Trial to increase physical activity by the recognition of the neighborhood environment using GIS

  • Okamoto Naoki
    Tokai University, Graduate School of physical education
  • Kubota Akio
    Tokai University, Graduate School of physical education Tokai University, School of physical education, Department of physical recreation
  • Sun Fei
    Tokai University, Graduate School of physical education
  • Nonaka Yuki
    Tokai University, Graduate School of physical education

Bibliographic Information

Other Title
  • GISを活用した自宅近隣環境の再認知による身体活動量を増やす試み

Description

Objectives: In this study, we used a geographic information system (GIS) to create a map that showed the neighborhood environment. We then performed an interventional study to assess the ability of the program to increase physical activity. Methods: Participants included 51 residents of Hadano city in Kanagawa prefecture (Age: 64.8∓9.5 years). The intervention period was 2 months. We created walking maps of two types (10 minutes course and burn off 100kcal course) to promote familiarity with the neighborhood environment and to increase physical activity. We distributed this map in an exercise class. The primary outcome was increased walking for physical activity, assessed with the International Physical Activity Questionnaire Short Version (IPAQ-SV). Statistical analysis using the Wilcoxon signed rank test compared walking activity before and after the intervention. Results: Five participants began to exercise during the intervention period. The mean level of the physical activity of walking before the intervention was 343∓313 min/week, and the level after intervention was 454∓372 min/week(p=0.009). This was equal to an increase in stepping time of 16 minutes. Conclusion: The program developed for this study increased the physical activity of walking among the participants, and may be effective as a tool to increase overall physical activity.

Journal

Details 詳細情報について

  • CRID
    1390282680398324352
  • NII Article ID
    130005991078
  • DOI
    10.14838/jjls.13.75
  • ISSN
    21872392
    13488619
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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