Arthritis, physical function, and disability among older Mexican Americans over 23 years of follow-up

The effect of multimorbidity patterns on physical and cognitive function in diabetes patients: a longitudinal cohort of middle-aged and older adults in China

Background

The prevalence of diabetes has increased rapidly, and comorbid chronic conditions are common among diabetes patients. However, little is known about the pattern of multimorbidity in diabetes patients and the effect on physical and cognitive function. This study aimed to assess the disease clusters and patterns of multimorbidity in diabetes patients using a novel latent class analysis (LCA) approach in middle-aged and older adults and explore the association between different clusters of multimorbidity in diabetes and the effect on physical and cognitive function.

Methods

This national observational study included 1,985 diabetes patients from the four waves of the China Health and Retirement Longitudinal Study (CHARLS) in 2011 to 2018. Thirteen chronic diseases were used in latent class analysis to identify the patterns of multimorbidity in diabetes, which span the cardiovascular, physical, psychological, and metabolic systems. Cognitive function is assessed via a structured questionnaire in three domains: memory, executive function, and orientation. We combined activities of daily living (ADL) with instrumental activities of daily living (IADL) to measure physical function. Linear mixed models and negative binomial regression models were used to analyze the association between patterns of multimorbidity in diabetes and the effect on cognitive function and disability, respectively.

Results

A sample of 1,985 diabetic patients was identified, of which 1,889 (95.2%) had multimorbidity; their average age was 60.6 years (standard deviation (SD) = 9.5), and 53.1% were women. Three clusters were identified: "cardio-metabolic" (n = 972, 51.5%), "mental-dyslipidemia-arthritis" (n = 584, 30.9%), and "multisystem morbidity" (n = 333, 17.6%). Compared with diabetes alone, the "multisystem morbidity" class had an increased association with global cognitive decline. All patterns of multimorbidity were associated with an increased risk of memory decline and disability; however, the "multisystem morbidity" group also had the strongest association and presented a higher ADL-IADL disability (ratio = 4.22, 95% CI = 2.52, 7.08) and decline in memory Z scores (β = -0.322, 95% CI = -0.550, -0.095, p = 0.0058).

Conclusion

Significant longitudinal associations between different patterns of multimorbidity in diabetes patients and memory decline and disability were observed in this study. Future studies are needed to understand the underlying mechanisms and common risk factors for multimorbidity in diabetes patients and to propose treatments that are more effective.

Longitudinal relationship between social participation, depressive symptoms, and activity impairment among older patients with arthritis: a moderated mediation analysis

BACKGROUND

Arthritis primarily affects older people and is a prominent cause of their activity impairment. This study aimed to examine the mediating role of depressive symptoms in the relationship between social participation and activity impairment, as well as to determine whether sex moderated the mediating effect.

METHODS

A total of 2247 older patients with arthritis were included from the China Health and Retirement Longitudinal Study between 2015 and 2018. We first examined a simple mediation model where depressive symptoms were a mediator between social participation and activity impairment. Furthermore, sex was systematically integrated into the model as a moderator. The mediation model and moderated mediation model were analyzed using PROCESS macro.

RESULTS

Mediation analysis revealed that the association between social participation and activity impairment was partially mediated by depressive symptoms (B = -0.10, 95% CI = [-0.14, -0.06]) with intermediary effect of 28.6%. Moderated mediation analysis indicated that mediation model was moderated by sex. The indirect effect of social participation on activity impairment among female patients (B = -0.15, 95% CI = [-0.21, -0.09]) was stronger than male patients (B = -0.04, 95% CI = [-0.09, -0.01]).

CONCLUSION

Social participation was the key protective factor associated with depressive symptoms and activity impairment among arthritis patients. Encouraging arthritis patients to social participation and improving the depressive symptoms might avoid activity impairment, especially for female patients.

Depressive symptom trajectories and new-onset arthritis in a middle-aged and elderly Chinese population

OBJECTIVE

Previous studies reported that depression was associated with a high risk of arthritis. However, the effect of different long-term depressive symptom trajectory patterns on the risk of arthritis has not been evaluated. Our study aimed to explore the association between depressive symptom trajectories and the risk of arthritis.

METHODS

A total of 5583 participants from the China Health and Retirement Longitudinal Study from 2011 to 2018 were included in this analysis. Group-based trajectory modeling was used to identify depressive symptom trajectories, and a multivariable competitive Cox regression model was used to examine the association of depressive symptom trajectories with arthritis during follow-up.

RESULTS

Five depressive symptom trajectories were identified in our research: stable-high, decreasing, increasing, stable-moderate and stable-low. Compared with participants in the stable-low trajectory group, those in the stable-moderate, increasing, decreasing and stable-high trajectory groups had a higher cumulative risk of arthritis, with HRs (95% CIs) for arthritis of 1.64 (1.30, 2.07), 1.86 (1.30, 2.66), 1.99 (1.41, 2.80) and 2.19 (1.38, 3.48), respectively. Participants with the stable-high symptoms trajectory had the highest cumulative risk of arthritis. There was still a high risk of arthritis, although the depression state was reduced and remained at a level that is generally considered reasonable.

CONCLUSIONS

The higher depressive symptoms trajectories were significantly associated with the increased risk of arthritis, and the long-term depressive symptoms trajectories may be a strong predictor of having arthritis.

Influencing factors of weak grip strength and fall: a study based on the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

Fall is a major cause of mortality and cause a significant burden on the healthcare system and economic system. Weak grip strength signifies impaired function. Older people with weak grip strength are at a higher risk of death. China has the largest ageing population in the world today. This study aims to analyze the factors contributing to weak grip strength and fall among Chinese.

METHODS

This study analyzed data from the 2011 baseline and 2015 follow-up survey of the China Health and Retirement Longitudinal Study (CHARLS). To identify the risk factors of fall and weak grip strength, we used a stepwise multivariable logistic regression model and a least absolute shrinkage and selection operator (LASSO) regression model.

RESULTS

In the LASSO regression model, all the risk factors were not shrunken. In the stepwise logistic regression model, adjusted for gender, age, grip strength, depression, and chronic disease, we found that female (aOR = 1.376, 95% CI = 1.243-1.523; P < 0.001), history of ischemic stroke (aOR = 1.786, 95% CI = 1.263-2.524; P = 0.001), depression (aOR = 1.559, 95% CI = 1.396-1.742; P < 0.001), weak grip strength (aOR = 1.285, 95% CI = 1.105-1.494; P = 0.001), older age (aOR = 1.227, 95% CI = 1.163-1.294; P < 0.001), rheumatoid arthritis (aOR = 1.410, 95% CI = 1.270-1.560; P < 0.001), history of kidney disease (aOR = 1.383, 95% CI = 1.136-1.682; P = 0.001) were factors associated with fall significantly. After further adjusting, we found the risk factors of weak grip strength included symptomatic knee osteoarthritis (aOR = 1.755, 95% CI 1.158-2.661; P = 0.008), living in rural area (aOR = 2.056, 95% CI 1.290-3.277; P = 0.002), depression (aOR = 1.523, 95% CI 1.116-2.078; P = 0.008), older age (aOR = 2.116, 95% CI 1.801-2.486; P < 0.001).

CONCLUSION

From the study, we found that older age and depression were risk factors of weak grip strength and fall. Weak grip strength was a risk factor of fall. Female, ischemic stroke, kidney disease, rheumatoid arthritis were risk factors of fall; living in rural area and symptomatic knee osteoarthritis were risk factors of weak grip strength.

Adverse Childhood Experiences and Trajectories of ADL Disability among Middle-Aged and Older Adults in China: Findings from the CHARLS Cohort Study

OBJECTIVES

There is little evidence on the association between adverse childhood experiences (ACEs) and disability trajectories among middle-aged and older adults. This study aimed to investigate the association between ACEs and activities of daily living (ADL) trajectories over eight years of follow-up and the mediation role of different chronic diseases on this relationship.

DESIGN

Prospective cohort study, eight-year follow-up.

SETTING

China Health and Retirement Longitudinal Study(CHARLS).

PARTICIPANTS

A total of 10651 participants age 45 and over from CHARLS 2011 to 2018 were included in this study.

MEASUREMENTS

Five ACEs exposure groups were formed based on the cumulative ACE scores. A 6-item ADL score was used, including bathing, dressing, eating, getting in/out of bed, using the toilet, and controlling urination, to measure the ADL disability, and the group-based trajectory model (GBTM) was used to identify the ADL disability trajectories. Multinomial logistic regression was performed to investigate the association between ACEs and ADL disability trajectory memberships, and KHB-method was used to estimate the contribution of different chronic diseases on this relationship.

RESULTS

Of the 10651 participants, 9.64% showed a mild-increasing trajectory in terms of change in ADL score during follow-up, followed by the low-mild trajectory (32.00%) and low-low trajectory (58.36%). Compared with those without ACEs exposure, participants who had ≥4 ACEs were associated with an increased risk of being on low-mild trajectory (OR 1.32, 95%CI:1.11-1.57) and mild-increasing trajectory (OR 1.41, 95%CI: 1.06-1.89), respectively. Besides, mediation analysis revealed chronic diseases had a mediation effect in this association, with the largest effect from arthritis or rheumatism (over 60%), followed by digestive system disease (around 14%), respiratory disease (around 12%), and cardio-metabolic disease (around 5%).

CONCLUSION

This study suggested that exposure to ACEs was associated with a higher risk of being worse ADL disability trajectories. Moreover, chronic disease accounts for a meaningful proportion of this association. Further studies are needed to clarify how chronic diseases mediate the association between ACEs and ADL disability trajectories.