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      Analysis of depression status and influencing factors in middle-aged and elderly patients with chronic diseases

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          Abstract

          Objectives

          To explore prevalence of depression and its influencing factors in middle-aged and elderly patients with chronic diseases.

          Method

          Data were extracted from the 2018 China Health and Retirement Tracking Survey (CHARLS) for 6,704 middle-aged and elderly patients ≥45 years with chronic diseases. The influencing variables were selected based on LASSO-logistic regression model, and a nomogram was further drawn to visualize regression results.

          Results

          Comorbidity between chronic diseases and depression symptoms were detected in 3058 individuals (45.6%). Female, rural, lower education, poor, insomnia, multiple chronic disease, and functional impairment were associated with a higher proportion of depression. Meanwhile, family interaction, intergenerational financial support, social activity intensity, and satisfaction with life can protect against depression.

          Conclusion

          Depressive symptoms are common in Chinese older adults with chronic diseases. They need regular assessment and intervention, especially those with multiple diseases, female, rural, alone, impaired, poor sleep, or poor economy. These high-risk elders also need family, medical, and social support and care.

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          Most cited references43

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          Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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            Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D

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              Depression, chronic diseases, and decrements in health: results from the World Health Surveys

              Depression is an important public-health problem, and one of the leading causes of disease burden worldwide. Depression is often comorbid with other chronic diseases and can worsen their associated health outcomes. Few studies have explored the effect of depression, alone or as a comorbidity, on overall health status. The WHO World Health Survey (WHS) studied adults aged 18 years and older to obtain data for health, health-related outcomes, and their determinants. Prevalence of depression in respondents based on ICD-10 criteria was estimated. Prevalence values for four chronic physical diseases--angina, arthritis, asthma, and diabetes--were also estimated using algorithms derived via a Diagnostic Item Probability Study. Mean health scores were constructed using factor analysis and compared across different disease states and demographic variables. The relation of these disease states to mean health scores was determined through regression modelling. Observations were available for 245 404 participants from 60 countries in all regions of the world. Overall, 1-year prevalence for ICD-10 depressive episode alone was 3.2% (95% CI 3.0-3.5); for angina 4.5% (4.3-4.8); for arthritis 4.1% (3.8-4.3); for asthma 3.3% (2.9-3.6); and for diabetes 2.0% (1.8-2.2). An average of between 9.3% and 23.0% of participants with one or more chronic physical disease had comorbid depression. This result was significantly higher than the likelihood of having depression in the absence of a chronic physical disease (p<0.0001). After adjustment for socioeconomic factors and health conditions, depression had the largest effect on worsening mean health scores compared with the other chronic conditions. Consistently across countries and different demographic characteristics, respondents with depression comorbid with one or more chronic diseases had the worst health scores of all the disease states. Depression produces the greatest decrement in health compared with the chronic diseases angina, arthritis, asthma, and diabetes. The comorbid state of depression incrementally worsens health compared with depression alone, with any of the chronic diseases alone, and with any combination of chronic diseases without depression. These results indicate the urgency of addressing depression as a public-health priority to reduce disease burden and disability, and to improve the overall health of populations.
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                Author and article information

                Contributors
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1793799/overviewRole: Role: Role: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1878875/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/985968/overviewRole: Role: Role: Role: Role:
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                16 February 2024
                2024
                : 15
                : 1308397
                Affiliations
                [1] 1Department of Physician, Community Health Service Center of Shangdu Street , Fuzhou, Fujian, China
                [2] 2Department of Ultrasonography, Fujian Medical University Union Hospital , Fuzhou, China
                [3] 3Department of Basic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University , Fuzhou, Fujian, China
                [4] 4Department of Nephrology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University , Fuzhou, Fujian, China
                [5] 5Department of Ultrasonography, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University , Fuzhou, Fujian, China
                Author notes

                Edited by: Renata Pecotić, University of Split, Croatia

                Reviewed by: Slavica Kozina, University of Split, Croatia

                Linda Lusic Kalcina, University of Split, Croatia

                *Correspondence: Li Zhang, lilydoctor9902@ 123456163.com

                These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpsyg.2024.1308397
                10904536
                38434947
                b4b204c7-2e63-4f34-a2a4-e486d0565a64
                Copyright © 2024 Lin, Zhang, Wang, Zhang and Yang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 October 2023
                : 31 January 2024
                Page count
                Figures: 3, Tables: 5, Equations: 0, References: 43, Pages: 11, Words: 6484
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Fujian Medical innovation project (2022CXA001).
                Categories
                Psychology
                Original Research
                Custom metadata
                Psychology of Aging

                Clinical Psychology & Psychiatry
                depression,middle and old age,chronic diseases,influencing factors,lasso logistic model

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