Evidence map›Paper›PMID 36962350›Full record

ArticlePLOS global public health2022

Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance.

Mohammad Bellal Hossain, Md Nuruzzaman Khan, John C Oldroyd, Juwel Rana, Dianna J Magliago, Enayet K Chowdhury, Md Nazmul Karim, Rakibul M Islam

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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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

8 authors at 7 institutions in 2 countries.

Mohammad Bellal HossainDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-4615-5086
Md Nuruzzaman KhanDepartment of Population Sciences, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-4550-4363
John C OldroydSchool of Behavioral and Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia.
Juwel RanaDepartment of Public Health, School of Health and Life Sciences, North South University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-5597-664X
Dianna J MagliagoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9507-6096
Enayet K ChowdhurySchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9709-794X
Md Nazmul KarimSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0003-2604-9649
Rakibul M IslamSouth Asian Institute for Social Transformation (SAIST), Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0889-8658
Monash University · AUAsian University of Bangladesh · BDAustralian Catholic University · AUCurtin University · AUJatiya Kabi Kazi Nazrul Islam University · BDNorth South University · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18-95 years available from the most recent Bangladesh Demographic and Health Survey 2017-18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of diabetes and prediabetes were age-standardized with direct standardization, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance. The overall age-standardised prevalence of diabetes was 9.2% (95%CI 8.7-9.7) (men: 8.8%, women: 9.6%), and prediabetes was 13.3% (95%CI 12.7-13.9) (men: 13.0%, women: 13.6%). Among people with diabetes, 61.5% were unaware that they had the condition. 35.2% took treatment regularly, and only 30.4% of them had controlled diabetes. Factors associated with an increased prevalence of having diabetes were increasing age, male, overweight/obesity, hypertension, being in the highest wealth quintile, and living in the Dhaka division. People currently employed and living in the Rangpur division were less likely to have diabetes than those currently not employed and living in the Barishal division. Diabetes and prediabetes affect a substantial proportion (over one-quarter) of the Bangladeshi adult population. Continuing surveillance and effective prevention and control measures, focusing on obesity reduction and hypertension management, are urgently needed.

Identifiers

PMID36962350
PMCPMC10021925
OpenAlexW4281679934

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read76
identifiers read5
Read underepoch 390

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.