Evidence map›Paper›PMID 40115341›Full record

ArticleFrontiers in public health2025

Factors affecting the active aging situation in Bangladesh.

Sadiya Afrin, Md Mehedi Hasan Khan, Md Aminul Haque

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Sadiya AfrinDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
Md Mehedi Hasan KhanDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
Md Aminul HaqueDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The older population in Bangladesh is growing rapidly, from 8.0% in 2020 to 22.0% in 2050. However, the determinants of active aging are scarcely known. Objective: The study aimed to assess the determinants influencing the active aging situation in Bangladesh. Methods: A cross-sectional study was conducted among 518 older adults aged 60 and over. Following the WHO active aging model, the respondents' socio-demographic, personal, behavioral, and physical environment and health and social services characteristics were collected using a semi-structured questionnaire. Multiple linear regression was performed to assess the effect of the determinants on active aging, followed by the bivariate level of analysis. Results: The determinants of active aging were deeply rooted in the respondents' socio-cultural, economic, and spatial conditions. Nine out of 23 determinants, like marital status, income, decision-making capacity, regular walking/physical exercise, smokeless tobacco consumption, newspaper reading as a leisure activity, use of medicine, and health service accessibility, significantly influence active aging. The active aging score was 10-15% higher among the respondents who regularly adhered to the above determinants. Conclusion: Effective initiatives are needed to improve the socio-cultural, economic, and health system-related determinants of active aging to enhance the active aging situation. Concerned bodies of the country, ministries, departments, and development partners should take appropriate measures to increase awareness and the participation of people in lifestyle-related determinants to improve the active aging situation in the country.

Indexed as

AgingHealthy AgingAgedAged, 80 and overBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and Questionnairesactive agingassessmentBangladeshdeterminants of active agingfactors of aging

Identifiers

PMID40115341
PMCPMC11925200

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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.