Energy

Energy

Destinations in the area). based on their characteristics, destination areas were hierarchically categorized to area types. in mixed model, active transportation (vs. passive) was regressed for area type and adjusted for distance, car use possibility, walking difficulty in 2km, age, sex, and mmse score. results of reported destinations within 2km from home (1278 destinations for 642 participants), 81% clustered spatially in 23 destination areas and 19% remained separate. hierarchical clustering resulted three area types: 1) city centre (versatile activities and nature), 2) less serviced areas (versatile activities and less nature), 3) shopping areas (shopping/service activities and less nature). the proportion of destinations visited using active transportation was 63% in city centre, 68% in less serviced areas, 69% in shopping areas, and 56% for separate destinations outside the areas. based on mixed model results, the odds for active transport use were higher when destinations located in city centre (or = 4.8, 95%ci 1.3-17.0) or in shopping areas (or = 11.9, 95%ci 2.6-55.6) compared to visiting locations outside spatially clustered destination areas. conclusion majority of older adults’ activity destinations locate as spatially clustered. varied destinations close to one another may

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HIGHLIGHTS who: Kingdom from the Faculty of Health Sciences and Sport, University of Stirling, Stirling, United have published the paper:

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