scholarly journals Relations Between Autonomous Motivation and Leisure-Time Physical Activity Participation: The Mediating Role of Self-Regulation Techniques

2016 ◽  
Vol 38 (2) ◽  
pp. 128-137 ◽  
Author(s):  
Johanna Nurmi ◽  
Martin S. Hagger ◽  
Ari Haukkala ◽  
Vera Araújo-Soares ◽  
Nelli Hankonen
Keyword(s):  
Physical Activity ◽  
Process Model ◽  
Leisure Time Physical Activity ◽  
Self Regulation ◽  
Autonomous Motivation ◽  
Self Report ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Self Monitoring ◽  
Coping Planning

This study tested the predictive validity of a multitheory process model in which the effect of autonomous motivation from self-determination theory on physical activity participation is mediated by the adoption of self-regulatory techniques based on control theory. Finnish adolescents (N = 411, aged 17–19) completed a prospective survey including validated measures of the predictors and physical activity, at baseline and after one month (N = 177). A subsample used an accelerometer to objectively measure physical activity and further validate the physical activity self-report assessment tool (n = 44). Autonomous motivation statistically significantly predicted action planning, coping planning, and self-monitoring. Coping planning and self-monitoringmediated the effect of autonomous motivation on physical activity, although self-monitoring was the most prominent. Controlled motivation had no effect on self-regulation techniques or physical activity. Developing interventions that support autonomous motivation for physical activity may foster increased engagement in self-regulation techniques and positively affect physical activity behavior.

scholarly journals Predictors of School Students’ Leisure-Time Physical Activity: An Extended Trans-Contextual Model Using Bayesian Path Analysis

2020 ◽  
Author(s):  
Juho J. Polet ◽  
Jekaterina Schneider ◽  
Mary Hassandra ◽  
Taru Lintunen ◽  
Arto Laukkanen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Cognition ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Autonomous Motivation ◽  
Self Control ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
School Students ◽  
Contextual Model

Abstract Background: The trans-contextual model has been applied to identify the determinants of leisure-time physical activity participation in secondary school students. In the current study, the trans-contextual model was extended to include additional constructs that represent non-conscious, implicit processes that lead to leisure-time physical activity participation alongside the motivational and social cognition constructs from the model. The current study used baseline and follow-up data from an intervention study to test the extended model.Methods:The current study adopted a two-wave prospective design. Secondary-school students (N = 502) completed measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior all in a leisure-time physical activity context. Five weeks later, students (N = 298) completed a follow-up self-report measure of their leisure-time physical activity.Results: Bayesian path analyses supported two key premises of the model: perceived autonomous support predicted autonomous motivation in PE, and autonomous motivation in PE predicted autonomous motivation in leisure time. However, while both forms of autonomous motivation predicted social cognition constructs and intentions, they did not predict leisure-time physical activity participation. Trait self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some of the estimates.Conclusions: Findings raise some questions on the efficacy of the original trans-contextual model, but highlight the value of extending the model to incorporate additional constructs representing non-conscious processes.

scholarly journals Predictors of School Students’ Leisure-Time Physical Activity: An Extended Trans-Contextual Model Using Bayesian Path Analysis

2021 ◽  
Author(s):  
Juho J. Polet ◽  
Jekaterina Schneider ◽  
Mary Hassandra ◽  
Taru Lintunen ◽  
Arto Laukkanen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Cognition ◽  
Autonomy Support ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Autonomous Motivation ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
School Students ◽  
Contextual Model

Abstract The present study aimed to examine effects of motivational and social cognition constructs on children’s leisure-time physical activity participation alongside constructs representing implicit processes using an extended trans-contextual model. The study adopted a correlational prospective design. Secondary-school students (N = 502) completed self-report measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, and social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior in a leisure-time physical activity context. Five weeks later, students (N = 298) self-reported their leisure-time physical activity participation. Bayesian path analyses supported two key premises of the model: perceived autonomy support predicted autonomous motivation in PE, and autonomous motivation in PE predicted autonomous motivation in leisure time. Both forms of autonomous motivation predicted social cognition constructs and intentions, but did not predict leisure-time physical activity participation. Self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some model effects. Findings raise some questions on the predictive validity of the original trans-contextual model, but highlight the value of extending the model to incorporate additional constructs representing non-conscious processes.

scholarly journals Predictors of School Students’ Leisure-Time Physical Activity: An Extended Trans-Contextual Model Using Bayesian Path Analysis

2020 ◽  
Author(s):  
Juho J. Polet ◽  
Jekaterina Schneider ◽  
Mary Hassandra ◽  
Taru Lintunen ◽  
Arto Laukkanen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Cognition ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Autonomous Motivation ◽  
Self Control ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
School Students ◽  
Past Behavior

Abstract Background:The trans-contextual model (TCM) has been applied to identify the determinants of leisure-time physical activity participation in secondary school students. In the current study, the TCM was extended to include additional constructs that represent non-conscious, implicit processes that lead to leisure-time physical activity participation alongside the motivational and social cognition constructs from the TCM. The current study used baseline and follow-up data from an intervention study to test the extended TCM.Methods:The current study adopted a two-wave prospective design. Secondary-school students (N = 502) completed measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior all in a leisure-time physical activity context. Five weeks later, students (N = 298) completed a follow-up self-report measure of their leisure-time physical activity.Results:Bayesian path analyses supported two key premises of the model: perceived autonomous support predicted autonomous motivation in PE, and autonomous motivation in PE predicted autonomous motivation in leisure time. However, while both forms of autonomous motivation predicted social cognition constructs and intentions, they did not predict leisure-time physical activity participation. Trait self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some of the estimates.Conclusions:Findings raise some questions on the efficacy of the original TCM, but highlight the value of extending the TCM to incorporate additional constructs representing non-conscious processes.

scholarly journals Predictors of school students’ leisure-time physical activity: An extended trans-contextual model using Bayesian path analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258829
Author(s):  
Juho Polet ◽  
Jekaterina Schneider ◽  
Mary Hassandra ◽  
Taru Lintunen ◽  
Arto Laukkanen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Cognition ◽  
Autonomy Support ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Autonomous Motivation ◽  
Self Control ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Contextual Model

The present study aimed to examine effects of motivational and social cognition constructs on children’s leisure-time physical activity participation alongside constructs representing implicit processes using an extended trans-contextual model. The study adopted a correlational prospective design. Secondary-school students (N = 502) completed self-report measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, and social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior in a leisure-time physical activity context. Five weeks later, students (N = 298) self-reported their leisure-time physical activity participation. Bayesian path analyses supported two key premises of the model: perceived autonomy support was related to autonomous motivation in PE, and autonomous motivation in PE was related to autonomous motivation in leisure time. Indirect effects indicated that both forms of autonomous motivation were related to social cognition constructs and intentions. However, intention was not related to leisure-time physical activity participation, so model variables reflecting motivational processes did not account for substantive variance in physical activity participation. Self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. There were indirect effects of autonomous motivation in leisure time on intentions and physical activity participation mediated by self-control. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some model effects. Findings raise some questions on the predictive validity of constructs from the original trans-contextual model in the current sample, but highlight the value of extending the model to incorporate additional constructs representing non-conscious processes.

Perceived Barriers to and Benefits of Physical Activity among Black and White Women

1998 ◽  
Vol 7 (2) ◽  
pp. 1-32 ◽  
Author(s):  
Arlene E. Hall
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Social Cognitive ◽  
White Women ◽  
Leisure Time Physical Activity ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Lower Income ◽  
Middle Income ◽  
Black And White

This study is an examintion of the effects of race and income on leisure-time physical activity among women (n = 116). Perceived benefits of and barriers to participating in leisure-time physical activity were also compared. A regression model utilizing social cognitive variables was used to explore factors which may predict physical activity participation. No significant differences emerged between the groups regarding the amount of physical activity they reported either by race or socioeconomic status. Time expenditure emerged significantly different by race (p < .001) and income (p < .000); middle-income women reported time as a barrier more than lower-income women and Whites were likelier to report time as a barrier more than Blacks. Middle-income women perceived greater (p < .01) physical performance benefits from exercise than lower-income women. Social interaction, time expenditure, and body mass index were the strongest predictors of physical activity. The data and findings could be useful for increaseing our understanding of economic and racial disparities in physical activity participation and garnish information for use in constructing interven programs.

Determinants of Leisure Time Physical Activity Participation Among Latina Women

2008 ◽  
Vol 30 (5) ◽  
pp. 429-447 ◽  
Author(s):  
Maya A. Skowron ◽  
Monika Stodolska ◽  
Kimberly J. Shinew
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Latina Women

Remote Monitoring of Cancer Patient Participation in a 12-Week Online Yoga Study: Challenges and Directions for Future Research

2020 ◽  
Vol 3 (4) ◽  
pp. 338-345
Author(s):  
Ryan Eckert ◽  
Jennifer Huberty ◽  
Heidi Kosiorek ◽  
Shannon Clark-Sienkiewicz ◽  
Linda Larkey ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cancer Patients ◽  
Vigorous Physical Activity ◽  
Self Report ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Future Research ◽  
Online Interventions ◽  
Weekly Physical Activity ◽  
Remote Assessment

Introduction: The delivery of online interventions in cancer patients/survivors has increased. The measurement of participation in online interventions is important to consider, namely, the challenges of the remote assessment of activity. The purpose of this study was to report the measures used to assess intervention compliance and other physical activity participation in two online yoga studies, the relationship between the multimethod measures used, and the ability of cancer patients to complete these measures. Methods: The methods described are of two online yoga studies (feasibility and pilot). Cancer patients were asked to participate in 60 min/week of online yoga for 12 weeks, complete a weekly yoga log, wear a Fitbit daily for 12 weeks, and complete a weekly physical activity log. Finally, Clicky®, a web analytics software, was used to track online yoga participation. Results: Eighty-four people participated across both studies, with 63/84 participating in online yoga, averaging 57.5 ± 33.2 min/week of self-reported yoga participation compared to 41.4 ± 26.1 min/week of Clicky® yoga participation (Lin concordance = 0.28). All 84 participants averaged 95.5 ± 111.8 min/week of self-reported moderate/vigorous physical activity compared with 98.1 ± 115.9 min/week of Fitbit-determined moderate/vigorous physical activity (Lin concordance = 0.33). Across both studies, 82.9% of the yoga logs were completed, the Fitbit was worn on 75.2% of the days, and 78.7% of the physical activity logs were completed. Conclusions: Weak relationships between self-report and objective measures were demonstrated, but the compliance rates were above 75% for the study measures. Future research is needed, investigating the intricacies of self-report physical activity participation in remote interventions and the validation of a gold standard measurement for online interventions.

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