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BMC Pregnancy and Childbirth
Published in: BMC Pregnancy and Childbirth 1/2020

Open Access 01-12-2020 | Intrauterine Growth Restriction | Research article

Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

Authors: Ila R. Falcão, Rita de Cássia Ribeiro-Silva, Marcia F. de Almeida, Rosemeire L. Fiaccone, Aline dos S. Rocha, Naiá Ortelan, Natanael J. Silva, Enny S. Paixao, Maria Yury Ichihara, Laura C. Rodrigues, Mauricio L. Barreto

Published in: BMC Pregnancy and Childbirth | Issue 1/2020

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Abstract

Background

Factors associated with low birth weight at term (TLBW), a proxy for intrauterine growth restriction (IUGR), are not well-elucidated in socioeconomically vulnerable populations. This study aimed to identify the factors associated with TLBW in impoverished Brazilian women.

Methods

Records in the 100 Million Brazilian Cohort database were linked to those in the National System of Information on Live Births (SINASC) to obtain obstetric, maternal, birth and socioeconomic data between 2001 and 2015. Multivariate logistic regression was performed to investigate associations between variables of exposure and TLBW.

Results

Of 8,768,930 term live births analyzed, 3.7% presented TLBW. The highest odds of TLBW were associated with female newborns (OR: 1.49; 95% CI: 1.47–1.50), whose mothers were black (OR: 1.20; 95% CI: 1.18–1.22), had a low educational level (OR: 1.57; 95% CI: 1.53–1.62), were aged ≥35 years (OR: 1.44; 95% CI: 1.43–1.46), had a low number of prenatal care visits (OR: 2.48; 95% CI: 2.42–2.54) and were primiparous (OR: 1.62; 95% CI: 1.60–1.64). Lower odds of TLBW were found among infants whose mothers lived in the North, Northeast and Center-West regions of Brazil compared to those in the South.

Conclusion

Multiple aspects were associated with TLBW, highlighting the need to comprehensively examine the mechanisms underlying these factors, especially in more vulnerable Brazilian populations, in order to contribute to the elaboration of health policies and promote better conditions of life for poor and extremely poor mothers and children.
Appendix
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Literature
1.
Dubois L, Girard M. Determinants of birthweight inequalities: population-based study. Pediatr Int. 2006;48(5):470–8.PubMed
2.
Goldenberg RL, Culhane JF. Low birth weight in the United States. Am J Clin Nutr. 2007;85(2):584s–90s.PubMed
3.
Leal MC, Gama SGN, Cunha CB. Desigualdades sociodemográficas e suas conseqüências sobre o peso do recém-nascido. Rev Saude Publica. 2006;40:466–73.
4.
Mahumud RA, Sultana M, Sarker AR. Distribution and determinants of low birth weight in developing countries. J Prev Med Public Health. 2017;50(1):18–28.PubMed
5.
Blencowe H, Krasevec J, de Onis M, Black RE, An X, Stevens GA, Borghi E, Hayashi C, Estevez D, Cegolon L, et al. National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis. Lancet Glob Health. 2019;7(7):e849–60.PubMedPubMedCentral
6.
7.
Kramer MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull World Health Organ. 1987;65(5):663–737.PubMedPubMedCentral
8.
Lee ACC, Katz J, Blencowe H, Cousens S, Kozuki N, Vogel JP, Adair L, Baqui AH, Bhutta ZA, Caulfield LE, et al. National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010. Lancet Glob Health. 2013;1(1):e26–36.PubMedPubMedCentral
9.
10.
Kader M, Perera NK. Socio-economic and nutritional determinants of low birth weight in India. N Am J Med Sci. 2014;6(7):302–8.PubMedPubMedCentral
11.
Mumbare SS, Maindarkar G, Darade R, Yenge S, Tolani MK, Patole K. Maternal risk factors associated with term low birth weight neonates: a matched-pair case control study. Indian Pediatr. 2012;49(1):25–8.PubMed
12.
Agorinya IA, Kanmiki EW, Nonterah EA, Tediosi F, Akazili J, Welaga P, Azongo D, Oduro AR. Socio-demographic determinants of low birth weight: evidence from the Kassena-Nankana districts of the upper east region of Ghana. PLoS One. 2018;13(11):1–10.
13.
Chen Y, Li G, Ruan Y, Zou L, Wang X, Zhang W. An epidemiological survey on low birth weight infants in China and analysis of outcomes of full-term low birth weight infants. BMC Pregnancy Childbirth. 2013;13:242.PubMedPubMedCentral
14.
Minuci EG, Almeida MF. Birth weight intra-urban differentials in the city of São Paulo. Rev Saude Publica. 2009;43(2):256–66.PubMed
15.
Abubakari A, Kynast-Wolf G, Jahn A. Maternal determinants of birth weight in northern Ghana. PLoS One. 2015;10(8):e0135641.PubMedPubMedCentral
16.
Li CY, Sung FC. Socio-economic inequalities in low-birth weight, full-term babies from singleton pregnancies in Taiwan. Public Health. 2008;122(3):243–50.PubMed
17.
Taywade ML, Pisudde PM. Study of sociodemographic determinants of low birth weight in Wardha district, India. Clin Epidemiol Glob Health. 2017;5(1):14–20.
18.
Mohammad K, Kassab M, Gamble J, Creedy DK, Foster J. Factors associated with birth weight inequalities in Jordan. Int Nurs Rev. 2014;61(3):435–40.PubMed
19.
Manyeh AK, Kukula V, Odonkor G, Ekey RA, Adjei A, Narh-Bana S, Akpakli DE, Gyapong M. Socioeconomic and demographic determinants of birth weight in southern rural Ghana: evidence from Dodowa Health and Demographic Surveillance System. BMC Pregnancy Childbirth. 2016;16(1):160.PubMedPubMedCentral
20.
Dahlui M, Azahar N, Oche OM, Aziz NA. Risk factors for low birth weight in Nigeria: evidence from the 2013 Nigeria Demographic and Health Survey. Glob Health Action. 2016;9:28822.PubMed
21.
Bharati P, Pal M, Bandyopadhyay M, Bhakta A, Chakraborty S, Bharati P. Prevalence and causes of low birth weight in India. Malays J Nutr. 2011;17(3):301–13.PubMed
22.
Momeni M, Danaei M, Kermani AJN, Bakhshandeh M, Foroodnia S, Mahmoudabadi Z, Amirzadeh R, Safizadeh H. Prevalence and risk factors of low birth weight in the southeast of Iran. Int J Prev Med. 2017;8:12.PubMedPubMedCentral
23.
Khatun S, Rahman M. Socio-economic determinants of low birth weight in Bangladesh: a multivariate approach. Bangladesh Med Res Counc Bull. 2008;34(3):81–6.PubMed
24.
25.
Ali MS, Ichihara MY, Lopes LC, Barbosa GCG, Pita R, Carreiro RP, Dos Santos DB, Ramos D, Bispo N, Raynal F, et al. Administrative data linkage in Brazil: potentials for health technology assessment. Front Pharmacol. 2019;10:984.PubMedPubMedCentral
26.
Wehby GL, Murray JC, Castilla EE, Lopez-Camelo JS, Ohsfeldt RL. Prenatal care effectiveness and utilization in Brazil. Health Policy Plan. 2009;24(3):175–88.PubMedPubMedCentral
27.
Woodhouse C, Lopez Camelo J, Wehby GL. A comparative analysis of prenatal care and fetal growth in eight south American countries. PLoS One. 2014;9(3):e91292.PubMedPubMedCentral
28.
World Health Organization. Certain conditions originating in the perinatal period. In: International statistical classification of diseases and related health problems for mortality and morbidity statistics. 11th ed: World Health Organization; 2019.
29.
Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, Ezzati M, Grantham-McGregor S, Katz J, Martorell R, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382(9890):427–51.PubMed
30.
Belfort GP, Santos MMAS, Pessoa LS, Dias JR, Heidelmann SP, Saunders C. Determinantes do baixo peso ao nascer em filhos de adolescentes: uma análise hierarquizada. Cien Saude Colet. 2018;23:2609–20.PubMed
31.
Ribeiro AM, Guimarães MJ, Lima Mde C, Sarinho SW, Coutinho SB. Risk factors for neonatal mortality among children with low birth weight. Rev Saude Publica. 2009;43(2):246–55.PubMed
32.
Chen S, Yang Y, Qu Y, Zou Y, Zhu H, Yang H, Gong F, Wang L, Jiang Y, Lian BQ, et al. Both maternal and paternal risk factors for term singleton low birthweight infants in rural Chinese population: a population-based, retrospective cohort study. Sci Rep. 2018;8(1):12539.PubMedPubMedCentral
33.
Mekie M, Taklual W. Magnitude of low birth weight and maternal risk factors among women who delivered in Debre Tabor Hospital, Amhara Region, Ethiopia: a facility based cross-sectional study. Ital J Pediatr. 2019;45(1):86.PubMedPubMedCentral
34.
35.
Kumar V, Deshmukh PR, Taywade M, Gupta SS. Magnitude and correlates of low birth weight at term in rural Wardha, Central India. Online J Health Allied Sci. 2016;15(1):1–5.
36.
Andrade CLT, Szwarcwald CL, Castilho EA. Baixo peso ao nascer no Brasil de acordo com as informações sobre nascidos vivos do Ministério da Saúde, 2005. Cad Saúde Pública. 2008;24:2564–72.PubMed
37.
Lima MCBM, Oliveira GS, Lyra CO, Roncalli AG, Ferreira MAF. A desigualdade espacial do Baixo Peso ao Nascer no Brasil. Cien Saude Colet. 2013;18:2443–52.PubMed
38.
Silva AAM, Silva LM, Barbieri MA, Bettiol H, Carvalho LM, Ribeiro VS, Goldani MZ. The epidemiologic paradox of low birth weight in Brazil. Rev Saude Publica. 2010;44(5):767–75.PubMed
39.
Silva AA, Bettiol H, Barbieri MA, Pereira MM, Brito LG, Ribeiro VS, Aragão VM. Why are the low birthweight rates in Brazil higher in richer than in poorer municipalities? Exploring the epidemiological paradox of low birthweight. Paediatr Perinat Epidemiol. 2005;19(1):43–9.PubMed
40.
Alencar GP, da Silva ZP, Santos PC, Raspantini PR, Moura BLA, de Almeida MF, do Nascimento FP, Rodrigues LC. What is the impact of interventions that prevent fetal mortality on the increase of preterm live births in the State of Sao Paulo, Brazil? BMC Pregnancy Childbirth. 2015;15(1):152.PubMedPubMedCentral
41.
Johnson CD, Jones S, Paranjothy S. Reducing low birth weight: prioritizing action to address modifiable risk factors. J Public Health (Oxf). 2017;39(1):122–31.
42.
Wilcox AJ. On the importance--and the unimportance--of birthweight. Int J Epidemiol. 2001;30(6):1233–41.PubMed
43.
Dolatian M, Mahmoodi Z, Alavi-Majd H, Moafi F, Ghorbani M, Mirabzadeh A. Psychosocial factors in pregnancy and birthweight: path analysis. J Obstet Gynaecol Res. 2016;42(7):822–30.PubMed
44.
Astone NM, Misra D, Lynch C. The effect of maternal socio-economic status throughout the lifespan on infant birthweight. Paediatr Perinat Epidemiol. 2007;21(4):310–8.PubMed
45.
Grady SC. Racial disparities in low birthweight and the contribution of residential segregation: a multilevel analysis. Soc Sci Med (1982). 2006;63(12):3013–29.
46.
Wehby GL, Gili JA, Pawluk M, Castilla EE, López-Camelo JS. Disparities in birth weight and gestational age by ethnic ancestry in south American countries. Int J Public Health. 2015;60(3):343–51.PubMed
47.
Gabriel GP, Chiquetto L, Morcillo AM, Carmo Ferreira M, Bazan IGM, Daolio LD, Rocha Lemos JJ, Faria Carniel E. Avaliação das informações das Declarações de Nascidos Vivos do Sistema de Informação sobre Nascidos Vivos (Sinasc) em Campinas, São Paulo, 2009. Rev Paul Pediatr. 2014;32(3):183–8.PubMedPubMedCentral
48.
Brown SJ, Yelland JS, Sutherland GA, Baghurst PA, Robinson JS. Stressful life events, social health issues and low birthweight in an Australian population-based birth cohort: challenges and opportunities in antenatal care. BMC Public Health. 2011;11(1):196.PubMedPubMedCentral
49.
Farley TA, Mason K, Rice J, Habel JD, Scribner R, Cohen DA. The relationship between the neighbourhood environment and adverse birth outcomes. Paediatr Perinat Epidemiol. 2006;20(3):188–200.PubMed
50.
Jansen PW, Tiemeier H, Looman CWN, Jaddoe VWV, Hofman A, Moll HA, Steegers EAP, Verhulst FC, Mackenbach JP, Raat H. Explaining educational inequalities in birthweight: the generation R study. Paediatr Perinat Epidemiol. 2009;23(3):216–28.PubMed
51.
Kuo C-P, Lee S-H, Wu W-Y, Liao W-C, Lin S-J, Lee M-C. Birth outcomes and risk factors in adolescent pregnancies: results of a Taiwanese national survey. Pediatr Int. 2010;52(3):447–52.PubMed
52.
Balazs P, Rakoczi I, Grenczer A, Foley KL. Risk factors of preterm birth and low birth weight babies among Roma and non-Roma mothers: a population-based study. Eur J Pub Health. 2013;23(3):480–5.
53.
Saloojee H, Coovadia H. Maternal age matters: for a lifetime, or longer. Lancet Glob Health. 2015;3(7):e342–3.PubMed
54.
Jacobsson B, Ladfors L, Milsom I. Advanced maternal age and adverse perinatal outcome. Obstet Gynecol. 2004;104(4):727–33.PubMed
55.
Bae J, Park JH, Park YK, Kim JY, Lee SW, Park SW. Changes in the distribution of maternal age and parity and increasing trends in the low birth weight rate in Korea between 1995 and 2005. J Prev Med Public Health. 2011;44(3):111–7.PubMed
56.
AlShami HAA, Kadasne AR, Khalfan M, Iqbal SZ, Mirghani HM. Pregnancy outcome in late maternal age in a high-income developing country. Arch Gynecol Obstet. 2011;284(5):1113–6.PubMed
57.
Schimmel MS, Bromiker R, Hammerman C, Chertman L, Ioscovich A, Granovsky-Grisaru S, Samueloff A, Elstein D. The effects of maternal age and parity on maternal and neonatal outcome. Arch Gynecol Obstet. 2015;291(4):793–8.PubMed
58.
Szwarcwald CL, Leal MC, Esteves-Pereira AP, Almeida WS, Frias PG, Damacena GN, Souza Júnior PRB, Rocha NM, Mullachery PMH. Avaliação das informações do Sistema de Informações sobre Nascidos Vivos (SINASC), Brasil. Cad Saude Publica. 2019;35(10):e00214918.PubMed
59.
Gelman A. P values and statistical practice. Epidemiology (Cambridge, Mass). 2013;24(1):69–72.
60.
Siontis GCM, Ioannidis JPA. Risk factors and interventions with statistically significant tiny effects. Int J Epidemiol. 2011;40(5):1292–307.PubMed
Metadata
Title
Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort
Authors
Ila R. Falcão
Rita de Cássia Ribeiro-Silva
Marcia F. de Almeida
Rosemeire L. Fiaccone
Aline dos S. Rocha
Naiá Ortelan
Natanael J. Silva
Enny S. Paixao
Maria Yury Ichihara
Laura C. Rodrigues
Mauricio L. Barreto
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Pregnancy and Childbirth / Issue 1/2020
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-020-03226-x

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