Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods

Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods View ORCID Profile R Mejia , I Chis Ster , ME Chico , I Guadalupe , A Arévalo-Cortés , A Lopez , A Oviedo , View ORCID Profile PJ Cooper doi: https://doi.org/10.1101/2025.03.24.25324506 R Mejia 1 National School of Tropical Medicine, Baylor College of Medicine , Houston, Texas, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for R Mejia I Chis Ster 2 Institute of Infection and immunity, St George’s University of London , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ME Chico 3 Fundación Ecuatoriana Para Investigación en Salud , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site I Guadalupe 3 Fundación Ecuatoriana Para Investigación en Salud , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site A Arévalo-Cortés 3 Fundación Ecuatoriana Para Investigación en Salud , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site A Lopez 4 School of Medicine, Universidad Internacional del Ecuador , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site A Oviedo 3 Fundación Ecuatoriana Para Investigación en Salud , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site PJ Cooper 2 Institute of Infection and immunity, St George’s University of London , UK 3 Fundación Ecuatoriana Para Investigación en Salud , Quito, Ecuador 4 School of Medicine, Universidad Internacional del Ecuador , Quito, Ecuador Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for PJ Cooper For correspondence: pcooper{at}sgul.ac.uk Abstract Full Text Info/History Metrics Data/Code Preview PDF Abstract Background There are few longitudinal epidemiological studies of intestinal parasitic infections (IPI) and their health effects. We studied the epidemiology and determinants of IPI and multiparasitism during childhood using molecular methods for parasite detection and analysed their effects on growth and hemoglobin levels. Methods Random sample of 401 children from an Ecuadorian birth cohort studied to 8 years. Data on environmental and sociodemographic characteristics were collected by questionnaires. Stool samples were collected, and weight, height, and hemoglobin levels were measured at 7 and 13 months, and 2, 3, 5, and 8 years. Stool samples were analysed using multi-parallel quantitative polymerase chain reaction for the presence of soil-transmitted helminth (STH) ( Ascaris lumbricoides , Trichuris trichiura , Ancylostoma spp. Necator americanus , and Strongyloides stercoralis ) and protozoal ( Giardia lamblia , Entamoeba histolytica , and Cryptosporidium spp.) parasites. Associations between risk factors and infections, and between infections and nutritional outcomes were estimated using generalized estimated equations applied to longitudinal binary or continuous outcomes. Results IPI were observed in 91.3% of the cohort during follow-up with peak proportions between 3 and 8 years, while multiparasitism increased more gradually (32.5% at 8 years). Factors significantly associated with multiparasitism included lower birth order, day care, Afro-Ecuadorian ethnicity, urban residence, lower household income, and maternal STH infections. IPI during follow-up were associated with lower hemoglobin (difference=-0.102, 95% CI −0.192 - −0.013, P=0.025), height-for-age (difference= −0.126, 95% CI −0.233 - −0.019, P=0.021) and weight-for-age (difference, −0.129, 95% CI −0.257 - −0.022, P=0.018) z scores. Multiparasitism had the strongest negative effects on growth (height-for-age, −0.289, 95% CI −0.441-−0.137, P<0.001; weight-for-age, −0.228, 95% CI - 0.379 - −0.077, P=0.003), with some evidence of greater effects with greater parasite numbers. Conclusion IPI infections and multiparasitism were frequent during early childhood in this Ecuadorian cohort. IPI was associated with reduced weight, height, and hemoglobin trajectories while children with multiparasitism showing the greatest growth deficits. Our data highlight the adverse health childhood effects of multiparasitism in endemic settings and the need for integrated programmes of control and prevention to eliminate associated morbidity. Author Summary Intestinal parasite infections (IPI) and co-infections with several parasite species (multiparasitism) are considered to cause significant disease among young children in low and middle-income countries (LMICs), and elimination of mortality and morbidity attributable to IPI among preschool children by 2030 has been prioritized by WHO. We followed a random sample of children from a birth cohort to 8 years of age in a rural area of coastal Ecuador for the acquisition of IPI with parasite detection being done using highly sensitive molecular methods. Almost all children acquired IPI during follow-up and approximately half had multiparasitism by 8 years. Risk of multiparasitism was associated with indicators of marginalisation (Afro-Ecuadorian ethnicity and peri-urban residence), household poverty (low household income), exposure to other children inside (being lower in the birth order) and outside (day care attendance) the household, and parasite infections among household members. IPI during childhood was associated with reduced growth (height and weight), and lower hemoglobin levels, while children with multiparasitism suffered the greatest growth deficits. There remains a need for the implementation of integrated control strategies including access to clean water and improved sanitation, health education, and preventive chemotherapy that could target whole communities to reduce the infection reservoir. Preventive chemotherapy with broad-spectrum broad-spectrum drugs (e.g. nitazoxanide) with anthelmintic and antiprotozoal effects, even if targeted only to pre-school and school-age children and women of child-bearing age, could improve growth during childhood in marginalized populations living in endemic settings. Introduction Intestinal parasites infections (IPI) including soil-transmitted helminths ( Ascaris lumbricoides , Trichuris trichiura , and hookworms [ Necator americanus and Ancylostoma duodenale ] and protozoa (primarily Giardia lamblia , Entamoeba histolytica , and Cryptosporidium spp.), have a worldwide distribution, and represent a significant public health challenge in many low and middle-income countries (LMICs), particularly those with tropical and subtropical climates [ 1 , 2 ]. IPI are transmitted through contaminated soil, water, and food in regions with inadequate access to sanitation and potable water [ 3 ]. These parasitic infections are associated with malnutrition, anemia, impaired cognitive and physical development, and decreased productivity in affected populations [ 4 , 5 ]. Children and marginalized communities are especially vulnerable to infection, perpetuating a cycle of poverty and disease [ 2 ]. Intestinal parasitic infections are estimated to infect 3.5 billion humans [ 5 ]. More than 1.5 billion are estimated to be infected with STH parasites causing 4.98 million DALYs [ 6 ], and about 300 millions suffer severe morbidity [ 7 ]. Concurrent infections with more than 1 parasite species are commonly observed [ 8 , 9 ], and individuals with these multiparasitic infections tend to harbor more intense infections [ 10 , 11 ]. Even low intensity of multiparasitic infections may result in clinically significant morbidity [ 12 , 13 ]. WHO has prioritized the elimination of mortality and morbidity related to IPI among preschool children by 2030 [ 14 ]. Although the Ecuadorian government has made efforts to combat STH through mass drug administration (MDA) programs, the disease burden remains high, particularly among rural marginalized communities [ 15 , 16 ], and there are no programs for the control of endemic enteric protozoal pathogens. A better understanding of the epidemiology of IPIs and multiparasitism in Ecuador will be important for the design of better-targeted control strategies, as well as assessing the impact of current control efforts. More sensitive molecular methods such as quantitative PCR, a platform that has been previously validated in this and other settings [ 9 , 17 ], provide useful tools with which to improve parasite detection and evaluate the impact of these infections on childhood growth and nutrition. There are few studies of the epidemiology of IPIs and multiparasitism from Latin America that consider infections with STH and protozoal pathogens using highly sensitive molecular methods for detection, and which evaluate the potential impact of IPIs and multiparasitism on early childhood growth and anemia. In the present study, we used molecular methods to analyze longitudinally collected stool samples from a sub-sample of a birth cohort to detect IPIs to understand better their epidemiology and risk factors in this setting during the first 8 years of life and evaluate their impact on growth and nutrition. Methods Ethics statement The study protocol was approved by the ethics committees of the Hospital Pedro Vicente Maldonado (2005), Universidad San Francisco de Quito (2010), and Baylor College of Medicine, H-33219 (2013). Informed written consent was obtained from the child’s mother for collection of stool samples and data. Individuals with positive stools for soil-transmitted helminth infections were treated with a single dose of albendazole if aged 2 years or greater and with pyrantel pamoate if aged <2 years, according to Ecuadorian Ministry of Public Health recommendations [ 18 ]. Anti-protozoal treatments (metronidazole or tinidazole) were offered to symptomatic children with E. histolytica or G. lamblia trophozoites in fresh stool samples. Study area and population Detailed methodology of the study objectives, design, follow-up and sample and data collection for the ECUAVIDA cohort study is provided elsewhere [ 19 ]. Briefly, the ECUAVIDA cohort was a population-based birth cohort of 2,404 newborns whose families lived in the rural district of Quinindé, Esmeraldas Province, and were recruited around the time of birth at the Hospital Padre Alberto Buffoni in the town of Quinindé between November 2005 and December 2009. This population-based cohort was designed to study the effects of early life infections on the development of allergy and allergic diseases in childhood. The present analysis focused on a random sample of 400 children with stool samples collected at 13 months of age. The district of Quinindé is largely agricultural where the main economic activities relate to the cultivation of African palm oil and cocoa. The climate is humid tropical with temperatures generally ranging 23-32°C with yearly rainfall of around 2000-3000mm. Inclusion criteria into the cohort were being a healthy baby, collection of a maternal stool sample, and planned family residence in the district for at least 3 years. Study design and sample collection Children were followed-up from birth to 8 years of age with data and stool samples collected at 3, 7, and 13 months, and 2, 3, 5, and 8 years of age. Follow-ups were done either by scheduled visits to a dedicated clinic at HPAB or by home visits. At the initial home visit, a questionnaire was administered to the child’s mother by a trained member of the study team to collect data on potential risk factors [ 19 ]. Maternal questionnaires were repeated at 7 and 13 months and 2, 3, 5, and 8 years of age. Anthropometric and nutritional measurements Anthropometric measurements were done as described [ 20 ]. Briefly, first measurements of weight and height were done between birth and 2 weeks of age and then repeated periodically during clinic and home visits at 7, 13, 24, 36, 60, and 96 months. At each observation time, length/height (cm) and weight (kg) were measured in duplicate by trained members of the research team. Children were weighed without clothes or with light underwear on portable electronic balances (Seca, Germany) accurate to within 100 grams. Length/height measurements were done using wooden infantometers/stadiometers to within 0.1 cm. Z scores for weight-for-age (WAZ), height-for-age (HAZ) and body mass index-for-age (BAZ) at each observation time were calculated using WHO growth standards [ 21 ]. Hemoglobin levels (g/dL) were derived from haematocrits obtained following the centrifugation of capillary blood using standard laboratory procedures. Anemia was defined as less than 11 g/dL. Stool examinations Stool samples were collected from household members around the time of birth of the cohort child. Samples were examined using four microscopic techniques to detect and/or quantify STH eggs and larvae including direct saline wet mounts, formol-ether concentration, modified Kato-Katz, and carbon coproculture [ 22 ]. All stool samples were examined using all 4 microscopic methods where stool quantity was adequate. A positive sample for STH was defined by the presence of at least one egg or larva from any of the above detection methods. Molecular analyses for intestinal parasite infections An aliquot of stool was preserved in 90% ethanol at −30°C for molecular analyses. Samples were processed using FastDNA SPIN Kit for Soil (MP Biomedicals, Santa Ana, California, USA). Stool DNA was analysed by multi-parallel quantitative real-time polymerase chain reaction (qPCR) to detect Ascaris lumbricoides , Trichuris trichiura , Ancylostoma spp., Necator americanus , Strongyloides stercoralis , Giardia lamblia, Entamoeba histolytica, and Cryptosporidium spp. [ 9 ]. All reactions were performed in duplicate and a total volume of 7μL containing 3.5μL of TaqMan fast mix (Applied Biosystems, Waltham, MA), 2μL of template DNA, and 1.5μL of primers (final concentration of 900nM) and FAM-labelled minor groove binder probe (final concentration of 250nM). All extractions included a positive control (diluted plasmid standards), a negative control (no template), and 1 μl of internal amplification control (IAC) plasmid at a concentration of 100 pg/μl, containing a unique 198-bp sequence and detected by qPCR using PCR primers and probe sequences as described [ 23 ]. Positive qPCR were considered on concordant duplicate samples with cycle thresholds (Ct) under 38 as previously [ 9 ]. Statistical analysis Potential risk factors considered included individual (for participant child - sex, age, birth delivery, birth order, duration of breast feeding, day care attendance during first 3 years of life, and anthelmintic treatments), maternal (age, educational status, and ethnicity), and household (socioeconomic status, area of residence, overcrowding, monthly income, construction materials, material goods [fridge, TV, radio, and HiFi], type of bathroom, pets, agricultural activities, and STH infections in household members). Socioeconomic variables were combined to create a socio-economic status (SES) index by using principal components analysis for categorical data as described [ 22 ]. The presence or absence of any IPI, any STH, and any intestinal protozoal infection from 3 months to 8 years defined the main longitudinal binary outcomes. Stool sample collections were done periodically as described with some time variation although for analyses purposes these were generically considered as 7, 13, 24, 36, 60 and 96 months of age. We used generalized estimation equations models (GEE) to fit population-averaged models [ 24 ] to understand the effects of age, childhood, parental and household characteristics, and household STH infections (any member, parents, and siblings) on the age-dependent risk of acquiring IPIs (or any STH or any protozoa) during childhood. Binary random effects models were also considered [ 24 , 25 ]. We used the assumption of an unstructured correlation structure [ 24 – 26 ] and, for the sake of simplicity and given that our questions were addressed at the population level, we have presented and commented on population average estimates only. Associations and their uncertainties were measured by odds ratios (OR) and their corresponding 95% confidence intervals (CIs). ORs derived from these longitudinal models estimated associations between potential explanatory variables and the age-dependent risk of parasite infection outcomes. Minimally adjusted models (for age and its nonlinearities reflected by terms of higher powers) investigated the sole association of each factor on IPI outcomes. Multivariable models were subsequently built using variables with P<0.1 in minimally adjusted models and the smallest associated quasi-likelihood value under the independence model criterion (QIC) for GEEs [ 26 , 27 ] on a complete data sample. The final most parsimonious model using a complete data sample was fit back to the original data on as many observations as possible. Because longitudinal cohorts are subject to attrition at follow-up, we analysed patterns in missing data for IPIs and did sensitivity analyses. GEE estimations were based on the missing completely at random assumption [ 26 , 28 ]. Random effects, based on maximum likelihood estimation, were also fit under missing at random assumption [ 26 , 28 ] and tended not produce very different estimates in terms of ORs or their standard errors [ 26 , 27 ]. Predictions for age-dependent risk of any IPI, any STH, and any intestinal protozoal infection were displayed against raw data. All estimates were age-adjusted and accounted for the hierarchical structure of outcomes. We used longitudinal panel data analysis [ 26 ] to explore the longitudinal effects of any IPI, multiparasitism, any STH, and any intestinal protozoal infection on parameters of growth (using z-scores for WAZ and HAZ as continuous longitudinal outcomes), nutrition (hemoglobin - continuous and anemia -binary), and presence of eosinophilia (binary, defined as >= 500 cells/μL) during childhood. The assumption is that the time-varying covariates remain constant during a panel time span. The GEE and mixed modelling estimation yielded similar findings. Predictions for z-scores overall and by the variables which displayed most marked differences were plotted against age. Statistical significance was inferred by P<0.05. All statistical analyses were done using Stata version 17 (StataCorp, College Station, TX, 2021). Results Sample analysis We analysed 2,005 stool samples collected periodically from 401 children between 3 months and 8 years of age (3 [211], 7 [267], 13 [400], 24 [274], 36 [218], 60 [321], and 96 [314] months). Median number of stool samples analysed per child was 4 (Q1-Q3, 3-5). Age-dependent risk of IPIs and multiparasitism The proportion of samples collected that were positive for each parasite during the first 8 years of life are shown in Fig 1A for STH and Fig 1B for intestinal protozoa. During follow-up, 91.3% of children had an infection with any IPI documented at least once with equivalent frequencies for any STH and any protozoa being 51.6% and 87.3%, respectively (Table S1). Peak risk and age of peak for the different parasites were: A. lumbricoides (16.9% at 8 years), T. trichiura (24.5% at 8 years), Ancylostoma spp. (4.5% at 8 years), N. americanus (0.9% at 3 years), S. stercoralis (5.1% at 3 years), G. lamblia (65.6% at 8 years), Cryptosporidium spp. (5.9% at 2 years), and E. histolytica (7.4% at 8 years). Age-dependent risk of infection with any IPI, any STH infection, and any protozoal infection are shown in Fig 2A-C . Similar patterns were observed for the 3 outcomes with rapid acquisition of infections during the first 2 years of life after which infection risk reached a plateau with a slight decrease at 5 years. Peak risk of any STH, any protozoa, and any IPI was 34.4%, 68.0%, and 69.5%, respectively, at 8 years of age. Age-dependent risk of infection with multiple parasites (>=2 different) species is shown in Fig 2D and indicated that multiparasitic infections were acquired more slowly with increasing age reaching 32.5% by 8 years. Download figure Open in new tab Fig 1. Age-dependent proportions of positive samples for soil-transmitted helminth (STH) (A) and protozoal (B) parasites from 7 months to 8 years of age in 401 children from a birth cohort. STH were Ascaris lumbricoides , Trichuris trichiura , Ancylostoma spp ., Necator americanus , and Strongyloides stercoralis . Protozoal parasites were Giardia lamblia, Cryptosporidium spp., and Entamoeba histolytica . Download figure Open in new tab Fig 2. Age-dependent predicted risk of infection with intestinal parasites from 7 months to 8 years of age in 401 children from a birth cohort. A – Any intestinal parasite (Parasite) infection. B-any soil-transmitted helminth (STH) parasite. C – any intestinal protozoal (Protozoa) parasite. D – Multiparasitism. Estimated curves and 95% Confidence intervals (dotted lines) are shown against the raw data. Factors associated with age-dependent risk of IPI and polyparasitism Age-dependent risk for any IPI, STH, and intestinal protozoal infections predicted by the longitudinal models against observed proportions are shown in Fig 2 . Predictions were close to observed values – observed values were included in the 95% CIs of the predictions except for any STH and IPI at 7 months. Descriptive statistics for distributions of individual, parental, and household characteristics by any IPI, any STH, and any protozoal infections are provided in Table S1. Age-adjusted and multivariable associations between these factors and average risk of any IPI infection during childhood are shown in Table 1 . Age-adjusted and multivariable associations for any STH or any protozoal infections are shown in Tables S2 and S3, respectively. In multivariable analyses, factors significantly associated with greater risk of IPI during childhood included being lower in the birth order (≥5 th vs. 1 st -2 nd ), maternal Afro-Ecuadorian ethnicity, and maternal STH infections. Different patterns of risk factors were associated with any STH and any protozoal infection in multivariable models (Tables S1 and S2): any STH was associated with maternal Afro-Ecuadorian ethnicity, household overcrowding and agricultural exposure, while any protozoa were associated with being lower in the birth order, daycare and urban residence. Both outcomes were positively associated with caesarean birth delivery and maternal STH infections. Models that adjusted for any STH or any protozoa in the respective multivariable models with any protozoa and any STH as outcomes showed significant associations for the corresponding exposure (effect of any STH on any protozoa, adj. OR 2.39, 95% CI 1.80-3.17, P<0.001); effect of any protozoa on any STH, adj. OR 2.65, 95% CI 1.88-3.75, P<0.001). We examined factors associated with multiparasitism stratified as an ordinal multivariate outcome (i.e., 0, 1, 2, and ≥3 IPIs). Age-adjusted and multivariable analyses are shown in Table 2 . In these models, a single OR represents all comparisons for 3 vs. 0-2, 2-3 vs. 0-1, and 3-1 vs. 0 IPIs. In multivariable analyses, factors significantly associated with an increasing number of IPIs in the same individual were being lower in the birth order (>=5 th vs. 1 st -2 nd ), day care, maternal Afro-Ecuadorian ethnicity, urban residence, lower household income, and maternal STH infections. Any protozoal infection was strongly associated with any STH infection (as outcome) in a multivariable model (adj. OR 2.65, 95% CI 1.88-3.75, P<0.001) and vice versa (adj. OR 2.39, 95% CI 1.80-3.17, P<0.001). View this table: View inline View popup Download powerpoint Table 1. Age-adjusted and multivariable estimates of associations for child, maternal, and household factors with any intestinal parasite infection from 7 months to 8 years of age. View this table: View inline View popup Download powerpoint Table 2: Age-adjusted and multivariable estimates of associations for child, maternal, and household factors with multiparasitism defined as an ordinal longitudinal outcome (0, 1 and ≥2 infections) from 7 months to 8 years of age. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated by fitting (age, age 2 , age 3 and age 4 - not shown) - adjusted longitudinal models using generalized estimating equations. Longitudinal binary outcomes were defined by presence/absence of any IPI detected in stool samples from children during follow-up. Population-average models were fit under missing completely at random assumption for unobserved data points. Characteristics are at time of birth of child (birth) or time-varying (TV) over the course of follow-up. STH—soil-transmitted helminth infections. Afro-Afro-Ecuadorian. Anthelmintic treatments—maternal reports of at least one anthelmintic treatment during the previous year. Monthly household income was classified according to receipt of an income sufficient to meet the basic needs of 4 persons (or 1 family basket) or US$480 in 2008. Household overcrowding was defined as 3 or more people per sleeping room. Agricultural exposures were defined by living on a farm or having at least weekly visits to a farm. Any infected with STH in the household represented any member of the child’s household with a positive stool sample collected around the time of birth of the cohort child. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated by fitting (age, age 2 , age 3 , age 4 , age 5 , last two estimates not shown) adjusted ordinal longitudinal models using generalized estimating equations. The ORs represents the effects of each variable on the odds of having >=2, >=1 infections vs the lower category, namely <2, <1, respectively. Longitudinal ordinal logistic models were fit under missing completely at random assumption for unobserved data points. Characteristics are at time of birth of child (birth) or time-varying (TV) over the course of follow-up. STH—soil-transmitted helminth infections. Afro-Afro-Ecuadorian. Anthelmintic treatments—maternal reports of at least one anthelmintic treatment during the previous year. Monthly household income was classified according to receipt of an income sufficient to meet the basic needs of 4 persons (or 1 family basket) or US$480 in 2008. Household overcrowding was defined as 3 or more people per sleeping room. Agricultural exposures were defined by living on a farm or having at least weekly visits to a farm. Any infected with STH in the household represented any member of the child’s household with a positive stool sample collected around the time of birth of the cohort child. Effects of IPIs and multiparasite infections on childhood growth trajectories Age-adjusted and multivariable associations between infections with any IPIs, any STH, and any protozoa and growth trajectories are shown in Table S4 and Table 3 , respectively. In multivariable analyses, the group of children infected with any IPI or any STH had significantly lower height-for-age (HAZ) and weight-for-age (WAZ) z core trajectories during the first 8 years of life compared to the group without infection ( Fig 3A-B and Fig 4A-B ). For any protozoa infection, there was a significant effect on HAZ ( Fig 3C ) while the effect on WAZ was borderline significant ( Fig 4C ). Similarly, significantly lower HAZ and WAZ trajectories were seen for the group of children with multiparasitism (>=2 infections vs. 0 infections) with evidence of greater reductions in HAZ and WAZ with greater number of parasite species ( Fig 3D and Fig 4D ), particularly for HAZ. In multivariable analyses, any IPI was associated with significantly reduced trajectories of WAZ and HAZ, while multiparasitism (>=2 vs. 0) was associated with significantly reduced WAZ and HAZ. Significant rates of stunting (HAZ z scores <=-2) were present in the cohort reaching 15.2% at 24 months of age (Fig S1A) - there was some evidence of increased stunting among children with STH infections (Fig S1C) or with multiparasitism (Fig S1D), although these were not statistically significant (data not shown). Sensitivity analyses for missing values for parasite data for estimates of effect on WAZ and HAZ showed very similar effects between models (data not shown). View this table: View inline View popup Download powerpoint Table 3. Multivariable associations of any parasite infection (IPI), any soil-transmitted helminth infection (STH), or any protozoa infection with longitudinal weight-for-age and height-for age z scores. Download figure Open in new tab Fig 3. Effects of intestinal parasite infections on trajectories of height-for-age z scores during childhood up to 8 years. A – Any intestinal parasite (Parasite) infection. B-any soil-transmitted helminth (STH) parasite. C – any intestinal protozoal (Protozoa) parasite. D – Multiparasitism. Y axes show z scores. Interrupted curves represent 95% confidence intervals. Download figure Open in new tab Fig 4. Effects of intestinal parasite infections on trajectories of weight-for-age z scores during childhood up to 8 years. A – Any intestinal parasite (Parasite) infection. B-any soil-transmitted helminth (STH) parasite. C – any intestinal protozoal (Protozoa) parasite. D – Multiparasitism. Y axes show z scores. Interrupted curves represent 95% confidence intervals. The estimates and their 95% confidence intervals (CI) are adjusted for age, age 2 , age 3 , and age 4 and childhood, maternal, and household factors as explained in Methods using generalized estimating equations for normally distributed longitudinal growth outcomes. Models fit under missing completely at random assumption for unobserved data points. Estimates represent the adjusted average differences in z-scores between positive and negative children for IPI, any protozoa, any STH, and multiparasitism evaluated at the same time. Effects of IPIs and multiparasite infections on childhood anemia and hemoglobin levels Age-adjusted and multivariable associations between infections with any IPIs, any STH, and any protozoa and anemia or hemoglobin levels in Table S5 and Table 4 , respectively. In multivariable analyses, we did not observe significant effects of parasite infections on the risk of anemia. View this table: View inline View popup Download powerpoint Table 4. Multivariable associations of any parasite infection (IPI), any soil-transmitted helminth infection, or any protozoa infection with longitudinal risk of anaemia (defined as <11 g/dL) and hemoglobin levels (g/dL) between 7 months and 8 years of age. ORs/estimates measure adjusted associations between presence/absence of infection when evaluated at the same time as anemia/hemoglobin (current infections) or at the previous observation time (previous infections) during follow-up. However, any IPI was associated with significantly reduced hemoglobin over follow up (Fig S2A). When we considered previous infections as potential determinants of current hemoglobin levels, any STH was significantly associated with reduced hemoglobin trajectories ( Table 4 ). Sensitivity analyses for missing values for parasite data for estimates of effect on hemoglobin showed very similar effects between models (data not shown). Estimates show adjusted effects of current (measured at same time as hemoglobin) and represent the adjusted average difference in haemoglobin levels between positive and negative (for infections) children evaluated at the time of haemoglobin measurement or on the previous occasion. Estimates (ORs) and 95% confidence intervals (CI) for anemia were estimated by fitting age and age 2 -adjusted models using generalized estimating equations tailored to binary longitudinal data. Models were adjusted for childhood, maternal, and household factors as explained in Methods, and were fit under missing completely at random assumption for unobserved data points. Effects of IPIs and multiparasite infections on childhood eosinophilia Age-adjusted and multivariable associations between any IPIs, any protozoa, and any STH and childhood trajectories of eosinophilia are shown in Tables S6 and S7, respectively. In multivariable analyses, current infections with any IPI (Fig S2A), any STH (Fig S2B), and any protozoa (Fig S2C) were significantly associated with trajectories for presence of eosinophilia (Table S7). Interestingly, previous infections with any STH were also significantly associated with (current) eosinophilia, while there was no evidence to suggest a similar effect for previous IPI or protozoa. Discussion In the present study, we explored determinants of intestinal parasite infections and multiparasitism (or polyparasitism) and the effects of these infections during childhood on growth and nutrition. To do this we used data from a random sample of children nested within a population-based birth cohort that was recruited in a rural coastal district in Ecuador. We used highly sensitive molecular methods (multi-parallel quantitative real-time PCR ) to detect infections with intestinal parasites including those soil-transmitted helminths and protozoa that have been shown to be endemic in this setting previously [ 9 , 16 , 29 ]. Our data showed a high prevalence with both STH and intestinal protozoal parasites after the first year of life and the gradual acquisition of multiparasitism which affected the majority children from around 3 years of age. IPIs and multiparasitism were more frequent among children of Afro-Ecuadorian ethnicity living in less affluent and STH-infected households, and among those attending day care, all indicating the role of poverty and exposure to contaminated environments in determining infection risk during childhood. Childhood IPIs were associated with reduced height and weight trajectories during the first 8 years of life, particularly among those children with multiparasitism. We did not detect effects of IPIs on childhood anemia but did observe lower hemoglobin levels among infected children. Overall, our data show that IPIs and multiparasitism are frequent during childhood in an endemic region of coastal Ecuador and that these infections are associated with reduced growth trajectories and impaired nutrition. Although a third of the world population has been estimated to have intestinal parasites [ 5 ] frequently with multiple parasite species, there are limited data from longitudinal studies on determinants of multiparasitism and their effects on growth and nutrition in children. Among IPIs, STH infections are rarely fatal but have been associated with chronic undernutrition causing impaired growth and iron-deficiency anemia [ 3 , 30 ]. The most widely used indicator for chronic malnutrition is the presence of stunting, representing a failure in linear growth, caused by a lack of access to and/or absorption of sufficient quantities of specific nutrients during childhood [ 31 , 32 ]. Linear growth is largely determined between 6 and 24 months of age [ 33 ], the age range most affected any mismatch between nutritional demands and nutrient supply [ 34 , 35 ]: in this study, average HAZ z scores were lowest at 2 years, and the group most affected by low HAZ z scores were children with multiparasitism. IPI may affect childhood growth and nutrition may be caused by anorexia, intestinal bleeding, malabsorption, chronic diarrhea, and competition for nutrients [ 36 – 38 ]. Exposures to IPI and other enteric pathogens [ 39 ] may cause chronic activation of gut immune cells, resulting in environmental enteric dysfunction (EED) [ 35 ]. EED is characterized by gut mucosal cell villous atrophy, crypt hyperplasia, increased permeability and inflammatory cell infiltration, and microbial dysbiosis [ 35 ]. Chronic EED is considered to contribute to chronic undernutrition and in combination with repeated infections causes nutrient malabsorption resulting in wasting, stunting, and anemia [ 35 ]. Among IPI, A. lumbricoides and G. lamblia are considered important causes of undernutrition in under-5s [ 5 , 30 ], while T. trichiura may contribute to iron-deficiency anemia through its direct effects on mucosal bleeding in the large intestine [ 30 ]. Further, multiparasitism and higher parasite burdens with individual parasites likely increase the risk of clinically relevant undernutrition. Previous studies have shown IPI to be associated more strongly with stunting than wasting (i.e. weight-for-age z score <=2 SD) reflecting the importance of the long-term nutritional effects of chronic parasitism [ 5 ]. Similarly, in this study we observed greater effects of IPI on HAZ compared to than WAZ z scores. A previous systematic review estimated that IPIs were associated with 2.5-times greater odds of stunting, particularly infections through with A. lumbricoides , E. histolytica and, G. lamblia [ 5 ]. Evidence for a role of STH in causing stunting remains controversial [ 40 ]. Certainly, individual observational studies have reported reduced linear growth being associated with infections with A. lumbricoides [ 41 , 42 ] and T. trichiura [ 41 , 42 ], particularly moderate to heavy infection burdens [ 14 , 43 , 44 ] or co-infections with both parasites [ 45 ], but the potential for confounding by unmeasured causal factors remains a problem. A recent systematic review of randomized trials and observational studies did not provide strong evidence for improved growth among children receiving anthelmintic treatment [ 40 ]. However, the findings of systematic reviews [ 40 , 46 ] have been criticized because of the age groups studied (i.e. only 2 published studies of under-5s [ 47 , 48 ], relatively short follow-up period to observe chronic nutritional effects (e.g., follow-up periods generally 1 year or less are unlikely to show effects on linear growth), and the dilutional effects of treating both infected and uninfected children. Our study, that unusually covered not only the critical period for linear growth (i.e., 6 to 24 months) but also the whole of early childhood to school age, therefore, provides novel evidence for an effect of IPI on linear growth although the relatively small sample size did not allow us to determine parasite species-specific effects. Asymptomatic G. lamblia infection has been associated with reduced linear growth in under-5s previously [ 29 , 49 , 50 ]. We did observe stronger effects of STH than protozoal infections on linear growth deficits although the strong association between the STH and protozoal parasites made it difficult to distinguish independent effects. Impaired linear growth and stunting is associated with reduced physical and cognitive growth [ 51 ] with long-term effects not only on individuals through lower levels of schooling and household income [ 52 ], but also societies through decreased national economic output [ 51 , 53 ]. We measured hemoglobin levels and anemia as an indicator for micronutrient deficiency - in this case iron deficiency. We were unable to detect effects of IPIs on childhood anemia but did observe lower hemoglobin levels among infected children but with no evidence of a greater effect of multiparasitism compared to monoparasitism. Interestingly, there was some evidence that previous STH but not protozoal infections might predict hemoglobin levels over the course of follow-up. STH may reduce hemoglobin levels either through direct blood loss from the intestinal surface (e.g hookworm and T. trichiura ) [ 3 , 30 ], through impaired iron absorption in the context of a deficient diet (perhaps, A. lumbricoides [ 54 ]), or through effects in promoting mucosal and systemic inflammation (many IPI and STH pathogens). Meta-analyses of randomized and quasi-randomized trials of anthelmintic drugs have failed to show significant effects of STH parasites on rates of anemia [ 46 , 55 ]. However, there was some evidence for an effect on anemia from studies done in Sub-Saharan Africa where hookworm prevalence is greater [ 55 ]. Hookworm prevalence was low in this birth cohort but our analysis of the effect of STH on hemoglobin levels likely allowed us to detect more subtle effects of these parasites on host morbidity. Numerous epidemiological studies have estimated IPI prevalence in pre-school and school age children in different populations. A recent meta-analysis of 83 studies of IPI done between 1996 and 2019 in pre-school and school age children in Ethiopia estimated a prevalence of 48% with 16% of infections being multiparasitic [ 56 ]. A meta-analysis of 32 studies of IPI prevalence in Brazilian children between 2000 and 2018 estimated an overall prevalence of 46% with the greatest prevalence (58%) in the country’s poorest North region with no specific data being provided for rates of multiparasitism [ 57 ]. Almost all these studies used microscopic detection methods likely to underestimate prevalence compared to more sensitive molecular methods. A previous study of children aged 3 to 11 years in rural communities in the Provinces of Chimborazo and Guayas in Ecuador estimated a prevalence of 63.2% by microscopy [ 58 ]. In this longitudinal study, we detected maximal prevalence of IPI of 69.5% at 8 years age at which age rates of multiparasitism were 32.5%. Important risk factors for IPI from previous studies include rural residence, low household income, having illiterate parents, household overcrowding, and lack of access to potable water and sanitation [ 5 , 58 ]. Here, risk factors for IPI included being lower in the birth order (i.e., having more older siblings), Afro-Ecuadorian ethnicity (here indicating a marginalized population group), and having an STH-infected mother (likely indicator for infection risk within the household). Some risk factors for STH and protozoal infections were shared (i.e., vaginal delivery and maternal STH), while other were distinct for STH (i.e., Afro-Ecuadorian ethnicity, overcrowding, and agricultural exposures) and protozoal infections (male sex, lower in birth order, day care, and urban residence). In this setting, urban residence generally reflected a peri-urban household built in informal settlements at the growing periphery of a town with limited access to basic services. Sanitation was not specifically associated with IPI risk, possibly because of a lack of heterogeneity in this exposure in our study population representing the poorest segment of the population dependent on public provision for health care. Strengths and limitations There are few longitudinal studies of IPIs in infants and pre-school children, the groups most vulnerable to nutritional effects of enteric parasites, from any region. We were able to evaluate the effects of these infections, both individually and as multiparasitic infections, on growth and nutritional indices during the first 8 years of life. Further, we used molecular detection methods sufficiently sensitive to detect light infections that are common in infants and pre-school children [ 59 ]. The study of a population in a setting where other systemic helminth and protozoal pathogens are largely absent allowed us to more clearly evaluate the effects of enteric polyparasitism on study outcomes. The collection of data on a wide variety of relevant individual, maternal, and household factors including an indicator for IPI infection risk (i.e. presence of STH infections in household members around the time of the child’s birth) allowed us to control for confounding although we cannot exclude residual confounding by unmeasured factors. The prevalence of stunting in this birth cohort sub-sample was probably too low to allow us to show significant effects of IPI or parasite sub-groups on this outcome. The lower rate of stunting compared to national estimates in Ecuador in 2014 of 25.3% [ 60 ] is likely explained by improved health in cohort members through regular contacts with health professionals in the study clinic – benefits included monitoring of nutritional supplement intake (provided free by the public health system) and anti-parasite treatments for positive stool samples. Frequent antiparasitic treatments will have reduced prevalence and intensity of IPI and our ability to detect effects on growth. We separated IPIs into those caused by STH and protozoal parasites, but again because of relatively small numbers were unable to explore parasite-parasite interactions, effects of specific parasites, or effects of infection burdens with individual parasites. The dominant STH infections in this setting were A. lumbricoides and T. trichiura while the dominant protozoal parasite was G. lamblia – observed associations for or effects by STH and protozoal parasites can therefore be explained largely by these 3 parasites. Conclusion We followed a random sample from a birth cohort to 8 years in an area of Ecuador endemic for IPI and monitored the acquisition of IPI and multiparasitism during childhood using multi-parallel quantitative real-time PCR, and evaluated their effects on growth and nutritional outcomes. IPI and multiparasitism during childhood were associated with indicators of poverty and household risk of STH. IPI was associated with lower HAZ and WAZ and hemoglobin levels during childhood. There was evidence for stronger effects on growth outcomes of multiparasitic compared to monoparasitic or absent infections. Previous STH infections appeared to more strongly predict lower hemoglobin levels and the presence of eosinophilia than did protozoal infections. Our data provide evidence of a high endemicity of IPI during childhood in this tropical setting, of their adverse effects on growth and nutrition during childhood, effects that were generally more pronounced in children with multiparasitic infections. This study helps fill an unmet need for data on the health impact of IPI and multiparasitism in under-5s. Future larger studies could explore effects on growth and nutrition of individual parasite species and interactions between them, as well as the impact of regular antiparasitic treatments with broad spectrum drugs (e.g. nitazoxanide) with anthelmintic and antiprotozoal effects, on growth and nutritional outcomes during childhood. Improved mapping of high-endemicity communities for IPI, where targeted or community-wide antiparasitic treatments could be focused, would enhance the impact of this strategy. Data Availability All relevant data are within the paper and its Supporting Information files. Financial Disclosure Funding for this study was provided in part by the Wellcome Trust, London, United Kingdom (WT 088862/Z/09/Z); Baylor College of Medicine Center for Globalization Pilot Project and an Early Career Thrasher Research Fund award (#12011); and Universidad Internacional del Ecuador, Quito, Ecuador (Grant No. UIDE-EDM01-2015). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Supporting information S1 Table. Descriptive statistics for frequences of infections with any STH, any protozoa, and any parasite in 401 children according to categories of childhood, maternal, and household factors. Summaries are made upon ever/never infected to preserve the independence of the observations. Infection frequencies represent any infection identified during follow-up from 7 months to 8 years of age. Frequencies for categories of time-varying variables represent data recorded at birth. Characteristics are at time of birth of child or time-varying (TV) over the course of follow-up. STH—soil-transmitted helminth infections. Afro-Afro-Ecuadorian. Anthelmintic treatments—maternal reports of at least one anthelmintic treatment during the previous year. Monthly household income was classified according to receipt of an income sufficient to meet the basic needs of 4 persons (or 1 family basket) or US$480 in 2008. Household overcrowding was defined as 3 or more people per sleeping room. Agricultural exposures were defined by living on a farm or having at least weekly visits to a farm. Any infected with STH in the household represented any member of the child’s household with a positive stool sample collected around the time of birth of the cohort child. S2 Table. Age-adjusted associations between child, maternal, and household factors with infections with any soil-transmitted helminth (STH) or protozoal parasite from 7 months to 8 years of age. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated by fitting age, age2, and age3-adjusted longitudinal models using generalized estimating equations. Longitudinal binary outcomes were defined by presence/absence of any STH or any protozoa detected in stool samples from children during follow-up. Models were fit under missing completely at random assumption for unobserved data points. Characteristics are at time of birth of child (birth) or time-varying (TV) over the course of follow-up. STH—soil-transmitted helminth infections. Afro-Afro-Ecuadorian. Anthelmintic treatments—maternal reports of at least one anthelmintic treatment during the previous year. Monthly household income was classified according to receipt of an income sufficient to meet the basic needs of 4 persons (or 1 family basket) or US$480 in 2008. Household overcrowding was defined as 3 or more people per sleeping room. Agricultural exposures were defined by living on a farm or having at least weekly visits to a farm. Any infected with STH in the household represented any member of the child’s household with a positive stool sample collected around the time of birth of the cohort child. S3 Table. Multivariable associations between child, maternal, and household factors with infections with any soil-transmitted helminth (STH) or protozoal parasite from 7 months to 8 years of age. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated by fitting age, age2, and age3-adjusted longitudinal models using generalized estimating equations. Longitudinal binary outcomes were defined by presence/absence of any STH or any protozoa detected in stool samples from children during follow-up. Models were fit under missing completely at random assumption for unobserved data points. Characteristics are at time of birth of child (birth) or time-varying (TV) over the course of follow-up. STH—soil-transmitted helminth infections. Afro-Afro-Ecuadorian. Household overcrowding was defined as 3 or more people per sleeping room. Agricultural exposures were defined by living on a farm or having at least weekly visits to a farm. S4 Table. Age-adjusted associations of any parasite infection (IPI), any soil-transmitted helminth infection (STH), or any protozoa infection with longitudinal weight-for-age and height-for age z scores (g/dL). Estimates are adjusted for weight or length at birth, respectively. Estimates (ORs) and 95% confidence intervals (CI) were estimated by fitting age, age2, age3, and age4-adjusted longitudinal models using generalized estimating equations. Models were fit under missing completely at random assumption for unobserved data points. S5 Table. Age-adjusted associations of any parasite infection (IPI), any soil-transmitted helminth infection, or any protozoa infection with longitudinal risk of anemia and hemoglobin levels (g/dL) between 7 months and 8 years of age. Estimates show effects of current (measured at same time as hemoglobin) and previous (measured at previous time point) infections on longitudinal risk of anemia and average levels of hemoglobin. Estimates (ORs) and 95% confidence intervals (CI) were estimated by fitting age and age2-adjusted longitudinal models using generalized estimating equations. Models were fit under missing completely at random assumption for unobserved data points. S6 Table. Age-adjusted associations of any parasite infection (IPI), any soil-transmitted helminth infection, or any protozoa infection with longitudinal risk of eosinophilia between 7 months and 8 years of age. Estimates show effects of current (measured at same time as eosinophilia) and previous (measured at previous time point) infections on longitudinal risk of eosinophilia. S7 Table. Multivariable associations of any parasite infection (IPI), any soil-transmitted helminth infection, or any protozoa infection with longitudinal risk of eosinophilia between 7 months and 8 years of age. Estimates show effects of current (measured at same time as eosinophilia) and previous (measured at previous time point) infections on longitudinal risk of eosinophilia. S1 Fig. Effects of intestinal parasite infections on proportions of children with stunting during childhood up to 8 years. A – All children. B - Any soil-transmitted helminth (STH) parasite. C – Any intestinal parasite (Parasite) infection. D - Any intestinal protozoal (Protozoa) parasite. E – Multiparasitism. Y axes show proportions with stunting (defined as height-for-age z scores <=2). Interrupted curves represent 95% confidence intervals. S2 Fig. Effects of intestinal parasite infections on trajectories of hemoglobin (g/dL) during childhood up to 8 years. A – Any intestinal parasite (Parasite) infection. B-any soil-transmitted helminth (STH) parasite. C – any intestinal protozoal (Protozoa) parasite. D – Multiparasitism. Y axes show hemoglobin (g/dL). Interrupted curves represent 95% confidence intervals. S3 Fig. Effects of intestinal parasite infections on proportions of children with eosinophilia during childhood up to 8 years. A – Any intestinal parasite (Parasite) infection. B-any soil-transmitted helminth (STH) parasite. C – any intestinal protozoal (Protozoa) parasite. D – Multiparasitism . Y axes show proportions with eosinophilia (defined as >= 500 cells/μL). Interrupted curves represent 95% confidence intervals. S1 Data. Raw data used for analyses Acknowledgements We thank the ECUAVIDA study team for their dedicated work and the cohort mothers and children for their enthusiastic participation. We acknowledge the support of the Ecuadorian Ministry of Public Health and the Directors and Staff of the Hospital “Padre Alberto Buffoni”, Quinindé, Esmeraldas Province. References 1. ↵ WHO . Prevention and control of intestinal parasitic infections. Report of a WHO Expert Committee . World Health Organ Tech Rep Ser 1987 : 749 : 1 – 86 . OpenUrl PubMed 2. ↵ World Health Organization . Global Distribution and Prevalence of Soil Transmitted Helminth Infections ; World Health Organization Key Fact Sheet ; World Health Organization : Geneva, Switzerland , 2020 . 3. ↵ Jourdan PM , Lamberton PHL , Fenwick A , Addiss DG . Soil-transmitted helminth infections . Lancet 2018 ; 391 : 252 – 265 . OpenUrl CrossRef PubMed 4. ↵ Brooker S , Clements AC , Bundy DA . Global epidemiology, ecology and control of soil-transmitted helminth infections . Adv Parasitol 2006 ; 62 : 221 – 61 . OpenUrl CrossRef PubMed Web of Science 5. ↵ Fauziah N , Aviani JK , Agrianfanny YN , Fatimah SN . Intestinal Parasitic Infection and Nutritional Status in Children under Five Years Old: A Systematic Review . Trop Med Infect Dis 2022 ; 7 : 371 . OpenUrl PubMed 6. ↵ Pullan RL , Smith JL , Jasrasaria R , Brooker SJ . Global numbers of infection and disease burden of soil transmitted helminth infections in 2010 . Parasit Vectors 2014 ; 7 : 37 . OpenUrl CrossRef PubMed 7. ↵ WHO . Research priorities for helminth infections: technical report of the TDR disease reference group on helminth infections, Technical report series; no. 972 . Geneva : WHO ; 2012 . 8. ↵ Pullan R , Brooker S . The health impact of polyparasitism in humans: are we under-estimating the burden of parasitic diseases? Parasitology 2008 ; 135 : 783 – 94 . OpenUrl CrossRef PubMed Web of Science 9. ↵ Mejia R , Vicuña Y , Broncano N , Sandoval C , Vaca M , Chico M , et al. A novel, multi-parallel, real-time polymerase chain reaction approach for eight gastrointestinal parasites provides improved diagnostic capabilities to resource-limited at-risk populations . Am J Trop Med Hyg 2013 ; 88 : 1041 – 7 . OpenUrl Abstract / FREE Full Text 10. ↵ Brooker S , Miguel EA , Moulin S , Luoba AI , Bundy DA , Kremer M . Epidemiology of single and multiple species of helminth infections among school children in Busia District, Kenya . East Afr Med J 2000 ; 77 : 157 – 61 . OpenUrl PubMed Web of Science 11. ↵ Tchuem Tchuente LA , Behnke JM , Gilbert FS , Southgate VR , Vercruysse J. Polyparasitism with Schistosoma haematobium and soil-transmitted helminth infections among school children in Loum, Cameroon . Trop Med Int Health 2003 ; 8 : 975 – 86 . OpenUrl CrossRef PubMed Web of Science 12. ↵ Ezeamama AE , Friedman JF , Olveda RM , Acosta LP , Kurtis JD , Mor V , McGarvey ST . Functional significance of low-intensity polyparasite helminth infections in anemia . J Infect Dis 2005 ; 192 : 2160 – 70 . OpenUrl CrossRef PubMed Web of Science 13. ↵ Sorensen WC , Cappello M , Bell D , DiFedele LM , Brown MA . Poly-helminth infection in east guatemalan school children . J Global Infect Dis 2011 ; 3 : 25 – 31 . OpenUrl 14. ↵ Sustainable Development Solutions Network . Indicators and a Monitoring Framework . 2012 . Available online: https://indicators.report/targets/2-2/ (accessed on 10 March 2025 ). 15. ↵ Moncayo AL , Lovato R , Cooper PJ . Soil-transmitted helminth infections and nutritional status in Ecuador: findings from a national survey and implications for control strategies . BMJ Open 2018 ; 8 : e021319 . OpenUrl Abstract / FREE Full Text 16. ↵ Chis Ster I , Niaz HF , Chico ME , Oviedo Y , Vaca M , Cooper PJ. The epidemiology of soil-transmitted helminth infections in children up to 8 years of age: Findings from an Ecuadorian birth cohort . PLoS Negl Trop Dis 2021 ; 15 : e0009972 . OpenUrl PubMed 17. ↵ Benjamin-Chung J , Pilotte N , Ercumen A , Grant JR , Maasch JRMA , Gonzalez AM , et al. Comparison of multi-parallel qPCR and double-slide Kato-Katz for detection of soil-transmitted helminth infection among children in rural Bangladesh . PLoS Negl Trop Dis 2020 ; 14 : e0008087 . OpenUrl PubMed 18. ↵ Ministerio de Salud Publica del Ecuador . Atencion integrada a las enfermedades prevalentes de la Infancia: cuadros de procedimientos . Direccion de Promocion y Atencion Ecuador: Integral de Salud . 2011 . 19. ↵ Cooper PJ , Chico ME , Platts-Mills TA , Rodrigues LC , Strachan DP , Barreto ML . Cohort Profile: The Ecuador Life (ECUAVIDA) study in Esmeraldas Province, Ecuador . Int J Epidemiol 2014 ; 44 : 1517 – 1527 . OpenUrl PubMed 20. ↵ Matos SMA , Amorim LD , Campos ACP , Barreto ML , Rodrigues LC , Morejón YA , et al. Growth patterns in early childhood: Better trajectories in Afro-Ecuadorians independent of sex and socioeconomic factors . Nutr Res 2017 ; 44 : 51 – 59 . OpenUrl PubMed 21. ↵ WHO . WHO Child Growth Standards based on length/height, weight and age . Acta Paediatr 2006 ; 450 : 76 – 85 . OpenUrl CrossRef 22. ↵ Menzies SK , Rodriguez A , Chico M , Sandoval C , Broncano N , Guadalupe I , et al. Risk Factors for Soil-Transmitted Helminth Infections during the First 3 Years of Life in the Tropics; Findings from a Birth Cohort . PLoS Negl Trop Dis 2014 ; 8 : e2718 . OpenUrl CrossRef PubMed 23. ↵ Deer DM , Lampel KA , González-Escalona N . A versatile internal control for use as DNA in real-time PCR and as RNA in real-time reverse transcription PCR assays . Lett Appl Microbiol 2010 ; 50 : 366 – 72 . OpenUrl CrossRef PubMed Web of Science 24. ↵ Fitzmaurice G , Davidian M , Verbeke G , Molenberghs G . Longitudinal data analysis . 1st ed. Boca Raton : Chapman and Hall/CRC ; 2008 . 25. ↵ Goldstein H . Multilevel statistical models . 4th ed. Oxford : Wiley ; 2011 . 26. ↵ Szmaragd C , Clarke P , Steele F . Subject specific and population average models for binary longitudinal data: a tutorial . Longitudinal and Life Course Studies 2013 ; 4 : 147 – 165 . OpenUrl 27. ↵ Pan W . Akaike’s Information Criterion in Generalized Estimating Equations . Biometrics 2001 ; 57 : 120 – 125 . OpenUrl CrossRef PubMed Web of Science 28. ↵ Little R , Rubin D . Statistical analysis with missing data . 2nd ed. Hoboken : Wiley ; 2002 . 29. ↵ Sandoval-Ramírez T , Seco-Hidalgo V , Calderon-Espinosa E , Garcia-Ramon D , Lopez A , Calvopiña M , et al. Epidemiology of giardiasis and assemblages A and B and effects on diarrhea and growth trajectories during the first 8 years of life: Analysis of a birth cohort in a rural district in tropical Ecuador . PLoS Negl Trop Dis 2023 ; 17 : e0011777 . OpenUrl PubMed 30. ↵ Else KJ , Keiser J , Holland CV , Grencis RK , Sattelle DB , Fujiwara RT , et al. Whipworm and roundworm infections . Nat Rev Dis Primers 2020 ; 6 : 44 . OpenUrl PubMed 31. ↵ Bouma S. Diagnosing Pediatric Malnutrition . Nutr Clin. Pract 2016 ; 32 : 52 – 67 . OpenUrl PubMed 32. ↵ Elia , M. Defining, Recognizing, and Reporting Malnutrition . Int J Low Extremity Wounds 2017 ; 16 : 230 – 237 . OpenUrl 33. ↵ Victora C , de Onis M , Hallal P , Blössner M , Shrimpton R . Worldwide timing of growth faltering: revisiting implications for interventions . Pediatrics 2010 ; 125 : e473 – e480 . OpenUrl CrossRef PubMed Web of Science 34. ↵ Dewey K , Adu-Afarwuah S . Systematic review of the efficacy and effectiveness of complementary feeding interventions in developing countries . Matern Child Nutr 2008 ; 4 : 24 – 85 . OpenUrl CrossRef PubMed 35. ↵ Budge S , Parker AH , Hutchings PT , Garbutt C . Environmental enteric dysfunction and child stunting . Nutr Rev 2019 ; 77 : 240 – 253 . OpenUrl CrossRef PubMed 36. ↵ Schaible UE , Kaufmann SH . Malnutrition and Infection: Complex Mechanisms and Global Impacts . PLoS Med 2007 ; 4 : e115 . OpenUrl CrossRef PubMed 37. Katona P , Katona-Apte J . The Interaction between Nutrition and Infection . Clin Infect Dis 2008 ; 46 : 1582 – 1588 . OpenUrl CrossRef PubMed Web of Science 38. ↵ Hürlimann E , Yapi RB , Houngbedji CA , Schmidlin T , Kouadio BA , Silué KD , et al. The epidemiology of polyparasitism and implications for morbidity in two rural communities of Côte d’Ivoire . Parasit Vectors 2014 ; 7 : 81 . OpenUrl CrossRef PubMed 39. ↵ Watanabe K , Petri W . Environmental enteropathy: elusive but significant subclinical abnormalities in developing countries . EBio Med 2016 ; 10 : 25 – 32 . OpenUrl 40. ↵ Raj E , Calvo-Urbano B , Heffernan C , Halder J , Webster JP . Systematic review to evaluate a potential association between helminth infection and physical stunting in children . Parasit Vectors 2022 ; 15 : 135 . OpenUrl PubMed 41. ↵ Beltrame A , Scolari C , Torti C , Urbani C . Soil transmitted helminth (STH) infections in an indigenous community in Ortigueira, Parana, Brazil and relationship with its nutritional status . Parasitologia 2002 ; 44 : 137 – 139 . OpenUrl PubMed 42. ↵ Quihui-Cota L , Valencia ME , Crompton DWT , Philips S , Hangan P , Diaz-Camacho SP , Tejas AT . Prevalence and intensity of intestinal parasitic infections in relation to nutritional status in Mexican schoolchildren . Trans R Soc Trop Med Hyg 2004 ; 98 : 653 – 659 . OpenUrl CrossRef PubMed 43. ↵ Shang Y , Tang LH , Zhou SS , Chen YD , Yang YC , Lin SX . Stunting and soil-transmitted-helminth infections among school-age pupils in rural areas of southern China . Parasit Vectors 2010 ; 3 : 97 . OpenUrl CrossRef PubMed 44. ↵ Sanchez AL , Gabrie JA , Usuanlele M-T , Rueda MM , Canales M , Gyorkos TW . Soil-Transmitted Helminth Infections and Nutritional Status in School-age Children from Rural Communities in Honduras . PLoS Negl Trop Dis 2013 ; 7 : e2378 . OpenUrl CrossRef PubMed 45. ↵ Saldiva SR , Silveira AS , Philippi ST , Torres DM , Mangini AC , Dias RM , et al. Ascaris-Trichuris association and malnutrition in Brazilian children . Paediatr Perinat Epidemiol 1999 ; 13 : 89 – 98 . OpenUrl CrossRef PubMed Web of Science 46. ↵ Taylor-Robinson DC , Maayan N , Donegan S , Chaplin M , Garner P . Public health deworming programmes for soil-transmitted helminths in children living in endemic areas . Cochrane Database Syst Rev 2019 ; 9 : CD000371 . OpenUrl PubMed 47. ↵ Dossa RA , Ategbo EA , de Koning FL , van Raaij JM , Hautvast JG . Impact of iron supplementation and deworming on growth performance in preschool Beninese children . Eur J Clin Nutr 2001 ; 55 : 223 – 8 . OpenUrl CrossRef PubMed Web of Science 48. ↵ Joseph SA , Casapia M , Montresor A , Rahme E , Ward BJ , Marquis GS , et al. The Effect of Deworming on Growth in One-Year-Old Children Living in a Soil-Transmitted Helminth-Endemic Area of Peru: A Randomized Controlled Trial . PLoS Negl Trop Dis 2015 ; 9 : e0004020 . OpenUrl CrossRef PubMed 49. ↵ Campbell D , Elia M , Lunn P . Growth faltering in rural Gambian infants is associated with impaired small intestinal barrier function, leading to endotoxemia and systemic inflammation . J Nutr 2003 ; 133 : 1332 – 1338 . OpenUrl Abstract / FREE Full Text 50. ↵ Rogawski ET , Liu J , Platts-Mills JA , Kabir F , Lertsethtakarn P , Siguas M , et al. Use of quantitative molecular diagnostic methods to investigate the effect of enteropathogen infections on linear growth in children in low-resource settings: longitudinal analysis of results from the MAL-ED cohort study . Lancet Glob Health 2018 ; 6 : e1319 – e1328 . OpenUrl PubMed 51. ↵ Black RE , Victora CG , Walker SP , Bhutta ZA , Christian P , de Onis M , et al. Maternal and child undernutrition and overweight in low-income and middle-income countries . Lancet 2013 ; 382 : 427 – 451 . OpenUrl CrossRef PubMed Web of Science 52. ↵ Martorell R , Horta B , Adair L , Stein AD , Richter L , Fall CH , et al. Weight gain in the first two years of life is an important predictor of schooling outcomes in pooled analyses from five birth cohorts from low- and middle-income countries . J Nutr 2010 ; 140 : 348 – 354 . OpenUrl Abstract / FREE Full Text 53. ↵ McGovern ME , Krishna A , Aguayo VM , Subramanian S . A review of the evidence linking child stunting to economic outcomes . Int J Epidemiol 2017 ; 46 : 1171 – 91 . OpenUrl PubMed 54. ↵ Banu H , Khanum H , Hossain MA . Relationships between anemia and parasitic infections in adolescent girls of Bangladesh . Bangladesh J 2014 ; 42 : 91 – 103 . OpenUrl 55. ↵ Lo NC , Snyder J , Addiss DG , Heft-Neal S , Andrews JR , Bendavid E . Deworming in pre-school age children: A global empirical analysis of health outcomes . PLoS Negl Trop Dis 2018 ; 12 : e0006500 . OpenUrl PubMed 56. ↵ Chelkeba L , Mekonnen Z , Alemu Y , Emana D . Epidemiology of intestinal parasitic infections in preschool and school-aged Ethiopian children: a systematic review and meta-analysis . BMC Public Health 2020 ; 20 : 117 . OpenUrl PubMed 57. ↵ Celestino AO , Vieira SCF , Lima PAS , Rodrigues LMCL , Lopes IRS , França CM , et al. Prevalence of intestinal parasitic infections in Brazil: a systematic review . Rev Soc Bras Med Trop 2021 ; 54 : e00332021 . OpenUrl PubMed 58. ↵ Tapia-Veloz E , Gozalbo M , Guillén M , Dashti A , Bailo B , Köster PC , et al. Prevalence and associated risk factors of intestinal parasites among schoolchildren in Ecuador, with emphasis on the molecular diversity of Giardia duodenalis, Blastocystis sp. and Enterocytozoon bieneusi . PLoS Negl Trop Dis 2023 ; 17 : e0011339 . OpenUrl PubMed 59. ↵ Verweij JJ , Stensvold CR . Molecular testing for clinical diagnosis and epidemiological investigations of intestinal parasitic infections . Clin Microbiol Rev 2014 ; 27 : 371 – 418 OpenUrl Abstract / FREE Full Text 60. ↵ Freire WB , Silva-Jaramillo KM , Ramírez-Luzuriaga MJ , Belmont P , Waters WF . The double burden of undernutrition and excess body weight in Ecuador . Am J Clin Nutr 2014 ; 100 : 1636s – 1643s . OpenUrl PubMed View the discussion thread. Back to top Previous Next Posted March 24, 2025. Download PDF Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods Message Subject (Your Name) has forwarded a page to you from medRxiv Message Body (Your Name) thought you would like to see this page from the medRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods R Mejia , I Chis Ster , ME Chico , I Guadalupe , A Arévalo-Cortés , A Lopez , A Oviedo , PJ Cooper medRxiv 2025.03.24.25324506; doi: https://doi.org/10.1101/2025.03.24.25324506 Share This Article: Copy Citation Tools Epidemiology of intestinal parasite infections and multiparasitism and their impact on growth and hemoglobin levels during childhood in tropical Ecuador: a longitudinal study using molecular detection methods R Mejia , I Chis Ster , ME Chico , I Guadalupe , A Arévalo-Cortés , A Lopez , A Oviedo , PJ Cooper medRxiv 2025.03.24.25324506; doi: https://doi.org/10.1101/2025.03.24.25324506 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Infectious Diseases (except HIV/AIDS) Subject Areas All Articles Addiction Medicine (569) Allergy and Immunology (863) Anesthesia (300) Cardiovascular Medicine (4442) Dentistry and Oral Medicine (444) Dermatology (383) Emergency Medicine (609) Endocrinology (including Diabetes Mellitus and Metabolic Disease) (1511) Epidemiology (15230) Forensic Medicine (30) Gastroenterology (1126) Genetic and Genomic Medicine (6610) Geriatric Medicine (668) Health Economics (998) Health Informatics (4542) Health Policy (1370) Health Systems and Quality Improvement (1613) Hematology (543) HIV/AIDS (1266) Infectious Diseases (except HIV/AIDS) (15923) Intensive Care and Critical Care Medicine (1103) Medical Education (623) Medical Ethics (147) Nephrology (668) Neurology (6607) Nursing (346) Nutrition (999) Obstetrics and Gynecology (1146) Occupational and Environmental Health (957) Oncology (3337) Ophthalmology (974) Orthopedics (369) Otolaryngology (420) Pain Medicine (436) Palliative Medicine (130) Pathology (664) Pediatrics (1693) Pharmacology and Therapeutics (692) Primary Care Research (712) Psychiatry and Clinical Psychology (5448) Public and Global Health (9238) Radiology and Imaging (2202) Rehabilitation Medicine and Physical Therapy (1370) Respiratory Medicine (1196) Rheumatology (596) Sexual and Reproductive Health (714) Sports Medicine (530) Surgery (712) Toxicology (99) Transplantation (289) Urology (265) (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a01cfca61e15df94',t:'MTc3OTgwMDY3OQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();