0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Depression and its influencing factors among older adults with chronic pain in China: an empirical analysis based on CHARLS data

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          China’s aging problem is intensifying, the older adult not only face a variety of chronic physical diseases and pain, but also have higher levels of depression than other age groups. This study explores the related factors of depression in older adults with chronic pain in China and provide evidence and reference for the formulation of intervention policies and measures.

          Methods

          Using the data of the fifth wave of national survey conducted by the China Health and Retirement Longitudinal Study (CHARLS) in 2020, a total of 10,581 older adults with chronic pain were selected as research objects, and their depression status was measured by the Depression Scale (CES-D). Chi-square test and multiple logistic regression were used to analyze the main factors affecting depression in older adults with chronic pain.

          Results

          The results of multivariate logistic regression analysis showed: gender (female: OR = 1.28, 95%CI = 1.16–1.41), age (≥75 years old: OR = 0.49, 95%CI = 0.42–0.56), spouse/partner living together (no: OR = 1.19, 95%CI = 1.06–1.32), place of residence (rural: OR = 1.19, 95%CI = 1.06–1.32), education level (High school and above: OR = 1.19, 95%CI = 1.06–1.32); satisfaction with child relationship (satisfaction: OR = 0.22, 95%CI = 0.18–0.28), smoking (no: OR = 0.60, 95%CI = 0.41–0.86), Internet use in the past month (Yes: OR = 0.77, 95%CI = 0.68–0.86), nap duration (1 ~ <2 h: OR = 0.75, 95%CI = 0.66–0.85; ≥2 h: OR = 0.75, 95%CI = 0.66–0.85), night sleep duration (6 ~ <8 h: OR = 0.75, 95%CI = 0.66–0.85; ≥8 h: OR = 0.56, 95%CI = 0.49–0.63), BADL damaged (Yes: OR = 1.45, 95%CI = 1.31–1.62), IADL damaged (Yes: OR = 1.31, 95%CI = 1.17–1.45), received outpatient services in the past month (Yes: OR = 1.18, 95%CI = 1.06–1.31), pain (Quite a Bit/Very: OR = 1.41, 95%CI = 1.26–1.58), number of body parts that feeling pain (1 ~ 3: OR = 1.42, 95%CI = 1.27–1.60; 4–6: OR = 1.76, 95%CI = 1.51–2.04; 7 ~ 9: OR = 2.21, 95%CI = 1.82–2.67; ≥10: OR = 2.63, 95%CI = 2.15–3.22) are the influencing factors of depressive symptoms in older adults with chronic pain ( p < 0.05).

          Conclusion

          The incidence of depressive symptoms in older adults with chronic pain is 31.7%, and their depression status is affected by various factors. Medical and health institutions and policy makers should pay attention to the mental health of these older adults, and take targeted measures to improve health education, disease treatment, pain management, sleep improvement, family support, and other aspects according to their characteristics.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS).

          The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons in China 45 years of age or older and their spouses, including assessments of social, economic, and health circumstances of community-residents. CHARLS examines health and economic adjustments to rapid ageing of the population in China. The national baseline survey for the study was conducted between June 2011 and March 2012 and involved 17 708 respondents. CHARLS respondents are followed every 2 years, using a face-to-face computer-assisted personal interview (CAPI). Physical measurements are made at every 2-year follow-up, and blood sample collection is done once in every two follow-up periods. A pilot survey for CHARLS was conducted in two provinces of China in 2008, on 2685 individuals, who were resurveyed in 2012. To ensure the adoption of best practices and international comparability of results, CHARLS was harmonized with leading international research studies in the Health and Retirement Study (HRS) model. Requests for collaborations should be directed to Dr Yaohui Zhao (yhzhao@nsd.edu.cn). All data in CHARLS are maintained at the National School of Development of Peking University and will be accessible to researchers around the world at the study website. The 2008 pilot data for CHARLS are available at: http://charls.ccer.edu.cn/charls/. National baseline data for the study are expected to be released in January 2013.
            • Record: found
            • Abstract: not found
            • Article: not found

            Mental health: a world of depression.

              • Record: found
              • Abstract: found
              • Article: not found

              Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010

              Summary Background China has undergone rapid demographic and epidemiological changes in the past few decades, including striking declines in fertility and child mortality and increases in life expectancy at birth. Popular discontent with the health system has led to major reforms. To help inform these reforms, we did a comprehensive assessment of disease burden in China, how it changed between 1990 and 2010, and how China's health burden compares with other nations. Methods We used results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) for 1990 and 2010 for China and 18 other countries in the G20 to assess rates and trends in mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE). We present results for 231 diseases and injuries and for 67 risk factors or clusters of risk factors relevant to China. We assessed relative performance of China against G20 countries (significantly better, worse, or indistinguishable from the G20 mean) with age-standardised rates and 95% uncertainty intervals. Findings The leading causes of death in China in 2010 were stroke (1·7 million deaths, 95% UI 1·5–1·8 million), ischaemic heart disease (948 700 deaths, 774 500–1 024 600), and chronic obstructive pulmonary disease (934 000 deaths, 846 600–1 032 300). Age-standardised YLLs in China were lower in 2010 than all emerging economies in the G20, and only slightly higher than noted in the USA. China had the lowest age-standardised YLD rate in the G20 in 2010. China also ranked tenth (95% UI eighth to tenth) for HALE and 12th (11th to 13th) for life expectancy. YLLs from neonatal causes, infectious diseases, and injuries in children declined substantially between 1990 and 2010. Mental and behavioural disorders, substance use disorders, and musculoskeletal disorders were responsible for almost half of all YLDs. The fraction of DALYs from YLDs rose from 28·1% (95% UI 24·2–32·5) in 1990 to 39·4% (34·9–43·8) in 2010. Leading causes of DALYs in 2010 were cardiovascular diseases (stroke and ischaemic heart disease), cancers (lung and liver cancer), low back pain, and depression. Dietary risk factors, high blood pressure, and tobacco exposure are the risk factors that constituted the largest number of attributable DALYs in China. Ambient air pollution ranked fourth (third to fifth; the second highest in the G20) and household air pollution ranked fifth (fourth to sixth; the third highest in the G20) in terms of the age-standardised DALY rate in 2010. Interpretation The rapid rise of non-communicable diseases driven by urbanisation, rising incomes, and ageing poses major challenges for China's health system, as does a shift to chronic disability. Reduction of population exposures from poor diet, high blood pressure, tobacco use, cholesterol, and fasting blood glucose are public policy priorities for China, as are the control of ambient and household air pollution. These changes will require an integrated government response to improve primary care and undertake required multisectoral action to tackle key risks. Analyses of disease burden provide a useful framework to guide policy responses to the changing disease spectrum in China. Funding Bill & Melinda Gates Foundation.

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1827538/overviewRole: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/3011253/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/3010645/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/3010743/overviewRole: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/799157/overviewRole: Role: Role: Role: Role:
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                02 April 2025
                2025
                : 13
                : 1547860
                Affiliations
                [1] 1Department of Public Health, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Mental Health Center/Shenzhen Kangning Hospital , Shenzhen, China
                [2] 2Department of Geriatric Psychiatry, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Mental Health Center/Shenzhen Kangning Hospital , Shenzhen, China
                [3] 3Department of Medical Treatment, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Mental Health Center/Shenzhen Kangning Hospital , Shenzhen, China
                [4] 4Department of Psychiatric Prevention and Treatment, Baise Second People’s Hospital , Baise, China
                Author notes

                Edited by: Wulf Rössler, Charité University Medicine Berlin, Germany

                Reviewed by: Hui Liew, University of Nebraska at Kearney, United States

                Chen Li, Shanghai University of Engineering Science, China

                *Correspondence: Yongjun Wang, yjwang1931@ 123456szknyy.com
                Article
                10.3389/fpubh.2025.1547860
                12013616
                40265064
                a5269935-df75-4ff8-bee3-089ad3f2c692
                Copyright © 2025 Wang, Huang, Sun, Gui and Wang.

                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
                : 18 December 2024
                : 26 February 2025
                Page count
                Figures: 0, Tables: 4, Equations: 0, References: 36, Pages: 9, Words: 6173
                Funding
                The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by National Key R&D Program of the Ministry of Science and Technology of the People’s Republic of China (No. 2023YFC3603200), Guangdong Medical Science and Technology Research Fund (No. A2024495), Shenzhen Science and Technology Innovation Bureau Basic Research (General Project) (No. JCYJ20240813112859008), Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties (No. SZGSP013), Shenzhen Key Medical Discipline Construction Fund (No. SZXK072), Fund of the Science and Technology Planning Project of Shenzhen Municipality (No. 20210617155253001), and Sanming Project of Medicine in Shenzhen (No. SZSM202311026).
                Categories
                Public Health
                Original Research
                Custom metadata
                Public Mental Health

                older adult,pain,depression,influencing factor,charls
                older adult, pain, depression, influencing factor, charls

                Comments

                Comment on this article

                Related Documents Log