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Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback
Oleh:
van der Krieke, Lian
;
Blaauw, Frank J.
;
Emerencia, Ando C.
;
Schenk, Hendrika M.
;
Slaets, Joris P. J.
;
de Jonge, Peter
;
Jeronimus, Bertus F.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Psychosomatic Medicine: Journal of Biobehavioral Medicine vol. 79 no. 02 (Feb. 2017)
,
page 213-223.
Topik:
Ecological Momentary Assessments
;
Idiographic
;
Dynamic Effect
;
Quality of Life
Ketersediaan
Perpustakaan FK
Nomor Panggil:
P01.K
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Objective: Recent developments in research and mobile health enable a quantitative idiographic approach in health research. The present study investigates the potential of an electronic diary crowdsourcing study in the Netherlands for (1) large-scale automated self-assessment for individual-based health promotion and (2) enabling research at both the between-persons and within-persons level. To illustrate the latter, we examined between-persons and within-persons associations between somatic symptoms and quality of life. Methods: A website provided the general Dutch population access to a 30-day (3 times a day) diary study assessing 43 items related to health and well-being, which gave participants personalized feedback. Associations between somatic symptoms and quality of life were examined with a linear mixed model. Results: A total of 629 participants completed 28,430 assessments, with a mean (SD) of 45 (32) assessments per participant. Most participants (n = 517 [82%]) were women and 531 (84%) had high education. Almost 40% of the participants (n = 247) completed enough assessments (t = 68) to generate personalized feedback including temporal dynamics between well-being, health behavior, and emotions. Substantial between-person variability was found in the within-person association between somatic symptoms and quality of life. Conclusions: We successfully built an application for automated diary assessments and personalized feedback. The application was used by a sample of mainly highly educated women, which suggests that the potential of our intensive diary assessment method for large-scale health promotion is limited. However, a rich data set was collected that allows for group-level and idiographic analyses that can shed light on etiological processes and may contribute to the development of empirical-based health promotion solutions.
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