Association of the physical activity of community-dwelling older adults with transportation modes, depression and social networks

DOI Web Site 5 Citations 48 References
  • Tsunoda Kenji
    Graduate School of Comprehensive Human Sciences, University of Tsukuba
  • Mitsuishi Yasuhiro
    Graduate School of Comprehensive Human Sciences, University of Tsukuba
  • Tsuji Taishi
    Graduate School of Comprehensive Human Sciences, University of Tsukuba
  • Yoon Ji-Yeong
    Graduate School of Comprehensive Human Sciences, University of Tsukuba
  • Muraki Toshiaki
    Department of Occupational Therapy, Ibaraki Prefectural University of Health Sciences
  • Hotta Kazushi
    Department of Occupational Therapy, Ibaraki Prefectural University of Health Sciences
  • Okura Tomohiro
    Graduate School of Comprehensive Human Sciences, University of Tsukuba

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Other Title
  • 地域在住高齢者の身体活動量は外出形態，抑うつ度，ソーシャルネットワークと関連するか‐余暇活動，家庭内活動，仕事関連活動に基づく検討‐
  • 地域在住高齢者の身体活動量は外出形態,抑うつ度,ソーシャルネットワークと関連するか--余暇活動,家庭内活動,仕事関連活動に基づく検討
  • チイキ ザイジュウ コウレイシャ ノ シンタイ カツドウリョウ ワ ガイシュツ ケイタイ ヨクウツ ド ソーシャル ネットワーク ト カンレン スル カ ヨカ カツドウ カテイ ナイ カツドウ シゴト カンレン カツドウ ニ モトズク ケントウ

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Abstract

Aim: The purpose of this study was to cross-sectionally examine the relationships among leisure, household and occupational physical activity with the frequency of going out by various transportation modes, depression and social networks in older adults.<br> Methods: We randomly selected a total of 2,100 community-dwelling adults aged 65 to 85 years of age from the Basic Resident Register. Of these, 340 people were the subjects of this study. The scales of measurement used were the Physical Activity Scale for the Elderly, the Lubben Social Network Scale (LSNS) and the Geriatric Depression Scale (GDS).<br> Results: In a regression model, leisure-time physical activity significantly correlated with frequency of going out by bicycle (β=0.17) and LSNS score (β=0.17). Household physical activity and occupational physical activity were significantly correlated with LSNS score (β=0.21) and frequency of going out by motor vehicle (β=0.25), respectively. For total physical activity, in the 3 above-mentioned activities a significant correlation was observed among frequency of going out by bicycle (β=0.10), by motor vehicle (β=0.23), GDS score (β=-0.16) and LSNS score (β=0.23).<br> Conclusion: These results indicate that the frequency of going out by bicycle and by motor vehicle were significant factors to predict leisure and occupational physical activity. Furthermore, social networks appear to be important determiners in leisure and household physical activity in community-dwelling older adults.<br>

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