ABSTRACT
BACKGROUND: Sarcopenia, prevalent in patients with cancer, negatively affects quality of life. However, generic tools are unable to capture the minor effects of sarcopenia on quality of life. The short-form version of the Sarcopenia Quality of Life (SF-SarQoL) questionnaire was developed as an efficient tool to assess the impact of sarcopenia on quality of life in older adults. However, its clinimetric properties in patients with cancer remain unknown. PURPOSE: This study was designed to examine the clinimetric properties of the Chinese SF-SarQoL in patients with colorectal cancer, particularly with regard to its ability to detect changes in quality of life. METHODS: A longitudinal survey was conducted using the SF-SarQoL and other questionnaires on 408 patients with colorectal cancer planning to undergo surgery. Follow-up was subsequently conducted on 341 of these patients 1 month after surgery. The clinimetric properties of the SF-SarQoL were examined, including reliability (internal consistency), validity (construct validity, concurrent validity), sensitivity (ability to detect changes, discriminative ability), and floor and ceiling effects. RESULTS: The internal consistency of the SF-SarQoL was found to be acceptable (Cronbach's alpha = .94 and McDonald's omega = .94). Strong scalability of the total score and each item was confirmed using Mokken analysis. Concurrent validity analyses indicate the SF-SarQoL is significantly correlated with muscle-related and health-related questionnaire scores. The SF-SarQoL showed adequate sensitivity due to its good ability to detect changes in quality of life with a moderate effect size (Cohen's d = 0.56) and discriminate between sarcopenic and nonsarcopenic patients (area under the curve = 0.73, 95% CI [0.66, 0.79]) using receiver operating characteristic curve analyses. No floor or ceiling effects were observed. CONCLUSIONS: The Chinese SF-SarQoL exhibits good clinimetric properties in preoperative patients with colorectal cancer and is sufficiently sensitive to capture changes in quality of life after surgery.