Evidence map›Paper›PMID 39343972›Full record

ArticleScientific reports2024

Trends and social determinants of the obesity epidemic among reproductive-age women in ten Asian countries.

Subash Thapa, Kedir Y Ahmed, Habtamu Mellie Bizuayehu, M Mamun Huda, Binaya Chalise, Meless G Bore, Sewunet Admasu Belachew, Tahir A Hassen, Erkihun Amsalu, Desalegn Markos Shifti and 12 more

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

22 authors.

Subash ThapaRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia. suthapa@csu.edu.au.
Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Habtamu Mellie BizuayehuThe First Nations Cancer and Wellbeing Research (FNCWR) Program, School of Public Health, The University of Queensland, Queensland, Australia.
M Mamun HudaRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Binaya ChaliseHealth and Development Society Nepal, Lalitpur, Nepal.
Meless G BoreSchool of Nursing and Midwifery, University of Technology Sydney, Sydney, Australia.
Sewunet Admasu BelachewThe First Nations Cancer and Wellbeing Research (FNCWR) Program, School of Public Health, The University of Queensland, Queensland, Australia.
Tahir A HassenCenter for Women's Health Research, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia.
Erkihun AmsaluSydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Desalegn Markos ShiftiChild Health Research Centre, The University of Queensland, Queensland, Australia.
Abdulbasit SeidSchool of Public Health and Preventive Medicine, Monash University, Clayton, Australia.
Yonatan M MesfinInfection, Immunity, & Global Health, Asia-Pacific Health, Murdoch Children's Research Institute (MCRI), Parkville, VIC, Australia.
Teketo Kassaw TegegneInstitute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
Abel F DadiMenzies School of Health Research, Charles Darwin University, Casuarina, Australia.
Daniel Bogale OdoNational Centre for Aboriginal and Torres Strait Islander Wellbeing Research, National Centre for Aboriginal and Torres Strait Islander Wellbeing Research, National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Getiye Dejenu KibretSchool of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.
Daniel Bekele KetemaThe George Institute for Global Health, University of New South Wales (UNSW), Sydney, Australia.
Zemenu Yohannes KassaCollege of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Anayochukwu E AnyasodorRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Shakeel MahmoodRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Feleke Hailemichael AstawesegnRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Allen G RossRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid epidemiological transition in Asian countries, resulting from the rising trend of urbanisation and lifestyle changes, is associated with an increasing risk of obesity in women of reproductive age. This is the first study to investigate the trends and population-attributable fraction (PAF) of obesity, and the interaction effects of education and wealth on obesity among reproductive-age women aged 15-49 years in ten Asian countries. This cross-sectional study examined the most recent (2000 to 2022) Demographic and Health Surveys (DHS) data from ten Central and Southeast Asian countries. Multilevel multinomial logistic regression models were used to compute odds ratios (ORs). PAFs adjusted for communality were calculated using adjusted ORs and prevalence estimates for each risk factor. This study included a weighted sample of 743,494 reproductive-age women. All the countries showed an increasing trend for obesity and a decreasing trend for underweight, except for the Maldives. The highest PAFs of obesity were associated with women who were married (PAF = 22.2%; 95% CI 22.1, 22.4), aged 35-49 years (PAF = 16.4%; 95% CI 15.5, 17.1), resided in wealthy households (PAF = 14.5%; 95% CI 14.4, 14.5), watched television regularly (PAF = 12.5%; 95% CI 12.1, 12.8), and lived in urban areas (PAF = 7.8%; 95% CI 7.7, 8.0). The combined PAF showed that these five risk factors were associated with 73.3% (95% CI 71.8, 74.9) of obesity among reproductive-age women. Interaction analysis between women's education and household wealth revealed that having a secondary or higher level of education and residing in a wealthier household was associated with a lower risk of obesity (OR = 0.71, 95% CI 0.66, 0.76). The findings of this study suggest that, in order to address the rising rate of obesity among women in Asian countries, education and lifestyle modifications in urban areas should be a priority. Pakistan and the Maldives need to be a priority given the rapidly increasing trends in obesity and underweight subpopulations in their respective countries.

Indexed as

ObesityAdolescentAdultAsiaCross-Sectional StudiesEpidemicsFemaleHealth SurveysHumansMiddle AgedPrevalenceRisk FactorsSocial Determinants of HealthSocioeconomic FactorsYoung AdultObesity preventionPopulation attributable fractionReproductive-age womenSecondary educationSocial determinants of healthUrbanization

Identifiers

PMID39343972
PMCPMC11439913

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.