Evidence map›Paper›PMID 41756750›Full record

ArticleBMJ public health2026

Determinants of birth weight in a low- and middle-income country: Sri Lanka Child Growth Cohort (SLCGC).

V Pujitha Wickramasinghe, Guwani Liyanage, Harendra De Silva, Shreenika De Silva Weliange, Yasaswi Walpita, Heshan Jayaweera, Indika Siriwardena, Dhammica Rowel, Abner Daniel, Upul Senarath and 1 more

Abstract read
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Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

V Pujitha WickramasinghePaediatrics, University of Colombo Faculty of Medicine, Colombo, Sri Lanka.
Guwani LiyanageSri Lanka College of Paediatricians, Colombo, Sri Lanka.
Harendra De SilvaSri Lanka College of Paediatricians, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-2869-6973
Shreenika De Silva WeliangeCommunity Medicine, University of Colombo Faculty of Medicine, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0003-2429-8860
Yasaswi WalpitaCommunity Medicine, University of Colombo Faculty of Medicine, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0001-7608-4042
Heshan JayaweeraSri Lanka College of Paediatricians, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0003-3864-4410
Indika SiriwardenaSouth Asia Infant Feeding Research Network, Colombo, Sri Lanka.ORCID https://orcid.org/0009-0000-1025-6286
Dhammica RowelUNICEF Sri Lanka, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-7903-7230
Abner DanielUNICEF Sri Lanka, Colombo, Sri Lanka.ORCID https://orcid.org/0009-0008-1691-3492
Upul SenarathCommunity Medicine, University of Colombo Faculty of Medicine, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0001-6152-6258
Sri Lanka Child Growth Cohort (SLCGC)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low birth weight (LBW), a substantial global public health problem, is associated with a range of both short-term and long-term consequences affecting human capital. The present study aims to investigate sociodemographic and pregnancy-related determinants of birth weight through analysis of Sri Lanka Child Growth Cohort (SLCGC) data. Methods: SLCGC is a retrospective cohort study that recruited 1875 children aged 12-24 months, born at term, using a stratified cluster sample across the country. The present analysis included 1563 mother-baby pairs, with data collected through the Child Health Development Record (birth weight, gestational age at birth, sex), Pregnancy Record (birth order, pre-pregnancy body mass index (BMI), gestational weight gain, diabetes, hypertension, haemoglobin), through interview (household assets to calculate wealth index, maternal age, education and employment, birth order, birth interval, supplements used) and through anthropometric measurements (maternal and paternal height). Univariate regression analyses were carried out to estimate the effects of a series of independent variables on birth weight, followed by a multiple regression analysis using the generalised linear model adjusting for confounders at a significance considered at p<0.05. Results: Mean birth weight was 2926 g (SD 406.9) and the LBW prevalence in term-born children was 12.5%. Adjusted analyses show that birth weight (g) of term-born children increases significantly with their parental height (maternal β=9.7, 95% CI 6.7 to 12.7, p<0.01; paternal β=2.4, 95% CI 1.4 to 4.5, p<0.01), pre-pregnancy BMI (β=19.2, 95% CI 15.2 to 23.1, p<0.01), gestational age at birth (β=131.3, 95% CI 114.5 to 148.0, p<0.01) and weight gain during pregnancy (β=20.9, 95% CI 16.9 to 24.9, p<0.01). Birth weight is significantly higher in males in contrast to females, the second or higher birth orders compared with first-born and those living in urban and rural sectors in contrast to the estate sector (plantations). Having diabetes during pregnancy has increased birth weight significantly, whereas hypertension reduced it. These associations were considered significant at p<0.05. Conclusion: Birth weight is determined by multiple factors. The consistent associations of parental height, pre-pregnancy BMI, weight gain during pregnancy, gestational age at birth and presence of diabetes and hypertension in pregnancy may have programmatic implications to achieve optimal birth weight in low- and middle-income countries.

Indexed as

Community HealthNutrition AssessmentNutrition SurveysPublic Health

Identifiers

PMID41756750
PMCPMC12933758

What Socratic holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.