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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 19, 2019
Open Peer Review Period: Jun 20, 2019 - Aug 15, 2019
Date Accepted: Mar 11, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Coumans JM, Bolman CA, Oenema A, Lechner L

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

J Med Internet Res 2020;22(7):e15024

DOI: 10.2196/15024

PMID: 32706659

PMCID: 7413275

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Predictors of Self-determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: An Observational Study

  • Juul M.J. Coumans; 
  • Catherine A.W. Bolman; 
  • Anke Oenema; 
  • Lilian Lechner

ABSTRACT

Background:

Tailoring an online intervention to participants’ preferences, e.g. by giving participants a choice which module(s) to follow, may increase engagement in the intervention, motivation for behavioural change, and possibly increase intervention effects. So far, little is known about what characteristics predict these module choices. Filling this knowledge gap is useful for optimising program engagement.

Objective:

We investigated the participants’ choice for a dietary or physical activity (PA) promotion module in our web-based computer-tailored intervention based on self-determination theory and motivational interviewing. Furthermore, we investigated which demographic characteristics, constructs from the self-determination theory (SDT) and motivational interviewing (MI), psychosocial constructs, advice on which module to follow and current behaviour were associated with these choices.

Methods:

Participants who were randomised into the intervention condition of the MyLifestyleCoach RCT, completed a baseline questionnaire and then continued to the opening session. Here, they received advice on their own diet and PA. At the session’s end, they chose which lifestyle module(s) they would like to follow (diet, PA, both or no module). Measurements included self-reported diet and PA, demographic information and several psychosocial and SDT/MI constructs. In total, data of 589 Dutch adults (58.6% women; mean age was 52.0 ±13.5 years) were analysed.

Results:

Of this sample, 55% chose to do both the diet and PA module (n = 322), about 25% chose to follow the diet module (n = 150), 18% preferred to follow no module and 2% chose to do the PA module only. Results from the stepwise multinomial logistic regression showed that older people, those who scored low on importance to change their current diet, those who scored high on importance to change their current PA levels, people who were more committed to eat healthily, those who were less committed to be physically active, and those who consumed more fruit were more likely to choose no module compared to the diet module. People who had more motivation to change their current PA, those who were less committed to change their current PA, and those who received a strong advice compared to a slight advice to follow the diet module were more likely to choose both modules compared to 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 combined factors could provide further insight into what predicts module choice, as current results were hard to interpret.


 Citation

Please cite as:

Coumans JM, Bolman CA, Oenema A, Lechner L

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

J Med Internet Res 2020;22(7):e15024

DOI: 10.2196/15024

PMID: 32706659

PMCID: 7413275

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