Evidence map›Paper›PMID 38978766›Full record

ArticleHealth science reports2024

Hypertension, diabetes, and hypercholesterolemia in Bangladesh: Evaluating role of physical activity from cross-sectional STEPS 2018 survey.

Raaj Kishore Biswas, Srizan Chowdhury, Sorif Hossain, Promit Barua Chowdhury

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

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.

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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.

Raaj Kishore BiswasSchool of Health Sciences, Faculty of Medicine and Health The University of Sydney New South Wales Australia.ORCID 0000-0003-4294-6323
Srizan ChowdhuryInstitute of Statistical Research and Training University of Dhaka Dhaka Bangladesh.
Sorif HossainDepartment of Statistics Noakhali Science and Technology University Noakhali Bangladesh.ORCID 0000-0001-8399-4917
Promit Barua ChowdhuryInstitute of Statistical Research and Training University of Dhaka Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The objective of this study was to assess current condition of three noncommunicable diseases (NCDs)-diabetes, hypertension, and hypercholesterolemia and vulnerable cohorts among adults in Bangladesh. Methods: The STEPwise Approach to the NCD Risk Factor Surveillance survey of 2018 was analyzed to evaluate the association between NCDs and sociodemographic factors, levels of physical activity, and behavioral measurements. Complex survey weight-adjusted logistic models were fitted. Results: From 6875 samples, prevalence of diabetes, hypertension and hypercholesterolemia were 27.3%, 9.8%, and 30.2%, respectively. The prevalence of the three NCDs were higher among older respondents. Low occupational activity with obese-BMI status people was more prone to NCDs. Lower prevalence of hypercholesterolemia was observed in Rangpur, Rajshahi, and Mymensingh, whereas lesser diabetes in Khulna region. Likelihood of NCDs were higher among highly educated, urban residents with low physical activity. Lesser physical activity, and lack of weight maintenance were found to be key factors in higher rates of NCDs in Bangladesh. Conclusion: Greater education and less strenuous profession led to a higher chance of NCDs. Overall, physical activity and maintenance of weight seem to be factors driving higher rates of NCDs in Bangladesh. As a preventive measure against NCDs, an active lifestyle is to be encouraged, particularly to the most vulnerable cohort.

Indexed as

BangladeshBMInoncommunicable diseasesphysical activitiesSTEPSweight

Identifiers

PMID38978766
PMCPMC11228104

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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.