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Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study

BACKGROUND: Approximately 20.5 million infants were born weighing <2500 g (defined as low birthweight or LBW) in 2015, primarily in low- and middle-income countries (LMICs). Infants born LBW, including those born preterm (<37 weeks gestation), are at increased risk for numerous consequences, i...

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Autores principales: Bater, Jorick, Lauer, Jacqueline M., Ghosh, Shibani, Webb, Patrick, Agaba, Edgar, Bashaasha, Bernard, Turyashemererwa, Florence M., Shrestha, Robin, Duggan, Christopher P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357758/
https://www.ncbi.nlm.nih.gov/pubmed/32658895
http://dx.doi.org/10.1371/journal.pone.0235626
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author Bater, Jorick
Lauer, Jacqueline M.
Ghosh, Shibani
Webb, Patrick
Agaba, Edgar
Bashaasha, Bernard
Turyashemererwa, Florence M.
Shrestha, Robin
Duggan, Christopher P.
author_facet Bater, Jorick
Lauer, Jacqueline M.
Ghosh, Shibani
Webb, Patrick
Agaba, Edgar
Bashaasha, Bernard
Turyashemererwa, Florence M.
Shrestha, Robin
Duggan, Christopher P.
author_sort Bater, Jorick
collection PubMed
description BACKGROUND: Approximately 20.5 million infants were born weighing <2500 g (defined as low birthweight or LBW) in 2015, primarily in low- and middle-income countries (LMICs). Infants born LBW, including those born preterm (<37 weeks gestation), are at increased risk for numerous consequences, including neonatal mortality and morbidity as well as suboptimal health and nutritional status later in life. The objective of this study was to identify predictors of LBW and preterm birth among infants in rural Uganda. METHODS: Data were derived from a prospective birth cohort study conducted from 2014–2016 in 12 districts across northern and southwestern Uganda. Birth weights were measured in triplicate to the nearest 0.1 kg by trained enumerators within 72 hours of delivery. Gestational age was calculated from the first day of last menstrual period (LMP). Associations between household, maternal, and infant characteristics and birth outcomes (LBW and preterm birth) were assessed using bivariate and multivariable logistic regression with stepwise, backward selection analyses. RESULTS: Among infants in the study, 4.3% were born LBW (143/3,337), and 19.4% were born preterm (744/3,841). In multivariable analysis, mothers who were taller (>150 cm) (adjusted Odds Ratio (aOR) = 0.42 (95% CI = 0.24, 0.72)), multigravida (aOR = 0.62 (95% CI = 0.39, 0.97)), or with adequate birth spacing (>24 months) (aOR = 0.60 (95% CI = 0.39, 0.92)) had lower odds of delivering a LBW infant Mothers with severe household food insecurity (aOR = 1.84 (95% CI = 1.22, 2.79)) or who tested positive for malaria during pregnancy (aOR = 2.06 (95% CI = 1.10, 3.85)) had higher odds of delivering a LBW infant. In addition, in multivariable analysis, mothers who resided in the Southwest (aOR = 0.64 (95% CI = 0.54, 0.76)), were ≥20 years old (aOR = 0.76 (95% CI = 0.61, 0.94)), with adequate birth spacing (aOR = 0.76 (95% CI = 0.63, 0.93)), or attended ≥4 antenatal care (ANC) visits (aOR = 0.56 (95% CI = 0.47, 0.67)) had lower odds of delivering a preterm infant; mothers who were neither married nor cohabitating (aOR = 1.42 (95% CI = 1.00, 2.00)) or delivered at home (aOR = 1.25 (95% CI = 1.04, 1.51)) had higher odds. CONCLUSIONS: In rural Uganda, severe household food insecurity, adolescent pregnancy, inadequate birth spacing, malaria infection, suboptimal ANC attendance, and home delivery represent modifiable risk factors associated with higher rates of LBW and/or preterm birth. Future studies on interventions to address these risk factors may be warranted.
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spelling pubmed-73577582020-07-22 Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study Bater, Jorick Lauer, Jacqueline M. Ghosh, Shibani Webb, Patrick Agaba, Edgar Bashaasha, Bernard Turyashemererwa, Florence M. Shrestha, Robin Duggan, Christopher P. PLoS One Research Article BACKGROUND: Approximately 20.5 million infants were born weighing <2500 g (defined as low birthweight or LBW) in 2015, primarily in low- and middle-income countries (LMICs). Infants born LBW, including those born preterm (<37 weeks gestation), are at increased risk for numerous consequences, including neonatal mortality and morbidity as well as suboptimal health and nutritional status later in life. The objective of this study was to identify predictors of LBW and preterm birth among infants in rural Uganda. METHODS: Data were derived from a prospective birth cohort study conducted from 2014–2016 in 12 districts across northern and southwestern Uganda. Birth weights were measured in triplicate to the nearest 0.1 kg by trained enumerators within 72 hours of delivery. Gestational age was calculated from the first day of last menstrual period (LMP). Associations between household, maternal, and infant characteristics and birth outcomes (LBW and preterm birth) were assessed using bivariate and multivariable logistic regression with stepwise, backward selection analyses. RESULTS: Among infants in the study, 4.3% were born LBW (143/3,337), and 19.4% were born preterm (744/3,841). In multivariable analysis, mothers who were taller (>150 cm) (adjusted Odds Ratio (aOR) = 0.42 (95% CI = 0.24, 0.72)), multigravida (aOR = 0.62 (95% CI = 0.39, 0.97)), or with adequate birth spacing (>24 months) (aOR = 0.60 (95% CI = 0.39, 0.92)) had lower odds of delivering a LBW infant Mothers with severe household food insecurity (aOR = 1.84 (95% CI = 1.22, 2.79)) or who tested positive for malaria during pregnancy (aOR = 2.06 (95% CI = 1.10, 3.85)) had higher odds of delivering a LBW infant. In addition, in multivariable analysis, mothers who resided in the Southwest (aOR = 0.64 (95% CI = 0.54, 0.76)), were ≥20 years old (aOR = 0.76 (95% CI = 0.61, 0.94)), with adequate birth spacing (aOR = 0.76 (95% CI = 0.63, 0.93)), or attended ≥4 antenatal care (ANC) visits (aOR = 0.56 (95% CI = 0.47, 0.67)) had lower odds of delivering a preterm infant; mothers who were neither married nor cohabitating (aOR = 1.42 (95% CI = 1.00, 2.00)) or delivered at home (aOR = 1.25 (95% CI = 1.04, 1.51)) had higher odds. CONCLUSIONS: In rural Uganda, severe household food insecurity, adolescent pregnancy, inadequate birth spacing, malaria infection, suboptimal ANC attendance, and home delivery represent modifiable risk factors associated with higher rates of LBW and/or preterm birth. Future studies on interventions to address these risk factors may be warranted. Public Library of Science 2020-07-13 /pmc/articles/PMC7357758/ /pubmed/32658895 http://dx.doi.org/10.1371/journal.pone.0235626 Text en © 2020 Bater et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bater, Jorick
Lauer, Jacqueline M.
Ghosh, Shibani
Webb, Patrick
Agaba, Edgar
Bashaasha, Bernard
Turyashemererwa, Florence M.
Shrestha, Robin
Duggan, Christopher P.
Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title_full Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title_fullStr Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title_full_unstemmed Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title_short Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study
title_sort predictors of low birth weight and preterm birth in rural uganda: findings from a birth cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357758/
https://www.ncbi.nlm.nih.gov/pubmed/32658895
http://dx.doi.org/10.1371/journal.pone.0235626
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