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Increased prevalence of depression in South Korea from 2002 to 2013



South Korea has one of the highest suicide rates among countries. However, the prevalence of depression in South Korea has been reported to be much lower than in other countries. The current study aims to estimate the prevalence of major depressive disorder using a large representative sample of the South Korean population. The prevalence of depression in a sampled population of one million individuals increased from 2.8% in 2002 to 5.3% in 2013; it was found to increase with the age of the population, and was higher in females than in males for most age groups. A Cox’s proportional hazard model showed that suicide risk was significantly higher in people with depression (hazard ratio [HR] 3.79, 95% CI 3.14–4.58) than those without depression. It was also significantly higher in older people (HR 1.52, 95% CI 1.36–1.70) than in younger people, and in males (HR 2.45, 95% CI 2.02–2.96) than in females. Furthermore, higher income groups were at lower suicide risk as compared to lower income groups (HR 0.88, 95% CI 0.80–0.95). This study using the large representative sample data provided evidence that increased prevalence of depression contributed to the increased risk of suicide in South Korea during the recent decade.


In 2017, depression was the third leading cause of years lived with disability after low back pain and headache disorders1. Depression is also a major risk factor for suicidal mortality in the general population2,3. South Korea has the highest suicide rate among Organization for Economic Co-operation and Development (OECD) countries, about 2.4 times higher than the average suicide rate of other OECD countries4,5.

However, despite the high suicide rate, the prevalence of depression in South Korea has been reported to be much lower than in other countries. Cho et al. reported that the annual prevalence of major depressive disorder was 1.7%, 2.5%, and 3.1% in 2001, 2006, and 2011, respectively6,7,8. These values are lower than those of high-income countries (5.5%) and low- to middle-income countries (5.9%) as observed in a cross-national study9, and lower than average values of various countries (7.2%) reported in a recent meta-analysis10. In the previous cross-sectional national surveys reporting the prevalence of depression in South Korea, the study populations were convenient and different in each study, and the number of subjects in the target population was small, which makes their results less representative of the general population of South Korea.

The access rate to health care services for depression has been reported to be low. One study reported that the percent annual treatment rate for major depressive episodes was 39.2%11. The mental health treatment gap for major depression was 56.3%12, with 38% of the patients receiving antidepressant pharmacotherapy at primary care facilities13. The usage of antidepressants is increasing globally and the association between antidepressants and suicidal risk is still a matter of debate14,15. However, there has been little research on the prevalence of antidepressant treatment with respect to depression in South Korea.

The National Health Insurance Service-National Sample Cohort (NHIS-NSC) is a representative sample database having the clinical record of about one million patients randomly selected from approximately 97% of the overall population of South Korea from 2002 to 201316. Increasing number of researchers have reported the prevalence of various diseases using this database17,18,19 since this large-sized data provides a unique opportunity to examine the epidemiological characteristics of the whole population of South Korea, free from recall bias or nonresponse that are frequently found in survey studies20,21. This study aimed to estimate the annual prevalence and incidence of major depressive disorder in the South Korean population over the last decade. We also investigated the rate of prescription of antidepressants. To understand the influence of depression on suicidal mortality22, we examined suicidal risk in populations both with and without depression.


Table 1 shows the epidemiology of total population and patients with depression in 2013 (refer to Lee et al.16 for more detailed socio-demographic characteristics of the population from the NHIS-NSC database). The table shows that depression was more prevalent in females than in males, and in older people than in young people. The prevalence of depression was significantly higher in people from the lowest or highest income percentiles than in those belonging to the middle-ranged income percentile. It was also significantly higher in people from non-metropolitan areas than in those from metropolitan areas. Although both these comparisons showed statistical significance, the effect size was small (Table 1).

Table 1 Epidemiology of total population and patients with depression in 2013.

Figure 1 shows annual prevalence and incidence of depression during the study period, from 2002 to 2013. The prevalence of depression in the total population in 2002 and 2013 was 2.8% and 5.3%, respectively (‘Dx’ group). The change in the prevalence of depression diagnosis and history of antidepressant treatment (‘Dx and Mx’ group), and that of depression diagnosis or history of antidepressant treatment (‘Dx or Mx’ group), were similar to that of Dx group; the prevalence increased during the study period, with the exception of a minor temporary decrease in 2007 and 2013 in the ‘Dx’ and ‘Dx or Mx’ groups. Among those diagnosed with depression, the proportion of people who were prescribed antidepressants increased steadily during the study period. While about a quarter of the people diagnosed with depression were prescribed antidepressants in 2002, close to half were prescribed antidepressants in 2013. There was a stationary pattern of change in the incidence of depression, although there were slight fluctuations during the study period. Notably, the number of ‘Unmedicated Dx’ individuals decreased.

Figure 1
figure 1

Age- and sex-standardized prevalence and incidence of depressive disorder in South Korea.

Figures 2 shows the statistics from 2002 and 2013 as classified by age and sex. The prevalence of depression was higher in females than in males for most age groups. In children under 15 years of age and the elderly over 85 years of age in 2002, males had a higher prevalence than females. In 2013, only male children under 15 years of age had a higher prevalence of depression than female children. As the age of population increased, the prevalence of depression tended to increase. The 65–70 years old group in females and 75–79 years old group in males showed the highest prevalence of depression in 2002. On the other hand, the 75–79 years old group in females and 80–84 years old group in males showed the highest prevalence in 2013.

Figure 2
figure 2

Prevalence of depression based on sex and age in 2002 and 2013.

The cumulative incidence of suicide indicates that the suicide rate of individuals with depressive disorder was significantly higher than that of individuals without the disorder (Fig. 3). Figure 4 and Supplementary Table 1 shows the suicide risk with respect to different population characteristics including depression, age, sex, socioeconomic position, and living area, modelled using Cox's proportional-hazards regression. The suicide risk was significantly higher in people with depression (hazard ratio [HR] 3.79, 95% CI 3.14–4.58) than in those without depression, in older people (HR 1.52, 95% CI 1.36–1.70) than in younger people, and in males (HR 2.45, 95% CI 2.02–2.96) than in females. Higher income groups were at lower suicide risk when compared with lower income groups (HR 0.88, 95% CI 0.80–0.95).

Figure 3
figure 3

Cumulative incidence of suicide in the population with or without depressive disorder.

Figure 4
figure 4

Forest plot of multivariate Cox regression analysis of effect of depression and epidemiological factors on suicide. The number of deaths from suicide according to each factor is listed in Supplementary Table 1.


The annual prevalence of depression as estimated by medical records of diagnosis increased during the study period, from 2002 to 2013. It was 3.7% in 2006 and 4.8% in 2011, which is higher than 2.5% in 2006 and 3.1% in 2011 as reported by previous survey studies7,8. The annual prevalence of depression was 5.3% in 2013, which was the highest among those reported in South Korea. It is similar to that of high-income (5.5%) and low- to middle-income countries (5.9%) as published in a previous cross-national study9. In survey studies, the prevalence could be underrated due to the participants’ nonresponse or underreporting from the fear that disclosing their history of depression may lead to discrimination or avoidance by communities23. This use of the claims database in this study makes it free from recall bias or nonresponse. The data was carefully prepared from a database covering the whole South Korean population with systematic stratification to minimize sampling bias16. Nevertheless, the data does not include patients who do not visit the clinics or hospitals, allowing for a potential underestimation of depression.

The prevalence of depression has been reported to be lower in Asian countries when compared to Western and Middle Eastern countries9,10,24,25,26. Asian people are known to be reluctant to seek psychiatric treatment due to the stigma of mental illness27,28,29. In Japan, only 5% of the Japanese patients with rheumatoid arthritis had been diagnosed with depression, while 35% of the same population had PHQ-9 scores indicative of depression30. Increasing annual prevalence from 2002 to 2013 approaching the level of high-income western countries and decreased population with unmedicated depression (Fig. 1) suggest that although still prevalent, the prejudice against seeking psychiatric treatment has reduced with increasing public awareness of depression31.

It is noteworthy that not only did the rate of visits to clinics or hospitals increased, but the rate of antidepressant prescription also increased. Antidepressant prescription rates have also increased in other countries, such as Australia, the USA, and the UK32,33,34. These trends may have been influenced by several factors including public awareness of depression and improvements in antidepressants. Antidepressants such as selective serotonin reuptake inhibitors (SSRIs) and serotonin and norepinephrine reuptake inhibitors (SNRIs) are popular first-line treatments for depression35. Newer antidepressants have superior safety profiles and less adverse effects than older tricyclics and monoamine oxidase inhibitors (MAOI)36.

The prevalence of depression increased by about 43.82% (3.72% vs 5.35%) in study population from 2005 to 2013. The increase in the prevalence of major depression seems more rapid in South Korea than in the US. Weinberger et al. reported that the prevalence of depression in the US increased by about 8.16% (6.62% vs 7.16%) from 2005 to 201337. The stationary incidence of depression despite increased prevalence of depression suggests that the recovery rate of depressive disorders is low and that depressive disorders might be chronic, lasting years to decades. This finding is more significant if we consider the decrease in the number of unmedicated incidents of depression. South Korea is a highly competitive society that has experienced rapid economic and sociocultural changes over the past few decades. The costs of these rapid changes include occupational stress, rising housing prices, and high divorce rates, all of which are closely associated with depression in South Korea38,39,40. We compared the prevalence of three different categories of depression, i.e., Dx, Dx and Mx, and Dx or Mx, and the overall trends were similar. Interestingly, the prevalence of all three categories have increased rapidly since 2008. The financial crisis that occurred when the Lehman Brothers went bankrupt in 2008 had a worldwide impact. In 2008, mental health problems and suicide rates increased in many countries41,42, including South Korea43,44.

We observed a higher prevalence of depression in people belonging to the lowest or highest income percentiles than in those of the middle-ranged income percentile. These findings are consistent with previous reports37,45 that people of higher economic status are more likely to recognize symptoms of depression, receive adequate treatment for it, and have more positive association towards medication46,47.

The prevalence of depressive disorder was higher in women than men in most age groups. It is well known that depression is more prevalent in women than men6,25,48,49,50. Women are susceptible to depression due to sociocultural and biological factors51, and they are at a higher risk for major traumas like sexual abuse52. Besides, the prior depression and anxiety disorders, social role, poverty, and adverse life events were all regarded as risk factors for depression in women53. Our study revealed that boys under 15 years of age had a higher prevalence than girls. Few studies have been conducted on sex differences with respect to the prevalence of depression in children. One study has reported that boys experience more depressive symptoms than girls, and after puberty, the prevalence of depression in women is significantly higher than in men54.

In 2013, the prevalence of depression increased with age, being maximum for the 75–79 years old population females and 80–84 years old group in males. The result is consistent with the previous study that reported that aged people have a higher prevalence of depression than younger people in South Korea49,55. In a previous study, while the average prevalence of major depressive disorder across all age groups was 3.6%, the prevalence in the subjects who were 65 years or older was 4.6%55. Park et al. reported that the prevalence of major depressive disorder at over 65 years of age was 4.93% in a randomly sampled population in a local city area in 200556.

The rapid increase in depression with age is not universal. It has been reported that the risk of major depressive episodes decreased with age in Canada57. The authors argued that age seemed to have a protective effect on the incidence of depression57. Robert et al. proposed that old age is not an independent risk factor for depression58. They suggested that age-related effects on depression were from chronic health problems and related disability. Risk factors such as functional impairment, cognitive problems, and social isolation were associated with higher rates of depression58. In South Korea, rapid economic growth and socio-cultural changes have taken place over the last few decades and the elderly have difficulty in adjusting to this abrupt change with a lack of a social support system59. The age group showing the highest prevalence of depression, i.e. 60–79 years of age in 2002, increased to over 70 years of age in 2013. This may be due to an increase in the average life expectancy in South Korea60. Older people experience more illnesses and more economic difficulties as life expectancy increases. Accordingly, health problems and economic difficulties have been reported to be the main reasons for suicidal thoughts among the older population61.

The cumulative incidence of suicide was higher in people with depression than in those without depression. Depression is known to increase suicide risk3,62. South Korea has one of the highest suicide rates in the industrialized world4,5. The continuously increasing suicide rates in South Korea peaked in 20105. Our study shows that the incidence of depression started to decrease around 2012. South Korea passed the Act for the Prevention of Suicide in 2011 as one of its national suicide prevention policies5. The Korea Suicide Prevention Centre was established in 2012, and national suicide prevention projects were promoted by raising public awareness of depression5. These national efforts may have contributed to the decreased incidence and prevalence of depression. Indeed, the suicide rates in South Korea have decreased since 201363. Our study shows that the prevalence of depression increased to reach to those of other countries in 2013. However, the treatment of depression by the use of antidepressants also increased (Fig. 1), which might contribute to a decrease in suicide rates since the use of antidepressants contributes to a decrease in suicide rates64.

We observed that older people and males had a higher suicide risk than younger people and females (Fig. 4). Older people were more likely to die by suicide than younger people and even if they survived, their prognosis was poor65. It is well known that male sex is a risk factor for suicide66,67. In our study, people with higher incomes had a lower risk of suicide than those with lower incomes. Suicide risk has been associated with socio-economic factors such as low income and unemployment. To this end, men appear to be more affected by negative economic conditions than women68.

There are limitations in this study. Our study could not include people who did not visit clinics or hospital for depressive disorder. The diagnosis of depressive disorder may be omitted to avoid the stigma of mental disorder, or wrongly created by clinicians to reimburse healthcare services. In order to lessen the miscoding error, which is a limitation of claims data, we explored the results with two more auxiliary categories—‘Dx and Mx’ and ‘Dx or Mx’. All three categories showed similar increases in prevalence during the study period.

We analysed a large representative sample of the South Korean population and reported a higher level of prevalence of depression than any previous epidemiological study conducted in South Korea. The prevalence of depression have steadily increased over the last decade with a rapid increase in aged people. Rapid westernization and a competitive social atmosphere in South Korea seem to make people vulnerable to depressive disorders, which is especially true in elderly people who lack a sufficient social support system. We also found that antidepressant prescriptions had increased. The increase in use of healthcare system due to improved economic status or lessening of stigma may be another possible explanation for the observed increase in prevalence of depression. Despite this, the prevalence of depression might still be highly underestimated in South Korea. The relationship between depression and increased suicide risk was confirmed in a large representative sample of the South Korean population.


Data sources and study population

We analysed the NHIS-NSC database of South Korea (2002–2013) which has been implemented by the NHIS of Korea, a single national insurance provider. This cohort consists of a nationally representative random sample of 1,025,340 participants, generated by the NHIS using a systematic, stratified random sampling method from all 46,605,433 individuals from 200216. To maintain the cohort size of approximately one million samples, the NHIS-NSC was renewed annually by adding a representative sample of newborns to compensate for annual disqualifications owing to death and emigration. This database was generated using medical bill expenses of the participants, claimed by medical service providers including hospitals, private clinics, and public centres in South Korea. Depression was diagnosed by physicians, including psychiatrists. The disease diagnosis codes are based on the International Codes of Disease 10th Edition (ICD-10). The database contains subject demographics, disease diagnosis, drug prescription, medical aid beneficiaries, medical bill details, and clinical procedure information generated by all types of medical providers16.

Ethical approval was waived in this study by the Institutional Review Board of Asan Medical Center, Seoul, South Korea. Informed consent was waived because the data in the NHIS-NSC were anonymized and de-identified.

Definition of depression

Depression was defined using the ICD-10 codes for depression (F32.0, F32.1, F32.2, F32.3, F32.8, F32.9, F33.0, F33.1, F33.2, F33.3, F33.4, F33.8, and F33.9). Identification of depression done solely based on diagnosis can be misleading due to the possibility of over-inclusion or misdiagnosis69. Therefore, we investigated the prevalence of two more categories of depression. One was the prevalence of depression diagnosis and a history of antidepressant treatment (‘Dx and Mx’ group), and the other was prevalence of depression diagnosis or a history of antidepressant treatment (‘Dx or Mx’ group). The ‘Dx and Mx’ and ‘Dx or Mx’ groups were identified based on the availability of patient claims records with a diagnosis of depression along with records of prescription of antidepressants, and of claims records with a diagnosis of depression or records of prescription of antidepressants, respectively. Here, antidepressants included all in the market available in South Korea during the study period: Selective Serotonin Reuptake Inhibitors, Serotonin-Norepinephrine Reuptake Inhibitors, Norepinephrine-Dopamine Reuptake Inhibitors, Tricyclic antidepressants, Monoamine Oxidase Inhibitors.

Statistical analyses

We calculated the annual age- and sex-standardized prevalence of depression from 2002 to 2013 and annual age- and sex-standardized incidence of depression from 2005 to 2013, which were standardized based on the cohort structure of 2013 (Supplementary Table 2). Only individuals with no previous diagnosis for depression from 2002 to 2004 were counted as incident cases for the relevant year. The annual prevalence according to sex and age groups was calculated in 2002 and 2013 to visualize the pattern of increased prevalence during the decade. The presence of any linear trends in time for annual prevalence was tested using the chi-square test. Survival analysis was performed using Cox’s proportional models to determine the associations between population characteristics (age group, sex, socioeconomic position measured by income group, living in metropolitan versus non-metropolitan area, and diagnosis of depression) and the risk of committing suicide. We selected cases of incidence in 2008 to analyse the latest five-year suicide for the depressive disorder. Randomly selected non-case controls, subjects with no major depressive disorder, were matched with a ratio of 3:1 to the patients with major depressive disorder from the NHIS-NSC in 2008, according to age and sex (Supplementary Table 3). All statistical analyses were conducted using the R package ver. 3.2.3.

Data availability

The data that support the findings of this study are available from the Korea National Health Insurance Service upon reasonable request and with the appropriate review process.


  1. 1.

    GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789–1858 (2018).

    Article  Google Scholar 

  2. 2.

    Bolton, J. M., Gunnell, D. & Turecki, G. Suicide risk assessment and intervention in people with mental illness. BMJ (2015).

    Article  PubMed  Google Scholar 

  3. 3.

    Chesney, E., Goodwin, G. M. & Fazel, S. Risks of all-cause and suicide mortality in mental disorders: A meta-review. World Psychiatry 13, 153–160. (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    OECD. Health at a Glance 2015: OECD Indicators (OECD Publishing, Paris, 2015).

    Book  Google Scholar 

  5. 5.

    Lee, S.-U. et al. Changing trends in suicide rates in South Korea from 1993 to 2016: A descriptive study. BMJ Open 8, e023144. (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Cho, M. J. et al. Lifetime and 12-month prevalence of DSM-IV psychiatric disorders among Korean adults. J. Nerv. Ment. Dis. 195, 203–210. (2007).

    Article  PubMed  Google Scholar 

  7. 7.

    Cho, M. J. et al. Prevalence of DSM-IV major mental disorders among Korean adults: A 2006 National Epidemiologic Survey (KECA-R). Asian. J. Psychiatr. 3, 26–30. (2010).

    Article  PubMed  Google Scholar 

  8. 8.

    Cho, M. J. et al. Prevalence and correlates of DSM-IV mental disorders in South Korean adults: The Korean Epidemiologic Catchment Area Study 2011. Psychiatry Investig. 12, 164–170. (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Bromet, E. et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 9, 90. (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Lim, G. Y. & Tam, W. W. Prevalence of Depression in the Community from 30 Countries between 1994 and 2014. Sci. Rep. 8, 2861. (2018).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Hengartner, M. P., Angst, F., Ajdacic-Gross, V., Rossler, W. & Angst, J. Treated versus non-treated subjects with depression from a 30-year cohort study: Prevalence and clinical covariates. Eur. Arch. Psychiatry. Clil. Neurosci. 266, 173–180. (2016).

    Article  Google Scholar 

  12. 12.

    Kohn, R., Saxena, S., Levav, I. & Saraceno, B. The treatment gap in mental health care. Bull. World Health Organ. 82, 858–866 (2004).

    PubMed  PubMed Central  Google Scholar 

  13. 13.

    Simon, G. E., Fleck, M., Lucas, R. & Bushnell, D. M. Prevalence and predictors of depression treatment in an international primary care study. Am. J. Psychiatry. 161, 1626–1634. (2004).

    Article  PubMed  Google Scholar 

  14. 14.

    Cipriani, A., Barbui, C. & Geddes, J. R. Suicide, depression, and antidepressants. BMJ 330, 373–374. (2005).

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Dragioti, E. et al. Association of antidepressant use with adverse health outcomes: A systematic umbrella review. JAMA Psychiatry 76, 1241–1255. (2019).

    Article  PubMed Central  Google Scholar 

  16. 16.

    Lee, J., Lee, J. S., Park, S. H., Shin, S. A. & Kim, K. Cohort profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. Int. J. Epidemiol. 46, e15. (2017).

    Article  PubMed  Google Scholar 

  17. 17.

    Lee, J. H., Lim, N. K., Cho, M. C. & Park, H. Y. Epidemiology of heart failure in Korea: Present and future. Korean Cir. J. 46, 658–664. (2016).

    Article  Google Scholar 

  18. 18.

    Rim, T. H. et al. Incidence and prevalence of uveitis in South Korea: A nationwide cohort study. Br. J. Ophthalmol. 102, 79–83. (2018).

    Article  PubMed  Google Scholar 

  19. 19.

    Tae, B. S., Balpukov, U., Cho, S. Y. & Jeong, C. W. Eleven-year cumulative incidence and estimated lifetime prevalence of urolithiasis in Korea: A National Health Insurance Service-National Sample Cohort Based Study. J. Korean Med. Sci. 33, e13. (2018).

    Article  PubMed  Google Scholar 

  20. 20.

    Krosnick, J. A. Survey research. Annu. Rev. Psychol. 50, 537–567. (1999).

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Simon, G. E. & VonKorff, M. Recall of psychiatric history in cross-sectional surveys: Implications for epidemiologic research. Epidemiol Rev. 17, 221–227. (1995).

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    World Health Organization, Suicide data. Accesssed 27 Sep 2018.

  23. 23.

    Kelly, C. M. & Jorm, A. F. Stigma and mood disorders. Curr. Opin. Psychiatry. 20, 13–16. (2007).

    Article  PubMed  Google Scholar 

  24. 24.

    Weissman, M. M. et al. Cross-national epidemiology of major depression and bipolar disorder. JAMA 276, 293–299 (1996).

    CAS  Article  Google Scholar 

  25. 25.

    Andrade, L. et al. The epidemiology of major depressive episodes: Results from the International Consortium of Psychiatric Epidemiology (ICPE) Surveys. Int. J. Methods Psychiatr. Res. 12, 3–21. (2003).

    Article  PubMed  Google Scholar 

  26. 26.

    Chong, S. A. et al. A population-based survey of mental disorders in Singapore. Ann. Acad. Med. Singapore. 41, 49–66 (2012).

    PubMed  Google Scholar 

  27. 27.

    Ng, C. H. The stigma of mental illness in Asian cultures. Aust. N. Z. J. Psychiatry. 31, 382–390. (1997).

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Lauber, C. & Rössler, W. Stigma towards people with mental illness in developing countries in Asia. Int. Rev. Psychiatry. 19, 157–178. (2007).

    Article  PubMed  Google Scholar 

  29. 29.

    McDONALD, M. Stressed and Depressed, Koreans Avoid Therapy. The New York Times. (2011).

  30. 30.

    Sruamsiri, R., Kaneko, Y. & Mahlich, J. The underrated prevalence of depression in Japanese patients with rheumatoid arthritis—Evidence from a Nationwide survey in Japan. BMC Rheumatol. 1, 5. (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Samsung Medical Center. The Survey of Mental Disorders in Korea (Ministry of Health and Welfare, Sejong, 2017).

    Google Scholar 

  32. 32.

    Stephenson, C. P., Karanges, E. & McGregor, I. S. Trends in the utilisation of psychotropic medications in Australia from 2000 to 2011. Aust. N. Z. J. Psychiatry. 47, 74–87. (2013).

    Article  PubMed  Google Scholar 

  33. 33.

    Ilyas, S. & Moncrieff, J. Trends in prescriptions and costs of drugs for mental disorders in England, 1998–2010. Br. J. Psychiatry J. Mental Sci. 200, 393–398. (2012).

    Article  Google Scholar 

  34. 34.

    Olfson, M. & Marcus, S. C. National patterns in antidepressant medication treatment. Arch. Gen. Psychiatry 66, 848–856. (2009).

    Article  PubMed  Google Scholar 

  35. 35.

    Woo, Y. S. et al. Korean medication algorithm for depressive disorder 2017(I): Major depressive disorder without psychotic features. Mood Emot. 15, 5–13 (2017).

    Google Scholar 

  36. 36.

    Westenberg, H. G. M. & Sandner, C. Tolerability and safety of fluvoxamine and other antidepressants. Int. J. Clin. Pract. 60, 482–491. (2006).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Weinberger, A. H. et al. Trends in depression prevalence in the USA from 2005 to 2015: Widening disparities in vulnerable groups. Psychol. Med. 48, 1308–1315. (2018).

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Cho, J. J. et al. Occupational stress and depression in Korean employees. Int. Arch. Occup. Environ. Health. 82, 47–57. (2008).

    Article  PubMed  Google Scholar 

  39. 39.

    Lee, T.-H. et al. Depressive symptoms of house-poor persons: Korean panel data evidence. Int. J. Soc. Psychiatry. 62, 569–577. (2016).

    Article  PubMed  Google Scholar 

  40. 40.

    Kong, K. A., Choi, H. Y. & Kim, S. I. Mental health among single and partnered parents in South Korea. PLoS ONE 12, e0182943. (2017).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Chang, S.-S., Stuckler, D., Yip, P. & Gunnell, D. Impact of 2008 global economic crisis on suicide: Time trend study in 54 countries. BMJ 347, f5239. (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Barr, B., Kinderman, P. & Whitehead, M. Trends in mental health inequalities in England during a period of recession, austerity and welfare reform 2004 to 2013. Soc. Sci. Med. 147, 324–331. (2015).

    Article  PubMed  Google Scholar 

  43. 43.

    Kim, M. Y., Jung, K. H. & Kum, H. S. An explanatory analysis of the economic crisis and suicide rate at the aggregate level: Age- and gender-specific suicide rates at the 15 South Korean provinces, 1992–2009. Korean J. Policy Anal. Eval. 21, 273–302 (2011).

    Google Scholar 

  44. 44.

    Korean statistical information service, Suicide rate. Accessed 12 June 2020.

  45. 45.

    Chien, I. C. et al. The prevalence and incidence of treated major depressive disorder among National Health Insurance Enrollees in Taiwan, 1996 to 2003. Can. J. Psychiatry. 52, 28–36. (2007).

    Article  PubMed  Google Scholar 

  46. 46.

    von dem Knesebeck, O. et al. Socioeconomic status and beliefs about depression, schizophrenia and eating disorders. Soc. Psychiatry Psychiatr. Epidemiol. 48, 775–782. (2013).

    Article  Google Scholar 

  47. 47.

    Warden, D. et al. Income and attrition in the treatment of depression: A STAR*D report. Depress Anxiety. 26, 622–633. (2009).

    ADS  Article  PubMed  Google Scholar 

  48. 48.

    Kim, J. I., Choe, M. A. & Chae, Y. R. Prevalence and predictors of geriatric depression in community-dwelling elderly. Asian. Nurs. Res. 3, 121–129. (2009).

    Article  Google Scholar 

  49. 49.

    Oh, D. H. et al. Prevalence and correlates of depressive symptoms in korean adults: Results of a 2009 korean community health survey. J. Korean. Med. Sci. 28, 128–135. (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Maier, W. et al. Gender differences in the prevalence of depression: A survey in primary care. J. Affect. Disord. 53, 241–252 (1999).

    CAS  Article  Google Scholar 

  51. 51.

    Kuehner, C. Gender differences in unipolar depression: An update of epidemiological findings and possible explanations. Acta. Psychiatr. Scand. 108, 163–174. (2003).

    CAS  Article  PubMed  Google Scholar 

  52. 52.

    Nolen-Hoeksema, S. Gender differences in depression. Curr. Dir. Psychol. Sci. 10, 173–176. (2001).

    Article  Google Scholar 

  53. 53.

    Piccinelli, M. & Wilkinson, G. Gender differences in depression. Crit. Rev. Br. J. Psychiatry. 177, 486–492. (2000).

    CAS  Article  Google Scholar 

  54. 54.

    Twenge, J. M. & Nolen-Hoeksema, S. Age, gender, race, socioeconomic status, and birth cohort difference on the children’s depression inventory: A meta-analysis. J. Abnorm. Psychol. 111, 578–588. (2002).

    Article  PubMed  Google Scholar 

  55. 55.

    Ohayon, M. M. & Hong, S. C. Prevalence of major depressive disorder in the general population of South Korea. J. Psychiatr. Res. 40, 30–36. (2006).

    Article  PubMed  Google Scholar 

  56. 56.

    Park, J. H. et al. Prevalence of major depressive disorder and minor depressive disorder in an elderly Korean population: Results from the Korean Longitudinal Study on Health and Aging (KLoSHA). J. Affect. Disord. 125, 234–240. (2010).

    Article  PubMed  Google Scholar 

  57. 57.

    Wade, T. J. & Cairney, J. The effect of sociodemographics, social stressors, health status and psychosocial resources on the age-depression relationship. Can. J. Public Health. 91, 307–312 (2000).

    CAS  Article  Google Scholar 

  58. 58.

    Roberts, R. E., Kaplan, G. A., Shema, S. J. & Strawbridge, W. J. Does growing old increase the risk for depression?. Am. J. Psychiatry. 154, 1384–1390. (1997).

    CAS  Article  PubMed  Google Scholar 

  59. 59.

    Choe, H. S. & Ryu, Y. K. A study on the levels, trends, and composition of the old-age poverty in Korea. J. Korea Gerontol. Society. 23, 143–160 (2003).

    Google Scholar 

  60. 60.

    Korean statistical information service. Life expectancy. Accessed 12 June 2020.

  61. 61.

    Korean statistical information service. Reasons and attempt to think suicide by general feature of older persons. Accessed 12 June 2020.

  62. 62.

    Choi, J. W., Lee, K. S., Kim, T. H., Choi, J. & Han, E. Suicide risk after discharge from psychiatric care in South Korea. J. Affect. Disord. 251, 287–292. (2019).

    Article  PubMed  Google Scholar 

  63. 63.

    Korea Suicide Prevention Center. Suicide status. Accessed 12 June 2020.

  64. 64.

    Rihmer, Z. Can better recognition and treatment of depression reduce suicide rates? A brief review. Eur. Psychiatry. 16, 406–409 (2001).

    CAS  Article  Google Scholar 

  65. 65.

    Rodda, J., Walker, Z. & Carter, J. Depression in older adults. BMJ 343, d5219. (2011).

    Article  PubMed  Google Scholar 

  66. 66.

    Crump, C., Sundquist, K., Sundquist, J. & Winkleby, M. A. Sociodemographic, psychiatric and somatic risk factors for suicide: A Swedish national cohort study. Psychol. Med. 44, 279–289. (2013).

    Article  PubMed  Google Scholar 

  67. 67.

    Hawton, K., Comabella, C., Haw, C. & Saunders, K. Risk factors for suicide in individuals with depression: A systematic review. J. Affect. Disord. 147, 17–28. (2013).

    Article  PubMed  Google Scholar 

  68. 68.

    Qin, P., Agerbo, E. & Mortensen, P. B. Suicide risk in relation to socioeconomic, demographic, psychiatric, and familial factors: A national register-based study of all suicides in Denmark, 1981–1997. Am. J. Psychiatry. 160, 765–772. (2003).

    Article  PubMed  Google Scholar 

  69. 69.

    Mitchell, A. J., Vaze, A. & Rao, S. Clinical diagnosis of depression in primary care: A meta-analysis. Lancet 374, 609–619. (2009).

    Article  PubMed  Google Scholar 

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This research was supported by a Grant of Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant No. HI18C0446).

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Y.W.S. and M.W.J. contributed to the idea and design of this study. Y.W.S. and M.W.J. contributed to data collection, data analysis, and preparation of figures. G.E.K., M.W.J. and Y.W.S. drafted and revised the manuscript. All authors approved the final version of the manuscript.

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Correspondence to Min-Woo Jo or Yong-Wook Shin.

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Kim, G.E., Jo, MW. & Shin, YW. Increased prevalence of depression in South Korea from 2002 to 2013. Sci Rep 10, 16979 (2020).

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