Evidence map›Paper›PMID 39696545›Full record

ArticleEuropean journal of medical research2024

Prevalence and associated body composition factors of sarcopenia in community-dwelling older adults.

Boshi Wang, Chenyu Nong, Jiayu Zhang, Lihua Deng, Wei Li, Xue Zhang, Peng Liu

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Article in European journal of medical research, 2024. 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

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3 · Its place in the literature

Who cites it

5 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

7 authors.

Boshi WangClinical Nutrition Department, Peking University People's Hospital, Beijing, China.
Chenyu NongClinical Nutrition Department, Peking University People's Hospital, Beijing, China.
Jiayu ZhangClinical Nutrition Department, Peking University People's Hospital, Beijing, China.
Lihua DengGeriatric Medicine Unit, Peking University People's Hospital, Beijing, China.
Wei LiGeriatric Medicine Unit, Peking University People's Hospital, Beijing, China.
Xue ZhangClinical Nutrition Department, Peking University People's Hospital, Beijing, China.
Peng LiuClinical Nutrition Department, Peking University People's Hospital, Beijing, China. liupeng20230604@163.com.

Funding

elderly National Project of Multidisciplinary Management of Major Diseases 2199000764Grant National Key R&D Program of China 2020YFC2005600
6 · The paper itself

Abstract

backgroundThe objective of this investigation was to examine the frequency and determinants related to body composition of sarcopenia among aging individuals residing in the Beijing community through implementation of the diagnostic criteria for sarcopenia outlined by the 2019 Asian Working Group for Sarcopenia (AWGS).

methodsA cross-sectional examination employing multistage cluster sampling was conducted on a sample consisting of 933 individuals aged 50 years or above. The study utilized the AWGS 2019 criteria for muscle mass, muscle strength, and physical function to gauge sarcopenia. In addition, data on demographic characteristics, anthropometry, and body composition were collected. Logistic regression analysis was carried out to ascertain the relationships between sarcopenia and correlated factors.

resultsThe study found that the overall prevalence of sarcopenia was 8.3%. Sex (p < 0.001) and body mass index (BMI p < 0.001) were determined to have a significant association with the occurrence of sarcopenia. The adjusted analyses demonstrated that with each standard deviation increase in fat-free mass index (OR = 0.02 (0.01-0.05), of 95%), skeletal muscle mass (OR = 0.17 (0.12-0.25), of 95%), and other body composition indicators (including total body water 0.26 (0.2-0.35), intracellular water 0.1 (0.06-0.17), protein 0.01 (0-0.02), soft lean mass 0.35 (0.28-0.44), BMI 0.58 (0.51-0.67), body cell mass 0.21 (0.15-0.29), OR < 0.60, of 95%), the risk of sarcopenia decreased by more than 40%. Certain straightforwardly accessible anthropometric indices such as upper arm circumference (correlation coefficient 0.94 (0.9-0.97), 0.97 (0.95-1), 1.01 (0.99-1.03), respectively, of 95%), waist circumference (0.94(0.92-0.96), 1.01 (0.99-1.03), 1.02 (1-1.03), of 95%), hip circumference (0.93 (0.9-0.96), 0.99 (0.97-1.02), 1.02 (1-1.04), of 95%), waist-to-hip ratio (0.93 (0.87-1), 1.04 (1-1.08), 1 (0.97-1.03), of 95%), body fat percentage (1 (0.98-1.02), 1.02(1-1.04), 1.01 (0.99-1.02), of 95%), and phase angle (0.91 (0.89-0.93), 0.96 (0.94-0.98), 0.99 (0.98-1), of 95%) exhibited substantial correlation with skeletal muscle index, muscle strength or physical performance. However, no noteworthy link between sarcopenia and most variables associated with physical function was discovered.

conclusionsThe findings of the study highlight the prevalence of sarcopenia among the aging residents of Beijing. Certain easily measured anthropometric indices demonstrated strong correlation with muscle strength or physical performance, thereby providing an avenue for screening and diagnosing sarcopenia in older people who may not be able to undergo grip strength or physical function assessments. To investigate causal relationships, future studies employing longitudinal or interventional designs with a more comprehensive population are warranted.

Indexed as

Body CompositionIndependent LivingSarcopeniaAgedAged, 80 and overBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedMuscle StrengthPrevalenceAWGS 2019 criteriaBody compositionOlder adultsPrevalenceSarcopenia

Identifiers

PMID39696545
PMCPMC11657734

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.