Preconception care utilization and associated factors among low-income household mother in Sidama region, Ethiopia: cross-sectional study design

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Despite its critical impact on health outcomes, there is a little evidence concerning the prevalence and determinants of service utilization within the Sidama region. Thus, this study aimed to assess the prevalence of preconception care utilization and its associated factors among low-income household mother in Sidama, Ethiopia, in 2025. Methods: An institutional based cross-sectional study design was conducted among 406 participants by using systematic random sampling technique. Data were collected using koobotool box, and exported to SPSS Version 25 for analysis. Binary logistic was employed to identify candidate variable (P-value≤ 0.25) for a multivariable logistic regression. A variable with P-value <0.05 in multivariable logistic regressions at 95% confidence interval was declared as having significant associations. Result: The study revealed that the prevalence of preconception care utilization among low-income household mother was 41.2 %( 95%CI: 34.5-46.1). The overall proper knowledge and attitude of professional ethics was 36.4%, 58.8% respectively. Level of education college and above (AOR= 5.08; 95%CI: 2.47 -12.07) and prim-gravid (AOR: 2.1; 95%1.3 to 5.9) were factors significantly associated with pre conception care utilization of mothers. Conclusion: This study revealed that the prevalence of preconception care utilization among low-income urban mothers was low. The level of education, college and above and being prim-gravidwere factors significantly associated with preconception care utilization. Thus, health promotion for low-income urban mothers on preconception care should be given by health care providers to increase proportion of service utilization. Nursing Low-income household mother Preconception care utilization Sidama Ethiopia Figures Figure 1 Figure 2 Figure 3 INTRODUCTION 1.1. Background Preconception care (PCC) is a comprehensive set of medical, behavioural, and social interventions designed to identify and manage health risks for individuals or couples before conception. Its primary goal is to optimize the health of the prospective parents to improve pregnancy outcomes and ensure the wellbeing of the future child (1, 2) . Preconception care (PCC) serves as a vital preventive healthcare strategy implemented before a couple conceives (3). Beyond its clinical benefits, PCC is highly cost-effective, significantly reducing the risk of adverse pregnancy outcomes particularly for individuals managing chronic medical disorders. Globally, approximately 287,000 women die annually from pregnancy and childbirth-related complications (4). Sub-Saharan Africa remains the most affected region, accounting for roughly 70% of all maternal deaths worldwide(5).When figures from sub-Saharan Africa are combined with those from Southern Asia, these two regions represent 87% of the global maternal mortality burden(6). In developing countries, maternal and neonatal mortality continues to be a critical public health challenge, rooted in systemic inequities and inadequate access to care(7). To improve maternal outcomes and significantly reduce the maternal mortality ratio (MMR), the implementation of preconception care is essential as a primary preventive strategy(8). The Sustainable Development Goal (SDG) number three aims to reduce the global ratio of maternal mortality to less than 70 per 100,000 live births and new born death to 12 per 1000 live births by the year 2030 (9). PCC has a positive impact on reducing mortality and reduces the risk of adverse health outcomes for the woman, foetus and before scheduling and conceiving a pregnancy (10). Even though governments, policy planners, and stakeholders are given a priority agenda for maternal and child health care services, the reduction of maternal and neonatal morbidity and mortality is not closely the target goal(11). Preconception health care has not become part of routine practice across the globe, especially in developing countries. However, in this region, there is higher maternal, and child death. Of which 77% of maternal, new-born, child death and stillbirth could be prevented by building a platform at the community, health centre, and hospital to implement essential packages such as nutritional optimization, preventing and treating infections, provision of family planning, screening and managing chronic medical diseases, substance abuse and lifestyle modifications(12) . In Ethiopia, the maternal mortality ratio was 412 maternal deaths per 100,000 live births, while under-five children’s, infants, and neonatal mortality rates were 67, 45 and 29 per 1000 live births, respectively (9).More than 90% or more of maternal and child mortality remains concentrated in South Asia and Sub-Saharan Africa, countries that simply lack the resources to deliver existing, effective interventions that could prevent many of these deaths (13). Thus, moving towards preconception care offers the potential for earlier risk assessment and intervention that can benefit the woman or couple even before pregnancy and ensure the healthiest possible start for the new-born child(9). According to some studies conducted in Ethiopia shows that the magnitude of preconception care utilization was 18.2% and 40% (14) Du e to inadequacy of preconception care in some pregnancies may result in adverse health effects for women ,fetus or neonate(15) . Major contributors to Sub-Saharan Africa's high rates of maternal death high rates are child marriage and unwanted births, in addition to a lack of timely access to high-quality medical care(16). Different studies reported that less than 50% of women supplement their diet with foliate during the preconception period (13), even though, there is strong evidence that foliate supplementation reduces the risk of neural tube defects (NTDs) (16). Only 53% of women who had heard of foliate reported doing so from care providers. Each year in the United States, approximately 6 million pregnancies result in over 4 million live births. Almost half of all pregnancies are unintended, despite the fact that 62% of the 62 million women of reproductive age use a contraceptive method (17). The delivery of PCC is generally achieved in a primary health care setting, but many women find that health care providers rarely discuss the availability of and need for PCC(12). According to study conducted in at sub-Saharan Africa shows that, in sub-Saharan Africa, there is a poor preconception care practice and this is due to low economic status, lack of health care providers, being illiterate and poor awareness about maternal health including preconception care (18). In order for intervention programs to be effective, it is necessary to understand the target populations' knowledge, attitudes, and health behaviors in addition to the intervention's efficacy. Understanding the factors that affect women's propensity to use preconception services or engage in health preconception practices is also crucial for those in charge of preconception programs and treatments(19). Although women with chronic disease prone to develop difficulties, many studies in our nation and in the study region concentrated on knowledge of preconception care among reproductive age women with no medical disorder, despite the fact that preconception care is vitally necessary for these women. However some study conducted related to mother’s utilization of PCC service and associated factors among married women. However, per our knowledge no study has been conducted in the study area specifically in population group represented by mothers with chronic disease. Thus, this study was filled the gap and generate information aimed to assess the prevalence of preconception care utilization and associated factors among low-income household mother. METHODS AND MATERIALS Study area and period The study was conducted in Sidama region public health institutions, Sidama regional state south-central part of Ethiopia. The capital city of Sidama regional state is Hawassa. It is located at a distance of 273 km south of Addis Ababa, the capital city of Ethiopia. Sidama regional state is bordered with Oromia region in the north, northeast, east, southeast, southwest, northwest, and with Southern Nations Nationalities and Peoples Region in the central part. The region has 21 public hospitals (4 general hospitals & 17 primary hospitals), 137 health centers. All of them hospitals provide the services like outpatient and inpatient services, maternal and child health services, Operating services, Laboratory, Pharmacy, Ultrasound, antiretroviral therapy (ART) services for the community. According to projections of the central statistics authority of Ethiopia, Sidama region population is estimated to be 4,623,162 in 2022. Male (2,326,541/50.3%) and female 2,296,621/49.7%)(20) (Fig1) Study Design and Period An institution-based cross-sectional study design was conducted from1-30/October 2025. Source and study population All low-income household mother who come for first antenatal care visit were source of population. All randomly selected low-income urban mothers who come for first antenatal care visit were source of population. All low-income household mother who come for first antenatal visit at selected hospitals during the study period were included in the study, where as mother who were critically ill during the study period was excluded from the study. Study variables Dependent variable was Preconception care Utilization; Socio-demographic variables (age, religion, level of education, occupation, marital status place of residence, distance from health institution, husband education level, and husband occupation). Obstetric history (gravidity, parity, number of children, family planning use, previous bad obstetric history e.g. abortion, still birth, congenital malformation). Knowledge of preconception care (Good knowledge, Poor knowledge), Attitude towards Preconception care (Positive attitude, Negative attitude) were independent variables Operational definitions Preconception care utilization: If women received any interventions either advice or treatment, and lifestyle modification regarding components of preconception care at least once before being pregnant is consider Yes for Preconception care utilization, otherwise No for Preconception care utilization(16) . A low-income household mother is defined as an individual whose total monthly household income falls below the Anker National Living Income Reference Value. For the context of rural Ethiopia (2021), this threshold is established at approximately 7,985 ETB per month (21). Good Knowledge: Those who have scored above or equal to 75% of correct responses to preconception care awareness questions (21). Poor knowledge: Those who have scored less than 75% of correct responses to preconception care awareness questions (22) Women of Reproductive age: Adolescent girls age 15 and older, and women up to age 49 ears. Positive attitude: Those who have scored above or equal to 50% of correct responses to preconception care attitude questions. Negative attitude: Those who have scored less than 50% of correct responses to preconception care awareness questions(22) Sample size d etermination The sample size of this study was calculated by using single population proportion formula using epi info with assumption of: 0.05 margin of error (d), a 95% Confidence Interval (CI), estimated proportion of good utilization of preconception care among pregnant women was 40% (16). The minimum sample size required for the study is determined by using a single population proportion formula as follows: Sampling technique There are One (1 )Specialazide Hospital Five(5) General Hospitals and Seventeen (17) primary hospitals providing PCC in Sidama Regional State .30% of representatives Tula, Daye and Alata-wondo General Hospital. Among six (6) hospitals was selected by considering through a simple random sampling method 1general and 5 primary hospitals. After Selection of 30% of hospitals the study participant then, the sample size was proportionally allocated to each selected hospital based on the number of available study participants. Finally simple random sampling method was used to select study participants from each hospital nj= nfNj/N, Where nj is the sample size for the jth hospital nf= is the final sample size which is 406 Nj= total population for the jth hospital and N= N1+N2+N3+N4+N5+N6=406 The proportion for each health institution was sown as follows (Figure 2) Data collection tools The questionnaire was developed after careful searching of literatures on similar topics conducted earlier (23). Two BSc Midwives and one public health field supervisor was recruited for data collection. Data was collected by using kobo toolbox mobile phone application. The questionnaires have five parts: Sociodemographic characteristics, Obstetric history, knowledge questions, Attitude related questions and Preconception care utilization related questions. Data quality assurance Properly designed data collection tools was utilized to ensure data quality. First, it was prepared in English and then translated to local language (Sidamu Afoo). The 5% of pre-test was performed (20) of the total sample size at two weeks before the data collection period to assess the clarity, sequence, consistency, understand ability, and total time to complete the questionnaire. Later on, any ambiguity, difficult words, and differences in understanding was revised based on pre-test experience. Each questionnaire was coded with a unique identification number. Two days training was given for data collectors and supervisors, regarding data collection procedures, ethical considerations for the participants, dangers of validity of data if there is a protocol breach, and briefed on each question included in the study.The principal investigators was checked and reviewed the collected data daily to ensure the completeness and consistency of the data collected and immediate corrective measures was taken accordingly. Data analysis After ensuring the completeness of the questionnaire; the data was checked, cleaned, coded and entered in to SPSS version 26 software for analysis purpose. Binary and multivariate logistic regressions was employed to identify the relationships between the predictors and the outcome variable and variable with p-value ≤ 0.2 at 95% confidence interval was candidate for a multivariable logistic regression analysis. The association between dependent variable and independent variables were determined by using adjusted odds ratio with 95% confidence interval and p-value <0.05 are considered as significant associations. Multicollinearity was checked to see the linear correlation among the associated independent variables by using variance inflation factor (VIF) and standard error. Variance inflation factor (VIF) of >10 or standard error of >2 was considered as suggestive of the existence of multicollinearity. For that reason, variables with VIF >10 or standard error > 2 was be checked to be dropped from multi-variable analysis. Assumption of multi-collinearity results is VIF0.1 for all independent variable RESULT Socio-demographic characteristics A total of 406 participants were recruited for the study with a response rate of 92.1%. Among the study participant, 38 %( n=143) were between 55 and 49 years old, with a mean age of 29 and SD ±7.26 years. The majority of the respondents were protestant in religion 47.6% followed by Orthodox (26%). Majority of respondents were college and above (33.4%). Nearly three forth of respondents (72%) were government employ. More than one third (38%) of respondent had average monthly income were greater than 2000ETB. Majority of respondents (90%) respondents had mass media to access health related information (TV/radio). 82% had mobile phone to access health related information ( Table1 ). Preconception care utilization According to this study over all prevalence of preconception care utilization among low-income household mother were 41.2 %( 95%CI: 34.5-46.1) (Figure2) Obstetric-related characteristics Majority of (60.2%) of mothers was multigravida. Majority of respondents (89.6%0 were multi-Para. More than one third of respondents (38%) had more than four children. Majority of respondents (87.7%) had history of ANC follow-up for last pregnancy, and nearly three forth 32% (n=121) had previous adverse birth outcome (Table 2). Knowledge level of preconception care The findings of this study showed that, 36.4% ( 136 ) of the participants had good knowledge on preconception care (Figure 3). Attitude towards preconception care utilization From total participants one third 133(35.6 %) of strongly agree with hospital or clinic is the best place to provide PCC. More than one third of 148(39.6%) women agree with PCC has any positive effect on pregnancy outcome. More than one third 145(38.8%) of mother agree with PCC can improve women’s health. Majority 153(40.9%) of mother agree on PCC is an important health issue for women of childbearing age. Majority of 147(39.3%) agree in PCC is a high priority for women with major medical illness to plan pregnancy (Table 4). Factors associated with the PCC utilization In bivariate logistic regression analysis Mother’s educational level, age of women, residence of women, gravidity, ANC follow up, adverse birth outcome and attitude toward PPC utilization were candidates for multivariate analysis. In the multivariable logistic regression, Mother’s educational level College and above, prim gravidity were statistically significantly associated with PCC utilization. Odds of Women’s education level college and above were five times (AOR= 5.08; 95%CI: 2.47 -12.07) more likely have utilized PCC when compared with women who haven’t formal education. Odds of women prim-gravid women were two times (AOR: 2.1; 95%1.3 to 5.9) more likely have utilized PCC when compared with multi gravid women (Table 4). Discussion This study aimed to assess preconception care utilization and associated factors among low-income household mother in Sidama regional state hospitals. In this study, the study participants’ utilization of preconception care was found to be 41.2 % (95% CI: 34.1; 45.1). This finding is in line with the study done in Jinka town (55.2%) (22) , but it is higher than the study done in in Fiche Town, Central Ethiopia (21.6%) (24). this discrepancy might be due to differences in the level of information about PCC. Similarly this study also higher than studies done in Mizan-Aman town Bench-Sheko Zone Southwest Ethiopia (28.6 %) (25) .This discrepancy might be due to differences in study socio- demographic variation; the current study was conducted in a health institution, women who had contact with health care providers may have received information about preconception care, and women with low-income household mother may have paid more attention to their health before becoming pregnant than others. Likewise, the finding of this study is higher prevalence than a study done in Debra beirhan Town, North Shoa, Ethiopia (13.4%) (26). this is probably due to the composition of the population included in the study. In the current study, participants were women of reproductive age with chronic disease in the follow-up clinic; these women may have been exposed to preconception information during routine follow-up, while in the Malaysian study, participants were high-risk pregnant women at first ANC booking. The finding of this study is higher than studies done in Debre Tabor Town Northwest Ethiopia 15.8% (27).This could be due to differences in measuring the level of knowledge, and sampling technique. In Nepal and Ghana studies, they were used non probability sampling technique to select study participants; as a result the data lacks representativeness and this is possibly due to differences in the level of information, residence, and educational background as well as the obstetric performance of respondents. On the other hand, the finding of this study is lower than studies done in Osun State, Nigeria (65.3%) (5), Ibadan, Nigeria (59.9%) (28).the difference might be due to the absence of preconception health care services, socioeconomic differences, media coverage, and educational background of the respondents. In this study, the study participants’ attitude towards preconception care was found to be 50.2% (95% CI: 46.9; 53.5). This finding is in line with a study done in India (52%) However, it is higher than a study done in Mizan-Aman (33.7%) (13). this could be due to the difference in the study population. Women who had in contact with health care providers may be got information about PCC and have a positive attitude towards preconception care. On the other hand, this study is lower than study done in Nigeria Ibadan (53.9%) (28). this might be due to differences in socio-economic status and the availability of preconception care. The result of this study showed that , Women’s with education status of college and above were five times (AOR= 5.08; 95%CI: 2.47 -12.07) more likely to utilized PCC as compared to women who doesn’t have formal education. This finding was supported by studies done in Jinka (22) and Nigeria (28) and Bench-Sheko Zone Southwest Ethiopia (25).This is due to the fact that as the level of education increases, critical thinking also increases; in addition, media exposure increases and this makes them to access health information easily from different sources like the internet. This study shows that Odds of women Prim-gravid women were two times (AOR: 2.1; 95%1.3 to 5.9) more likely have utilized PCC when compared with multi gravid women. This was supported by study conducted in Adet, North-Western Ethiopia (28). Women who were multiparous were 2.3 times more likely utilized preconception care than women who were prim Para .This could be due to women who deliver for the first time having exposure to pregnancy and labor complications like laboring for longer times, and also being exposed to information regarding preconception care at ANC follow-up, during institutional delivery, or PNC. Strength and limitations of the study This research is the first in type in this population groups specifically in low-income household mother.This study only includes only low-income household mother in governmental hospitals who had follow-up at OPD only. May introduce selection bias because of Participants were recruited only from chronic medical follow-up outpatient departments (OPDs). Conclusion This study establishes the prevalence of preconception care utilization and associated factors among low-income urban mothers in Sidama region, Ethiopia. The results indicate that the prevalence of preconception care utilization in this setting is relatively low compared to previous other studies. Statistical analysis identified mother’s educational level college and above and prim-gravidity were statistically significantly associated with pre conception care utilization. Thus, health promotion for low-income urban mothers on preconception care should be given by health care providers to increase proportion and to mitigate factors associated with service utilization Abbervations ACPH :Alata Chuko Primary Hospital;AGH: Adare General Hospital;AWGH: Alata wondo General Hospital; CDC:Center of Disease Control; HIV: Human Immune Virus; HPH: Hantate Primary Hospital; KPH: Kebado Primary Hospital; NTD: Neural Tube Defect; PC: Preconception Care; SDG: Sustainable Development Goal; STI: Sexually Transmitted Infections; WHO : World Health Organization; YPH: Yaye Primary Hospital Declarations This research is done in compliance with the declaration of Helsinki’s ethical principles for medical research involving human subjects. Ethical approval was obtained from the Institutional Review Board of Dilla University College of medicine and health science with the reference number (Ref. No: IRB/151/17). A letter of permission was obtained from the Sidama regional state health bureau and respective hospitals. The purpose of research was to study participants. Informed written consent was obtained from the mother by the granted ethical approval letter from the Dilla university department of public health. ACKNOWLEDGEMENTS Frist I would like to express my deepest gratitude to Dilla University, College of Health and Medical Sciences, Department of Public Health for giving me this chance. Next, I would like to convey my heartfelt thanks, appreciation, and acknowledgment to my advisors Mrs, Dirshaye Argaw (MPH, Assist.Prof.) and Mrs. Ayisha Said (MPH) for their valuable constructive comments, guidance, and timely feedback starting from title selection. I would like to thank to sidama region, Ethiopia helath office for providing supportive and permistion letter. Finally, I would like to sincerely thank to the data collectors, supervisiors and married women who have chronic diseases follow-up and willing to take part in this study. References . !!! INVALID CITATION !!! [2]. WHO. World Health Organization (WHO). Meeting to develop a global consensus on preconception care to reduce maternal and childhood mortality and morbidity. . 2021. WHO. World Health Organization. Preconception care. Report of a regional expert group consultation, 6–8 August 2013, New Delhi, India. Geneva: WHO; 2014. 2014. HuangID RS, Spence AR, Abenhaim HA. Age-related disparities in national maternal mortality trends: A population-based stud. 2025. UNICEF. Maternal mortality rates and statistics. 2025 [Available from: https://data.unicef.org/topic/maternal-health/maternal-mortality/. African region's maternal and newborn mortality declining, but progress still slow. World Health Organization(WHO) [Available from: https://www.afro.who.int/news/african-regions-maternal-and-newborn-mortality-declining-progress-still-slow. UN. United Nations Statistics Division. (2025). The Sustainable Development Goals Report 2025. UN Stats. 2025 [Available from: https://unstats.un.org/sdgs/report/2025. UNCEF. Global causes of maternal death: A WHO systematic analysis. (Or a similar foundational text for the "developing countries" claim). 2025. WHO. World Health Organization Fact sheet N348. Geneva: World Health Organization. 2016. Institute. NYSDoHA. Preconception care for HIV-infected women. New York: New York State Department of Health AIDS Institute. 2020. Olayinka OA AO, Amos AO, Chiedu EM. Awareness and barriers to utilising maternal health care services among reproductive women in the Amassoma community, Bayelsa State. Int J Nurs Midwifery. 2020. Black RE LC, Walker N, Chou D, Liu L, Temmerman M. 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Tables Table1: Socio-demographic characteristics of in Sidama regional state hospitals, southern Ethiopia, 2025 Variable Frequency Percent Age Categories 15-24 34 9.1 25-34 279 74.6 35-49 61 16.3 Orthodox 98 26.2 Religion Protestant 178 47.6 Muslim 78 20.9 Catholic 20 5.3 Educational Status No formal education 57 15.2 Primary education 68 18.2 Secondary education 124 33.2 College and above 125 33.4 Occupation House wife 141 37.7 Student 46 12.3 Merchant 46 12.3 Gov't employer 141 37.7 No formal education 124 33.2 Husband’s educational Status Primary education 36 9.6 Secondary education 54 14.4 College and above 160 42.8 Husband’s Occupation Private business 142 38.0 Government employ 46 12.3 Student 44 11.8 Daily labour 142 38.0 Farmer 142 38.0 M onthly income 2000ETB 224 59.9 R esidence Rural 256 68.4 Urban 118 31.6 Having Mass Media to access health related information (TV/radio) Yes 335 90 No 34 10 Having mobile phon e to access health related information Yes 74 19.8 No 300 80.2 Table 2: Obstetric Characteristics of preconception care utilization among low-income household mother Sidama regional state, southern Ethiopia, 2025 (n = 374) Variable Categories Frequency Percent Gravidity Prim gravid 149 39.8% Multi gravid 225 60.2% Parity Prim Para 74 19.8% Multi Para 300 80.2% Do you have a children Yes 300 80.2% No 74 19.8% History of ANC follow-up Yes 308 82.4% No 66 17.6% Previous adverse birth outcome Yes 141 37.7% No 233 62.3% Table3: Attitude towards preconception care utilization among married women in Sidama regional state, southern Ethiopia, 2025 (N = 374) Variables Di-Agree (2) Neutral (3) Agree (4) S. Agree (5) n % N % n % N % Hospital or clinic is the best place to provide PCC 20 5.3 102 27.3 119 31.8 133 35.6 PCC has any positive effect on pregnancy outcome 14 3.7 130 34.8 148 39.6 82 21.9 PCC can improve women’s health 23 6.1 124 33.2 145 38.8 81 21.7 PCC is an important health issue for women of childbearing age 24 6.4 145 38.8 153 40.9 52 13.9 PCC is a high priority for women with major medical illness to plan pregnancy 29 7.7 118 31.6 147 39.3 80 21.4 Over all Attitudes Postive 220 58.8 Negative 154 41.2 Table 4: Factors associated with preconception care utilization among low-income household mother Sidama regional state, southern Ethiopia, 2025 (n = 374) Variables PCC Utilization Practice COR (95% CI) AOR (95% CI) P value Poor Good Age of women (years) <25 29(13.2%) 20(13.0%) 1.314(0.6, 2.8) 1.4(0.7,1.2) 25–34 151(57.2%) 113(42.8%) 1.425(0.7, 2.5) 1.74(0.87,1.84) ≥35 40(65.6%) 21(34.4%) 1 1 Residence of women Urban 154(60.2%) 1 1 Rural 66(55.9%) 52(44.1%) 0.84(.54, 1.31) 0.98(.78, 2.34) Educational Level of Mother No formal Education 32(74.5%) 22(25.5%) 1 1 Primary 37(66.1%) 19(33.9%) 1.34(1.42, 2.34) 1.46(1.73,2.14)0 .457 Secondary 67(44.7%) 83(55.3%) 2.49 (1.59, 3.90) 1.01 (0.54, 1.9) 0.966 College and above 75(66.4%) 38(33.6%) 10.0 (6.21, 16.80) 5.08(2.47, 12) 0.001 Gravidity Prim gravid 48(64.9%) 26(35.1%) 3.94(2.25 to 7.21) 2.1(1.3, 5.9) 0.001* Multi gravid 172(57.3%) 128(42.7%) 1 1 ANC follow up Yes 185(60.1%) 123(39.9%) 1.52(0.57 to 2.89) 0.45(0.11,3.27) 0.121 No 35(53.0%) 31(47.0%) 1 1 Adverse birth outcome Yes 78(55.3%) 63(44.7%) 1 1 No 142(60.9%) 91(39.1%) 0.793 (.519, 1.212) 0.87 (.62,1.96) Attitude of women Positive 74(33.6%) 146(66.4%) 1 1 Negative 56(36.4%) 98(63.6%) 0.89 (0.74, 1.86) 1.0 (0.54, 1.92) 0.966 P-value < 0.05 was statistically significant, 1 = Reference Additional Declarations The authors declare no competing interests. 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Background\u003c/p\u003e\n\u003cp\u003ePreconception care (PCC) is a comprehensive set of medical, behavioural, and social interventions designed to identify and manage health risks for individuals or couples before conception. Its primary goal is to optimize the health of the prospective parents to improve pregnancy outcomes and ensure the wellbeing of the future child (1, 2) . Preconception care (PCC)\u0026nbsp;serves as a vital preventive healthcare strategy implemented before a couple conceives (3). Beyond its clinical benefits, PCC is highly cost-effective, significantly reducing the risk of adverse pregnancy outcomes particularly for individuals managing chronic medical disorders.\u003c/p\u003e\n\u003cp\u003eGlobally, approximately \u003cstrong\u003e287,000 women die annually\u003c/strong\u003e from pregnancy and childbirth-related complications (4). Sub-Saharan Africa remains the most affected region, accounting for roughly 70% of all maternal deaths worldwide(5).When figures from sub-Saharan Africa are combined with those from Southern Asia, these two regions represent 87% of the global maternal mortality burden(6).\u0026nbsp;In developing countries, maternal and neonatal mortality continues to be a critical public health challenge, rooted in systemic inequities and inadequate access to care(7).\u0026nbsp;To improve maternal outcomes and significantly reduce the maternal mortality ratio (MMR), the implementation of \u003cstrong\u003epreconception care\u003c/strong\u003e is essential as a primary preventive strategy(8).\u003c/p\u003e\n\u003cp\u003eThe Sustainable Development Goal (SDG) number three aims to reduce the global ratio of maternal mortality to less than 70 per 100,000 live births and new born death to 12 per 1000 live births by the year 2030\u0026nbsp;(9). PCC has a positive impact on reducing mortality and reduces the risk of adverse health outcomes for the woman, foetus and before scheduling and conceiving a pregnancy\u0026nbsp;(10).\u003c/p\u003e\n\u003cp\u003eEven though governments, policy planners, and stakeholders are given a priority agenda for maternal and child health care services, the reduction of maternal and neonatal morbidity and mortality is not closely the target goal(11). Preconception health care has not become part of routine practice across the globe, especially in developing countries. However, in this region, there is higher maternal, and child death. Of which 77% of maternal, new-born, child death and stillbirth could be prevented by building a platform at the community, health centre, and hospital to implement essential packages such as nutritional optimization, preventing and treating infections, provision of family planning, screening and managing chronic medical diseases, substance abuse and lifestyle modifications(12) .\u003c/p\u003e\n\u003cp\u003eIn Ethiopia, the maternal mortality ratio was 412 maternal deaths per 100,000 live births, while under-five children\u0026rsquo;s, infants, and neonatal mortality rates were 67, 45 and 29 per 1000 live births, respectively (9).More than 90% or more of maternal and child mortality remains concentrated in South Asia and Sub-Saharan Africa, countries that simply lack the resources to deliver existing, effective interventions that could prevent many of these deaths\u0026nbsp;(13). Thus, moving towards preconception care offers the potential for earlier risk assessment and intervention that can benefit the woman or couple even before pregnancy and ensure the healthiest possible start for the new-born child(9).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAccording to some studies conducted in Ethiopia shows that the magnitude of preconception care utilization was\u0026nbsp;18.2% and 40% (14)\u0026nbsp;Du e to inadequacy of preconception care in some pregnancies may result in adverse health effects for women ,fetus or neonate(15)\u0026nbsp;.\u0026nbsp;Major contributors to Sub-Saharan Africa\u0026apos;s high rates of maternal death high rates are child marriage and unwanted births, in addition to a lack of timely access to high-quality medical care(16).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Different studies reported that less than 50% of women supplement their diet with foliate\u0026nbsp;during the preconception period (13), even though, there is strong evidence that foliate supplementation reduces the risk of neural tube defects (NTDs) (16).\u003c/p\u003e\n\u003cp\u003eOnly 53% of women\u0026nbsp;who had heard of foliate\u0026nbsp;reported doing so from\u0026nbsp;care\u0026nbsp;providers. Each year in the United States, approximately 6 million pregnancies result in\u0026nbsp;over 4 million live births. Almost half of all pregnancies are unintended, despite the\u0026nbsp;fact that 62% of the 62 million women of reproductive age use a contraceptive\u0026nbsp;method (17). The delivery of PCC is generally achieved in a primary health care setting,\u0026nbsp;but many women find that health care providers\u0026nbsp;rarely discuss the availability of\u0026nbsp;and need for PCC(12). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAccording to study conducted in at sub-Saharan Africa shows that, in sub-Saharan Africa, there is a poor preconception care practice and this is due to low economic status, lack of health care providers, being illiterate and poor awareness about maternal health including preconception care (18).\u0026nbsp;In order for intervention programs to be effective, it is necessary to understand the target populations\u0026apos; knowledge, attitudes, and health behaviors in addition to the intervention\u0026apos;s efficacy. Understanding the factors that affect women\u0026apos;s propensity to use preconception services or engage in health preconception practices is also crucial for those in charge of preconception programs and treatments(19).\u003c/p\u003e\n\u003cp\u003eAlthough women with chronic disease prone to develop difficulties, many studies in our nation and in the study region concentrated on knowledge of preconception care among reproductive age women with no medical disorder, despite the fact that preconception care is vitally necessary for these women. However some study conducted related to mother\u0026rsquo;s utilization of PCC service and associated factors among married women. However, per our knowledge no study has been conducted in the study area specifically in population group represented by mothers with chronic disease. Thus, this study was filled the gap and generate information aimed to assess the prevalence of preconception care utilization and associated factors among low-income household mother.\u0026nbsp;\u003c/p\u003e"},{"header":"METHODS AND MATERIALS","content":"\u003cp\u003e\u003cstrong\u003eStudy area and period\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was conducted in Sidama region public health institutions, Sidama regional state south-central part of Ethiopia. The capital city of Sidama regional state is Hawassa. It is located at a distance of 273 km south of Addis Ababa, the capital city of Ethiopia. \u0026nbsp;Sidama regional state is bordered with Oromia region in the north, northeast, east, southeast, southwest, northwest, and with Southern Nations Nationalities and Peoples Region in the central part. The region has 21 public hospitals (4 general hospitals \u0026amp; 17 primary hospitals), 137 health centers.\u0026nbsp;All of them hospitals provide the services like outpatient and inpatient services, maternal and child health services, Operating services, Laboratory, Pharmacy, Ultrasound, antiretroviral therapy (ART) services for the community.\u0026nbsp;According to projections of the central statistics authority of Ethiopia, Sidama region population is estimated to be 4,623,162 in 2022. Male (2,326,541/50.3%) and female 2,296,621/49.7%)(20)\u0026nbsp;\u003cstrong\u003e(Fig1)\u003c/strong\u003e\u003c/p\u003e\n\u003cp id=\"_Toc215630799\"\u003eStudy Design and Period\u003c/p\u003e\n\u003cp\u003eAn institution-based cross-sectional study design was conducted from1-30/October 2025.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource and study population\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll low-income household mother who come for first antenatal care visit were source of population. All randomly selected low-income urban mothers who come for first antenatal care visit were source of population.\u0026nbsp;All low-income household mother who come for first antenatal visit at selected hospitals during the study period were included in the study, where as mother who were critically ill during the study period was excluded from the study.\u003c/p\u003e\n\u003cp id=\"_Toc215630808\"\u003eStudy variables\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDependent variable\u0026nbsp;was\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003ePreconception care Utilization; Socio-demographic variables (age, religion, level of education, occupation, marital status place of residence, distance from health institution, husband education level, and husband occupation).\u0026nbsp;Obstetric history\u0026nbsp;(gravidity, parity, number of children, family planning use,\u0026nbsp;previous\u0026nbsp;bad\u0026nbsp;obstetric\u0026nbsp;history e.g. abortion, still birth, congenital malformation).\u0026nbsp;Knowledge\u0026nbsp;of preconception care\u0026nbsp;(Good knowledge, Poor knowledge),\u0026nbsp;Attitude towards Preconception care\u003cspan id=\"_Toc215630809\"\u003e\u0026nbsp;(Positive attitude, Negative attitude)\u0026nbsp;were\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003eindependent variables\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOperational definitions\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePreconception care utilization: If women received any interventions either advice or treatment, and lifestyle modification regarding components of preconception care at least once before being pregnant is consider \u0026nbsp;Yes for Preconception care utilization, otherwise No for Preconception care utilization(16)\u003cstrong\u003e.\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA low-income household mother is defined as an individual whose total monthly household income falls below the Anker National Living Income Reference Value. For the context of rural Ethiopia (2021), this threshold is established at approximately 7,985 ETB per month (21).\u003c/p\u003e\n\u003cp\u003eGood Knowledge: \u0026nbsp;Those who have scored above or equal to 75% of correct responses to preconception care awareness questions (21). Poor knowledge: \u0026nbsp;Those who have scored less than 75% of correct responses to preconception care awareness questions (22) Women of Reproductive age: Adolescent girls age 15 and older, and women up to age 49 ears. \u0026nbsp;Positive attitude: Those who have scored above or equal to 50% of correct responses to preconception care attitude questions. \u0026nbsp;Negative attitude: Those who have scored less than 50% of correct responses to preconception care awareness questions(22)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSample size\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ed\u003c/strong\u003e\u003cstrong\u003eetermination\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe sample size of this study was calculated by using single population proportion formula using epi info with assumption of: 0.05 margin of error (d), a 95% Confidence Interval (CI), estimated proportion of good utilization of preconception care \u0026nbsp;among pregnant women was 40% (16).\u003c/p\u003e\n\u003cp\u003eThe minimum sample size required for the study is determined by using a single population proportion formula as follows:\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSampling technique\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are \u0026nbsp;One (1 )Specialazide Hospital Five(5) General Hospitals and Seventeen (17) primary hospitals providing PCC in Sidama Regional State .30% of representatives Tula, Daye and Alata-wondo General Hospital. Among six (6) hospitals was selected by considering through a simple random sampling method 1general and 5 primary hospitals. After Selection of 30% of hospitals the study participant then, the sample size was proportionally allocated to each selected hospital based on the number of available study participants. Finally simple random sampling method was used to select study participants from each hospital\u003c/p\u003e\n\u003cp\u003enj= nfNj/N, Where nj is the sample size for the jth hospital\u003c/p\u003e\n\u003cp\u003enf= is the final sample size which is \u003cstrong\u003e406\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNj= total population for the jth hospital and N= N1+N2+N3+N4+N5+N6=406\u003c/p\u003e\n\u003cp\u003eThe proportion for each health institution was sown as follows \u003cstrong\u003e(Figure 2)\u003c/strong\u003e\u003c/p\u003e\n\u003ch2\u003e\u0026nbsp;Data collection\u0026nbsp;tools\u003c/h2\u003e\n\u003cp\u003eThe questionnaire was developed after careful searching of literatures on similar topics conducted earlier\u0026nbsp;(23).\u0026nbsp;Two BSc Midwives and one public health field supervisor was recruited for data collection. Data was collected by using kobo toolbox mobile phone application.\u0026nbsp;The\u0026nbsp;questionnaires have five parts: Sociodemographic characteristics, Obstetric history,\u0026nbsp;knowledge\u0026nbsp;questions, Attitude related questions and Preconception care utilization related questions.\u003c/p\u003e\n\u003ch2 id=\"_Toc200364197\"\u003eData quality assurance \u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eProperly designed data collection tools was utilized to ensure data quality. First, it was prepared in English and then translated to local language (Sidamu Afoo). The 5% of pre-test was performed (20) of the total sample size at two weeks before the data collection period to assess the clarity, sequence, consistency, understand ability, and total time to complete the questionnaire. Later on, any ambiguity, difficult words, and differences in understanding was revised based on pre-test experience. Each questionnaire was coded with a unique identification number. Two days training was given for data collectors and supervisors, regarding data collection procedures, ethical considerations for the participants, dangers of validity of data if there is a protocol breach, and briefed on each question included in the study.The principal investigators was checked and reviewed the collected data daily to ensure the completeness and consistency of the data collected and immediate corrective measures was taken accordingly.\u003c/p\u003e\n\u003ch2 id=\"_Toc200364198\"\u003eData analysis\u0026nbsp;\u003c/h2\u003e\n\u003cp id=\"_Toc215630815\"\u003eAfter ensuring the completeness of the questionnaire; the data was checked, cleaned, coded and entered in to SPSS version 26 software for analysis purpose. Binary and multivariate logistic regressions was employed to identify the relationships between the predictors and the outcome variable and variable with p-value \u0026le; 0.2 at 95% confidence interval was candidate for a multivariable logistic regression analysis. The association between dependent variable and independent variables were determined by using adjusted odds ratio with 95% confidence interval and p-value \u0026lt;0.05 are considered as significant associations. Multicollinearity was checked to see the linear correlation among the associated independent variables by using variance inflation factor (VIF) and standard error. Variance inflation factor (VIF) of \u0026gt;10 or standard error of \u0026gt;2 was considered as suggestive of the existence of multicollinearity. For that reason, variables with VIF \u0026gt;10 or standard error \u0026gt; 2 was be checked to be dropped from multi-variable analysis. Assumption of multi-collinearity results is VIF\u0026lt;10 and tolerance test \u0026gt;0.1 for all independent variable\u003c/p\u003e"},{"header":"RESULT","content":"\u003cp\u003e\u003cstrong\u003eSocio-demographic characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 406 participants were recruited for the study with a response rate of 92.1%. \u0026nbsp;Among the study participant, 38 %( n=143) were between 55 and 49 years old, with a mean age of 29 and SD \u0026plusmn;7.26 years. The majority of the respondents were protestant in religion 47.6% followed by Orthodox (26%). Majority of respondents were college and above (33.4%). Nearly three forth of respondents (72%) were government employ. More than one third (38%) of respondent had average monthly income were greater than 2000ETB. Majority of respondents (90%) respondents had mass media to access health related information (TV/radio). 82% had mobile phone to access health related information (\u003cstrong\u003eTable1\u003c/strong\u003e).\u003c/p\u003e\n\u003cp id=\"_Toc215630818\"\u003ePreconception\u0026nbsp;care utilization\u003c/p\u003e\n\u003cp\u003eAccording to this study over all prevalence of preconception care utilization among low-income household mother were 41.2 %( 95%CI: 34.5-46.1)\u003cstrong\u003e\u0026nbsp;(Figure2)\u003c/strong\u003e\u003c/p\u003e\n\u003cp id=\"_Toc215630819\"\u003eObstetric-related characteristics\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMajority of (60.2%) of mothers was multigravida. Majority of respondents (89.6%0 were multi-Para. More than one third of respondents (38%) had more than four children. Majority of respondents (87.7%) had history of ANC follow-up for last pregnancy, and nearly three forth 32% (n=121) had previous adverse birth outcome \u003cstrong\u003e(Table 2).\u003c/strong\u003e\u003c/p\u003e\n\u003cp id=\"_Toc215630820\"\u003eKnowledge level of preconception care\u003c/p\u003e\n\u003cp\u003eThe findings of this study showed that, 36.4% (\u003cstrong\u003e136\u003c/strong\u003e) of the participants had good knowledge on preconception care (Figure 3).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAttitude towards preconception care utilization\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFrom total participants one third 133(35.6 %) of strongly agree with hospital or clinic is the best place to provide PCC. More than one third of 148(39.6%) women agree with PCC has any positive effect on pregnancy outcome. More than one third 145(38.8%) of mother agree with\u0026nbsp;PCC\u0026nbsp;can improve women\u0026rsquo;s health. Majority 153(40.9%) of mother agree on PCC is an important health issue for women of childbearing age. Majority of 147(39.3%) agree in PCC is a high priority for women with major medical illness to plan pregnancy (Table 4).\u003c/p\u003e\n\u003cp id=\"_Toc215630821\"\u003eFactors associated with the PCC utilization\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn bivariate logistic regression analysis Mother\u0026rsquo;s educational level, age of women, residence of women, gravidity, ANC follow up, adverse birth outcome and attitude toward PPC utilization were candidates for multivariate analysis. In the multivariable logistic regression,\u0026nbsp;Mother\u0026rsquo;s educational level College and above, prim gravidity\u0026nbsp;were statistically significantly associated with PCC utilization. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOdds of Women\u0026rsquo;s education level college and above were five times (AOR=\u0026nbsp;5.08; 95%CI:\u0026nbsp;2.47 -12.07) more likely have utilized PCC when compared with women who haven\u0026rsquo;t formal education. Odds of women prim-gravid women were two times\u0026nbsp;(AOR: 2.1; 95%1.3 to 5.9) more likely have utilized PCC when compared with multi gravid women \u003cstrong\u003e(Table 4).\u003c/strong\u003e \u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study aimed to assess preconception care utilization and associated factors among low-income household mother in Sidama regional state hospitals. In this study, the study participants’ utilization of preconception care was found to be 41.2 % (95% CI: 34.1; 45.1). This finding is in line with the study done in Jinka town (55.2%)\u0026nbsp;(22)\u0026nbsp;, but it is higher than the study done in\u0026nbsp;in Fiche Town, Central Ethiopia\u0026nbsp;(21.6%)\u0026nbsp;(24). this discrepancy might be due to differences in the level of information about PCC. Similarly this study also\u0026nbsp;higher than studies done in Mizan-Aman town Bench-Sheko Zone Southwest Ethiopia (28.6 %) (25)\u0026nbsp;.This discrepancy might be due to differences in study socio- demographic variation; the current study was conducted in a health institution, women who had contact with health care providers may have received information about preconception care, and women with low-income household mother may have paid more attention to their health before becoming pregnant than others.\u003c/p\u003e\n\u003cp\u003eLikewise, the finding of this study is higher prevalence than a study\u0026nbsp;done in Debra beirhan Town, North Shoa, Ethiopia\u0026nbsp;(13.4%) (26). this is probably due to the composition of the population included in the study. In the current study, participants were women of reproductive age with chronic disease in the follow-up clinic; these women may have been exposed to preconception information during routine follow-up, while in the Malaysian study, participants were high-risk pregnant women at first ANC booking.\u003c/p\u003e\n\u003cp\u003eThe finding of this study is higher than studies done in\u0026nbsp;Debre Tabor Town Northwest Ethiopia 15.8% (27).This could be due to differences in measuring the level of knowledge, and sampling technique. In Nepal and Ghana studies, they were used non probability sampling technique to select study participants; as a result the data lacks representativeness and this is possibly due to differences in the level of information, residence, and educational background as well as the obstetric performance of respondents.\u003c/p\u003e\n\u003cp\u003eOn the other hand, the finding of this study is lower than studies done in Osun State, Nigeria (65.3%) (5), Ibadan, Nigeria (59.9%)\u0026nbsp;(28).the difference might be due to the absence of preconception health care services, socioeconomic differences, media coverage, and educational background of the respondents.\u003c/p\u003e\n\u003cp\u003eIn this study, the study participants’ attitude towards preconception care was found to be 50.2% (95% CI: 46.9; 53.5). This finding is in line with a study done in India (52%) However, it is higher than a study done in Mizan-Aman (33.7%) (13). this could be due to \u0026nbsp;the difference in the study population. Women who had in contact with health care providers may be got information about PCC and have a positive attitude towards preconception care.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOn the other hand, this study is lower than study done in Nigeria Ibadan (53.9%)\u0026nbsp;(28). this might be due to differences in socio-economic status and the availability of preconception care.\u003c/p\u003e\n\u003cp\u003eThe result of this study showed that , Women’s \u0026nbsp;with \u0026nbsp; \u0026nbsp;education status of \u0026nbsp;college and above were \u0026nbsp;five times (AOR= 5.08; 95%CI: 2.47 -12.07) more likely to utilized PCC as compared to women who doesn’t have \u0026nbsp;formal education. This finding was supported by studies done in Jinka\u0026nbsp;(22)\u0026nbsp;and Nigeria\u0026nbsp;(28) and Bench-Sheko Zone Southwest Ethiopia (25).This is due to the fact that as the level of education increases, critical thinking also increases; in addition, media exposure increases and this makes them to access health information easily from different sources like the internet.\u003c/p\u003e\n\u003cp\u003eThis study shows that\u0026nbsp;Odds of women Prim-gravid women were two times\u0026nbsp;(AOR: 2.1; 95%1.3 to 5.9) more likely have utilized PCC when compared with multi gravid women. This was supported by study conducted in\u0026nbsp;Adet, North-Western Ethiopia\u0026nbsp;(28).\u0026nbsp;Women who were multiparous were 2.3 times more likely utilized preconception care than women who were prim Para .This could be due to women who deliver for the first time having exposure to pregnancy and labor complications like laboring for longer times, and also being exposed to information regarding preconception care at ANC follow-up, during institutional delivery, or PNC.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStrength and limitations of the study\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research is the first in type in this population groups specifically in low-income household mother.This study only includes only low-income household mother in governmental hospitals who had follow-up at OPD only. May introduce selection bias because of Participants were recruited only from chronic medical follow-up outpatient departments (OPDs).\u003c/p\u003e"},{"header":"Conclusion ","content":"\u003cp\u003eThis study establishes the prevalence of preconception care utilization and associated factors among low-income urban mothers in Sidama region, Ethiopia. The results indicate that the prevalence of preconception care utilization in this setting is relatively low compared to previous other studies. Statistical analysis identified mother\u0026rsquo;s educational level college and above and prim-gravidity were statistically significantly associated with pre conception care utilization. Thus, health promotion for low-income urban mothers on preconception care should be given by health care providers to increase proportion and \u0026nbsp;to mitigate factors associated with service utilization\u0026nbsp;\u003c/p\u003e"},{"header":"Abbervations","content":"\u003cp\u003eACPH :Alata Chuko Primary Hospital;AGH: Adare General Hospital;AWGH: Alata wondo General Hospital; CDC:Center of Disease Control; HIV: Human Immune Virus; HPH: Hantate Primary Hospital; KPH: Kebado Primary Hospital; NTD: Neural Tube Defect; PC: Preconception Care; SDG: Sustainable Development Goal; STI: Sexually Transmitted Infections; WHO : World Health Organization; YPH: Yaye Primary Hospital\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eThis research is done in compliance with the declaration of Helsinki\u0026rsquo;s ethical principles for medical research involving human subjects. Ethical approval was obtained from the Institutional Review Board of Dilla University College of medicine and health science with the reference number (Ref. No: IRB/151/17). A letter of permission was obtained from the Sidama regional state health bureau and respective hospitals. The purpose of research was to study participants. Informed written consent was obtained from the mother by the granted ethical approval letter from the Dilla university department of public health.\u003c/p\u003e\n\u003cp\u003eACKNOWLEDGEMENTS\u003c/p\u003e\n\u003cp\u003eFrist I would like to express my deepest gratitude to Dilla University, College of Health and Medical Sciences, Department of Public Health for giving me this chance.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Next, I would like to convey my heartfelt thanks, appreciation, and acknowledgment to my advisors\u0026nbsp;Mrs,\u0026nbsp;Dirshaye Argaw (MPH, Assist.Prof.) and\u0026nbsp;Mrs.\u0026nbsp;Ayisha Said\u0026nbsp;(MPH) for their valuable constructive comments, guidance, and timely\u0026nbsp;feedback\u0026nbsp;starting from title selection.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eI would like to thank to sidama region, Ethiopia helath office for providing supportive and permistion letter. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFinally, I would like to sincerely thank to the data collectors, supervisiors and married women who have chronic diseases follow-up and willing to take part in this study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! [2].\u003c/li\u003e\n\u003cli\u003eWHO. World Health Organization (WHO). Meeting to develop a global consensus on preconception care to reduce maternal and childhood mortality and morbidity. . 2021.\u003c/li\u003e\n\u003cli\u003eWHO. World Health Organization. Preconception care. Report of a regional expert group consultation, 6\u0026ndash;8 August 2013, New Delhi, India. Geneva: WHO; 2014. 2014.\u003c/li\u003e\n\u003cli\u003eHuangID RS, Spence AR, Abenhaim HA. Age-related disparities in national maternal mortality trends: A population-based stud. 2025.\u003c/li\u003e\n\u003cli\u003eUNICEF. Maternal mortality rates and statistics. 2025 [Available from: https://data.unicef.org/topic/maternal-health/maternal-mortality/.\u003c/li\u003e\n\u003cli\u003eAfrican region\u0026apos;s maternal and newborn mortality declining, but progress still slow. World Health Organization(WHO) [Available from: https://www.afro.who.int/news/african-regions-maternal-and-newborn-mortality-declining-progress-still-slow.\u003c/li\u003e\n\u003cli\u003eUN. United Nations Statistics Division. (2025). The Sustainable Development Goals Report 2025. UN Stats. 2025 [Available from: https://unstats.un.org/sdgs/report/2025.\u003c/li\u003e\n\u003cli\u003eUNCEF. Global causes of maternal death: A WHO systematic analysis. (Or a similar foundational text for the \u0026quot;developing countries\u0026quot; claim). 2025.\u003c/li\u003e\n\u003cli\u003eWHO. World Health Organization Fact sheet N348. Geneva: World Health Organization. 2016.\u003c/li\u003e\n\u003cli\u003eInstitute. NYSDoHA. Preconception care for HIV-infected women. New York: New York State Department of Health AIDS Institute. 2020.\u003c/li\u003e\n\u003cli\u003eOlayinka OA AO, Amos AO, Chiedu EM. Awareness and barriers to utilising maternal health care services among reproductive women in the Amassoma community, Bayelsa State. Int J Nurs Midwifery. 2020.\u003c/li\u003e\n\u003cli\u003eBlack RE LC, Walker N, Chou D, Liu L, Temmerman M. Reproductive, maternal, newborn, and child health: key messages from disease control priorities 3rd edition. 2019.\u003c/li\u003e\n\u003cli\u003eNetherlands HCot. Health Council of the Netherlands: Preconception care:A good beginning. . 2017.\u003c/li\u003e\n\u003cli\u003eAsresu TT ea. Mothers\u0026rsquo; utilization and associated factors in preconception care in northern Ethiopia: a community-based cross-sectional study. BMC Pregnancy Childbirth. 2019(19:347.).\u003c/li\u003e\n\u003cli\u003eGynecologists: ACoOa. The Importance of Preconception Care in the Continuum of Women\u0026apos;s Health Care. . 2015.\u003c/li\u003e\n\u003cli\u003eGirma A, Bedada A, Kumbi S. Utilization of preconception care and associated factors among pregnant women attending ANC in private MCH Hospitals in Addis Ababa, Ethiopia. BMC Pregnancy Childbirth. 2023;23(1):649.\u003c/li\u003e\n\u003cli\u003eJourabchi Z SS, Lye MS, Saeed A, Khor GL, Tajuddin SHS. . Association Between Preconception Care and Birth Outcomes. Am J Health Promot. 2019.\u003c/li\u003e\n\u003cli\u003eWatson LF BS DM-A. Use of perceptional folic acid supplements in Victoria and New South Wales, Australia. . Aust N Z J Public Health. 2017(42-9.).\u003c/li\u003e\n\u003cli\u003eSteel A, Lucke J, Adams J. The prevalence and nature of the use of preconception services by women with chronic health conditions: an integrative review. BMC women\u0026apos;s health. 2015;15(1):1-12.\u003c/li\u003e\n\u003cli\u003eEthiopia PaHCo. Results for Southern Nations, Nationalities and Peoples\u0026apos; Region, Vol. 2 Archived 2008-11-20 at the Wayback Machine, Table 2.16 (accessed 30 December 2008). 2008.\u003c/li\u003e\n\u003cli\u003eVage Gl. LIVING INCOME FOR GUJI ZONE (OROMIA REGION), ETHIOPIA 2021 [Available from: https://globallivingwage.org/wp-content/uploads/2022/09/Living-income-for-Guji-Zone_Oroma-region_Ethiopia-2021_V4.pdf#:~:text=The%20Anker%20National%20Living%20Income%20Reference%20Value,although%20living%20costs%20per%20person%20are%20similar.\u003c/li\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! (22).\u003c/li\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! (23,24,25).\u003c/li\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! (23).\u003c/li\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! (24).\u003c/li\u003e\n\u003cli\u003eDemisse TL AS, Kitila SB, Tafesse TT, Gelaw KA, Zerihun MS. Utilization of preconception care and associated factors among reproductive age group women in Debre Birhan town, North. . 2019.\u003c/li\u003e\n\u003cli\u003e. !!! INVALID CITATION !!! (25).\u003c/li\u003e\n\u003cli\u003eGoshu YA LT, Simegn Ayele A. Preconception Care utilization and its Associated factors among pregnant women in Adet, North-Western Ethiopia (implication of Reproductive Health). . 2018.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTable1: Socio-demographic characteristics of in Sidama regional state hospitals, southern Ethiopia, 2025\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"678\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercent\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCategories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e15-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e9.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e25-34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e279\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e74.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e35-49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e16.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eOrthodox\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e26.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eReligion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eProtestant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e47.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eMuslim\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e20.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eCatholic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e5.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e15.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003ePrimary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e18.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eSecondary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e33.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e33.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOccupation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eHouse wife\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e37.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eStudent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eMerchant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eGov\u0026apos;t employer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; 141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e37.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;33.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHusband\u0026rsquo;s\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eeducational Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003ePrimary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 9.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eSecondary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;14.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;42.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHusband\u0026rsquo;s\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOccupation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003ePrivate business\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;38.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eGovernment employ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eStudent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;11.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eDaily labour\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 38.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eFarmer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;38.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eM\u003c/strong\u003e\u003cstrong\u003eonthly income\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026lt; 1000ETB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 15.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e1000-1999ETB\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 25.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026gt; 2000ETB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e224\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 59.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eR\u003c/strong\u003e\u003cstrong\u003eesidence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eRural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 68.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eUrban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 31.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving Mass Media\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eto access health\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003erelated information\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(TV/radio)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e335\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving mobile phon\u003c/strong\u003e\u003cstrong\u003ee\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eto access health\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003erelated information\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 19.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e300\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;80.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 2: Obstetric Characteristics of preconception care utilization among low-income household mother Sidama regional state, southern Ethiopia, 2025 (n = 374)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"636\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eCategories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePercent\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGravidity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003ePrim gravid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e149\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e39.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003e\u0026nbsp; Multi gravid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e225\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e60.2%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParity\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003e\u0026nbsp; Prim Para\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e19.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Multi Para\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e300\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e80.2%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDo you have a children\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e300\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e80.2%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e19.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHistory of ANC follow-up\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e308\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e82.4%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e17.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePrevious adverse birth outcome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e37.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 147px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e233\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e62.3%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable3: Attitude towards preconception care utilization among married women in Sidama regional state, southern Ethiopia, 2025 (N = 374)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"680\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDi-Agree (2)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNeutral (3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAgree (4)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS. Agree (5)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHospital or clinic is the best place to provide PCC\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e5.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e27.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e31.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e133\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e35.6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePCC has any positive effect on pregnancy outcome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e34.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e148\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e39.6\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e21.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePCC can improve women\u0026rsquo;s health\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e6.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e33.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e145\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e38.8\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e21.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePCC is an important health issue for women of childbearing age\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e6.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e38.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e153\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e40.9\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e13.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePCC is a high priority for women with major medical illness to plan pregnancy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003e7.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e31.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e147\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e39.3\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e21.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOver all Attitudes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePostive\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e220\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e58.8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNegative\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e154\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e41.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 56px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 4: Factors associated with preconception care utilization among low-income household mother\u0026nbsp;Sidama regional state, southern Ethiopia, 2025 (n = 374)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"663\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" valign=\"top\" style=\"width: 188px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePCC Utilization Practice\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePoor\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGood \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eAge of women (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026lt;25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e29(13.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e20(13.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e1.314(0.6, 2.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1.4(0.7,1.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e25\u0026ndash;34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e151(57.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e113(42.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e1.425(0.7, 2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1.74(0.87,1.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026ge;35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e40(65.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e21(34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 663px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eResidence of women\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eUrban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e154(60.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eRural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e66(55.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e52(44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u0026nbsp;0.84(.54, 1.31) \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e0.98(.78, 2.34) \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 663px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational Level of Mother\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eNo formal Education\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e32(74.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e22(25.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003ePrimary\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e37(66.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e19(33.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e1.34(1.42, \u0026nbsp; \u0026nbsp; 2.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1.46(1.73,2.14)0 \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e.457\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eSecondary\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e67(44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e83(55.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e2.49 (1.59, \u0026nbsp; \u0026nbsp; 3.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1.01 (0.54, 1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e75(66.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e38(33.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e10.0 (6.21, 16.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.08(2.47, 12)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGravidity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003ePrim gravid\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e48(64.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e26(35.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e3.94(2.25 to 7.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e2.1(1.3, \u0026nbsp;5.9)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eMulti gravid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e172(57.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e128(42.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eANC follow up\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e185(60.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e123(39.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e1.52(0.57 to 2.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e0.45(0.11,3.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e35(53.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e31(47.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1 \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdverse birth outcome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e78(55.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e63(44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e142(60.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e91(39.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.793 (.519, 1.212)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e0.87 (.62,1.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAttitude of women\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Positive\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e74(33.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e146(66.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Negative\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e56(36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e98(63.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.89 (0.74, \u0026nbsp; \u0026nbsp; 1.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e1.0 (0.54, 1.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; P-value \u003cem\u003e\u0026lt;\u0026nbsp;\u003c/em\u003e0.05 was statistically significant, 1 = Reference\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Dilla University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Low-income household mother, Preconception care utilization, Sidama, Ethiopia","lastPublishedDoi":"10.21203/rs.3.rs-8909635/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8909635/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e \u0026nbsp;Preconception Preconception care (PCC) utilization remains a significant challenge in low- and middle-income countries, contributing to prevent high rates of maternal and neonatal morbidity and mortality.\u003c/p\u003e\n\u003cp\u003eDespite its critical impact on health outcomes, there is a little evidence concerning the prevalence and determinants of service utilization within the Sidama region. Thus, this study aimed to assess the prevalence of preconception care utilization and its associated factors among low-income household mother in Sidama, Ethiopia, in 2025.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u0026nbsp;\u003c/strong\u003eAn institutional based cross-sectional study design was conducted among 406 participants by using systematic random sampling technique. Data were collected using koobotool box, and exported to SPSS Version 25 for analysis. Binary logistic was employed to identify candidate variable (P-value≤ 0.25) for a multivariable logistic regression. A variable with P-value \u0026lt;0.05 in multivariable logistic regressions at 95% confidence interval was declared as having significant associations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResult: \u003c/strong\u003eThe study revealed that the prevalence of preconception care utilization among low-income household mother was 41.2 %( 95%CI: 34.5-46.1). The overall proper knowledge and attitude of professional ethics was 36.4%, 58.8% respectively. Level of education college and above (AOR= 5.08; 95%CI: 2.47 -12.07) and prim-gravid (AOR: 2.1; 95%1.3 to 5.9) were factors significantly associated with pre conception care utilization of mothers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eThis study revealed that the prevalence of preconception care utilization among low-income urban mothers was low. The level of education, college and above and being prim-gravidwere factors significantly associated with preconception care utilization. Thus, health promotion for low-income urban mothers on preconception care should be given by health care providers to increase proportion of service utilization.\u003c/p\u003e","manuscriptTitle":"Preconception care utilization and associated factors among low-income household mother in Sidama region, Ethiopia: cross-sectional study design","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-24 16:19:37","doi":"10.21203/rs.3.rs-8909635/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"86e716e3-6831-4e39-b20f-55629dc893bf","owner":[],"postedDate":"February 24th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":63181669,"name":"Nursing"}],"tags":[],"updatedAt":"2026-02-24T16:19:37+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-24 16:19:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8909635","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8909635","identity":"rs-8909635","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}