Literature DB >> 32217343

Prevalence, correlates and misperception of depression symptoms in the United States, NHANES 2015-2018.

Chao Cao1, Liang Hu2, Tianlin Xu3, Qinran Liu4, Ai Koyanagi5, Lin Yang6, Andre F Carvalho7, Patricia A Cavazos-Rehg8, Lee Smith9.   

Abstract

PURPOSE: To update the prevalence of depression in the US and identify whether misperception exists in depression assessed by self-report versus validated tools administered by trained professionals.
METHODS: We extracted data on sociodemographic characteristics, lifestyle factors, medical conditions, depressive symptoms, and self-reported depressive feeling from National Health and Nutrition Examination Survey (NHANES) study 2015-2018. We calculated the weighted prevalence and 95% CI of depressive symptoms assessed by a validated tool PHQ-9 (score≥10) and self-reported depression respectively. Then, we performed multivariable logistic regressions to identify their sociodemographic and lifestyle correlates. Finally, we calculated the agreement between PHQ-9 assessed depressive symptoms and self-reported depressive feeling to examine possible misperception.
RESULTS: The present analysis included a total of 10,257 adults (Weighted N = 215,964,374) aged 20 years and older. Prevalence of depressive symptoms (PHQ-9 score ≥10) were 8.0% from 2015 to 2018 in the US. 19.7% and 11.3% adults reported feeling depressed at least once a month and at least once a week, respectively. Depressive experience was largely misperceived in the US (Kappa agreement = 50.98%, Cohen's Kappa = 0.16, p < 0.001). Particularly, an estimated 1.1 million US adults had depressive symptoms but never felt being depressed. Several consistent demographic and behavioral correlates were identified across the two measures, namely: age, sex, race/ethnicity, poverty and sitting time.
CONCLUSIONS: A high prevalence of depression was found, and misperception of depression exists among the US adult population. Our findings highlight an urgent need for health professionals to reduce the burden of depression with considering patients' socioeconomic status and lifestyle factors.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Correlates; Depression; Misperception; PHQ-9; Prevalence

Mesh:

Year:  2020        PMID: 32217343     DOI: 10.1016/j.jad.2020.03.031

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  9 in total

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4.  Curating evidence on mental health during COVID-19: A living systematic review.

Authors:  Brett D Thombs; Olivia Bonardi; Danielle B Rice; Jill T Boruff; Marleine Azar; Chen He; Sarah Markham; Ying Sun; Yin Wu; Ankur Krishnan; Ian Thombs-Vite; Andrea Benedetti
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5.  Association between Intake of Energy and Macronutrients and Memory Impairment Severity in US Older Adults, National Health and Nutrition Examination Survey 2011-2014.

Authors:  Qinran Liu; Jianjun Guo; Liang Hu; Nicola Veronese; Lee Smith; Lin Yang; Chao Cao
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6.  Change in Depression and Its Determinants during the COVID-19 Pandemic: A Longitudinal Examination among Racially/Ethnically Diverse US Adults.

Authors:  Yuzi Zhang; Kathryn M Janda; Nalini Ranjit; Deborah Salvo; Aida Nielsen; Alexandra van den Berg
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7.  Importance of Social Determinants in Screening for Depression.

Authors:  Robert M Califf; Celeste Wong; P Murali Doraiswamy; David S Hong; David P Miller; Jessica L Mega
Journal:  J Gen Intern Med       Date:  2021-08-17       Impact factor: 6.473

8.  The association between triglyceride glucose index and depression: data from NHANES 2005-2018.

Authors:  Yi-Yi Shi; Rui Zheng; Jie-Jie Cai; Song-Zan Qian
Journal:  BMC Psychiatry       Date:  2021-05-25       Impact factor: 3.630

9.  Interaction between trouble sleeping and depression on hypertension in the NHANES 2005-2018.

Authors:  Yingjie Cai; Manshuang Chen; Weixia Zhai; Chunhui Wang
Journal:  BMC Public Health       Date:  2022-03-11       Impact factor: 3.295

  9 in total

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