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Ho HE, Yeh CJ, Cheng-Chung Wei J, Chu WM, Lee MC. Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation. BMC Geriatr 2023; 23:177. [PMID: 36973699 PMCID: PMC10045862 DOI: 10.1186/s12877-023-03868-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 03/02/2023] [Indexed: 03/29/2023] Open
Abstract
Abstract
Background
Previous research has found different multimorbidity patterns that negatively affects health outcomes of older adults. However, there is scarce evidence, especially on the role of social participation in the association between multimorbidity patterns and depression. Our study aimed to explore the relationship between multimorbidity patterns and depression among older adults in Taiwan, including the social participation effect on the different multimorbidity patterns.
Methods
Data were retracted from the Taiwan longitudinal study on ageing (TLSA) for this population-based cohort study. 1,975 older adults (age > 50) were included and were followed up from 1996 to 2011. We used latent class analysis to determine participants’ multimorbidity patterns in 1996, whereas their incident depression was determined in 2011 by CES-D. Multivariable logistic regression was used to analyse the relationship between multimorbidity patterns and depression.
Results
The participants’ average age was 62.1 years in 1996. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 93), (2) Arthritis-cataract group (n = 105), (3) Multimorbidity group (n = 128) and (4) Relatively healthy group (n = 1649). Greater risk of incident depression was found among participants in the Multimorbidity group (OR: 1.62; 95% CI: 1.02–2.58) than the Relatively healthy group after the multivariable analysis. Compare to participants in the relatively healthy group with social participation, participants in the arthritis-cataract group without social participation (OR: 2.22, 95% CI: 1.03–4.78) and the multimorbidity group without social participation (OR: 2.21, 95% CI: 1.14–4.30) had significantly increased risk of having depression.
Conclusion
Distinct multimorbidity patterns among older adults in Taiwan are linked with the incident depression during later life, and social participation functioned as a protective factor.
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Ji Y, Feng Y, Wu S, Wu Y, Wang J, Zhao X, Liu Y. Longitudinal trajectories of depressive symptoms: the role of multimorbidity, mobility and subjective memory. BMC Geriatr 2023; 23:22. [PMID: 36635652 PMCID: PMC9837987 DOI: 10.1186/s12877-023-03733-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 01/06/2023] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND The high prevalence of depression among older people in China places a heavy burden on the health system. Multimorbidity, mobility limitation and subjective memory impairment are found to be risk indicators for depression. However, most studies on this topic focused on depression at a single point in time, ignoring the dynamic changes in depressive symptoms and the relationship between the trajectories and these three conditions. Therefore, we aimed to identify distinct trajectories of depressive symptoms in older people and investigate their associations with multimorbidity, mobility limitation and subjective memory impairment. METHODS Data was drawn from China Health and Retirement Longitudinal Study conducted during 2011-2018. A total of 5196 participants who completed 4 visits, conducted every 2-3 years were included in this study. Group-based trajectory modeling was conducted to identify distinct trajectories of depressive symptoms z-scores. Multinomial logistic regression was used to investigate the relationships. RESULTS Four distinct trajectories of depressive symptoms z-scores were identified, labeled as persistently low symptoms (68.69%, n = 3569), increasing symptoms (12.14%, n = 631), decreasing symptoms (14.05%, n = 730) and persistently high symptoms (5.12%, n = 266). Participants with multimorbidity had unfavorable trajectories of depressive symptoms compared with those without multimorbidity, with adjusted odds ratios (95% CIs) of 1.40 (1.15, 1.70), 1.59 (1.33, 1.90) and 2.19 (1.65, 2.90) for the increasing symptoms, decreasing symptoms and persistently high symptoms, respectively. We also observed a similar trend among participants with mobility limitations. Compared with participants who had poor subjective memory, participants with excellent/very good/good subjective memory had a lower risk of developing unfavorable trajectories of depressive symptoms. The adjusted odds ratios (95% CIs) of the increasing symptoms, decreasing symptoms and persistently high symptoms were 0.54 (0.40, 0.72), 0.50 (0.38, 0.65) and 0.48 (0.31, 0.73), respectively. CONCLUSIONS Multimorbidity, mobility limitation and subjective memory impairment were found to be potential risk factors for unfavorable depression trajectories.
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Affiliation(s)
- Yiman Ji
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
| | - Yiping Feng
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
| | - Sijia Wu
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
| | - Yutong Wu
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
| | - Jiongjiong Wang
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
| | - Xiangjuan Zhao
- Department of gynecology, Maternal and Child Health Care Hospital of Shandong Province, Jinan, 250014 Shandong China
| | - Yunxia Liu
- grid.27255.370000 0004 1761 1174Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.27255.370000 0004 1761 1174Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250000 Shandong China
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Ronaldson A, Arias de la Torre J, Prina M, Armstrong D, Das-Munshi J, Hatch S, Stewart R, Hotopf M, Dregan A. Associations between physical multimorbidity patterns and common mental health disorders in middle-aged adults: A prospective analysis using data from the UK Biobank. LANCET REGIONAL HEALTH-EUROPE 2021; 8:100149. [PMID: 34557851 PMCID: PMC8447568 DOI: 10.1016/j.lanepe.2021.100149] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background We aimed to identify specific patterns of physical multimorbidity, defined as the presence of two or more physical long-term conditions, and to examine the extent to which these specific patterns could predict future incident and persistent common mental health disorders (CMDs) in middle-aged adults enrolled in the UK Biobank. Methods We assessed prospective associations between physical multimorbidity status at the baseline assessment (2006–2010) and depression and anxiety ‘caseness’ according to the Patient Health Questionnaire (PHQ)-9 and the Generalised Anxiety Disorder Assessment (GAD)-7 at the follow-up assessment (2016) in 154,367 middle-aged adults enrolled in the UK Biobank (median age: 57 years, interquartile range = 50–62 years, 56.5% female, mean duration of follow-up: 7.6 years, standard deviation = 0.87). Patterns of physical multimorbidity were identified using exploratory factor analysis. Logistic regression was used to assess prospective associations between physical multimorbidity patterns at baseline and both incident and persistent depression and anxiety at follow-up. Findings Compared to those with no physical multimorbidity, having two (adjusted odds ratio (aOR) =1.41, 95%CI 1.32 to 1.53), three (aOR = 1.94, 95%CI 1.76 to 2.14), four (aOR = 2.38, 95%CI 2.07 to 2.74), and five or more (aOR = 2.89, 95%CI 2.42 to 3.45) physical conditions was prospectively associated with incident depression at follow-up in a dose response manner. Similar trends emerged for incident anxiety, persistent depression, and persistent anxiety, but associations were strongest for incident CMDs. Regarding specific patterns of physical MM, the respiratory pattern (aOR = 3.23, 95%CI 2.44 to 4.27) and the pain/gastrointestinal pattern (aOR = 2.19, 95%CI 1.92 to 2.50) emerged as the strongest predictors of incident depression. Similar results emerged for incident anxiety. Interpretation These findings highlight patterns of physical multimorbidity with the poorest prognosis for both emerging and persisting depression and anxiety. These findings might have significant implications for the implementation of integrated mental and physical healthcare and facilitate the development of targeted preventative interventions and treatment for those with physical multimorbidity. Funding AR is supported by Guy's Charity grant number EIC180702; JAT is funded by Medical Research Council (MRC) number MR/SO28188/1; AD is funded by Guy's Charity grant number EIC180702 and MRC grant number MR/SO28188/1. JD is part supported by the ESRC Centre for Society and Mental Health at King's College London (ES/S012567/1), grants from the ESRC (ES/S002715/1), by the Health Foundation working together with the Academy of Medical Sciences, for a Clinician Scientist Fellowship, and by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London and the National Institute for Health Research (NIHR) Applied Research Collaboration South London (NIHR ARC South London) at King's College Hospital NHS Foundation Trust. The views expressed are those of the author[s] and not necessarily those of the ESRC, NIHR, the Department of Health and Social Care or King's College London.
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Affiliation(s)
- Amy Ronaldson
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Jorge Arias de la Torre
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of Leon, Leon, Spain
| | - Matthew Prina
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - David Armstrong
- Department of Primary Care and Public Health Sciences, King's College London, London, UK
| | - Jayati Das-Munshi
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,ESRC Centre for Society and Mental Health, King's College London, London, UK.,South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Stephani Hatch
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Rob Stewart
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Matthew Hotopf
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Alexandru Dregan
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
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Triolo F, Harber-Aschan L, Belvederi Murri M, Calderón-Larrañaga A, Vetrano DL, Sjöberg L, Marengoni A, Dekhtyar S. The complex interplay between depression and multimorbidity in late life: risks and pathways. Mech Ageing Dev 2020; 192:111383. [DOI: 10.1016/j.mad.2020.111383] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/14/2020] [Accepted: 10/05/2020] [Indexed: 12/20/2022]
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Hsu WC, Wang JY, Tsai AC. Predictors of developing a new need for long-term care of older adults aged ≥70 years: Results from a population-based cohort study in Taiwan. Geriatr Gerontol Int 2019; 19:641-646. [PMID: 31099138 DOI: 10.1111/ggi.13684] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 04/03/2019] [Accepted: 04/15/2019] [Indexed: 12/17/2022]
Abstract
AIM To determine the characteristics associated with developing a new need for long-term care among older Taiwanese adults. METHODS We analyzed the 1999 and 2003 datasets of the Taiwan Longitudinal Survey on Aging. A total of 1986 persons who were aged ≥70 years and had no disability in activities of daily living or need for long-term care at the baseline served as the study participants. We first identified the potential variables associated with developing a need for long-term care in demographic, socioeconomic, anthropometric, functional status, mental health, medical and global domains based on the literature and our earlier studies. We then carried out univariable logistic regression analyses to identify the variables most strongly associated with developing a new need for long-term care within each domain. Variables showing the strongest association were further analyzed in a forward stepwise multivariable logistic regression model to determine the significant predictors. RESULTS The multivariable model identified age, sex, doing heavy housework, walking 200 m, carrying out calculation, appetite status, frequency of hospitalizations during the past 12 months, living arrangement and weight loss as significant (P < 0.05) predictors. CONCLUSIONS The present study identified nine characteristics that predict the subsequent 4-year new need for long-term care of ≥70-year-old Taiwanese adults. Age, sex and functional status are the most powerful predictors. The results are useful for identifying older individuals at risk of developing a new need for long-term care within the next 4 years, enabling implementation of preventive strategies or timely care planning. Geriatr Gerontol Int 2019; 19: 641-646.
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Affiliation(s)
- Wei-Chung Hsu
- Department of Healthcare Administration, Asia University, Taichung, Taiwan.,Department of Occupational Therapy, Asia University, Taichung, Taiwan.,Department of Radiation Oncology, Chung-Kang Branch, Cheng-Ching General Hospital, Taichung, Taiwan
| | - Jiun-Yi Wang
- Department of Healthcare Administration, Asia University, Taichung, Taiwan.,Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Alan C Tsai
- Department of Healthcare Administration, Asia University, Taichung, Taiwan.,Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
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Huang CY, Hsieh YM, Lai HL. Effect of Stimulative and Sedative Music Videos on Depressive Symptoms and Physiological Relaxation in Older Adults: A Pilot Study. Res Gerontol Nurs 2017; 9:233-42. [PMID: 27637111 DOI: 10.3928/19404921-20160906-02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 07/20/2016] [Indexed: 01/22/2023]
Abstract
Music has been found to improve depressive symptoms and relaxation. However, few studies related to this issue have been conducted using music videos (MVs). The aim was to compare the effects of stimulative and sedative MVs on depressive symptoms and physiological relaxation (i.e., electromyography, heart rate variability, and skin conductance) in older adults with depressive symptoms. Using a 2-week crossover design, interventions alternated between watching a stimulative and sedative MV and vice versa. Each intervention lasted for 30 minutes on 1 day during the first week, and was then alternated to another intervention for 1 day during the following week. Stimulative MVs were more effective in treating depressive symptoms than sedative MVs. Stimulative and sedative MVs had beneficial effects on depressive symptoms and physiological relaxation compared with baseline data. These findings add new knowledge to the literature for health care providers to improve psychophysiological health in older adults with depressive symptoms. [Res Gerontol Nurs. 2016; 9(5):233-242.].
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