Sociodemographic patterns of preterm birth and low birth weight among pregnant women in rural Mysore district, India

A latent class analysis

Dados Bibliográficos

ID21342849
AutoresSandra Kiplagat (0000-0002-4890-9913, University of Miami), Kavitha Ravi (0000-0001-7310-4714, Public Health Research Institute Of India), Diana M Sheehan (0000-0002-1316-3189, University of Miami), Vijaya Srinivas (0000-0001-8453-1623, Public Health Research Institute Of India), Anisa Khan (Public Health Research Institute Of India), Mary Jo Trepka (0000-0002-6585-1194, University of Miami), Zoran Bursac (0000-0001-9306-0907, University of Miami), D Stephens (0000-0002-6636-6625, University of Miami), Karl Krupp (0000-0001-7001-9194, University of Arizona), Purnima Madhivanan (0000-0001-7818-3394, University of Arizona, autor correspondente)
Ano2023
Volume55
Fascículo2
Páginas260-274
Data de publicação2023-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Biosocial Science (JOURNAL)
Identificadores do periódicoISSN: 0021-9320 • E-ISSN: 1469-7599
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0021932022000037
PMID35129110
OpenAlexW4210576956
IdiomaEN
Citações recebidas1
Referências citadas34

Few studies have utilized person-centered approaches to examine co-occurrence of risk factors among pregnant women in low-and middle-income settings. The objective of this study was to utilize latent class analysis (LCA) to identify sociodemographic patterns and assess the association of these patterns on preterm birth (PTB) and/or low birth weight (LBW) in rural Mysore District, India. Secondary data analysis of a prospective cohort study among 1540 pregnant women was conducted. Latent class analysis was performed to identify distinct group memberships based on a chosen set of sociodemographic factors. Binary logistic regression was conducted to estimate the association between latent classes and preterm birth and low birth weight. LCA yielded four latent classes. Women belonging to Class 1 “low socioeconomic status (SES)/early marriage/multigravida/1 child or more”, had higher odds of preterm birth (adjusted Odds Ratio (aOR): 95% Confidence Intervals (CI): 1.77, 95% CI: 1.05-2.97) compared to women in Class 4 “high SES/later marriage/primigravida/no children”. Women in Class 2 “low SES/later marriage/primigravida/no children” had higher odds of low birth weight (aOR: 2.52, 95% CI: 1.51-4.22) compared to women in Class 4. Women less than 20 years old were twice as likely to have PTB compared to women aged 25 years and older (aOR: 2.00, 95% CI: 1.08-3.71). Hypertension (>140/>90 mm/Hg) was a significant determinant of PTB (aOR: 2.28, 95% CI: 1.02-5.07). Furthermore, women with a previous LBW infant had higher odds of delivering a subsequent LBW infant (aOR: 2.15, 95% CI: 1.40-3.29). Overall study findings highlighted that woman belonging to low socioeconomic status, and multigravida women had increased odds of preterm birth and low birth weight infants. Targeted government programs are crucial in reducing inequalities in preterm births and low birth weight infants in rural Mysore, India

Birth weight · Cohort study · Confidence interval · Environmental health · Latent class model · Logistic regression · Low birth weight · Obstetrics · Odds · Odds ratio · Population · Pregnancy · Social class · Socioeconomic status · Demography · Global Maternal and Child Health · Medicine · Pregnancy and preeclampsia studies · Preterm Birth and Chorioamnionitis