Alcohol Exerts a Shifted U-Shaped Effect on Central Blood Pressure in Young Adults

Associations of modifiable and non-modifiable risk factors with cognitive functions - a prospective, population-based, 17 years follow-up study of 3,229 individuals

BACKGROUND

Although several cardiovascular, demographic, genetic and lifestyle factors have been associated with cognitive function, little is known about what type of cognitive impairment they are associated with. The aim was to examine the associations between different risk factors and future memory and attention/executive functions, and their interaction with APOE genotype.

METHODS

Participants from a large, prospective, population-based, Swedish study were included (n = 3,229). Linear regression models were used to examine baseline hypertension, body mass index (BMI), long-term glucose levels (HbA1c), different lipid levels, physical activity, alcohol consumption, smoking, education, APOE genotype, age and sex. All models were adjusted for follow-up time and basic demographics, and, in a second step, all significant predictors were included to examine independent effects. Follow-up outcomes were memory and attention/executive functions.

RESULTS

The mean age at baseline was 56.1 (SD 5.7) years and 59.7% were women. The mean follow-up time was 17.4 (range 14.3-20.8) years. When examining independent effects, APOE ε4 genotype(p < 0.01), and higher HbA1c(p < 0.001), were associated with future low memory function. Higher BMI (p < 0.05), and HbA1c(p < 0.05), lower high-density lipoprotein cholesterol (HDL-C)(p < 0.05)and stroke(p < 0.001) were associated with future low attention/executive function. The strongest factors associated with both better memory and attention/executive functions were higher education and alcohol consumption. Further, significant interaction effects between predictors and APOE genotype were found. For memory function, the protective effects of education were greater among ɛ4-carriers(p < 0.05). For attention/executive function, the protective effects of alcohol were greater among ɛ2 or ɛ4-carriers(p < 0.05). Also, attention/executive function was lower among ɛ4-carriers with higher BMI(p < 0.05) and ɛ2-carriers with higher HbA1c-levels(p < 0.05).

CONCLUSIONS

Targeting cardiovascular risk factors in mid-life could have greater effect on future attention/executive functions rather than memory, whereas targeting diabetes could be beneficial for multiple cognitive domains. In addition, effects of different risk factors may vary depending on the APOE genotype. The varied cognitive profiles suggest that different mechanisms and brain regions are affected by the individual risk factors. Having detailed knowledge about the specific cognitive effects of different risk factors might be beneficial in preventive health counseling.

Understanding policy amenable risk factors: Alcohol consumption and long-term care use among people over 65 years old

OBJECTIVES

This study aims to explore the effect of past alcohol consumption frequency on formal and informal long-term care (LTC) use in old age and explore the different channels through which it may affect LTC use.

MOTIVATION

The existing literature has mainly focused on risk factors associated with a nursing home entry, but this evidence is outdated, not UK-focused, and does not look into other types of care, such as informal care. The results of this study will help in modelling the future demand for various types of care and the corresponding public spending.

METHODS

We use the English Longitudinal Study of Ageing (ELSA) (2002-2017) dataset to conduct longitudinal, individual-level analysis. We explore how the previous frequency of alcohol consumption affects formal and informal care use. We focus on people aged 65 and over with no previous LTC use and run regressions with and without instrumental variables (IV) to estimate how alcohol consumption patterns in the previous wave (2 years before) affect formal and informal care use. For IV regressions, we use the polygenic score for alcohol use, available for a subsample of ELSA respondents, as an instrument while also accounting for sociodemographic characteristics, lifestyle choices, and health conditions.

RESULTS

The main IV estimates suggest that frequent alcohol consumption has a weakly significant positive effect on the onset of formal LTC care use compared to none/rare drinking. This relationship diminishes and is not statistically significant when we directly control for health status. We find no statistically significant effect towards informal LTC use. These results contrast with the estimates without IV, which suggest that frequent alcohol consumption is negatively associated with informal care use and no or weakly negative association with formal care use.

DISCUSSION

Our findings suggest that unobserved confounding is important when studying the relationship between alcohol consumption and LTC. We hypothesise that primarily alcohol effects LTC through its adverse effect on health. In addition, unobserved factors like preferences towards seeking care, social behaviour may be related to alcohol consumption and affect access to care. We speculate alcohol may have a damaging effect on personal relationships and could indicate the burden eventually falling on formal care. In as far as the polygenic score IV can account for unobserved preference-behaviour differences, the results (weakly) support the hypothesis that these latter processes are relevant, especially for informal care use.

Association between tobacco smoking and alcohol consumption with arterial stiffness

Few investigations have been performed between tobacco smoking, alcohol, and arterial stiffness. The purpose of our study was to investigate the association between smoking use and alcohol with arterial stiffness index (ASI) in a middle-age population. Smoking pack-years and cigarettes per day were defined as alcohol consumption in units/day. Sex associations between smoking and alcohol with ASI were estimated using multiple linear regressions. Interactions and synergistic effects were investigating. 98 039 individuals of the UK Biobank cohort were included (45 457 men and 52 582 women). ASI levels were higher in men than in women (9.91 vs. 8.71 m/s, p < .001), and showed higher relationship to smoking tobacco in multiple linear regression models in women than in men (FDR logworth 78.4 vs. 52.7). The findings revealed that ASI was higher among current smokers than never smokers in both sex and after adjustment for all covariates (in men 10.4 vs. 9.6 and in women 9.5 vs. 8.5 m/s, p < .001). Alcohol consumption per day was positively associated with higher levels of ASI in both sex, but with a less relationship (FDR logworth for men = 2.8, for women = 2.5). An interaction was observed between smoking information and alcohol in men but not in women. Synergistic effects were observed by adding smoking information on alcohol consumption models in men and women (p = .029, p < .001, respectively). Smoking and alcohol were associated with higher ASI in both sex but with a higher relationship among women. The findings suggest the importance of considering smoking and alcohol consumption cessation in cardiovascular diseases prevention.

Aging of the Arterial System

Aging of the vascular system is associated with deep changes of the structural proprieties of the arterial wall. Arterial hypertension, diabetes mellitus, and chronic kidney disease are the major determinants for the loss of elasticity and reduced compliance of vascular wall. Arterial stiffness is a key parameter for assessing the elasticity of the arterial wall and can be easily evaluated with non-invasive methods, such as pulse wave velocity. Early assessment of vessel stiffness is critical because its alteration can precede clinical manifestation of cardiovascular disease. Although there is no specific pharmacological target for arterial stiffness, the treatment of its risk factors helps to improve the elasticity of the arterial wall.

Alcohol Consumption: A New Risk Factor for Arterial Stiffness?

The relationship between alcohol consumption and cardiovascular disease risk is complex. Low-to-moderate daily alcohol consumption (1–2 drinks/day) is associated with reduced risk, whereas greater amounts of alcohol consumption and a “binge” pattern of drinking are associated with increased cardiovascular risk and mortality. Arterial stiffness may help explain the complex relationship. This integrated review summarizes data from studies examining the associations between alcohol consumption and pulse wave velocity, a gold standard measure of arterial stiffness. We also briefly review the concept and methodology of pulse wave velocity measurement as well as the mechanisms of alcohol-induced arterial stiffening. Findings among the different studies reviewed were inconsistent with methodological challenges related to alcohol use assessment. While making specific conclusions regarding this relationship is tenuous; the data suggest that excessive alcohol consumption or a binge drinking pattern is associated with increased arterial stiffness.

Aortic Stiffness: Epidemiology, Risk Factors, and Relevant Biomarkers

Aortic stiffness (AoS) is a maladaptive response to hemodynamic stress and both modifiable and non-modifiable risk factors, and elevated AoS increases afterload for the heart. AoS is a non-invasive marker of cardiovascular health and metabolic dysfunction. Implementing AoS as a diagnostic tool is challenging as it increases with age and varies amongst races. AoS is associated with lifestyle factors such as alcohol and smoking, as well as hypertension and comorbid conditions including metabolic syndrome and its components. Multiple studies have investigated various biomarkers associated with increased AoS, and this area is of particular interest given that these markers can highlight pathophysiologic pathways and specific therapeutic targets in the future. These biomarkers include those involved in the inflammatory cascade, anti-aging genes, and the renin-angiotensin aldosterone system. In the future, targeting AoS rather than blood pressure itself may be the key to improving vascular health and outcomes. In this review, we will discuss the current understanding of AoS, measurement of AoS and the challenges in interpretation, associated biomarkers, and possible therapeutic avenues for modulation of AoS.