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 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.

scholarly journals Is the association between sociodemographic variables and physical activity levels in adolescents mediated by social support and self-efficacy?

2020 ◽  
Vol 96 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Luanna A. Cheng ◽  
Gerfeson Mendonça ◽  
Joana M.S. Lucena ◽  
Cassiano R. Rech ◽  
José C. Farias
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Self Efficacy ◽  
Activity Levels ◽  
Sociodemographic Variables ◽  
Physical Activity Levels

Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature

2021 ◽  
pp. 026921552199369
Author(s):  
Karl R Espernberger ◽  
Natalie A Fini ◽  
Casey L Peiris
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Self Efficacy ◽  
Data Extraction ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Activity Levels ◽  
Post Stroke ◽  
Physical Activity Levels ◽  
Mobile Community

Objectives: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. Data sources: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. Study selection: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. Data extraction: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. Data synthesis: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than ‘exercise’ is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. Conclusions: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

scholarly journals The association between psychological characteristics and physical activity levels in people with knee osteoarthritis: a cross-sectional analysis

2020 ◽  
Author(s):  
Daisuke Uritani ◽  
Jessica Kasza ◽  
Penny K. Campbell ◽  
Ben Metcalf ◽  
Thorlene Egerton
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Pain Catastrophizing ◽  
Psychological Characteristics ◽  
Activity Levels ◽  
Cross Sectional ◽  
Fear Of Movement ◽  
Physical Activity Levels ◽  
Steps Per Day ◽  
The Relationship

Abstract Background:The aim of this study was to examine the relationship between psychological characteristics and physical activity levels, measured as the average number of steps per day, in people with knee osteoarthritis (OA).Methods: This study analysed baseline data from a randomized controlled trial (Australian New Zealand Clinical Trials Registry reference: ACTRN12612000308897). A total of 167 adults aged over 50 years, with knee pain rated as four or more on an 11-point numeric rating scale, and knee OA diagnosed using American College of Rheumatology clinical criteria, were recruited from the community (62 men and 105 women; mean age, 62.2 ± 7.5 years). The average number of steps per day over seven consecutive days was measured using an accelerometer-based device. Psychological characteristics evaluated were: depressive symptoms (Depression Anxiety Stress Scale), self-efficacy (Arthritis Self-Efficacy Scale for pain and other symptoms), fear of movement (Brief Fear of Movement Scale for Osteoarthritis), and pain catastrophizing (Pain Catastrophizing Scale). The association between the average number of steps per day and psychological characteristics was analyzed using a multiple linear regression analysis, with the average number of steps per day as the dependent variable, adjusting for each psychological characteristic separately, and age, sex, body mass index, and pain entered as covariates.Results: There was evidence that the amount of physical activity was associated with fear of movement (coefficient [B]: -117, 95% confidence interval [95%CI]: -227 to -8) and with pain catastrophizing (B: -44, 95%CI: -86 to -1). The association with self-efficacy was similar (B:117, 95%CI: -12 to 246). However, the direction of the association with depressive symptoms was less clear (B: -59, 95%CI: -138 to 19).Conclusions: The results of this study revealed that the relationship was such that lower fear of movement and lower pain catastrophizing may be associated with more steps per day. It may be hypothesized that fear of moving and pain catastrophizing lead to activity avoidance and that strategies to improve these disease-related psychological aspects may be useful in enhancing physical activity participation, although this hypothesis is highly speculative and needs further testing given the cross-sectional design of this study.

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