Association between social determinants of health and direct economic burden on middle-aged and elderly individuals living with diabetes in China

Depressive symptoms of older adults with chronic diseases: the mediating roles of activities of daily living and economic burden of diseases

Objective

To explore the mediating roles of activities of daily living (ADL) and economic burden of diseases in the relationship between chronic diseases and depressive symptoms of older adults.

Methods

The data were sourced from China Health and Retirement Longitudinal Study (CHARLS). The number of chronic diseases, ADL, out-of-pocket medical expenses and the Center for Epidemiological Studies Depression Scale (CES-D) were selected as measuring indexes. Mediation analysis was conducted to explore the potential mediating roles of ADL and economic burden of diseases in the association between chronic diseases and depressive symptoms.

Results

The number of chronic diseases, ADL, economic burden of diseases and depressive symptoms of older adults were significantly correlated with each other. ADL and economic burden of diseases individually mediated the relationship between the number of chronic diseases and depressive symptoms, accounting for 31.460% and 5.471% of the total effect, respectively. Additionally, ADL and economic burden of diseases demonstrated a chain mediating effect in this relationship, contributing to 0.759% of the total effect.

Conclusion

The chain-mediated model effectively elucidated the mediating roles of ADL and economic burden of diseases in the association between chronic diseases and depressive symptoms among older adults. The study underscores the need for policymakers to focus attentively on the mental health of older adults with chronic diseases. Enhancing the capacity for ADL and strengthening social security to mitigate the economic burden of diseases are recommended strategies to alleviate depressive symptoms in older adults.

Association between chronic diseases and depression in the middle-aged and older adult Chinese population-a seven-year follow-up study based on CHARLS

Background

With the aging of the Chinese population, the prevalence of depression and chronic diseases is continually growing among middle-aged and older adult people. This study aimed to investigate the association between chronic diseases and depression in this population.

Methods

Data from the China Health and Retirement Longitudinal Study (CHARLS) 2011-2018 longitudinal survey, a 7-years follow-up of 7,163 participants over 45 years old, with no depression at baseline (2011). The chronic disease status in our study was based on the self-report of the participants, and depression was defined by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). The relationship between baseline chronic disease and depression was assessed by the Kaplan-Meier method and Cox proportional hazards regression models.

Results

After 7-years follow-up, 41.2% (2,951/7163, 95% CI:40.1, 42.3%) of the participants reported depression. The analysis showed that participants with chronic diseases at baseline had a higher risk of depression and that such risk increased significantly with the number of chronic diseases suffered (1 chronic disease: HR = 1.197; 2 chronic diseases: HR = 1.310; 3 and more chronic diseases: HR = 1.397). Diabetes or high blood sugar (HR = 1.185), kidney disease (HR = 1.252), stomach or other digestive diseases (HR = 1.128), and arthritis or rheumatism (HR = 1.221) all significantly increased the risk of depression in middle-aged and older adult Chinese.

Conclusion

The present study found that suffering from different degrees of chronic diseases increased the risk of depression in middle-aged and older adult people, and these findings may benefit preventing depression and improving the quality of mental health in this group.

Latent Profile Analysis of Self-Supporting Ability among Rural Empty-Nesters in Northwestern China

The present study aimed to examine the multi-faceted self-supporting ability profiles of rural empty-nesters in northwestern China on the basis of the self-care ability, economic self-support ability, health self-maintenance ability, physical health self-maintenance ability, and psychological health self-maintenance ability using latent profile analysis. It identified the association of self-supporting ability profiles with demographic variables and sense of coherence. The analysis included 1066 participants (mean age = 70.2; SD = 4.3). The results of latent profile analysis identified three distinctive patterns of self-supporting ability―low physical health self-maintenance ability (C1, 20.5%), low psychological health self-maintenance ability (C2, 31.4%), and high social self-adaption ability (C3, 48.0%). The specific demographic variable age (p < 0.05), monthly income (p < 0.05), education level (p < 0.05), how often their children visit (p < 0.05), how often their children contact them (p < 0.05), whether they drink (p < 0.05), the frequency of physical exercise (p < 0.05), relationship with children (p < 0.05), relationship with neighbours (p < 0.05), medical insurance (p < 0.05), and the number of chronic diseases (p < 0.05) were significantly different among the identified three profiles. A statistically significant positive association existed between self-supporting ability profiles and sense of coherence (SOC) (p < 0.001). The results of multinomial logistic regression showed that a greater sense of coherence (SOC), age ≥ 80, monthly income (RMB) (RMB is the abbreviation for Renminbi) < 1000, a good relationship with neighbours, and one type of chronic disease were significantly associated with C1 when compared with C3 (p < 0.05). Furthermore, a greater SOC, their children visiting and contacting them many times per week or once per week were more significantly related to C2 than to C3 (p < 0.05). This study revealed three groups of self-supporting ability and its related predictors in empty-nesters. The predictors related to particular classes of self-supporting ability can provide information for targeted interventions to improve the self-supporting ability of empty-nesters living in rural areas.

Complications in Diabetes Mellitus: Social Determinants and Trends

Conditions that impact an individual's health are referred to as social determinants of health. Through a retrospective study (January 2017-February 2022) and statistical analysis, researchers looked at the relationship between social demands and type 2 diabetes mellitus (T2DM) diagnosis. All social demands, with the exception of childcare, were more typically documented in patients with T2DM. Prescription expense, conveyance, and health literacy were the domains with the greatest relationships. These results might help health systems and social service providers develop collaborations to help in certain areas.

Exercise motivation and quality of life among the elderly during the COVID-19 pandemic

This study aimed to investigate the motivation of participating in exercise and the impact on the quality of life among the elderly during the Covid-19 pandemic. This study used a mixed-method (quantitative and qualitative) and included 109 respondents (72 women and 37 men) to answer the questionnaires. In addition, the study included 15 participants for the qualitative phase, consisting of 8 women and 5 men from the elderly group, 1 village official, and 1 youth leader. The results showed a significant correlation between the motivation of following exercise and the quality of life among elderly.

Lower handgrip strength levels probably precede triglyceride glucose index and associated with diabetes in men not in women

AIMS/INTRODUCTION

To explore the relationship between handgrip strength per weight (HGS/W), triglyceride glucose index (TyG) and diabetes, and whether lower HGS levels precede TyG in the Chinese elderly population.

MATERIALS AND METHODS

Two linear regression models were used to explore the association of whether baseline HGS/W predicted follow-up variation of TyG or baseline TyG predicted follow-up variation of HGS/W. The logistic regression model was used to examine the relationship between baseline HGS/W and future diabetes.

RESULTS

A total of 4,561 participants in the China Health and Retirement Longitudinal Study were enrolled, of which 47.0% were men, and the mean age was 58.7 years (standard deviation 8.68 years). A lower baseline HGS/W significantly correlated with a higher level of follow-up TyG (β = -0.173, P = 0.002). The baseline level of HGS/W was significantly negatively associated with the incidence risk of diabetes (rate ratio 0.375, P = 0.004). However, in sex stratification, the statistical association between HGS/W and TyG and diabetes was only in men.

CONCLUSIONS

Our results showed that HGS/W was inversely associated with TyG and diabetes, and lower HGS/W levels preceded TyG levels in the elderly population. However, the effect was inconsistent between men and women, and the possible mechanism would require further clarification.