Evidence map›Paper›PMID 38646827›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

The prevalence patterns and risk factor profiles of poor muscle health and its associated components in multiethnic older Asians: The PIONEER study.

Preeti Gupta, Tai-Anh Vu, Ryan E K Man, Eva K Fenwick, Laura Tay, Ng Yee Sien, David Ng, Koh Hong Xiang Frederick, Eu-Leong Yong, Samuel T H Chew and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Preeti GuptaSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Tai-Anh VuThe Ophthalmology and Visual Sciences Academic Clinical Programme (EYE ACP), Duke-NUS Medical School, Singapore.
Ryan E K ManSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Eva K FenwickSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Laura TayDepartment of Geriatric Medicine, Sengkang General Hospital, Singapore.
Ng Yee SienDepartment of Rehabilitation Medicine, Division of Medicine, Singapore General Hospital, Singapore.
David NgDepartment of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore.
Koh Hong Xiang FrederickDepartment of Surgery, Sengkang General Hospital, Singapore.
Eu-Leong YongDepartment of Obstetrics and Gynecology, National University of Singapore, Singapore.
Samuel T H ChewDepartment of Geriatric Medicine, Changi General Hospital, Singapore.
Ecosse L LamoureuxSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID 0000-0001-8674-5705
Singapore National Eye Center · SGNational University of Singapore · SGSengkang General Hospital · SGSingapore General Hospital · SGDuke-NUS Medical School · SGThe University of Melbourne · AU

Funding

National Medical Research Council Senior Clinician Scientist Award NMRC-CSA-SI #JRNMRR140601
6 · The paper itself

Abstract

backgroundWe aim to determine the multiethnic patterns of the prevalence and associated factors of poor muscle health and its associated components in older Chinese, Malays, and Indian Asian adults.

methodsWe included 2199 participants (mean age ± SD: 72.9 ± 8.3 years; 54.3% female) from the baseline assessment of the Population Health and Eye Disease Profile in Elderly Singaporeans (PIONEER; 2017-2022) cohort study. Poor muscle health was defined as the presence of either low muscle mass (DEXA), or low muscle strength (handgrip strength), or low physical performance (gait speed). Its components include poor muscle function (low muscle strength and/or low physical performance without low muscle mass), pre-sarcopenia (low muscle mass only), and any sarcopenia (low muscle mass with low muscle strength and/or low physical performance). Sociodemographic, clinical, and lifestyle factors were assessed using biochemistry, clinical tests, and validated questionnaires. Regression models were utilized to evaluate the independent risk factors of poor muscle health and its components.

resultsThe national census-adjusted prevalence of poor muscle health (88%) was similar across the three ethnic groups. However, Chinese individuals had higher prevalence of pre-sarcopenia and any sarcopenia, and a lower prevalence of poor muscle function compared with Indians or Malays. We observed ethnic differences in modifiable risk factors (low physical activity, diabetes, osteoporosis, and obesity) of poor muscle health and its components. Although obesity was protective of pre-sarcopenia (RRR = 0.19, 95% CI: 0.11, 0.36) and any sarcopenia (RRR = 0.29, 95% CI: 0.18, 0.47) in the overall population and across ethnic groups, it was associated with 1.7 times (95% CI: 1.07, 2.67) the likelihood of poor muscle function in the entire population.

conclusionsAlmost 90% of community dwelling Singaporean aged ≥60 years have poor muscle health across the three ethnic groups with ethnic disparities in modifiable risk factors, highlighting an urgent need for community-wide targeted interventions to promote muscle health.

Indexed as

SarcopeniaAgedAged, 80 and overAsian PeopleEthnicityFemaleHumansMaleMiddle AgedMuscle StrengthPrevalenceRisk FactorsSingaporeMuscle functionMuscle healthMuscle massMuscle strengthPhysical performanceSarcopenia

Identifiers

PMID38646827
PMCPMC11294041
OpenAlexW4395003935

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.