Evidence map›Paper›PMID 37161970›Full record

ArticleInternational health2024

Differential effects of size-specific particulate matter on frailty transitions among middle-aged and older adults in China: findings from the China Health and Retirement Longitudinal Study (CHARLS), 2015-2018.

Zhen Guo, Hui Xue, Lijun Fan, Di Wu, Yiming Wang, Younjin Chung, Yilan Liao, Zengliang Ruan, Wei Du

Abstract read
In one paragraph

Article in International health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Effect of Long-term Exposure to PMSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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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

9 authors.

Zhen GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Hui XueDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Lijun FanDepartment of Medical Insurance, School of Public Health, Southeast University, Nanjing 210009, China.
Di WuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Yiming WangDepartment of Medical Insurance, School of Public Health, Southeast University, Nanjing 210009, China.
Younjin ChungNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Yilan LiaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zengliang RuanDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Wei DuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0003-3622-2265

Funding

Department of Education 1125000172Fundamental Research Funds for the Central Universities 3225002002A1Guangdong Basic and Applied Basic Research Foundation 2019A1515012038National Natural Science Foundation of China 71704192
6 · The paper itself

Abstract

backgroundThis study aimed to assess the long-term effects of size-specific particulate matter (PM) on frailty transitions in middle-aged and older Chinese adults.

methodsWe included 13 910 participants ≥45 y of age from the China Health and Retirement Longitudinal Study (CHARLS) for 2015 and 2018 who were classified into three categories in 2015 according to their frailty states: robust, prefrail and frail. Air quality data were obtained from the National Urban Air Quality Real-time Publishing Platform. A two-level logistic regression model was used to examine the association between concentrations of PM and frailty transitions.

resultsAt baseline, the total number of robust, prefrail and frail participants were 7516 (54.0%), 4324 (31.1%) and 2070 (14.9%), respectively. Significant associations were found between PM concentrations and frailty transitions. For each 10 μg/m3 increase in the 3-y averaged 2.5-μm PM (PM2.5) concentrations, the risk of worsening in frailty increased in robust (odds ratio [OR] 1.06 [95% confidence interval {CI} 1.01 to 1.12]) and prefrail (OR 1.07 [95% CI 1.01 to 1.13]) participants, while the probability of improvement in frailty in prefrail (OR 0.91 [95% CI 0.84 to 0.98]) participants decreased. In addition, the associations of PM10 and coarse fraction of PM with frailty transitions showed similar patterns.

conclusionsLong-term exposure to PM was associated with higher risks of worsening and lower risks of improvement in frailty among middle-aged and older adults in China.

Indexed as

Air PollutantsAir PollutionFrailtyAgedChinaHumansLongitudinal StudiesMiddle AgedParticulate MatterRetirementAir PollutantsParticulate Matterair pollutionfrailtyolder adultsparticulate matter

Identifiers

PMID37161970
PMCPMC10939306

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.