Sickness absence indicating depressive symptoms of working population in South Korea

Cheolmin Shin, Young-Hoon Ko, Seoyoung Yoon, Sang Won Jeon, Chi Un Pae, Yong Ku Kim, Ashwin A. Patkar, Changsu Han

Research output: Contribution to journalArticle

Abstract

Background Sickness absence has been regarded as an important indicator of workers' health and work productivity. This study is aimed to evaluate the association between depressive symptoms and sickness absence in workers of South Korea. Methods We used nationwide cross-sectional survey data from 2889 individuals in the working population aged over 19 years in South Korea. Depressive symptoms were measured using Patient Health Questionnaire-9 (PHQ-9). Those respondents who scored above 10 on PHQ-9 were regarded as having depressive symptoms. Sickness absence was considered a binary variable with an absence of at least 1 day in the past month. The survey instrument contained questions about sociodemographic factors, lifestyle, work-related factors, and chronic illnesses. Logistic regression models were used to find odds ratios and confidence intervals. Results The prevalence of sickness absence was found to be overall 4.6%. The adjusted odds ratio of sickness absence with depressive symptoms (PHQ-9 score ≥ 10) was 3.63 (Confidence Interval: 2.13–6.20) after controlling of possible confounders. Compared to minimal depressive symptoms (PHQ-9 < 5), the differences between other types of severity of depressive symptoms (mild, moderate, and moderately severe) in terms of mean of all sickness absences were more significant. Limitation The sickness absence based on the memory of the respondent in this study may result in a recall bias. Conclusions Incidence of at least 1 day of sickness absence per month increased the risk of depressive symptoms after controlling for the possible confounding factors in general working population. It may be necessary to consider strategies for assessing depression in the workers who take sick leaves.

Original languageEnglish
Pages (from-to)443-449
Number of pages7
JournalJournal of Affective Disorders
Volume227
DOIs
Publication statusPublished - 2017 Feb 1

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Republic of Korea
Depression
Population
Health
Logistic Models
Odds Ratio
Confidence Intervals
Sick Leave
Surveys and Questionnaires
Life Style
Chronic Disease
Cross-Sectional Studies
Efficiency
Incidence

Keywords

  • Depression
  • Depressive symptoms
  • General working population
  • Korea National Health and Nutrition Examination Survey
  • Sick leave
  • Sickness absence

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Sickness absence indicating depressive symptoms of working population in South Korea. / Shin, Cheolmin; Ko, Young-Hoon; Yoon, Seoyoung; Jeon, Sang Won; Pae, Chi Un; Kim, Yong Ku; Patkar, Ashwin A.; Han, Changsu.

In: Journal of Affective Disorders, Vol. 227, 01.02.2017, p. 443-449.

Research output: Contribution to journalArticle

Shin, Cheolmin ; Ko, Young-Hoon ; Yoon, Seoyoung ; Jeon, Sang Won ; Pae, Chi Un ; Kim, Yong Ku ; Patkar, Ashwin A. ; Han, Changsu. / Sickness absence indicating depressive symptoms of working population in South Korea. In: Journal of Affective Disorders. 2017 ; Vol. 227. pp. 443-449.
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abstract = "Background Sickness absence has been regarded as an important indicator of workers' health and work productivity. This study is aimed to evaluate the association between depressive symptoms and sickness absence in workers of South Korea. Methods We used nationwide cross-sectional survey data from 2889 individuals in the working population aged over 19 years in South Korea. Depressive symptoms were measured using Patient Health Questionnaire-9 (PHQ-9). Those respondents who scored above 10 on PHQ-9 were regarded as having depressive symptoms. Sickness absence was considered a binary variable with an absence of at least 1 day in the past month. The survey instrument contained questions about sociodemographic factors, lifestyle, work-related factors, and chronic illnesses. Logistic regression models were used to find odds ratios and confidence intervals. Results The prevalence of sickness absence was found to be overall 4.6{\%}. The adjusted odds ratio of sickness absence with depressive symptoms (PHQ-9 score ≥ 10) was 3.63 (Confidence Interval: 2.13–6.20) after controlling of possible confounders. Compared to minimal depressive symptoms (PHQ-9 < 5), the differences between other types of severity of depressive symptoms (mild, moderate, and moderately severe) in terms of mean of all sickness absences were more significant. Limitation The sickness absence based on the memory of the respondent in this study may result in a recall bias. Conclusions Incidence of at least 1 day of sickness absence per month increased the risk of depressive symptoms after controlling for the possible confounding factors in general working population. It may be necessary to consider strategies for assessing depression in the workers who take sick leaves.",
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N2 - Background Sickness absence has been regarded as an important indicator of workers' health and work productivity. This study is aimed to evaluate the association between depressive symptoms and sickness absence in workers of South Korea. Methods We used nationwide cross-sectional survey data from 2889 individuals in the working population aged over 19 years in South Korea. Depressive symptoms were measured using Patient Health Questionnaire-9 (PHQ-9). Those respondents who scored above 10 on PHQ-9 were regarded as having depressive symptoms. Sickness absence was considered a binary variable with an absence of at least 1 day in the past month. The survey instrument contained questions about sociodemographic factors, lifestyle, work-related factors, and chronic illnesses. Logistic regression models were used to find odds ratios and confidence intervals. Results The prevalence of sickness absence was found to be overall 4.6%. The adjusted odds ratio of sickness absence with depressive symptoms (PHQ-9 score ≥ 10) was 3.63 (Confidence Interval: 2.13–6.20) after controlling of possible confounders. Compared to minimal depressive symptoms (PHQ-9 < 5), the differences between other types of severity of depressive symptoms (mild, moderate, and moderately severe) in terms of mean of all sickness absences were more significant. Limitation The sickness absence based on the memory of the respondent in this study may result in a recall bias. Conclusions Incidence of at least 1 day of sickness absence per month increased the risk of depressive symptoms after controlling for the possible confounding factors in general working population. It may be necessary to consider strategies for assessing depression in the workers who take sick leaves.

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