Gender Differences of Occupational Stress Associated with Suicidal Ideation among South Korean Employees: The Kangbuk Samsung Health Study

Kim, Sun Young; Shin, Dong Won; Oh, Kap Sung; Kim, Eun Jin; Park, Yang Ri; Shin, Young Chul; Lim, Seung-Taik

doi:10.30773/pi.2017.05.31.1

Cited by 17 publications

(16 citation statements)

References 54 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The prevalence of suicidal ideation showed a wide range in the general population or the medical personnel. However, medical professionals hold a higher rate of 12-month and lifetime suicidal ideation than the general population ( Kim et al., 2018 ; Han et al., 2016 ; Cao et al., 2015 ; Cano-Langreo et al., 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Suicidal and self-harm ideation among Chinese hospital staff during the COVID-19 pandemic: Prevalence and correlates

Wang

Chen

et al. 2021

Psychiatry Research

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Suicidal and self-harm ideation among Chinese hospital staff during the COVID-19 pandemic: Prevalence and correlates

Wang

Chen

et al. 2021

Psychiatry Research

View full text Add to dashboard Cite

“…Furthermore, some studies have reported an association between educational level and suicide risk [ 32 ]. There is also evidence that working-related factors may be related to suicide outcomes [ 33 , 34 ].…”

Section: Discussionmentioning

confidence: 99%

Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population

Ryu¹,

Lee²,

Lee³

et al. 2018

Psychiatry Investig

View full text Add to dashboard Cite

ObjectiveIn this study, we aimed to develop a model predicting individuals with suicide ideation within a general population using a machine learning algorithm. MethodsAmong 35,116 individuals aged over 19 years from the Korea National Health & Nutrition Examination Survey, we selected 11,628 individuals via random down-sampling. This included 5,814 suicide ideators and the same number of non-suicide ideators. We randomly assigned the subjects to a training set (n=10,466) and a test set (n=1,162). In the training set, a random forest model was trained with 15 features selected with recursive feature elimination via 10-fold cross validation. Subsequently, the fitted model was used to predict suicide ideators in the test set and among the total of 35,116 subjects. All analyses were conducted in R. ResultsThe prediction model achieved a good performance [area under receiver operating characteristic curve (AUC)=0.85] in the test set and predicted suicide ideators among the total samples with an accuracy of 0.821, sensitivity of 0.836, and specificity of 0.807. ConclusionThis study shows the possibility that a machine learning approach can enable screening for suicide risk in the general population. Further work is warranted to increase the accuracy of prediction.

show abstract

“…In model 3, general characteristics (age, BMI, smoking, alcohol consumption, regular exercise), occupational characteristics (shift work, job tenure), chronic diseases, and CES-D were adjusted by entering covariates. Sex differences have been found in the relation between job stress and suicidal ideation [ 23 24 25 26 ]. Therefore, in all our regression models, all data were stratified by sex.…”

Section: Methodsmentioning

confidence: 99%

A study of job stress, suicidal ideation and suicide attempts in display manufacturing workers: a cross-sectional study

Ahn

Lee

Jang

et al. 2020

Ann Occup Environ Med

View full text Add to dashboard Cite

Background This study aimed to investigate the association between job stress and suicide ideation/attempts among display manufacturing workers. Methods Data were collected from 836 workers in a display manufacturing company who participated in health screenings from May 22 to June 16, 2017. The data included general characteristics, night work, job tenure, previous physician-diagnosed chronic diseases, suicidal ideation/suicide attempts, and job stress. We investigated suicidal ideation/suicide attempts that covered the past year by using a self-reported questionnaire. Job stress was measured using the 43-item Korean Occupational Stress Scale. Multiple logistic regression analysis was used to investigate the association between job stress and suicidal ideation/suicide attempts. The mediator effect of depression on suicidal ideation/suicide attempts was tested using a series of logistic regression by applying Baron and Kenny's mediation method. Results In the model adjusting for variables (e.g., age, body mass index, smoking, alcohol consumption, regular exercise, shift work, job tenure, chronic disease and depression), physical environment (OR: 3.60, 95% CI: 1.08–12.02), lack of reward (OR: 5.31, 95% CI: 1.54–18.34), and occupation climate (OR: 7.36, 95% CI: 2.28–23.72) were correlated with suicidal ideation/suicide attempts in women. However, all subscales of job stress were not significantly correlated with suicidal ideation/suicide attempts in men. In mediation analysis, job instability and occupational climate were correlated with suicidal ideation/suicide attempts and were mediated by depression in men workers. Conclusions In women workers, the experiences of suicidal ideation/suicide attempts were significantly correlated with the physical environment, lack of reward, and occupational climate that were subscales of job stress. In men workers, depression rather than job stress was correlated with experiences of suicidal ideation/suicide attempts.

show abstract

Gender Differences of Occupational Stress Associated with Suicidal Ideation among South Korean Employees: The Kangbuk Samsung Health Study

Cited by 17 publications

References 54 publications

Suicidal and self-harm ideation among Chinese hospital staff during the COVID-19 pandemic: Prevalence and correlates

Suicidal and self-harm ideation among Chinese hospital staff during the COVID-19 pandemic: Prevalence and correlates

Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population

A study of job stress, suicidal ideation and suicide attempts in display manufacturing workers: a cross-sectional study

Contact Info

Product

Resources

About