Relationship between Social Support, Self-Efficacy, Task Persistence and Physical Activity in Physical Education Classes

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><.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><.001) and self-efficacy (beta=.294; <italic>P</italic><.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><.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.

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Effect of Physical Education Teacher’s Teaching Behaviors and Feedback on Self-efficacy and Task Persistence for Middle School Students

Korean Association For Learner-Centered Curriculum And Instruction ◽

10.22251/jlcci.2019.19.4.513 ◽

2019 ◽

Vol 19 (4) ◽

pp. 513-530

Author(s):

In-Soo Nam

Keyword(s):

Middle School ◽

Physical Education ◽

Middle School Students ◽

Self Efficacy ◽

Task Persistence ◽

Teaching Behaviors ◽

School Students ◽

And Task

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A Population-Based Survey to Determine Association of Perceived Social Support and Self-Efficacy With Self-Care Among Elderly With Diabetes Mellitus (Kerman City, Iran)

The International Journal of Aging and Human Development ◽

10.1177/0091415016689474 ◽

2017 ◽

Vol 85 (4) ◽

pp. 504-517 ◽

Cited By ~ 3

Author(s):

Vahidreza Borhaninejad ◽

Mohsen Shati ◽

Devender Bhalla ◽

Abedin Iranpour ◽

Reza Fadayevatan

Keyword(s):

Physical Activity ◽

Social Support ◽

Self Efficacy ◽

Pearson Correlation ◽

Self Care ◽

Population Based ◽

Foot Care ◽

Gender And Age ◽

Kerman City ◽

Population Based Survey

This survey examined association between social support and self-efficacy with self-care in elderly with diabetes. A total of 374 subjects were identified in Kerman city, Iran who responded to questionnaires on self-care, social support, and self-efficacy. Data were analyzed by using SPSS. Along with customary descriptive statistics, we also determined group difference for self-care, and Pearson correlation, and prediction value of various variables by using hierarchical multiple regression. And 67.37% of subjects were classified as poor adherence to self-care; 55.9% patients reportedly had good foot care habits, while 68.4% patients were not taking adequate physical activity. There was a significant correlation between self-care with social support and self-efficacy. Independent variables accounted for 44.3% of the variance in self-care. Diabetes care programs should aim to implement (a) weekly free-of-cost mass physical activity programs, (b) mass education adapted for gender- and age-based needs, and (c) informal social cohesion and companionship among general public.

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Organized Physical Activity Program Participation, Physical Activity, and Related Psychosocial Factors Among Urban Adolescents

The Journal of School Nursing ◽

10.1177/10598405211038962 ◽

2021 ◽

pp. 105984052110389

Author(s):

Lorraine B. Robbins ◽

Jiying Ling ◽

Mei-Wei Chang

Keyword(s):

Physical Activity ◽

Social Support ◽

Psychosocial Factors ◽

Self Efficacy ◽

Screen Time ◽

Urban Adolescents ◽

Physical Activity Program ◽

Time Behavior ◽

Program Participation ◽

Activity Program

The study purpose was to examine whether adolescents who participated in organized physical activity (PA) programs differed from nonparticipants in motivation, social support, and self-efficacy related to PA; PA (min/hr); and sedentary screen time behavior. Thirty-nine 5th–7th grade adolescents participated in organized PA programs; 41 did not. Approximately 56.3% were Black, and 52.5% had annual family incomes <$20,000. Compared to nonparticipants, those who participated reported significantly higher social support ( M = 2.32 vs. 3.13, p < .001) and fewer hours watching television or movies on a usual weekend day ( M = 2.49 vs. 1.59, p = .016); and had higher accelerometer-measured vigorous PA ( M = 0.58 vs. 1.04, p = .009) and moderate-to-vigorous PA ( M = 2.48 vs. 3.45, p = .035). Involving adolescents in organized PA programs may be important for improving their moderate-to-vigorous PA, vigorous PA, and related psychosocial factors, as well as reducing sedentary screen time behavior.

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Motivational Determinants of Physical Activity in Disadvantaged Populations with (Pre)Diabetes: A Cross-Cultural Comparison

10.21203/rs.3.rs-613852/v1 ◽

2021 ◽

Author(s):

Jeroen De Man ◽

Francis Xavier Kasujja ◽

Peter Delobelle ◽

Kristi Sidney Annerstedt ◽

Helle Mölsted Alvesson ◽

...

Keyword(s):

Physical Activity ◽

Social Support ◽

South Africa ◽

Self Efficacy ◽

Process Model ◽

Perceived Social Support ◽

Cross Cultural ◽

Equation Modeling ◽

Motivational Process ◽

Identified Regulation

Abstract BackgroundUnderstanding motivational determinants of physical activity (PA) is essential to guide the implementation of PA at individual and population level. Knowledge about the cross-cultural generalizability of these determinants is lacking and they have mostly been studied as separate factors. This study compares a motivational process model across samples from diverse populations with, or at risk of diabetes. MethodsMeasurement invariance of barrier identified regulation, barrier self-efficacy and social support was assessed in a rural Ugandan sample (n=712) and disadvantaged samples with high proportions of immigrants in urban South Africa (n=566) and Sweden (n=147). These motivational determinants were then compared through multigroup structural equation modeling.ResultsThe studied motivational constructs showed scalar invariance. Latent mean levels of perceived social support and barrier self-efficacy were lower in South Africa and Sweden. Structural models (for different PA outcomes) were not consistent across settings except for the association between perceived social support and identified regulation. Identified regulation was only associated with vigorous PA in Uganda and with moderate PA in South Africa. The association between social support and PA outcomes ranged from weak to not significant and the association between self-efficacy and PA was not significant. Self-reported PA was highest in Uganda and lowest in Sweden. Self-reported vigorous PA was significantly related to lower hemoglobin A1c levels, while moderate PA was not.ConclusionsFindings suggest that: 1) it is feasible to compare a motivational process model across diverse settings; 2) there is lower perceived social support and self-efficacy in the urban, migrant samples; 3) identified regulation is a more promising determinant of PA than self-efficacy or social support in these populations; 4) associations between motivational determinants and PA depend on the perceived type and/or intensity of PA; 5) perceived relatedness functions as a basic psychological need across diverse settings; and 6) people’s perception of the PA they perform depends on their perceived level of intensity of PA which would have major implications for health promotion.

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