Literature DB >> 31377063

Activity spaces in place and health research: Novel exposure measures, data collection tools, and designs.

Camille Perchoux1, Basile Chaix2, Yan Kestens3.   

Abstract

Activity space research provides a framework to consider mobility while linking environments to behaviors in the study of neighborhood effects on health. Increased use of wearable location sensors provides new opportunities to observe and analyze fine-grained spatial and temporal information on individuals' mobility patterns, environmental exposures and behaviors; however, these analysis does not easily translate into causal inference. Additional dimensions underlying behavioral decision-making likely influence or even modify environmental effects on behaviors. This commentary discusses how further progresses in exposure measurement, integration of data collection tools, and development of study designs could support future interventions to optimize how environments shape health profiles and inequities.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Activity space; Causal inference; Neighborhood effects; Selective daily mobility bias

Year:  2019        PMID: 31377063     DOI: 10.1016/j.healthplace.2019.05.008

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  1 in total

1.  Combining social network and activity space data for health research: tools and methods.

Authors:  Naud Alexandre; Sueur Cédric; Basile Chaix; Kestens Yan
Journal:  Health Place       Date:  2020-10-05       Impact factor: 4.078

  1 in total

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