Evidence map›Paper›PMID 40100894›Full record

ArticlePloS one2025

Spatial association of biosocial and economic factors with reproductive women obesity in urban India.

Priya Das, Subhadeep Saha, Tanu Das, Partha Das, Tamal Basu Roy

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Priya DasDepartment of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
Subhadeep SahaDepartment of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
Tanu DasDepartment of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
Partha DasDepartment of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
Tamal Basu RoyDepartment of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.ORCID https://orcid.org/0000-0003-3256-8904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity creates several health complications among the urban women from reproductive age group. So far it is most ignored public health concern particularly in Indian context. The study aims to focus on the identification of cluster of districts with obese urban women and its spatial association with selected spatial determining explanatory factors.This study utilized secondary data obtained from the fifth round of the National Family Health Survey (NFHS-5), 2019-2021.The study performed spatial cluster of districts through univariate Moran's I and its association with selected determining factors through bivariate Local Indicator of Spatial Association (BiLISA). Geographically Weighted Regression (GWR) was applied to measure the magnitude of independent factors over the space affecting the prevalence of outome of urban obese women.The spatial autocorrelation value of obesity among the urban women was found 0.429, depicting the moderate concentration of obesity coverage among the urban women over the districts of India. The results of bivariate LISA revealed that the highest bivariate Moran' I value among all the predictors were identified for those women who had caesarean delivery (I = 0.274), followed by non-poor population (I = 0.208). The adjusted R2 value evidenced by the GWR model was 0.727 indicated that the employed explanatory variables was explaining about 73% for making influence on the prevalence of obesity among urban women of reproductive age group across the districts of India. This study recommends for an urgent need of interventions of the target areas focusing predominantly the urban women belonging from higher socio-economic status.

Indexed as

ObesityUrban PopulationAdolescentAdultFemaleHealth SurveysHumansIndiaMiddle AgedPregnancyPrevalenceSocioeconomic FactorsSpatial AnalysisYoung Adult

Identifiers

PMID40100894
PMCPMC11918349

What Socratic holds

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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 Socratic graph.