Using Wearables to Study Biopsychosocial Dynamics in Couples Who Cope With a Chronic Health Condition: Ambulatory Assessment Study.

Autor: Pauly T; Department of Gerontology, Simon Fraser University, Vancouver, BC, Canada., Lüscher J; Swiss Paraplegic Research, Nottwil, Switzerland.; Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland., Wilhelm LO; Medical School Berlin, Berlin, Germany.; Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany., Amrein MA; Department of Health Sciences, Helsana Group, Zurich, Switzerland., Boateng G; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland., Kowatsch T; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.; Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.; School of Medicine, University of St. Gallen, St.Gallen, Switzerland., Fleisch E; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.; Institute of Technology Management, University of St.Gallen, St. Gallen, Switzerland., Bodenmann G; Department of Psychology, University of Zurich, Zurich, Switzerland., Scholz U; Department of Psychology, University of Zurich, Zurich, Switzerland.; University Research Priority Area Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
Jazyk: angličtina
Zdroj: JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2024 Aug 05; Vol. 12, pp. e49576. Date of Electronic Publication: 2024 Aug 05.
DOI: 10.2196/49576
Abstrakt: Background: Technology has become an integral part of our everyday life, and its use to manage and study health is no exception. Romantic partners play a critical role in managing chronic health conditions as they tend to be a primary source of support.
Objective: This study tests the feasibility of using commercial wearables to monitor couples' unique way of communicating and supporting each other and documents the physiological correlates of interpersonal dynamics (ie, heart rate linkage).
Methods: We analyzed 617 audio recordings of 5-minute duration (384 with concurrent heart rate data) and 527 brief self-reports collected from 11 couples in which 1 partner had type II diabetes during the course of their typical daily lives. Audio data were coded by trained raters for social support. The extent to which heart rate fluctuations were linked among couples was quantified using cross-correlations. Random-intercept multilevel models explored whether cross-correlations might differ by social contexts and exchanges.
Results: Sixty percent of audio recordings captured speech between partners and partners reported personal contact with each other in 75% of self-reports. Based on the coding, social support was found in 6% of recordings, whereas at least 1 partner self-reported social support about half the time (53%). Couples, on average, showed small to moderate interconnections in their heart rate fluctuations (r=0.04-0.22). Couples also varied in the extent to which there was lagged linkage, that is, meaning that changes in one partner's heart rate tended to precede changes in the other partner's heart rate. Exploratory analyses showed that heart rate linkage was stronger (1) in rater-coded partner conversations (vs moments of no rater-coded partner conversations: r diff =0.13; P=.03), (2) when partners self-reported interpersonal contact (vs moments of no self-reported interpersonal contact: r diff =0.20; P<.001), and (3) when partners self-reported social support exchanges (vs moments of no self-reported social support exchange: r diff =0.15; P=.004).
Conclusions: Our study provides initial evidence for the utility of using wearables to collect biopsychosocial data in couples managing a chronic health condition in daily life. Specifically, heart rate linkage might play a role in fostering chronic disease management as a couple. Insights from collecting such data could inform future technology interventions to promote healthy lifestyle engagement and adaptive chronic disease management.
International Registered Report Identifier (irrid): RR2-10.2196/13685.
(©Theresa Pauly, Janina Lüscher, Lea Olivia Wilhelm, Melanie Alexandra Amrein, George Boateng, Tobias Kowatsch, Elgar Fleisch, Guy Bodenmann, Urte Scholz. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 05.08.2024.)
Databáze: MEDLINE