PofoliaShared via Pofolia

Scientific Reports· 2018Q1· Meta-analysis

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

Grace Y. Lim, Wilson Tam, Yanxia Lu, Cyrus S. H. Ho et al.

Short summary

This meta-analysis of 90 studies (n=1,112,573 adults) found aggregate point, one-year, and lifetime depression prevalences of 12.9%, 7.2%, and 10.8% respectively, between 1994 and 2014.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Aggregate point, one-year, and lifetime depression prevalences were 12.9%, 7.2%, and 10.8% respectively.
  • Point prevalence was significantly higher in women (14.4%) compared to men.
  • Medium HDI countries showed a substantially higher point prevalence (29.2%).
  • Self-reporting instruments yielded higher point prevalence (17.3%) than other methods.
  • Response rate, percentage of women, and year of publication contributed to prevalence variations.

AI-generated from the title and abstract; the full text is not read.

Abstract

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.

The authors' abstract, as published at the source. Scientific Reports, 2018 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Applied Psychology

Applied PsychologyPsychology