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 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

scholarly journals Sources of psychological distress among primary care physicians during the COVID-19 pandemic’s first wave in Spain: a cross-sectional study

2021 ◽  
Vol 22 ◽  
Author(s):  
Ana Cebrián-Cuenca ◽  
José Joaquín Mira ◽  
Elena Caride-Miana ◽  
Antonio Fernández-Jiménez ◽  
Domingo Orozco-Beltrán
Keyword(s):  
Primary Care ◽  
Psychological Distress ◽  
Primary Care Physicians ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Multivariate Linear Regression Analysis ◽  
Sectional Study ◽  
Rt Pcr ◽  
Cross Sectional ◽  
Protective Measures

Abstract Background: The COVID-19 pandemic is affecting people worldwide. In Spain, the first wave was especially severe. Objectives: This study aimed to identify sources and levels of distress among Spanish primary care physicians (PCPs) during the first wave of the pandemic (April 2020). Methods: A cross-sectional study was conducted using a survey that included sociodemographic data, a description of working conditions related to distress [such as gaps in training in protective measures, cleaning, and hygiene procedures in work setting, unavailability of personal protective equipments (PPEs) and COVID-19 RT-PCR test, and lack of staff due to be infected] and a validated scale, the ‘Self-applied Acute Stress Scale’ (EASE). The survey was answered by a non-probability sampling of PCPs working in family healthcare centres from different regions of Spain. Analysis of variance and multivariate linear regression analysis were performed. Results: In all, out of 518 PCP participants, 123 (23.7%) obtained high psychological distress scores. Only half of them had received information about the appropriate use of PPE. PCP characteristics associated with higher levels of distress include female gender [1.69; 95% confidence interval (CI) 0.54, 2.84]; lack of training in protective measures (1.96; 95% CI 0.94, 2.99); unavailable COVID-19 RT-PCR for health care workers after quarantine or COVID-19 treatment (−0.77 (−1.52, −0.02). Reinforcing disinfection of the work environment (P < 0.05), availability of PPEs (P < 0.05), and no healthcare professional was infected (P < 0.05) were related to the lowest distress score. Conclusions: A better understanding of the sources of distress among PCPs could prevent its effect on future outbreaks.

scholarly journals Psychological Distress and Health-Related Quality of Life Among Women With Breast Cancer: A Descriptive Cross-Sectional Study

2021 ◽  
Author(s):  
Nitikorn Phoosuwan ◽  
Pranee C. Lundberg
Keyword(s):  
Breast Cancer ◽  
Psychological Distress ◽  
Breast Reconstruction ◽  
Cross Sectional Study ◽  
Future Perspective ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related

Abstract Background: Globally, breast cancer is commonly found among women, and Sweden has the largest number of new cases diagnosed. Treatment leads to increased survival of patients, but they are at risk to experience psychological distress, including anxiety and depressive symptoms, and decreased health-related quality of life (HRQoL). This study investigated relationship between psychological distress and HRQoL, and related factors among women with breast cancer in Sweden.Methods: This descriptive cross-sectional study was conducted in Sweden. A total of 481 women with breast cancer from a list of a regional cancer centre answered a questionnaire about sociodemographic factors, social support, psychological distress and HRQoL. Data were subjected to Pearson’s correlation and linear regression analyzes. Results: Psychological distress was related to HRQoL in terms of body image, future perspective, side effects of systemic therapy, breast symptoms, arm symptoms, and hair loss. Lower age was likely to increase symptoms of anxiety, and undergone breast reconstruction was likely to increase symptoms of depression. Breast reconstruction and chemotherapy worsened body image, low support from partner decreased sexual functioning and enjoyment, and low support from physicians and nurses worsened future perspective, side effects of systemic therapy, breast symptoms and indignation about hair loss.Conclusions: Psychological distress were correlated with the HRQoL. Increased support from physicians, nurses, and partner may increase the HRQoL among women with breast cancer. Treatments of women with breast cancer, such as breast reconstruction and chemotherapy were factors that decreased the psychological distress and increased the HRQoL.

scholarly journals Mental health of undergraduate distance learners: a cross-sectional study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gayani P. Gamage ◽  
H.M.Chulani J. Herath
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Distance Learning ◽  
Physical Health ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Distance Learners ◽  
Sectional Study ◽  
Cross Sectional ◽  
Content Type

PurposeMental health is as important as physical health and new university entrants report high prevalence of depression. In open and distance learning (ODL), students must manage both work and studies. Those who are unable to effectively balance these aspects may experience negative outcomes such as dropping out, distress and physical health problems. Therefore, the study aims to investigate psychological distress amongst distance-learning undergraduate students to gather evidence for recommending necessary interventions.Design/methodology/approachA cross-sectional study was conducted using depression, anxiety, stress scale (DASS-21). Participants were undergraduate students from the Open University of Sri Lanka (OUSL). The students' socio-demographic details, history of physical and mental illnesses were also recorded.FindingsAccording to scoring, 51% of the sample was categorised as “psychologically distressed” relating to the anxiety levels they reported whilst depression (35%) and stress remained (20%) at low levels. The three-factor structure of DASS-21 was also confirmed with reliability scores of 0.8 obtained for all three sub-scales.Research limitations/implicationsThe limitations were low-response rate (less than 50%) and inability to provide causal explanations for psychological distress. Further research could address these.Practical implicationsThe current research identified anxiety as a psychologically distressing factor for ODL students with the use of a reliable screening tool. Therefore, exploring reasons and interventions to help reduce anxiety could be developed.Social implicationsMajority of distance learners are contributing to a country's economy whilst learning to improve their current socio-economic status. Therefore, addressing these negative impacts is important.Originality/valueThe study explored ODL students' psychological distress and highlighted the need to identify causes and development of support systems to enhance mental well-being.

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