Journal
JOURNAL OF AFFECTIVE DISORDERS
Volume 281, Issue -, Pages 235-243Publisher
ELSEVIER
DOI: 10.1016/j.jad.2020.12.035
Keywords
depression; meta-analysis; mood disorders
Categories
Funding
- MRC [MR/S028188/1, MR/T037423/1, MR/T038500/1]
- MRC [MC_PC_MR/T037423/1] Funding Source: UKRI
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Evidence suggests that there is an increasing trend in the likelihood of experiencing depression over time in the general population, with no significant impact from factors such as gender, age, and type of prevalence. Moreover, the high heterogeneity across studies was not explained by any of the design variables considered, and no evidence for publication bias was found.
Background: There is mixed evidence regarding the change in the prevalence of depression in the general population over time. This study aimed to synthesise the evidence on studies that use equivalent approaches in equivalent populations across different time points. Methods: A systematic review was conducted to identify studies focused on the change over time in depression incidence and prevalence in the general population. A random-effects meta-analysis was performed to obtain a pooled effect for the change in the prevalence estimates between the first and last time points considered. Subgroup and meta-regression analyses were used to ascertain differences in the effect sizes by gender, age group, prevalence type, elapsed time between cross-sections, and depression operationalisation. Results: 19 studies provided information on the change in depression prevalence over time, whereas none provided such information regarding incidence. The pooled odds ratio (OR) and confidence interval (CI) were estimated by using 17 studies: OR=1.35 (95% CI: 1.14, 1.61). Similar pooled effects were obtained for females and males, separately. The high heterogeneity across studies was not explained by any of the design variables considered. No evidence for publication bias was found. Limitations: The review included published articles up to August 2018, and the information of studies with more than two time points was summarised in a single estimate of change. Conclusions: There is a predominant increasing trend in the likelihood of experiencing depression over time that seems not to be explainable by study design differences or publication bias alone.
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