scholarly journals Randomized controlled trial of physical activity intervention effects on fatigue and depression in multiple sclerosis: Secondary analysis of data from persons with elevated symptom status

2020 ◽  
Vol 17 ◽  
pp. 100521 ◽  
Author(s):  
Robert W. Motl ◽  
Brian M. Sandroff
10.2196/15024 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e15024
Author(s):  
Juul M J Coumans ◽  
Catherine A W Bolman ◽  
Anke Oenema ◽  
Lilian Lechner

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


Author(s):  
Juul MJ Coumans ◽  
Catherine AW Bolman ◽  
Anke Oenema ◽  
Lilian Lechner

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. CLINICALTRIAL Netherlands Trial Register NL7333; https://www.trialregister.nl/trial/7333


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A209-A209
Author(s):  
Katie Cederberg ◽  
Robert Motl

Abstract Introduction Restless legs syndrome (RLS) occurs in approximately 26% of persons with multiple sclerosis (MS) and can worsen other symptoms of MS, including sleep quality. Physical activity represents a promising approach for managing RLS and its secondary effects in MS. This pilot randomized controlled trial examined the feasibility and efficacy of a physical activity intervention for improving RLS severity and secondary sleep outcomes among a sample of adults with MS. Methods Participants with MS (N=15) were randomly assigned into intervention (n=8) or waitlist control (n=7) conditions. The physical activity behavioral intervention was delivered over a 16-week period and outcomes were assessed at baseline and immediately following the 16-week period in both conditions. Results There was a significant, positive effect of the intervention on overall RLS severity (p=.01;ηρ2=.43), RLS severity during the night (p=.03,ηρ2=.35), RLS severity during the day while resting (p=.01,ηρ2=.44), and RLS severity during the day while active (p<.01,ηρ2=.61), and non-significant improvements in RLS severity while falling asleep (p=.33,ηρ2=.09). There were significant positive effects on sleep satisfaction (p<.01,ηρ2=.49) and non-significant improvements in self-reported global sleep quality (p=.35,ηρ2=.08). There was a significant intervention effect on self-reported time in bed (p=.03,ηρ2=.37) and total sleep time (p=.03,ηρ2=.36), and non-significant improvements in self-reported sleep latency (p=.08,ηρ2=.25), sleep efficiency (p=.27,ηρ2=.11), and daytime sleepiness (p=.52,ηρ2=.04; p=.35,ηρ2=.08; p=.51,ηρ2=.04). There was no significant effect of the intervention on device-measured sleep quality. Conclusion This study provides initial evidence for the feasibility and efficacy of a physical activity intervention for reducing RLS severity and possibly self-reported sleep quality outcomes in persons with MS. These preliminary results should inform a future, fully-powered randomized controlled trial that further establishes the efficacy of physical activity for reducing symptoms of RLS and secondary outcomes in a larger sample of adults with MS and RLS. Support (if any) This work was supported, in part, by the Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health [F31HD097903]. ClinicalTrials.gov Identification Number: NCT0406168.


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