Evidence map›Paper›PMID 35850584›Full record

ArticleBMC geriatrics2022

Independent and joint associations of skeletal muscle mass and physical performance with all-cause mortality among older adults: a 12-year prospective cohort study.

Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Tsai-Chung Li, Cheng-Chieh Lin

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

6 authors at 2 institutions in 1 country.

Chia-Ing LiSchool of Medicine, College of Medicine, China Medical UniversityJingmao RdBeitun Dist, No. 100, Sec. 1, 406040, Taichung, Taiwan.
Chiu-Shong LiuSchool of Medicine, College of Medicine, China Medical UniversityJingmao RdBeitun Dist, No. 100, Sec. 1, 406040, Taichung, Taiwan.
Chih-Hsueh LinSchool of Medicine, College of Medicine, China Medical UniversityJingmao RdBeitun Dist, No. 100, Sec. 1, 406040, Taichung, Taiwan.
Shing-Yu YangDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
Tsai-Chung LiDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan. tcli@mail.cmu.edu.tw.
Cheng-Chieh LinSchool of Medicine, College of Medicine, China Medical UniversityJingmao RdBeitun Dist, No. 100, Sec. 1, 406040, Taichung, Taiwan. cclin@mail.cmuh.org.tw.
China Medical University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecreased skeletal muscle mass and low physical performance are independently associated with increased mortality in elderly individuals. However, little is known about the effects of skeletal muscle mass combined with physical performance on the prediction of mortality risk among community-dwelling older adults. This study aimed to determine the combined effects of skeletal muscle mass and physical performance on total mortality.

methodsA community-based prospective cohort study was conducted among 641 participants aged 65 and older in 2009. The height-adjusted skeletal muscle index (hSMI) and the weight-adjusted SMI (wSMI) were determined by dual-energy X-ray absorptiometry examination. Physical performance tests measured at baseline included gait speed (GS), timed up-and-go (TUG) test, timed chair stand (TCS), weight-adjusted leg press (WaLP), and handgrip strength (HS). Cox proportional hazards regression models were applied to determine the adjusted hazard ratios (HRs) of mortality with 95% confidence intervals (95% CIs) for baseline skeletal muscle mass, physical performance, and traditional risk factors.

resultsDuring the follow-up of 12 years, 198 (30.89%) participants died. Low hSMI, low GS, high TUG, high TCS, low WaLP, and low HS were associated with high risks of mortality after the adjustment for confounders. The results of receiver operating characteristic (ROC) curve analyses revealed the values of ROC for models with additional consideration for TUG or all indicators significantly improved the discriminatory ability of mortality compared with the model with traditional factors (all P < 0.05). Elders with low hSMI and low GS (HRs = 4.33, 95% CI: 2.76-6.78), high TUG (4.11, 2.60-6.48), high TCS (2.97, 1.92-4.59), low WaLP (3.19, 2.13-4.79), and low HS (4.08, 2.70-6.17) were associated with high risks of mortality compared with those with high hSMI and their corresponding counterparts.

conclusionThe hSMI and physical performance are significantly associated with increased risks of all-cause mortality. The combined use of hSMI and physical performance can provide improved risk stratification, which may be appropriately used as a screening tool targeting high-risk elders for the effective prevention of sarcopenia-related mortality.

Indexed as

Hand StrengthSarcopeniaAgedCross-Sectional StudiesHumansMuscle, SkeletalMuscle StrengthPhysical Functional PerformanceProspective StudiesAll-cause mortalityPhysical performanceSkeletal muscle mass

Identifiers

PMID35850584
PMCPMC9295364
OpenAlexW4285730851

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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.