Evidence map›Paper›PMID 38768141›Full record

ArticlePLOS global public health2024

Prevalence of dyslipidemia, hypertension and diabetes among tribal and rural population in a south Indian forested region.

Sumanth Mallikarjuna Majgi, Yogish Channa Basappa, Srikanta Belagihalli Manjegowda, Savitha Nageshappa, Harshini Suresh, Giridhar R Babu, Prashanth Nuggehalli Srinivas

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

7 authors.

Sumanth Mallikarjuna MajgiDepartment of Community Medicine, Mysore Medical College and Research Institute, Mysore, India.ORCID https://orcid.org/0000-0002-4254-7093
Yogish Channa BasappaHealth Equity Cluster, Institute Public Health, Bengaluru, India.ORCID https://orcid.org/0000-0002-5045-5121
Srikanta Belagihalli ManjegowdaResearch Scientist II, Multi-Disciplinary Research Unit, Mysore Medical College and Research, Mysore, India.ORCID https://orcid.org/0000-0003-4694-1423
Savitha NageshappaResearch Scientist-I, Multi-Disciplinary Research Unit, Mysore Medical College and Research, Mysore, India.
Harshini SureshResearch Fellow, SingHealth Duke-NUS Global Health Institute, Singapore, Singapore.ORCID https://orcid.org/0000-0003-0607-5647
Giridhar R BabuDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-4370-8933
Prashanth Nuggehalli SrinivasHealth Equity Cluster, Institute Public Health, Bengaluru, India.ORCID https://orcid.org/0000-0003-0968-0826

Funding

Wellcome Trust
6 · The paper itself

Abstract

While NCDs are in rise globally, tribal and rural populations residing near to reserve forests with limited exposure to modern lifestyles may bear a unique burden. This study investigates the prevalence and risk factors of hypertension, diabetes, and dyslipidemia among these communities. We conducted a cross-sectional study between 2018 and 2020 in the forest-dwelling population of Chamarajanagar, India. Using multistage stratified sampling based on caste and remoteness, we enrolled 608 participants aged over 18 years, including 259 non-tribal and 349 tribal individuals. Data collection includes the administration of STEPS questionnaire and measurement of fasting blood sugar, lipid levels, and blood pressure. The prevalence of diabetes, hypertension, and dyslipidemia were 4.6%, 28.8%, and 85.7%, respectively, among the study population. We also found abnormal levels of low-density lipoprotein (LDL), high-density lipoprotein (HDL), Triglycerides (TGA), Total cholesterol (TC), and very low-density lipoprotein (VLDL)in 4.9%, 82.4%, 22.7%, 5.8%, and 7.4% of participants, respectively. Significant differences were observed in diabetes, LDL abnormality, TGA abnormality, VLDL abnormality, and TC abnormality, but not in hypertension, dyslipidemia, or HDL abnormality, across the Socio Geographic Discrimination Index. We found a significant difference in diabetes and HDL abnormality, but not in hypertension, dyslipidemia, LDL abnormality, TGA abnormality, TC abnormality, or VLDL abnormality, between tribal and non-tribal populations living in the forest-dwelling area. Waist circumference was a significant independent predictor of diabetes among tribal participants, while wealth index, age, and waist circumference were significant predictors of hypertension. There were no significant predictors for dyslipidemia among tribal participants. Our study suggests that tribal population living in a remote area are at a lower risk of developing diabetes compared to non-tribal populations living in the same geographic area. However, the prevalence of hypertension and dyslipidemia among tribal populations remains high and comparable to that of the general population.

Identifiers

PMID38768141
PMCPMC11104681

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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.