Prevalence of Depression in the Community from 30 Countries between 1994 and 2014

The prevalence of depression may be affected by changes in psychiatric practices and the availability of online mental health information in the past two decades. This study aimed to evaluate the aggregate prevalence of depression in communities from different countries between 1994 and 2014 and to explore the variations in prevalence stratified by geographical, methodological and socio-economic factors. A total of 90 studies were identified and met the inclusion criteria (n = 1,112,573 adults) with 68 studies on single point prevalence, 9 studies on one-year prevalence, and 13 studies on lifetime prevalence of depression. A random-effects model meta-analysis that was performed to calculate the aggregate point, one-year and lifetime prevalence of depression calculated prevalences of 12.9%, 7.2% and 10.8% respectively. Point prevalence of depression was significantly higher in women (14.4%), countries with a medium human development index (HDI) (29.2%), studies published from 2004 to 2014 (15.4%) and when using self-reporting instruments (17.3%) to assess depression. Heterogeneity was identified by meta-regression and subgroup analysis, and response rate, percentage of women and year of publication, respectively, were determined contribute to depression prevalence. This meta-analysis allows benchmarking of the prevalence of depression during the era when online health information emerged, facilitating future comparisons.

[1]  Jean-Baptiste Richard,et al.  Use of the Internet as a Health Information Resource Among French Young Adults: Results From a Nationally Representative Survey , 2014, Journal of medical Internet research.

[2]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2010, International journal of surgery.

[3]  C. Salisbury,et al.  Cost-effectiveness of telehealth for patients with depression: evidence from the Healthlines randomised controlled trial , 2016, BJPsych Open.

[4]  P. Summergrad.  Investing in global mental health: the time for action is now. , 2016, The lancet. Psychiatry.

[5]  Roger C. M. Ho,et al.  Enabling Psychiatrists to Explore the Full Potential of E-Health , 2015, Front. Psychiatry.

[6]  Enquan Cheow,et al.  Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies , 2014, JMIR mHealth and uHealth.

[7]  C. Dowrick.  Computerised self help for depression in primary care , 2015, BMJ : British Medical Journal.

[8]  K. Mak,et al.  The effect of severity of depressive disorder on economic burden in a university hospital in Singapore , 2013, Expert review of pharmacoeconomics & outcomes research.

[9]  David R. Williams,et al.  Cross-national epidemiology of DSM-IV major depressive episode , 2011, BMC medicine.

[10]  Lee M Ritterband,et al.  Effectiveness of an online insomnia program (SHUTi) for prevention of depressive episodes (the GoodNight Study): a randomised controlled trial. , 2016, The lancet. Psychiatry.

[11]  W. Hiser,et al.  A comparison of self-reported versus clinician-rated symptoms in depression , 1987 .

[12]  E. Kua,et al.  Depression and chronic medical illnesses in Asian older adults: the role of subjective health and functional status , 2007, International journal of geriatric psychiatry.

[13]  Tilo Hartmann,et al.  Online health anxiety and consultation satisfaction: A quantitative exploratory study on their relations. , 2016, Patient education and counseling.

[14]  J. Rezmovitz,et al.  Screen all for depression , 2016, British Medical Journal.

[15]  R. Araya,et al.  Country- and individual-level socioeconomic determinants of depression: multilevel cross-national comparison , 2013, British Journal of Psychiatry.

[16]  R. Ho,et al.  Success/failure condition influences attribution of control, negative affect, and shame among patients with depression in Singapore , 2017, BMC Psychiatry.

[17]  T. Vos,et al.  Challenges to estimating the true global burden of mental disorders. , 2016, The lancet. Psychiatry.

[18]  G. Murray,et al.  High Prevalence Disorders in Urban and Rural Communities , 2002, The Australian and New Zealand journal of psychiatry.

[19]  Susan Mayor,et al.  Persistent depression doubles stroke risk despite treatment, study finds , 2015, BMJ : British Medical Journal.

[20]  A. Rush,et al.  Health-related quality of life in depression: a STAR*D report. , 2010, Annals of clinical psychiatry : official journal of the American Academy of Clinical Psychiatrists.

[21]  B. Cox,et al.  Discrepancies between self and observer ratings of depression. The relationship to demographic, clinical and personality variables. , 2000, Journal of affective disorders.

[22]  T. Suppes,et al.  Online ethics: where will the interface of mental health and the internet lead us? , 2017, International Journal of Bipolar Disorders.

[23]  Mike W-L Cheung,et al.  Conducting a meta‐analysis: basics and good practices , 2012, International journal of rheumatic diseases.

[24]  Melvyn W B Zhang,et al.  The `WikiGuidelines' smartphone application: Bridging the gaps in availability of evidence-based smartphone mental health applications. , 2016, Technology and health care : official journal of the European Society for Engineering and Medicine.

[25]  Carol C. Choo,et al.  Prediction of Lethality in Suicide Attempts: Gender Matters , 2019, Omega.

[26]  H. Whiteford,et al.  Social correlates of mental, neurological, and substance use disorders in China and India: a review. , 2016, The lancet. Psychiatry.

[27]  M. Large.  Study on suicide risk assessment in mental illness underestimates inpatient suicide risk , 2016, BMJ : British Medical Journal.

[28]  Carol C. Choo,et al.  Cluster analysis reveals risk factors for repeated suicide attempts in a multi-ethnic Asian population. , 2014, Asian journal of psychiatry.

[29]  R. Stewart,et al.  Prevalence and correlates of late‐life depression compared between urban and rural populations in Korea , 2002, International journal of geriatric psychiatry.

[30]  Fang Pan,et al.  The alcohol tracker application: an initial evaluation of user preferences , 2015, BMJ Innovations.

[31]  P. Cuijpers,et al.  Excess mortality in depression: a meta-analysis of community studies. , 2002, Journal of affective disorders.

[32]  R. Kessler,et al.  Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. , 1994, Archives of general psychiatry.

[33]  David Morganstein,et al.  Cost of lost productive work time among US workers with depression. , 2003, JAMA.

[34]  I. Gotlib,et al.  Gender differences in depression: the role of personality factors , 2004, Psychiatry Research.

[35]  P. Cuijpers,et al.  Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments , 2013, Psycho-oncology.

[36]  Gavin Andrews,et al.  Lifetime prevalence estimates of major depression: An indirect estimation method and a quantification of recall bias , 2004, European Journal of Epidemiology.

[37]  Nina A. Sayer,et al.  The relations between observer-rating and self-report of depressive symptomatology. , 1993 .

[38]  Rahul Shidhaye,et al.  Prevalence of mental, neurological, and substance use disorders in China and India: a systematic analysis. , 2016, The lancet. Psychiatry.

[39]  A. Rush,et al.  A comparison of self-reported versus clinician-related symptoms in depression. , 1987, The Journal of clinical psychiatry.

[40]  Yanxia Lu,et al.  A regressional analysis of maladaptive rumination, illness perception and negative emotional outcomes in Asian patients suffering from depressive disorder. , 2014, Asian journal of psychiatry.

[41]  Zhonghe Li,et al.  The CES-D in Chinese American women: Construct validity, diagnostic validity for major depression, and cultural response bias , 2010, Psychiatry Research.

[42]  L. Punnett,et al.  The association of major depressive episodes with income inequality and the human development index. , 2008, Social science & medicine.

[43]  K. Wahlbeck.  Public mental health: the time is ripe for translation of evidence into practice , 2015, World psychiatry : official journal of the World Psychiatric Association.

[44]  Katia Levecque,et al.  Gender differences in depression in 23 European countries. Cross-national variation in the gender gap in depression. , 2010, Social science & medicine.

[45]  H. Christensen,et al.  e-Mental health for mood and anxiety disorders in general practice. , 2014, Australian family physician.

[46]  J. Stringer,et al.  Adherence to antiretroviral therapy during and after pregnancy in low-income, middle-income, and high-income countries: a systematic review and meta-analysis , 2012, AIDS.

[47]  D. Gunnell,et al.  Suicide risk assessment and intervention in people with mental illness , 2015, BMJ : British Medical Journal.

[48]  H. Juon,et al.  Depression among Asian-American Adults in the Community: Systematic Review and Meta-Analysis , 2015, PloS one.

[49]  S. Thompson,et al.  How should meta‐regression analyses be undertaken and interpreted? , 2002, Statistics in medicine.

[50]  M. Ansseau,et al.  High prevalence of mental disorders in primary care. , 2004, Journal of affective disorders.

[51]  H. Britt,et al.  Patient use of the internet for health information. , 2014, Australian family physician.