Evidence map›Paper›PMID 33270749›Full record

Observational studyPloS one2020

Association between low muscle mass and metabolic syndrome in elderly Japanese women.

Kazushi Nomura, Masato Eto, Sumito Ogawa, Taro Kojima, Katsuya Iijima, Tetsuro Nakamura, Atsushi Araki, Yasuyoshi Ouchi, Masahiro Akishita

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

9 authors.

Kazushi NomuraDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.ORCID 0000-0003-2109-5654
Masato EtoDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.
Sumito OgawaDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.
Taro KojimaDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.
Katsuya IijimaDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.
Tetsuro NakamuraResearch Institute of Aging Science, Abe Clinic, Tokyo, Japan.
Atsushi ArakiDepartment of Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan.
Yasuyoshi OuchiDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.
Masahiro AkishitaDepartment of Geriatric Medicine, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is an important predictor of mortality in older adulthood, but it is not reliably related to measures of body composition such as body mass index in older adults, as opposed to those in earlier life stages. Previous research suggests that skeletal muscle mass is related to cardiovascular risk in older adulthood, but it is difficult to measure muscle mass accurately and independently of body fat. This study aimed to examine the relationship between body composition and cardiovascular risk factors among women in older adulthood. A cross-sectional observational clinical study was conducted at a single medical clinic in Tokyo, Japan. Participants included 90 healthy Japanese women aged 65 years and older. MetS risk factors were assessed. Appendicular skeletal muscle mass (ASM) was assessed using dual-emission X-ray absorptiometry. Visceral fat area (VFA) was measured using computed tomography. VFA positively correlated with ASM and MetS, whereas ASM and MetS did not correlate with each other. Using VFA and ASM data in a MetS multiple linear regression model, the association between VFA and MetS remained positive, whereas a significant negative relationship emerged between ASM and MetS. Lower muscle mass was independently associated with higher cardiovascular risk after controlling for VFA. Clinical interventions to reduce muscle loss in older adulthood may be beneficial for reducing the risk of MetS and improving cardiovascular health.

Indexed as

Absorptiometry, PhotonAgedAged, 80 and overBody CompositionBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesFemaleHumansIntra-Abdominal FatJapanMetabolic SyndromeMuscle, SkeletalObesity, AbdominalRisk FactorsSarcopenia

Identifiers

PMID33270749
PMCPMC7714206

What OpenQuestion holds

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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.