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  1. Zhang HY, Chong MC, Tan MP, Chua YP, Zhang JH
    J Geriatr Phys Ther, 2023 Jul 13.
    PMID: 37439875 DOI: 10.1519/JPT.0000000000000388
    BACKGROUND AND PURPOSE: Sarcopenia is a common muscle disease among the older population, posing an increased risk for functional decline and intervention for loss of independence in daily living. Early detection of sarcopenia among older people before functional decline would be beneficial in enhancing their quality of life. The Asian Working Group for Sarcopenia (AWGS) 2019 recommends the use of 3 screening methods for community-based sarcopenia detection: calf circumference (CC), or the Strength, Assistance in walking, Rise from a chair, Climb stairs, and Falls (SARC-F) questionnaire, or the SARC-F in combination with CC (SARC-CalF) questionnaire. This study aims to compare the relative performance of these 3 methods as screening tools for sarcopenia within a community-dwelling older population.

    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.

  2. Tang PM, Koopman J, Mai KM, De Cremer D, Zhang JH, Reynders P, et al.
    J Appl Psychol, 2023 Nov;108(11):1766-1789.
    PMID: 37307359 DOI: 10.1037/apl0001103
    The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integrated across organizational functions into the work lives of employees. This coupling of employees and machines fundamentally alters the work-related interactions to which employees are accustomed, as employees find themselves increasingly interacting with, and relying on, AI systems instead of human coworkers. This increased coupling of employees and AI portends a shift toward more of an "asocial system," wherein people may feel socially disconnected at work. Drawing upon the social affiliation model, we develop a model delineating both adaptive and maladaptive consequences of this situation. Specifically, we theorize that the more employees interact with AI in the pursuit of work goals, the more they experience a need for social affiliation (adaptive)-which may contribute to more helping behavior toward coworkers at work-as well as a feeling of loneliness (maladaptive), which then further impair employee well-being after work (i.e., more insomnia and alcohol consumption). In addition, we submit that these effects should be especially pronounced among employees with higher levels of attachment anxiety. Results across four studies (N = 794) with mixed methodologies (i.e., survey study, field experiment, and simulation study; Studies 1-4) with employees from four different regions (i.e., Taiwan, Indonesia, United States, and Malaysia) generally support our hypotheses. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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