Predicting Physical Activity Intention and Behavior in School-Age Children

2008 ◽  
Vol 20 (3) ◽  
pp. 342-356 ◽  
Author(s):  
Louise Foley ◽  
Harry Prapavessis ◽  
Ralph Maddison ◽  
Shauna Burke ◽  
Erin McGowan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Behavioral Control ◽  
Integrated Model ◽  
School Age Children ◽  
Perceived Behavioral Control ◽  
School Aged Children ◽  
Efficacy Measures ◽  
Objectively Measured ◽  
And Behavior

Two studies were conducted to predict physical activity in school-aged children. Study 1 tested the utility of an integrated model in predicting physical activity (PA) intention and behavior—the theory of planned behavior (TPB) and self-efficacy theory. Six hundred and forty-five New Zealand children (aged 11–13 years) completed measures corresponding to the integrated model and a self-reported measure of PA one week later. Perceived behavioral control (PBC) and subjective norm were the two strongest predictors of intentions. Task efficacy and barrier efficacy were the two strongest predictors of PA. A second study (Study 2) was conducted to determine whether the self-efficacy measures could discriminate objectively measured PA levels. Sixty-seven Canadian children (aged 11–13 years) completed task and barrier self-efficacy measures. The following week, children classified as ‘high’ (n = 11) and ‘lower’ (n = 7) for both task and barrier efficacy wore an Actical® monitor for seven consecutive days to provide activity-related energy expenditure (AEE) data. Results showed that children with high efficacy expended significantly greater AEE than their lower efficacious counterparts. Findings from these two studies provide support for the use of self-efficacy interventions as a potentially useful means of increasing PA levels among school-aged children.

Adolescent Physical Activity: Does Implementation Intention Have a Role?

2010 ◽  
Vol 7 (4) ◽  
pp. 497-507 ◽  
Author(s):  
Vaughan Roberts ◽  
Ralph Maddison ◽  
Jane Magnusson ◽  
Harry Prapavessis
Keyword(s):  
Physical Activity ◽  
Social Cognitive ◽  
Behavioral Control ◽  
Implementation Intention ◽  
Integrated Model ◽  
Self Report ◽  
Future Research ◽  
Perceived Behavioral Control ◽  
Objectively Measured ◽  
Goal Intention

Background:The current study tested the utility of an integrated social cognitive model to predict physical activity (PA) intentions and behavior in New Zealand adolescents.Method:Seventy-two adolescents (mean age = 16.92, SD = 0.66) completed measures consistent with the integrated model (attitude, subjective norm, perceived behavioral control [PBC], goal intention, task-efficacy, barrier efficacy, and implementation intention). Pedometer data (Yamax SW200 pedometer) were collected for 7 days, and a self-report 7-day recall questionnaire was administered at the end of this week. A series of hierarchical regression analyses were conducted to examine the contribution of the model to PA goal intention, implementation intention, self-reported and objective PA.Results:The integrated model accounted for 41% of goal intention, 33% of implementation intention, and 41% and 18% of subjectively and objectively measured PA, respectively. PBC had the strongest association with goal intention whereas attitude had the strongest association with implementation intention. Task-efficacy made the greatest contribution to objectively measured PA, whereas implementation intention had the strongest association with subjectively measured PA.Conclusion:These findings have implications regarding PA measurement in adolescent populations, and suggest that social cognitive variables play an important role in adolescent PA. Recommendations for future research are discussed.

Predicting Vigorous Physical Activity of Corporate Employees: Comparing the Theories of Reasoned Action and Planned Behavior

1992 ◽  
Vol 14 (2) ◽  
pp. 192-206 ◽  
Author(s):  
Jay Kimiecik
Keyword(s):  
Physical Activity ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Perceived Control ◽  
Reasoned Action ◽  
Behavioral Control ◽  
Vigorous Physical Activity ◽  
Hierarchical Regression ◽  
Perceived Behavioral Control ◽  
And Behavior

The purpose of the present study was to compare the utility of the theories of reasoned action and planned behavior in predicting the exercise intentions and behavior of corporate employees. Corporate employees (/7=332) who completed two questionnaires served as subjects. The first questionnaire assessed intentions, subjective norm, attitude, and perceived control with respect to participating in regular, vigorous physical activity. Participants also completed a follow-up questionnaire 4 weeks later that assessed self-reported frequency of vigorous physical activity during those 4 weeks. Hierarchical-regression analyses indicated that perceived behavioral control (the critical variable in the theory of planned behavior) accounted for a significant portion of the variance in intentions and self-reported exercise behavior, above that accounted for by reasoned action. These results lend support to Ajzen's theory of planned behavior, which suggests that individuals' perceptions of control are most important when attempting behaviors that are not completely under volitional control.

Social-Cognitive Determinants of Physical Activity Attendance in Older Adults

2006 ◽  
Vol 14 (3) ◽  
pp. 344-359 ◽  
Author(s):  
Fabio Lucidi ◽  
Caterina Grano ◽  
Claudio Barbaranelli ◽  
Cristiano Violani
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Behavioral Control ◽  
Perceived Behavioral Control ◽  
Predictive Capacity ◽  
Class Attendance ◽  
Cognitive Determinants ◽  
Intention To Exercise

The present study evaluated whether, and to what extent, the constructs implicated in the theory of planned behavior could predict behavioral intention to exercise and exercise-class attendance of older adults (age 65–90 years) already enrolled in a physical activity program. The study also evaluated whether including self-efficacy judgments might improve the predictive capacity of the model. Participants (N = 1,095) were randomly sampled Italian volunteers from exercise classes for older adults. First, they completed questionnaires assessing the above-mentioned constructs. Then, class attendance was recorded during the following 3 months. Results indicated a substantial correspondence between the model and the data. Perceived behavioral control and self-efficacy were the strongest predictors of behavioral intention, whereas attitudes and subjective norms only partially contributed to its prediction. The inclusion of self-efficacy improved the predictive capacity of the overall model. Finally, results showed a weak relation between behavioral intention and attendance rate in physical activity sessions.

scholarly journals A Meta-Analytic Review of the Theories of Reasoned Action and Planned Behavior in Physical Activity: Predictive Validity and the Contribution of Additional Variables

2002 ◽  
Vol 24 (1) ◽  
pp. 3-32 ◽  
Author(s):  
Martin S. Hagger ◽  
Nikos L.D. Chatzisarantis ◽  
Stuart J.H. Biddle
Keyword(s):  
Physical Activity ◽  
Planned Behavior ◽  
Self Efficacy ◽  
Reasoned Action ◽  
Behavioral Control ◽  
Perceived Behavioral Control ◽  
Past Behavior ◽  
Path Analyses ◽  
Analytic Review ◽  
Quantitative Integration

The aim of the present study was to examine relations between behavior, intentions, attitudes, subjective norms, perceived behavioral control, self-efficacy, and past behavior across studies using the Theories of Reasoned Action (TRA) and Planned Behavior (TPB) in a physical activity context. Meta-analytic techniques were used to correct the correlations between the TRA/TPB constructs for statistical artifacts across 72 studies, and path analyses were conducted to examine the pattern of relationships among the variables. Results demonstrated that the TRA and TPB both exhibited good fit with the corrected correlation matrices, but the TPB accounted for more variance in physical activity intentions and behavior. In addition, self-efficacy explained unique variance in intention, and the inclusion of past behavior in the model resulted in the attenuation of the intention-behavior, attitude-intention, self-efficacy-intention, and self-efficacy-behavior relationships. There was some evidence that the study relationships were moderated by attitude-intention strength and age, but there was a lack of homogeneity in the moderator groups. It was concluded that the major relationships of the TRA/TPB were supported in this quantitative integration of the physical activity literature, and the inclusion of self-efficacy and past behavior are important additions to the model.

Comparison of Barriers Self-Efficacy and Perceived Behavioral Control for Explaining Physical Activity Across 1 Year Among Adolescent Girls.

2005 ◽  
Vol 24 (1) ◽  
pp. 106-111 ◽  
Author(s):  
Robert W. Motl ◽  
Rod K. Dishman ◽  
Dianne S. Ward ◽  
Ruth P. Saunders ◽  
Marsha Dowda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Adolescent Girls ◽  
Self Efficacy ◽  
Behavioral Control ◽  
Perceived Behavioral Control

Potential Predictors of College Women Meeting Strength Training Recommendations: Application of the Integrated Behavioral Model

2015 ◽  
Vol 12 (7) ◽  
pp. 998-1004 ◽  
Author(s):  
Megan S. Patterson ◽  
M. Renée Umstattd Meyer ◽  
Jill M. Beville
Keyword(s):  
Physical Activity ◽  
Strength Training ◽  
College Women ◽  
Self Efficacy ◽  
Behavioral Control ◽  
Vigorous Physical Activity ◽  
Behavioral Model ◽  
Perceived Behavioral Control ◽  
Integrated Behavioral Model ◽  
Muscle Strengthening

Background:Due to numerous health benefits, national recommendations call Americans to participate in muscle-strengthening activities at least 2 days/week. However, college-aged women tend to fall short of recommendations. This study sought to examine correlates of college women meeting strength training recommendations using the Integrated Behavioral Model (IBM).Methods:Undergraduate women (n = 421) completed surveys measuring strength training, demographics, and IBM constructs. Descriptive, bivariate, and multivariate analyses were conducted using SPSS 19.Results:Respondents were on average 20.1 years old, 79.3% were white, and 66.3% did not meet strength training recommendations. Bivariate correlations revealed significant relationships (P ≤ .01) between strength training and attitude, descriptive norms, perceived behavioral control, self-efficacy, intention, and moderate-to-vigorous physical activity. A logistic regression model revealed self-efficacy, intention, and moderate-to-vigorous physical activity were predictive of college women meeting U.S. strength training recommendations.Conclusions:This study supports using the IBM to understand strength training behavior among college women. Further research is needed to better understand mediating effects among IBM constructs.

scholarly journals Gender Differences in Uptake, Adherence and Experiences: A Longitudinal, Mixed-Methods Study of a Physical Activity Referral Scheme in Scotland, UK

2021 ◽  
Vol 18 (4) ◽  
pp. 1700
Author(s):  
Coral L. Hanson ◽  
Lis Neubeck ◽  
Richard G. Kyle ◽  
Norrie Brown ◽  
Robyn Gallagher ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Mixed Methods ◽  
Self Efficacy ◽  
Personal Factors ◽  
Staff Support ◽  
Telephone Interviews ◽  
Efficacy Measures ◽  
Gender Perspectives ◽  
Stratified Analysis

Physical activity referral schemes (PARS) are implemented internationally to increase physical activity (PA), but evidence of effectiveness for population subgroups is equivocal. We examined gender differences for a Scottish PARS. This mixed-methods, concurrent longitudinal study had equal status quantitative and qualitative components. We conducted 348 telephone interviews across three time points (pre-scheme, 12 and 52 weeks). These included validated self-reported PA and exercise self-efficacy measures and open-ended questions about experiences. We recruited 136 participants, of whom 120 completed 12-week and 92 completed 52-week interviews. PARS uptake was 83.8% (114/136), and 12-week adherence for those who started was 43.0% (49/114). Living in less deprived areas was associated with better uptake (p = 0.021) and 12-week adherence (p = 0.020), and with male uptake (p = 0.024) in gender-stratified analysis. Female adherers significantly increased self-reported PA at 12 weeks (p = 0.005) but not 52 weeks. Males significantly increased exercise self-efficacy between baseline and 52 weeks (p = 0.009). Three qualitative themes and eight subthemes developed; gender perspectives, personal factors (health, social circumstances, transport and attendance benefits) and scheme factors (communication, social/staff support, individualisation and age appropriateness). Both genders valued the PARS. To increase uptake, adherence and PA, PARS should ensure timely, personalised communication, individualised, affordable PA and include mechanisms to re-engage those who disengage temporarily.

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

scholarly journals Do Entrepreneurial Mindset and Perceived Behavioural Control Matter Entrepreneurial Intention?

2021 ◽  
Vol 9 (2) ◽  
pp. 131-145
Author(s):  
Thusy Tiara Saraswati ◽  
Aniek Indrawati ◽  
Ludi Wishnu Wardana
Keyword(s):  
Self Efficacy ◽  
Behavioral Control ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Entrepreneurial Intention ◽  
Perceived Behavioral Control ◽  
Direct And Indirect Effects ◽  
Substantial Impact ◽  
Study Results ◽  
Descriptive Statistical Analysis

Entrepreneurial Intention is a component that can explain the mindset and have a substantial impact on individual behavior. This fact indicates how hard a person's mindset is in trying and how much effort is put in so that the desired behavior can be carried out. This study examines the direct and indirect effects of an entrepreneurial mindset, perceived behavioral control, and entrepreneurial self-efficacy on entrepreneurial intention. A total of 354 students in Malang took part in this research. We used descriptive statistical analysis, multiple linear regression analysis, and path analysis. The study results found that the entrepreneurial mindset and perceived behavioral control affected entrepreneurial self-efficacy—similarly, entrepreneurial self-efficacy, entrepreneurial mindset, and perceived behavioral control on entrepreneurial intention. Our results also found that entrepreneurial self-efficacy failed to mediate the effect of the entrepreneurial mindset on entrepreneurial intention.

scholarly journals The effect of perceived educational support, self-efficacy and planned behavior predictors on entrepreneurial intention of Ho Chi Minh City University students

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nguyen Ngoc Duy Phuong ◽  
Quang Ngoc Thuy Van ◽  
Nguyen Duc Dung
Keyword(s):  
Planned Behavior ◽  
Undergraduate Students ◽  
Self Efficacy ◽  
Behavioral Control ◽  
Entrepreneurial Intention ◽  
Ho Chi Minh City ◽  
Perceived Behavioral Control ◽  
Educational Support ◽  
Education Support ◽  
Practical Implications

The research attempts to quantify the significance of perceived education support, self-efficacy, and the theory of planned behavior in predicting the entrepreneurial intention among undergraduate students in Ho Chi Minh City (HCMC). The paper employs a 28-item questionnaire to acquire information on undergraduate demographics and six variables based on the five-point Likert scale. SmartPLS version 3.0 was applied to analyze statistical data collecting from 312 students in three selected universities in Ho Chi Minh City. The findings indicate that perceived education support and two elements of theory planned behavior, specifically, attitude towards entrepreneurship and perceived behavioral control positively and significantly affect entrepreneurial intention. Furthermore, perceived education support had a strong correlation on attitude towards entrepreneurship. Overall, the paper suggests practical implications in increasing entrepreneurship intention toward undergraduates.

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