Evidence map›Paper›PMID 33209781›Full record

ArticleJournal of family medicine and primary care2020

Which obesity index is a better predictor for cardiometabolic risk factors in a young adult rural population of Telangana State, India?

G N Kusneniwar, Guru R Jammy, D Shailendra, C H Bunker, P S Reddy

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 84% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Trial
  2. Vitamin BClinical nutrition ESPEN · 2025
    Observational
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 at 4 institutions in 2 countries.

G N KusneniwarCommunity Medicine and Family Medicine, AIIMS, Bibinagar (Near Hyderabad), Bhuvanagiri-Yadadari District, Telangana, India.
Guru R JammyDepartment of Community Medicine, SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur (V), Medchal (M) and District, Telangana, India.
D ShailendraDepartment of Pharmacology, SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur (V), Medchal (M) and District, Telangana, India.
C H BunkerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
P S ReddySchool of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA.
University of Pittsburgh · USAll India Institute of Medical Sciences · INMediciti Institute of Medical Sciences · INScience Health Allied Research Education · IN

Funding

SHARE India University Pittsburgh Population and Intervention Research TrainingD43TW009078 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BUNKER, CLAREANN H. · 2011 to 2015
$1.0M
FIC NIH HHS D43 TW009078
6 · The paper itself

Abstract

backgroundWaist-to-height ratio (WHtR) has recently been found to be a useful marker of cardiovascular disease (CVD) risk in populations in developed countries; the comparison of various obesity indices, particularly WHtR, has received little study in India and other developing countries.

aimThis study aimed to compare the associations of common obesity indices, body mass index (BMI), waist circumference, waist-hip ratio (WHR), and WHtR, with cardiometabolic risk factors in a young, rural Indian population. SUBJECTS AND

methodsAnthropometric measurements and cardiometabolic risk factors (hypertension, diabetes, and dyslipidemia) were measured using standardized protocols at the baseline visit of the Longitudinal Indian Family hEalth Pilot Study, a population-based cohort study of child-bearing age women and their husbands in rural Telangana, India.

resultsIn comparison with most previously studied populations, this population sample (642 males and 980 females) was younger; had lower BMI; and lower rates of diabetes, hypertension, and abnormal lipids (exception of high rates of low high-density lipoprotein). With regard to each of the cardiometabolic risk factors, the associations across the obesity indices tended to be significant, but weak, and similar to each other, whereas the association with WHR was less strong.

conclusionAlthough WHtR was not a better predictor of cardiometabolic risk than conventional obesity indices, in this young adult Indian population, it was equally good. This raises the prospect of using WHtR as an alternative to BMI for assessing cardiometabolic risk in Indians considering the ease with which it can be easily done and interpreted.

Indexed as

Considered risk factorsobesity indiceswaist-to-height ratio (WHtR)

Identifiers

PMID33209781
PMCPMC7652207
OpenAlexW3088215860

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.