Factors for Habit Formation of Physical Activity

2017 ◽  
Vol 1 (2) ◽  
pp. 21-27
Author(s):  
Yoongu Lee ◽  
Yong-Jin Yoon ◽  
Sibak Sung
Keyword(s):  
Physical Activity ◽  
Habit Formation

Application of the Multi-Process Action Control Model to Predict Physical Activity During Late Adolescence

2021 ◽  
pp. 1-7
Author(s):  
Matthew Y.W. Kwan ◽  
Denver M.Y. Brown ◽  
Pallavi Dutta ◽  
Imran Haider ◽  
John Cairney ◽  
...  
Keyword(s):  
Physical Activity ◽  
School Board ◽  
Habit Formation ◽  
Late Adolescence ◽  
Action Control ◽  
Control Model ◽  
Southern Ontario ◽  
Reflective Process ◽  
Coping Planning ◽  
Explained Variance

The aim of this study was to apply the Multi-Process Action Control model to examine how the additions of regulatory and reflexive processes predict physical activity (PA) behaviors among adolescents. Our sample included 1,176 Grade 11 students (Mage = 15.85 ± 0.38) recruited from a large school board in Southern Ontario. Participants completed a questionnaire including measures of self-reported PA and PA cognitions derived from the Multi-Process Action Control model. Results found the reflective process explaining 16.5% of the variance in PA, with the additions of regulatory and reflexive processes significantly improving the explained variance by 5.1% and 8.2%, respectively. Final models revealed coping planning (estimate = 45.10, p = .047), identity (estimate = 55.82, p < .001), and habit (estimate = 64.07, p < .001) as significant predictors of PA. Findings reinforce the need for integrative models to better understand PA, with coping planning, habit formation, and development of an active identity to be salient targets for intervention during adolescence.

Mediating Mechanisms in a Physical Activity Intervention: A Test of Habit Formation

2018 ◽  
Vol 40 (2) ◽  
pp. 101-110 ◽  
Author(s):  
Navin Kaushal ◽  
Ryan E. Rhodes ◽  
John T. Meldrum ◽  
John C. Spence
Keyword(s):  
Physical Activity ◽  
Habit Formation ◽  
Physical Activity Intervention ◽  
Mediating Mechanisms

Habit Formation Among Regular Exercisers at Fitness Centers: An Exploratory Study

2013 ◽  
Vol 10 (4) ◽  
pp. 607-613 ◽  
Author(s):  
Karyn Tappe ◽  
Ellen Tarves ◽  
Jayme Oltarzewski ◽  
Deirdra Frum
Keyword(s):  
Physical Activity ◽  
Habit Formation ◽  
Activity Patterns ◽  
Exercise Adherence ◽  
Physical Activity Behavior ◽  
Self Report ◽  
The Novel ◽  
Exercise Frequency ◽  
Fitness Clubs ◽  
Measurement Tools

Background:Predictive modeling for physical activity behavior has included many different psychological components, including planning, motivation, personality, and self-efficacy. However, habit formation in exercise maintenance has not been well explored and lacks reliable measurement tools. The current study explores novel survey questions that examine behavioral components of exercise habit, including frequency, environmental cuing, and temporal constancy of behavior. We then relate these concepts to an established psychological measure of habit, the Self-Report Habit Inventory (SRHI).Methods:One hundred and seventy-four exercisers were surveyed at 2 private fitness clubs. A single questionnaire was administered that included the SRHI and the novel behavioral questions developed from habit formation concepts.Results:Habit formation was reported by many of the exercisers. Participants scoring higher on the SRHI also reported higher frequency of physical activity and a higher probability of environmental cuing. Exercise frequency did not correlate well with environmental cuing.Conclusions:Habit formation appears relevant to the physical activity patterns of many regular exercisers. However, wide variation in response styles was evident suggesting further development and exploration of the novel questionnaire is warranted. The ultimate goals are to include habit in predictive models of physical activity, and then to inform interventions to increase exercise adherence.

Increasing Physical Activity Through Principles of Habit Formation in New Gym Members: a Randomized Controlled Trial

2017 ◽  
Vol 51 (4) ◽  
pp. 578-586 ◽  
Author(s):  
Navin Kaushal ◽  
Ryan E. Rhodes ◽  
John C. Spence ◽  
John T. Meldrum
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Habit Formation ◽  
Controlled Trial ◽  
Randomized Controlled

scholarly journals Facilitating Exercise Habit Formation among Cardiac Rehabilitation Patients: A Randomized Controlled Pilot Trial

2021 ◽  
Vol 18 (12) ◽  
pp. 6440
Author(s):  
Navin Kaushal ◽  
Marie Payer ◽  
Béatrice Bérubé ◽  
Martin Juneau ◽  
Louis Bherer
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Habit Formation ◽  
Pilot Trial ◽  
Exercise Adherence ◽  
Phone Call ◽  
Control Group ◽  
Coronary Syndrome ◽  
Randomized Controlled ◽  
Experimental Group

Background: The importance of promoting exercise adherence among individuals with acute coronary syndrome (ACS) is imperative. However, challenges in maintaining behavior among ACS patients are also well-documented. Emerging findings in the general population have supported the use of habit-formation techniques, which include incorporating routine consistency and cues, to be effective for facilitating exercise behavior. The effectiveness of habit formation approaches, however, has not been tested on participants with ACS. The purpose of this study was to test the effectiveness of facilitating physical activity habits among patients with ACS in a two-arm, parallel design, randomized controlled pilot trial. Methods: Participants (n = 13) were older adult patients (M age = 64.20, SD = 5.35) with ACS who were referred to a cardiac rehabilitation center. The experimental group attended monthly group meetings from months 1–3 and received phone call follow-ups from months 4–6. Conclusions: The experimental group showed an increase in weekly moderate-to-vigorous level physical activity, M = 228.20 mins (SD = 112.45), compared with the control group, M = 151.17 (SD = 112.22), d = 0.61. The experimental condition also showed greater use of routine consistency (experimental: M = 4.60 (SD = 0.548); control: M = 3.76 (SD = 1.62)) and cue usage (experimental: M = 3.60 (SD = 0.471); control: M= 2.60 (SD = 0.398)) over the control condition at the six-month mark. The study supports the effectiveness of habit-building techniques among patients with ACS, with effect sizes ranging from a medium to large magnitude. Findings from this pilot study support a full clinical trial with larger sample size.

scholarly journals Perceptions and Experiences of Women Participating in a Digital Technology–Based Physical Activity Intervention (the mPED Trial): Qualitative Study

10.2196/13570 ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. e13570 ◽  
Author(s):  
Teri Lindgren ◽  
Julie Hooper ◽  
Yoshimi Fukuoka
Keyword(s):  
Physical Activity ◽  
Digital Technology ◽  
Technology Use ◽  
Habit Formation ◽  
Intervention Group ◽  
Qualitative Description ◽  
Control Group ◽  
Activity Levels ◽  
Tracking Technology ◽  
Physically Inactive

Background Despite the benefits of regular physical activity, women in every age group have lower activity levels than men, and few women meet the recommended levels of physical activity. Digital technologies have been useful in increasing physical activity during the course of an interventional study. However, sustaining that activity once the clinical trial was complete was a major challenge. Objective This study aimed to describe the experiences and perspectives of physically inactive women who completed the mobile phone–based physical activity education (mPED), a randomized controlled trial, at 12 months. Methods Of 210 women who were enrolled in the mPED trial, 203 completed a 12-month open-ended exit interview and survey through phone. The participants were asked about their physical activity levels; their digital technology use; what they learned from, liked, and would change about the trial; their motivations to keep active post-trial; and their advice for other women. Interviews were transcribed verbatim and thematically analyzed using the brief survey qualitative description. Descriptive statistics were used to describe the survey data with the significance level set at P<.05. Results In the 12-month survey, a greater proportion of the participants in the intervention group, compared with the control group, reported that they regularly wore a pedometer or physical activity tracker (49.3%, 66/143 vs 26.1%, 18/69; P=.002) and engaged in brisk walking (54.5%, 73/134 vs 30.4%, 21/69; P=.001). The experiences and perceptions of physical activity of physically inactive women over time were embedded in a complex interplay of internal and external factors. A total of 6 interactive themes emerged as critical in supporting continued engagement in physical activity postintervention: tracking, technology versus personal touch, accountability, resources and environment, motivation, and habit formation. Technology allowed for self-tracking, which supported internal accountability. However, tracking by another person (personal touch) was needed for external accountability. Resources and environment underpinned the relationship among the themes of tracking, technology versus personal touch, accountability, motivation, and habit formation. Conclusions Future research is needed to identify the best ways to harness this dynamic process in promoting and sustaining physical activity among inactive women. Digital technology is evolving at an exponential rate and provides new opportunities to transform research into new approaches to promote physical activity. Trial Registration ClinicalTrials.gov NCT01280812; https://clinicaltrials.gov/ct2/show/NCT01280812 International Registered Report Identifier (IRRID) RR2-10.1186/1471-2485-11-933

scholarly journals Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled Trial

10.2196/15085 ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. e15085 ◽  
Author(s):  
Meihua Piao ◽  
Hyeongju Ryu ◽  
Hyeongsuk Lee ◽  
Jeongeun Kim
Keyword(s):  
Physical Activity ◽  
Habit Formation ◽  
Healthy Lifestyle ◽  
Intervention Group ◽  
Self Report ◽  
Office Workers ◽  
Stair Climbing ◽  
Control Group ◽  
Intrinsic Rewards ◽  
Significant Difference

Background Lack of time for exercise is common among office workers given their busy lives. Because of occupational restrictions and difficulty in taking time off, it is necessary to suggest effective ways for workers to exercise regularly. Sustaining lifestyle habits that increase nonexercise activity in daily life can solve the issue of lack of exercise time. Healthy Lifestyle Coaching Chatbot is a messenger app based on the habit formation model that can be used as a tool to provide a health behavior intervention that emphasizes the importance of sustainability and involvement. Objective This study aimed to assess the efficacy of the Healthy Lifestyle Coaching Chatbot intervention presented via a messenger app aimed at stair-climbing habit formation for office workers. Methods From February 1, 2018, to April 30, 2018, a total of 106 people participated in the trial after online recruitment. Participants were randomly assigned to the intervention group (n=57) or the control group (n=49). The intervention group received cues and intrinsic and extrinsic rewards for the entire 12 weeks. However, the control group did not receive intrinsic rewards for the first 4 weeks and only received all rewards as in the intervention group from the fifth to twelfth week. The Self-Report Habit Index (SRHI) of participants was evaluated every week, and the level of physical activity was measured at the beginning and end of the trial. SPSS Statistics version 21 (IBM Corp) was used for statistical analysis. Results After 4 weeks of intervention without providing the intrinsic rewards in the control group, the change in SRHI scores was 13.54 (SD 14.99) in the intervention group and 6.42 (SD 9.42) in the control group, indicating a significant difference between the groups (P=.04). When all rewards were given to both groups, from the fifth to twelfth week, the change in SRHI scores of the intervention and control groups was comparable at 12.08 (SD 10.87) and 15.88 (SD 13.29), respectively (P=.21). However, the level of physical activity showed a significant difference between the groups after 12 weeks of intervention (P=.045). Conclusions This study provides evidence that intrinsic rewards are important to enhance the sustainability and effectiveness of an intervention. The Healthy Lifestyle Coaching Chatbot program can be a cost-effective method for healthy habit formation. Trial Registration Clinical Research Information Service KCT0004009; https://tinyurl.com/w4oo7md

scholarly journals Perceptions and Experiences of Women Participating in a Digital Technology–Based Physical Activity Intervention (the mPED Trial): Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Teri Lindgren ◽  
Julie Hooper ◽  
Yoshimi Fukuoka
Keyword(s):  
Physical Activity ◽  
Digital Technology ◽  
Technology Use ◽  
Habit Formation ◽  
Intervention Group ◽  
Qualitative Description ◽  
Control Group ◽  
Activity Levels ◽  
Tracking Technology ◽  
Physically Inactive

BACKGROUND Despite the benefits of regular physical activity, women in every age group have lower activity levels than men, and few women meet the recommended levels of physical activity. Digital technologies have been useful in increasing physical activity during the course of an interventional study. However, sustaining that activity once the clinical trial was complete was a major challenge. OBJECTIVE This study aimed to describe the experiences and perspectives of physically inactive women who completed the mobile phone–based physical activity education (mPED), a randomized controlled trial, at 12 months. METHODS Of 210 women who were enrolled in the mPED trial, 203 completed a 12-month open-ended exit interview and survey through phone. The participants were asked about their physical activity levels; their digital technology use; what they learned from, liked, and would change about the trial; their motivations to keep active post-trial; and their advice for other women. Interviews were transcribed verbatim and thematically analyzed using the brief survey qualitative description. Descriptive statistics were used to describe the survey data with the significance level set at <italic>P</italic>&lt;.05. RESULTS In the 12-month survey, a greater proportion of the participants in the intervention group, compared with the control group, reported that they regularly wore a pedometer or physical activity tracker (49.3%, 66/143 vs 26.1%, 18/69; <italic>P</italic>=.002) and engaged in brisk walking (54.5%, 73/134 vs 30.4%, 21/69; <italic>P</italic>=.001). The experiences and perceptions of physical activity of physically inactive women over time were embedded in a complex interplay of internal and external factors. A total of 6 interactive themes emerged as critical in supporting continued engagement in physical activity postintervention: tracking, technology versus personal touch, accountability, resources and environment, motivation, and habit formation. Technology allowed for self-tracking, which supported internal accountability. However, tracking by another person (personal touch) was needed for external accountability. Resources and environment underpinned the relationship among the themes of tracking, technology versus personal touch, accountability, motivation, and habit formation. CONCLUSIONS Future research is needed to identify the best ways to harness this dynamic process in promoting and sustaining physical activity among inactive women. Digital technology is evolving at an exponential rate and provides new opportunities to transform research into new approaches to promote physical activity.

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