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- 저자 : Wang Jiameng (검색결과 3 건)
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Jiameng Ma(Jiameng Ma),Dongmei Ma(Dongmei Ma),Qiang Wang(Qiang Wang),Hyunshik Kim(Hyunshik Kim) 사피엔시아 2019 Exercise Medicine Vol.3 No.-
Objectives: In order to reduce the sedentary behavior of workers who remain seated for extended periods of time, the correlation between sedentary behavior by time period and health indicators must be investigated. Thus, the purpose of this study is to investigate the correlation between the sedentary behavior during work hours or per day and the amount of physical activity and health indicator. Methods: Based on an objective measurement method using an accelerometer and Inbody, the correlation among sedentary behavior, amount of physical activity, body fat percentage, muscle mass, and demographic variables in the survey of 101 Japanese workers was analyzed. For the amount of physical activity, a triaxial accelerometer was used to measure light-intensity lifestyle activity [1.6–2.9 metabolic equivalents (METs)], sedentary time (≤1.5 METs), and vigorous physical activity (3 METs or above), which was evaluated every 10 seconds. Results: The results reveal that the sedentary behavior by time period is related to gender, age, type of occupation, low-intensity physical activity, and walking time, in which low-intensity physical activity has a greater effect on the sedentary behavior than moderate-intensity or higher physical activity. Specifically, for the sedentary time during work hours, the subjects who perform more low-intensity physical activity had a shorter sedentary time than those who do not (OR = 0.41, 95 % CI = 0.17-0.97), and those who have longer walking times per day had a shorter sedentary time than those who do not (OR = 0.21,95 % CI = 0.62-0.72). Conclusions: In order to reduce the SB of workers in the future, research on developing a strategic intervention method based on the results of this study should be conducted.
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Jiameng Ma(Jiameng Ma),Dongmei Ma(Dongmei Ma),Qiang Wang(Qiang Wang),Hyunshik Kim(Hyunshik Kim) 사피엔시아 2020 Exercise Medicine Vol.4 No.-
Objectives: The workplace environment has an influence on the physical well-being of workers and their productivity. This study examined how sedentary time and work efficiency changed before and after an intervention to improve the ergonomics of a workplace environment. Methods: This study was designed as a natural pre-post study. Workers were evaluated 101 (77% men, mean [SD] age=44.6[9.8] years) after the intervention. The intervention included the addition of sit-stand desks, fitness rooms, and rest areas at the workplace. The effect of the intervention was assessed after a period of three months. Sedentary behavior and physical activities were evaluated using triaxial accelerometers, body fat percentage and fat-free mass were calculated from body composition, and work engagement and work performance were evaluated through questionnaires. T-tests were used to compare the differences. Results: The percentage of time spent sitting decreased post-intervention (-1.7, 95% CI: -0.4, -3.1). Work performance compared to either three months pre-survey increased significantly post-intervention (Most workers assessment: 0.4, 95% CI: 0.8, 0.3; Self-rated performance the past year or two: 0.4, 95% CI: 0.6, 0.4; Self-rated performance the past 4 weeks: 0.3, 95% CI: 0.6, 0.3). Work engagement improved significantly in terms of vigor at work (0.8, 95% CI: 1.1, 0.5), dedication to work (0.8, 95% CI: 1.1, 0.7), and absorption in work (0.7, 95% CI: 1.1, 0.5). Conclusions: Improving a workplace environment using existing facilities decreased sedentary time and enhanced work efficiency—these findings are useful for workplace health promotion and public health policies.
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Wang Jiameng,Zhang Weiyu,Wen Tao,Sun Jiale,Zhou Fan,Ai Xianbin,Zhang Hui,Xiong Huayu,Xu Baichao 아시아건강운동학회 2022 Journal of Asian Society for Health & Exercise Vol.4 No.1
PURPOSE : To build a cloud intelligent analysis platform for physical measurement data and physical examination data for college students, so as to enhance the physical health of college students and realize the deep integration of sports, education and medical treatment. METHODS : On this basis, a cloud-based intelligent early warning and screening analysis module for the physical fitness test level and the prevalence rate in college students can be established. Then, a cloud-based intelligent construction module for non-medical health intervention means and scientific physical education (PE) curriculum should be built, aiming to strengthen the corresponding physical fitness test indexes and improve weak health examination indexes, and further mitigate and prevent relevant diseases. RESULTS : Through the Internet of things technology, we can realize the co-platform link of physical examination instruments and physical examination instruments, process and analyze data in the same system, and realize the source combination of sports and medical treatment. CONCLUSIONS : The establishment of cloud intelligent college student physical examination and physical examination platform is the need of The Times, and is also one of the effective measures to realize Outline of the Healthy China 2030 Plan (the Outline).
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