Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jul 7, 2023
Date Accepted: Jun 5, 2024
Using wearables to study biopsychosocial dynamics in couples who cope with a chronic health condition: An ambulatory assessment study
ABSTRACT
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 disease as they tend to be a primary source of support.
Objective:
The current 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 (i.e., heart rate linkage).
Methods:
We analyzed 617 audio recordings of 5 min duration (384 with concurrent heart rate data) and 527 brief self-reports collected from 11 couples in which one partner had Type II diabetes during the course of their typical daily lives. Audio data was 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 multi-level models explored whether cross-correlations might differ by social contexts and exchanges.
Results:
65% 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 one partner self-reported social support about half the time (53%). Couples, on average, showed small to moderate interconnections in their heart rate fluctuations (r = .07 to .25). Couples also varied in the extent to which there was lagged linkage, i.e., 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; rdiff = .10, p = .047), (2) when partners self-reported interpersonal contact (vs. moments of no self-reported interpersonal contact; rdiff = .17, p = .002), and (3) when partners self-reported social support exchanges (vs. moments of no self-reported social support exchange; rdiff = .14, p = .006).
Conclusions:
Our study provides initial evidence for the utility of using wearables to collect biopsychosocial data in couples managing a chronic disease 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. Clinical Trial: n/a
Citation
The author of this paper has made a PDF available, but requires the user to login, or create an account.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.