Prevalence of Depression in the Community from 30 Countries between 1994 and 2014 /692/699/476/1414 /692/499 article

Scientific Reports

Volumn 8, Issue 1, 2018, Pages

  Lim, Grace Y ^a   Tam, Wilson W ^b   Lu, Yanxia ^c   Ho, Cyrus S ^d   Zhang, Melvyn W ^e   Ho, Roger C ^d  

^a MONASH UNIVERSITY   (Australia)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

^d NATIONAL UNIVERSITY HOSPITAL   (Singapore)

^e INSTITUTE OF MENTAL HEALTH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BENCHMARKING; FEMALE; HUMAN; HUMAN DEVELOPMENT; MEDICAL INFORMATION; META ANALYSIS; PREVALENCE; PUBLICATION; SOCIOECONOMICS; SYSTEMATIC REVIEW; CROSS-SECTIONAL STUDY; DEPRESSION; MALE; SELF REPORT; SEXUAL CHARACTERISTICS;

CROSS-SECTIONAL STUDIES; DEPRESSION; FEMALE; HUMANS; MALE; PREVALENCE; SELF REPORT; SEX CHARACTERISTICS; SOCIOECONOMIC FACTORS;

EID: 85041945312     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-018-21243-x     Document Type: Article

References (53)

1. Kessler, R. C. et al. Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of general psychiatry 51, 8-19 (1994).
2. Sinyor, M., Rezmovitz, J. & Zaretsky, A. Screen all for depression. BMJ (Clinical research ed.) 352, i1617, https://doi.org/10.1136/bmj.i1617 (2016).
3. Lu, Y. et al. A regressional analysis of maladaptive rumination, illness perception and negative emotional outcomes in Asian patients suffering from depressive disorder. Asian J Psychiatr 2, 69-76 (2014).
4. Choo, C. et al. Cluster analysis reveals risk factors for repeated suicide attempts in a multi-ethnic Asian population. Asian J Psychiatry 8, 38-42 (2014).
5. Large, M. Study on suicide risk assessment in mental illness underestimates inpatient suicide risk. BMJ (Clinical research ed.) 532, i267, https://doi.org/10.1136/bmj.i267 (2016).
6. Cuijpers, P. & Smit, F. Excess mortality in depression: a meta-analysis of community studies. J Affect Disord 72, 227-236 (2002).
7. Stewart, W. F., Ricci, J. A., Chee, E., Hahn, S. R. & Morganstein, D. Cost of lost productive work time among US workers with depression. Jama-J Am Med Assoc 289, 3135-3144, https://doi.org/10.1001/jama.289.23.3135 (2003).
8. Daly, E. J. et al. Health-related quality of life in depression: a STAR∗D report. Ann Clin Psychiatry 22, 43-55 (2010).
9. Mayor, S. Persistent depression doubles stroke risk despite treatment, study finds. BMJ (Clinical research ed.) 350, h2611, https://doi.org/10.1136/bmj.h2611 (2015).
10. Organisation, W. H. The world heath report 2001: Mental health: now understanding, new hope. (Geneva: Office of Publications, 2001).
11. Ansseau, M. et al. High prevalence of mental disorders in primary care. J Affect Disord 78, 49-55 (2004).
12. Wahlbeck, K. Public mental health: the time is ripe for translation of evidence into practice. World psychiatry: official journal of the World Psychiatric Association (WPA) 14, 36-42, https://doi.org/10.1002/wps.20178 (2015).
13. Baxter, A. J. et al. Prevalence of mental, neurological, and substance use disorders in China and India: a systematic analysis. The lancet. Psychiatry 3, 832-841, https://doi.org/10.1016/s2215-0366(16)30139-0 (2016).
14. Whiteford, H. A., Ferrari, A. J. & Vos, T. Challenges to estimating the true global burden of mental disorders. The lancet. Psychiatry 3, 402-403, https://doi.org/10.1016/s2215-0366(16)30026-8 (2016).
15. Bromet, E. et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC medicine 9, 90, https://doi.org/10.1186/1741-7015-9-90 (2011).
16. Dowrick, C. Computerised self help for depression in primary care. BMJ (Clinical research ed.) 351, h5942, https://doi.org/10.1136/bmj.h5942 (2015).
17. Bolton, J. M., Gunnell, D. & Turecki, G. Suicide risk assessment and intervention in people with mental illness. BMJ (Clinical research ed.) 351, h4978, https://doi.org/10.1136/bmj.h4978 (2015).
18. Christensen, H. et al. Effectiveness of an online insomnia program (SHUTi) for prevention of depressive episodes (the GoodNight Study): a randomised controlled trial. The lancet. Psychiatry 3, 333-341, https://doi.org/10.1016/s2215-0366(15)00536-2 (2016).
19. Zhang, M. W. & Ho, R. C. Enabling Psychiatrists to Explore the Full Potential of E-Health. Frontiers in psychiatry 6, 177, https://doi.org/10.3389/fpsyt.2015.00177 (2015).
20. Cosgrove, V. et al. Online ethics: where will the interface of mental health and the internet lead us? International journal of bipolar disorders 5, 26, https://doi.org/10.1186/s40345-017-0095-3 (2017).
21. Zhang, M. W., Ward, J., Ying, J. J., Pan, F. & Ho, R. C. The alcohol tracker application: an initial evaluation of user preferences. BMJ innovations 2, 8-13, https://doi.org/10.1136/bmjinnov-2015-000087 (2016).
22. Orman, J. et al. e-Mental health for mood and anxiety disorders in general practice. Australian family physician 43, 832-837 (2014).
23. Zhang, M. W. & Tsang, T. Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies. 2, e53, https://doi.org/10.2196/mhealth.3425 (2014).
24. Dixon, P. et al. Cost-effectiveness of telehealth for patients with depression: evidence from the Healthlines randomised controlled trial. BJPsych open 2, 262-269, https://doi.org/10.1192/bjpo.bp.116.002907 (2016).
25. Zhang, M. W., Ho, R. C. & McIntyre, R. S. The 'WikiGuidelines' smartphone application: Bridging the gaps in availability of evidence-based smartphone mental health applications. Technology and health care: official journal of the European Society for Engineering and Medicine 24, 587-590, https://doi.org/10.3233/thc-161141 (2016).
26. Beck, F. et al. Use of the internet as a health information resource among French young adults: results from a nationally representative survey. Journal of medical Internet research 16, e128, https://doi.org/10.2196/jmir.2934 (2014).
27. Tanis, M., Hartmann, T. & Te Poel, F. Online health anxiety and consultation satisfaction: A quantitative exploratory study on their relations. Patient education and counseling 99, 1227-1232, https://doi.org/10.1016/j.pec.2016.01.021 (2016).
28. Wong, C., Harrison, C., Britt, H. & Henderson, J. Patient use of the internet for health information. Australian family physician 43, 875-877 (2014).
29. Summergrad, P. Investing in global mental health: the time for action is now. The lancet. Psychiatry 3, 390-391, https://doi.org/10.1016/s2215-0366(16)30031-1 (2016).
30. Puri, B., Hall A., Ho R. Revision Notes in Psychiatry. 3rd edn, 384 (CRC Press, 2014).
31. Choo, C. C., Harris, K. M. & Ho, R. C. Prediction of Lethality in Suicide Attempts: Gender Matters. Omega, 30222817725182, https://doi.org/10.1177/0030222817725182 (2017).
32. Li, Z. & Hicks, M. H. The CES-D in Chinese American women: construct validity, diagnostic validity for major depression, and cultural response bias. Psychiatry research 175, 227-232, https://doi.org/10.1016/j.psychres.2009.03.007 (2010).
33. Kruijshaar, M. E. et al. Lifetime prevalence estimates of major depression: an indirect estimation method and a quantification of recall bias. European journal of epidemiology 20, 103-111 (2005).
34. Kramer, T., Als, L. & Garralda, M. E. Challenges to primary care in diagnosing and managing depression in children and young people. BMJ (Clinical research ed.) 350, h2512, https://doi.org/10.1136/bmj.h2512 (2015).
35. Kim, H. J., Park, E., Storr, C. L., Tran, K. & Juon, H. S. Depression among Asian-American Adults in the Community: Systematic Review and Meta-Analysis. Plos One 10, https://doi.org/10.1371/journal.pone.0127760 (2015).
36. Krebber, A. M. et al. Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments. Psychooncology 23, 121-130, https://doi.org/10.1002/pon.3409 (2014).
37. Rush, A. J., Hiser, W. & Giles, D. E. A comparison of self-reported versus clinician-related symptoms in depression. J Clin Psychiatry 48, 246-248 (1987).
38. Enns, M. W., Larsen, D. K. & Cox, B. J. Discrepancies between self and observer ratings of depression - The relationship to demographic, clinical and personality variables. J Affect Disorders 60, 33-41, https://doi.org/10.1016/S0165-0327(99)00156-1 (2000).
39. Sayer, N. A. et al. The relations between observer-rating and self-report of depressive symptomatology. Psychological Assessment 5, 350-360, https://doi.org/10.1037/1040-3590.5.3.350 (1993).
40. Ho, R. C., Mak, K. K., Chua, A. N., Ho, C. S. & Mak, A. The effect of severity of depressive disorder on economic burden in a university hospital in Singapore. Expert review of pharmacoeconomics & outcomes research 13, 549-559, https://doi.org/10.1586/14737167.2013.815409 (2013).
41. Rai, D., Zitko, P., Jones, K., Lynch, J. & Araya, R. Country- and individual-level socioeconomic determinants of depression: multilevel cross-national comparison. Brit J Psychiat 202, 195-203, https://doi.org/10.1192/bjp.bp.112.112482 (2013).
42. Cifuentes, M. et al. The association of major depressive episodes with income inequality and the human development index. Soc Sci Med 67, 529-539, https://doi.org/10.1016/j.socscimed.2008.04.003 (2008).
43. Judd, F. K. et al. High prevalence disorders in urban and rural communities. Aust N Z J Psychiatry 36, 104-113 (2002).
44. Kim, J. M., Shin, I. S., Yoon, J. S. & Stewart, R. Prevalence and correlates of late-life depression compared between urban and rural populations in Korea. Int J Geriatr Psych 17, 409-415, https://doi.org/10.1002/gps.622 (2002).
45. Yeo, S. N. et al. Success/failure condition influences attribution of control, negative affect, and shame among patients with depression in Singapore. BMC psychiatry 17, 285, https://doi.org/10.1186/s12888-017-1451-7 (2017).
46. Van de Velde, S., Bracke, P. & Levecque, K. Gender differences in depression in 23 European countries. Cross-national variation in the gender gap in depression. Soc Sci Med 71, 305-313, https://doi.org/10.1016/j.socscimed.2010.03.035 (2010).
47. Goodwin, R. D. & Gotlib, I. H. Gender differences in depression: the role of personality factors. Psychiatry research 126, 135-142, https://doi.org/10.1016/j.psychres.2003.12.024 (2004).
48. Cheng, H. G. et al. Social correlates of mental, neurological, and substance use disorders in China and India: a review. The lancet. Psychiatry 3, 882-899, https://doi.org/10.1016/s2215-0366(16)30166-3 (2016).
49. Nachega, J. B. et al. Adherence to antiretroviral therapy during and after pregnancy in low-income, middle-income, and highincome countries: a systematic review and meta-analysis. AIDS 26, 2039-2052, https://doi.org/10.1097/QAD.0b013e328359590f (2012).
50. Niti, M., Ng, T. P., Kua, E. H., Ho, R. C. & Tan, C. H. Depression and chronic medical illnesses in Asian older adults: the role of subjective health and functional status. Int J Geriatr Psychiatry 22, 1087-1094, https://doi.org/10.1002/gps.1789 (2007).
51. Thompson, S. G. & Higgins, J. P. T. How should meta-regression analyses be undertaken and interpreted? Stat Med 21, 1559-1573, https://doi.org/10.1002/sim.1187 (2002).
52. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G. & Group, P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg 8, 336-341, https://doi.org/10.1016/j.ijsu.2010.02.007 (2010).
53. Cheung, M. W., Ho, R. C., Lim, Y. & Mak, A. Conducting a meta-analysis: basics and good practices. International journal of rheumatic diseases 15, 129-135, https://doi.org/10.1111/j.1756-185X.2012.01712.x (2012).