Tailored physical activity behavior change interventions: challenges and opportunities

2021 ◽  
Author(s):  
Jasmin K Ma ◽  
Theresa A Floegel ◽  
Linda C Li ◽  
Jenny Leese ◽  
Mary A De Vera ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Participation Rates ◽  
Social Emotional ◽  
Physically Active ◽  
Behavior Change Interventions ◽  
Challenges And Opportunities ◽  
Activity Behavior ◽  
Provider Experience ◽  
Physical Activity Behavior Change

Lay Summary Being physically active has many social, emotional, and health benefits, but very few individuals are active enough to see those benefits. Using interventions that are tailored, in other words, individualized to a person’s characteristics, needs, preferences, and/or situation, may help improve physical activity participation rates. However, a better understanding of how to do tailoring is needed. Our collaboration reviewed the literature and convened to suggest two key opportunities to better understand how tailored approaches to physical activity can be done: (a) improve engagement of those who the research is intended for and (b) understand the ethical impacts and patient/provider experience of using technology to support tailoring.

scholarly journals Let’s build an app for that

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Manuel Ester ◽  
Julianna Dreger ◽  
Utkarsh Subnis ◽  
Shaneel Pathak ◽  
S.Nicole Culos-Reed
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Mobile App ◽  
Lessons Learned ◽  
Behavior Change Interventions ◽  
Improvement Process ◽  
Activity Behavior ◽  
Exercise Oncology ◽  
Physical Activity Behavior Change

The promotion of physical activity behavior change among adults with cancer is a research priority. Within this field, increasing attention is being devoted to the use of health technology, which includes mobile phones and applications, or apps, to support and deliver physical activity behavior change interventions. While building a mobile app is a popular proposal among exercise oncology researchers, little practical information exists on how this process should be done or what considerations researchers should take in collaboration with participants and industry. The present article provides an overview of recent experiences with app development in exercise oncology and outlines several recommendations for future research. Methods and Results: After forming an interdisciplinary team of researchers, industry partners, and exercise oncology program participants, an iterative, user-centered app improvement process was followed to collect feedback and make meaningful changes to an existing mobile health app for its use in exercise oncology. Participant feedback was summarized and addressed collaboratively via open discussion and detailed action plans. Changes made include enhanced introductory materials for the app and improvements to usability and personalization. Some requests remain to be addressed in future updates. Two challenges identified during the app improvement process were balancing the unique needs and priorities of all parties, as well as addressing the variable feedback from a variable population of adults with cancer. Conclusions and significance: A multidisciplinary participant-oriented app improvement process led to meaningful updates to the mobile application of interest, preparing researchers to carry out an evaluation of its effectiveness within exercise oncology. Furthermore, based on lessons learned, the research team present key recommendations to consider in future mobile app research before, during, and after the development process.

Physical Activity Behavior Change Interventions Based on the Transtheoretical Model: A Systematic Review

2008 ◽  
Vol 36 (5) ◽  
pp. 829-845 ◽  
Author(s):  
Andrew J. Hutchison ◽  
Jeff D. Breckon ◽  
Lynne H. Johnston
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Theoretical Model ◽  
Behavior Change ◽  
Transtheoretical Model ◽  
Physical Activity Behavior ◽  
Behavior Change Interventions ◽  
Sample Characteristics ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

This review critically examines Transtheoretical Model (TTM)—based interventions for physical activity (PA) behavior change. It has been suggested that the TTM may not be the most appropriate theoretical model for applications to PA behavior change. However, previous reviews have paid little or no attention to how accurately each intervention represents the TTM. Findings comprise two sections: sample characteristics of each intervention reviewed and a summary outlining the use of the TTM to develop the interventions. Results reveal numerous inconsistencies regarding the development and implementation/application of TTM-based interventions. Specifically, the majority of interventions reported to be based on the TTM fail to accurately represent all dimensions of the model. Therefore, until interventions are developed to accurately represent the TTM, the efficacy of these approaches and the appropriateness of the underpinning theoretical model cannot be determined.

Physical activity behavior change: Issues in adoption and maintenance.

2000 ◽  
Vol 19 (1, Suppl) ◽  
pp. 32-41 ◽  
Author(s):  
Bess H. Marcus ◽  
LeighAnn H. Forsyth ◽  
Elaine J. Stone ◽  
Patricia M. Dubbert ◽  
Thomas L. McKenzie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

scholarly journals Habitual Physical Activity Behavior of Patients After Primary Total Hip Arthroplasty

2008 ◽  
Vol 88 (9) ◽  
pp. 1039-1048 ◽  
Author(s):  
Robert Wagenmakers ◽  
Martin Stevens ◽  
Wiebren Zijlstra ◽  
Monique L Jacobs ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Hip Arthroplasty ◽  
Odds Ratio ◽  
Physical Activity Behavior ◽  
Moderate Intensity ◽  
Physically Active ◽  
Normative Population ◽  
Activity Behavior ◽  
Charnley Class ◽  
Health Enhancing Physical Activity

Background and Purpose Despite recognized health benefits of physical activity, little is known about the habitual physical activity behavior of patients after total hip arthroplasty (THA). The purpose of this study was to analyze this behavior and the fulfillment of guidelines for health-enhancing physical activity of these patients compared with a normative population. Subjects and Methods The participants were 273 patients who had undergone a primary THA (minimum of 1 year postoperatively). Comparisons were made between this group and 273 age- and sex-matched individuals from a normative population. Comparisons also were made between participants with THA under 65 years of age and those 65 years of age and older and among participants with THA in different Charnley classes. Level of physical activity was assessed with the Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH). Results No significant differences in total amount of physical activity or time spent in different categories of physical activity were found between the THA group and the normative group. Participants with THA spent significantly more minutes in activities of moderate intensity compared with the normative group. Participants with THA who were under 65 years of age were significantly more active than older participants with THA. Charnley class had significant effects on time spent at work, time spent in moderate-intensity activities, and total amount of activity, with the least activity performed by participants in Charnley class C. The guidelines were met by 51.2% of the participants with THA and 48.8% of the normative population. Female participants met the guidelines less frequently than male participants in both the combined groups (odds ratio=0.50, 95% confidence interval=0.35–0.72, P<.001) and the THA group (odds ratio=0.48, 95% confidence interval=0.28–0.80, P=.001). Discussion and Conclusion The results suggest that patients after THA are at least as physically active as a normative population. Nevertheless, a large percentage of these patients do not meet the guidelines; therefore, they need to be stimulated to become more physically active.

Automatic Regulation Used in Sport and Exercise Research

2017 ◽  
Author(s):  
Amanda L. Rebar
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Sport Performance ◽  
Self Report ◽  
Automatic Regulation ◽  
Physically Active ◽  
Self Identity ◽  
Automatic Associations ◽  
Activity Behavior ◽  
Sport And Exercise

Much of our sport and physical activity behavior is regulated by processes occurring outside of conscious awareness. In contrast, most sport and physical activity research focuses on processes that are easily accessible by conscious introspection. More and more, however, research is demonstrating that automatic regulation is instrumental to our understanding of how to get people to maintain a physically active lifestyle and how to get the most out of people’s sports performance potential. Automatic regulation is the influence on our thoughts and actions that result from the mental network of associations we use to make sense of the world around us. Habits are automatic associations of cues with behavioral responses. Automatic evaluations are automatic associations of cues as being good or bad. Automatic schemas are automatic associations of cues with actual or ideal self-identity. These processes have been assessed with implicit measures by making indirect inferences from self-report or response latency tasks. Emerging research demonstrates that automatic associations influence sport performance and physical activity behavior, but further work is still needed to establish which type of automatic regulation is responsible for these influences and how automatic regulation and reflective processes interact to impact movement.

A Review of Physical Activity Interventions Delivered via Facebook

2017 ◽  
Vol 14 (10) ◽  
pp. 823-833 ◽  
Author(s):  
David A. Ferrer ◽  
Rebecca Ellis
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Small Sample ◽  
Secondary Outcome ◽  
Control Group ◽  
Delivery Method ◽  
Physical Activity Interventions ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

Background:The use of social networking sites to deliver behavioral interventions is becoming more prevalent. The purpose of this review was to systematically evaluate the published research to determine the effectiveness of Facebook-delivered interventions for promoting physical activity behavior change.Methods:A search of interventions delivered via Facebook (as the primary delivery method or part of a multifaceted intervention) in which physical activity was the primary or secondary outcome resulted in 8 studies for review.Results:Overall, 87.5% of the Facebook interventions reported some type of significant physical activity behavior change (ie, interactions, main effects for time, differences between conditions); however, only 2 of these interventions found this change to be significantly better for the treatment group than the control group.Conclusion:Future researchers are encouraged to test the effectiveness of Facebook-delivered physical activity interventions with additional control groups that receive no aspects of the intervention within experimental study designs, more diverse samples, theory-based content with assessment of mediators of behavior change, direct observations of physical activity, and long-term follow-ups. Although based on a small sample of studies, Facebook appears to be a promising delivery method for physical activity interventions.

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