Evidence map›Paper›PMID 39839390›Full record

ArticleFrontiers in public health2024

Sex and gender differentials in the prevalence of obesity and its association with multimorbidity among reproductive-aged individuals in India.

Jogesh Murmu, Abhinav Sinha, Ritik Agrawal, Bhagyashree Rout, Srikanta Kanungo, Sanghamitra Pati

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

6 authors.

Jogesh Murmu *Department of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Abhinav Sinha *South Asian Institute of Health Promotion, Bhubaneswar, Odisha, India.
Ritik AgrawalDepartment of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Bhagyashree RoutDepartment of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Srikanta KanungoDepartment of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Sanghamitra PatiDepartment of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increase in the prevalence of obesity has become a common public health issue worldwide, with low- and middle-income countries (LMICs) like India witnessing an equal rise. It makes a considerable contribution to chronic diseases as it is a major risk factor for other chronic illnesses. Multimorbidity, or the presence of two or more chronic illnesses, is becoming more common in LMICs, resulting in poor health outcomes. However, research on obesity and multimorbidity in younger populations in LMICs is scarce, with most studies focusing on older persons. The study analyzed sex differences in the prevalence of obesity among reproductive-aged persons and its association with multimorbidity, as well as investigated their health-seeking behaviors. Methods: Data from the National Family Health Survey (NFHS-5) involving 751,831 females and 100,656 males were analyzed. Multimorbidity was defined by the presence of two or more chronic conditions out of the eight included chronic conditions. Multivariable logistic regression was applied to identify factors associated with obesity. Result: The prevalence of obesity was 48.90% (95% CI: 48.60-49.20%) among males and 57.10% (95% CI: 57.00-57.22%) among females. Waist-to-Hip Ratio (WHR) revealed higher obesity rates in females with multiple chronic conditions (70.8%) compared to males (65.1%). Males with multimorbidity had a 47% higher likelihood of having obesity (AOR: 1.47, 95% CI: 1.13-1.89, Conclusion: The study highlights high obesity prevalence among reproductive-aged individuals in India, with females having higher obesity rates overall. However, males with multimorbidity exhibit a significantly greater likelihood of obesity than males without. These findings emphasize the need for gender-specific public health strategies addressing obesity and multimorbidity, including promoting healthier diets, increasing physical activity, and improving disease management for both women and men.

Indexed as

MultimorbidityObesityAdolescentAdultChronic DiseaseFemaleHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceRisk FactorsSex FactorsYoung Adultchronic conditionsgenderIndiamultimorbidityNFHS-5obesityreproductive-aging populationsex

Identifiers

PMID39839390
PMCPMC11746898

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.