Evidence map›Paper›PMID 37780434›Full record

ArticleFrontiers in public health2023

How long were older people expected to live with or without sarcopenia? Multistate modeling of a national cohort study.

Bo Ye, Yujie Wang, Jixiang Xu, Junjia Jiang, Shitong Yang, Jie Chen, Zhijun Bao, Junling Gao

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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 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Bo YeHuadong Hospital, Fudan University, Shanghai, China.
Yujie WangSchool of Public Health, Fudan University, Shanghai, China.
Jixiang XuSchool of Public Health, Fudan University, Shanghai, China.
Junjia JiangSchool of Public Health, Fudan University, Shanghai, China.
Shitong YangSchool of Public Health, Fudan University, Shanghai, China.
Jie ChenHuadong Hospital, Fudan University, Shanghai, China.
Zhijun BaoHuadong Hospital, Fudan University, Shanghai, China.
Junling GaoSchool of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Sarcopenia is well known to be associated with mortality, but there is a lack of evidence on the estimates of life expectancy (LE) for sarcopenia in China. This study aims to estimate total life expectancy (TLE) and sarcopenia-specific LE in community-dwelling older Chinese adults with and without sarcopenia. Methods: This study included participants aged 60 years and older who enrolled in the cohort in 2011 and 2013 and at least completed one follow-up until 2015 as part of the China Health and Retirement Longitudinal Study (CHARLS). The criteria for defining sarcopenia were based on the guidelines established by the Asian Working Group on Sarcopenia in 2019. TLE and sarcopenia-specific LE were estimated for the total population and subgroups using continuous-time multistate modeling. Results: A total of 6,029 participants (49.2% women) with an average age of 68.4 (SD: 6.56) years were included in the study. The baseline prevalence of sarcopenia and possible sarcopenia was 19.5 and 44.9%, respectively. We observed that sarcopenia stages naturally deteriorated to worse stages (including death, by 24.4%) and returned to better stages (17.1%) during a median follow-up of 3.92 years (IQR: 2.00 ~ 4.00). The average TLE at the age of 60 was 20.9 [95% CI: 20.2-21.5] years (22.1 [95% CI: 19.6-24.6] for non-sarcopenic older adults, 20.9 [95% CI: 19.5-22.3] for possible sarcopenic, and 18.7 [95% CI: 16.4-21.1] for sarcopenic). Men, former and current smokers, and those living in northwest China had less TLE. Sarcopenic older adults, those with lower education, those who are unmarried, those with agriculture hukou, and those living in rural and northwest China were expected to live fewer years with non-sarcopenia. Sarcopenic older people, men, those with agriculture hukou, and those living in rural and southwest China were expected to live more years with sarcopenia. Discussion: The results improved our understanding of the relationship between sarcopenia and life expectancy. We suggested that targeted strategies should be considered in high-risk populations and underdeveloped regions to prevent sarcopenia and improve non-sarcopenic life years for the older population.

Indexed as

SarcopeniaAdultAgedCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsYoung Adultlife expectancymultistate modelpossible sarcopeniasarcopeniatransitions

Identifiers

PMID37780434
PMCPMC10539905

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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.