Evidence map›Paper›PMID 41514282›Full record

ArticleBMC public health2026

Levels of active ageing and its influencing factors among older adults: a scoping review.

Jiawei Jiang, Ai Theng Cheong, Shariff Ghazali Sazlina, Khuan Lee, Dongmei Chu, Luhuan Yang, Siqi Li, Shanyu Wu, Ranita Hisham Shunmugam, Huijing Xu

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jiawei JiangDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID 0009-0000-3502-6727
Ai Theng CheongDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. cheaitheng@upm.edu.my.ORCID 0000-0002-3895-530X
Shariff Ghazali SazlinaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID 0000-0002-5737-7226
Khuan LeeDepartment of Nursing, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Dongmei ChuDepartment of Nursing, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Luhuan YangDepartment of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Siqi LiDepartment of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Shanyu WuDepartment of Nursing, Faculty of Nursing, Yanbian University, Yanji City, Jilin Province, China.
Ranita Hisham ShunmugamDepartment of Library and Information Science, Faculty of Arts and Social Sciences, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-3356-2291
Huijing XuCollege of Nursing, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe growing population of older adults in the 21st century has made ageing a global concern. Exploring the factors associated with active ageing is therefore of interest to further promote transitions to it among older adults.

methodsA systematic literature search was conducted for this scoping review, and relevant articles were retrieved up to August 2024. The databases searched included PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and China National Knowledge Infrastructure (CNKI). Studies with quantitative, qualitative, or mixed designs were extracted. We included those that involved individuals aged 60 years or older and reported on the level and its influencing factors of active ageing. We used a health ecological model to analyse and synthesise factors influencing active ageing. In addition, all included studies were evaluated.

resultsOur search identified 23,469 studies, 65 of which were included in this review. The quality ratings were positive for 53 studies. Nineteen instruments were used to evaluate active ageing. The levels of active ageing varied widely across studies, owing to the diverse instruments used and population characteristics. Developed countries consistently reported higher levels of active ageing than developing ones. Five core themes influence active ageing: demographic profile, socioeconomic status and environment, health-related factors, psychological factors and mental health, and social connections. The demographic profile primarily encompassed intrapersonal and interpersonal factors, whereas the remaining themes reflected interactions across various levels of the health ecological model.

conclusionHigh levels of active ageing were reported in several developed countries. Providing support to help older adults better engage in active ageing can be highly beneficial.

trial registrationThis review was registered in the International Platform of Registered Systematic Review and Metaanalysis Protocol (INPLASY2023120083).

Indexed as

AgingHealthy AgingAgedHumansMiddle AgedSocioeconomic FactorsActive ageingFactorsOlder adultsScoping review

Identifiers

PMID41514282
PMCPMC12882181

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.