The Association of Age at Diagnosis of Hypertension with Cognitive Decline: the China Health and Retirement Longitudinal Study (CHARLS)

Cumulative blood pressure predicts risk of cardiovascular outcomes in middle-aged and older population

BACKGROUND

Cardiovascular disease (CVD) remains a major health concern globally, contributing to a considerable disease burden. However, few studies have considered long-term cumulative blood pressure (cBP) exposure in middle-aged and older population in China. The aim of this study was to investigate whether long-term cBP was associated with subsequent cardiovascular outcomes among participants without CVD at baseline in Chinese over 45 years old.

METHODS

6435 participants in China of the CHARLS (The China Health and Retirement Longitudinal Study) were included. Cumulative BP was calculated as the area under the curve using measurements from wave 1 (2011) to wave 2 (2013). Outcomes included CVD, heart disease and stroke.

RESULTS

During a median follow-up period of 5 years, 1101 CVD events, 826 heart disease, and 351 stroke were recorded. Each 1-SD increase in cumulative systolic blood pressure (cSBP), cumulative diastolic blood pressure (cDBP), and cumulative mean arterial pressure (cMAP) was associated with increased risk of CVD (HR, 1.12; 95%, 1.05-1.20, HR, 1.14; 95%, 1.07-1.22, HR, 1.14; 95%, 1.07-1.22), heart disease (HR, 1.05; 95%, 0.97-1.13, HR, 1.09; 95%, 1.01-1.17, HR, 1.08; 95%, 1.00-1.16) and stroke (HR, 1.35; 95%, 1.21-1.51, HR, 1.31; 95%, 1.17-1.46, HR, 1.36; 95%, 1.22-1.51). The relationship between cBP and CVD has only been found in people younger than 60 years of age. A significant association was observed for cumulative pulse pressure (cPP) with stroke (HR, 1.23; 95%, 1.10-1.38). None nonlinear relationships were identified (p-nonlinear > .05). For the prediction of cardiovascular outcomes, cBP load outperformed baseline BP in terms of C statistics (p < .001).

CONCLUSIONS

Long-term cSBP, cDBP and cMAP were associated with subsequent CVD and only found in people younger than 60 years of age, whereas cPP was associated with stroke only across all ages. Cumulative BP may provide a better prediction of cardiovascular outcomes compared with single BP measurement. Efforts are required to control long-term BP in assessing cardiovascular risks.

Association of smoke exposure with cognitive function trajectories among middle and old-aged adults: evidence from the China Health and Retirement Longitudinal Study

Background

The prevalence of cognitive impairment among middle-aged and older adults remains high. While it has been proven that cigarette smoke exposure is associated with cognitive impairment, limited research has examined its relationship with the cognitive function trajectories of middle-aged and older adults.

Methods

We included data on 5084 middle-aged and older adults from the China Health and Retirement Longitudinal Study (CHARLS), version D, which covers the latest surveys from 2011 to 2018. In the CHARLS, cognitive function was measured by the Chinese version of the Mini-Mental State Examination (MMSE). Individuals exposed to cigarette smoke were categorised into four levels: non-smokers, second-hand smokers, former smokers, and current smokers. We used the latent growth mixture model (LGMM) to identify the potential heterogeneity of cognitive trajectories, and an unordered multilevel logistic regression to explore the relationship between baseline cigarette smoke exposure and cognitive function trajectories.

Results

We identified three cognitive trajectory groups: slow decline group (6.2%), stable group (84.6%), and rapid decline group (9.1%). After controlling for other variables, we found that current smokers were 1.429 times more likely to develop into the rapid decline group than non-smokers (odds ratio (OR) = 1.429; 95% confidence interval (CI) = 1.086-1.881). As we continued to include demographic factors as covariates, currents smokers were 1.454 times more likely to develop into the rapid decline group than non-smokers (OR = 1.454; 95% CI = 1.052-2.01). After we included social activities, drinking and health factors as covariates, current smokers were 1.414 times more likely to develop into the rapid decline group than non-smokers (OR = 1.414; 95% CI = 1.015-1.97). This meant that current smoking remained an independent risk factor for decline trajectories, even after accounting for demographics, social activities, and health factors, suggesting that smoking has a robust association with functional or health decline.

Conclusions

The developmental trajectories of cognitive function among middle-aged and older adults are heterogeneous. We found that not smoking was a protective factor for cognitive function. This warrants further attention to the risk of cigarette smoking, which is a modifiable risk factor, and the subsequent adoption of interventions for smokers in order to slow down cognitive impairment and reduce its social and economic burden in the future.

Cardiac history and post-stroke depression association in Chinese stroke survivors: a cross sectional study

A substantial body of evidence indicates that stroke is a primary cause of death and disability on a global scale. The presence of post-stroke depression has been demonstrated to exert a substantial influence on the prognosis of stroke patients, underscoring the imperative for the identification and early prevention of post-stroke depression. The objective of this study was to examine the association between cardiac history and post-stroke depression (PSD) in Chinese stroke patients, with the aim of identifying high-risk groups, promoting early intervention strategies, and enhancing patient prognosis. This study was based on data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), which included 933 respondents with a history of stroke. Univariate and multivariate logistic regression analyses were used to assess the effects of cardiac history and other variables on post-stroke depression (PSD). The results indicated a correlation between cardiac history and post-stroke depression (PSD). In addition, the data showed that gender, activities of daily living (ADLs), cognitive functioning, and life satisfaction also had an effect on post-stroke depression (PSD). The findings presented here indicate that patients with a history of cardiac disease are more likely to develop post-stroke depression. This provides valuable insights into the clinical management of stroke patients and the prevention of post-stroke depression. The emotional health assessment of such patients should be emphasized in clinical management, and appropriate psychological support and interventions should be provided to improve their overall prognosis.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Associations of modifiable dementia risk factors with dementia and cognitive decline: evidence from three prospective cohorts

Objective

This study aims to assess the relationship between modifiable dementia risk factors and both dementia and cognitive decline.

Methods

Data were obtained from the Health and Retirement Study (HRS) [2008-2020], the China Health and Retirement Longitudinal Study (CHARLS) [2011-2020], and the English Longitudinal Study of Ageing (ELSA) [2010-2020]. After adjusting for confounding factors, multivariable logistic regression was utilized to analyze the relationship between modifiable dementia risk factors and dementia, while multivariable linear regression was employed to examine the relationship between these risk factors and cognitive decline. Additionally, the Cox proportional hazards model was used to assess the relationship between the number of risk factor events, clusters, and dementia risk.

Results

A total of 30,113 participants from HRS, CHARLS, and ELSA were included (44.6% male, mean age 66.04 years), with an average follow-up period of 7.29 years. A low education level was significantly associated with an increased risk of dementia and accelerated cognitive decline (Overall, OR = 2.93, 95% CI: 2.70-3.18; Overall, β = -0.25, 95% CI: -0.60 to-0.55). The presence of multiple dementia risk factors correlated with a higher dementia risk; Specifically, compared with more than 5 risk factor events, both having no dementia risk factors and having only one dementia risk factor were associated with a significantly lower risk of dementia (Overall, HR = 0.15, 95% CI: 0.11-0.22, HR = 0.22, 95% CI: 0.18-0.25). Compared to the group with no coexistence of risk factors, the clusters of excessive alcohol, diabetes, vision loss, and hearing loss (HR = 4.11; 95% CI = 3.42-4.95; p < 0.001); excessive alcohol, vision loss, smoking, and hearing loss (HR = 5.18; 95% CI = 4.30-6.23; p < 0.001); and excessive alcohol, obesity, diabetes, and smoking (HR = 5.96; 95% CI = 5.11-6.95; p < 0.001) were most strongly associated with dementia risk.

Conclusion

Among the 11 risk factors, educational attainment has the greatest impact on dementia risk and cognitive decline. A dose-response relationship exists between the number of modifiable risk factor events and dementia risk. The coexistence of multiple risk factors is associated with dementia risk, and these associations vary by risk factor cluster.

Dose-response relationship between the age at diagnosis of cardiovascular metabolic multimorbidity and cognitive impairment among middle-aged and older adults in China

AIMS

The purpose of this study was to explore the dose-response relationship between the age at diagnosis of cardiovascular metabolic multimorbidity and cognitive impairment among middle-aged and older adults in China.

METHODS

This is a secondary study using the China Health Retirement Longitudinal Study 2018(CHARLS 2018). The study included 1338 middle-aged and older adults. The middle-aged and older adults is defined as having cardiovascular metabolic multimorbidity if he or she has two or more of the five diseases (hypertension, diabetes, dyslipidemia, stroke, and heart disease). We measured cognitive functions by evaluating situational memory capacity and mental status. The total cognitive function score ranges from 0 to 31. Participants defined cognitive impairment as a function of subject educational level: illiteracy<17, primary school<20, junior high school and above<24. Restrictive cubic splines were used to examine the shape of the association between the age at diagnosis of cardiovascular metabolic multimorbidity and cognitive impairment.

RESULTS

The mean age was 67.72±9.96 years, with 52.0 % being female. Of the total sample, 79.1 % were cognitive impairment. When all covariates were adjusted, our study showed that the later the age of diagnosis of cardiovascular metabolic multimorbidity in middle-aged and older adults, the more cognitive impairment is exacerbated.

CONCLUSION

The later age of diagnosis of CMM in middle-aged and older adults, the higher the risk of cognitive impairment. This suggests that nurses should promptly emphasize the relationship between CMM and cognitive impairment to their patients in their daily practice and encourage patients to be screened for CMM as early as possible.

A predictive model for social participation of middle-aged and older adult stroke survivors: the China Health and Retirement Longitudinal Study

Objective

This study aims to develop and validate a prediction model for evaluating the social participation in the community middle-aged and older adult stroke survivors.

Methods

The predictive model is based on data from the China Health and Retirement Longitudinal Study (CHARLS), which focused on individuals aged 45 years or older. The study utilized subjects from the CHARLS 2015 and 2018 wave, eighteen factors including socio-demographic variables, behavioral and health status, mental health parameters, were analyzed in this study. To ensure the reliability of the model, the study cohort was randomly split into a training set (70%) and a validation set (30%). The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify the most effective predictors of the model through a 10-fold cross-validation. The logistic regression model was employed to investigate the factors associated with social participation in stroke patients. A nomogram was constructed to develop a prediction model. Calibration curves were used to assess the accuracy of the nomogram model. The model's performance was evaluated using the area under the curve (AUC) and decision curve analysis (DCA).

Result

A total of 1,239 subjects with stroke from the CHARLS database collected in 2013 and 2015 wave were eligible in the final analysis. Out of these, 539 (43.5%) subjects had social participation. The model considered nineteen factors, the LASSO regression selected eleven factors, including age, gender, residence type, education level, pension, insurance, financial dependence, physical function (PF), self-reported healthy,cognition and satisfaction in the prediction model. These factors were used to construct the nomogram model, which showed a certain extent good concordance and accuracy. The AUC values of training and internal validation sets were 0.669 (95%CI 0.631-0.707) and 0.635 (95% CI 0.573-0.698), respectively. Hosmer-Lemeshow test values were p = 0.588 and p = 0.563. Calibration curves showed agreement between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had predictive performance.

Conclusion

The nomogram constructed in this study can be used to evaluate the probability of social participation in middle-aged individuals and identify those who may have low social participation after experiencing a stroke.

Association between relative muscle strength and hypertension in middle-aged and older Chinese adults

BACKGROUND

The association between muscle defects and hypertension is well-established. However, the absence of pertinent and uncomplicated clinical indicators presents a challenge. Relative muscle strength (RMS) may offer a viable indicator. This study aimed to explore the association between RMS and hypertension.

METHODS

A total of 12,720 individuals aged ≥ 45 years from the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS) were included. Grip strength was recorded and appendicular skeletal muscle mass (ASM) was estimated using a validated mathematical formula. The RMS was calculated as the ratio of grip strength to ASM. Hypertension was determined based on previous diagnosis, history of hypertension medication use, and current blood pressure. Logistic regression models were employed to investigate the relationship between RMS and hypertension.

RESULTS

The prevalence of hypertension was 41.7% (5,307/12,720 patients). RMS was negatively correlated with hypertension with an OR (95% CI) of 0.68 (0.59-0.79) for males, 0.81 (0.73-0.90) for females, and 0.78 (0.72-0.85) for the entire population after adjusting for related covariates including age, education, marital history, smoking history, drinking history, diabetes, hyperlipidemia, and obesity. The trend test showed a linear association among males, females, or the entire population. Stratified analysis showed a consistent negative correlation between RMS and hypertension.

CONCLUSIONS

Higher RMS is an independent protective factor against hypertension and efforts to promote RMS may be beneficial for the prevention and management of hypertension.

Chronic Neuroinflammation and Cognitive Decline in Patients with Cardiac Disease: Evidence, Relevance, and Therapeutic Implications

Acute and chronic cardiac disorders predispose to alterations in cognitive performance, ranging from mild cognitive impairment to overt dementia. Although this association is well-established, the factors inducing and accelerating cognitive decline beyond ageing and the intricate causal pathways and multilateral interdependencies involved remain poorly understood. Dysregulated and persistent inflammatory processes have been implicated as potentially causal mediators of the adverse consequences on brain function in patients with cardiac disease. Recent advances in positron emission tomography disclosed an enhanced level of neuroinflammation of cortical and subcortical brain regions as an important correlate of altered cognition in these patients. In preclinical and clinical investigations, the thereby involved domains and cell types of the brain are gradually better characterized. Microglia, resident myeloid cells of the central nervous system, appear to be of particular importance, as they are extremely sensitive to even subtle pathological alterations affecting their complex interplay with neighboring astrocytes, oligodendrocytes, infiltrating myeloid cells, and lymphocytes. Here, we review the current evidence linking cognitive impairment and chronic neuroinflammation in patients with various selected cardiac disorders including the aspect of chronic neuroinflammation as a potentially druggable target.