Effect of chronic alcohol intake on motor functions on the elderly

The relationship between physical performance and alcohol consumption levels in Russian adults

Investigating the relationship between alcohol consumption and physical performance, we used data from the 2015-2018 Know Your Heart study on 4215 adults aged 35-69 from Arkhangelsk and Novosibirsk, Russia. We classified participants' drinking status into non-drinking, non-problem drinking, hazardous drinking, and harmful drinking based on their self-reported drinking behaviors. To evaluate physical performance, we developed a Composite Physical Performance Scale (CPPS), which combined the results of three functional tests: grip strength (GS), closed-eyes balance, and chair rises (CR). We applied multivariable linear regression to assess the relationship between alcohol consumption and CPPS score, and ordinal logistic regression to explore the associations between alcohol consumption and the three functional tests separately. The results showed that harmful drinking was associated with lower CPPS scores compared to non-problem drinking. Among harmful drinking men, the decrease in CPPS scores was explained by all three tests equally and exceptionally by GS among women. Non-drinking was also associated with decreased CPPS, linked to lower GS and CR scores in men, and only lower GS scores in women. The study revealed a reduced physical performance in the non-drinking and harmful drinking groups compared to non-problem drinking.

'I'd be willing to take that risk for the enjoyment of the time that I have': a COM-B influenced analysis of older people's perspectives on their alcohol consumption

Objectives: To explore how older people understand, perceive, and evaluate the various factors which drive their alcohol consumption behaviours.Methods: Semi-structured interviews were conducted with 33 Australian community-dwelling older adults (aged 65+ years) who drank alcohol at least once a month. Thematic analyses identified common themes which were then mapped onto the COM-B theoretical framework.Results: Drinking behaviours were driven by a lack of capability in the form of poor knowledge regarding safe drinking behaviours and guidelines; high opportunity for consumption due to ease of accessing alcohol and its prominence in social routines; and high motivation to drink due to perceived benefits outweighing perceived risks.Conclusion: Increasing older peoples' knowledge of the risks associated with consumption and safe drinking behaviours represents a key health promotion priority in order to reduce the burden of alcohol-related harms among this group.

Alcohol and the Brain-Gut Axis: The Involvement of Microglia and Enteric Glia in the Process of Neuro-Enteric Inflammation

Binge or chronic alcohol consumption causes neuroinflammation and leads to alcohol use disorder (AUD). AUD not only affects the central nervous system (CNS) but also leads to pathologies in the peripheral and enteric nervous systems (ENS). Thus, understanding the mechanism of the immune signaling to target the effector molecules in the signaling pathway is necessary to alleviate AUD. Growing evidence shows that excessive alcohol consumption can activate neuroimmune cells, including microglia, and change the status of neurotransmitters, affecting the neuroimmune system. Microglia, like peripheral macrophages, are an integral part of the immune defense and represent the reticuloendothelial system in the CNS. Microglia constantly survey the CNS to scavenge the neuronal debris. These cells also protect parenchymal cells in the brain and spinal cord by repairing nerve circuits to keep the nervous system healthy against infectious and stress-derived agents. In an activated state, they become highly dynamic and mobile and can modulate the levels of neurotransmitters in the CNS. In several ways, microglia, enteric glial cells, and macrophages are similar in terms of causing inflammation. Microglia also express most of the receptors that are constitutively present in macrophages. Several receptors on microglia respond to the inflammatory signals that arise from danger-associated molecular patterns (DAMPs), pathogen-associated molecular patterns (PAMPs), endotoxins (e.g., lipopolysaccharides), and stress-causing molecules (e.g., alcohol). Therefore, this review article presents the latest findings, describing the roles of microglia and enteric glial cells in the brain and gut, respectively, and their association with neurotransmitters, neurotrophic factors, and receptors under the influence of binge and chronic alcohol use, and AUD.

Age as a potential modulator of alcohol-related deficits

Although their individual significance is well-documented, the interaction effects of age, sex, and alcohol use disorder (AUD) have undergone little systematic investigation. Here, we extend prior work interrogating sex and group (AUD vs. community comparison [CC]) by probing the main and interaction effects of age on emotion processes as well as two conventional neuropsychological tests. Main effects for age and group were anticipated; however, interaction effects comprise our primary focus. While sex differences in AUD prevalence are commonly reported, sex differences within AUD samples are inconsistently found. Therefore, we pose our inquiry regarding sex as exploratory. In this study, 54 CC (n = 30 women) and 55 AUD (n = 14 women) subjects completed a battery that included an emotional face discrimination task, the Trail-Making Test-B (TMT-B), and the Digit Symbol Substitution Test (DSST). The initial/full models included the main and interaction effects of age (as a continuous variable; 25-59 years of age), sex, and group (AUD, CC). In analysis of the emotional face discrimination task, performance on a non-affective face discrimination task was entered as a covariate. Analysis of emotion identification revealed group and age main (p = .02; d = .53 & .003; d = .50, respectively) and interaction effects (p = .05; d = .41). The latter suggested that age and emotion processing performance were positively correlated in the AUD group, but unrelated in the CC group. Notably, neither sex, main, nor interaction effects achieved significance. Using the full model, analysis of the TMT-B and DSST failed to show sex effects or reveal expected performance decrement in the AUD group. To clarify the latter, simple models including only group as well as correlations between age and performance by group for each task were conducted. These analyses demonstrated the expected AUD-related deficits and suggested differential relationships between age and neurocognitive performance as a function of both group and task. Outcomes across tasks emphasize the need to reframe aging effects, particularly in the context of AUD.

Long-term effects of alcohol consumption on cognitive function in seniors: a cohort study in China

BACKGROUND

In the context of increasing global aging, the long-term effects of alcohol consumption on cognitive function in older adults were analyzed in order to provide rationalized health recommendations to the elderly population.

METHODS

The study used the Chinese Longitudinal Healthy Longevity Survey (CLHLS) dataset, from which 5354 Chinese seniors aged 65-112 years were selected as the subjects, spanning the years 1998-2018. Data on alcohol, diet, activity, and cognition were collected by questionnaire and cognitive levels were judged by the Mini-Mental State Examination scale (also referenced to the Functional Assessment Staging Test). Data cleaning and preprocessing was implemented by R software. The dynamic Cox model was applied for model construction and data analysis.

RESULTS

The results of the dynamic Cox model suggested that seniors who drank alcohol were at higher risk of cognitive decline compared to those who never drank (HR = 1.291, 95%CI: 1.175-1.419). The risk was similarly exacerbated by perennial drinking habits (i.e., longer drinking years, HR = 1.008, 95%CI: 1.004-1.013). Compared to non-alcoholic beverages, liquor (≥ 38°), liquor (< 38°), wine and rice wine all showed negative effects. Whereas, the risk of cognitive decline was relatively lower in seniors who consumed liquors (< 38°) and rice wine compared to the high-level liquor (HR: 0.672 (0.508, 0.887) and 0.732 (0.559, 0.957), respectively).

CONCLUSIONS

Alcohol consumption has a negative and long-term effects on cognitive function in seniors. For the elderly, we suggested that alcohol intake should be avoided as much as possible.