Development and psychometric evaluation of a pre-sarcopenia risk assessment scale for sedentary young adults with type 2 diabetes mellitus

Aims The aim of this study was to develop a self-reported risk-assessment scale for pre-sarcopenia-related behavioral and functional risk in sedentary young adults with type 2 diabetes mellitus (T2DM) and to assess its psychometric properties. Methods Following COSMIN guidelines, an initial item pool was generated via literature review and semi-structured interviews, then refined through two Delphi rounds and a pilot survey. A convenience sample of 435 patients (June 2024–February 2025) was recruited; 215 participated in exploratory factor analysis (EFA) and 220 in confirmatory factor analysis (CFA). Reliability and validity were evaluated. Results The final 18-item scale comprises four dimensions: behavioral risk perception, muscle function monitoring, sedentary behavior characteristics, and intervention intention. EFA extracted four factors explaining 81.25% of the total variance. CFA demonstrated good model fit ( χ 2 /df = 1.583, RMSEA = 0.076, SRMR = 0.038, CFI = 0.965, GFI = 0.917). The scale-level content validity index was 0.92; Cronbach’s α was 0.894 and split-half reliability 0.792. Conclusion The newly developed scale showed satisfactory preliminary reliability and construct validity. It should be regarded as a self-reported risk-assessment instrument for pre-sarcopenia-related behavioral and functional risk, rather than a diagnostic or case-finding tool for pre-sarcopenia. Positive risk identification should be confirmed by objective measures such as handgrip strength, muscle mass, and physical performance.

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Journal
Frontiers in Public Health
Published
2026-10-30
DOI
https://doi.org/10.3389/fpubh.2026.1960222
Primary Topic
Nutrition and Health in Aging
Type
article
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article

Development and psychometric evaluation of a pre-sarcopenia risk assessment scale for sedentary young adults with type 2 diabetes mellitus

Chenxia Zhang, Shi-Wei Liu, Jiao-Jun Mu, Xiao-Fang Wei et al.
2 links
Frontiers in Public Health
Nutrition and Health in Aging
article

Development and psychometric evaluation of a pre-sarcopenia risk assessment scale for sedentary young adults with type 2 diabetes mellitus

Chenxia Zhang, Shi-Wei Liu, Jiao-Jun Mu, Xiao-Fang Wei, Cong-Cong Jin
article en

Abstract

Aims The aim of this study was to develop a self-reported risk-assessment scale for pre-sarcopenia-related behavioral and functional risk in sedentary young adults with type 2 diabetes mellitus (T2DM) and to assess its psychometric properties. Methods Following COSMIN guidelines, an initial item pool was generated via literature review and semi-structured interviews, then refined through two Delphi rounds and a pilot survey. A convenience sample of 435 patients (June 2024–February 2025) was recruited; 215 participated in exploratory factor analysis (EFA) and 220 in confirmatory factor analysis (CFA). Reliability and validity were evaluated. Results The final 18-item scale comprises four dimensions: behavioral risk perception, muscle function monitoring, sedentary behavior characteristics, and intervention intention. EFA extracted four factors explaining 81.25% of the total variance. CFA demonstrated good model fit ( χ 2 /df = 1.583, RMSEA = 0.076, SRMR = 0.038, CFI = 0.965, GFI = 0.917). The scale-level content validity index was 0.92; Cronbach’s α was 0.894 and split-half reliability 0.792. Conclusion The newly developed scale showed satisfactory preliminary reliability and construct validity. It should be regarded as a self-reported risk-assessment instrument for pre-sarcopenia-related behavioral and functional risk, rather than a diagnostic or case-finding tool for pre-sarcopenia. Positive risk identification should be confirmed by objective measures such as handgrip strength, muscle mass, and physical performance.

Frontiers in Public HealthVol. 14
Shanxi Medical University (CN), Shanxi Academy of Medical Sciences (CN)
Good health and well-being
Openalex Percentile: Top 13%
Nutrition and Health in Aging
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