METHODS: A total number of 700 community-dwelling older adults participated in the current study. Muscle mass, muscle strength, and physical performance were measured with bioelectrical impedance analysis, handgrip strength, and gait speed, respectively. The AWGS 2019 criteria were considered the criterion standard The sensitivity/specificity, receiver operating characteristic (ROC) curve, and area under the receiver operating characteristic curve (AUROC) analyses were determined for CC, SARC-F, and SARC-CalF to determine their relative diagnostic performance.
RESULTS: Sarcopenia was identified in 21.4% of participants according to the AWGS2019 criteria. The overall prevalence of sarcopenia was 56.6%, 14.7%, and 22.9% according to CC, SARC-F, and SARC-CalF, respectively. Calf circumference showed the highest sensitivity but lowest specificity based on AWGS 2019 as the criterion standard regardless of age, gender, and body mass index. The SARC-CalF showed better sensitivity but similar specificity than the SARC-F. The AUROC of CC was significantly better than that of SARC-F and SARC-CalF. The AUROCs of CC, SARC-F, and SARC-CalF were statistically significant in all populations, as well as in the categories of age, gender, and body mass index ( P < .05).
CONCLUSIONS: Calf circumference is useful in ruling out the presence of sarcopenia while the SARC-F is more effective in ruling in sarcopenia, especially in the context of population-based screening. Future studies should be carried out to investigate the value of population-based sarcopenia detection using these screening tools.
DESIGN AND METHODS: According to Brislin's Model, the Intensive Care Unit Environment Stress Scale (ICUESS) was translated both forward and backward and adapted cross-culturally. A total of 210 PICU patients were selected from four hospitals in XXX to analyze the final translated version of the questionnaire, the Pediatric Intensive Care Unit Environmental Stress Scale (PICUESS). Content validity, exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to assess the validity, while reliability was assessed using Cronbach's alpha and split-half reliability analysis.
RESULTS: For PICUESS, seven of 42 items were modified. Content validity was high (overall = 0.96, item validity = 0.8 to 1.0). Exploratory factor analysis revealed eight common factors (Kaiser-Meyer-Olkin = 0.857, significant Bartlett's test). The results of the CFA indicate that the scale model fits well across the 8 factors. The entire scale demonstrated excellent internal consistency (Cronbach's alpha = 0.934). The overall split-half reliability was 0.935.
CONCLUSIONS: The Chinese version of PICUESS demonstrates good reliability and validity, making it suitable for assessing pediatric patients' perceptions of the PICU environment.
PRACTICE IMPLICATIONS: The PICUESS can assist healthcare professionals in providing personalized environment care for PICU patients. It has the potential to serve as a tool for further testing and international comparisons of pediatric patients' perceptions of the PICU environment.