scholarly journals The influence of locus of control on self-rated health in context of chronic disease: a structural equation modeling approach in a cross sectional study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Erik Berglund ◽  
Per Lytsy ◽  
Ragnar Westerling
Keyword(s):  
Structural Equation Modeling ◽  
Chronic Disease ◽  
Locus Of Control ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Modeling Approach

scholarly journals Relationship of Parental and Adolescents’ Screen Time to Self-Rated Health: A Structural Equation Modeling

2018 ◽  
Vol 45 (5) ◽  
pp. 764-771 ◽  
Author(s):  
André O. Werneck ◽  
Danilo R. Silva ◽  
Ricardo R. Agostinete ◽  
Rômulo A. Fernandes ◽  
Enio R. V. Ronque ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Psychosocial Factors ◽  
Social Relationships ◽  
Screen Time ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Self Report ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Self Rated Health

Aim. To investigate the association of parental and adolescents’ screen time with self-rated health and to examine the mediating effects of psychosocial factors (social relationships and distress) on this association. Method. A cross-sectional study was conducted among 984 Brazilian adolescents (10- to 17-year-olds). Self-rated health, screen time (adolescents and parental), and perception of social relationships and distress were evaluated through self-report questionnaires. Structural equation modeling was adopted to investigate the pathways of the relationship between adolescents’ screen time and self-rated health. Results. Adolescents’ screen time was directly and negatively related to self-rated health only in boys ( r = −0.158, p = .015). In girls, screen time was related to self-rated health through distress ( r = −0.188, p = .007) and social relationships ( r = 0.176, p = .008). The models fit was adequate (χ2/ df ≤ 3.0, root mean square error of approximation <0.08, comparative fit index >0.90, and Tucker–Lewis Index >0.90). Conclusions. Higher screen time was associated with poor self-rated health in boys, while in girls, psychosocial factors mediated the adverse relationships between screen time and self-rated health.

scholarly journals Radiation effects on atherosclerosis in atomic bomb survivors: a cross‐sectional study using structural equation modeling

2021 ◽  
Vol 36 (4) ◽  
pp. 401-414
Author(s):  
Tomoki Nakamizo ◽  
John Cologne ◽  
Kismet Cordova ◽  
Michiko Yamada ◽  
Tetsuya Takahashi ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Radiation Exposure ◽  
Structural Equation ◽  
Atomic Bomb ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Study Cohort ◽  
Sectional Study ◽  
Cross Sectional ◽  
Atomic Bomb Survivors

AbstractPast reports indicated that total-body irradiation at low to moderate doses could be responsible for cardiovascular disease risks, but the mechanism remains unclear. The purpose of this study was to investigate the association between radiation exposure and atherosclerosis, an underlying pathology of cardiovascular diseases, in the Japanese atomic bomb survivors. We performed a cross-sectional study measuring 14 clinical-physiological atherosclerosis indicators during clinical exams from 2010 to 2014 in 3274 participants of the Adult Health Study cohort. Multivariable analyses were performed by using a structural equation model with latent factors representing underlying atherosclerotic pathologies: (1) arterial stiffness, (2) calcification, and (3) plaque　as measured with indicators chosen a priori on the basis of clinical-physiological knowledge. Radiation was linearly associated with calcification (standardized coefficient per Gy 0.15, 95 % confidence interval: CI [0.070, 0.23]) and plaque (0.11, 95 % CI [0.029, 0.20]), small associations that were comparable to about 2 years of aging per Gy of radiation exposure, but not with arterial stiffness (0.036, 95 % CI [− 0.025, 0.095]). The model fitted better and had narrower confidence intervals than separate ordinary regression models explaining individual indicators independently. The associations were less evident when the dose range was restricted to a maximum of 2 or 1 Gy. By combining individual clinical-physiological indicators that are correlated because of common, underlying atherosclerotic pathologies, we found a small, but significant association of radiation with atherosclerosis.

scholarly journals Motivasi Kerja, Sertifikasi, Kesejahteraan dan Kinerja Guru

2014 ◽  
Vol 3 (02) ◽  
Author(s):  
Mohammad Zulkifli ◽  
Arif Darmawan ◽  
Edy Sutrisno
Keyword(s):  
Structural Equation ◽  
Teacher Performance ◽  
Cross Sectional Study ◽  
Model Fit ◽  
Equation Modeling ◽  
Test Results ◽  
Sectional Study ◽  
Cross Sectional ◽  
Research Findings ◽  
And Performance

Abstract. This cross-sectional study empirically examines the motivation and certification as antecedent welfare and performance of teachers and welfare as antecedent performance. Slovin formulation is used to take a sample of 244 teachers. Samples were taken from a population of 624 teachers who are already certified. Testing the model fit using Structural Equation Modeling. The test results demonstrate the value of χ2 = 449.163; p = 0.542; RMSEA = 0.000; GFI = 0.901; AGFI = 0.884; CMN / DF = 0.991; TLI = 1.001, and; CFI = 1.000. Results Analysis of Moment Structures / AMOS all support the model fit hypothesis. The findings of the study stated motivation and certification plays an important role in efforts to enhance the welfare and performance of teachers. Teacher performance can be predicted through the welfare of teachers. The research findings will be discussed in the context of motivational teacher certification program.Keywords: motivation, certification, welfare, performance

scholarly journals The influence of belief conflict on stress and burnout syndrome in healthcare workers: using structural equation modeling in a cross-sectional study

2015 ◽  
Author(s):  
Makoto Kyougoku ◽  
Mutsumi Teraoka
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Physical Therapists ◽  
Cross Sectional Study ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Response Scale ◽  
Cross Sectional ◽  
Causal Sequence

Purpose: Belief conflict has been hypothesized to contribute to increased stress and burnout syndrome among healthcare workers. However, tests on this hypothesis have been limited. The aim of this study was to evaluate the effect of belief conflict on stress and burnout syndrome in healthcare workers using structural equation modeling (SEM). Method: A sample of 488 participants (4.3% physicians, 32.4% nurses, 16.2% occupational therapists, 10.7% physical therapists, 36.4% other) responded to a questionnaire based on the Assessment of Belief Conflict in Relationship-14 (ABCR-14), Stress Response Scale-18 (SRS-18), and Japanese Burnout Scale (JBS). These data were examined using descriptive statistics and a causal sequence model. Results : The hypothesized model exhibited an excellent model fit (RMSEA = 0.041, CFI = 0.937, TLI = 0.933). The results suggested that belief conflict has positive causal effects on stress and burnout syndrome: standardized total effect = 0.676 (S.E. = 0.041, Est . /S.E. = 16.334, p-value = 0.000, 95% CI = 0.411; 0.646), standardized total indirect effect = 0.221 (S.E. = 0.031, Est . /S.E. = 7.066, p-value = 0.000, 95% CI = 0.115; 0.231), standardized direct effect = 0.455 (S.E. = 0.048, Est . /S.E. = 9.497, p-value = 0.000, 95% CI = 0.257; 0.455). Conclusion: This study indicated that healthcare workers suffer stress and burnout related to belief conflict. Therefore, assessment of belief conflict in healthcare workers, followed by appropriate intervention where indicated, would be beneficial in preventing stress and burnout.

The relationship between work, mental health, physical health, and fatigue in patients with rheumatoid arthritis: A cross-sectional study

2017 ◽  
Vol 25 (5) ◽  
pp. 665-673 ◽  
Author(s):  
Dorota Żołnierczyk-Zreda ◽  
Anna Jędryka-Góral ◽  
Joanna Bugajska ◽  
Sylwia Bedyńska ◽  
Marek Brzosko ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Mental Health ◽  
Physical Health ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Occupational Activity ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Relationship

To evaluate the relationship between work, mental health, physical health, and fatigue in patients with rheumatoid arthritis, the data of 282 participants were drawn from baseline. The results of structural equation modeling showed that among rheumatoid arthritis patients, those who were engaged in occupational activity had lower levels of fatigue compared to those who did not work and that this relationship was mediated by better mental health, not by physical health.

scholarly journals Personality Disorders and Unhealthy Lifestyle: A Cross-Sectional Study

2021 ◽  
Author(s):  
Mohammad Reza Mohammadi ◽  
Parandis Pourdehghan ◽  
Seyed-Ali Mostafavi ◽  
Zahra Hooshyari ◽  
Seyyed Salman Alavi ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
Millon Clinical Multiaxial Inventory ◽  
Lifestyle Questionnaire

Personality disorders (PDs) would be associated with an unhealthy lifestyle. To date, however, there have not been sufficient studies on the relationship between them. This study aimed to investigate the association between personality disorders and an unhealthy lifestyle by using an analytical cross-sectional study. We selected 1538 married women based on the multistage cluster sampling method. We used the Millon Clinical Multiaxial Inventory (MCMI) and Lifestyle Questionnaire (LSQ). Apart from descriptive statistics, a one-sample t-test, multivariate analysis, and structural equation modeling were used. Analysis of the data suggested that negativistic (β= -0.321), schizotypal (β= -0.285), schizoid (β= -0.159), borderline (β= -0.136), melancholic (β= -0.079) PDs had a significant association with an unhealthy lifestyle, respectively. Cluster A personality disorders were prone to an unhealthy lifestyle more than the other two clusters.

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