Dataset Information

Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation.

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.

SUBMITTER: Ho HE

PROVIDER: S-EPMC10045862 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation.

Ho Hsin-En HE Yeh Chih-Jung CJ Cheng-Chung Wei James J Chu Wei-Min WM Lee Meng-Chih MC

BMC geriatrics 20230327 1

<h4>Background</h4>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.<h4>Metho ...[more]

PMID: 36973699

Similar Datasets

Project description:As relatively little is known about self-efficacy and social support in individuals aged 65 years and older and whether they are facing a decline in life due to multimorbidity and previous COVID-19 infection, this study investigated hypotheses based on Social Cognitive Theory. It was tested whether depressive symptoms in multimorbid patients who were hospitalized for COVID-19 infection, and recover post infection during their hospital stay, do not differ from those of multimorbid patients hospitalized for other conditions. Furthermore, we tested whether depressive symptoms are associated with increased loneliness scores, low self-efficacy beliefs, and poorly perceived social support. Additionally, it was investigated whether self-efficacy is a mediator variable, and social support is a moderator variable between loneliness and depression. N = 135 patients with or without previous COVID-19 infection (mean age 64.76) were recruited. Paper questionnaires were collected at the time of inpatient hospital admission in the year 2021 and in a cross-sectional study design. The study compared n = 45 multimorbid patients who survived COVID-19 infection with those n = 90 who were not infected before. No significant difference in depressive symptomology between these two groups revealed [t(133) = 130, p = 0.90, d = 0.024); F(3, 122) = 0.255, p = 0.86]. The study found a positive correlation between loneliness and anxiety and depression in both groups (rdepression = 0.419 and ranxiety = 0.496). Self-efficacy mediated the relation between loneliness and depression. The completely standardized indirect effect was β = 0.111, percentile Bootstrap 95% CI 0.027-0.201. The research findings suggest the importance of self-efficacy, and loneliness in the development of depressive symptoms, and have several practical implications for improving the mental health of multimorbid patients: Prospectively, treatment should not only focus on physical and cognitive health, but also on promoting self-efficacy and perceived social support, as well as address loneliness with psychoeducational interventions. Replication of the findings and conducting interventional research also employing lifestyle components should follow up, as this study tested associations but no causal relationships.

Project description:BackgroundMental health challenges are encountered by frail older adults as the population ages. The extant literature is scant regarding the correlation between depressive symptoms and social participation among frail older adults.MethodsThis study is based on an analysis of data from China Health and Retirement Longitudinal Study (CHARLS) participants aged 60 and older who are frail. A frailty index (FI) was developed for the purpose of assessing the frailty level of the participants. Additionally, latent class analysis (LCA) was employed to classify the participants' social engagement patterns in 2015 and 2018. The study used ordered logistic regression to examine the relationship between social participation type and depressive symptoms. We also used Latent Transition Analysis (LTA) methods to explore the impact of changes in social activity types on depressive symptoms after three years of follow-up in 2018. In addition, the response surface analysis (RSM) investigation explored the relationship among FI, depression, and social participation.ResultsA total of 4,384 participants completed the baseline survey; three years later, 3,483 were included in the follow-up cohort. The baseline survey indicates that female older adults in rural areas who are single, have lower incomes, shorter sleep durations, and lighter weights exhibited more severe depressive symptoms. Social participation patterns were categorized into five subgroups by LCA. The findings indicate that individuals classified as "board game enthusiasts" (OR, 0.62; 95% CI, 0.47-0.82) and those as "extensive social interaction" (OR,0.67; 95% CI, 0.49-0.90) have a significantly lower likelihood of developing depressive symptoms compared to the "socially isolated" group. We also discovered that "socially isolated" baseline participants who transitioned to the "helpful individual" group after three years had significantly greater depressed symptoms (OR, 1.56; 95% CI, 1.00-2.44). More social activity types and less FI are linked to lower depression in our study.ConclusionThe results of the study emphasize the importance of social participation patterns and the number of social participation types in relation to the severity of depression among frail older adults individuals. This study's findings may provide important insights for addressing depressive symptoms in frail older adults person.

Project description:Background: Limited research has examined how older adults' lifestyles intersect with multimorbidity to influence mortality risk. Methods: In this community-dwelling prospective cohort, the Sydney Memory and Ageing Study, principal component analysis was used to identify lifestyle patterns using baseline self-reported data on nutrition, lifestyle factors, and social engagement activities. Multimorbidity was defined by self-reported physician diagnoses. Multivariable logistic regression was used to estimate odds ratios (ORs) for multimorbidity cross-sectionally, and Cox proportional hazards models were used to assess hazard ratios (HRs) for mortality risk longitudinally. Results: Of 895 participants (mean age: 78.2 years; 56.3% female) with complete lifestyle data, 597 had multimorbidity. Two distinct lifestyle patterns emerged: (i) a nutrition pattern characterised by higher intakes of protein, fibre, iron, zinc, magnesium, potassium, and folate, and (ii) an exercise-sleep-social pattern marked by weekly physical activities like bowling, bicycling, sleep quality (low snoring/sleepiness), and high social engagement. Neither pattern was associated with multimorbidity cross-sectionally. Over a median 5.8-year follow-up (n = 869; 140 deaths), participants in the upper tertiles for combined lifestyle pattern scores had a 20% lower mortality risk than those in the lowest tertile [adjusted HR: 0.80 (95% CI: 0.65-0.97); p-trend = 0.02]. This association was stronger in participants with multimorbidity, with a 29% lower risk [0.71 (0.56-0.89); p-trend = 0.01], likely due to multimorbidity modifying the relationship between nutrition and mortality risk (p-interaction < 0.05). While multimorbidity did not modify the relationship between the exercise-sleep-social pattern and risk of mortality, it was consistently associated with a 19-20% lower risk (p-trend < 0.03), regardless of the multimorbidity status. Conclusions: Older adults with multimorbidity may particularly benefit from adopting healthy lifestyles focusing on nutrition, physical activity, sleep quality, and social engagement to reduce their mortality risk.

Project description:ObjectiveThe aim of this study was to assess the impact of the burden and patterns of multimorbidity on disability domains.DesignIn a cross-sectional study of 425 older adults from the Boston Rehabilitative Impairment Study of the Elderly, participants self-reported 13 chronic conditions and underwent assessment of body function (leg strength, velocity, and power, trunk extensor endurance, leg range of motion, foot sensation), activities (400-m walk test, Short Physical Performance Battery, Late Life Function and Disability Instrument function scores) and participation (Late Life Function and Disability Instrument participation scores). The association between multimorbidity patterns (identified by latent class analysis) and disablement measures, as well as multimorbidity burden (captured by a multimorbidity score) and disablement measures, was tested.ResultsLatent class analysis identified three classes-low multimorbidity, high multimorbidity, and predominantly musculoskeletal conditions. Class membership (multimorbidity pattern) was not associated with disablement measures, but multimorbidity score was associated with poor performance in all domains. A 1-point higher multimorbidity score was associated with lower scores in body functions (by 0.06 SD unit), activities (0.07-0.10 SD units), as well as participation (0.07-0.09 units).ConclusionMultimorbidity counts may be an excellent tool for risk stratification and identification of persons in need of rehabilitation.To claim cme creditsComplete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME CME OBJECTIVES: Upon completion of this article, the reader should be able to (1) describe and distinguish the effect of multimorbidity burden and multimorbidity patterns on three disability domains in older adults; (2) identify and discuss possible reasons why high multimorbidity burden may result in a restriction among social participation in older adults; and (3) detect disability risk among older patients during clinical assessment by using a simple count of common chronic conditions.LevelAdvanced ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Dataset Information

Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation.

Background

Methods

Results

Conclusion

Publications

Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets