Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study.
<h4>Background</h4>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 numer...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0235626 |
_version_ | 1819140151416193024 |
---|---|
author | Jorick Bater Jacqueline M Lauer Shibani Ghosh Patrick Webb Edgar Agaba Bernard Bashaasha Florence M Turyashemererwa Robin Shrestha Christopher P Duggan |
author_facet | Jorick Bater Jacqueline M Lauer Shibani Ghosh Patrick Webb Edgar Agaba Bernard Bashaasha Florence M Turyashemererwa Robin Shrestha Christopher P Duggan |
author_sort | Jorick Bater |
collection | DOAJ |
description | <h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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. |
first_indexed | 2024-12-22T11:34:00Z |
format | Article |
id | doaj.art-9975b43241594e4c83615b205ff7310c |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-22T11:34:00Z |
publishDate | 2020-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-9975b43241594e4c83615b205ff7310c2022-12-21T18:27:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023562610.1371/journal.pone.0235626Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study.Jorick BaterJacqueline M LauerShibani GhoshPatrick WebbEdgar AgabaBernard BashaashaFlorence M TuryashemererwaRobin ShresthaChristopher P Duggan<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.https://doi.org/10.1371/journal.pone.0235626 |
spellingShingle | Jorick Bater Jacqueline M Lauer Shibani Ghosh Patrick Webb Edgar Agaba Bernard Bashaasha Florence M Turyashemererwa Robin Shrestha Christopher P Duggan Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study. PLoS ONE |
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 |
url | https://doi.org/10.1371/journal.pone.0235626 |
work_keys_str_mv | AT jorickbater predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT jacquelinemlauer predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT shibanighosh predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT patrickwebb predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT edgaragaba predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT bernardbashaasha predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT florencemturyashemererwa predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT robinshrestha predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy AT christopherpduggan predictorsoflowbirthweightandpretermbirthinruralugandafindingsfromabirthcohortstudy |