Evidence map›Paper›PMID 40511314›Full record

ArticleJournal of physical therapy science2025

Multiple regression model for ascertaining the skeletal muscle mass index using grip strength and lifestyle factors in older outpatients.

Hisanori Otsubo, Yuri Ota, Tsuyoshi Suda, Takashi Kuzumaki, Kazue Kaido, Hitoshi Asai, Toshiaki Yamazaki, Pleiades T Inaoka, Eiki Matsushita

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Article in Journal of physical therapy science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hisanori OtsuboDepartment of Rehabilitation, Kanazawa City Hospital: 3-7-3 Heiwa, Kanazawa, Ishikawa 921-8105, Japan.
Yuri OtaDepartment of Nutrition Management, Kanazawa City Hospital, Japan.
Tsuyoshi SudaDepartment of Internal Medicine, Kanazawa City Hospital, Japan.
Takashi KuzumakiDepartment of Rehabilitation, Kanazawa City Hospital: 3-7-3 Heiwa, Kanazawa, Ishikawa 921-8105, Japan.
Kazue KaidoDepartment of Clinical Laboratory, Kanazawa City Hospital, Japan.
Hitoshi AsaiDepartment of Physical Therapy, Graduate Course of Rehabilitation Science, School of Health Sciences, College of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Japan.
Toshiaki YamazakiDepartment of Physical Therapy, Graduate Course of Rehabilitation Science, School of Health Sciences, College of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Japan.
Pleiades T InaokaDepartment of Physical Therapy, Graduate Course of Rehabilitation Science, School of Health Sciences, College of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Japan.
Eiki MatsushitaDepartment of Internal Medicine, Kanazawa City Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] Skeletal muscle mass index, an essential parameter for diagnosing sarcopenia, necessitates special measurement. Using clinical data that can be easily evaluated through nutrition counselling, we aimed to develop a formula to derive the skeletal muscle mass index. [Participants and Methods] This retrospective study enrolled older outpatients who visited an acute-care hospital for the periodical consultation of comorbidities. The skeletal muscle mass index was measured using the bioimpedance method. Stepwise multiple linear regression was used to clarify the relationship between the skeletal muscle mass index and various factors, including age, sex, height, body weight, the Charlson Comorbidity Index, grip strength, the Barthel Index, and lifestyle factors. [Results] Among the 142 participants of this study, we applied a prediction model that was derived as follows: skeletal muscle mass index (kg/m

Indexed as

Grip strengthLifestyle factorSkeletal muscle mass

Identifiers

PMID40511314
PMCPMC12153257

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