Mediating effect of coping styles on the association between psychological capital and psychological distress among Chinese nurses: a cross-sectional study

2017 ◽  
Vol 24 (2-3) ◽  
pp. 114-122 ◽  
Author(s):  
H. Zhou ◽  
J. Peng ◽  
D. Wang ◽  
L. Kou ◽  
F. Chen ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Psychological Capital ◽  
Coping Styles ◽  
Cross Sectional Study ◽  
Mediating Effect ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals HBV AND HCV PATIENTS

2015 ◽  
Vol 22 (09) ◽  
pp. 1150-1158
Author(s):  
Atiq ur Rehman ◽  
Syeda Farhana Kazmi
Keyword(s):  
Psychological Distress ◽  
Coping Strategies ◽  
Psychiatric Comorbidity ◽  
Coping Styles ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Female Age ◽  
Approach Coping ◽  
The Relationship

Objectives: The main purpose of this research was to compare the level ofpsychological distress between HBV and HCV patients and to determine the effect of genderand age on psychological distress. Determine the relationship between coping strategies andpsychological distress. Method: For the present study 100 HBV patients (50 male and 50 female)and 100 HCV patients (50 male and 50 female) were selected. The sample was selected fromLiver Centre, district headquarter hospital Faisalabad. This was a cross sectional study. MHI-38was used to measure the psychological distress and CRI was used to measure the copyingstyles among HBV and HCV patients. Result: HCV patients have higher levels of psychologicaldistress t (198) = 6.54, p< .05 compared to HBV patients. Female hepatitis patients weresuffering from high levels of psychological distress t (198) = 3.90, p < .05 as compared to malehepatitis patients, with male, age is positively correlated with psychological distress, r = .32,p < .01 but with female age is negatively correlated with psychological distress r = -.49, p <.01. Approach coping is negatively correlated with psychological distress in male and femalehepatitis patients, respectively, r = -.45, p < .01 and, r = -.29, p <.01. Conclusion: HCV andfemale patients have higher levels of psychological distress comparatively of HBV and malepatients. Age is correlated with psychological distress. The approach coping styles play animportant role in controlling the psychiatric comorbidity in HBV and HCV patients.

scholarly journals Perceived Stress, Psychological Capital, and Psychological Distress Among Chinese Nursing Students: A Cross-Sectional Study

2021 ◽  
Author(s):  
Feifei Sun ◽  
Cuiping Xu ◽  
Jiaomei Xue ◽  
Jing Su ◽  
Qinghua Lu ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Nursing Students ◽  
Perceived Stress ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mediating Role ◽  
Significant Difference ◽  
The Relationship

Abstract Background: Previous studies have investigated variables related to psychological distress among nurses; however, the relationship among psychological capital, perceived stress, and psychological stress is poorly understood. This cross-sectional study examined the relationship between psychological capital, psychological distress, and perceived stress, and examined the mediating role of psychological capital in the relationship between perceived stress and psychological distress.Methods: Responses to questionnaires to assess psychological capital, psychological distress, and perceived stress were collected from 369 nursing students in a tertiary hospital in Shandong Province, China.Results: There was a statistically significant difference in perceived stress among students, based on whether or not they liked the nursing profession (P<0.01). Relative to college students, undergraduates experienced significantly higher levels of perceived stress (P<0.01). Nevertheless, there were no significant differences in perceived stress between the variables of gender, place of residence, and being an only child. Psychological distress was positively correlated (r=0.632, p<0.001), whereas psychological capital was negatively correlated, with perceived stress (r=-0.662, p<0.001). Psychological capital played a potential mediating role in the relationship between psychological distress and perceived stress.Conclusions: This study revealed the importance of psychological capital in reducing perceived stress to decrease psychological distress among Chinese nursing students. Managers should take meaningful steps to improve nursing students’ psychological capital and thereby reduce the negative impact of psychological distress.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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 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
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