Evidence map›Paper›PMID 39885453›Full record

ArticleBMC public health2025

Effect of retirement on the body mass index in China: a nationwide study based on the regression discontinuity design.

Jiarun Mi, Xueyan Han, Hanchao Cheng, Zhaoyang Pan, Jian Guo, Hailu Zhu, Qi Wang, Yicong Wang, Yuanli Liu, Congyi Zheng and 6 more

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Jiarun MiSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Xueyan HanSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Hanchao ChengSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Zhaoyang PanSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Jian GuoState Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Hailu ZhuSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Qi WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Yicong WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Yuanli LiuSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Congyi ZhengDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Xin WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Xue CaoDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Zhen HuDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Yixin TianDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Zengwu WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular, Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China. wangzengwu@foxmail.com.
Tianjia GuanSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China. gtj@sph.pumc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRetirement represents a significant life transition and is associated with individual health outcomes. Previous studies on the health effects of retirement have yielded inconsistent conclusions. This study aimed to estimate the impact of retirement on the body mass index (BMI) and BMI-defined overweight and obesity.

methodsBetween 2012 and 2015, this study included 88,471 public sector participants from the Chinese Hypertension Survey (CHS) while excluding those working in the private sector. By utilizing the fuzzy regression discontinuity design (FRDD), this research evaluated the direct impact of retirement on the BMI, as well as on the overweight and obesity rates. Additionally, the study examined variations in the effects of retirement among groups stratified by sex and educational attainment.

resultsThe fully adjusted model suggested that retirement did not have a significant impact on the BMI or overweight and obesity rates of the overall population. Notably, retirement significantly impacted the male participants, resulting in an increase in their BMI of 2.18 (95% CI 0.23-4.13), but did not affect the BMI of the female participants. Furthermore, individuals with lower educational backgrounds experienced more pronounced BMI changes upon retirement.

conclusionsOn average, retirement has no significant impact on the BMI and overweight and obesity rates. Retirement leads to an increase in the BMI among men but does not affect that in women. When considering adjustments to existing retirement policies, the differential health effects of retirement across various populations should be taken into account.

Indexed as

Body Mass IndexRetirementAdultAgedChinaFemaleHealth SurveysHumansMaleMiddle AgedObesityOverweightRegression AnalysisBMIHealth impactRegression discontinuity designRetirement

Identifiers

PMID39885453
PMCPMC11780768

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.