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Gazzetta Medica Italiana Archivio per le Scienze Mediche 2018 June;177(6):301-10

DOI: 10.23736/S0393-3660.17.03535-5


language: English

Relationship between the risk of metabolic syndrome and the lifestyle index measured by the PULSENSE wristwatch-type stress-calorie monitor in middle-aged subjects

Asuka SAWAI 1, 2 , Rino IGARASHI 2, Miyu SAITOU 2, Narumi ENAMI 2, Shinya SAWAI 3, Tetsuya FUJIKAWA 4, Katsumi TAKAHASHI 1, Osamu TOCHIKUBO 5

1 Kanagawa Institute of Technology Graduate School of Engineering, Atsugi, Japan; 2 Department of Nutrition and Life Science, Kanagawa Institute of Technology, Atsugi, Japan; 3 Department of Mathematics and Physics, National Defence Academy, Yokosuka, Japan; 4 Center for Health Service Sciences, Yokohama National University, Yokohama, Japan; 5 Yokohama City University Graduate School of Medicine, Yokohama, Japan


BACKGROUND: The Health Watch (HW) was developed to monitor and evaluate lifestyles as measured by heart rate variability and acceleration. In this study, data were measured by the HW and a metabolic measurement system (VO2000) to validate the HW data. Then, the relationship between the metabolic syndrome risk index determined by a medical examination and the lifestyle index measured by the HW were compared.
METHODS: To investigate validity, controlled rest, mental arithmetic, and walking were measured experimentally with the HW and VO2000 in 30 middle-aged men. In the application study, 24-hr heart rate, activity times (sleep, mental activity, mental stress, physical activity, exercise) and energy expenditure were measured with the HW in 93 healthy, working middle-aged subjects. HW data were then compared with each subject’s medical examination results regarding risk of lifestyle-related disease.
RESULTS: Energy expenditure measured by HW correlated significantly with VO2000 measurements for each mental and physical activity performed (r=0.89, P<0.05). Significant correlations were seen between physical activity times and energy expenditure; between energy expenditure and body mass index (r = -0.43), abdominal circumference (-0.49), systolic blood pressure (-0.27), diastolic blood pressure (-0.40), AST (-0.27), ALT (-0.25), γGTP (-0.22), and hemoglobin A1c (-0.28); between mental stress times and uric acid (0.32); and between sleep times and alcohol intake (-0.25).
CONCLUSIONS: The HW could easily evaluate energy expenditure during mental and physical activity. Also, physical activity times, energy expenditure, mental stress times, and sleep times as measured by the HW correlated significantly with the risk of metabolic syndrome.

KEY WORDS: Health - Stress, psychological - Exercise

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