scholarly journals Self-Efficacy, Action Control, and Social Support Explain Physical Activity Changes Among Costa Rican Older Adults

2014 ◽  
Vol 11 (8) ◽  
pp. 1573-1578 ◽  
Author(s):  
Benjamin Reyes Fernández ◽  
Esteban Montenegro Montenegro ◽  
Nina Knoll ◽  
Ralf Schwarzer
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Self Efficacy ◽  
Action Control ◽  
Costa Rican ◽  
Activity Levels ◽  
High Social Support ◽  
Moderator Role

Background:Self-efficacy, action control, and social support are considered to influence changes in physical activity levels in older adults. This study examines the relationship among these variables and explores the putative mediating and moderating mechanisms that might account for activity changes.Methods:A longitudinal study with 54 older adults (≥ 50 years of age) was carried out in Costa Rica. In a moderated mediation analysis, action control was specified as a mediator between self-efficacy and physical activity, whereas social support was specified as a moderator between self-efficacy and action control. Baseline physical activity, age, and sex were specified as covariates.Results:Action control mediated between self-efficacy and physical activity. An interaction between social support and self-efficacy on action control pointed to a synergistic effect at the first stage of the mediating process.Conclusions:The effect of self-efficacy on physical activity was partly explained by action control, providing evidence of action control as a proximal mediator of physical activity. Moreover, the moderator role of social support was confirmed: high social support appeared to compensate for low levels of self-efficacy.

The Role of Social Support and Self-Efficacy in Shaping the Leisure Time Physical Activity of Older Adults

2007 ◽  
Vol 39 (4) ◽  
pp. 705-727 ◽  
Author(s):  
Elizabeth M. Orsega-Smith ◽  
Laura L. Payne ◽  
Andrew J. Mowen ◽  
Ching-Hua Ho ◽  
Geoffrey C. Godbey
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Self Efficacy ◽  
Leisure Time ◽  
Leisure Time Physical Activity

The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects (Preprint)

2018 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Mobile Apps ◽  
Mediating Effect ◽  
Activity Levels ◽  
Support Level ◽  
Physical Activity Levels

BACKGROUND Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (<italic>P</italic>&lt;.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; <italic>P</italic>&lt;.001) and self-efficacy (beta=.294; <italic>P</italic>&lt;.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (<italic>P</italic>&lt;.001). CONCLUSIONS This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.

scholarly journals CORRELATES OF PHYSICAL ACTIVITY IN ADOLESCENTS OF PUBLIC SCHOOLS IN CURITIBA, PARANÁ, BRAZIL

2020 ◽  
Vol 38 ◽  
Author(s):  
Eliane Denise Araújo Bacil ◽  
Thiago Silva Piola ◽  
Michael Pereira da Silva ◽  
Rodrigo Bozza ◽  
Edmar Fantineli ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Nutritional Status ◽  
Body Mass ◽  
Physical Activity Level ◽  
Parental Support ◽  
Self Efficacy ◽  
Activity Level ◽  
Biological Maturation ◽  
High Social Support

ABSTRACT Objective: To verify the association of nutritional status, biological maturation, social support and self-efficacy with the physical activity level of 2,347 students of both sexes, aged between 11 and 15 years old, enrolled in state schools in the city of Curitiba, Paraná, Brazil. Methods: Anthropometric measurements of body mass, height and sitting height were collected. The assessment of biological maturation was based on the analysis of the age at peak height and sexual maturity. The physical activity level, social support from parents and friends and self-efficacy were evaluated by self-reported questionnaires. Sex/age-specific body mass index (BMI) cutoff points identified the nutritional status. Gross and adjusted binary logistic regression were used to obtain odds (OR) ratios with 95% confidence intervals (95%CI), adopting p≤0.05 as significant. Results: More than half (52.3%; n=1,227) of students were active, with boys in a higher proportion (64.1%; p≤0.01). The correlates of physical activity were: nutritional status (OR 1.25; 95%CI 1.01-1.56), early somatic maturation (OR 0.71; 95%CI 0.54-0.93), moderate (OR 1.85; 95%CI 1.50-2.30) and high social support from parents (OR 2.70; 95%CI 2.11-3.42) and high social support from friends (OR 1.78; 95%CI 1.42-2.24). Conclusions: Nutritional status, early somatic maturation, social support of parents and friends were correlates of physical activity. Overweight girls with moderate and high parental support and boys with greater social support from parents and friends were more active. Girls with early somatic maturation were less active.

scholarly journals Perceived somatic and affective barriers for self-efficacy and physical activity

2017 ◽  
Vol 24 (13) ◽  
pp. 1850-1862 ◽  
Author(s):  
Lisa M Warner ◽  
Julia K Wolff ◽  
Svenja M Spuling ◽  
Susanne Wurm
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Longitudinal Study ◽  
Self Efficacy ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Community Dwelling ◽  
Activity Levels ◽  
Objective Health ◽  
Physical Activity Levels

According to Bandura’s social-cognitive theory, perceptions of somatic and affective barriers are sources of self-efficacy. This longitudinal study compares general indicators of health barriers with measures of perceived somatic and affective barriers to predict self-efficacy and accelerometer-assessed physical activity in a subsample of n = 153 (selected at random from N = 310) community-dwelling German older adults. Perceived somatic and affective barriers longitudinally predicted physical activity mediated by self-efficacy, whereas general health barriers did not. Perceived health barriers to physical activity might be more important than more objective health barriers for older adults’ physical activity levels.

The Role of Park Proximity and Social Support in Shaping Park Visitation, Physical Activity, and Perceived Health Among Older Adults

2007 ◽  
Vol 4 (2) ◽  
pp. 167-179 ◽  
Author(s):  
Andrew Mowen ◽  
Elizabeth Orsega-Smith ◽  
Laura Payne ◽  
Barbara Ainsworth ◽  
Geoffrey Godbey
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Path Analysis ◽  
Perceived Health ◽  
Daily Physical Activity ◽  
Social Characteristics ◽  
Park Use ◽  
Park Visitation

Background:Health scholars purport that park proximity and social support promotes physical activity and health. However, few studies examine the combined contributions of these constructs in shaping physical activity and health.Purpose:In this study, the contributions of environmental and social characteristics in shaping park use, physical activity, and health are examined.Methods:A survey was distributed to 1515 older adults in Cleveland, Ohio. Results: Path analysis indicated that social support was directly related to health. Perceived park walking proximity was related to physical activity and health through park use frequency. Park proximity was directly related to park use duration.Conclusions:Results suggest that environmental and social characteristics contribute to physical activity and health, but perceptions may also be a prerequisite to park use, daily physical activity, and health.

The Role of Symptoms and Self-Efficacy in Predicting Physical Activity Change Among Older Adults With Arthritis

2014 ◽  
Vol 11 (3) ◽  
pp. 528-535 ◽  
Author(s):  
Nina Sperber ◽  
Katherine S. Hall ◽  
Kelli Allen ◽  
Brenda M. DeVellis ◽  
Megan Lewis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Self Efficacy ◽  
Psychological Symptoms ◽  
Secondary Analysis ◽  
Frequency Change ◽  
Physical Activity Change ◽  
Panel Model ◽  
Support Strategies

Background:Physical and psychological symptoms limit physical activity for people with arthritis. This study examined if self-efficacy mediated a relationship between symptom and physical activity (PA) frequency change.Methods:This was a secondary analysis of older adults with arthritis and joint pain in a trial of a lifestyle PA program (n = 339). Measures were depressive symptoms, pain, fatigue, arthritis self-efficacy, PA self-efficacy, and PA frequency. A panel model was used to analyze relationships at baseline and changes at 20 weeks.Results:The mean age was 68.8 years. At baseline, depression and fatigue were associated with arthritis self-efficacy (β = –.34 and –.24) and, in turn, PA self-efficacy (β = .63); PA self-efficacy was associated with PA (β = .15). Pain and depression changes were associated with arthritis self-efficacy change (β = –.20 and –.21) and, in turn, PA self-efficacy (β = .32) change; PA self-efficacy change was associated with PA change (β = .36).Conclusion:Change in symptom severity affected change in PA frequency. These relationships appeared to operate through self-efficacy. Over time, pain appeared to have a stronger relationship than fatigue with self-efficacy and PA. These findings support strategies to help people with arthritis strengthen their confidence for symptom coping and PA participation.

scholarly journals The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects

10.2196/12606 ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. e12606 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Mobile Apps ◽  
Mediating Effect ◽  
Activity Levels ◽  
Support Level ◽  
Physical Activity Levels

Background Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. Objective This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. Methods A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. Results Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (P<.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; P<.001) and self-efficacy (beta=.294; P<.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (P<.001). Conclusions This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.

scholarly journals Physical activity levels in 10- to 11-year-olds: clustering of psychosocial correlates

2005 ◽  
Vol 8 (7) ◽  
pp. 896-903 ◽  
Author(s):  
Greet Cardon ◽  
Renaat Philippaerts ◽  
Johan Lefevre ◽  
Lynn Matton ◽  
Katrien Wijndaele ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sedentary Behaviour ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Perceived Barriers ◽  
Activity Levels ◽  
Cross Sectional ◽  
Psychosocial Correlates ◽  
Physical Activity Levels

AbstractObjectivesTo evaluate gender differences for levels of physical activity, for sedentary behaviour and for psychosocial correlates in children, to evaluate whether psychosocial correlates cluster in meaningful ways and to examine whether physical activity and sedentary behaviour differ between children of clusters, differentiated by the level of perceived barriers and benefits, attitudes, social support and self-efficacy.DesignCross-sectional study using the Flemish Physical Activity Questionnaire.SettingQuestionnaires to be filled out by the children and one of their parents, contacted through the school system.SubjectsA sample of 1124 10- to 11-year-olds (579 boys and 545 girls).ResultsGirls were found to be less active than boys, with boys scoring better for social support, perceived benefits and self-efficacy compared with girls. The way of clustering differed between boys and girls. Boys were allocated to three clusters: one cluster with positive correlates towards physical activity, labelled ‘positives’; one with negative correlates, labelled ‘negatives’; and one characterised mainly by high perceived barriers, labelled ‘hindered’;. In both genders the highest levels of physical activity were found in the ‘positives’;, the lowest in the ‘negatives’;. In girls a fourth cluster was identified, characterised mainly by low perceived barriers and low social support. Physical activity levels in the girls of this cluster, labelled ‘indifferents’;, were the second highest.ConclusionsMore research is needed to further characterise these clusters. To prevent the physical activity decline during the transition from childhood to adulthood, novel interventions need to be explored that focus on children of the clusters with the most negative correlates.

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