The connection between neonatal jaundice and neurodevelopment later in life: a national birth cohort study

The connection between neonatal jaundice and neurodevelopment later in life: a national birth cohort study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The connection between neonatal jaundice and neurodevelopment later in life: a national birth cohort study Won Seok Lee, Ju Hee Kim, Boeun Han, Jeewon Shin, Eun Kyo Ha, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9238959/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 10 You are reading this latest preprint version Abstract Background Elevated serum bilirubin in neonates may serve as an early indicator of later neurodevelopment and influence gut microbiota composition after birth. This study examined the connection between neonatal jaundice requiring phototherapy and later neurodevelopment. Methods This retrospective population-based cohort included 3,203,983 children born in Korea from 2009 to 2015, tracked from birth until December 2021 in Korea. Neurodevelopmental outcomes at age six were assessed using national child health screening data. Analyses controlled for confounders including sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, income, and infant feeding type. Neurodevelopmental outcomes were evaluated in six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the Korean Developmental Screening Test (K-DST). Effect of phototherapy duration on each domain was also examined. Results A total of 1,004,385 neonates were included, of whom 121,366 (56.0% male) received phototherapy. Neonatal jaundice requiring phototherapy was significantly associated with abnormal outcomes in gross motor (adjusted odds ratio [aOR] 1.087, 95% CI 1.049–1.127, P < .0001), cognition (aOR 1.045, 95% CI 1.013–1.077, P = .0052), and language (aOR 1.049, 95% CI 1.013–1.086, P = .0072). Longer phototherapy duration (≥ 5 days) was associated with abnormal outcomes in overall assessment and gross motor, fine motor, cognition, and language domains. Conclusions Neonatal jaundice requiring phototherapy was associated with higher risk of abnormal neurodevelopment at age six, particularly in gross motor, cognition, and language domains. Prolonged phototherapy was also linked to adverse outcomes. Neonatal jaundice Phototherapy Children Neurodevelopment Figures Figure 1 1. Introduction Neonatal jaundice is a common problem in the first week of the neonatal period, which can be a physiologic phenomenon or a sign of a pathological disease. 1 The majority of neonatal jaundice cases is successfully managed with phototherapy 1 and usually resolves without complications, although there is potential for neurotoxicity in both preterm and term infants. 2 Elevated levels of bilirubin in neonates have long been associated with adverse developmental outcomes such as cerebral palsy, 3 neurocognitive impairment, 4 language processing disorders, 5 and deafness. 6 Therefore, in cases of severe neonatal jaundice, aggressive treatment to lower bilirubin levels is often provided in the neonatal intensive care units (NICU). Despite these efforts, numerous studies have consistently linked jaundice itself with various childhood diseases. A recent systematic review reported an association between neonatal jaundice and an increased risk of certain childhood-onset psychiatric disease, such as autism spectrum disorder (ASD) and attention deficit-hyperactivity disorder (ADHD). 7 Jaundice is known to be associated with harmful bacteria in the enterohepatic circulation, and its excretion can influence the gut microbiota. In fact, neonates with jaundice have been found to have dysbiosis characterized by a decreased abundance of Bifidobacteriales . 8 These changes in the gut microbiota may influence brain physiology and behavior through the humoral and neural pathways of gut-brain communication, suggesting that the gut microbiota plays a significant role in neurodevelopmental outcomes, as well as many neuropsychiatric disorders. 9 , 10 However, reports on the specific associations between neonatal jaundice and various neurodevelopmental domains in children have been limited. Previous studies have largely focused on a restricted range of diseases, 3, 4, 11 and have given insufficient consideration to factors such as breastfeeding, 12 prematurity, birth weight, 13 and the severity and treatment of neonatal jaundice. 14 Therefore, our goal is to assess the connections between neonatal jaundice requiring phototherapy and neurodevelopment in later life, consisted of six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the standardized Korean Developmental Screening Test (K-DST) at the age of six. We also aimed to determine how the duration of phototherapy affects the outcomes in each of these neurodevelopmental domains. Additionally, we used large-scale national data while controlling for various confounding factors that could influence neurodevelopment in childhood, such as sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, familial income levels, and infant feeding types. 2. Methods 2.1 Study design and data sources This study used an administrative observational cohort design based on data from the National Health Insurance Service (NHIS) database, which was linked to the National Health Screening Program for Infants and Children (NHSPIC). The NHSPIC conducts seven rounds of health screening to assess nutrition, neurodevelopment, and physical growth in children aged 4 to 71 months. 15 – 17 The NHIS is a mandatory national health insurance system that covers nearly 98% of the Korean population and provides demographic and clinical characteristics (sex, region at birth, familial income levels, calendar year at birth, and disease information). Additional baseline characteristics, including birth weight, prematurity, past history of care in the neonatal intensive care units (NICU), chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type from first round, were also included. Neurodevepmental outcomes were assessed in six domains (gross motor, fine motor, cognition, language, social skills, and self-help) in seventh round of NHSPIC at the age of 66 to 71 months. The Institutional Review Board of the Hallym University Kangnam Sacred Heart Hospital (2021-08-006) approved the study protocol, and informed consent was waived as the data were anonymized. 2.2 Study population and exposure This population-based cohort study involved all children (N = 3,203,983) born between 2009 to 2015 in Korea and tracked from birth to December 2021. Among them, we included children with data on birth weight, infant feeding type, and neurodevelopmental screening results from the Korean Developmental Screening Test (K-DST) of the seventh NHSPIC at age of 66 to 71 months. Among the total eligible participants (n = 2,099,162), the jaundice group (n = 728,863) was defined as children with diagnosis of neonatal jaundice under international classification of diseases (ICD)-10 code of P59, while the remaining participants constituted the control group (n = 1,370,299). We identified the ICD-10 based diagnosis of neonatal jaundice, among whom 728,863 (25.0%) having jaundice and 182,509 had undergone phototherapy (EDI code MM350). In the control group, we excluded children who had received phototherapy (n = 13,048). Additionally, the jaundice group was further stratified into three subgroups based on the phototherapy duration for neonatal jaundice, as classified under ICD-10 code P59 : the first quartile (< 25th percentile), the interquartile range (IQR) (25th – 75th percentile), and fourth quartile (≥ 75th percentile). The number and proportion of participants in each subgroup was presented in Supplementary eTable 1 . Furthermore, we included children from both control and jaundice groups who had available data on infant feeding type from the 1st NHSPIC at the age of 4 to 6 months and neurodevelopmental outcomes from the 7th NHSPIC at the age of 66 to 71 months. After applying these criteria, the final sample consisted of 121,366 children in jaundice group, and 883,019 in the control group. (Fig. 1 ) 2.3 Main outcomes — Neurodevelopment and neonatal jaundice The main outcomes of this study were the results of neurodevelopmental screening results at 66 to 71 months of age using the Korean Developmental Screening Test for Infants and Children (K-DST). The K-DST, validated developmental screening tool and detailed in Supplementary eTable 2 , 15–17 was developed by pediatrican, pediatric rehabilitation and pediatric psychiatrist for children under 7 years of age. It is a parent-reported questionnaire covering 15 six subdomains: gross motor, fine motor, cognition, language, social skills, and self-help, with each subdomain consisting of eight questions rated from 0 to 3. The outcomes were categorized into four classifications: ‘advanced development’ (scores ≥ 1 standard deviation (SD) above the mean), ‘age appropriate’ (scores within the range of 1 SD below to < 1 SD above the mean), ‘follow-up requests’ (scores from 2 SDs below to < 1 SD below the mean), and ‘recommendation for further evaluation’ (scores < 2 SDs below the mean), as detailed in Supplementary eTable 3 . The outcome of interest was the recommendation for further evaluation, considered an abnormal finding. The overall assessment classified as abnormal if any subdomains indicated the need for further evaluation, facilitating targeted interventions based on developmental status. 2.4 Additional outcomes — Neurodevelopment and neonatal jaundice, stratified by phototherapy duration The connection between neonatal jaundice and the abnormal K-DST results in the NHISC at age of 66 to 71 months, stratified by phototherapy duration, was also investigated. Children of neonatal jaundice requiring phototherapy were stratified into three subgroups base on the phototherapy duration: the first quartile (< 25th percentile), the interquartile range (IQR) (25th – 75th percentile), and fourth quartile (≥ 75th percentile). 2.5 Covariate The baseline demographic and clinical variables were obtained from the NHIS and NHSPIC databases. Information on sex (boy, or girl), low birth weight (< 2.5 kg, or ≥ 2.5 kg) prematurity (gestational periods < 37 weeks), calendar year at birth (2009 to 2011, or 2012 to 2015), infant feeding type (exclusive breast feeding, or mixed and artificial feeding) and the age of neurodevepmental status in national health screening was obtained from the NHSPIC. Information of infant feeding type was also obtained from the 1st NHSPIC database using a parent-answered questionnaire at 4 to 6 months of age. The question included “What do you feed your child usually?” The answers were as follows: breastfeeding alone, formula alone, mixed feeding with breastfeeding and formula, and specialized formula. Additionally, past history of care in the neonatal intensive care unit (NICU), chromosomal abnormalities (ICD-10 code of Q90 - Q99), congenital malformations (ICD-10 code of Q00 - Q89), region at birth (Seoul and metropolitan, or city and rural), familial income quantile for economic status (< 25, ≥ 25 and < 75, ≥ 75 percentile), was obtained from the NHIS. Baseline covariates are shown in Supplementary eTable 4 . 2.6 Statistical analysis All individuals were followed up from birth until the first diagnosis of the disease, death, or the end of the study (December 31, 2021). A multiple imputation procedure was used to deal with missing data. In addition, we utilized covariate adjustment methods for controlling covariates to confirm the association between neonatal jaundice and and neurodevelopment. First, to analyze the connection between neonatal jaundice and neurodevelopmental abnormality at age of 66–71 months, crue and adjusted odd ratios (OR) and 95% confidence interval (CI) were calculated. All analyses were adjusted for sex, birth weight, prematurity, past history of care in the NICU, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type. Forest plots with 95% confidential interval were generated to illustrate the association between neonatal jaundice and abnormal neurodevelopmental outcome in national health screening, stratified by phototherapy duration. P values of less than 0.05 were considered statistically significant. All statistical analyses were conducted using the SAS Enterprise Guide version, 7.1 (SAS Institute Inc.). 3. Results 3.1 Baseline characteristics of the study subjects The primary analysis emcompassed 1,004,385 participants, divided into unexposed neonate (n = 883,019) and jaundice neonate (n = 121,366). Among unexposed neonates, 439,812 (49.81%) were boys, whereas 67,927 (55.97%) of neonates with jaundice were boys. In the unexposed group, low birth weight (< 2.5 kg) was observed in 26,899 (3.05%), compared to 19,940 (16.43%) neonates in the jaundice group. A history of prematurity was reported in 27,186 (3.08%) in the unexposed group and 24,924 (20.54%) in the jaundice group. Data on chromosomal abnormalities and congenital malformations were obtained from the NHIS database, and identified using ICD-10 codes Q90-99 and Q00-89, respectively. Chromosomal abnormalities were observed in 2,045 (0.23%) in the unexposed group and 631 (0.52%) in the jaundice group. Congenital malformations were present in 179,628 (20.34%) in the unexposed group and 34,539 (28.46%) in the jaundice group. (Table 1 ) Table 1 Demographic and clinical characteristics of the participants Characterisctics Participants (N = 1,004,385) P value Control group ( n = 883,019) Jaundice group ( n = 121,366) Sex a < 0.0001 Boy 439,812 (49.81%) 67,927 (55.97%) Girl 443,207 (50.19%) 53,439 (44.03%) Birth weight a < 0.0001 ≥ 2.5kg 856,120 (96.95%) 101,426 (83.57%) < 2.5kg 26,899 (3.05%) 19,940 (16.43%) Prematurity a 27,186 (3.08%) 24,924 (20.54%) < 0.0001 Past history of care in the NICU b 14,684 (1.66%) 29,572 (24.37%) < 0.0001 Chromosomal abnormalities b, c 2,045 (0.23%) 631 (0.52%) < 0.0001 Congenital malformations b, d 179,628 (20.34%) 34,539 (28.46%) < 0.0001 Region at birth b, e < 0.0001 Seoul, or metropolitan 390,066 (44.17%) 51,156 (42.15%) City, or rural 485,368 (54.97%) 69,304 (57.10%) Familial income quantiles b, f < 0.0001 Low (< 25 percentile) 212,718 (24.09%) 29,208 (24.07%) Intermediate (≥ 25, 75 percentile) 212,749 (24.09%) 29,208 (24.07%) Calender years at birth a < 0.0001 2009–2011 285,623 (32.53%) 37,839 (31.18%) 2012–2015 597,396 (67.65%) 83,527 (68.82%) Infant feeding type a, g < 0.0001 Exclusive breast feeding 333,198 (37.73%) 42,215 (34.78%) Mixed feeding 366,981 (41.56%) 54,863 (45.20%) Artificial milk 182,840 (20.71%) 24,288 (20.01%) Age of neurodevelopmental status in NHSPIC (mean;month, SD) a 63.334 (51.639) 69.434 (2.061) Abbreviations, n, number; SD, standard deviation; NHSPIC, National Health Screening Program for Infants and Children; NICU, neonate intensive care unit. a Obtained from the NHSPIC. b Obtained from the National Health Insurance Service (NHIS). c The medical histories of chromosomal abnormalities were obtained in data of the NHIS as ICD-10 code of Q90-Q99. d The medical histories of congenital malformations were obtained in data of the NHIS as ICD-10 code of Q00-Q89. e Missing data: control group = 7,585 (0.86%), jaundice group = 906 (0.75%). f Economic status was determined by the amount of insurance copayment, which directly reflects family income, missing data: control group = 32,023 (3.63%), jaundice group = 4,526 (3.73%). g Missing data : control group = 0 (0.0%), jaundice group = 0 (0.0%). 3.2 Neurodevelopment and neonatal jaundice Table 2 presents the association between neonatal jaundice requiring phototherapy and the abnormal K-DST results in the neurodevelopmental screening at 66–71 months of age. We identified that exposed cohort was significantly associated with abnormal neurodevelopmental screening results in the domains of gross motor (adjusted odd ratio [aOR] 1.087, 95% confidential interval [CI] 1.049–1.127, P < 0.0001), cognition (aOR 1.045, 95% CI 1.013–1.077, P = 0.0052), and language (aOR 1.049, 95% CI 1.013–1.086, P = 0.0072). However, no significant associations were observed between neonatal jaundice and abnormal results in the overall assessment, fine motor, social skills, or self-help domains. Table 2 Associations between neonatal jaundice requiring phototherapy and the abnormal K-DST results a in the neurodevelopmental screening b at 66 to 71 months of age. Domains of developmental screening Control group, n (%) Jaundice group, n (%) cOR (estimate, 95% CI) c P value aOR c (estimate, 95% CI) P value Overall assessment 14,865/883,019 (1.68%) 2,822/121,366 (2.33%) 1.390 (1.335–1.448) < 0.0001 * 1.046 (0.997–1.098) 0.0635 Gross motor 27,761/757,626 (3.66%) 4,780/104,010 (4.60%) 1.267 (1.228–1.307) < 0.0001 * 1.087 (1.049–1.127) < 0.0001 * Fine motor 27,623/757,626 (3.65%) 4,675/104,008 (4.49%) 1.244 (1.205–1.284) < 0.0001 * 1.003 (0.967–1.040) 0.8743 Cognition 40,471/757,638 (5.34%) 6,595/104,014 (6.34%) 1.200 (1.168–1.232) < 0.0001 * 1.045 (1.013–1.077) 0.0052 * Language 30,408/757,709 (4.01%) 5,175/104,022 (4.97%) 1.252 (1.215–1.291) < 0.0001 * 1.049 (1.013–1.086) 0.0072 * Social skills 26,595/757,707 (3.51%) 4,313/104,019 (4.15%) 1.160 (1.123-1.200) < 0.0001 * 1.009 (0.972–1.048) 0.6286 Self-help 31,029/757,715 (4.10%) 4,984/104,019 (4.79%) 1.179 (1.143–1.215) < 0.0001 * 1.016 (0.981–1.052) 0.3728 Abbreviations, n, number; K-DST, Korean developmental screening test; cOR, crude odd ratio; aOR, adjusted odd ratio; CI, confidence interval. a The neurodevelopmental screening results were categorized into advanced development, age appropriate, follow-up requests, and further evaluation recommendation. Follow-up requests, and further evaluation were considered abnormal. b Acquired from the Korean developmental screening test of the National Health Screening Program for Infants and Children, which is conducted between 66 and 71 months. c Adjusted by sex, birth weight, prematurity, past history of care in the neonatal intensive care units, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type. * indicated P < 0.05 3.3 Neurodevelopment and neonatal jaundice, stratified by phototherapy duration The median phototherapy duration in the neonatal jaundice group was 3 days (standardized deviation [SD] 2.411), and the first and third quartiles of phototherapy duration were 2, and 4 days, respectively ( Supplementary eTable 1 ). The association between neonatal jaundice and abnormal K-DST results in the NHISC at 66 to 71 months of age, stratified by phototherapy duration, was illustrated in the forest plot presented in Table 3 , with additional data available in Supplementary eTable 5 . Notably, neonates in the fourth quartile (≥ 75th percentile) for phototherapy duration (≥ 5 days) was found to be significantly associated with abnormal neurodevelopmental screening results in the overall assessment (aOR 1.145, 95% CI 1.056–1.241, P = 0.0037), as well as in the gross motor (aOR 1.153, 95% CI 1.082–1.229, P = 0.0026), fine motor (aOR 1.081, 95% CI 1.014–1.152, P = 0.0061), cognition (aOR 1.099, 95% CI 1.040–1.161, P = 0.0084), and language domains (aOR 1.125, 95% CI 1.059–1.195, P = 0.0014). However, no significant associations were observed between neonatal jaundice with phototherapy duration in the first to third quartiles and abnormal results in any neurodevelopmental screening domains. 3.3 Factors associated with neurodevelopment and neonatal jaundice Factors associated with neonatal jaundice and the abnormal results in the overall assessment of the neurodevelopmental screening at 66 to 71 months of age were analyzed according to the phototherapy duration (Table 4 ). Low birth weight (< 2.5kg) was identified as a significant covariate associated between jaundice neonates in both the interquartile range (≥ 25th percentile, < 75th percentile) and highest quartile (≥ 75th percentile) of phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. Prematurity, and a history of care in the NICU, chromosomal abnormalities, or congenital malformations were also associated covariates between jaundice neonates in the all quartiles for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. Furthermore, familial income quntile was a significant associated covariate between the neonates in the highest quartile (≥ 75th percentile) for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. However, covariates, such as region at birth, calender year at birth, and infant feeding type were not significantly associated between neonatal jaundice in the all quartiles for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. Table 4 Factors associated with neonatal jaundice and the abnormal results a in the overall assessment domain of the neurodevelopmental screening b at 66 to 71 months of age according to the phototherapy duration. Characterisctics /Phototherapy duration Control group, n (%) prevalance Jaundice group, n (%) prevalance Estimate aOR c (estimate, 95% CI) c P value Total participants 14,865/883,019 0.017 2822/121366 0.023 Sex a Boy 9,566/439,812 0.022 Girl 5,299/443,207 0.012 <25P Boy 480/18,856 0.025 -1.9994 0.972 (0.879–1.074) 0.0265 * Girl 269/15,827 0.017 -2.6728 1.129 (0.990–1.289) 25P to 75P Boy 819/31,511 0.026 -1.9883 1.006 (0.929–1.089) 0.6136 Girl 360/25,044 0.014 -2.7211 0.930 (0.826–1.048) ≥75P Boy 629/17,560 0.036 -1.9583 1.136 (1.025–1.260) 0.8157 Girl 265/12,568 0.021 -2.6961 1.051 (0.901–1.228) Low birth weight a < 2.5 kg 792/26,899 0.029 ≥ 2.5 kg 14,073/856,120 0.016 <25P < 2.5 kg 137/4,198 0.033 -2.1734 0.930 (0.756–1.143) 0.0568 ≥ 2.5 kg 612/30,485 0.020 -2.4741 1.042 (0.956–1.136) 25P to 75P < 2.5 kg 206/6,843 0.030 -2.2091 0.833 (0.696–0.996) 0.0026 * ≥ 2.5 kg 973/49,712 0.020 -2.4614 1.007 (0.939–1.081) ≥75P < 2.5 kg 340/8,899 0.038 -2.2005 0.976 (0.816–1.167) < 0.0001 * ≥ 2.5 kg 554/21,229 0.026 -2.3992 1.181 (1.072-1.300) Prematurity a No 14,135/855,793 0.017 Yes 730/27,186 0.027 <25P No 607/29,641 0.020 -2.3269 1.060 (0.972–1.156) 0.0110 * Yes 142/5,040 0.028 -2.3115 0.870 (0.711–1.064) 25P to 75P No 921/47,527 0.019 -2.3386 1.010 (0.940–1.085) 0.0157 * Yes 258/9,027 0.029 -2.3172 0.851 (0.723–1.001) ≥75P No 512/19,271 0.027 -2.2302 1.232 (1.116–1.358) < 0.0001 * Yes 382/10,857 0.035 -2.3596 0.903 (0.765–1.066) Past history of care in the NICU, Chromosomal abnormalities d , or Congenital malformations e No 14,359/868,335 0.017 Yes 506/14,684 0.034 <25P No 561/28,700 0.020 -2.5039 1.063 (0.974–1.161) 0.0361 * Yes 188/5,983 0.031 -2.2041 0.912 (.0760-1.094) 25P to 75P No 845/453,668 0.002 -2.5060 1.014 (0.954–1.090) 0.0296 * Yes 334/11,187 0.030 -2.1926 0.891 (0.767–1.035) ≥75P No 406/17,723 0.023 -2.4463 1.179 (1.062–1.309) 0.0212 * Yes 488/12,402 0.039 -2.1761 1.079 (0.320–1.250) Region at birth b Seoul, metropolitan 6,166/390,066 0.016 City, rural 8,524/485,368 0.018 <25P Seoul, metropolitan 289/14,300 0.020 -2.4115 1.009 (0.889–1.144) 0.9856 City, rural 447/20,132 0.022 -2.3437 1.028 (0.927–1.139) 25P to 75P Seoul, metropolitan 482/24,113 0.020 -2.3773 1.009 (0.912–1.117) 0.3389 City, rural 686/32,024 0.021 -2.3718 0.962 (0.882–1.049) ≥75P Seoul, metropolitan 372/12,743 0.029 -2.3807 1.091 (0.953–1.248) 0.5964 City, rural 512/17,148 0.030 -2.3255 1.120 (1.002–1.251) Familial income quantile b, f Low (< 25P) 4,587/212,718 0.022 High (≥ 75P) 3,111/212,749 0.015 <25P Low (< 25P) 195/7,584 0.026 -2.1182 0.934 (0.800-1.091) 0.4481 High (≥ 75P) 180/9,320 0.019 -2.4973 1.063 (0.905–1.247) 25P to 75P Low (< 25P) 327/13,842 0.024 -2.1347 0.869 (0.768–0.983) 0.0577 High (≥ 75P) 253/13,290 0.019 -2.4799 1.013 (0.880–1.167) ≥75P Low (< 25P) 254/7,782 0.033 -2.1189 0.925 (0.789–1.084) 0.0307 * High (≥ 75P) 171/6,598 0.026 -2.4759 1.077 (0.889–1.303) Calender year at birth a 2009–2011 3,806/285,623 0.013 2012–2015 11,059/597,396 0.019 <25P 2009–2011 144/9,207 0.016 -2.4978 0.930 (0.754–1.083) 0.3964 2012–2015 605/25,476 0.024 -2.1751 1.056 (0.966–1.154) 25P to 75P 2009–2011 270/18,064 0.015 -2.4619 0.844 (0.735–0.968) 0.1360 2012–2015 909/38,491 0.024 -2.1885 1.027 (0.953–1.107) ≥75P 2009–2011 245/10,568 0.023 -2.4742 1.026 (0.868–1.212) 0.9079 2012–2015 649/19,560 0.033 -2.1560 1.132 (1.024–1.251) Infant feeding type a Exclusive breast 4,451/333,198 0.013 Mixed, artificial milk 10,414/549,821 0.019 <25P Exclusive breast 194/11,839 0.016 -2.5165 1.005 (0.860–1.173) 0.9513 Mixed, artificial milk 555/22,844 0.024 -2.2450 1.026 (0.935–1.126) 25P to 75P Exclusive breast 315/20,467 0.015 -2.5323 0.954 (0.842–1.082) 0.5398 Mixed, artificial milk 864/36,088 0.024 -2.2484 0.992 (0.910–1.072) ≥75P Exclusive breast 205/9,909 0.021 -2.5104 1.085 (0.917–1.284) 0.9301 Mixed, artificial milk 689/20,219 0.034 -2.2211 1.113 (1.007–1.229) Abbreviations, n, number; SD, standard deviation; NHSPIC, National Health Screening Program for Infants and Children; P, percentile; NICU, neonate intensive care unit. a Obtained from the NHSPIC. b Obtained from the National Health Insurance Service (NHIS). c aOR was adjusted by sex, birth weight, prematurity, past history of care in the neonatal intensive care units, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type. d The medical histories of chromosomal abnormalities were obtained in data of the NHIS as ICD-10 code of Q90-Q99. e The medical histories of congenital malformations were obtained in data of the NHIS as ICD-10 code of Q00-Q89. f Economic status was determined by the amount of insurance copayment, which directly reflects family income, missing data: control group = 32,023 (3.63%), jaundice group = 4,526 (3.73%). * indicated P < 4. Discussion This administrative cohort study aimed to investigate the connection between neonatal jaundice requiring phototherapy and the subsequent neurodevelopmental outcomes at 6 years of age linked to changes in the gut microbiome. Neonatal jaundice is common issue in the first week of life, which can be a physiologic phenomenon or a sign of a pathological disease. 1 However, concerns have been raised regarding its potential negative effects on public health issues and the neurodevelopmental outcomes in children. Our findings indicate that the neonatal jaundice requiring phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the domains of gross motor, cognition, and language. Additionally, jaundice neonates requiring more longer duration of phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the overall assessment, as well as in the gross motor, fine motor, cognition, and language domains. These insights offer a nuanced understanding of the impact of neonatal jaundice on subsequent neurodevelopmental outcomes; this is to ensure that physicians need to more careful diagnose of jaundice occurring in the neonatal period, and to observe more judiciously for the possibility of abnormal neurodevelopmental outcomes related to neonatal jaundice. The majority of unconjugated bilirubin is immediately bound to protein, mainly albumin, but a fraction of unconjugated bilirubin may remain free. The great concern regarding significant neonatal jaundice is bilirubin-associated neurotoxicity caused by the spreading of unconjugated bilirubin across the immature blood–brain barrier. 18 Bilirubin has a specific predilection for certain areas of the brain, including various cranial nerve nuclei—particularly the cochlear, vestibular, and oculomotor; several brainstem nuclei, especially the reticular formation of the pons; the inferior olivary nuclei; the cerebellar nuclei—particularly the dentate nucleus; the basal ganglia, specifically the globus pallidus and subthalamus; the hippocampus, especially sectors of CA2 and CA3; the substantia nigra; and the cerebellar vermis. 19 , 20 Recent reports on the effects of early bilirubin exposure on developing neurons in cell culture indicate a spectrum of bilirubin-induced neurologic dysfunction, including neuritic atrophy, cell death, decreased neuronal arborization, arrested neuritic growth, and neuritic hypoplasia. 21 These finding suggests that neurodevelopmental maturation, particularly in premature infants, may be affected by ability of bilirubin to alter neurogenesis, neuritogenesis, and synaptogenesis. 21 Gut microbiota plays a crucial role in enterohepatic circulation, which is essential for bilirubin secretion. 22 Neonates with jaundice often exhibit gut dysbiosis, characterized by a reduced abundance of Bifidobacteriales . This microbiota may help prevent jaundice suppressing beta-glucuronidase, which accelerates the deconjugation of conjugated bilirubin in the intestine. 8 The gut microbiota interacts bidirectionally with various body systems, forming several systemic axes, such as the brain-gut, liver-gut, skin-gut, kidney-gut, and lung-gut axes. 9 , 10 , 23 Dysbiosis has been significantly associated with neurodevelopment, behavioral abnormalities, as well as various neuropsychiatric disorders, including ASD and epilepsy. Additionally, dysbiosis is known to be linked to gastrointestinal diseases (e.g. infantile colic, functional constipation, and irritable bowel disease), and allergic conditions (e.g, atopic dermatitis, bronchial asthma, and food allergies). 9 , 10 , 23 Growing evidence suggests that neurological dysfunctions can rise from hyperbilirubinemia and may be underestimated by medical clinicians, highlighting the need for increased attention to infants with mild degrees of hyperbilirubinemia. 21 , 24 Our study showed that that neonatal jaundice was significantly associated with neurodevelopmental abnormalities in the domains of gross motor, cognition, and language, with additional associations in the fine motor and cognition domains for jaundice neonates requiring more longer duration of phototherapy. A nationwide population-based cohort study in Taiwan found that significant neonatal jaundice may be a potential risk factor for the accumulative incidence of long-term neurodevelopmental sequelae. 18 This study indicated that affected patients had a 1.5- to 3-fold increased risk of nine specific neurodevelopmental sequelae compared to the reference cohort. 18 These conditions included developmental delay, mental retardation, infantile cerebral palsy, abnormal physiological development in childhood, developmental speech or language disorders, dysarthria, hearing loss, ADHD, and ASD. 18 Moreover, the subgroup that received intensive phototherapy exhibited an higher risks for most long-term sequelae, with exception of mental retardation. 18 Meanwhile, several researchers have investigated the association between peak serum bilirubin levels in neonatal jaundice and neurodevelopmental outcomes later in life. A retrospective study conducted in India found that the incidence of an abnormal developmental quiotient gradually increased with rising peak serum bilirubin. 25 In their cohort, key predictors of abnormal development include peak serum bilirubin level of ≥ 22 mg/dl. 25 A European prospective study investigated whether moderate hyperbilirubinemia in healthy term neonates is associated with an increase of minor neurological dysfunction and behavioral problems up to 18 months of age. The study found that moderate hyperbilirubinemia (22–30 mg/dl) did not increase the incidence of minor neurologic dysfunction within this period. However, serum bilirubin levels of ≥ 30 mg/dl were significantly associated with a higher risk of complex minor neurological dysfunction. 26 Hearing is crucial for language development, and evidence suggests that auditory dysfunction or sensory deprivation during development periods can affect latter language acquisition. 27 , 28 We observed a significant association between neonates with jaundice requiring phototherapy and abnormal findings in the language domain. It is necessary to consider the impact of neonatal jaundice on auditory dysfunction in children with language developmental abnormalities. Children with hearing loss or auditory neuropathy may face language issues depending on the timing, severity, and duration of auditory dysfunction. 29 , 30 The auditory system is particularly vulnerable to bilirubin-induced toxicity, and studies have shown an association between hyperbilirubinemia and sensorineural hearing loss or auditory neuropathy in neonates. 5, 20, 31 Additionally, reversible auditory dysfunction at both peripheral and brainstem levels has been reported due to indirect hyperbilirubinemia, a common condition in the first postnatal week. 20 , 32 , 33 The extent of bilirubin-induced auditory toxicity can be influenced by the degree and duration of hyperbilirubinemia. 30 , 34 A recent population-based cohort study found that neonatal jaundice significantly increased the risk of long-term sequelae, including hearing loss, developmental speech disorders, and dysarthria. 18 Further studies are needed to investigate the association between neonatal jaundice requiring phototherapy and the subsequent diagnosis of various language disorders in children. The K-DST was developed through the NHSPIC, and plays a crucial role as the primary infrastructure supporting the healthy growth of infants and children by tracking and managing their growth and development in Korea. The key objective of K-DST is to screen for the early detection of neurodevelopmental and psychiatric disorders, facilitating timely referrals to specialists for further evaluation. Recently, public interest in pediatric psychiatric disorders has been growing, along with an increasing number of studies exploring the link between neonatal jaundice and psychiatric conditions in children, such as ASD, and ADHD. ASD is a lifelong neurodevelopmental disorder, and its high prevalence suggests that perinatal and postnatal factor during the neonatal period may contribute to this risk. 20 ASD is often associated with cerebellar hypoplasia, which may result from cerebellar injury due to exposure to etiological agents. 35 , 36 Given the cerebellum’s interactions with the cerebrum and sensory cortices, cerebellar injury could play a key role in the abnormal brain development seen in ASD. 37 A Danish case–control study found nearly a four-fold increased risk of infantile autism with postnatal. 38 Another retrospective study revealed a significant association between neonatal jaundice and ASD. 39 However, a large case-control study in Northern California found no association between neonatal hyperbilirubinemia and ASD among singleton term infants, suggesting that hyperbilirubinemia may not be a risk factor of ASD. 40 Additionally, a twin study in the United States found that neonatal jaundice was associated with an increased risk for ASD only in females, not in males. 41 Meanwhile, ADHD is a common neurodevelopmental with a prevalence of at least 5%, and it is linked to various functional impairments such as school dysfunction, peer issues, family conflicts, poor occupational performance, injuries, anti-social behavior and traffic accidents. 42 , 43 Given that ADHD has early onset and neonatal jaundice could potentially impact ADHD by affecting the basal ganglia, research into their association has produced mixed results. 43 A large U.S. patient register study found no significant link between neonatal jaundice and ADHD. 44 Conversely, a population-based study indicated an increased risk of ADHD with severe hyperbilirubinemia, but not with mild hyperbilirubinemia. 45 A Taiwanese cohort study reported a higher risk of ADHD in the neonatal jaundice group. 46 Similarly, a large Swedish cohort study found a higher risk of ADHD associated with neonatal jaundice at a population level, though no independent association was observed in sibling comparisons. 47 Further studies are needed to investigate the association between neonatal jaundice and the subsequent diagnosis of various psychiatric diseases in children. Our research utilized a large sample population, incorporating data from the national health insurance system, which covers the majority of the country's population, and government-led pediatric neurodevelopmental screening tests. We aimed to assess the connections between neonatal jaundice requiring phototherapy and neurodevelopment in later life, consisted of six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the standardized Korean Developmental Screening Test (K-DST) at the age of six. Large-scale national data were used, controlling for various confounding factors that could influence neurodevelopment in childhood, such as sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, familial income levels, and infant feeding types. However, this study has several limitations. First, due to the nature of our data, unmeasured variables may have influenced our results, so caution is warranted when interpreting these findings. Second, the use of diagnostic codes from health insurance claims to identify childhood diseases may have led to overestimation or underestimation of diagnoses. The childhood diseases defined in this study may have gaps with the actual diagnoses that rely on symptoms and tests in real clinics. Therefore, the results should be interpreted with caution. Third, neonatal jaundice can result from various causes, including incompatibility of maternal-fetal blood type, breastfeeding-related, bacterial sepsis, infectious meningitis, congenital biliary atresia, and idiopathic origins. However, our study did not account for or subdivided the different mechanisms of neonatal jaundice that may influence neurodevelopmental outcomes later in life. Fourth, we defined more severe neonatal jaundice based on a longer duration of phototherapy. However, in clinical practice, the severity of jaundice is often assessed by the peak serum bilirubin level. Due to limitations in our study national health insurance database, we were unable to include peak serum bilirubin levels in our analysis. Lastly, in cases of severe neonatal jaundice that occurs within the first few days of life, such as neonatal jaundice cause by Rh incompatibility, exchange transfusion may be considered, and this treatment can affect the duration of phototherapy. In conclusion, this administrative cohort study indicate that the neonatal jaundice requiring phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the domains of gross motor, cognition, and language potentially linked to changes in the gut microbiome. Our findings provide physicians with a nuanced understanding of the impact of neonatal jaundice and neurodevelopment in children. This highlights the need for careful diagnosis of jaundice during the neonatal period and vigilant observation for potential related neurodevelopmental outcomes. Further research is necessary to explore the potential links between neonatal jaundice and various neurodevelopmental and psychiatric conditions in children. Declarations Funding/Support This work was supported by a grant from Korea Health Technology R&D (HR22C1605030022). Role of the Funder/Sponsor The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Access to Data statement Man Yong Han had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Author Contributions Won Seok Lee, Ji Hee Kwak and Man Yong Han conceived the idea. Man Yong Han and Boeun Han analyzed the data. Won Seok Lee and Sun Kyung Lee wrote the manuscript with inputs from the authors. Ju Hee Kim, Jeewon Shin, Boeun Han, Eun Kyo Ha, Eun Lee, Ji Hee Kwak, and Sun Kyung Lee investigated and supervised this study. All authors discussed the results and contributed to the final manuscript. Institutional Review Board Statement This study was conducted in accordance with the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of the Korea National Institute for Bioethics Policy (P01-201603-21-005). Informed Consent Statements The waiver of informed consent from participants and all data from the Korean National Health Insurance Service (NHIS) and National Health Screening Program for Infants and Children (NHSPIC) were anonymized. Data Availability This study was based on the National Health Claims Database (NHIS-2019-1-560), established by the NHIS of the Republic of Korea. Applications using NHIS data were reviewed by the Inquiry Committee of Research Support. If an application is approved, raw data are provided to the applicant for a fee. We cannot provide access to the data, analytical methods, or research materials to other researchers because the intellectual property rights of this database are owned by the National Health Insurance Corporation. However, investigators who wish to reproduce our results or replicate the procedure can be included in the database, which is open for research purposes (https://nhiss.nhis.or.kr/). Conflict of Interest The authors declare that this study was conducted in the absence of any commercial or financial relationships that could be interpreted as potential conflicts of interest. References Ullah S, Rahman K, Hedayati M. Hyperbilirubinemia in Neonates: Types, Causes, Clinical Examinations, Preventive Measures and Treatments: A Narrative Review Article. Iran J Public Health May. 2016;45(5):558–68. 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16:27:10","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1142364,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9238959/v1/6fe52a20-5f09-45c5-88a7-1d498349ee82.pdf"},{"id":107658555,"identity":"cd5f3344-89f3-4344-a94f-677c3d14b747","added_by":"auto","created_at":"2026-04-23 16:26:51","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":47725,"visible":true,"origin":"","legend":"","description":"","filename":"BMCPHjaundicesupplementaryetables03262026.docx","url":"https://assets-eu.researchsquare.com/files/rs-9238959/v1/f8f5e2eca7979d4a2d24df6c.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"The connection between neonatal jaundice and neurodevelopment later in life: a national birth cohort study","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eNeonatal jaundice is a common problem in the first week of the neonatal period, which can be a physiologic phenomenon or a sign of a pathological disease.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e The majority of neonatal jaundice cases is successfully managed with phototherapy\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e and usually resolves without complications, although there is potential for neurotoxicity in both preterm and term infants.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Elevated levels of bilirubin in neonates have long been associated with adverse developmental outcomes such as cerebral palsy,\u003csup\u003e3\u003c/sup\u003e neurocognitive impairment,\u003csup\u003e4\u003c/sup\u003e language processing disorders,\u003csup\u003e5\u003c/sup\u003e and deafness.\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e Therefore, in cases of severe neonatal jaundice, aggressive treatment to lower bilirubin levels is often provided in the neonatal intensive care units (NICU). Despite these efforts, numerous studies have consistently linked jaundice itself with various childhood diseases. A recent systematic review reported an association between neonatal jaundice and an increased risk of certain childhood-onset psychiatric disease, such as autism spectrum disorder (ASD) and attention deficit-hyperactivity disorder (ADHD).\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eJaundice is known to be associated with harmful bacteria in the enterohepatic circulation, and its excretion can influence the gut microbiota. In fact, neonates with jaundice have been found to have dysbiosis characterized by a decreased abundance of \u003cem\u003eBifidobacteriales\u003c/em\u003e.\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e These changes in the gut microbiota may influence brain physiology and behavior through the humoral and neural pathways of gut-brain communication, suggesting that the gut microbiota plays a significant role in neurodevelopmental outcomes, as well as many neuropsychiatric disorders.\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e However, reports on the specific associations between neonatal jaundice and various neurodevelopmental domains in children have been limited. Previous studies have largely focused on a restricted range of diseases,\u003csup\u003e3, 4, 11\u003c/sup\u003e and have given insufficient consideration to factors such as breastfeeding,\u003csup\u003e12\u003c/sup\u003e prematurity, birth weight,\u003csup\u003e13\u003c/sup\u003e and the severity and treatment of neonatal jaundice.\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eTherefore, our goal is to assess the connections between neonatal jaundice requiring phototherapy and neurodevelopment in later life, consisted of six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the standardized Korean Developmental Screening Test (K-DST) at the age of six. We also aimed to determine how the duration of phototherapy affects the outcomes in each of these neurodevelopmental domains. Additionally, we used large-scale national data while controlling for various confounding factors that could influence neurodevelopment in childhood, such as sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, familial income levels, and infant feeding types.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Study design and data sources\u003c/h2\u003e \u003cp\u003eThis study used an administrative observational cohort design based on data from the National Health Insurance Service (NHIS) database, which was linked to the National Health Screening Program for Infants and Children (NHSPIC). The NHSPIC conducts seven rounds of health screening to assess nutrition, neurodevelopment, and physical growth in children aged 4 to 71 months.\u003csup\u003e\u003cspan additionalcitationids=\"CR16\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e The NHIS is a mandatory national health insurance system that covers nearly 98% of the Korean population and provides demographic and clinical characteristics (sex, region at birth, familial income levels, calendar year at birth, and disease information). Additional baseline characteristics, including birth weight, prematurity, past history of care in the neonatal intensive care units (NICU), chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type from first round, were also included. Neurodevepmental outcomes were assessed in six domains (gross motor, fine motor, cognition, language, social skills, and self-help) in seventh round of NHSPIC at the age of 66 to 71 months. The Institutional Review Board of the Hallym University Kangnam Sacred Heart Hospital (2021-08-006) approved the study protocol, and informed consent was waived as the data were anonymized.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Study population and exposure\u003c/h2\u003e \u003cp\u003eThis population-based cohort study involved all children (N\u0026thinsp;=\u0026thinsp;3,203,983) born between 2009 to 2015 in Korea and tracked from birth to December 2021. Among them, we included children with data on birth weight, infant feeding type, and neurodevelopmental screening results from the Korean Developmental Screening Test (K-DST) of the seventh NHSPIC at age of 66 to 71 months.\u003c/p\u003e \u003cp\u003eAmong the total eligible participants (n\u0026thinsp;=\u0026thinsp;2,099,162), the jaundice group (n\u0026thinsp;=\u0026thinsp;728,863) was defined as children with diagnosis of neonatal jaundice under international classification of diseases (ICD)-10 code of P59, while the remaining participants constituted the control group (n\u0026thinsp;=\u0026thinsp;1,370,299). We identified the ICD-10 based diagnosis of neonatal jaundice, among whom 728,863 (25.0%) having jaundice and 182,509 had undergone phototherapy (EDI code MM350). In the control group, we excluded children who had received phototherapy (n\u0026thinsp;=\u0026thinsp;13,048). Additionally, the jaundice group was further stratified into three subgroups based on the phototherapy duration for neonatal jaundice, as classified under ICD-10 code P59 : the first quartile (\u0026lt;\u0026thinsp;25th percentile), the interquartile range (IQR) (25th \u0026ndash; 75th percentile), and fourth quartile (\u0026ge;\u0026thinsp;75th percentile). The number and proportion of participants in each subgroup was presented in \u003cb\u003eSupplementary eTable 1\u003c/b\u003e.\u003c/p\u003e \u003cp\u003eFurthermore, we included children from both control and jaundice groups who had available data on infant feeding type from the 1st NHSPIC at the age of 4 to 6 months and neurodevelopmental outcomes from the 7th NHSPIC at the age of 66 to 71 months. After applying these criteria, the final sample consisted of 121,366 children in jaundice group, and 883,019 in the control group. (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e)\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Main outcomes \u0026mdash; Neurodevelopment and neonatal jaundice\u003c/h2\u003e \u003cp\u003eThe main outcomes of this study were the results of neurodevelopmental screening results at 66 to 71 months of age using the Korean Developmental Screening Test for Infants and Children (K-DST). The K-DST, validated developmental screening tool and detailed in \u003cb\u003eSupplementary eTable 2\u003c/b\u003e,\u003csup\u003e\u003cb\u003e15\u0026ndash;17\u003c/b\u003e\u003c/sup\u003e was developed by pediatrican, pediatric rehabilitation and pediatric psychiatrist for children under 7 years of age. It is a parent-reported questionnaire covering\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e six subdomains: gross motor, fine motor, cognition, language, social skills, and self-help, with each subdomain consisting of eight questions rated from 0 to 3. The outcomes were categorized into four classifications: \u0026lsquo;advanced development\u0026rsquo; (scores\u0026thinsp;\u0026ge;\u0026thinsp;1 standard deviation (SD) above the mean), \u0026lsquo;age appropriate\u0026rsquo; (scores within the range of 1 SD below to \u0026lt;\u0026thinsp;1 SD above the mean), \u0026lsquo;follow-up requests\u0026rsquo; (scores from 2 SDs below to \u0026lt;\u0026thinsp;1 SD below the mean), and \u0026lsquo;recommendation for further evaluation\u0026rsquo; (scores\u0026thinsp;\u0026lt;\u0026thinsp;2 SDs below the mean), as detailed in \u003cb\u003eSupplementary eTable 3\u003c/b\u003e. The outcome of interest was the recommendation for further evaluation, considered an abnormal finding. The overall assessment classified as abnormal if any subdomains indicated the need for further evaluation, facilitating targeted interventions based on developmental status.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 Additional outcomes \u0026mdash; Neurodevelopment and neonatal jaundice, stratified by phototherapy duration\u003c/h2\u003e \u003cp\u003eThe connection between neonatal jaundice and the abnormal K-DST results in the NHISC at age of 66 to 71 months, stratified by phototherapy duration, was also investigated. Children of neonatal jaundice requiring phototherapy were stratified into three subgroups base on the phototherapy duration: the first quartile (\u0026lt;\u0026thinsp;25th percentile), the interquartile range (IQR) (25th \u0026ndash; 75th percentile), and fourth quartile (\u0026ge;\u0026thinsp;75th percentile).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5 Covariate\u003c/h2\u003e \u003cp\u003e The baseline demographic and clinical variables were obtained from the NHIS and NHSPIC databases. Information on sex (boy, or girl), low birth weight (\u0026lt;\u0026thinsp;2.5 kg, or \u0026ge;\u0026thinsp;2.5 kg) prematurity (gestational periods\u0026thinsp;\u0026lt;\u0026thinsp;37 weeks), calendar year at birth (2009 to 2011, or 2012 to 2015), infant feeding type (exclusive breast feeding, or mixed and artificial feeding) and the age of neurodevepmental status in national health screening was obtained from the NHSPIC. Information of infant feeding type was also obtained from the 1st NHSPIC database using a parent-answered questionnaire at 4 to 6 months of age. The question included \u0026ldquo;What do you feed your child usually?\u0026rdquo; The answers were as follows: breastfeeding alone, formula alone, mixed feeding with breastfeeding and formula, and specialized formula. Additionally, past history of care in the neonatal intensive care unit (NICU), chromosomal abnormalities (ICD-10 code of Q90 - Q99), congenital malformations (ICD-10 code of Q00 - Q89), region at birth (Seoul and metropolitan, or city and rural), familial income quantile for economic status (\u0026lt;\u0026thinsp;25, \u0026ge; 25 and \u0026lt;\u0026thinsp;75, \u0026ge; 75 percentile), was obtained from the NHIS. Baseline covariates are shown in \u003cb\u003eSupplementary eTable 4\u003c/b\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e2.6 Statistical analysis\u003c/h2\u003e \u003cp\u003eAll individuals were followed up from birth until the first diagnosis of the disease, death, or the end of the study (December 31, 2021). A multiple imputation procedure was used to deal with missing data. In addition, we utilized covariate adjustment methods for controlling covariates to confirm the association between neonatal jaundice and and neurodevelopment. First, to analyze the connection between neonatal jaundice and neurodevelopmental abnormality at age of 66\u0026ndash;71 months, crue and adjusted odd ratios (OR) and 95% confidence interval (CI) were calculated. All analyses were adjusted for sex, birth weight, prematurity, past history of care in the NICU, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type. Forest plots with 95% confidential interval were generated to illustrate the association between neonatal jaundice and abnormal neurodevelopmental outcome in national health screening, stratified by phototherapy duration. P values of less than 0.05 were considered statistically significant. All statistical analyses were conducted using the SAS Enterprise Guide version, 7.1 (SAS Institute Inc.).\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Baseline characteristics of the study subjects\u003c/h2\u003e \u003cp\u003eThe primary analysis emcompassed 1,004,385 participants, divided into unexposed neonate (n\u0026thinsp;=\u0026thinsp;883,019) and jaundice neonate (n\u0026thinsp;=\u0026thinsp;121,366). Among unexposed neonates, 439,812 (49.81%) were boys, whereas 67,927 (55.97%) of neonates with jaundice were boys. In the unexposed group, low birth weight (\u0026lt;\u0026thinsp;2.5 kg) was observed in 26,899 (3.05%), compared to 19,940 (16.43%) neonates in the jaundice group. A history of prematurity was reported in 27,186 (3.08%) in the unexposed group and 24,924 (20.54%) in the jaundice group. Data on chromosomal abnormalities and congenital malformations were obtained from the NHIS database, and identified using ICD-10 codes Q90-99 and Q00-89, respectively. Chromosomal abnormalities were observed in 2,045 (0.23%) in the unexposed group and 631 (0.52%) in the jaundice group. Congenital malformations were present in 179,628 (20.34%) in the unexposed group and 34,539 (28.46%) in the jaundice group. (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e)\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographic and clinical characteristics of the participants\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCharacterisctics\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e \u003cp\u003eParticipants (N\u0026thinsp;=\u0026thinsp;1,004,385)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eControl group\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;883,019)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eJaundice group\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;121,366)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSex \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBoy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e439,812 (49.81%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e67,927 (55.97%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGirl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e443,207 (50.19%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e53,439 (44.03%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBirth weight \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge; 2.5kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e856,120 (96.95%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e101,426 (83.57%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt; 2.5kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e26,899 (3.05%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e19,940 (16.43%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrematurity \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e27,186 (3.08%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24,924 (20.54%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePast history of care in the NICU \u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14,684 (1.66%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e29,572 (24.37%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChromosomal abnormalities \u003csup\u003eb, c\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2,045 (0.23%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e631 (0.52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCongenital malformations \u003csup\u003eb, d\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e179,628 (20.34%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e34,539 (28.46%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegion at birth \u003csup\u003eb, e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeoul, or metropolitan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e390,066 (44.17%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e51,156 (42.15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCity, or rural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e485,368 (54.97%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e69,304 (57.10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFamilial income quantiles \u003csup\u003eb, f\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow (\u0026lt;\u0026thinsp;25 percentile)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e212,718 (24.09%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e29,208 (24.07%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntermediate (\u0026ge;\u0026thinsp;25, \u0026lt; 75 percentile)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e425,529 (48.19%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e58,424 (48.14%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh (\u0026gt;\u0026thinsp;75 percentile)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e212,749 (24.09%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e29,208 (24.07%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCalender years at birth \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2009\u0026ndash;2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e285,623 (32.53%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e37,839 (31.18%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2012\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e597,396 (67.65%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e83,527 (68.82%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInfant feeding type \u003csup\u003ea, g\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExclusive breast feeding\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e333,198 (37.73%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e42,215 (34.78%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMixed feeding\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e366,981 (41.56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e54,863 (45.20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eArtificial milk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e182,840 (20.71%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24,288 (20.01%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge of neurodevelopmental status in NHSPIC\u003c/p\u003e \u003cp\u003e(mean;month, SD) \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e63.334 (51.639)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e69.434 (2.061)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eAbbreviations, n, number; SD, standard deviation; NHSPIC, National Health Screening Program for Infants and Children; NICU, neonate intensive care unit.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003ea\u003c/sup\u003e Obtained from the NHSPIC.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003eb\u003c/sup\u003e Obtained from the National Health Insurance Service (NHIS).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003ec\u003c/sup\u003e The medical histories of chromosomal abnormalities were obtained in data of the NHIS as ICD-10 code of Q90-Q99.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003ed\u003c/sup\u003e The medical histories of congenital malformations were obtained in data of the NHIS as ICD-10 code of Q00-Q89.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003ee\u003c/sup\u003e Missing data: control group\u0026thinsp;=\u0026thinsp;7,585 (0.86%), jaundice group\u0026thinsp;=\u0026thinsp;906 (0.75%).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003ef\u003c/sup\u003e Economic status was determined by the amount of insurance copayment, which directly reflects family income, missing data: control group\u0026thinsp;=\u0026thinsp;32,023 (3.63%), jaundice group\u0026thinsp;=\u0026thinsp;4,526 (3.73%).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003csup\u003eg\u003c/sup\u003e Missing data : control group\u0026thinsp;=\u0026thinsp;0 (0.0%), jaundice group\u0026thinsp;=\u0026thinsp;0 (0.0%).\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Neurodevelopment and neonatal jaundice\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e presents the association between neonatal jaundice requiring phototherapy and the abnormal K-DST results in the neurodevelopmental screening at 66\u0026ndash;71 months of age. We identified that exposed cohort was significantly associated with abnormal neurodevelopmental screening results in the domains of gross motor (adjusted odd ratio [aOR] 1.087, 95% confidential interval [CI] 1.049\u0026ndash;1.127, P\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), cognition (aOR 1.045, 95% CI 1.013\u0026ndash;1.077, P\u0026thinsp;=\u0026thinsp;0.0052), and language (aOR 1.049, 95% CI 1.013\u0026ndash;1.086, P\u0026thinsp;=\u0026thinsp;0.0072). However, no significant associations were observed between neonatal jaundice and abnormal results in the overall assessment, fine motor, social skills, or self-help domains.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAssociations between neonatal jaundice requiring phototherapy and the abnormal K-DST results \u003csup\u003ea\u003c/sup\u003e in the neurodevelopmental screening \u003csup\u003eb\u003c/sup\u003e at 66 to 71 months of age.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"11\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDomains of developmental screening\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eControl group, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eJaundice group, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003ecOR\u003c/p\u003e \u003cp\u003e(estimate, 95% CI) \u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eaOR \u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e(estimate, 95% CI)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOverall assessment\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14,865/883,019 (1.68%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2,822/121,366 (2.33%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.390 (1.335\u0026ndash;1.448)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.046 (0.997\u0026ndash;1.098)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.0635\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGross motor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27,761/757,626 (3.66%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4,780/104,010 (4.60%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.267 (1.228\u0026ndash;1.307)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.087 (1.049\u0026ndash;1.127)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFine motor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27,623/757,626 (3.65%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4,675/104,008 (4.49%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.244 (1.205\u0026ndash;1.284)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.003 (0.967\u0026ndash;1.040)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.8743\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCognition\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e40,471/757,638 (5.34%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e6,595/104,014 (6.34%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.200 (1.168\u0026ndash;1.232)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.045 (1.013\u0026ndash;1.077)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.0052\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLanguage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30,408/757,709 (4.01%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5,175/104,022 (4.97%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.252 (1.215\u0026ndash;1.291)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.049 (1.013\u0026ndash;1.086)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.0072\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSocial skills\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26,595/757,707 (3.51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4,313/104,019 (4.15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.160 (1.123-1.200)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.009 (0.972\u0026ndash;1.048)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.6286\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSelf-help\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31,029/757,715 (4.10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4,984/104,019 (4.79%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.179 (1.143\u0026ndash;1.215)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.016 (0.981\u0026ndash;1.052)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.3728\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003eAbbreviations, n, number; K-DST, Korean developmental screening test; cOR, crude odd ratio; aOR, adjusted odd ratio; CI, confidence interval.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003e\u003csup\u003ea\u003c/sup\u003e The neurodevelopmental screening results were categorized into advanced development, age appropriate, follow-up requests, and further evaluation recommendation. Follow-up requests, and further evaluation were considered abnormal.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003e\u003csup\u003eb\u003c/sup\u003e Acquired from the Korean developmental screening test of the National Health Screening Program for Infants and Children, which is conducted between 66 and 71 months.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003e\u003csup\u003ec\u003c/sup\u003e Adjusted by sex, birth weight, prematurity, past history of care in the neonatal intensive care units, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003e\u003csup\u003e*\u003c/sup\u003e indicated P\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Neurodevelopment and neonatal jaundice, stratified by phototherapy duration\u003c/h2\u003e \u003cp\u003eThe median phototherapy duration in the neonatal jaundice group was 3 days (standardized deviation [SD] 2.411), and the first and third quartiles of phototherapy duration were 2, and 4 days, respectively (\u003cb\u003eSupplementary eTable 1\u003c/b\u003e). The association between neonatal jaundice and abnormal K-DST results in the NHISC at 66 to 71 months of age, stratified by phototherapy duration, was illustrated in the forest plot presented in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, with additional data available in \u003cb\u003eSupplementary eTable 5\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e\u003cimg 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width=\"695\" height=\"808\"\u003e\u003c/p\u003e\u003cp\u003eNotably, neonates in the fourth quartile (\u0026ge;\u0026thinsp;75th percentile) for phototherapy duration (\u0026ge;\u0026thinsp;5 days) was found to be significantly associated with abnormal neurodevelopmental screening results in the overall assessment (aOR 1.145, 95% CI 1.056\u0026ndash;1.241, P\u0026thinsp;=\u0026thinsp;0.0037), as well as in the gross motor (aOR 1.153, 95% CI 1.082\u0026ndash;1.229, P\u0026thinsp;=\u0026thinsp;0.0026), fine motor (aOR 1.081, 95% CI 1.014\u0026ndash;1.152, P\u0026thinsp;=\u0026thinsp;0.0061), cognition (aOR 1.099, 95% CI 1.040\u0026ndash;1.161, P\u0026thinsp;=\u0026thinsp;0.0084), and language domains (aOR 1.125, 95% CI 1.059\u0026ndash;1.195, P\u0026thinsp;=\u0026thinsp;0.0014). However, no significant associations were observed between neonatal jaundice with phototherapy duration in the first to third quartiles and abnormal results in any neurodevelopmental screening domains.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Factors associated with neurodevelopment and neonatal jaundice\u003c/h2\u003e \u003cp\u003eFactors associated with neonatal jaundice and the abnormal results in the overall assessment of the neurodevelopmental screening at 66 to 71 months of age were analyzed according to the phototherapy duration (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Low birth weight (\u0026lt;\u0026thinsp;2.5kg) was identified as a significant covariate associated between jaundice neonates in both the interquartile range (\u0026ge;\u0026thinsp;25th percentile, \u0026lt; 75th percentile) and highest quartile (\u0026ge;\u0026thinsp;75th percentile) of phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. Prematurity, and a history of care in the NICU, chromosomal abnormalities, or congenital malformations were also associated covariates between jaundice neonates in the all quartiles for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. Furthermore, familial income quntile was a significant associated covariate between the neonates in the highest quartile (\u0026ge;\u0026thinsp;75th percentile) for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment. However, covariates, such as region at birth, calender year at birth, and infant feeding type were not significantly associated between neonatal jaundice in the all quartiles for phototherapy duration and abnormal neurodevelopmental screening results in the overall assessment.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFactors associated with neonatal jaundice and the abnormal results\u003csup\u003ea\u003c/sup\u003e in the overall assessment domain of the neurodevelopmental screening\u003csup\u003eb\u003c/sup\u003e at 66 to 71 months of age according to the phototherapy duration.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"12\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCharacterisctics\u003c/p\u003e \u003cp\u003e/Phototherapy duration\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eControl group,\u003c/p\u003e \u003cp\u003e\u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eprevalance\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eJaundice group,\u003c/p\u003e \u003cp\u003e\u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eprevalance\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eEstimate\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eaOR \u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e(estimate, 95% CI) \u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal participants\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14,865/883,019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2822/121366\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSex \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBoy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9,566/439,812\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGirl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5,299/443,207\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBoy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e480/18,856\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.025\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-1.9994\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.972 (0.879\u0026ndash;1.074)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0265\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGirl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e269/15,827\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.6728\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.129 (0.990\u0026ndash;1.289)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBoy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e819/31,511\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-1.9883\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.006 (0.929\u0026ndash;1.089)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.6136\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGirl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e360/25,044\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.7211\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.930 (0.826\u0026ndash;1.048)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBoy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e629/17,560\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.036\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-1.9583\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.136 (1.025\u0026ndash;1.260)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.8157\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGirl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e265/12,568\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.6961\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.051 (0.901\u0026ndash;1.228)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow birth weight \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e792/26,899\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.029\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14,073/856,120\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e137/4,198\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1734\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.930 (0.756\u0026ndash;1.143)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0568\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e612/30,485\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4741\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.042 (0.956\u0026ndash;1.136)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e206/6,843\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.030\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2091\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.833 (0.696\u0026ndash;0.996)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0026\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e973/49,712\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4614\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.007 (0.939\u0026ndash;1.081)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e340/8,899\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.038\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.976 (0.816\u0026ndash;1.167)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;2.5 kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e554/21,229\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3992\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.181 (1.072-1.300)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrematurity \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14,135/855,793\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e730/27,186\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.027\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e607/29,641\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3269\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.060 (0.972\u0026ndash;1.156)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0110\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e142/5,040\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.028\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3115\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.870 (0.711\u0026ndash;1.064)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e921/47,527\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3386\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.010 (0.940\u0026ndash;1.085)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0157\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e258/9,027\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.029\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3172\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.851 (0.723\u0026ndash;1.001)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e512/19,271\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.027\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2302\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.232 (1.116\u0026ndash;1.358)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e382/10,857\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.035\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3596\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.903 (0.765\u0026ndash;1.066)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePast history of care in the NICU, Chromosomal abnormalities \u003csup\u003ed\u003c/sup\u003e, or Congenital malformations \u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14,359/868,335\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e506/14,684\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.034\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e561/28,700\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.5039\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.063 (0.974\u0026ndash;1.161)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0361\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e188/5,983\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.031\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2041\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.912 (.0760-1.094)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e845/453,668\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.5060\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.014 (0.954\u0026ndash;1.090)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0296\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e334/11,187\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.030\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1926\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.891 (0.767\u0026ndash;1.035)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e406/17,723\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4463\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.179 (1.062\u0026ndash;1.309)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0212\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e488/12,402\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.039\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1761\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.079 (0.320\u0026ndash;1.250)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegion at birth \u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSeoul, metropolitan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6,166/390,066\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCity, rural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8,524/485,368\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSeoul, metropolitan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e289/14,300\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4115\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.009 (0.889\u0026ndash;1.144)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.9856\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCity, rural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e447/20,132\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3437\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.028 (0.927\u0026ndash;1.139)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSeoul, metropolitan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e482/24,113\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3773\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.009 (0.912\u0026ndash;1.117)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.3389\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCity, rural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e686/32,024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3718\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.962 (0.882\u0026ndash;1.049)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSeoul, metropolitan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e372/12,743\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.029\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3807\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.091 (0.953\u0026ndash;1.248)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.5964\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCity, rural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e512/17,148\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.030\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.3255\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.120 (1.002\u0026ndash;1.251)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFamilial income quantile \u003csup\u003eb, f\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow (\u0026lt;\u0026thinsp;25P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4,587/212,718\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh (\u0026ge;\u0026thinsp;75P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3,111/212,749\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow (\u0026lt;\u0026thinsp;25P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e195/7,584\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1182\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.934 (0.800-1.091)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.4481\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh (\u0026ge;\u0026thinsp;75P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e180/9,320\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4973\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.063 (0.905\u0026ndash;1.247)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow (\u0026lt;\u0026thinsp;25P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e327/13,842\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1347\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.869 (0.768\u0026ndash;0.983)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0577\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh (\u0026ge;\u0026thinsp;75P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e253/13,290\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4799\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.013 (0.880\u0026ndash;1.167)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow (\u0026lt;\u0026thinsp;25P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e254/7,782\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1189\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.925 (0.789\u0026ndash;1.084)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.0307\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh (\u0026ge;\u0026thinsp;75P)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e171/6,598\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4759\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.077 (0.889\u0026ndash;1.303)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCalender year at birth \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2009\u0026ndash;2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3,806/285,623\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2012\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11,059/597,396\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2009\u0026ndash;2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e144/9,207\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4978\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.930 (0.754\u0026ndash;1.083)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.3964\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2012\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e605/25,476\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1751\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.056 (0.966\u0026ndash;1.154)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2009\u0026ndash;2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e270/18,064\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4619\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.844 (0.735\u0026ndash;0.968)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.1360\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2012\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e909/38,491\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1885\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.027 (0.953\u0026ndash;1.107)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2009\u0026ndash;2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e245/10,568\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.4742\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.026 (0.868\u0026ndash;1.212)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.9079\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2012\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e649/19,560\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.1560\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.132 (1.024\u0026ndash;1.251)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInfant feeding type \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExclusive breast\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4,451/333,198\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMixed, artificial milk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10,414/549,821\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;25P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExclusive breast\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e194/11,839\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.5165\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.005 (0.860\u0026ndash;1.173)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.9513\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMixed, artificial milk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e555/22,844\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2450\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.026 (0.935\u0026ndash;1.126)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25P to 75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExclusive breast\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e315/20,467\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.5323\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.954 (0.842\u0026ndash;1.082)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.5398\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMixed, artificial milk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e864/36,088\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2484\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.992 (0.910\u0026ndash;1.072)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;75P\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExclusive breast\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e205/9,909\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.5104\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.085 (0.917\u0026ndash;1.284)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.9301\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMixed, artificial milk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e689/20,219\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.034\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-2.2211\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e1.113 (1.007\u0026ndash;1.229)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003eAbbreviations, n, number; SD, standard deviation; NHSPIC, National Health Screening Program for Infants and Children; P, percentile; NICU, neonate intensive care unit.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003ea\u003c/sup\u003e Obtained from the NHSPIC.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003eb\u003c/sup\u003e Obtained from the National Health Insurance Service (NHIS).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003ec\u003c/sup\u003e aOR was adjusted by sex, birth weight, prematurity, past history of care in the neonatal intensive care units, chromosomal abnormalities, congenital malformations, region at birth, familial income quantiles, calender years at birth, and infant feeding type.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003ed\u003c/sup\u003e The medical histories of chromosomal abnormalities were obtained in data of the NHIS as ICD-10 code of Q90-Q99.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003ee\u003c/sup\u003e The medical histories of congenital malformations were obtained in data of the NHIS as ICD-10 code of Q00-Q89.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003ef\u003c/sup\u003e Economic status was determined by the amount of insurance copayment, which directly reflects family income, missing data: control group\u0026thinsp;=\u0026thinsp;32,023 (3.63%), jaundice group\u0026thinsp;=\u0026thinsp;4,526 (3.73%).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003e\u003csup\u003e*\u003c/sup\u003e indicated P \u0026lt;\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis administrative cohort study aimed to investigate the connection between neonatal jaundice requiring phototherapy and the subsequent neurodevelopmental outcomes at 6 years of age linked to changes in the gut microbiome. Neonatal jaundice is common issue in the first week of life, which can be a physiologic phenomenon or a sign of a pathological disease.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e However, concerns have been raised regarding its potential negative effects on public health issues and the neurodevelopmental outcomes in children. Our findings indicate that the neonatal jaundice requiring phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the domains of gross motor, cognition, and language. Additionally, jaundice neonates requiring more longer duration of phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the overall assessment, as well as in the gross motor, fine motor, cognition, and language domains. These insights offer a nuanced understanding of the impact of neonatal jaundice on subsequent neurodevelopmental outcomes; this is to ensure that physicians need to more careful diagnose of jaundice occurring in the neonatal period, and to observe more judiciously for the possibility of abnormal neurodevelopmental outcomes related to neonatal jaundice.\u003c/p\u003e \u003cp\u003eThe majority of unconjugated bilirubin is immediately bound to protein, mainly albumin, but a fraction of unconjugated bilirubin may remain free. The great concern regarding significant neonatal jaundice is bilirubin-associated neurotoxicity caused by the spreading of unconjugated bilirubin across the immature blood\u0026ndash;brain barrier.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e Bilirubin has a specific predilection for certain areas of the brain, including various cranial nerve nuclei\u0026mdash;particularly the cochlear, vestibular, and oculomotor; several brainstem nuclei, especially the reticular formation of the pons; the inferior olivary nuclei; the cerebellar nuclei\u0026mdash;particularly the dentate nucleus; the basal ganglia, specifically the globus pallidus and subthalamus; the hippocampus, especially sectors of CA2 and CA3; the substantia nigra; and the cerebellar vermis.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e Recent reports on the effects of early bilirubin exposure on developing neurons in cell culture indicate a spectrum of bilirubin-induced neurologic dysfunction, including neuritic atrophy, cell death, decreased neuronal arborization, arrested neuritic growth, and neuritic hypoplasia.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e These finding suggests that neurodevelopmental maturation, particularly in premature infants, may be affected by ability of bilirubin to alter neurogenesis, neuritogenesis, and synaptogenesis.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eGut microbiota plays a crucial role in enterohepatic circulation, which is essential for bilirubin secretion.\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e Neonates with jaundice often exhibit gut dysbiosis, characterized by a reduced abundance of \u003cem\u003eBifidobacteriales\u003c/em\u003e. This microbiota may help prevent jaundice suppressing beta-glucuronidase, which accelerates the deconjugation of conjugated bilirubin in the intestine.\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e The gut microbiota interacts bidirectionally with various body systems, forming several systemic axes, such as the brain-gut, liver-gut, skin-gut, kidney-gut, and lung-gut axes.\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e Dysbiosis has been significantly associated with neurodevelopment, behavioral abnormalities, as well as various neuropsychiatric disorders, including ASD and epilepsy. Additionally, dysbiosis is known to be linked to gastrointestinal diseases (e.g. infantile colic, functional constipation, and irritable bowel disease), and allergic conditions (e.g, atopic dermatitis, bronchial asthma, and food allergies).\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eGrowing evidence suggests that neurological dysfunctions can rise from hyperbilirubinemia and may be underestimated by medical clinicians, highlighting the need for increased attention to infants with mild degrees of hyperbilirubinemia.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e Our study showed that that neonatal jaundice was significantly associated with neurodevelopmental abnormalities in the domains of gross motor, cognition, and language, with additional associations in the fine motor and cognition domains for jaundice neonates requiring more longer duration of phototherapy. A nationwide population-based cohort study in Taiwan found that significant neonatal jaundice may be a potential risk factor for the accumulative incidence of long-term neurodevelopmental sequelae.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e This study indicated that affected patients had a 1.5- to 3-fold increased risk of nine specific neurodevelopmental sequelae compared to the reference cohort.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e These conditions included developmental delay, mental retardation, infantile cerebral palsy, abnormal physiological development in childhood, developmental speech or language disorders, dysarthria, hearing loss, ADHD, and ASD.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e Moreover, the subgroup that received intensive phototherapy exhibited an higher risks for most long-term sequelae, with exception of mental retardation.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eMeanwhile, several researchers have investigated the association between peak serum bilirubin levels in neonatal jaundice and neurodevelopmental outcomes later in life. A retrospective study conducted in India found that the incidence of an abnormal developmental quiotient gradually increased with rising peak serum bilirubin.\u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e In their cohort, key predictors of abnormal development include peak serum bilirubin level of \u0026ge;\u0026thinsp;22 mg/dl.\u003csup\u003e25\u003c/sup\u003e A European prospective study investigated whether moderate hyperbilirubinemia in healthy term neonates is associated with an increase of minor neurological dysfunction and behavioral problems up to 18 months of age. The study found that moderate hyperbilirubinemia (22\u0026ndash;30 mg/dl) did not increase the incidence of minor neurologic dysfunction within this period. However, serum bilirubin levels of \u0026ge;\u0026thinsp;30 mg/dl were significantly associated with a higher risk of complex minor neurological dysfunction.\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eHearing is crucial for language development, and evidence suggests that auditory dysfunction or sensory deprivation during development periods can affect latter language acquisition.\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e We observed a significant association between neonates with jaundice requiring phototherapy and abnormal findings in the language domain. It is necessary to consider the impact of neonatal jaundice on auditory dysfunction in children with language developmental abnormalities. Children with hearing loss or auditory neuropathy may face language issues depending on the timing, severity, and duration of auditory dysfunction.\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e The auditory system is particularly vulnerable to bilirubin-induced toxicity, and studies have shown an association between hyperbilirubinemia and sensorineural hearing loss or auditory neuropathy in neonates. \u003csup\u003e5, 20, 31\u003c/sup\u003e Additionally, reversible auditory dysfunction at both peripheral and brainstem levels has been reported due to indirect hyperbilirubinemia, a common condition in the first postnatal week.\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u003c/sup\u003e The extent of bilirubin-induced auditory toxicity can be influenced by the degree and duration of hyperbilirubinemia.\u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e A recent population-based cohort study found that neonatal jaundice significantly increased the risk of long-term sequelae, including hearing loss, developmental speech disorders, and dysarthria.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e Further studies are needed to investigate the association between neonatal jaundice requiring phototherapy and the subsequent diagnosis of various language disorders in children.\u003c/p\u003e \u003cp\u003eThe K-DST was developed through the NHSPIC, and plays a crucial role as the primary infrastructure supporting the healthy growth of infants and children by tracking and managing their growth and development in Korea. The key objective of K-DST is to screen for the early detection of neurodevelopmental and psychiatric disorders, facilitating timely referrals to specialists for further evaluation. Recently, public interest in pediatric psychiatric disorders has been growing, along with an increasing number of studies exploring the link between neonatal jaundice and psychiatric conditions in children, such as ASD, and ADHD.\u003c/p\u003e \u003cp\u003eASD is a lifelong neurodevelopmental disorder, and its high prevalence suggests that perinatal and postnatal factor during the neonatal period may contribute to this risk.\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e ASD is often associated with cerebellar hypoplasia, which may result from cerebellar injury due to exposure to etiological agents.\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e\u003c/sup\u003e Given the cerebellum\u0026rsquo;s interactions with the cerebrum and sensory cortices, cerebellar injury could play a key role in the abnormal brain development seen in ASD.\u003csup\u003e\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u003c/sup\u003e A Danish case\u0026ndash;control study found nearly a four-fold increased risk of infantile autism with postnatal.\u003csup\u003e\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u003c/sup\u003e Another retrospective study revealed a significant association between neonatal jaundice and ASD.\u003csup\u003e\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u003c/sup\u003e However, a large case-control study in Northern California found no association between neonatal hyperbilirubinemia and ASD among singleton term infants, suggesting that hyperbilirubinemia may not be a risk factor of ASD.\u003csup\u003e\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e Additionally, a twin study in the United States found that neonatal jaundice was associated with an increased risk for ASD only in females, not in males.\u003csup\u003e\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eMeanwhile, ADHD is a common neurodevelopmental with a prevalence of at least 5%, and it is linked to various functional impairments such as school dysfunction, peer issues, family conflicts, poor occupational performance, injuries, anti-social behavior and traffic accidents.\u003csup\u003e\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u003c/sup\u003e Given that ADHD has early onset and neonatal jaundice could potentially impact ADHD by affecting the basal ganglia, research into their association has produced mixed results.\u003csup\u003e\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u003c/sup\u003e A large U.S. patient register study found no significant link between neonatal jaundice and ADHD.\u003csup\u003e\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u003c/sup\u003e Conversely, a population-based study indicated an increased risk of ADHD with severe hyperbilirubinemia, but not with mild hyperbilirubinemia.\u003csup\u003e\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e\u003c/sup\u003e A Taiwanese cohort study reported a higher risk of ADHD in the neonatal jaundice group.\u003csup\u003e\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e\u003c/sup\u003e Similarly, a large Swedish cohort study found a higher risk of ADHD associated with neonatal jaundice at a population level, though no independent association was observed in sibling comparisons.\u003csup\u003e\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e\u003c/sup\u003e Further studies are needed to investigate the association between neonatal jaundice and the subsequent diagnosis of various psychiatric diseases in children.\u003c/p\u003e \u003cp\u003eOur research utilized a large sample population, incorporating data from the national health insurance system, which covers the majority of the country's population, and government-led pediatric neurodevelopmental screening tests. We aimed to assess the connections between neonatal jaundice requiring phototherapy and neurodevelopment in later life, consisted of six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the standardized Korean Developmental Screening Test (K-DST) at the age of six. Large-scale national data were used, controlling for various confounding factors that could influence neurodevelopment in childhood, such as sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, familial income levels, and infant feeding types.\u003c/p\u003e \u003cp\u003eHowever, this study has several limitations. First, due to the nature of our data, unmeasured variables may have influenced our results, so caution is warranted when interpreting these findings. Second, the use of diagnostic codes from health insurance claims to identify childhood diseases may have led to overestimation or underestimation of diagnoses. The childhood diseases defined in this study may have gaps with the actual diagnoses that rely on symptoms and tests in real clinics. Therefore, the results should be interpreted with caution. Third, neonatal jaundice can result from various causes, including incompatibility of maternal-fetal blood type, breastfeeding-related, bacterial sepsis, infectious meningitis, congenital biliary atresia, and idiopathic origins. However, our study did not account for or subdivided the different mechanisms of neonatal jaundice that may influence neurodevelopmental outcomes later in life. Fourth, we defined more severe neonatal jaundice based on a longer duration of phototherapy. However, in clinical practice, the severity of jaundice is often assessed by the peak serum bilirubin level. Due to limitations in our study national health insurance database, we were unable to include peak serum bilirubin levels in our analysis. Lastly, in cases of severe neonatal jaundice that occurs within the first few days of life, such as neonatal jaundice cause by Rh incompatibility, exchange transfusion may be considered, and this treatment can affect the duration of phototherapy.\u003c/p\u003e \u003cp\u003eIn conclusion, this administrative cohort study indicate that the neonatal jaundice requiring phototherapy was significantly associated with abnormal neurodevelopmental outcomes in the domains of gross motor, cognition, and language potentially linked to changes in the gut microbiome. Our findings provide physicians with a nuanced understanding of the impact of neonatal jaundice and neurodevelopment in children. This highlights the need for careful diagnosis of jaundice during the neonatal period and vigilant observation for potential related neurodevelopmental outcomes. Further research is necessary to explore the potential links between neonatal jaundice and various neurodevelopmental and psychiatric conditions in children.\u003c/p\u003e "},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding/Support\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThis work was supported by a grant\u003c/em\u003e\u003cem\u003e\u0026nbsp;from\u0026nbsp;\u003c/em\u003eKorea Health Technology R\u0026amp;D (HR22C1605030022).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRole of the Funder/Sponsor\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAccess to Data statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMan Yong Han had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWon Seok Lee, Ji Hee Kwak and Man Yong Han conceived the idea. Man Yong Han and Boeun Han analyzed the data. Won Seok Lee and Sun Kyung Lee wrote the manuscript with inputs from the authors.\u0026nbsp;Ju Hee Kim, Jeewon Shin, Boeun Han, Eun Kyo Ha, Eun Lee, Ji Hee Kwak,\u0026nbsp;and Sun Kyung Lee investigated and supervised this study. All authors discussed the results and contributed to the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInstitutional Review Board Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted in accordance with the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of the Korea National Institute for Bioethics Policy (P01-201603-21-005).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInformed Consent Statements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe waiver of informed consent from participants and all data from the Korean National Health Insurance Service (NHIS) and National Health Screening Program for Infants and Children (NHSPIC) were anonymized.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was based on the National Health Claims Database (NHIS-2019-1-560), established by the NHIS of the Republic of Korea. Applications using NHIS data were reviewed by the Inquiry Committee of Research Support. If an application is approved, raw data are provided to the applicant for a fee. We cannot provide access to the data, analytical methods, or research materials to other researchers because the intellectual property rights of this database are owned by the National Health Insurance Corporation. However, investigators who wish to reproduce our results or replicate the procedure can be included in the database, which is open for research purposes (https://nhiss.nhis.or.kr/).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that this study was conducted in the absence of any commercial or financial relationships that could be interpreted as potential conflicts of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eUllah S, Rahman K, Hedayati M. 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Neonatal jaundice, attention deficit hyperactivity disorder and familial effects: A Swedish register study with sibling analysis. Acta Paediatr Feb. 2021;110(2):473\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/apa.15475\u003c/span\u003e\u003cspan address=\"10.1111/apa.15475\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Neonatal jaundice, Phototherapy, Children, Neurodevelopment","lastPublishedDoi":"10.21203/rs.3.rs-9238959/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9238959/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eElevated serum bilirubin in neonates may serve as an early indicator of later neurodevelopment and influence gut microbiota composition after birth. This study examined the connection between neonatal jaundice requiring phototherapy and later neurodevelopment.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis retrospective population-based cohort included 3,203,983 children born in Korea from 2009 to 2015, tracked from birth until December 2021 in Korea. Neurodevelopmental outcomes at age six were assessed using national child health screening data. Analyses controlled for confounders including sex, birth weight, prematurity, chromosomal abnormalities, congenital malformations, income, and infant feeding type. Neurodevelopmental outcomes were evaluated in six domains (gross motor, fine motor, cognition, language, social skills, and self-help) using the Korean Developmental Screening Test (K-DST). Effect of phototherapy duration on each domain was also examined.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eA total of 1,004,385 neonates were included, of whom 121,366 (56.0% male) received phototherapy. Neonatal jaundice requiring phototherapy was significantly associated with abnormal outcomes in gross motor (adjusted odds ratio [aOR] 1.087, 95% CI 1.049\u0026ndash;1.127, P \u0026lt; .0001), cognition (aOR 1.045, 95% CI 1.013\u0026ndash;1.077, P = .0052), and language (aOR 1.049, 95% CI 1.013\u0026ndash;1.086, P = .0072). Longer phototherapy duration (\u0026ge;\u0026thinsp;5 days) was associated with abnormal outcomes in overall assessment and gross motor, fine motor, cognition, and language domains.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eNeonatal jaundice requiring phototherapy was associated with higher risk of abnormal neurodevelopment at age six, particularly in gross motor, cognition, and language domains. Prolonged phototherapy was also linked to adverse outcomes.\u003c/p\u003e","manuscriptTitle":"The connection between neonatal jaundice and neurodevelopment later in life: a national birth cohort study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-23 16:26:47","doi":"10.21203/rs.3.rs-9238959/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-05-18T05:16:56+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-17T04:38:06+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-14T02:30:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"257236772146250893192087583223659390996","date":"2026-05-05T01:07:50+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"138330543675640682411345040244514927489","date":"2026-05-04T04:54:05+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-04-16T01:30:19+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-03-31T18:09:39+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-03-31T12:42:17+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-31T12:41:46+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Public Health","date":"2026-03-27T01:50:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"54bb1be1-9d49-4efb-b3a0-66cee6e57313","owner":[],"postedDate":"April 23rd, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Revision requested","date":"2026-05-18T05:16:56+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-17T04:38:06+00:00","index":58,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-14T02:30:25+00:00","index":57,"fulltext":""},{"type":"reviewerAgreed","content":"257236772146250893192087583223659390996","date":"2026-05-05T01:07:50+00:00","index":52,"fulltext":""},{"type":"reviewerAgreed","content":"138330543675640682411345040244514927489","date":"2026-05-04T04:54:05+00:00","index":50,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[],"tags":[],"updatedAt":"2026-05-18T05:24:06+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-23 16:26:47","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9238959","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9238959","identity":"rs-9238959","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}