Evidence map›Paper›PMID 31517064›Full record

ArticleGlobal health research and policy2019

Prevalence and factors associated with underweight, overweight and obesity among women of reproductive age in India.

Gulam Muhammed Al Kibria, Krystal Swasey, Md Zabir Hasan, Atia Sharmeen, Brendan Day

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Article in Global health research and policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. The New Challenge of Obesity - Obesity-Associated Nephropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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

5 authors.

Gulam Muhammed Al Kibria1Department of Epidemiology and Public Health, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD-21201 USA.ORCID 0000-0002-7037-6658
Krystal Swasey1Department of Epidemiology and Public Health, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD-21201 USA.
Md Zabir Hasan2Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD-21205 USA.
Atia Sharmeen3School of Community Health and Policy, Morgan State University, Baltimore, MD-21251 USA.
Brendan Day1Department of Epidemiology and Public Health, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD-21201 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough the prevalence of underweight is declining among Indian women, the prevalence of overweight/obesity is increasing. This study examined the prevalence and factors associated with underweight and overweight/obesity among reproductive-aged (i.e., 15-49 years) women in India.

methodsThis cross-sectional study analyzed data from the 2015-16 National Family Health Survey. The Asian and World Health Organization (WHO) recommended cutoffs for body mass index (BMI) were used to categorize body weight. The Asian and WHO BMI cutoffs for combined overweight/obesity were ≥ 23 and ≥ 25 kg/m

resultsAmong 647,168 women, the median age and BMI was 30 years and 21.0 kg/m

conclusionThe prevalence of both non-normal weight categories (i.e., underweight and overweight/obesity) was high. A large proportion of women are possibly at higher risks of cardiovascular and reproductive adverse events due to these double nutrition burdens. Implementing large-scale interventions based on these results is essential to address these issues.

Indexed as

Body mass indexBody weightCorrelateFactorIndiaObesityOverweightPrevalenceUnderweightWomen

Identifiers

PMID31517064
PMCPMC6729094

What Socratic holds

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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 Socratic graph.