Evidence map›Paper›PMID 37408749›Full record

ArticleFrontiers in public health2023

Self-rated health, interviewer-rated health, and objective health, their changes and trajectories over time, and the risk of mortality in Chinese adults.

Shiyi Shan, Jin Cao, Ke Tang, Siqing Cheng, Ziyang Ren, Shuting Li, Weidi Sun, Leying Hou, Qian Yi, Dingwan Chen and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
–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

5 citing papers in PubMed.

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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

11 authors.

Shiyi ShanSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jin CaoSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Ke TangSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Siqing ChengDepartment of Orthopedic Surgery, The Forth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu, Zhejiang, China.
Ziyang RenSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Shuting LiSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Weidi SunSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Leying HouSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Qian YiSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Dingwan ChenSchool of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Peige SongSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-rated health (SRH), interviewer-rated health (IRH), and objective health reflect the overall health status from different aspects. This study aimed to investigate the associations of SRH, IRH, and objective health with mortality among Chinese older adults. Methods: This study used data from the 2008 (baseline), 2011, 2014 and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey. SRH and IRH were evaluated by questionnaire. Objective health was evaluated by the Chinese multimorbidity-weighted index (CMWI), which incorporated 14 diagnosed chronic diseases. SRH, IRH, and CMWI were assessed as: (1) baseline levels; (2) longitudinal changes by subtracting the values obtained in 2008 from the corresponding values in 2014; (3) trajectories by Group-Based Trajectory Modeling, respectively. The Cox proportional hazards model was used to explore the associations of baseline SRH, IRH, and CMWI, their changes, and trajectories with mortality. Results: A total of 13,800 participants were included at baseline (2008). The baseline SRH ([hazard ratio] 0.93, [95% confidence interval] 0.91-0.96), IRH (0.84, 0.81-0.87), and CMWI (0.99, 0.98-1.00) in 2008 were significantly associated with 10-year mortality (2008 to 2018). Among 3,610 participants, the changes of SRH (0.93, 0.87-0.98), IRH (0.77, 0.71-0.83), and CMWI (0.97, 0.95-0.99) from 2008 to 2014 were significantly associated with 4-year mortality (2014-2018). The trajectories were divided into "high SRH/IRH/CMWI" and "low and declining SRH/IRH/CMWI." Compared with "low and declining SRH/IRH/CMWI," "high SRH" (0.58, 0.48-0.70), "high IRH" (0.66, 0.55-0.80), and "high CMWI" (0.74, 0.61-0.89) from 2008 to 2014 were significantly associated with 4-year mortality (2014-2018). Conclusion: Baseline SRH, IRH, and CMWI, their changes and trajectories are all associated with mortality in Chinese older adults. It is possibly necessary to promote the use of cost-effective indicators in primary medical institutions to improve the health management of the older adults.

Indexed as

East Asian PeopleHealth StatusMortalityAgedHumansLongitudinal StudiesProportional Hazards ModelsSelf ReportSurveys and QuestionnairesChinese older adultsinterviewer-rated healthmortalityself-rated healththe multimorbidity-weighted index

Identifiers

PMID37408749
PMCPMC10318337

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LicenceCC BY
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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.