Oct 11, 2022
Mobility, well-being, and community participation among people with depression: an observation study using geographically-explicit ecological momentary assessment (GEMA)
- Maritta A Välimäki1,2,
- Man Sing Wong3,
- Thomas Choi4,
- Paul Lee5,
- Lin Yang4,
- Rick Kwan6,
- Oscar Chung4,
- Xinyu Yu3,
- Rui Zhu3,
- Sau-fong Leung4
- 1Xiangya Nursing School, Central South University, China;
- 2University of Turku, Finland;
- 3Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University;
- 4School of Nursing, The Hong Kong Polytechnic University;
- 5Department of Health Sciences, University of Leicester;
- 6School of Nursing, Tung Wah College
- Maritta A Välimäki: Corresponding author;
Collection Citation: Maritta A Välimäki, Man Sing Wong, Thomas Choi, Paul Lee, Lin Yang, Rick Kwan, Oscar Chung, Xinyu Yu, Rui Zhu, Sau-fong Leung 2022. Mobility, well-being, and community participation among people with depression: an observation study using geographically-explicit ecological momentary assessment (GEMA). protocols.io https://dx.doi.org/10.17504/protocols.io.5qpvory7bv4o/v1
License: This is an open access collection distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this collection and it's working
Created: October 11, 2022
Last Modified: October 11, 2022
Collection Integer ID: 71140
Keywords: Depression, GPS, Mental health, Mobility, Participation, Tracking technology, Well-being
Funders Acknowledgements:
Department of Neurobiology Care Science and Society, Karolinska Institutet and School of Nursing and The Hong Kong Polytechnic University Collaborative Research Grants Scheme
Grant ID: P0001924(ZZJT)
University of Turku, Finland
Grant ID: 26003424
Abstract
Information on the mobility and daily routines of persons with depression remains limited. Our goal was to describe a preliminary explication of the relationship between mobility, well-being, and community participation of people with depression, and the relationship between mobility and environmental measures on well-being. We used a multivariate, time-series, single-subject, repeated measures design. People with depression (N=33) used a GPS device two weeks for mobility tracking, and the records were extracted from Geographical Information Systems (GIS). Logistic regression of mobility and environmental measures on well-being outcomes were adjusted for age and sex. The correlation coefficients showed that the more hours participants (N=32) stayed at home, the more often they had depressive symptoms, their satisfaction with life was still higher. Participants with longer total distance reported more stress. The fewer destinations participants travelled to, the more depressive symptoms they had. Time spent outside home was also negatively associated with satisfaction with life and self-esteem. Our work showed that depressive symptoms may limit people’s willingness to move outside home although the pattern is not clear. More studies should be conducted to verify our assumption with a larger sample size.
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