scholarly journals Interaction effect of job insecurity and role ambiguity on psychological distress in Japanese employees: a cross-sectional study

2018 ◽  
Vol 91 (4) ◽  
pp. 391-402 ◽  
Author(s):  
Akiomi Inoue ◽  
Norito Kawakami ◽  
Hisashi Eguchi ◽  
Akizumi Tsutsumi
Keyword(s):  
Psychological Distress ◽  
Interaction Effect ◽  
Role Ambiguity ◽  
Job Insecurity ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Japanese Employees

scholarly journals Job crafting, work engagement, and psychological distress among Japanese employees: a cross-sectional study

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Asuka Sakuraya ◽  
Akihito Shimazu ◽  
Hisashi Eguchi ◽  
Kimika Kamiyama ◽  
Yujiro Hara ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Work Engagement ◽  
Cross Sectional Study ◽  
Job Crafting ◽  
Sectional Study ◽  
Cross Sectional ◽  
Japanese Employees

scholarly journals Self-esteem, job insecurity, and psychological distress among Chinese nurses

BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yun Liu ◽  
Chunyan Yang ◽  
Guiyuan Zou
Keyword(s):  
Psychological Distress ◽  
Job Insecurity ◽  
Underlying Mechanism ◽  
Self Esteem ◽  
Tertiary Hospital ◽  
Cross Sectional Study ◽  
Two Dimensions ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negative Impacts

Abstract Background Many studies investigate the variables relating to psychological distress among nurses, but little is known about the underlying mechanism(s) among job insecurity, self-esteem, and psychological distress. Aims This cross-sectional study examines the prevalence of psychological distress among nurses and the relationships among job insecurity, self-esteem, and psychological distress; it also explores how self-esteem might mediate between job insecurity and psychological distress. Methods Questionnaires that assess job insecurity, self-esteem, and psychological distress were collected from 462 nurses in a tertiary hospital in Shandong Province, China. Results Our results show an 83.3 % prevalence rate for psychological distress among nurses. Regression analysis results show that job insecurity positively correlates with psychological distress, explaining 17.5 % of the variance in psychological distress. Mediation analysis results show that self-esteem partially mediates the effect of the two dimensions of job insecurity on psychological distress. Conclusions Psychological distress is prevalent among Chinese nurses. Nursing administrators should take effective measures to improve self-esteem and reduce the negative impacts of job insecurity on nurses, including psychological distress.

Association of psychological distress and religious coping tendencies in parents of children recently diagnosed with cancer: A cross‐sectional study

2021 ◽  
Author(s):  
J. Gregory Dolan ◽  
Douglas L. Hill ◽  
Jennifer A. Faerber ◽  
Laura E. Palmer ◽  
Lamia P. Barakat ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Religious Coping ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

scholarly journals A cross‐sectional study of infection control measures against COVID‐19 and psychological distress among Japanese workers

2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Yoshino Yasuda ◽  
Tomohiro Ishimaru ◽  
Masako Nagata ◽  
Seiichiro Tateishi ◽  
Hisashi Eguchi ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Infection Control ◽  
Cross Sectional Study ◽  
Control Measures ◽  
Sectional Study ◽  
Cross Sectional ◽  
Infection Control Measures ◽  
Japanese Workers

scholarly journals The relation between psychological distress and medication adherence in lung transplant candidates and recipients: A cross‐sectional study

2021 ◽  
Author(s):  
Marion J. Wessels‐Bakker ◽  
Eduard A. van de Graaf ◽  
Johanna M. Kwakkel‐van Erp ◽  
Harry G. Heijerman ◽  
Wiepke Cahn ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Medication Adherence ◽  
Lung Transplant ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Transplant Candidates

P095 PSYCHOLOGICAL DISTRESS IN PATIENTS WITH CROHN'S DISEASE: A CROSS-SECTIONAL STUDY USING THE BRIEF SYMPTOM INVENTORY INSTRUMENT

2018 ◽  
Vol 154 (1) ◽  
pp. S49
Author(s):  
Shmuel Odes ◽  
Vered Slonim-Nevo ◽  
Ruslan Sergienko ◽  
Michael Friger ◽  
Doron Schwartz ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Psychological Distress ◽  
Crohn's Disease ◽  
Cross Sectional Study ◽  
Brief Symptom Inventory ◽  
Sectional Study ◽  
Cross Sectional ◽  
Symptom Inventory
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