Evidence map›Paper›PMID 41316113›Full record

ArticleBMC public health2025

The predicament of rural middle-aged and older adults in preparing for active aging: a qualitative study.

Meiling Yang, Jiachun Lu, Yingai Cui, Yadan Liu, Thomas Kwok Shing Wong, Yanli Hu

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Meiling YangSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Jiachun LuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Yingai CuiDepartment of Nursing Research, Guangdong Medical University, Dongguan, China.
Yadan LiuSchool of Nursing, Guangzhou Medical University, Guangzhou, China. 812151684@qq.com.
Thomas Kwok Shing WongSchool of Nursing, Guangzhou Medical University, Guangzhou, China. thomaswong@ny.ed.hk.
Yanli HuSchool of Nursing, Guangzhou Medical University, Guangzhou, China. huyanli1212@126.com.

Funding

Dongguan Sci-tech Commissioner Program No.20231800500372The Project for Improving Scientific Research Capabilities of Guangzhou Medical University in 2024 No.2024SRP043
6 · The paper itself

Abstract

objectiveThis study aims to explore the preparedness and barriers faced by rural middle-aged and older adults coping with active aging, to reveal the challenges of aging management and provide recommendations for promoting active aging in rural China.

methodsThis study used a qualitative design with one-on-one semi-structured interviews and purposive sampling to select middle-aged and older adults from rural areas in Tongren, Guizhou Province, China as the study participants. NVivo 14 software and content analysis method were employed to analyze the interview data and extract key themes.

resultsA total of 17 participants were included in the study. Four main themes were identified: individual-level determinants, family-level determinants, societal-level determinants, and environment-level determinants, along with twenty-five sub-themes.

conclusionThe preparedness of rural middle-aged and older adults for active aging is generally low, and they face a complex array of challenges. Multiple sectors of society must develop measures to enhance the awareness of active aging among rural residents, alleviate economic pressures, establish a sound social security system, and promote the high-quality development of active aging in rural areas.

Indexed as

AgingHealthy AgingRural PopulationAgedChinaFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchActive agingMiddle-aged and older adultsQualitative studyRural

Identifiers

PMID41316113
PMCPMC12751786

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.