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.

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.

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 The Relationships Among Structural Social Support, Functional Social Support, and Loneliness in Older Adults: Analysis of Regional Differences Based on a Multigroup Structural Equation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Haifeng Li ◽  
Cong Wang
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Structural Equation Model ◽  
Rural Areas ◽  
Regional Differences ◽  
Structural Equation ◽  
Equation Model ◽  
Support Network ◽  
Functional Social Support ◽  
The Relationship

Objective: This study investigated the relationship between structural social support and loneliness and explored whether functional social support had an intermediate role therein. It also employed a multigroup structural equation model to compare mediation models among older adults living in cities, towns, and rural areas.Methods: Using a self-made demographics questionnaire, the structural-functional social support scale, and the 3-item UCLA loneliness scale, this study collected information from 1,325 older adults identified via convenient sampling.Results: The results showed that as: (1) compared with older adults living in towns, older urban, and rural adults had higher structural social support and experienced less loneliness, while older adults’ functional social support showed no difference among the three regions (2) An analysis of the models of regional differences indicated that functional social support served as a full mediator in the relationship between structural social support and loneliness in urban older adults, and a partial mediator for older adults living in towns and rural areas.Conclusion: The relationship between structural social support and loneliness is mediated by functional social support, and this mediation model varies between older adults in cities and towns/rural areas. This study helps us understand possible mechanisms through which structural social support impacts loneliness. It suggests that nursing strategies for older adults should be adjusted according to the region and direct greater focus on the function (or quality) of the social support network and older adults living in towns.

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.

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