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      State-Specific Prevalence of Depression Among Adults With and Without Diabetes — United States, 2011–2019

      research-article
      , ScD 1 , , , PhD, MS 1 , , PhD, MPH 1 , , MD, MPH 1 , , PhD, MPA 1 , , MBBS, MPH, MA 1
      Preventing Chronic Disease
      Centers for Disease Control and Prevention

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          Abstract

          Introduction

          In 2019 among US adults, 1 in 9 had diagnosed diabetes and 1 in 5 had diagnosed depression. Since these conditions frequently coexist, compounding their health and economic burden, we examined state-specific trends in depression prevalence among US adults with and without diagnosed diabetes.

          Methods

          We used data from the 2011 through 2019 Behavioral Risk Factor Surveillance System to evaluate self-reported diabetes and depression prevalence. Joinpoint regression estimated state-level trends in depression prevalence by diabetes status.

          Results

          In 2019, the overall prevalence of depression in US adults with and without diabetes was 29.2% (95% CI, 27.8%–30.6%) and 17.9% (95% CI, 17.6%–18.1%), respectively. From 2011 to 2019, the depression prevalence was relatively stable for adults with diabetes (28.6% versus 29.2%) but increased for those without diabetes from 15.5% to 17.9% (average annual percent change [APC] over the 9-year period = 1.6%, P = .015). The prevalence of depression was consistently more than 10 percentage points higher among adults with diabetes than those without diabetes. The APC showed a significant increase in some states (Illinois: 5.9%, Kansas: 3.5%) and a significant decrease in others (Arizona: −5.1%, Florida: −4.0%, Colorado: −3.4%, Washington: −0.9%). In 2019, although it varied by state, the depression prevalence among adults with diabetes was highest in states with a higher diabetes burden such as Kentucky (47.9%), West Virginia (47.0%), and Maine (41.5%).

          Conclusion

          US adults with diabetes are more likely to report prevalent depression compared with adults without diabetes. These findings highlight the importance of screening and monitoring for depression as a potential complication among adults with diabetes.

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          Most cited references32

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          Permutation tests for joinpoint regression with applications to cancer rates

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            Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms.

            In 2 meta-analyses on gender differences in depression in nationally representative samples, we advance previous work by including studies of depression diagnoses and symptoms to (a) estimate the magnitude of the gender difference in depression across a wide array of nations and ages; (b) use a developmental perspective to elucidate patterns of gender differences across the life span; and (c) incorporate additional theory-driven moderators (e.g., gender equity). For major depression diagnoses and depression symptoms, respectively, we meta-analyzed data from 65 and 95 articles and their corresponding national data sets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations. Overall, odds ratio (OR) = 1.95, 95% confidence interval (CI) [1.88, 2.03], and d = 0.27 [0.26, 0.29]. Age was the strongest predictor of effect size. The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12. For both meta-analyses, the gender difference peaked in adolescence (OR = 3.02 for ages 13-15, and d = 0.47 for age 16) but then declined and remained stable in adulthood. Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms. The gender difference in depression represents a health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in men should not be overlooked. (PsycINFO Database Record
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              Why is depression more prevalent in women?

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                Author and article information

                Journal
                Prev Chronic Dis
                Prev Chronic Dis
                PCD
                Preventing Chronic Disease
                Centers for Disease Control and Prevention
                1545-1151
                2023
                10 August 2023
                : 20
                : E70
                Affiliations
                [1 ]Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
                Author notes
                Corresponding Author: Alain K. Koyama, ScD, Centers for Disease Control and Prevention, Division of Diabetes Translation, 4770 Buford Hwy, NE, MS S107-3, Atlanta, GA 30341-3724 ( akoyama@ 123456cdc.gov ).
                Article
                22_0407
                10.5888/pcd20.220407
                10431924
                37562067
                a217636a-260e-41f0-826a-327269689c77
                Copyright @ 2023

                Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.

                History
                Categories
                Original Research
                Peer Reviewed

                Health & Social care
                Health & Social care

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