Accelerometer-assessed sedentary behavior and its correlates among 85–89-year-old community-dwelling older adults: a cross-sectional study by The Kawasaki Aging and Wellbeing Project

Objective: The purpose of this cross-sectional study was to evaluate the sedentary behavior of community-dwelling older adults aged 85–89 years using an accelerometer, and to investigate its correlates, including TV viewing time, from a multifaceted perspective.Methods: We asked 1,026 participants i...

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Published inResearch in Exercise Epidemiology Vol. 25; no. 1; pp. 19 - 30
Main Authors Shinmura, Naoko, Tajima, Takayuki, Saito, Yoshinobu, Tao, Yu, Yoshida, Natsuko, Abe, Yukiko, Arai, Yasumichi, Oguma, Yuko
Format Journal Article
LanguageJapanese
Published Japanese Association of Exercise Epidemiology 30.06.2023
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Summary:Objective: The purpose of this cross-sectional study was to evaluate the sedentary behavior of community-dwelling older adults aged 85–89 years using an accelerometer, and to investigate its correlates, including TV viewing time, from a multifaceted perspective.Methods: We asked 1,026 participants in the 2017–2018 baseline survey of “The Kawasaki Aging and Wellbeing Project” to wear an accelerometer for 7 consecutive days. Of these, we evaluated sedentary behavior of valid data from 914 people (473 women). Using multiple regression analysis by gender, we investigated the correlation of 25 factors with sedentary behavior ─24 factors in 3 domains (physical condition, socio-economic condition, and lifestyle) and age.Results: The average (SD) total sedentary time and the proportion of sedentary time to wearing time of men and women were 9.4 (1.9) hours・67% per day and 8.6 (1.8) hours・59% per day, respectively. Moreover, menʼs proportion of prolonged sedentary time (≥ 30 minutes) was higher than that of women. For men, the following factors were correlated with sedentary behavior in order of strength of association: screen time and BMI (positive); household work time, gardening score, exercise time, walking speed, grip strength, and ADL (negative). For women, the correlated factors were BMI and screen time (positive); household work time, sleep time, exercise time, ADL, and outing score (negative).Conclusion: The sedentary behavior of community-dwelling older adults in their late 80s was correlated not only to screen time but also to physical condition factors (such as BMI, walking speed, grip strength, and ADL), and lifestyle factors (such as household work, gardening, exercise, sleep, and going out).
ISSN:1347-5827
2434-2017
DOI:10.24804/ree.2205