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Record W4405530444 · doi:10.2196/58038

Skeletal Muscle Mass Loss and Physical Function in Young to Middle-Aged Adult Patients With Diabetes: Cross-Sectional Observational Study

2024· article· en· W4405530444 on OpenAlexvenueno aff
Atsuhiko Naruse, Yuka Yamada, Takeshi Miyamoto

Bibliographic record

VenueInteractive Journal of Medical Research · 2024
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSkeletal muscleGlycemicBody mass indexDiabetes mellitusCross-sectional studyObservational studyInternal medicineType 2 Diabetes MellitusType 2 diabetesPhysical therapyEndocrinologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Recently, it has been reported that older adults with type 2 diabetes mellitus (T2DM) have lower skeletal muscle mass than healthy individuals. Although skeletal muscle mass in older adults with diabetes is occasionally reported, similar reports on young to middle-aged adults are limited. OBJECTIVE: This study aims to assess the prevalence of skeletal muscle loss in young to middle-aged adults with diabetes, examine the relationship between skeletal muscle loss and physical function in these patients, and examine whether there are differences in these characteristics between men and women. METHODS: This cross-sectional, observational study included patients younger than 65 years with T2DM who were admitted to our hospital between 2014 and 2022 for educational admission for glycemic control and requested rehabilitation by the Department of Metabolic Medicine. The control group consisted of patients who received rehabilitation during their hospitalization at our hospital and did not have diabetes. The main parameters included skeletal muscle mass, muscle strength, physical function, and activities of daily living. RESULTS: The prevalence of skeletal muscle mass loss in this study was 18.2% (10/55) in men and 7.7% (4/52) in women. The skeletal muscle mass index (SMI) was 7.7 (SD 0.8) and 8.4 (SD 0.5) for men in the T2DM and control groups, respectively, and 7.0 (SD 0.9) and 6.8 (SD 0.7) for women in the T2DM and control groups, respectively. Therefore, compared with the nondiabetes group, a significant difference was observed in men but not in women (men: P<.001, women: P=.35). Nonetheless, the diabetes group exhibited significantly lower physical functions, such as a walking speed of 1.3 (SD 0.2) m/s and 1.2 (SD 0.43) m/s for men and women in the T2DM group and 1.6 (SD 0.2) m/s and 1.5 (SD 0.1) m/s for men and women in the control group, respectively (men: P<.001, women: P<.001). One-leg standing time was measured as 30.7 (SD 26.9) seconds and 29.4 (SD 25.5) seconds for men and women in the T2DM group, compared with 100.5 (SD 30.6) seconds and 82.5 (SD 39.8) seconds for men and women in the control group, respectively, with the T2DM group's times being significantly lower (men: P<.001, women: P<.001). Univariate logistic regression analysis showed that SMI was significantly associated with age, BMI, and peripheral neuropathy (all P≤.002). Multiple logistic regression analysis showed that BMI exhibited the strongest association (odds ratio 1.15, 95% CI 1.07-1.23; P<.001), and peripheral neuropathy was also significantly associated with SMI (P=.009). CONCLUSIONS: Patients with diabetes, even those who are not older adults, face an elevated rate of skeletal muscle mass loss, muscle weakness, and a decline in physical function; moreover, they are susceptible to dynapenia and presarcopenia. Therefore, early intervention focusing on muscle evaluation and exercise is crucial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.133
GPT teacher head0.474
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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