Evidence map›Paper›PMID 31784434›Full record

ArticleBMJ open2019

Prevalence of multimorbidity among Bangladeshi adult population: a nationwide cross-sectional study.

Nusrat Khan, Mahfuzar Rahman, Dipak Mitra, Kaosar Afsana

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Nusrat KhanResearch and Evaluation Division, BRAC, Dhaka, Bangladesh nusrat.khan@brac.net.
Mahfuzar RahmanResearch and Evaluation Division, BRAC, Dhaka, Bangladesh.
Dipak MitraSchool of Public Health, North South University, Dhaka, Dhaka District, Bangladesh.
Kaosar AfsanaHealth, Nutrition and Population Program, BRAC, Dhaka, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to report prevalence and evaluate the association between multimorbidity and associated risk factors in the adult population of Bangladesh.

designA cross-sectional study was conducted using a multistage clustered random sampling strategy.

settingThe study was conducted among the general population of 58 districts in Bangladesh.

participantsA total of 12 338 male and female individuals aged ≥35 were included for analysis in this study. Identified through a household listing conducted prior to the study, from 15 297 individuals meeting the inclusion criteria, 12 338 participants were included based on availability during data collection, consent and health condition. OUTCOME MEASURES: Multimorbidity in terms of hypertension, diabetes, cancer, cardiovascular diseases, stroke and chronic obstructive pulmonary disease.

resultsApproximately 8.4% (95% CI 7.0 to 9.7) of individuals suffer from multimorbidity, of which hypertension accounted for (30.1%) followed by diabetes (10.6%). The mean age of the population was 58.6 (SD ±9.2) years. The prevalence of multimorbidity was lower among men (7.7%) compared with women (8.9%). The likelihood of having multimorbidity among obese individuals were more than double than people with normal body mass index (BMI). Physical activity protected individuals from developing multimorbidity: however, the physical activity adjusted OR was 0.5 (95% CI 0.2 to 1.2). After adjusting for all covariates, higher age, higher educational status, economic status, and higher BMI were found to be significantly associated with the odds of developing multimorbidity, with an overall adjusted OR of 0.02 (95% CI 0.01 to 0.02).

conclusionThis study reported a high prevalence of multimorbidity in Bangladesh, although it explored the burden and identified risk factors considering only six chronic diseases. Further detailed exploration through longitudinal studies considering a wider range of diseases is needed to document the actual burden, develop effective preventive measures and clinical guidelines to improve the quality of life of the population.

Indexed as

MultimorbidityAdultAgedAged, 80 and overBangladeshCost of IllnessCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk Factorsglobal healthmultimorbiditynon-communicable disease (NCDS)risk factors

Identifiers

PMID31784434
PMCPMC6924740

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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.