{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T16:13:03Z","timestamp":1788365583293,"version":"build-2803163510"},"reference-count":77,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"DELTAS Africa Sub- Saharan African Consortium for Advanced Biostatistics","award":["107754\/Z\/15\/Z"],"award-info":[{"award-number":["107754\/Z\/15\/Z"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\"><jats:title>Background<\/jats:title><jats:p>Preterm birth is a significant contributor of under-five and newborn deaths globally. Recent estimates indicated that, Tanzania ranks the tenth country with the highest preterm birth rates in the world, and shares 2.2% of the global proportion of all preterm births. Previous studies applied binary regression models to determine predictors of preterm birth by collapsing gestational age at birth to &lt;37 weeks. For targeted interventions, this study aimed to determine predictors of preterm birth using multinomial regression models accounting for missing data.<\/jats:p><\/jats:sec><jats:sec id=\"sec002\"><jats:title>Methods<\/jats:title><jats:p>We carried out a secondary analysis of cohort data from the KCMC zonal referral hospital Medical Birth Registry for 44,117 women who gave birth to singletons between 2000-2015. KCMC is located in the Moshi Municipality, Kilimanjaro region, northern Tanzania. Data analysis was performed using Stata version 15.1. Assuming a nonmonotone pattern of missingness, data were imputed using a fully conditional specification (FCS) technique under the missing at random (MAR) assumption. Multinomial regression models with robust standard errors were used to determine predictors of moderately to late ([32,37) weeks of gestation) and very\/extreme (&lt;32 weeks of gestation) preterm birth.<\/jats:p><\/jats:sec><jats:sec id=\"sec003\"><jats:title>Results<\/jats:title><jats:p>The overall proportion of preterm births among singleton births was 11.7%. The trends of preterm birth were significantly rising between the years 2000-2015 by 22.2% (95%CI 12.2%, 32.1%, p&lt;0.001) for moderately to late preterm and 4.6% (95%CI 2.2%, 7.0%, p = 0.001) for very\/extremely preterm birth category. After imputation of missing values, higher odds of moderately to late preterm delivery were among adolescent mothers (OR = 1.23, 95%CI 1.09, 1.39), with primary education level (OR = 1.28, 95%CI 1.18, 1.39), referred for delivery (OR = 1.19, 95%CI 1.09, 1.29), with pre-eclampsia\/eclampsia (OR = 1.77, 95%CI 1.54, 2.02), inadequate (&lt;4) antenatal care (ANC) visits (OR = 2.55, 95%CI 2.37, 2.74), PROM (OR = 1.80, 95%CI 1.50, 2.17), abruption placenta (OR = 2.05, 95%CI 1.32, 3.18), placenta previa (OR = 4.35, 95%CI 2.58, 7.33), delivery through CS (OR = 1.16, 95%CI 1.08, 1.25), delivered LBW baby (OR = 8.08, 95%CI 7.46, 8.76), experienced perinatal death (OR = 2.09, 95%CI 1.83, 2.40), and delivered male children (OR = 1.11, 95%CI 1.04, 1.20). Maternal age, education level, abruption placenta, and CS delivery showed no statistically significant association with very\/extremely preterm birth. The effect of (&lt;4) ANC visits, placenta previa, LBW, and perinatal death were more pronounced on the very\/extremely preterm compared to the moderately to late preterm birth. Notably, extremely higher odds of very\/extreme preterm birth were among the LBW babies (OR = 38.34, 95%CI 31.87, 46.11).<\/jats:p><\/jats:sec><jats:sec id=\"sec004\"><jats:title>Conclusions<\/jats:title><jats:p>The trends of preterm birth have increased over time in northern Tanzania. Policy decisions should intensify efforts to improve maternal and child care throughout the course of pregnancy and childbirth towards preterm birth prevention. For a positive pregnancy outcome, interventions to increase uptake and quality of ANC services should also be strengthened in Tanzania at all levels of care, where several interventions can easily be delivered to pregnant women, especially those at high-risk of experiencing adverse pregnancy outcomes.<\/jats:p><\/jats:sec>","DOI":"10.1371\/journal.pone.0249411","type":"journal-article","created":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T18:07:29Z","timestamp":1617300449000},"page":"e0249411","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":11,"title":["Predictors of singleton preterm birth using multinomial regression models accounting for missing data: A birth registry-based cohort study in northern Tanzania"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9861-5879","authenticated-orcid":true,"given":"Innocent B.","family":"Mboya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael J.","family":"Mahande","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Obure","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry G.","family":"Mwambi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2021,4,1]]},"reference":[{"issue":"1","key":"pone.0249411.ref001","doi-asserted-by":"crossref","first-page":"e37","DOI":"10.1016\/S2214-109X(18)30451-0","article-title":"Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis","volume":"7","author":"S Chawanpaiboon","year":"2019","journal-title":"The Lancet Global Health"},{"key":"pone.0249411.ref002","unstructured":"World Health Organization. Preterm Birth; 2020. Available from: http:\/\/www.who.int\/news-room\/fact-sheets\/detail\/preterm-birth."},{"key":"pone.0249411.ref003","doi-asserted-by":"crossref","first-page":"9","DOI":"10.2471\/BLT.06.033258","article-title":"Adverse birth outcomes in United Republic of Tanzania: impact and prevention of maternal risk factors","volume":"85","author":"D Watson-Jones","year":"2007","journal-title":"Bulletin of the World Health Organization"},{"issue":"8","key":"pone.0249411.ref004","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1111\/tmi.12111","article-title":"Recurrence of preterm birth and perinatal mortality in northern Tanzania: registry-based cohort study","volume":"18","author":"MJ Mahande","year":"2013","journal-title":"Tropical Medicine and International Health"},{"issue":"5","key":"pone.0249411.ref005","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.apjr.2016.07.009","article-title":"Maternal and obstetric risk factors associated with preterm delivery at a referral hospital in northern-eastern Tanzania","volume":"5","author":"TB Temu","year":"2016","journal-title":"Asian Pacific Journal of Reproduction"},{"issue":"2","key":"pone.0249411.ref006","doi-asserted-by":"crossref","first-page":"1","DOI":"10.15226\/2381-2915\/3\/2\/00124","article-title":"Risk Factors for Preterm Birth among Women Who Delivered Preterm Babies at Bugando Medical Centre, Tanzania","volume":"3","author":"JJ Rugaimukam","year":"2017","journal-title":"SOJ Gynecol Obstet Womens Health"},{"key":"pone.0249411.ref007","article-title":"Risk factors for preterm birth among HIV-infected Tanzanian women: a prospective study","volume":"2014","author":"RM Zack","year":"2014","journal-title":"Obstetrics and gynecology international"},{"issue":"9606","key":"pone.0249411.ref008","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/S0140-6736(08)60074-4","article-title":"Epidemiology and causes of preterm birth","volume":"371","author":"RL Goldenberg","year":"2008","journal-title":"The lancet"},{"issue":"1","key":"pone.0249411.ref009","doi-asserted-by":"crossref","first-page":"S2","DOI":"10.1186\/1742-4755-10-S1-S2","article-title":"Born too soon: the global epidemiology of 15 million preterm births","volume":"10","author":"H Blencowe","year":"2013","journal-title":"Reproductive health"},{"issue":"49","key":"pone.0249411.ref010","doi-asserted-by":"crossref","first-page":"6047","DOI":"10.1016\/j.vaccine.2016.03.045","article-title":"Preterm birth: Case definition & guidelines for data collection, analysis, and presentation of immunisation safety data","volume":"34","author":"J Quinn","year":"2016","journal-title":"Vaccine"},{"issue":"7","key":"pone.0249411.ref011","doi-asserted-by":"crossref","first-page":"e015402","DOI":"10.1136\/bmjopen-2016-015402","article-title":"Risk of recurrent spontaneous preterm birth: a systematic review and meta-analysis","volume":"7","author":"C Phillips","year":"2017","journal-title":"BMJ Open"},{"issue":"3","key":"pone.0249411.ref012","doi-asserted-by":"crossref","first-page":"e90128","DOI":"10.1371\/journal.pone.0090128","article-title":"Factors associated with preterm, early preterm and late preterm birth in Malawi","volume":"9","author":"NR van den Broek","year":"2014","journal-title":"Plos One"},{"key":"pone.0249411.ref013","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s12879-016-1413-6","article-title":"Prevalence of parasitic infections and associations with pregnancy complications and outcomes in northern Tanzania: a registry-based cross-sectional study","volume":"16","author":"AM Mahande","year":"2016","journal-title":"BMC Infectious diseases"},{"issue":"1","key":"pone.0249411.ref014","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1186\/s12884-016-0929-5","article-title":"Effect of interpregnancy interval on adverse pregnancy outcomes in northern Tanzania: a registry-based retrospective cohort study","volume":"16","author":"MJ Mahande","year":"2016","journal-title":"BMC Pregnancy Childbirth"},{"issue":"1","key":"pone.0249411.ref015","doi-asserted-by":"crossref","first-page":"e0191002","DOI":"10.1371\/journal.pone.0191002","article-title":"Effect of maternal age on the risk of preterm birth: A large cohort study","volume":"13","author":"F Fuchs","year":"2018","journal-title":"PloS one"},{"key":"pone.0249411.ref016","doi-asserted-by":"crossref","first-page":"633","DOI":"10.2147\/IJWH.S89317","article-title":"Prevention of preterm delivery: current challenges and future prospects","volume":"8","author":"MD van Zijl","year":"2016","journal-title":"International Journal of Womens Health"},{"issue":"2","key":"pone.0249411.ref017","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1097\/AOG.0000000000001506","article-title":"Recurrence of Preterm Birth and Early Term Birth","volume":"128","author":"J Yang","year":"2016","journal-title":"Obstetrics and Gynecology"},{"key":"pone.0249411.ref018","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.ejogrb.2018.04.025","article-title":"Gender and preterm birth: Is male fetal gender a clinically important risk factor for preterm birth in high-risk women?","volume":"225","author":"PJ Teoh","year":"2018","journal-title":"European Journal of Obstetrics & Gynecology and Reproductive Biology"},{"issue":"10063","key":"pone.0249411.ref019","doi-asserted-by":"crossref","first-page":"3027","DOI":"10.1016\/S0140-6736(16)31593-8","article-title":"Global, regional, and national causes of under-5 mortality in 2000\u201315: an updated systematic analysis with implications for the Sustainable Development Goals","volume":"388","author":"L Liu","year":"2016","journal-title":"The Lancet"},{"key":"pone.0249411.ref020","unstructured":"UNICEF, WHO, World Bank Group, United Nations. Levels & Trends in Child Mortality: Report 2019. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation. United Nations Children\u2019s Fund; 2019."},{"key":"pone.0249411.ref021","doi-asserted-by":"crossref","DOI":"10.1155\/2015\/435014","article-title":"Predicting preterm labour: current status and future prospects","volume":"2015","author":"HM Georgiou","year":"2015","journal-title":"Disease markers"},{"key":"pone.0249411.ref022","first-page":"387","volume-title":"Seminars in perinatology","author":"SE Purisch","year":"2017"},{"issue":"10010","key":"pone.0249411.ref023","doi-asserted-by":"crossref","first-page":"2275","DOI":"10.1016\/S0140-6736(15)00120-8","article-title":"Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation","volume":"386","author":"D You","year":"2015","journal-title":"The Lancet"},{"key":"pone.0249411.ref024","volume-title":"WHO recommendations on interventions to improve preterm birth outcomes","author":"World Health Organization","year":"2015"},{"key":"pone.0249411.ref025","unstructured":"Ministry of Health and Social Welfare [MoHSW]. The National Road Map Strategic Plan to Accelerate Reduction of Maternal, Newborn, and Child Deaths in Tanzania,2008\u20132015: One Plan II. Ministry of Health and Social Welfare, Dar es Salaam, Tanzania; 2015."},{"key":"pone.0249411.ref026","unstructured":"MoHCDGEC. The national road map strategic plan to improve Reproductive, Maternal, Newborn, Child & Adolescent health in Tanzania (2016-2020): One Plan II. Ministry of Health, Community Development, Gender, Elderly and Children, Dar Es Salaam, Tanzania; 2016."},{"issue":"6","key":"pone.0249411.ref027","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1093\/ije\/26.6.1323","article-title":"Regression models for ordinal responses: a review of methods and applications","volume":"26","author":"CV Ananth","year":"1997","journal-title":"International journal of epidemiology"},{"issue":"72","key":"pone.0249411.ref028","first-page":"1","article-title":"Factors associated with preterm delivery and low birth weight: a study from rural Maharashtra, India","volume":"6","author":"A Ahankari","year":"2001","journal-title":"F1000Research"},{"issue":"2","key":"pone.0249411.ref029","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1093\/aje\/kwv032","article-title":"Differences in risk factors for recurrent versus incident preterm delivery","volume":"182","author":"KL Grantz","year":"2015","journal-title":"American Journal of Epidemiology"},{"issue":"2","key":"pone.0249411.ref030","doi-asserted-by":"crossref","first-page":"e131","DOI":"10.1016\/j.ajog.2013.09.014","article-title":"The NICHD Consecutive Pregnancies Study: recurrent preterm delivery by subtype","volume":"210","author":"SK Laughon","year":"2014","journal-title":"American Journal of Obstetrics and Gynecology"},{"issue":"1","key":"pone.0249411.ref031","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1186\/1471-2393-13-166","article-title":"Recurrence of perinatal death in Northern Tanzania: a registry based cohort study","volume":"13","author":"MJ Mahande","year":"2013","journal-title":"BMC pregnancy and childbirth"},{"issue":"2","key":"pone.0249411.ref032","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/1471-0528.14906","article-title":"Risk of stillbirth, preterm delivery, and fetal growth restriction following exposure in a previous birth: systematic review and meta-analysis","volume":"125","author":"E Malacova","year":"2018","journal-title":"BJOG: An International Journal of Obstetrics & Gynaecology"},{"key":"pone.0249411.ref033","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.pmedr.2018.05.011","article-title":"Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data","volume":"11","author":"D Su","year":"2018","journal-title":"Preventive Medicine Reports"},{"key":"pone.0249411.ref034","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.b2393","article-title":"Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls","volume":"338","author":"JA Sterne","year":"2009","journal-title":"Bmj"},{"issue":"1","key":"pone.0249411.ref035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11749-009-0138-x","article-title":"Missing data methods in longitudinal studies: a review","volume":"18","author":"JG Ibrahim","year":"2009","journal-title":"Test"},{"issue":"2","key":"pone.0249411.ref036","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1080\/02664763.2016.1168370","article-title":"Multiple imputation for ordinal longitudinal data with monotone missing data patterns","volume":"44","author":"AY Kombo","year":"2017","journal-title":"Journal of Applied Statistics"},{"key":"pone.0249411.ref037","doi-asserted-by":"crossref","first-page":"157","DOI":"10.2147\/CLEP.S129785","article-title":"Missing data and multiple imputation in clinical epidemiological research","volume":"9","author":"AB Pedersen","year":"2017","journal-title":"Clinical epidemiology"},{"issue":"1","key":"pone.0249411.ref038","first-page":"1","article-title":"A medical birth registry at Kilimanjaro Christian Medical Centre","volume":"4","author":"P Bergsjo","year":"2007","journal-title":"East Afr J Public Health"},{"issue":"116","key":"pone.0249411.ref039","article-title":"Cause-specific neonatal mortality in a neonatal care unit in Northern Tanzania: a registry based cohort study","volume":"12","author":"BT Mmbaga","year":"2012","journal-title":"BMC Pediatrics"},{"key":"pone.0249411.ref040","volume-title":"Recurrence of perinatal death, preterm birth and preeclampsia in northern Tanzania: a registry based study","author":"MJ Mahande","year":"2015"},{"issue":"8","key":"pone.0249411.ref041","doi-asserted-by":"crossref","first-page":"e0182250","DOI":"10.1371\/journal.pone.0182250","article-title":"Maternal and fetal risk factors for stillbirth in Northern Tanzania: A registry-based retrospective cohort study","volume":"12","author":"FS Chuwa","year":"2017","journal-title":"PloS one"},{"issue":"4","key":"pone.0249411.ref042","doi-asserted-by":"crossref","first-page":"e0215768","DOI":"10.1371\/journal.pone.0215768","article-title":"Incidence and recurrence risk of low birth weight in Northern Tanzania: A registry based study","volume":"14","author":"MH Mvunta","year":"2019","journal-title":"PloS one"},{"issue":"4","key":"pone.0249411.ref043","doi-asserted-by":"crossref","first-page":"e0231636","DOI":"10.1371\/journal.pone.0231636","article-title":"Predictors of perinatal death in the presence of missing data: A birth registry-based study in northern Tanzania","volume":"15","author":"IB Mboya","year":"2020","journal-title":"Plos one"},{"issue":"1","key":"pone.0249411.ref044","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.apjr.2015.12.014","article-title":"Risk factors and adverse perinatal outcome associated with low birth weight in Northern Tanzania: a registry-based retrospective cohort study","volume":"5","author":"M Mitao","year":"2016","journal-title":"Asian pacific journal of Reproduction"},{"issue":"9","key":"pone.0249411.ref045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0239037","article-title":"Recurrence rate of preterm birth and associated factors among women who delivered at Kilimanjaro Christian Medical Centre in Northern Tanzania: A registry based cohort study","volume":"15","author":"NH Kalengo","year":"2020","journal-title":"PLOS ONE"},{"key":"pone.0249411.ref046","volume-title":"WHA Global Nutrition Targets 2025: Low birth weight policy brief","author":"World Health Organization","year":"2014"},{"issue":"48Part A","key":"pone.0249411.ref047","doi-asserted-by":"crossref","first-page":"6492","DOI":"10.1016\/j.vaccine.2017.01.049","article-title":"Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data","volume":"35","author":"CL Cutland","year":"2017","journal-title":"Vaccine"},{"issue":"6","key":"pone.0249411.ref048","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.tjog.2014.05.011","article-title":"Risk factors associated with late preterm births in the underdeveloped region of China: A cohort study and systematic review","volume":"54","author":"L Lu","year":"2015","journal-title":"Taiwan Journal of 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by chained equations: what is it and how does it work?","volume":"20","author":"MJ Azur","year":"2011","journal-title":"International journal of methods in psychiatric research"},{"issue":"4","key":"pone.0249411.ref056","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1177\/0962280214521348","article-title":"Multiple imputation of covariates by fully conditional specification: accommodating the substantive model","volume":"24","author":"JW Bartlett","year":"2015","journal-title":"Statistical methods in medical research"},{"issue":"4","key":"pone.0249411.ref057","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v045.i04","article-title":"Multiple imputation by chained equations (MICE): implementation in Stata","volume":"45","author":"P Royston","year":"2011","journal-title":"J Stat Softw"},{"issue":"2","key":"pone.0249411.ref058","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1037\/a0027127","article-title":"Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC)","volume":"17","author":"SI Vrieze","year":"2012","journal-title":"Psychological methods"},{"issue":"8","key":"pone.0249411.ref059","doi-asserted-by":"crossref","first-page":"e1001292","DOI":"10.1371\/journal.pmed.1001292","article-title":"Neonatal mortality risk associated with preterm birth in East Africa, adjusted by weight for gestational age: individual participant level meta-analysis","volume":"9","author":"T Marchant","year":"2012","journal-title":"PLoS medicine"},{"key":"pone.0249411.ref060","first-page":"1","article-title":"The global epidemiology of preterm birth","author":"JP Vogel","year":"2018","journal-title":"Best Practice & Research Clinical Obstetrics & Gynaecology"},{"key":"pone.0249411.ref061","unstructured":"MoHCDGEC [Tanzania Mainland], MoH [Zanzibar], NBS, OCGS, ICF. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam, Tanzania, and Rockville, Maryland, USA; 2016."},{"issue":"9","key":"pone.0249411.ref062","doi-asserted-by":"crossref","first-page":"e0204327","DOI":"10.1371\/journal.pone.0204327","article-title":"Complications associated with adolescent childbearing in Sub-Saharan Africa: A systematic literature review and meta-analysis","volume":"13","author":"T Gr\u00f8nvik","year":"2018","journal-title":"PloS one"},{"issue":"S3","key":"pone.0249411.ref063","doi-asserted-by":"crossref","first-page":"S2","DOI":"10.1186\/1471-2458-13-S3-S2","article-title":"The associations of parity and maternal age with small-for-gestational-age, preterm, and neonatal and infant mortality: a meta-analysis","volume":"13","author":"N Kozuki","year":"2013","journal-title":"BMC public health"},{"issue":"1","key":"pone.0249411.ref064","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1186\/s12884-019-2204-z","article-title":"Pregnancy and early motherhood among adolescents in five East African countries: a multi-level analysis of risk and protective factors","volume":"19","author":"YD Wado","year":"2019","journal-title":"BMC pregnancy and childbirth"},{"issue":"9","key":"pone.0249411.ref065","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1136\/jech-2014-205387","article-title":"Mother\u2019s education and the risk of preterm and small for gestational age birth: a DRIVERS meta-analysis of 12 European cohorts","volume":"69","author":"M Ruiz","year":"2015","journal-title":"J Epidemiol Community Health"},{"issue":"1","key":"pone.0249411.ref066","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s12939-017-0715-7","article-title":"Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system","volume":"17","author":"MK Kim","year":"2018","journal-title":"International Journal for Equity in 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