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.

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.

scholarly journals Smartphone Addiction and Checking Behaviors Predict Aggression: A Structural Equation Modeling Approach

2021 ◽  
Vol 18 (24) ◽  
pp. 13020
Author(s):  
Shuna Shiann Khoo ◽  
Hwajin Yang
Keyword(s):  
Structural Equation Modeling ◽  
Screen Time ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Smartphone Addiction ◽  
Cross Sectional ◽  
Targeted Interventions ◽  
Aggression Questionnaire ◽  
Smartphone Use

Despite the potential risks of excessive smartphone use for maladaptive outcomes, the link between smartphone use and aggression remains less understood. Furthermore, prior findings are inconclusive due to a narrow focus on limited aspects of smartphone use (e.g., screen time) and reliance on self-reported assessments of smartphone use. Therefore, using objective measures of smartphone use, we sought to examine the associations between several key indices of smartphone use—screen time, checking behaviors, and addictive tendency—and multifaceted aggression (i.e., confrontation, anger, and hostility). In a cross-sectional study, we administered a series of questionnaires assessing aggressive tendencies (i.e., The Aggression Questionnaire) and various aspects of smartphone use (N = 253, Mage = 21.8 years, female = 73.2%). Using structural equation modeling, we found that smartphone checking and addictive smartphone use predicted only hostility. In contrast, both objective and subjective measures of screen time did not predict any facets of aggression. These results highlight differing impacts of various indices of smartphone use on aggression and imply that excessive checking and addictive smartphone use are problematic smartphone-use behaviors that require more targeted interventions with respect to hostility.

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 Stress and Its Impact on Academic and Social Life of Undergraduate University Students in Ghana: A Structural Equation Modeling Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 37-44
Author(s):  
Koawo Edjah ◽  
Francis Ankomah ◽  
Ebenezer Domey ◽  
John Ekow Laryea
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Social Life ◽  
Structural Equation ◽  
Positive Impact ◽  
Survey Design ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Satisfaction Scale ◽  
Cross Sectional

AbstractStress is concomitant with students’ life and can have a significant impact on their lives, and even how they go about their academic work. Globally, in every five visits by patients to the doctor, three are stress-related problems. This study examined stress and its impact on the academic and social life among students of a university in Ghana. The descriptive cross-sectional survey design was employed. Using the stratified and simple random (random numbers) sampling methods, 500 regular undergraduate students were engaged in the study. A questionnaire made up of Perceived Stress Scale and Students’ Life Satisfaction Scale was used to gather data for the study. Frequencies, percentages, means and standard deviation, and Structural Equation Modeling (SEM), with AMOS were used for the analyses. It was found that majority of the students were moderately stressed. Paramount among the stressors were academic stressors, followed by institutional stressors, and external stressors. Stress had a significant positive impact on the academic and social life of students. It was concluded that undergraduate students, in one way or the other, go through some kind of stress during the course of their study. It was recommended that the university, through its Students’ Affairs, and Counselling Sections, continue to empower students on how to manage and deal with stress in order to enhance their academic life.

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 Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Huanlin Wang ◽  
LanYu Liang ◽  
ChunLin Du ◽  
YongKang Wu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Western China ◽  
Medical Services ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Medical Resources ◽  
Hypothesis Model ◽  
Effort Expectancy ◽  
Willingness To Use

BACKGROUND Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection. OBJECTIVE In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed. METHODS A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors. RESULTS Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (<i>P</i>=.048) and education level (<i>P</i>=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals. CONCLUSIONS The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.

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