Age, gender, and residence differences in prevalence and patterns of multimorbidity among older Chinese: Evidence from Chinese Longitudinal Healthy Longevity Survey

Background With the dramatic acceleration of ageing in China, multimorbidity among the older adults has become increasingly common，which are associated with more functional decline and higher health care utilization and mortality. Understanding demographic differences of patterns of multimorbidity is in favor of making targeted intervention strategies. The purpose of this study was to reveal age- specific, gender- specific, and residence- specific prevalence and patterns of multimorbidity among older adults in China. Methods The present analysis is based on the 2018 wave of Chinese Longitudinal Health Longevity Survey (CLHLS). We selected 13 chronic diseases from the CLHLS survey, and information was collected based on self-report. Multimorbidity was defined as the coexistence of two or more chronic diseases from 13 chronic diseases in the same individual. Descriptive statistical analysis was used to examine multimorbidity according to age, sex, and residence. Patterns and trends of chronic disease pairs and multimorbidity were explored using association rule mining. Results 9,660 individuals aged 65-117 years in the CLHLS were analyzed in this study. Overall, 74.4% of all participants had one or more morbidities, and 42.4% were multimorbid. The prevalence of individual chronic diseases ranged from 1.5% for cancer to 41.8% for hypertension, and each disease was often accompanied by one or more other chronic diseases. The prevalence of multimorbidity does not always increase with age. The subgroups with the highest prevalence of multimorbidity was 80-89 years old (48.2%), female (45.0%) and urban (47.2%) group. Prevalence of the hypertension- diabetes pattern decreases with age and is higher in women than in men. The prevalence of hypertension- depression pattern was at the highest among the 90-117 years and rural older adults, while the other groups were hypertension-heart disease. Moreover, it was noteworthy that the multimorbidity rate of dyslipidemia is the highest at 95.5% among the 13 chronic diseases. Conclusions The prevalence of multimorbidity among older Chinese was substantial, and patterns of multimorbidity differed in age, sex, and residence. Future efforts are needed to identify possible prevention strategies and guidelines targeted demographic differences of multimorbid patients to promote health in older adults.

Association Between Neutrophil–Lymphocyte Ratio and Frailty: The Chinese Longitudinal Healthy Longevity Survey

Background: Inflammation has been reported to play an important role in frailty syndrome. The neutrophil–lymphocyte ratio (NLR) has recently emerged as an informative marker for systematic inflammation. However, few studies have examined the association between NLR and frailty. This study aims to examine the association between NLR and frailty in community-dwelling older adults.Methods: Community-dwelling older adults aged ≥ 65 years in the 2011 (n = 2,354) and 2014 (n = 2,458) waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included. Frailty status was determined using the 38-item frailty index (FI) and categorized into “robust” (FI ≤ 0.1), “pre-frail” (0.1 < FI ≤ 0.21), or “frail” (FI > 0.21). NLR was calculated using a derived formula: NLR = (white blood cell–lymphocyte)/lymphocyte.Results: A total of 3,267 participants were finally included. In cross-sectional analyses, participants with higher NLR levels had increased likelihood of frailty [the 3rd quartile: adjusted odds ratio (OR) = 1.29; 95% confidence interval (CI): 1.02–1.63; the 4th quartile: OR = 1.59; 95% CI: 1.23–2.02) compared with those in the 1st quartile group. During the 3-year follow-up, 164 of the 1,206 participants, robust or pre-frail at baseline, developed frailty, and 197 of the 562 participants, robust at baseline, developed pre-frailty or frailty. Among the robust and pre-frail participants in 2011, after multivariate adjustment, those in the 4th quartile group had a higher frailty incidence than those in the 1st quartile group (OR = 2.06; 95% CI: 1.18–3.59). Among the robust participants in 2011, those in the 4th quartile group also had a higher pre-frailty or frailty incidence than those in the 1st quartile group (OR = 1.95; 95% CI: 1.07–3.55).Conclusion: Among community-dwelling older adults, higher NLR levels were found to be associated with increased odds of prevalent and incident frailty.

microRNA-252 and FoxO repress inflammaging by a dual inhibitory mechanism on Dawdle mediated TGF-β pathway in Drosophila

Inflammaging refers to low-grade, chronically activated innate immunity that has deleterious effects on healthy lifespan. However, little is known about the intrinsic signaling pathway that elicits innate immune genes during aging. Here using Drosophila melanogaster, we profile the microRNA targetomes in young and aged animals, and reveal Dawdle (Daw), an activin-like ligand of the TGF-β pathway, as a physiological target of microRNA-252 (miR-252). We show that miR-252 cooperates with Forkhead box O (FoxO), a conserved transcriptional factor implicated in aging, to repress Daw. Unopposed Daw triggers hyper activation of innate immune genes coupled with a decline in organismal survival. Using adult muscle tissues, single-cell sequencing analysis describes that Daw and its downstream innate immune genes are expressed in distinct cell types, suggesting a cell non-autonomous mode of regulation. We further determine the genetic cascade by which Daw signaling leads to increased Kenny/IKKγ protein, which in turn activates Relish/NF-κB protein and consequentially innate immune genes. Finally, transgenic increase of miR-252 and FoxO pathway factors in wild-type Drosophila extends lifespan and mitigates the induction of innate immune genes in aging. Together, we propose that miR-252 and FoxO promote healthy longevity by cooperative inhibition on Daw mediated inflammaging.

Place of Residence and Cognitive Function in Older Adults in China: The Mediating Role of Social Participation

Background: Cognitive impairment is a severe health problem faced by older adults and their families, as well as the countries in which they live. Differences in place of residence may contribute to differences in the cognitive function of older adults, and the mediating effect of social participation has rarely been studied in China. Methods: A total of 10,014 older adult participants were included, using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Place of residence was described as either a city, town, or rural area. The frequency of participation in organized social activities and visits and interactions with friends was used to assess both formal and informal social participation. The Chinese version of a Mini-Mental State Examination (MMSE) was used as a measure of cognitive function. The mediation analysis was conducted using Hayes’ process version 3.4 on SPSS (IBM, Armonk, NY, USA). Results: Place of residence had a negative effect on cognitive function in older adults. The mediating functions of both informal (a1b1 = 0.199) and formal (a2b2 = −0.056) social participation indicate a suppression effect on the part of informal social participation and a partial mediation effect on the part of formal social participation in terms of the association between place of residence and cognitive function in older adults. Promoting both informal and formal social participation seems to be an important strategy for preventing a decline in the cognitive function of older adults, especially for those living in rural areas.

Generalized Zero-Adjusted Models to Predict Medical Expenditures

In healthcare research, medical expenditure data for the elderly are typically semicontinuous and right-skewed, which involve a point mass at zero and may exhibit heteroscedasticity. The problem of a substantial proportion of zero values prevents traditional regression techniques based on the Gaussian, gamma, or inverse Gaussian distribution, which may lead to understanding the standard errors of the parameters and overestimating their significance. A common way to counter the problem is using zero-adjusted models. However, due to the right-skewness in the nonzeros’ response, conventional zero-adjusted models such as zero-adjusted gamma, zero-adjusted Inverse Gaussian, and classic Tobit may not perform well. Here, we firstly generalize those three types of the conventional zero-adjusted model to solve the problem of right-skewness in health care. The generalized zero-adjusted models are very flexible and include the zero-adjusted Weibull, zero-adjusted gamma, zero-adjusted inverse Gaussian, and classic Tobit models as their special cases. Using the Chinese Longitudinal Healthy Longevity Survey, we find that, according to the AIC, SBC, and deviance criteria, the zero-adjusted generalized gamma model is the best one of these generalized models to predict the odds of zero cost accurately. In order to depict the predictors affecting the amount expenditure, we further discuss the situations where the mean, dispersion of a nonzero amount expenditure and model the probability of a zero amount of ZAGG in terms of predictor variables using suitable link functions, respectively. Our analysis shows that age, health, chronic diseases, household income, and residence are the main factors influencing the medical expenditure for the elderly, but the insurance is not significant. To the best of our knowledge, little study focused on these situations, and this is the first time.

Functional disability with systematic trends and uncertainty: a comparison between China and the US

China and the US are two contrasting countries in terms of functional disability and long-term care. China is experiencing declining family support for long-term care and developing private long-term care insurance. The US has a more developed public aged care system and private long-term care insurance market than China. Changes in the demand for long-term care are driven by the levels, trends and uncertainty in mortality and functional disability. To understand the future potential demand for long-term care, we compare mortality and functional disability experiences in China and the US, using a multi-state latent factor intensity model with time trends and systematic uncertainty in transition rates. We estimate the model with the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and the US Health and Retirement Study (HRS) data. The estimation results show that if trends continue, both countries will experience longevity improvement with morbidity compression and a declining proportion of the older population with functional disability. Although the elderly Chinese have a shorter estimated life expectancy, they are expected to spend a smaller proportion of their future lifetime functionally disabled than the elderly Americans. Systematic uncertainty is shown to be significant in future trends in disability rates and our model estimates higher uncertainty in trends for the Chinese elderly, especially for urban residents.

The Association Between Regular Physical Exercise, Sleep Patterns, Fasting, and Autophagy for Healthy Longevity and Well-Being: A Narrative Review

This narrative review of the literature assessed whether regular physical exercise and sleep patterns, fasting and autophagy, altogether can be an adequate strategy for achieving healthy longevity and well-being within different stage of life. There are a large number of studies dealing with well-being and healthy longevity; however, few of them have given us a specific formula for how to live long and healthy. Despite all the advances that have been made to create adequate physical exercise programs, sleep patterns or nutritional protocols, the relation between different types of fasting, nutritional supplementation as well as regular physical exercise and sleep patterns have not yet been satisfactorily resolved to cause the best effects of autophagy and, therefore, well-being and healthy longevity. In this way, future studies should clarify more efficiently the relationship between these variables to understand the association between regular physical exercise, sleep patterns, fasting and autophagy for healthy longevity and well-being.