Evidence map›Paper›PMID 36052707›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Prediabetes is an independent risk factor for sarcopenia in older men, but not in older women: the Bunkyo Health Study.

Hideyoshi Kaga, Yoshifumi Tamura, Yuki Someya, Hitoshi Naito, Hiroki Tabata, Saori Kakehi, Nozomu Yamasaki, Motonori Sato, Satoshi Kadowaki, Ruriko Suzuki and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 18 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

13 authors at 1 institution in 1 country.

Hideyoshi KagaDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Yoshifumi TamuraDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0002-1685-7821
Yuki SomeyaSportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Hitoshi NaitoDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Hiroki TabataSportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Saori KakehiSportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Nozomu YamasakiDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Motonori SatoDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Satoshi KadowakiDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Ruriko SuzukiDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Daisuke SugimotoDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Ryuzo KawamoriDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Hirotaka WatadaDepartment of Metabolism and Endocrinology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is a major cause of disability in the elderly. Although type 2 diabetes is a risk factor for increased sarcopenia, the relationship between prediabetes and sarcopenia has not been elucidated. We aimed to examine the relationship between sarcopenia and prediabetes.

methodsThe design of this study is a cross-sectional study. We evaluated glucose metabolism using the 75-g oral glucose tolerance test and glycated haemoglobin, appendicular skeletal muscle mass, and hand grip strength in 1629 older adults living in an urban area of Tokyo, Japan. We investigated the frequency of sarcopenia in participants with normal glucose tolerance (NGT), prediabetes and diabetes. A multivariable logistic regression model was used to analyse the association between glucose tolerance and the prevalence of sarcopenia.

resultsThe mean age of participants was 73.1 ± 5.4 years. In men, 44.3% had NGT, 26.6% had prediabetes, and 29.1% had diabetes. In women, the distribution was 56.1%, 28.8% and 15.2%. The prevalence of sarcopenia was 12.7% in men and 11.9% in women. Logistic regression revealed that prediabetes and diabetes are independent risk factors for sarcopenia in men (prediabetes, odds ratio [OR] = 2.081 [95% confidence interval {CI}: 1.031-4.199]; diabetes, OR = 2.614 [95% CI: 1.362-5.018]) and diabetes, but not prediabetes, is an independent risk factor for sarcopenia in women (prediabetes, OR = 1.036 [95% CI: 0.611-1.757]; diabetes, OR = 2.099 [95% CI: 1.146-3.844]). In both sexes, higher age (men, OR = 1.086 [95% CI: 1.028-1.146]; women, OR = 1.195 [95% CI: 1.142-1.251]), higher body fat percentage (men, OR = 1.346 [95% CI: 1.240-1.461]; women, OR = 1.218 [95% CI: 1.138-1.303]) and lower body mass index (men, OR = 0.371 [95% CI: 0.299-0.461]; women, OR = 0.498 [95% CI: 0.419-0.593]) were independent risk factors for sarcopenia.

conclusionsAlthough we confirmed that diabetes mellitus is associated with sarcopenia in both sexes, prediabetes is associated with sarcopenia in men, but not in women.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateSarcopeniaAgedCross-Sectional StudiesFemaleGlucoseHand StrengthHumansMaleRisk FactorsGlucosemuscle strengthprediabetessarcopeniatype 2 diabetes

Identifiers

PMID36052707
PMCPMC9745500
OpenAlexW4294226009

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.