2019
DOI: 10.1016/j.archger.2019.01.021
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Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline

Abstract: Highlights • This study targeted older adults with cognitive impairment. • Their time spent out-of-home was measured using a global positioning system. • Larger social network was a predictor of longer out-of-home time. • However, physical environments did not significantly predict out-of-home time.

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Cited by 12 publications
(9 citation statements)
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“…The main results of this trial are being prepared for submission as another manuscript. Several papers on the secondary analysis of this trial have already been published elsewhere [40,41]. The participants of the trial were recruited from a subcohort of the National Center for Geriatrics and Gerontology Study of Geriatric Syndromes (NCGG-SGS) [42], conducted in 2013 in Midori Ward of Nagoya city, Aichi Prefecture, Japan.…”
Section: Participants and Proceduresmentioning
confidence: 99%
“…The main results of this trial are being prepared for submission as another manuscript. Several papers on the secondary analysis of this trial have already been published elsewhere [40,41]. The participants of the trial were recruited from a subcohort of the National Center for Geriatrics and Gerontology Study of Geriatric Syndromes (NCGG-SGS) [42], conducted in 2013 in Midori Ward of Nagoya city, Aichi Prefecture, Japan.…”
Section: Participants and Proceduresmentioning
confidence: 99%
“…Previous studies have employed mixed models with data settings similar to the current study to examine prospective associations of neighbourhood environmental factors with other health behaviours without calculating change scores. Such behaviours include physical activity (20) , out-of-home behaviour (21) and children's outdoor play (22) . Mixed models are appropriate for prospective data because their significance is unbiased, compared with ordinal regression models (23) .…”
Section: Prospective Analysismentioning
confidence: 99%
“…GPS technologies are emerging as a solution to monitor mobility and life space patterns in PwD. Across nine of the included studies [22,37,38,40,42,45,[48][49][50], GPS-derived mobility outcomes broadly agreed with travel diaries completed by participants. This is congruent with work in healthy older adults and populations with non-dementia neurodegenerative disorders [19][20][21].…”
Section: Overall Findingsmentioning
confidence: 89%
“…Several studies also used the convex hull algorithm to capture the convex hull area, the smallest convex shape that contains all the GPS recorded coordinates, which allowed the life space area to be captured [22,28,48]. In four of the studies a geographic information system (GIS) was used in alignment with the GPS data to retrieve information about the nature of the location that the participants visited, for example, a supermarket, leisure centre or medical centre [45,46,50,51].…”
Section: Gps Data Processingmentioning
confidence: 99%