scholarly journals Effect of tailored, gamified, mobile physical activity intervention on life satisfaction and self-rated health in young adolescent men: A population-based, randomized controlled trial (MOPO study)

2017 ◽  
Vol 72 ◽  
pp. 13-22 ◽  
Author(s):  
Riitta Pyky ◽  
Heli Koivumaa-Honkanen ◽  
Anna-Maiju Leinonen ◽  
Riikka Ahola ◽  
Noora Hirvonen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Life Satisfaction ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Population Based ◽  
Young Adolescent ◽  
Self Rated Health ◽  
Randomized Controlled

Population-based randomized controlled trial of a stage-targeted physical activity intervention

2003 ◽  
Vol 25 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Alison L. Marshall ◽  
Adrian E. Bauman ◽  
Neville Owen ◽  
Michael L. Booth ◽  
David Crawford ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Population Based ◽  
Randomized Controlled

scholarly journals 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

10.2196/15024 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e15024
Author(s):  
Juul M J Coumans ◽  
Catherine A W Bolman ◽  
Anke Oenema ◽  
Lilian Lechner
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Physical Activity Intervention ◽  
Multinomial Logistic Regression ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Motivation To Change ◽  
Web Based ◽  
Multinomial Logistic Regression Analysis ◽  
Randomized Controlled

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

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