ABSTRACT
PURPOSE: This study aimed to identify factors influencing depressive symptoms in public and private sector employees.METHODS: Survey data on 23,602 workers who had worked in the public or private sector were obtained from the 2014 Korean Working Condition Survey (KWCS). Symptoms of depression were measured using the WHO-5 Well-being Index. Data were analyzed using a χ² test, t-test, and multivariate stepwise logistic regression to determine the factors affecting the symptoms of depression.RESULTS: First, the prevalence of depressive symptoms was 41.1 % in public sector employees and 43.4 % in private sector employees. Second, the factors commonly affecting depressive symptoms in public and private sector employees were residence area, cognitive demands, development opportunities, social support from colleagues, social support from supervisors, social community at work, job rewards, and work-family conflict. In addition, age, company size, atypical work, ergonomic risks, quantitative demands, emotional demands, influence, and job insecurity were found to be predictors of depressive symptoms unique to private sector employees.CONCLUSION: Mental health programs including the employee assistance program (EAP) should be developed and implemented after considering the risk factors affecting depressive symptoms.
Subject(s)
Depression , Logistic Models , Mental Health , Prevalence , Private Sector , Public Sector , Reward , Risk FactorsABSTRACT
PURPOSE@#This study aimed to identify factors influencing depressive symptoms in public and private sector employees.@*METHODS@#Survey data on 23,602 workers who had worked in the public or private sector were obtained from the 2014 Korean Working Condition Survey (KWCS). Symptoms of depression were measured using the WHO-5 Well-being Index. Data were analyzed using a χ² test, t-test, and multivariate stepwise logistic regression to determine the factors affecting the symptoms of depression.@*RESULTS@#First, the prevalence of depressive symptoms was 41.1 % in public sector employees and 43.4 % in private sector employees. Second, the factors commonly affecting depressive symptoms in public and private sector employees were residence area, cognitive demands, development opportunities, social support from colleagues, social support from supervisors, social community at work, job rewards, and work-family conflict. In addition, age, company size, atypical work, ergonomic risks, quantitative demands, emotional demands, influence, and job insecurity were found to be predictors of depressive symptoms unique to private sector employees.@*CONCLUSION@#Mental health programs including the employee assistance program (EAP) should be developed and implemented after considering the risk factors affecting depressive symptoms.
ABSTRACT
PURPOSE: This study aimed to identify the association between psychosocial work environment and depressive symptoms among Korean teachers. METHODS: Data on 235 elementary school teachers and 341 middle and high school teachers was obtained from the 2014 Korean Working Condition Survey. The effect of psychosocial work environment on depressive symptoms was determined by multiple logistic regression analyses. RESULTS: The prevalence of depressive symptoms was 18 % in elementary school teachers and 24 % in middle and high school teachers. When adjusted for demographics and other socio-psychological and environmental factors, ‘social community at work’ served as a protection factor for Korean teachers' depressive symptoms. In addition, ‘cognitive demands’ in elementary school teachers and ‘social support from supervisors’ in middle and high school teachers were found to be predictors of depressive symptoms. CONCLUSION: Interventions to increase ‘social community at work’ and ‘social support from supervisors’, and to decrease ‘cognitive demands’ may be helpful for Korean teachers at risk of depression.
Subject(s)
Humans , Demography , Depression , Logistic Models , Prevalence , PsychologyABSTRACT
BACKGROUND: American Heart Association (AHA) defined 7 cardiovascular health metrics for the general population to improve cardiovascular health in 2010: not smoking; having normal blood pressure; being physically active; normal body mass index, blood glucose, and total cholesterol levels; and eating a healthy diet. To investigate trends in cardiovascular health metrics in Korea, we used data from the third and fourth Korean National Health and Nutrition Examination Surveys. METHODS: We defined seven cardiovascular health metrics similar to the one defined by AHA but physical activity, body mass index, and healthy diet were properly redefined to be suited for the Korean population. We compared each cardiovascular health metric and calculated the sum of cardiovascular health metrics after dichotomizing each health metric to ideal (scored 1) and poor (scored 0). RESULTS: Health metric scores of smoking in males (P value for trend < 0.001), physical activity both in males and females (P-value for trend < 0.001 both), body mass index in females (P-value for trend = 0.030), and blood pressure both in males and females (P-value for trend < 0.001, both) were improved. On the other hand, health metric scores of healthy diet in males (P-value for trend = 0.002), and fasting blood glucose both in males and females (P-value for trend < 0.001 both) got worse. The total scores of seven health metrics were stationary. CONCLUSION: Total scores were not changed but each metric showed various trends. A long-term study is necessary for analyzing exact trends.