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A New Method for Inducing a Depression-Like Behavior in Rats
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Depression prevalence: is it really increasing?

Graeme Hawthorne1, Robert Goldney, Anne W Taylor

  • 1Department of Psychiatry, University of Melbourne, Australia. graemeeh@unimelb.edu.au

The Australian and New Zealand Journal of Psychiatry
|July 10, 2008
PubMed
Summary
This summary is machine-generated.

Australian depression prevalence remained stable between 1998 and 2004, with no increase in major depression cases. This study challenges the notion of rising depression rates, advocating for evidence-based perspectives on mental health trends.

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Published on: December 2, 2015

Area of Science:

  • Mental Health Research
  • Epidemiology
  • Public Health

Background:

  • Conflicting evidence exists regarding trends in depression prevalence.
  • Previous studies, including birth cohort analyses, suggested increasing rates, while longitudinal studies indicated stability.
  • No prior Australian studies provided long-term depression prevalence estimates.

Purpose of the Study:

  • To investigate the hypothesis of increasing depression prevalence within an Australian population.
  • To provide long-term depression prevalence data for Australia.
  • To analyze trends in major and other depression over time.

Main Methods:

  • Re-analysis of data from the 1998 and 2004 South Australian Health Omnibus Surveys.
  • Inclusion of over 3000 participants per survey, with data weighted for representativeness.
  • Classification of depression using the Primary Care Evaluation of Mental Disorders scale (PRIME-MD) into major, other, and no depression categories.
  • Application of univariate and multivariable analyses to examine trends and adjust for background variables.

Main Results:

  • No statistically significant increase in major depression prevalence was observed between 1998 (6.8%) and 2004 (8.0%).
  • A significant decrease in other depression prevalence was noted, falling from 10.6% in 1998 to 8.4% in 2004.
  • Major and other depression were most prevalent in females aged 15-29 years and least prevalent in individuals aged 50 years and older. Poor overall health status was the strongest predictor of depression.

Conclusions:

  • The widely held belief that depression is increasing requires re-evaluation based on empirical evidence.
  • A more realistic perspective on depression prevalence, supported by data-driven analysis, should be adopted.
  • Longitudinal data suggests depression prevalence may be more stable than commonly assumed.