Evidence map›Paper›PMID 35870914›Full record

ArticleBMC public health2022

Urban-rural disparities in the healthy ageing trajectory in China: a population-based study.

Haomiao Li, Yixin Zeng, Li Gan, Yusupujiang Tuersun, Jiao Yang, Jing Liu, Jiangyun Chen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  3. The Association Between Urbanization and Frailty Status in China.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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  10. Black Carbon Air Pollution and Incident Mortality Among the Advance-Aged Adults in China: A Prospective Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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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

7 authors at 3 institutions in 1 country.

Haomiao Li *School of Political Science and Public Administration, Wuhan University, Bayi Road No.299, Wuhan, Hubei Province, China.
Yixin Zeng *School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
Li GanSchool of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
Yusupujiang TuersunSchool of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
Jiao YangSchool of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
Jing LiuGuangzhou First People's Hospital, Guangzhou, Guangdong Province, China. ljdana@126.com.
Jiangyun Chen *School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China. cjy112@i.smu.edu.cn.ORCID 0000-0002-5731-7039
Southern Medical University · CNGuangzhou First People's Hospital · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China.

methodsA total of 9402 respondents aged 45 years and older interviewed in four waves (2011, 2013, 2015 and 2018) were selected from the China Health and Retirement Longitudinal Study. Healthy ageing score was calculated through item response theory. A latent growth mixture model (LGMM) was applied to distinguish the trajectory of healthy aging. A multinomial logistics regression model (MLRM) was used to explore the relationship between urban-rural areas and healthy aging trajectories, and further to explore associated factors in rural and urban areas separately.

resultsThe healthy ageing score was lower in rural areas than urban areas in each survey wave. Five classes ("continuing-low", "continuing-middle", "continuing-middle-to-high", "significantly-declining", "continuing-high") were grouped through LGMM. The MLRM results showed that urban living was significantly associated with a higher likelihood of being healthy (for [continuing-low/continuing-high]: β = - 1.17, RRR = 0.31, P < 0.001, 95% CI = 0.18-0.53; and for [continuing-middle/continuing-high]: β = - 0.53, RRR = 0.59, P < 0.001, 95% CI = 0.49-0.71).

conclusionHealthy ageing is a prominent objective in the development of a country, and rural-urban disparities are an essential obstacle to overcome, with the rural population more likely to develop a low level of healthy ageing trajectory. Prevention and standardized management of chronic diseases should be enhanced, and social participation should be encouraged to promote healthy ageing. The policy inclination and resource investment should be enhanced to reduce disparity in healthy ageing between urban and rural areas in China.

Indexed as

Healthy AgingRural PopulationAgedChinaHumansLongitudinal StudiesMiddle AgedUrban PopulationChinaHealth ageingtrajectoryUrban and rural disparity

Identifiers

PMID35870914
PMCPMC9308310
OpenAlexW4286715989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.