scholarly journals Habit Strength Moderates the Effects of Daily Action Planning Prompts on Physical Activity but Not Sedentary Behavior

2015 ◽  
Vol 37 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Jaclyn P. Maher ◽  
David E. Conroy
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Behavioral Intentions ◽  
Action Planning ◽  
Habit Strength ◽  
Change Technique ◽  
Behavior Change Technique ◽  
Planning Intervention

This study was designed to examine the moderating influence of habit strength on daily action planning effects on physical activity and sedentary behavior. A 2 by 2 design was used with experimental factors corresponding to action planning interventions for (a) engaging in physical activity and (b) limiting or interrupting sedentary behavior. At the end of each day for 1 week, university students (n = 195) completed (a) a questionnaire about their behavior during the day and behavioral intentions for the following day and (b) a planning intervention(s) corresponding to their randomly assigned experimental condition. Action planning increased physical activity in those with weak habits but decreased physical activity in those with strong habits compared with those who did not create action plans. Action planning did not impact sedentary behavior. Action planning was a useful behavior change technique for increasing physical activity in people with weak habits, but may be iatrogenic for those with strong habits.

Implementation Intentions for Exercise and Physical Activity: Who Do They Work For? A Systematic Review

2020 ◽  
Vol 17 (3) ◽  
pp. 349-359
Author(s):  
Justin Kompf
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Self Efficacy ◽  
Implementation Intentions ◽  
Perceived Behavioral Control ◽  
Cross Sectional ◽  
Change Technique ◽  
Randomized Control ◽  
Physical Activity And Exercise ◽  
Behavior Change Technique

Background: As a behavior change technique, implementation intentions are a cost-effective strategy to promote physical activity and exercise. This technique helps individuals plan when and where they will do a behavior. However, previous research on implementation intentions and physical activity has shown heterogeneous outcomes. Methods: The primary aim of this review was to systematically review the literature on the social cognitive variables that moderate the mediating effects of implementation intentions on physical activity and exercise. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, 22 papers yielded 24 studies. Of the 24 reviewed studies, 1 was cross-sectional, 12 were randomized control trials, 10 were longitudinal, and 1 was secondary data from a randomized control trial. Results: Habit strength, self-concordance, self-efficacy, perceived behavioral control, and intention were identified as moderating variables. Conditions for effectiveness for implementation intentions were observed. Implementation intentions are an effective behavior change technique for individuals who have preexisting intentions and strong self-efficacy. Conclusions: Implementation intentions may be a valuable behavior change technique for certain individuals. For self-efficacious individuals who desire to be physically active, implementation intentions can help translate intentions into behavior.

scholarly journals Applying the Behavior Change Technique Taxonomy to Four Multicomponent Childhood Obesity Interventions

2020 ◽  
pp. 019394592095478 ◽  
Author(s):  
Meghan M. JaKa ◽  
Caroline Wood ◽  
Sara Veblen-Mortenson ◽  
Shirley M. Moore ◽  
Donna Matheson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Behavior Change ◽  
Substantial Agreement ◽  
Target Behaviors ◽  
Change Technique ◽  
Obesity Intervention ◽  
Obesity Interventions ◽  
Multiple Behaviors ◽  
Behavior Change Technique

Applying the Behavior Change Technique Taxonomy has the potential to facilitate identification of effective childhood obesity intervention components. This article evaluates the feasibility of coding Childhood Obesity Prevention and Treatment Consortium interventions and compares reliability between external taxonomy-familiar coders and internal intervention-familiar coders. After training, coder pairs independently coded prespecified portions of intervention materials. An adjudication process was used to explore coding discrepancies. Reliability between internal and external coders was moderate (prevalence and bias-adjusted kappa .38 to .55). Reliability for specific target behaviors varied with substantial agreement for physical activity (.63 to .76) and moderate for dietary intake (.44 to .63). Applying the taxonomy to these interventions was feasible, but agreement was modest. Coding discrepancies highlight the importance of refining coding to capture the complexities of childhood obesity interventions, which often engage multiple recipients (e.g., parents and/or children) and address multiple behaviors (e.g., diet, physical activity, screen time).

scholarly journals A quasi-experimental investigation of college students’ ratings of two physical activity mobile apps with varied behavior change technique quantity

2019 ◽  
Vol 5 ◽  
pp. 205520761989134 ◽  
Author(s):  
Ashlee Davis ◽  
Rebecca Ellis
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Behavior Change ◽  
Selection Process ◽  
Mobile App ◽  
Subjective Quality ◽  
Significant Group ◽  
Change Technique ◽  
Perceived Impact ◽  
Behavior Change Technique

Background An assessment of how users rate physical activity apps of varying behavior change technique content is necessary to understand if users recognize differences in an app’s ability to promote physical activity. Objective The purpose of this study was to compare user ratings of an app with a lower behavior change technique count to an app with a higher behavior change technique count. Method Participants were randomly assigned to interact with either the high behavior change technique app or the low behavior change technique app using an iPad. Participants then completed a Mobile App Rating questionnaire. Results The final sample included 83 participants with an average age of 22.66 years (SD = 2.13; range = 20–29). Independent t-tests revealed significant group differences for perceived impact, t(81) = 5.27, p < .001, g = 1.15, 95% confidence interval (0.69, 1.62); engagement, t(81) = 6.71, p < .001, g = 1.15, 95% confidence interval (1.02, 1.87); aesthetics, t(81) = 4.29, p < .001, g = 1.15, 95% confidence interval (0.50, 1.38); and subjective quality, t(81) = 6.46, p < .001, g = 1.15, 95% confidence interval (0.75, 1.42), with participants from the high behavior change technique group scoring these qualities more positively than participants from the low behavior change technique group. Conclusion App users rated a physical activity app with higher behavior change technique content more favorably on aesthetics, engagement, subjective quality, and perceived impact than those with reduced behavior change technique content. Additional research is needed to understand how these perceptions influence users during the app selection process, as well as the efficacy of apps for promoting physical activity behavior change.

scholarly journals Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – An umbrella review

2020 ◽  
Author(s):  
Janis Fiedler ◽  
Tobias Eckert ◽  
Kathrin Wunsch ◽  
Alexander Woll
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Social Contexts ◽  
Just In Time ◽  
Umbrella Review ◽  
Behavior Change Techniques ◽  
Adaptive Interventions ◽  
The Impact

Abstract Background: Electronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology.Methods: PubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects (i.e. subjects without physical or physiological morbidities which would influence the realization of behaviors targeted by the respective interventions) were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized.Results: The systematic search reveled eleven systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions.Conclusion: Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions.Trial registration: The protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

One-year changes in physical activity and sedentary behavior among adolescents: the Croatian Physical Activity in Adolescence Longitudinal Study (CRO-PALS)

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Lovro Štefan ◽  
Maroje Sorić ◽  
Antonela Devrnja ◽  
Vilko Petrić ◽  
Marjeta Mišigoj-Duraković
Keyword(s):  
Physical Activity ◽  
High School ◽  
Energy Expenditure ◽  
Secondary School ◽  
Sedentary Behavior ◽  
Evaluation System ◽  
School Health ◽  
Sport Participation ◽  
Action Planning ◽  
School Students

Abstract Background Little is known about the concurrent change in physical activity (PA), sedentary behavior (SB) and sport participation (SP) during adolescence. The main purpose of this prospective and partly objective study was to simultaneously investigate PA, SBs and SP changes between the 1st and 2nd grades of high school in urban adolescents. Methods In this 1-year follow-up study, the participants were 81 secondary-school students (28 boys and 53 girls) aged 15.5 years at the baseline. PA was assessed with the SenseWear Armband multi-sensor activity monitor, while SBs were assessed by using School Health Action, Planning and Evaluation System (SHAPES) PA questionnaire. The SHAPES questionnaire was supplemented with two questions inquiring about SP in organized sports in school and outside of school. Results PA decreased markedly in both genders between the 1st and 2nd grades of high school. Total energy expenditure (TEE) was reduced by 13 kcal/kg/day on average in boys and by 10 kcal/kg/day in girls (p for both <0.001), while mean daily active energy expenditure (AEE) decreased by 7 kcal/kg/day (p < 0.001) and 3 kcal/kg/day (p = 0.04) in boys and girls, respectively. Similarly, the amount of moderate PA declined by 49 min/day in boys and 21 min/day in girls (p for both <0.001). At the same time vigorous PA was cut by 14 min/day (p < 0.001) and 3 min/day (p = 0.003) in boys and girls, respectively. Conversely, time spent in SBs did not show any change. Conclusion In conclusion, a decline in PA between the 1st and 2nd grades of high school was marked but was not accompanied with an increase in SBs. Policies aimed at increasing PA should be targeting the period of entering secondary school to offset the observed drop in PA.

scholarly journals Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – an umbrella review

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Janis Fiedler ◽  
Tobias Eckert ◽  
Kathrin Wunsch ◽  
Alexander Woll
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Social Contexts ◽  
Just In Time ◽  
Umbrella Review ◽  
Behavior Change Techniques ◽  
Adaptive Interventions ◽  
The Impact

Abstract Background Electronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology. Methods PubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects (i.e. subjects without physical or physiological morbidities which would influence the realization of behaviors targeted by the respective interventions) were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized. Results The systematic search revealed 11 systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions. Conclusion Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions. Trial registration The protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

scholarly journals Physical Activity, Sedentary Behavior, and Quality of Life among University Students

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Paweł F. Nowak ◽  
Agnieszka Bożek ◽  
Mateusz Blukacz
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Life Satisfaction ◽  
University Students ◽  
Sedentary Behavior ◽  
Young Person ◽  
Subjective Quality ◽  
Subjective Quality Of Life ◽  
And Gender

The aim of our study was to explore the relation between physical activity, sedentary behavior, and the subjective and objective indicators of quality of life as well as life satisfaction among university students, whose education is related to different dimensions on health. Participants (N = 595) were invited to fill in a set of suitable questionnaires. The path analysis and linear regression were used to establish a relationship between the examined constructs. Only some types of physical activity have shown a positive relation with the quality of life; the study also revealed some age and gender regularities. Physical activity in the household was most positively correlated to the quality of life. The amount of leisure and transport physical activity decreased with age, and there were also gender differences regarding the intensity and type of physical activity. Sedentary behavior during the week related positively with the subjective quality of life and its intimacy dimension, but sedentary behavior at the weekends was negatively related to objective and subjective quality of life as well as dimensions including intimacy, safety, and communicative aspect of the quality of life. Neither physical activity nor sedentary behavior demonstrated a significant relation with the level of life satisfaction. The type of physical activity undertaken and its matching to the needs of the young person affected their objective and subjective quality of life. Those findings may have important implications for institutions responsible for promoting active lifestyle.

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