【論文摘要】The Use of Automatic Kinect-based Assessment System for Physical Fitness and Cognitive Tests in Middle Aged Adults

【論文摘要】自動化體感評估系統用於中年人體適能及認知檢測

卓俐吟(Li-Yin Cho) ； 林佩欣(Pay-Shin Lin) ； 莊麗玲(Li-Ling Chuan) ； 陳治中(Chih-chung Chen) ； 徐秉澤(Ping-Tse Hsu)

《物理治療》 45卷4期 (2020/12) Pp. 303-304

https://doi.org/10.6215/FJPT.202012.O11

摘要

Background and Purpose: Previous research has shown that the onset age of dementia and chronic diseases is getting younger. The physical fitness and cognitive functional tests should be started at middle-age to prevent the occurrence of disability and dementia in later life. Applying the automated system will enhance the assessment efficiency. The purposes of the study are to compare the trends of age-related changes in physical and cognitive performances, and to investigate the factors influencing both function in the middle-aged. Methodology: In this study, 150 convenient sample of middle-aged (40-64 years old; male and female) community adults were recruited and divided into five age groups (40-45, 46-50, 50-55, 56- 60, 60-64). Within around 35 minutes, each participant was assessed by two newly developed automatic systems, one was physical fitness test with infrared red camera to detect the body movement, and the other one was electric version of the Montreal Cognitive Assessment (MoCA). Results: Two-way ANOVA showed an interaction effect of age and gender group only in muscle strength (MS) (p = 0.024). There're gender main effects in MS (p = 0.03), body mass index (BMI) (p = 0.000) and flexibility (p = 0.017), age main effects in MS (p = 0.029), visuospatial (p = 0.038), naming (p = 0.001), attention (p = 0.000), language (p = 0.009), orientation (p = 0.005), and total MoCA score (p = 0.000). Post hoc analyses of age differences were provided. The significant factors influencing cognitive changes were age (p = 0.023), education (p = 0.012), flexibility (p = 0.013), and MS (p ＜ 0.001). Significant factors influenced the 6 domains of physical fitness changes were gender, education, BMI, flexibility, and MS, respectively. Conclusions: The age-related physical and cognitive performances generally did not show significant changes till late fifty. There seems a threshold for cognition decline in early sixty. Age, education, flexibility and muscular strength significantly correlated with cognitive changes. Clinical Relevance: Our results provide important information to help early screening and prevention of physical and cognitive function decline in community middle-aged adults.