scholarly journals Mediation effects of social support on relationships of perceived environment and self-efficacy with school-based physical activity: A structural equation model tailored for Japanese adolescent girls

2013 ◽  
Vol 03 (01) ◽  
pp. 42-50 ◽  
Author(s):  
Li He ◽  
Kaori Ishii ◽  
Ai Shibata ◽  
Minoru Adachi ◽  
Keiko Nonoue ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Structural Equation Model ◽  
Adolescent Girls ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Model ◽  
Mediation Effects ◽  
Perceived Environment ◽  
School Based

The Effect of Health Literacy, Self-management Behavior, Self-efficacy and Social Support on the Health-related Quality of Life of Kazakh Hypertension Patients in a Low-income Rural Area of China: a structural Equation Model

2020 ◽  
Author(s):  
Qinghua Zhang ◽  
Feifei Huang ◽  
Lei Zhang ◽  
Shasha Li ◽  
Jingping Zhang
Keyword(s):  
Social Support ◽  
Medication Adherence ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Model ◽  
Self Management ◽  
Management Behavior ◽  
Related Quality ◽  
Health Related

Abstract Background Considering the High Blood Pressure-Health Literacy (HBP-HL) has not been included in the study of Health-Related Quality of Life (HRQoL). The synergistic effects and the potential mechanism HBP-HL, self-management behavior, medication adherence, self-efficacy, social support on HRQoL remain unclear. This study aimed to introduce the conception of HBP-HL, and develop a structural equation model to identify the factors influencing of the HRQoL among Kazakh hypertensive patients. Methods A cross-sectional investigation study was conducted to collect data. Patients with hypertension were recruited through random cluster sampling in Kazakh settlements in Urumqi County, Xinjiang. The one-on-one household interviews were conducted by Kazakh investigators. The questionnaires regarding HBP-HL, HRQoL, self-management behavior, medication adherence, self-efficacy, and social support were collected. In addition, the results of physical examination were also included. A structural equation model was used to assess the association between the measured factors and HRQoL. Results 516 Kazakh patients were recruited, and 94.4% of them had a relatively low HBP-HL score. The mean standardized scores of HRQoL, self-management, medication adherence were poor; they were 63.5, 66.2, and 64.4, respectively. But 96.1% and 98.3% of the participants had high levels of self-efficacy and social support. The structural equation model of the HRQoL had a good overall fit (χ2/df = 2.078, AGFI = 0.944, GFI = 0.968, CFI = 0.947, IFI = 0.949, RMSEA = 0.046). The model indicated that the HBP-HL has the highest correlation with HRQoL, following with self-management behavior, social support, and self-efficacy. Conclusions Evidence from this study demonstrates that low HBP-HL is a major influenced factor of HRQoL among Kazakh hypertensive patients. Future programs should consider HBP-HL as the breakthrough point when designing targeting intervention strategies for Kazakh hypertension patients. Firstly, researchers should give a priority to evaluate patient’s HBP-HL before intervention. Next, tailored interventions are implemented for patients, and and ultimately it will contribute to control blood pressure and improve patients’ HRQoL.

scholarly journals Medication Adherence and Associated Factors in Patients With Type 2 Diabetes: A Structural Equation Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Jing Huang ◽  
Shenglan Ding ◽  
Shuyuan Xiong ◽  
Zhiping Liu
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Medication Adherence ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Model ◽  
Mediating Effect ◽  
Factors Associated

Background: The number of patients with type 2 diabetes (T2D) is increasing. Medication treatment is of great importance to stabilize blood glucose. Previous studies have reported that neuroticism, self-efficacy, and social support are factors associated with medication adherence, but few studies have fully investigated the mechanisms between these factors and medication adherence in patients with T2D.Purpose: To explore the prevalence of medication adherence and the factors associated with medication adherence in patients with T2D.Methods: A cross-sectional study consisting of 483 patients with T2D was conducted from July to December 2020. Questionnaires containing sociodemographic and clinical characteristics, the Morisky Medication Adherence Scale-8 (MMAS-8), the neuroticism subscale of the Eysenck Personality Questionnaire-Revised Short Scale (EPQ-RS), the Multidimensional Scale of Perceived Social Support (MSPSS), and the Diabetes Management Self-efficacy Scale (DMSES) were used to collect data. The structural equation model (SEM) was used to test the hypotheses.Results: This study included 305 (63.1%) medication adherence and 178 (36.9%) medication non-adherence patients with T2D. Social support directly influenced medication adherence (β = 0.115, P = 0.029) and indirectly influenced medication adherence through self-efficacy (β = 0.044, P = 0.016). Self-efficacy directly influenced medication adherence (β = 0.139, P = 0.023). Neuroticism indirectly affected medication adherence through social support (β = −0.027, P = 0.023) and self-efficacy (β = −0.019, P = 0.014). Moreover, there was a sequential mediating effect of social support and self-efficacy on the relationship between neuroticism and medication adherence (β = −0.010, P = 0.012). After controlling for age and gender, similar results were obtained. The model fit indices showed a good fit.Conclusions: The medication adherence of patients with T2D needs to be improved. Neuroticism, social support, and self-efficacy had direct or indirect effects on medication adherence in patients with T2D. Healthcare providers should comprehensively develop intervention programs based on neuroticism, social support, and self-efficacy to improve medication adherence in patients with T2D.

scholarly journals Stress, Social Support, and Resilience in Younger Rural Women: A Structural Equation Model

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 812
Author(s):  
Laurie Abbott ◽  
Lucinda J. Graven ◽  
Glenna Schluck ◽  
Krystal J. Williams
Keyword(s):  
Social Support ◽  
Cardiovascular Disease ◽  
Structural Equation Model ◽  
Chronic Stress ◽  
Rural Women ◽  
Self Efficacy ◽  
Structural Equation ◽  
Acute Stress ◽  
Equation Model ◽  
The Relationship

Cardiovascular disease is a global public health problem and leading cause of death. Stress is a modifiable cardiovascular disease risk factor. The objectives of this study were to examine whether stress was a predictor of resilience among rural younger women and to explore whether social support mediated the relationship between acute stress and resilience and between chronic stress and resilience. The study had a cross-sectional, descriptive design. A total of 354 women were randomly recruited in the rural, southeastern United States. Survey instruments were used to collect data about acute stress, chronic stress, social support, and resilience. A structural equation model was fit to test whether social support mediated the relationship between perceived stress and resilience and between chronic stress and resilience. Chronic stress predicted family and belongingness support and all the resilience subscales: adaptability, emotion regulation, optimism, self-efficacy, and social support. Acute stress predicted the self-efficacy subscale of resilience. Family support partially mediated the relationship between chronic stress and self-efficacy. Belongingness support partially mediated the relationships between chronic stress and the social support subscale of resilience.

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.

Effects of Emotional Intelligence and Selfleadership on Students' Coping with Stress

2016 ◽  
Vol 44 (5) ◽  
pp. 853-864 ◽  
Author(s):  
Yefei Wang ◽  
Guangrong Xie ◽  
Xilong Cui
Keyword(s):  
Emotional Intelligence ◽  
Positive Affect ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Active Coping ◽  
Equation Model ◽  
Coping With Stress ◽  
And Coping ◽  
The Relationship

We examined the impacts of emotional intelligence and self-leadership on coping with stress, and assessing the mediating roles that positive affect and self-efficacy play in this process. Participants were 575 students at 2 Chinese universities, who completed measures of coping with stress, self-leadership, emotional intelligence, self-efficacy, and positive affect. The structural equation model analysis results indicated that self-efficacy fully mediated the relationship between emotional intelligence and active coping, as we had predicted. Further, self-leadership had a direct effect on active coping. However, positive affect and self-efficacy did not mediate the relationship between self-leadership and coping with stress. Implications are discussed in terms of theoretical contributions and interventions for coping with stress.

scholarly journals Love Hurts: The Influence of Social Relations on Exercise Self-Efficacy for Older Adults with Osteoarthritis

2008 ◽  
Vol 16 (4) ◽  
pp. 465-483 ◽  
Author(s):  
Kelly A. Cotter ◽  
Aurora M. Sherman
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Relations ◽  
Self Efficacy ◽  
Structural Equation ◽  
Physical Activity Behavior ◽  
Well Being ◽  
Equation Model ◽  
Cross Sectional ◽  
Social Strain

Exercise self-efficacy is a powerful predictor of physical activity behavior, which enhances health and well-being for older adults. Social relations have been proposed as influential precursors for exercise self-efficacy. In a longitudinal study of 160 older adults with osteoarthritis (76.9% women), the authors found that social support (but not social strain) significantly predicted exercise self-efficacy in a structural equation model examining cross-sectional data: χ2(178, N = 160) = 264.57, p < .01; RMSEA = .06; CFI = .92; TLI = .90. When data were examined longitudinally, however, social strain (but not social support) significantly predicted lower exercise self-efficacy 1 year later: χ2(233, N = 160) = 288.64, p < .01; RMSEA = .04; CFI = .96; TLI = .95. Results support the negativity effect, suggesting that social strain might be the more potent aspect of social relations and should be the target of interventions.

scholarly journals A Structural Equation Model of the relationship between physical activity and quality of life

2016 ◽  
Vol 16 (2) ◽  
pp. 147-156 ◽  
Author(s):  
María Carbó-Carreté ◽  
Joan Guàrdia-Olmos ◽  
Climent Giné ◽  
Robert L. Schalock
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
The Relationship
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