scholarly journals Prevention of Children’s Burnout at School through the Tutoring and Guidance Process. A Structural Equation Model Analysis

2020 ◽  
Vol 10 (12) ◽  
pp. 356
Author(s):  
Jorge Expósito-López ◽  
Ramón Chacón-Cuberos ◽  
José Javier Romero-Díaz de la Guardia ◽  
Noelia Parejo-Jiménez ◽  
Sonia Rodríguez-Fernández ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Mean Squared Error ◽  
Well Being ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Fit Indices ◽  
Cross Sectional ◽  
Analytical Technique ◽  
Fit Index

The school burnout of children, defined as physical and mental exhaustion due to a lack of adjustment to the educational context, constitutes a serious problem in contemporary education. Thus, the determination of the elements that influence it and the possible strategies for avoiding it are key in the process of improving children’s well-being. A descriptive and cross-sectional study was conducted with a sample of 569 children aged 8 to 13 at eight primary education schools in Granada (Spain). With the aim of examining the association between the possible exhaustion of children and planned tutoring and guidance activities, a structural equation model (SEM) as the analytical technique was used. The results show good fit indices for the model (comparative fit index (CFI) = 0.955; normalised fit index (NFI) = 0.956; incremental fit index (IFI) = 0.946; root mean squared error approximation (RMSEA) = 0.089), which reflects the need for tutoring and guidance activities that are infused throughout the entire teaching process in order to preserve children’s well-being.

scholarly journals Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenwen Wu ◽  
Jie Diao ◽  
Jinru Yang ◽  
Donghan Sun ◽  
Ying Wang ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Sociodemographic Characteristics ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Total Prevalence ◽  
Confirmatory Factor

Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P < 0.001 ), followed by obesity (β = 0.353, P < 0.001 ) and sociodemographic characteristics (β = 0.315, P < 0.001 ). All paths of the model were significant ( P < 0.001 ). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.

scholarly journals Motivational Climate and Physical Activity: A Multigroup Analysis in Romanian and Spanish University Students

2019 ◽  
Vol 16 (11) ◽  
pp. 2013 ◽  
Author(s):  
Félix Zurita-Ortega ◽  
Georgian Badicu ◽  
Ramón Chacón-Cuberos ◽  
Manuel Castro-Sánchez
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Structural Equation ◽  
Well Being ◽  
Cross Sectional Study ◽  
Motivational Climate ◽  
Equation Model ◽  
Cross Sectional ◽  
Task Oriented ◽  
Family Functionality

Background: Motivational climate in sport is a psychosocial construct which is related with several factors, such as healthy habits and well-being, and is influenced by teachers, trainers, and parents. The aim of this study was to assess the relationships between motivational climate, family functionality, and physical activity within a population of students from Spain and Romania. Methods: A cross-sectional study was conducted on a sample of university students specialization: physical education (n = 605; 20.71 ± 2.42 years old), using the perceived motivational climate in sport questionnaire-2 (PMCSQ-2), the physical activity questionnaire for adolescents (PAQ-A), and the family functionality scale (APGAR) as the main instruments. IBM SPSS Amos was used for data analysis in the structural equation model that was developed. Results: We observed positive relationships between task-oriented climate, family functionality, and the level of physical activity, showing higher regression weights for Spanish university students. Ego-oriented climate was negatively related to family functionality in Spanish university students, while this association was positive in Romanian students. Moreover, the relationship between physical activity and functional family was stronger in respondents from Spain. Conclusions: It can be pointed out that a better family functionality can promote higher levels of physical activity and self-determined motivations in sports shown by task-oriented motivational climates. Thus, it is essential to take into account the influence of family in the promotion of healthy lifestyles.

scholarly journals Organisational Climate, Role Stress, and Public Employees’ Job Satisfaction

2019 ◽  
Vol 16 (10) ◽  
pp. 1792 ◽  
Author(s):  
Vicente Pecino ◽  
Miguel A. Mañas ◽  
Pedro A. Díaz-Fúnez ◽  
José M. Aguilar-Parra ◽  
David Padilla-Góngora ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Job Demands ◽  
Well Being ◽  
Cross Sectional Study ◽  
Role Stress ◽  
Equation Model ◽  
Public Employees ◽  
Cross Sectional ◽  
Organisational Climate

The Job Demands-Resources (JD-R) model is an integrative theoretical framework for monitoring workplaces with the aim to increase job engagement and prevent burnout. This framework is of great interest since the management of job resources and demands can negatively affect employees, especially in organisational contexts characterised by high job demands. This study uses the job demands-resources model to investigate the relationships between organisational climate, role stress, and employee well-being (burnout and job satisfaction) in public organisations. This is a descriptive, cross-sectional study. The research participants are 442 public employees. A structural equation model was developed (organisational climate, job satisfaction, burnout, role stress). These confirm that organisational climate is correlated with role stress (−0.594), job satisfaction (0.746), and burnout (−0.408), while role stress is correlated with burnout (0.953) and job satisfaction (−0.685). Finally, there is a correlation between burnout and job satisfaction that is negative and significant (−0.664). The study confirms that a positive organisational climate could lead to less stressed and burned-out workers and, at the same time, to more satisfied employees with improved well-being.

scholarly journals Role of Restorativeness in Improving the Psychological Well-Being of University Students

2021 ◽  
Vol 12 ◽  
Author(s):  
Nurul Ain Nabilla Mohd Yusli ◽  
Samsilah Roslan ◽  
Zeinab Zaremohzzabieh ◽  
Zeinab Ghiami ◽  
Noorlila Ahmad
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Well Being ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Cross Sectional ◽  
Psychological Well Being ◽  
Postgraduate Students ◽  
Attention Restoration ◽  
Relationship Of

Many university students experience high levels of study-related fatigue, hence, necessitating opportunities for restoration. They could potentially benefit from campus-based physical activities that provide them with effective restoration breaks and allow them to return to their studies cognitively refreshed. Thus, a cross-sectional study was conducted to assess the association between perceived restorativeness among postgraduates and their psychological well-being by using the four constructs of Kaplan's attention restoration theory (ART): fascination, being away, extent, and compatibility. In this study, nature view windows were also used as a moderator. Malaysian postgraduate students [n = 192; 94 females; age in years (M = 30.64, SD = 2.73)] completed the Ryff's scale of psychological wellbeing (PWB) and perceived restorativeness scale for activity (PRAS). This study used the partial least squares-structural equation model (PLS-SEM) to examine these relationships. The results demonstrate that three ART constructs, namely, being away, fascination, and compatibility, are significant predictors of psychological well-being across the sample size. Furthermore, for participants who reside in university dormitories, windows that overlook nature can enhance the relationship of being away, compatibility, and fascination to psychological well-being, compared with those with less natural views. Thus, this study confirmed the moderating effect of nature view windows and provided insight into the ART constructs that facilitate and enhance restorative experiences. By strengthening ART with additional factors, this study has also contributed toward the improvement of the psychological well-being of university students.

scholarly journals A Structural Equation Model of Social Support, Stress and Depression in Pregnant Women During Epidemic Period

2020 ◽  
Author(s):  
Yi Liang ◽  
Shengfeng Dong ◽  
Liling Zhu ◽  
Danqing Zhao ◽  
Liming Shen
Keyword(s):  
Social Support ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Guizhou Province ◽  
Cross Sectional ◽  
Auxiliary Condition ◽  
Condition Model ◽  
Epidemic Period

Objective: To investigate the connections among social support, stress, and depression. Design: Cross-sectional study. Setting: Guizhou Province in China. Population or Sample: An aggregate of 1,056 expectant ladies, had finished our questionnaire during pregnancy from March to April in 2020. Methods: The Edinburgh prenatal sadness scale, an independent pressure scale, and social support scale evaluated the downturn, stress, and social support of pregnant people during the pestilence. An auxiliary condition model was utilized to examine the immediate and aberrant connection between social support and prenatal misery. Main Outcome Measures: Incidence of depression. Results: During the pandemic time, 73.01% of pregnant ladies experienced prenatal misery. The model is suitable (chi-square = 11.96, CFI = 0.97, RMSEA = 0.07, RMR = 0.03). The auxiliary condition model indicated that the immediate pathway of social support to depression was critical (normalized pathway coefficient = - 0.34), and the aberrant pathway of stress to depression via social support was additionally huge (normalized pathway coefficient = 0.50). Stress partially intercedes the connection between social support and depression. Conclusion: Our discoveries posit that social support is related to an expanded danger of depression. Stress is decidedly corresponding to depression and assumes an interceding position between social support and stress. Thusly, directed mediation ought to be completed to lessen the depression of pregnant ladies and improve their psychological wellness status. Keywords: stress, depression, social support, structural equation model

The Structural Equation Models Of Environmental Concern and Knowledge To Green Trust and Green Purchase Intention Towards Green Products (Guideliness)

2018 ◽  
Author(s):  
rizka zulfikar
Keyword(s):  
Structural Equation Model ◽  
Purchase Intention ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Environmental Concern ◽  
Equation Model ◽  
Environmental Knowledge ◽  
Green Product ◽  
Green Trust ◽  
Fit Index

This research aims to find a structural equation model that can explain the relationship and influence of the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product. This study is a survey research using questionnaires as an instrument. Population and sample used in this study is public of South Kalimantan Province and taken as many as 150 respondents using non-purposivesampling method. The analysis technique used are : the instruments test, the construct validity and reliability test, the suitability of the model based on the goodness of fit index, pathways analysis and the Influence test according to the model of SEM that complies with the goodness of fit index to determine the effect of variable perception value and risk to public trust. The study found that: (1) Structural equation model of the correlation between the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product are comply with the criteria and standards of goodness of fit index, (2) (3) (4)

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