Evidence map›Paper›PMID 36407989›Full record

ArticleFrontiers in public health2022

Retirement and elderly health in China: Based on propensity score matching.

Xin Peng, Jin Yin, Yi Wang, Xinrui Chen, Liyuan Qing, Yunna Wang, Tong Yang, Dan Deng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Xin PengDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Jin YinDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Yi WangPublic Health Center, Tianfu New Area Disease Prevention and Control Center, Sichuan, China.
Xinrui ChenDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Liyuan QingDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Yunna WangDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Tong YangDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Dan DengDepartment of Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNChongqing Public Health Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between retirement and health is important to the formulation of retirement related policies but is a controversial topic, perhaps because selection bias has not been well-addressed in previous studies through traditional analysis methods. Using data from the China Health and Retirement Longitudinal Study (CHARLS), this study explored the potential impact of retirement on the health of elderly Chinese individuals, adjusting for selection bias. Methods: We balanced the baseline differences between retirement groups and working groups based on nearest neighbor matching and genetic matching with a generalized boosted model (GBM), and regression analysis was used to evaluate the impact of retirement on the health of elderly individuals. Results: No significant difference was found in any of the covariates between the two groups after matching. Genetic matching performed better than nearest neighbor matching in balancing the covariates. Compared to the working group, the retirement group had a 0.78 (95% CI: 0.65-0.94, Conclusion: Retirement can exert a beneficial effect on the health of elderly individuals. Therefore, the government and relevant departments should consider this potential effect when instituting policies that delay retirement.

Indexed as

PainRetirementAgedChinaFemaleHumansLongitudinal StudiesMalePropensity ScoreChinaelderly individualsgeneralized boosted modelgenetic matchinghealthpropensity score matchingretirement

Identifiers

PMID36407989
PMCPMC9669292
OpenAlexW4308415862

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.