Evidence map›Paper›PMID 35129110›Full record

ArticleJournal of biosocial science2023

Sociodemographic patterns of preterm birth and low birth weight among pregnant women in rural Mysore district, India: A latent class analysis.

Sandra Kiplagat, Kavitha Ravi, Diana M Sheehan, Vijaya Srinivas, Anisa Khan, Mary Jo Trepka, Zoran Bursac, Dionne Stephens, Karl Krupp, Purnima Madhivanan

Open access · hybridAbstract read
In one paragraph

Article in Journal of biosocial science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Sandra KiplagatDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University (FIU), Miami, FL.ORCID 0000-0002-4890-9913
Kavitha RaviPublic Health Research Institute of India, Mysore, Karnataka, India.
Diana M SheehanDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University (FIU), Miami, FL.
Vijaya SrinivasPublic Health Research Institute of India, Mysore, Karnataka, India.
Anisa KhanPublic Health Research Institute of India, Mysore, Karnataka, India.
Mary Jo TrepkaDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University (FIU), Miami, FL.
Zoran BursacDepartment of Biostatistics, Robert Stempel College of Public Health and Social Work, FIU, Miami, FL.
Dionne StephensDepartment of Psychology, College of Arts and Science Education, FIU, Miami, FL.
Karl KruppPublic Health Research Institute of India, Mysore, Karnataka, India.ORCID 0000-0001-7001-9194
Purnima MadhivananPublic Health Research Institute of India, Mysore, Karnataka, India.ORCID 0000-0001-7818-3394
University of Miami · USPublic Health Research Institute Of India · INUniversity of Arizona · US

Funding

The FIU Research Center in a Minority Institution (FIU-RCMI)U54MD012393 · NIMHD · FLORIDA INTERNATIONAL UNIVERSITY · PI Diana Azzam · 2017 to 2026
$32.1M
Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
FIC NIH HHS D43 TW010540NIMHD NIH HHS U54 MD012393
6 · The paper itself

Abstract

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.

Indexed as

Premature BirthAdultBirth WeightFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornLatent Class AnalysisPregnancyPregnant PeopleProspective StudiesRisk FactorsYoung AdultIndialatent class analysislow birth weightpreterm birth

Identifiers

PMID35129110
PMCPMC9357236
OpenAlexW4210576956

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.