Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial

Autor:	Juul M. J. Coumans, Lilian Lechner, Anke Oenema, Catherine A W Bolman
Přispěvatelé:	RS: CAPHRI - R6 - Promoting Health & Personalised Care, Health promotion, Department of Health Psychology, RS-Research Line Health psychology (part of IIESB program)
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Data Analysis Male multiple health behaviors 020205 medical informatics ehealth Motivational interviewing Psychological intervention 02 engineering and technology DISEASE burden law.invention 0302 clinical medicine Randomized controlled trial law 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine lcsh:Public aspects of medicine health Middle Aged REASONS lcsh:R858-859.7 Female HEALTH BURDEN Psychology Psychosocial BEHAVIOR computer-tailoring Adult medicine.medical_specialty RELATIVE VALIDITY Adolescent self-determination theory QUESTIONNAIRE lifestyle promotion Health Informatics lcsh:Computer applications to medicine. Medical informatics Young Adult 03 medical and health sciences Intervention (counseling) eHealth medicine Humans Exercise Self-determination theory Aged Internet Original Paper disease module choice Computers behavior questionnaire MOTIVATION lcsh:RA1-1270 promotion Diet PROMOTION Physical therapy Observational study Self Report
Zdroj:	Journal of Medical Internet Research, Vol 22, Iss 7, p e15024 (2020) Journal of Medical Internet Research, 22(7):e15024. JMIR Publications Inc. Journal of Medical Internet Research Coumans, J M J, Bolman, C A W, Oenema, A & Lechner, L 2020, ' Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention : Secondary Analysis of Data From a Randomized Controlled Trial ', Journal of Medical Internet Research, vol. 22, no. 7, e15024, pp. 1-16 . https://doi.org/10.2196/15024 Journal of Medical Internet Research, 22(7):e15024, 1-16. JMIR PUBLICATIONS, INC
ISSN:	1438-8871 1439-4456
Popis:	Background Tailoring an online intervention to participant preferences (eg, by giving participants a choice which modules to follow) may increase engagement in the intervention, motivation for behavioral change, and possibly intervention effects. So far, little is known about what characteristics predict these module choices. Filling this knowledge gap is useful for optimizing program engagement. Objective We investigated participant choice for a dietary and/or physical activity (PA) promotion module in our web-based computer-tailored intervention based on self-determination theory (SDT) and motivational interviewing (MI). Furthermore, we investigated which demographic characteristics, current behavior, psychosocial constructs and constructs from SDT and MI, and program-related variables such as advice on which module to follow were associated with these choices. Methods Observational data were used from the randomized controlled trial MyLifestyleCoach of participants who were randomized into the intervention condition, completed the baseline questionnaire, and made a module choice in the opening session of the intervention. Here, they received advice on their own dietary and PA behavior. At the session’s end, they chose which lifestyle modules they would like to follow (both, diet, PA, or no module). Measurements included demographic information; self-reported diet and PA; and several psychosocial, SDT, and MI constructs. In total, data from 619 Dutch adults (59.6% women; mean age was 51.9 [SD 13.5] years) were analyzed. A stepwise multinomial logistic regression analysis was conducted to investigate which characteristics are related to module choice; the diet module served as reference category as almost everyone was advised to follow this module. Results Of this sample, 54.8% (339/619) chose to do both the diet and PA module, 25.4% (157/619) chose to follow the diet module, 17.8% (110/619) preferred to follow no module, and 2.1% (13/619) chose to do the PA module only. Furthermore, it was found that older people, those who consumed more fruit, and those who scored lower on importance to change their current diet were more likely to choose no module compared to the diet module. People who had more motivation to change their current PA and those who received strong advice compared with slight advice to follow the diet module were more likely to choose both modules compared with the diet module only. Conclusions The results show that more than half of the sample was interested in following both the diet and PA module in this online lifestyle intervention. Several characteristics were found to be related to module choice. A future challenge is to examine how this knowledge can be used to improve future interventions, such as tailoring (messages or content) on specific groups or examining where and how MI could be used to motivate people to make a certain module choice. Trial Registration Netherlands Trial Register NL7333; https://www.trialregister.nl/trial/7333
Databáze:	OpenAIRE
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