Sex-specific patterns and lifetime risk of multimorbidity in the general population: a 23-year prospective cohort study

Association between healthy eating and depression symptoms among Chinese older adults: A cross-sectional study based on the Chinese Longitudinal Healthy Longevity survey

Introduction

This study aimed to assess the relationship between the healthy eating index (HEI) and depression symptoms in an older adult population using the Chinese Longevity Health Survey.

Methods

The HEI was constructed based on the frequency of intake of 13 dietary variables, with higher scores indicating better diet quality. Depression symptoms was assessed by the Center for Epidemiologic Studies Depression-10 scale. We used multivariate binary logistic regression to explore the association between the HEI and depression symptoms and reported as odds ratio (OR) and 95 % confidence interval (95 % CI).

Results

A total of 12,078 older adults were included. The average HEI for this group of older adults was 26.4 ± 7.1. After adjusting for covariates, compared with participants in the lowest quartile of a healthy eating index, those in the second to the fourth quartile group had a 0.93- (95 % CI: 0.83 to 1.03), 0.84- (95 % CI: 0.75 to 0.95) and 0.69- (95 % CI: 0.62 to 0.77) fold risk of depression symptoms, respectively. Restricted cubic spline curves showed that the risk of depression symptoms decreased with increasing HEI, especially above 26, and for each unit increase in the HEI, the risk of depression symptoms in older adults decreased by 3 % (OR = 0.97; 95 % CI: 0.96 to 0.99).

Conclusions

This study found an association between higher levels of the HEI and reduced risk of depression symptoms in older Chinese adults. This result emphasizes the need to focus on dietary diversity in older adults to promote healthy aging.

Relationship between the health poverty vulnerability and multimorbidity patterns identified with latent class analysis aged 45 years or more adults in Northwestern China: A cross-section study

This study aims to identify multimorbidity patterns and examine whether health poverty vulnerability (HPV) varies among adults aged 45 years or more. Data from 4338 participants were extracted from a Chinese cross-sectional study. Latent class analysis was used to identify multimorbidity patterns based on 11 self-reported chronic diseases. A 3-stage feasible generalized least-squares method was used to measure the HPV. The associations and influencing factors were analyzed using the Tobit model. The mean HPV values were 0.105 ± 0.225 and 0.329 ± 0.357, based on extreme poverty and those of low- and middle-income countries' poverty line, respectively. Four latent multimorbidity patterns were identified, comprising hypertension (57.33%), cardiovascular diseases (19.94%), the musculoskeletal system (13.09%), and spine (9.64%). The HPV value from hypertension (coefficient [Coef] =0.03, 95% confidence interval (CI) = 0.00-0.05) was significantly higher than that of the musculoskeletal system based on extreme poverty. In addition, the HPV values for hypertension (Coef =0.08, 95% CI = 0.05-0.11), spine (Coef =0.06, 95% CI = 0.02-0.11), and cardiovascular diseases (Coef =0.07, 95% CI = 0.03-0.11) were significantly high based on low- and middle-income countries' poverty line. Age ≥75 years, registered poor households, catastrophic medical expenditure, and toilet style were major risk factors. Although the multimorbidity pattern-induced HPV has been significant improved on extreme poverty, it still poses a very serious challenge with regard to low- to middle-income countries' poverty line. The sensitivity analysis proved the robustness of the results. Policymakers should focus on adults with 3 multimorbidity patterns, namely, registered poor households, age ≥75 years, and catastrophic health expenditure, to adopt targeted interventions to prevent and eliminate HPV.

Aortic Stiffness: A Major Risk Factor for Multimorbidity in the Elderly

Multimorbidity, the coexistence of multiple health conditions in an individual, has emerged as one of the greatest challenges facing health services, and this crisis is partly driven by the aging population. Aging is associated with increased aortic stiffness (AoStiff), which in turn is linked with several morbidities frequently affecting and having disastrous consequences for the elderly. These include hypertension, ischemic heart disease, heart failure, atrial fibrillation, chronic kidney disease, anemia, ischemic stroke, and dementia. Two or more of these disorders (multimorbidity) often coexist in the same elderly patient and the specific multimorbidity pattern depends on several factors including sex, ethnicity, common morbidity routes, morbidity interactions, and genomics. Regular exercise, salt restriction, statins in patients at high atherosclerotic risk, and stringent blood pressure control are interventions that delay progression of AoStiff and most likely decrease multimorbidity in the elderly.

How Can a Bundled Payment Model Incentivize the Transition from Single-Disease Management to Person-Centred and Integrated Care for Chronic Diseases in the Netherlands?

To stimulate the integration of chronic care across disciplines, the Netherlands has implemented single-disease management programmes (SDMPs) in primary care since 2010; for example, for COPD, type 2 diabetes mellitus, and cardiovascular diseases. These disease-specific chronic care programmes are funded by bundled payments. For chronically ill patients with multimorbidity or with problems in other domains of health, this approach was shown to be less fit for purpose. As a result, we are currently witnessing several initiatives to broaden the scope of these programmes, aiming to provide truly person-centred integrated care (PC-IC). This raises the question if it is possible to design a payment model that would support this transition. We present an alternative payment model that combines a person-centred bundled payment with a shared savings model and pay-for-performance elements. Based on theoretical reasoning and results of previous evaluation studies, we expect the proposed payment model to stimulate integration of person-centred care between primary healthcare providers, secondary healthcare providers, and the social care domain. We also expect it to incentivise cost-conscious provider-behaviour, while safeguarding the quality of care, provided that adequate risk-mitigating actions, such as case-mix adjustment and cost-capping, are taken.