Abstract
BackgroundIn the United States, the lifetime prevalence of depression in the US population is 20.6 %. We aimed to understand the temporal trends in the prevalence of depression among adults in the United States during the period 2013–2022 as well as the effects of age, period, and cohort effects on the prevalence of depression. MethodsData from 3,139,488 participants in the U.S. Behavioral Risk Factor Surveillance System (BRFSS) from 2013 to 2022 were used in this study. The joinpoint regression model was used to calculate annual percentage change (APC) and average annual percentage change (AAPC) to learn about the time trends in the prevalence of depression. Age-period-cohort models were used to estimate the effects of age, period, and birth cohort effects on the prevalence of depression. ResultsThe prevalence of depression among adults in the United States showed an overall increasing trend from 2013 to 2022. The rate of increase was greater in males than females, with AAPC values of 1.44 % (95 % CI: 0.32–2.18), and 1.23 % (95 % CI: 0.32–2.25), respectively. Regarding the age effect, the risk of depression among adults in the United States generally showed an increasing and then decreasing trend with age. The risk of developing the condition reached its maximum at 50–54 years (RR = 1.28, 95 % CI = 1.26–1.30). Regarding the period effect, the risk of depression among US adults was higher during 2018–2022 than during 2013–2017. The overall cohort effect for depression prevalence was a higher risk for those born later, with a maximum RR of 1.51 (95 % CI: 1.47–1.54). ConclusionThe prevalence of adult depression in the United States is showing an increasing trend. Middle-aged people and those born later in life deserve more attention as high-risk groups. It is recommended that the condition burden of depression be reduced with the promotion of healthy lifestyles, the promotion of interpersonal communication, as well as enhanced mental health education and mental health literacy.
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