Literature DB >> 35129110

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

Sandra Kiplagat1, Kavitha Ravi2, Diana M Sheehan1,3,4, Vijaya Srinivas2, Anisa Khan2, Mary Jo Trepka1,4, Zoran Bursac5, Dionne Stephens6, Karl Krupp2,7, Purnima Madhivanan2,8,9,10.   

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.

Entities:  

Keywords:  India; latent class analysis; low birth weight; preterm birth

Year:  2022        PMID: 35129110      PMCID: PMC9357236          DOI: 10.1017/S0021932022000037

Source DB:  PubMed          Journal:  J Biosoc Sci        ISSN: 0021-9320


  33 in total

Review 1.  Socioeconomic disparities in adverse birth outcomes: a systematic review.

Authors:  Philip Blumenshine; Susan Egerter; Colleen J Barclay; Catherine Cubbin; Paula A Braveman
Journal:  Am J Prev Med       Date:  2010-09       Impact factor: 5.043

2.  Cardiovascular Disease-Related Morbidity and Mortality in Women With a History of Pregnancy Complications.

Authors:  Sonia M Grandi; Kristian B Filion; Sarah Yoon; Henok T Ayele; Carla M Doyle; Jennifer A Hutcheon; Graeme N Smith; Genevieve C Gore; Joel G Ray; Kara Nerenberg; Robert W Platt
Journal:  Circulation       Date:  2019-02-19       Impact factor: 29.690

3.  National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications.

Authors:  Hannah Blencowe; Simon Cousens; Mikkel Z Oestergaard; Doris Chou; Ann-Beth Moller; Rajesh Narwal; Alma Adler; Claudia Vera Garcia; Sarah Rohde; Lale Say; Joy E Lawn
Journal:  Lancet       Date:  2012-06-09       Impact factor: 79.321

Review 4.  Classification and heterogeneity of preterm birth.

Authors:  Jean-Marie Moutquin
Journal:  BJOG       Date:  2003-04       Impact factor: 6.531

5.  Latent Class Analysis of Low Birth Weight and Preterm Delivery among Australian Women.

Authors:  Michael Hendryx; Catherine Chojenta; Julie E Byles
Journal:  J Pediatr       Date:  2020-01-16       Impact factor: 4.406

Review 6.  State of newborn health in India.

Authors:  M J Sankar; S B Neogi; J Sharma; M Chauhan; R Srivastava; P K Prabhakar; A Khera; R Kumar; S Zodpey; V K Paul
Journal:  J Perinatol       Date:  2016-12       Impact factor: 2.521

7.  Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data.

Authors:  Dejun Su; Kaeli Samson; Ashvita Garg; Corrine Hanson; Ann L Anderson Berry; Ge Lin; Ming Qu
Journal:  Prev Med Rep       Date:  2018-05-18

8.  Prenatal Iron Deficiency and Replete Iron Status Are Associated with Adverse Birth Outcomes, but Associations Differ in Ghana and Malawi.

Authors:  Brietta M Oaks; Josh M Jorgensen; Lacey M Baldiviez; Seth Adu-Afarwuah; Ken Maleta; Harriet Okronipa; John Sadalaki; Anna Lartey; Per Ashorn; Ulla Ashorn; Stephen Vosti; Lindsay H Allen; Kathryn G Dewey
Journal:  J Nutr       Date:  2019-03-01       Impact factor: 4.798

9.  Correlates of low birth weight in term pregnancies: a retrospective study from Iran.

Authors:  Mariam Vahdaninia; Sedigheh Sadat Tavafian; Ali Montazeri
Journal:  BMC Pregnancy Childbirth       Date:  2008-04-19       Impact factor: 3.007

10.  Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis.

Authors:  Saifon Chawanpaiboon; Joshua P Vogel; Ann-Beth Moller; Pisake Lumbiganon; Max Petzold; Daniel Hogan; Sihem Landoulsi; Nampet Jampathong; Kiattisak Kongwattanakul; Malinee Laopaiboon; Cameron Lewis; Siwanon Rattanakanokchai; Ditza N Teng; Jadsada Thinkhamrop; Kanokwaroon Watananirun; Jun Zhang; Wei Zhou; A Metin Gülmezoglu
Journal:  Lancet Glob Health       Date:  2018-10-30       Impact factor: 26.763

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