Evidence map›Paper›PMID 29983621›Full record

ArticleTropical medicine and health2018

Structural equation modeling to identify the risk factors of diabetes in the adult population of North India.

Jaya Prasad Tripathy, J S Thakur, Gursimer Jeet, Sanjay Jain

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tropical medicine and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Towards a Parsimonious Pathway Model of Modifiable and Mediating Risk Factors Leading to Diabetes Risk.International journal of environmental research and public health · 2021
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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

4 authors at 2 institutions in 2 countries.

Jaya Prasad Tripathy1International Union Against Tuberculosis and Lung Disease, The Union South East Asia Office, New Delhi, India.
J S Thakur3Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Gursimer Jeet3Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Sanjay Jain3Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · INInternational Union Against Tuberculosis and Lung Disease · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA non-communicable disease risk factor survey (based on World Health Organization STEP approach to Surveillance, i.e., WHO-STEPS) was done in the state of Punjab, India in a multistage stratified sample of 5127 individuals. The study subjects were administered the WHO STEPS questionnaire and also underwent anthropometric and biochemical measurements. This study aimed at exploring the risk factors of diabetes using a Structural Equation Modeling (SEM) approach in the North Indian state of Punjab.

resultsOverall prevalence of diabetes mellitus among the study participants was found out to be 8.3% (95% CI 7.3-9.4%). The final SEM had excellent fit considering the model parameters. The following risk factors deemed to have a direct statistically significant effect on blood sugar status: family history of diabetes (4.5), urban residence (3.1), triglycerides (0.46), increasing waist circumference (0.18), systolic blood pressure (0.11), and increasing age (0.05). There are specific indirect effects of alcohol use (1.43,

conclusionsFamily history of diabetes, urban residence, alcohol use, increasing age, and waist circumference are the key variables affecting diabetes status in the Indian population. The results of this study further strengthens the evidence that lifestyle changes in the form of physical activity and healthy diet are required to prevent and control diabetes. Those with family h/o diabetes constitute a high risk group and should be targeted with regular screening and lifestyle intervention package.

Indexed as

Blood glucoseDiabetes, epidemiologyFamily history of diabetesSTEPS surveyStructural equation modelingWaist circumference

Identifiers

PMID29983621
PMCPMC6019304
OpenAlexW2810704796

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.