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The article highlights the study by Paul Elliott and colleagues which investigates the causes of high blood pressure. It relates that Elliott and colleagues have combined information about environmental influences with metabolic profiling, in which they gathered details about diet, alcohol, drug and supplement use from individuals aged between 40 and 59. It notes that the researchers have analysed the amounts of certain urinary constituents and found links between this urinary constituent and a person's diet and blood pressure.

Background: Anti-Hu antibody neuropathy is considered a rare acquired peripheral neuropathy, but common among paraneoplastic syndromes. Typically, is described as subacute sensory neuronopathy and electrophysiological findings are usually suggestive of a sensory axonal neuropathy. Case presentation: We report the case of a 67-year-old man referred to our clinic with a 4-month history of progressive pain and paresthesias of distal lower limbs. He had a 30-year history of alcohol abuse and smoking. Alcoholic neuropathy was considered the most likely diagnosis, considering his history and evaluation. The patient's neurological examination revealed symmetric bilateral superficial and deep sensory loss in the lower extremities, reduced Achilles tendon reflexes and wide based gait. Electrophysiological testing was suggestive of axonal sensory-motor polyneuropathy and small fiber involvement. Even though alcohol consumption was discontinued, symptoms gradually worsened. Further testing was performed and the patient was found seropositive for anti-Hu antibody. Small-cell lung cancer was detected later, but patient passed away before treatment for cancer was administrated. Conclusions: The aim of our paper is to report a case of a rare paraneoplastic syndrome that can cause progressive sensory-motor neuropathy with large and small fiber involvement, which should be rapidly differentially diagnosed from other neuropathies, so that the underlying cause can be identified and, potentially, treated. [ABSTRACT FROM AUTHOR]

Phosphatidylethanol (PEth) is a group of phospholipids formed in cell membranes following alcohol consumption by action of the enzyme phospholipase D (PLD). PEth measurement in whole blood samples is established as a specific alcohol biomarker with clinical and forensic applications. However, in blood specimens containing ethanol, formation of PEth may continue after sampling leading to falsely elevated concentrations. This study evaluated the use of dried blood spot (DBS) and microsampling specimens to avoid post-sampling formation of PEth. Filter paper cards and three commercial devices for volumetric microsampling of finger-pricked blood were assessed, using PEth-negative and PEth-positive whole blood fortified with 2 g/L ethanol. PEth (16:0/18:1) was measured by LC–MS/MS. Post-sampling formation of PEth occurred in wet blood and in the volumetric devices, but not filter paper cards, when stored at room temperature for 48 h. Addition of an inhibitor of PLD, sodium metavanadate (NaVO3), eliminated post-sampling formation during storage and drying. In conclusion, the present study confirmed previous observations that PEth can be formed in blood samples after collection, if the specimen contains ethanol. The results further demonstrated that post-sampling formation of PEth from ethanol also occurred with commercial devices for volumetric dried blood microsampling. In order for a PEth result not to be questioned, it is recommended to use a PLD inhibitor, whether venous blood is collected in a vacutainer tube or finger-pricked blood is obtained using devices for dried blood microsampling. [ABSTRACT FROM AUTHOR]

Uncertainty is prevalent in various health contexts. It is imperative to understand how health-related uncertainty can impact individuals' healthcare experiences and health decision making. The purpose of the present paper is to provide five overarching recommendations from an interdisciplinary team of experts to address gaps in the literature on health-related uncertainty. We present a case study of health-related uncertainty within the specific context of alcohol use to demonstrate these gaps and provide context for the recommendations. The five recommendations concerning health-related uncertainty include: (1) use common, consistent terminology to discuss uncertainty, (2) clarify measures of individual differences in response to uncertainty, (3) increase research on uncertainty and affect, (4) investigate the impact of the channel through which uncertainty is communicated, and (5) develop theory-driven interventions to improve uncertainty management. We conclude by reviewing health contexts in which health-related uncertainty exists and note how our recommendations complement existing reviews and data. [ABSTRACT FROM AUTHOR]

Exposure to alcohol content in media increases alcohol consumption and related harm. With exponential growth of media content, it is important to use algorithms to automatically detect and quantify alcohol exposure. Foundation models such as Contrastive Language-Image Pretraining (CLIP) can detect alcohol exposure through Zero-Shot Learning (ZSL) without any additional training. In this paper, we evaluated the ZSL performance of CLIP against a supervised algorithm called Alcoholic Beverage Identification Deep Learning Algorithm Version-2 (ABIDLA2), which is specifically trained to recognise alcoholic beverages in images, across three tasks. We found ZSL achieved similar performance compared to ABIDLA2 in two out of three tasks. However, ABIDLA2 outperformed ZSL in a fine-grained classification task in which determining subtle differences among alcoholic beverages (including containers) are essential. We also found that phrase engineering is essential for improving the performance of ZSL. To conclude, like ABIDLA2, ZSL with little phrase engineering can achieve promising performance in identifying alcohol exposure in images. This makes it easier for researchers, with little or no programming background, to implement ZSL effectively to obtain insightful analytics from digital media. Such analytics can assist researchers and policy makers to propose regulations that can prevent alcohol exposure and eventually prevent alcohol consumption. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is a global health concern that has spread around the globe. Machine Learning is promising in the fight against the COVID-19 pandemic. Machine learning and artificial intelligence have been employed by various healthcare providers, scientists, and clinicians in medical industries in the fight against COVID-19 disease. In this paper, we discuss the impact of the Covid-19 pandemic on alcohol consumption habit changes among healthcare workers in the United States during the first wave of the Covid-19 pandemic. We utilize multiple supervised and unsupervised machine learning methods and models such as decision trees, logistic regression, support vector machines, multilayer perceptron, XGBoost, CatBoost, LightGBM, AdaBoost, Chi-Squared Test, mutual information, KModes clustering and the synthetic minority oversampling technique on a mental health survey data obtained from the University of Michigan Inter-University Consortium for Political and Social Research to investigate the links between COVID-19-related deleterious effects and changes in alcohol consumption habits among healthcare workers. Through the interpretation of the supervised and unsupervised methods, we have concluded that healthcare workers whose children stayed home during the first wave in the US consumed more alcohol. We also found that the work schedule changes due to the Covid-19 pandemic led to a change in alcohol use habits. Changes in food consumption, age, gender, geographical characteristics, changes in sleep habits, the amount of news consumption, and screen time are also important predictors of an increase in alcohol use among healthcare workers in the United States. [ABSTRACT FROM AUTHOR]

The paper aimed to compare how factors previously identified as predictive factors for cognitive decline and dementia related to cognitive performance on the one hand and brain health on the other. To that aim, multiple linear regression was applied to the AGES-Reykjavik study epidemiological data. Additionally, a regression analysis was performed for change in cognition over 5 years, using the same exposure factors. The study ran from 2002 to 2011, and the sample analyzed included 1707 participants between the ages of 66 and 90. The data contains MR imaging, cognitive testing, background data, and physiological measurements. Overall, we conclude that risk factors linked to dementia relate differently to cognition and brain health. Mobility, physical strength, alcohol consumption, coronary artery disease, and hypertension were associated with cognition and brain volume. Smoking, depression, diabetes, and body fat percentage were only associated with brain volume, not cognitive performance. Modifiable factors previously linked to cognitive reserve, such as educational attainment, participation in leisure activities, multilingualism and good self-reported health, were associated with cognitive function but did not relate to brain volume. These findings show that, within the same participant pool, cognitive reserve proxy variables have a relationship with cognitive performance but have no association with relative brain volume measured simultaneously. [ABSTRACT FROM AUTHOR]

Economists model self-control problems through time-inconsistent preferences. Empirical tests of these preferences largely rely on experimental elicitation using monetary rewards, with several recent studies failing to find present bias for money. In this paper, we compare estimates of present bias for money with estimates for healthy and unhealthy foods. In a within-subjects longitudinal experiment with 697 low-income Chinese high school students, we find strong present bias for both money and food, and that individual measures of present bias are moderately correlated across reward types. Our experimental measures of time preferences over both money and foods predict field behaviors including alcohol consumption and academic performance. [ABSTRACT FROM AUTHOR]

Gene-environment interactions (GxE) play a central role in the theoretical relationship between genetic factors and complex traits. While genome wide GxE studies of human behaviors remain underutilized, in part due to methodological limitations, existing GxE research in model organisms emphasizes the importance of interpreting genetic associations within environmental contexts. In this paper, we present a framework for conducting an analysis of GxE using raw data from genome wide association studies (GWAS) and applying the techniques to analyze gene-by-age interactions for alcohol use frequency. To illustrate the effectiveness of this procedure, we calculate genetic marginal effects from a GxE GWAS analysis for an ordinal measure of alcohol use frequency from the UK Biobank dataset, treating the respondent's age as the continuous moderating environment. The genetic marginal effects clarify the interpretation of the GxE associations and provide a direct and clear understanding of how the genetic associations vary across age (the environment). To highlight the advantages of our proposed methods for presenting GxE GWAS results, we compare the interpretation of marginal genetic effects with an interpretation that focuses narrowly on the significance of the interaction coefficients. The results imply that the genetic associations with alcohol use frequency vary considerably across ages, a conclusion that may not be obvious from the raw regression or interaction coefficients. GxE GWAS is less powerful than the standard "main effect" GWAS approach, and therefore require larger samples to detect significant moderated associations. Fortunately, the necessary sample sizes for a successful application of GxE GWAS can rely on the existing and on-going development of consortia and large-scale population-based studies. [ABSTRACT FROM AUTHOR]

An amendment to this paper has been published and can be accessed via a link at the top of the paper. [ABSTRACT FROM AUTHOR]

Measurement of alcohol use and associated harms at the city level is often incomplete or non-existent even though such data are often critical to informing local prevention strategies. This paper models how to generate local estimates of the morbidity, mortality, and cost of current alcohol use instead of abstaining. Administrative data sources, including medical examiner records, hospital records, and police records, among others, were used to obtain local estimates of alcohol-attributable outcomes. In 2018, we used alcohol-attributable fractions and scaled national estimates to quantify the burden of current alcohol use in Baltimore, MD, in 2013. Fifty-two percent of Baltimore adults reported past 30-day drinking. There were 276 alcohol-attributable deaths in 2013, and 106 (38.4%) of these were persons other than the drinker. In 2013, current alcohol use cost $582.3 million in Baltimore City. This burden was distributed across drinkers (40.1%), persons other than the drinker (21.3%), and the government (38.6%). It is possible to quantify this burden at the local level, and these data could be used to inform evidence-based alcohol policy strategies at the local level. [ABSTRACT FROM AUTHOR]

Previous research has found that shorter men have significantly worse life outcomes than taller men. Using the 1979 version of the National Longitudinal Survey of Youth, this paper uses maximum likelihood estimations to test whether these worse outcomes translate into shorter men drinking more heavily. Results show that, at ages 29–47, taller men are more likely to drink alcohol, but among drinkers, shorter men drink more often and are more likely to binge drink. Among women, there is no significant relationship between height and alcohol consumption. There are different relationships between height and male alcohol consumption according to education level. Among non-college-graduate men, those who were taller in adolescence are more likely to drink alcohol, but among drinkers, shorter men drink more often and are more likely to binge drink. Among college-graduate men, taller men are more likely to drink alcohol and, among drinkers, binge drink more often. Controlling for earnings, education, cognitive ability, and marital status (factors that previous research has found to be correlated with male height) explains some of the relationship between height and alcohol consumption among male non-college-graduates, but not much, and actually intensifies relationships between height and binge drinking among male college graduates. Controlling for late-adolescent drinking behavior does not explain relationships between height and heavier adult drinking, indicating that the relationship between male height and drinking behavior develops in adulthood. [ABSTRACT FROM AUTHOR]

Endometriosis is a complex and chronic disease, whose multifactorial nature has encouraged a deep investigation on the role of lifestyle factors. A strong association between alcohol intake and endometriosis risk has already been shown. We aimed to confirm this association, considering the updated literature. 23 eligible studies were identified through comprehensive literature search of PubMed and EMBASE (May 2012–October 2021). A borderline statistical significance was found comparing any alcohol consumption with no consumption (unadjusted OR 1.14; 95% CI: 0.99–1.31, p = 0.06), in contrast with a previous meta-analysis. However, we confirmed the significant association between moderate alcohol intake and endometriosis (unadjusted OR 1.22, 95% CI: 1.03–1.45, p = 0.02), also performing a sensitivity analysis (unadjusted OR 1.27, 95% CI: 1.04–1.54). Our partly divergent evidence reflects the tough challenge of isolating the impact of specific factors on the natural history of multifactorial diseases. Indeed, on one hand alcohol could be adopted by patients as a self-management therapy and on the other, it could favor the disease, promoting positive feedback with inflammatory mediators and oxidative stress. Our study encourages further investigation on the role of modifiable lifestyle factors and highlights the opportunity to adopt them to prevent or at least limit endometriosis progression. [ABSTRACT FROM AUTHOR]

Network analysis has become a crucial tool in genetic research, enabling the exploration of associations between genes and diseases. Its utility extends beyond genetics to include the assessment of environmental factors. Unipartite network analysis is commonly used in genomics to visualize initial insights and relationships among variables. Syndromic diseases, such as metabolic syndrome, are characterized by the simultaneous occurrence of various signs, symptoms, and clinicopathological features. Metabolic syndrome encompasses hypertension, diabetes, obesity, and dyslipidemia, and both genetic and environmental factors contribute to its development. Given that relevant data often consist of distinct sets of variables, a more intuitive visualization method is needed. This study applied multipartite network analysis as an effective method to understand the associations among genetic, environmental, and disease components in syndromic diseases. We considered three distinct variable sets: genetic factors, environmental factors, and disease components. The process involved projecting a tripartite network onto a two-mode bipartite network and then simplifying it into a one-mode network. This approach facilitated the visualization of relationships among factors across different sets and within individual sets. To transition from multipartite to unipartite networks, we suggest both sequential and concurrent projection methods. Data from the Korean Association Resource (KARE) project were utilized, including 352,228 SNPs from 8840 individuals, alongside information on environmental factors such as lifestyle, dietary, and socioeconomic factors. The single-SNP analysis step filtered SNPs, supplemented by reference SNPs reported in a genome-wide association study catalog. The resulting network patterns differed significantly by sex: demographic factors and fat intake were crucial for women, while alcohol consumption was central for men. Indirect relationships were identified through projected bipartite networks, revealing that SNPs such as rs4244457, rs2156552, and rs10899345 had lifestyle interactions on metabolic components. Our approach offers several advantages: it simplifies the visualization of complex relationships among different datasets, identifies environmental interactions, and provides insights into SNP clusters sharing common environmental factors and metabolic components. This framework provides a comprehensive approach to elucidate the mechanisms underlying complex diseases like metabolic syndrome. [ABSTRACT FROM AUTHOR]

Osteoclast is critical in skeletal development and fracture healing, yet the impact and underlying mechanisms of their metabolic state on these processes remain unclear. Here, by using osteoclast-specific small GTPase Rheb1-knockout mice, we reveal that mitochondrial respiration, rather than glycolysis, is essential for cathepsin K (CTSK) production in osteoclasts and is regulated by Rheb1 in a mechanistic target of rapamycin complex 1 (mTORC1)-independent manner. Mechanistically, we find that Rheb1 coordinates with mitochondrial acetyl-CoA generation to fuel CTSK, and acetyl-CoA availability in osteoclasts is the central to elevating CTSK. Importantly, our findings demonstrate that the regulation of CTSK by acetyl-CoA availability is critical and may confer a risk for abnormal endochondral ossification, which may be the main cause of poor fracture healing on alcohol consumption, targeting Rheb1 could successfully against the process. These findings uncover a pivotal role of mitochondria in osteoclasts and provide a potent therapeutic opportunity in bone disorders. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between alcohol consumption, deterrence, and crime for New York City. We use monthly time-series data from 1983 to 2001 to analyze the impacts of variations in both alcohol consumption and deterrence on seven 'index' crimes. We tackle the endogeneity of arrests and the police force by exploiting the temporal independence of crime and deterrence in these high-frequency data, and we address the endogeneity of alcohol by using instrumental variables where alcohol sales are instrumented with city and state alcohol taxes and minimum drinking age. We find that alcohol consumption is positively related to assault, rape, and larceny crimes but not murder, robbery, burglary, or motor vehicle theft. We find strong deterrence for all crimes except assault and rape. Generally, deterrence effects are stronger than alcohol effects. [ABSTRACT FROM AUTHOR]

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The article announces that Adrian Fleissig has won the 2017 Best Article Award from the periodical for his research paper "Changing Trends in U.S. Alcohol Demand," which was published in the September 2016 issue of the periodical.

Alcohol production and consumption have been prohibited in Iran for over four decades, leading to a typical underestimation of its consumption. This study aimed to assess the prevalence of alcohol consumption, its associated factors, and estimate per capita alcohol consumption among Iran's adult population. In this population-based survey, 27,874 adults from across Iran were selected using systematic proportional-to-size cluster sampling. Alcohol consumption was evaluated through a modified Persian version of the STEPS questionnaires from previous studies, applied over different timespans. Per capita consumption was calculated using the quantity-frequency method, expressed in liters of pure alcohol. Adjusted odds ratios were reported for associates of alcohol consumption concerning metabolic risk factors, sociodemographic elements, and lifestyle variables. The prevalence of lifetime alcohol consumption was 6.9% (95% CI 6.5–7.2) in the adult population, with a notable sex difference (males: 13.7% [95% CI 13–14.4]; females: 1.4% [95% CI 1.1–1.6]). The 12 month prevalence was 3.8% (95% CI 3.6–4.1). For individuals aged 18 and older, the per capita alcohol consumption in Iran was 0.12 L. Factors such as being a lifetime smoker, younger, wealthier, and having 7–12 years of education were significantly linked to higher alcohol consumption. Significant associations were also observed between alcohol consumption and having a history of heart attacks (OR = 2.04, 95% CI 1.44–2.89), and physical injuries (OR = 1.88, 95% CI 1.34–2.64). The estimated lifetime and 12-month prevalence of alcohol use in our study were higher among some of the subpopulations. The findings also revealed a complex relationship between alcohol consumption, behavioral risk factors, and metabolic profiles. Consequently, immediate preventive measures tailored to each factor's association with alcohol use are recommended. [ABSTRACT FROM AUTHOR]

Sleep is essential to life. Accurate measurement and classification of sleep/wake and sleep stages is important in clinical studies for sleep disorder diagnoses and in the interpretation of data from consumer devices for monitoring physical and mental well-being. Existing non-polysomnography sleep classification techniques mainly rely on heuristic methods developed in relatively small cohorts. Thus, we aimed to establish the accuracy of wrist-worn accelerometers for sleep stage classification and subsequently describe the association between sleep duration and efficiency (proportion of total time asleep when in bed) with mortality outcomes. We developed a self-supervised deep neural network for sleep stage classification using concurrent laboratory-based polysomnography and accelerometry. After exclusion, 1113 participant nights of data were used for training. The difference between polysomnography and the model classifications on the external validation was 48.2 min (95% limits of agreement (LoA): −50.3 to 146.8 min) for total sleep duration, −17.1 min for REM duration (95% LoA: −56.7 to 91.0 min) and 31.1 min (95% LoA: −67.3 to 129.5 min) for NREM duration. The sleep classifier was deployed in the UK Biobank with ~100,000 participants to study the association of sleep duration and sleep efficiency with all-cause mortality. Among 66,262 UK Biobank participants, 1644 mortality events were observed. Short sleepers (<6 h) had a higher risk of mortality compared to participants with normal sleep duration 6–7.9 h, regardless of whether they had low sleep efficiency (Hazard ratios (HRs): 1.36; 95% confidence intervals (CIs): 1.18 to 1.58) or high sleep efficiency (HRs: 1.29; 95% CIs: 1.04–1.61). Deep-learning-based sleep classification using accelerometers has a fair to moderate agreement with polysomnography. Our findings suggest that having short overnight sleep confers mortality risk irrespective of sleep continuity. [ABSTRACT FROM AUTHOR]

Cohort and case-control data have suggested an association between low to moderate alcohol consumption and decreased risk of ischemic heart disease (IHD), yet results from Mendelian randomization (MR) studies designed to reduce bias have shown either no or a harmful association. Here we conducted an updated systematic review and re-evaluated existing cohort, case-control, and MR data using the burden of proof meta-analytical framework. Cohort and case-control data show low to moderate alcohol consumption is associated with decreased IHD risk – specifically, intake is inversely related to IHD and myocardial infarction morbidity in both sexes and IHD mortality in males – while pooled MR data show no association, confirming that self-reported versus genetically predicted alcohol use data yield conflicting findings about the alcohol-IHD relationship. Our results highlight the need to advance MR methodologies and emulate randomized trials using large observational databases to obtain more definitive answers to this critical public health question. Alcohol use is commonplace and ischemic heart disease (IHD) the leading cause of death globally, yet their relationship is unclear. Here we show that study type determines whether research finds alcohol reduces IHD risk or is unrelated, arguing for new approaches to settle this critical debate. [ABSTRACT FROM AUTHOR]

People consume alcohol for multiple reasons. Negative motives are often associated with alcohol-related problems. These problems might be explained by negative effects of high alcohol consumption on empathy. Past studies have associated alcohol use disorder (AUD) with reduced cognitive and affective empathy. Few studies have focused on non-clinical samples and considered behavioral empathy. We examined the links between alcohol consumption and multiple aspects of empathy, and if these links were moderated by negative drinking motives. We collected online data of 520 unselected individuals. All completed the AUD Identification Test (AUDIT) and a Drinking Motives Questionnaire. Affective and cognitive empathy were assessed using the Empathy Quotient. Behavioral empathy was assessed by asking participants how likely they would help the person in each of 24 scenarios involving pain. Helping others in pain was positively predicted by affective and cognitive empathy. Higher AUDIT scores were associated with helping others less, particularly among participants who scored higher on drinking to cope with negative affect. People who drink more and do so to cope with negative affect appear to have less behavioral empathy. This supports the view that negative drinking motives contribute to AUD risk. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this paper is to examine whether there is an underlying multidimensional typology of drinking according to gender among a population presenting heterogeneous drinking profiles in Canada., Methods: Latent class analysis was chosen to analyze the degree of statistical relationship among three indicators of drinking practices: patterns of drinking - i.e., frequency and quantity; contexts; and motivations to drink. Multivariate multilogistic regressions were conducted to explore the composition of each typology by age and education. Participants were selected from the Canadian GENACIS survey (Gender, Alcohol, and Culture: An International Study) and comprised 871 men and 843 women (N = 1,714) aged between 18 and 77 years and being regular alcohol drinkers (consumption at least once a month). Respondents to the GENACIS questionnaire completed questions on use, contexts and reasons to drink as well as socio-economic questions (age and education), adjusted by Canadian province of residence., Results: Six profiles were distinguished among men and five among women. Men and women share four drinking patterns but present distinctive characteristics of drinking. We also observed variability in the relationship according to socio-economic status and gender., Conclusion: Our results confirmed the complexity and variability of drinking practices according to gender in Canada and the necessity to focus on gender and social dimensions in order to enhance our understanding of alcohol use. This study also reinforces the idea of adapting promotion strategies and interventions in public health by gender and social status in order to make them more efficient.

Alcohol and cocaine (COC) are commonly co-used drugs that cause addiction and have harmful effects. Their abuse may threaten the health of the abuser and public safety by causing serious accidents or crimes. The recidivism rate of drug-related crimes closely correlates with alcoholism. Several incidences of alcohol consumption in combination with drug abuse have been reported. Here, liquid chromatography tandem mass spectrometric method was developed to simultaneously analyze ethyl glucuronide (EtG), a metabolite of ethanol; COC; cocaethylene (CE), an alcohol-derived metabolite of COC; and benzoylecgonine (BZE), a major metabolite of COC, to determine the concurrent use of alcohol with COC. For pre-treatment, ultracentrifugation (5 min, 50,000 g) and mixed-mode anion exchange solid-phase extraction were used to increase the recovery of target compounds and minimize the matrix effect of hair. The lower limits of quantification were: 7 pg/mg (EtG), 2 pg/mg (COC), 10 pg/mg (CE), and 1 pg/mg (BZE). The correlation coefficient (r) of the calibration curve within the quantified range of target compounds was ≥ 0.9978. The intra- and inter-day accuracies were − 6.1–9.7% and − 9.3–8.3%, and intra- and inter-day precisions were 0.5–10.3% and 0.6–14.4%, respectively. The recovery, matrix effect, process efficiency, and autosampler stability were 89.2–104.8%, 81.6–105.4%, 81.5–107.1%, and 96.6–109.7%, respectively. The novel analytical method was validated with hair samples from individuals suspected of alcohol and COC use, and the method could distinguish between independent and concurrent use. Based on the findings, the analytical approach developed in this study is anticipated to be valuable in drug and alcohol dependence tests that require the simultaneous detection of alcohol and COC abuse. [ABSTRACT FROM AUTHOR]

Background: Migraine and epilepsy are two paroxysmal chronic neurological disorders affecting a high number of individuals and being responsible for a high individual and socioeconomic burden. The link between these disorders has been of interest for decades and innovations concerning diagnosing and treatment enable new insights into their relationship. Findings: Although appearing to be distinct at first glance, both diseases exhibit a noteworthy comorbidity, shared pathophysiological pathways, and significant overlaps in characteristics like clinical manifestation or prophylactic treatment. This review aims to explore the intricate relationship between these two conditions, shedding light on shared pathophysiological foundations, genetic interdependencies, common and distinct clinical features, clinically overlapping syndromes, and therapeutic similarities. There are several shared pathophysiological mechanisms, like CSD, the likely underlying cause of migraine aura, or neurotransmitters, mainly Glutamate and GABA, which represent important roles in triggering migraine attacks and seizures. The genetic interrelations between the two disorders can be observed by taking a closer look at the group of familial hemiplegic migraines, which are caused by mutations in genes like CACNA1A, ATP1A2, or SCN1A. The intricate relationship is further underlined by the high number of shared clinical features, which can be observed over the entire course of migraine attacks and epileptic seizures. While the variety of the clinical manifestation of an epileptic seizure is naturally higher than that of a migraine attack, a distinction can indeed be difficult in some cases, e.g. in occipital lobe epilepsy. Moreover, triggering factors like sleep deprivation or alcohol consumption play an important role in both diseases. In the period after the seizure or migraine attack, symptoms like speech difficulties, tiredness, and yawning occur. While the actual attack of the disease usually lasts for a limited time, research indicates that individuals suffering from migraine and/or epilepsy are highly affected in their daily life, especially regarding cognitive and social aspects, a burden that is even worsened using antiseizure medication. This medication allows us to reveal further connections, as certain antiepileptics are proven to have beneficial effects on the frequency and severity of migraine and have been used as a preventive drug for both diseases over many years. Conclusion: Migraine and epilepsy show a high number of similarities in their mechanisms and clinical presentation. A deeper understanding of the intricate relationship will positively advance patient–oriented research and clinical work. [ABSTRACT FROM AUTHOR]

Respiration stands as a vital process reflecting physiological and pathological human health status. Exhaled breath analysis offers a facile, non-invasive, swift, and cost-effective approach for diagnosing and monitoring diseases by detecting concentration changes of specific biomarkers. In this study, we employed Polyethylene oxide/copper (I) oxide composite nanofibers (PCNFs), synthesized via the electrospinning method as the sensing material to measure ethanol levels (1–200 ppm) in an exhaled breath simulator environment. The integrated contact-separation triboelectric nanogenerator was utilized to power the self-powered PCNFs exhaled breath sensor. The PCNFs-based gas sensor demonstrates promising results with values of 0.9 and 3.2 for detecting 5 ppm and 200 ppm ethanol, respectively, in the presence of interfering gas at 90% relative humidity (RH). Notably, the sensor displayed remarkable ethanol selectivity, with ratios of 10:1 to methanol and 25:1 to acetone. Response and recovery times for 200 ppm ethanol at 90 RH% were rapid, at 2.7 s and 5.8 s, respectively. The PCNFs-based exhaled breath sensor demonstrated consistent and stable performance in practical conditions, showcasing its potential for integration into wearable devices. This self-powered breath sensor enabling continuous monitoring of lung cancer symptoms and facilitating compliance checks with legal alcohol consumption limits. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Alcohol-related liver disease (ARLD) represents a major public health burden. Identification of high-risk individuals would allow efficient targeting of public health interventions. Here, we show significant interactions between pattern of drinking, genetic predisposition (polygenic risk score, PRS) and diabetes mellitus, and risk of incident ARLD, in 312,599 actively drinking adults in UK Biobank. Binge and heavy binge drinking significantly increase the risk of alcohol-related cirrhosis (ARC), with higher genetic predisposition further amplifying the risk. Further, we demonstrate a pronounced interaction between heavy binge drinking and high PRS, resulting in a relative excess risk due to interaction (RERI) of 6.07. Diabetes consistently elevates ARC risk across all drinking and PRS categories, and showed significant interaction with both binge patterns and genetic risk. Overall, we demonstrate synergistic effects of binge drinking, genetics, and diabetes on ARC, with potential to identify high-risk individuals for targeted interventions. Deaths from alcohol-related liver disease have sharply increased following the Covid-19 pandemic. Here, the authors show that binge-pattern alcohol consumption, genetic factors and the presence of diabetes mellitus confer the greatest risk, allowing targeted interventions for high-risk individuals. [ABSTRACT FROM AUTHOR]

Alcohol use (i.e., quantity, frequency) and alcohol use disorder (AUD) are common, associated with adverse outcomes, and genetically-influenced. Genome-wide association studies (GWAS) identified genetic loci associated with both. AUD is positively genetically associated with psychopathology, while alcohol use (e.g., drinks per week) is negatively associated or NS related to psychopathology. We wanted to test if these genetic associations extended to life satisfaction, as there is an interest in understanding the associations between psychopathology-related traits and constructs that are not just the absence of psychopathology, but positive outcomes (e.g., well-being variables). Thus, we used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genomic data (i.e., effects of genetic variants on constructs of interest) from large-scale GWAS of European ancestry individuals. Results suggest that the best-fitting model is a Bifactor Model, in which unique alcohol use, unique AUD, and common alcohol factors are extracted. The genetic correlation (rg) between life satisfaction-AUD specific factor was near zero, the rg with the alcohol use specific factor was positive and significant, and the rg with the common alcohol factor was negative and significant. Findings indicate that life satisfaction shares genetic etiology with typical alcohol use and life dissatisfaction shares genetic etiology with heavy alcohol use. [ABSTRACT FROM AUTHOR]

Objectives: A majority of population-based studies suggest prevalence of drug and alcohol risk behaviour increases during late adolescence to early adulthood. The purpose of this systematic literature review is to clarify if socio-economic status (SES) is a determinant of marijuana and alcohol risk behaviour in adolescents between the ages of 10-15 years., Methods: We performed a meta-analysis to identify published or unpublished papers between January 1, 1980 and February 9, 2007 that reviewed marijuana and alcohol risk behaviour by SES in adolescents aged 10-15 years., Synthesis: We found nine studies that fulfilled our inclusion criteria and passed the methodological quality review. The prevalence of marijuana and alcohol risk behaviour was 22% higher (RR = 1.22; 95% CI 1.14-1.31) in adolescents with low SES in comparison to adolescents with higher SES. Stratification by country of origin revealed that American and New Zealand studies had statistically significant variability in the reported effects as compared to European and UK studies., Discussion: The evidence suggests that low SES has an inverse association with the prevalence of marijuana and alcohol risk behaviour in adolescents between the ages of 10-15 years. Higher rates of marijuana and alcohol risk behaviour among lower SES adolescents may impact emotional development, limit future educational and occupational achievement, and increase the likelihood for adult marijuana and alcohol addiction., Conclusion: Lower SES adolescents have higher rates of marijuana and alcohol risk behaviour than higher SES adolescents.

It has been hypothesized that Laestadianism has contributed to the less drinking observed among indigenous Sami. This paper further investigates the bivariate protective influence of Sami ethnicity on youth drinking behavior using logistic regressions. We simultaneously controlled for the influence of religious revival movements (Laestadianism or evangelic) and religious importance (being personally Christian), in addition to socio-demographics and parental factors. Cross-sectional data from the 1994/95 North Norwegian Youth Study including 2,950 (675 Sami) 15-19 year-old high school students (RR: 85%) was used. Sami ethnicity was statistically significant for two out of six alcohol outcome measures, after adjustment for religiosity and other covariates, indicating less current drinking and party drinking. Religiousness was associated with higher youth and parental abstinence across ethnicities. Generally, stronger protective influences on drinking behavior were found for religious importance (being personally Christian) than religious affiliation (Laestadianism). The non-significance between Sami and non-Sami drinking may partly be explained by ethnic differences in religiosity, but also socio-demographics (e.g., residing in the Sami Highland) and parental factors (e.g., abstinence) contributed to such a result. Laestadianism`s profound impact on Sami culture, and its strong anti-alcohol norms may have contributed to a religious-socio-cultural context of abstinence. [ABSTRACT FROM AUTHOR]

Risk for alcohol dependence in humans has substantial genetic contributions. Successful rodent models generally attempt to address only selected features of the human diagnosis. Most such models target the phenotype of oral administration of alcohol solutions, usually consumption of or preference for an alcohol solution versus water. Data from rats and mice for more than 50 years have shown genetic influences on preference drinking and related phenotypes. This paper summarizes some key findings from that extensive literature. Much has been learned, including the genomic location and possible identity of several genes influencing preference drinking. We report new information from congenic lines confirming QTLs for drinking on mouse chromosomes 2 and 9. There are many strengths of the various phenotypic assays used to study drinking, but there are also some weaknesses. One major weakness, the lack of drinking excessively enough to become intoxicated, has recently been addressed with a new genetic animal model, mouse lines selectively bred for their high and intoxicating blood alcohol levels after a limited period of drinking in the circadian dark. We report here results from a second replicate of that selection and compare them with the first replicate. [ABSTRACT FROM AUTHOR]

The objective of this paper is to analyze interdependencies between cigarette and alcohol consumption in rural China, using panel data for 10 years (1994–2003) for rural areas of 26 Chinese provinces. There have been many studies in which cigarette and alcohol consumption have been considered separately but few to date for China on interactions between the consumption of these two products. Taxes are often recommended as a tool to reduce alcohol and cigarette consumption. If cigarettes and alcohol are complements, taxing one will reduce the consumption of both and thus achieve a double public health dividend. However, if they are substitutes, taxing one will induce consumers to increase consumption of the other, offsetting the public health benefits of the tax. Our results indicate that the demands for both cigarettes and alcohol are very sensitive to the price of alcohol, but not to the price of cigarettes or to income. This suggests that taxes on alcohol can have a double dividend. On the other hand, an increase in cigarette taxes may not be effective in curbing cigarette or alcohol consumption in rural China. [ABSTRACT FROM AUTHOR]

Abstract  Underage drinking is a major public health problem. Youth drink more heavily than adults and are more vulnerable to the adverse effects of alcohol. Previous research has demonstrated the connection between alcohol advertising and underage drinking. Restricting outdoor advertising in general and transit ads in particular, represents an important opportunity to reduce youth exposure. To address this problem, the Marin Institute, an alcohol industry watchdog group in Northern California, conducted a survey of alcohol ads on San Francisco bus shelters. The survey received sufficient media attention to lead the billboard company, CBS Outdoor, into taking down the ads. Marin Institute also surveyed the 25 largest transit agencies; results showed that 75 percent of responding agencies currently have policies that ban alcohol advertising. However, as the experience in San Francisco demonstrated, having a policy on paper does not necessarily mean it is being followed. Communities must be diligent in holding accountable government officials, the alcohol industry, and the media companies through which advertising occurs. [ABSTRACT FROM AUTHOR]

The brain renin–angiotensin system (RAS) participates importantly in the regulation of endocrine, autonomic, and behavioral response to stress. Recent data indicate that central action of AT1 receptor antagonists can reduce anxiety symptoms in experimental animals. Furthermore, central inhibition of RAS activity decreases ethanol intake in an animal model of alcoholism. Pathological anxiety responses and the development of substance dependence are both critically mediated through corticotrophin-releasing hormone (CRH) systems, and the RAS is positioned to interact both with hypothalamic as well as extrahypothalamic CRH systems. The thesis of this paper is that the RAS is part of the neurochemical dysregulation underlying negative affective states, anxiety disorders, and ethanol dependence and that medications targeting the RAS should be considered to augment the treatment of these disorders. [ABSTRACT FROM AUTHOR]

This paper estimates linear probability models for drinking prevalence and binge drinking by youth, young adults, and adults by using state-level estimates for 1999–2003 from the National Survey on Drug Use and Health. The regression models contain explanatory variables for economic influences (alcohol taxes, outlet density, income), demographics, and regulatory variables. The main results are, first, a positive relationship exists among youth and adult alcohol behaviors. Second, state-to-state variation in real beer taxes does not negatively affect youth behaviors. Third, higher outlet densities positively affect behaviors by young adults and adults, but do not affect youth. Fourth, several regulatory variables have a negative effect on drinking prevalence and bingeing by youth and young adults, including state liquor monopolies, Sunday closing laws, and 0.08 BAC laws for drunk driving. Fifth, attendance at sports events does not increase drinking prevalence or bingeing. [ABSTRACT FROM AUTHOR]

The article focuses on a study related to the benefits of moderate wine consumption. Authors of the article say that there has been much debate in the media about the potential health benefits of moderate wine consumption, and the components of wine that may be responsible. However, according to these authors, claims being made for resveratrol are unjustified. There is no evidence that it would provide these benefits as part of a normal diet even for wine drinkers. It is not a simple matter to extrapolate results of yeast studies to human health, especially when the studies on yeast used much higher concentrations of resveratrol than are available from wine drinking.

Misuse of alcohol is a significant public health problem, potentially resulting in unintentional injuries, motor vehicle crashes, drownings, and, perhaps of greatest concern, serious acts of violence, including assaults, rapes, suicides, and homicides. Although previous research establishes a link between alcohol consumption increased levels of violence, studies relating the density of alcohol outlets (e.g., restaurants, bars, liquor stores) and the likelihood of violent crime have been less common. In this paper we test for such a relationship at the small area level, using data from 79 neighborhoods in the city of Minneapolis, Minnesota. We adopt a fully Bayesian point of view using Markov chain Monte Carlo (MCMC) computational methods as available in the popular and freely available WinBUGS language. Our models control for important covariates (e.g., neighborhood racial heterogeneity, age heterogeneity) and also account for spatial association in unexplained variability using conditionally autoregressive (CAR) random effects. Our results indicate a significant positive relationship between alcohol outlet density and violent crime, while also permitting easy mapping of neighborhood-level predicted and residual values, the former useful for intervention in the most at-risk neighborhoods and the latter potentially useful in identifying covariates still missing from the fixed effects portion of the model. [ABSTRACT FROM AUTHOR]

In 1997 the Addiction Research Foundation of Ontario and Canadian Centre on Substance Abuse released updated guidelines for low-risk alcohol consumption. This paper presents the scientific rationale behind this statement. Important comprehensive overviews on the consequences of alcohol use were studied. Formal meta-analyses on morbidity and mortality were examined wherever possible. Individual elements from similar guidelines were investigated for their scientific foundation. Limited original analyses defined risk levels by average weekly consumption. The evidence reviewed demonstrated that placing limits on both daily intake and cumulative intake over the typical week is justifiable for the prevention of important causes of morbidity and mortality. Gender-specific limits on weekly consumption were also indicated. In these updated guidelines intended for primary prevention, days of abstinence are not necessarily recommended. Intoxication should be avoided and abstinence is sometimes advisable. Available evidence does not strongly favour one alcoholic beverage over another for cardiovascular health benefits.

This paper presents two studies of factors affecting developmental outcomes of young children exposed prenatally to drugs and alcohol. In Study One, descriptive analyses of 38 children and families indicated that, as a group, children scored lower on assessed cognitive and language development, that two rates of oral language and negative behavior by children were associated with these developmental areas, and that several child-caregiver interactions were associated with these differential rates of child behaviors. In Study Two, intervention targets were selected from Study One and manipulated in multiple-baseline fashion across two pairs of children. Results demonstrated increased rates of all identified ecobehavioral variables for three of four parents or other adult caregivers, with concomitant increases in rates of child language production during play activities. [ABSTRACT FROM AUTHOR]

Men and women differ in their use of alcohol, in their rates of chronic illnesses and psychological symptoms, and in the social support they receive. In this paper, we assess how the latter three factors are associated with alcohol use, and how these associations differ by gender. Respondents were 3,074 male and 3,947 female randomly selected Health Maintenance Organization members who responded to a mail survey in 1990. Hierarchical multiple regression analyses indicate that social support is associated with alcohol consumption in similar ways for both genders, yet the associations between some demographic, physical health/functioning, and psychological well-being measures are different for men and women. Men with fewer role limits due to physical health drank more , while women with better psychological well-being drank less . Poor psychological well-being may be a modifiable risk factor for increased alcohol use among women; practitioners should be alert for greater consumption among men with few functional limitations and good health. [ABSTRACT FROM AUTHOR]

Brain-Derived Neurotrophic Factor (BDNF) is a vital protein involved in neuronal development, survival, and plasticity. Alcohol consumption has been implicated in various neurocognitive deficits and neurodegenerative disorders. However, the impact of alcohol on BDNF blood levels remains unclear. This systematic review and meta-analysis aimed to investigate the effect of alcohol consumption on BDNF blood levels. A comprehensive search of electronic databases was conducted to identify relevant studies. Eligible studies were selected based on predefined inclusion criteria. Data extraction was performed, and methodological quality was assessed using appropriate tools. A meta-analysis was conducted to estimate the overall effect size of alcohol consumption on BDNF levels. A total of 25 studies met the inclusion criteria and were included in the final analysis. Alcohol use and BDNF blood levels were significantly correlated, according to the meta-analysis (p = 0.008). Overall, it was discovered that drinking alcohol significantly decreased BDNF levels (SMD: − 0.39; 95% CI: − 0.68 to − 0.10; I2: 93%). There was a non-significant trend suggesting that alcohol withdrawal might increase BDNF levels, with an SMD of 0.26 (95% CI: − 0.09 to 0.62; I2: 86%; p = 0.14). Subgroup analysis based on the source of BDNF demonstrated significant differences between the subgroups (p = 0.0008). No significant publication bias was observed. This study showed that alcohol consumption is associated with a significant decrease in BDNF blood levels. The findings suggest a negative impact of alcohol on BDNF levels regardless of alcohol dosage. Further studies are needed to strengthen the evidence and elucidate the underlying mechanisms. [ABSTRACT FROM AUTHOR]

Background: We examined differences in blood pressure (BP) levels between first-generation immigrants and natives in adult residents in Northeast Italy, and investigated the role of lifestyle behaviors, body mass index (BMI), and education as potentially modifiable mediating factors. Methods: We included 20–69-year-old participants from the Health Surveillance Program of the Veneto Region (n = 37,710). Immigrants born in a high migratory pressure country (HMPC) were further grouped into geographical macro-areas. The outcomes were systolic BP (SBP) and hypertension. Multiple mediation analyses were performed to determine the contribution of each mediator of the SBP/migrant status association. Results: Of the 37,380 subjects included, 8.7% were born in an HMPC. BMI, education, alcohol, sweets and meat consumption were included as potential mediators. A small advantage in SBP was seen for immigrants compared to natives (β = – 0.71,95%CI – 1.30; – 0.10). The direct effect (net of the covariates) of immigrant status on SBP was a reduction of 1.62 mmHg (95%CI – 2.25; – 0.98). BMI played the highest suppressive role (β = 1.14,95%CI 0.99; 1.35), followed by education. Alcohol consumption amplified the health advantage of immigrants. The suppressing effect of BMI was particularly evident among women and North Africans compared to natives. Similar results were seen for hypertension rates. Conclusions: Although causation cannot be proven given the cross-sectional design, our findings identify BMI as the most effective target to preserve the health advantage of immigrants with respect to BP levels. [ABSTRACT FROM AUTHOR]

Background: Headache is one of the most common neurological symptoms. Many previous studies have indicated a relationship between primary headaches and alcohol. Drinking has been associated with increased risk of tension-type headache (TTH) and migraine. However, recently published studies have not confirmed this relationship. The existing literature is inconclusive; however, migraine patients avoid alcohol. Therefore, the primary objective was to provide a reliable assessment of alcohol intake in people with primary headaches; the secondary objective was to identify any potential relationship between alcohol consumption and headache risk. Methods: This study was based on PubMed, Embase and Web of Science database searches performed on 11 July 2023. This systematic review was registered in PROSPERO (CRD42023412926). Risk of bias for the included studies was assessed using the Joanna Briggs Institute critical appraisal tools. Meta-analyses were performed using Statistica software. The Risk Ratio (RR) was adopted as the measure of the final effect. Analyses were based on a dichotomous division of the respondents into "non-drinkers" and "drinkers" for headache patients and matched non-headache groups. Results: From a total of 1892 articles, 22 were included in the meta-analysis. The majority demonstrated a moderate or high risk of bias. The first part of the meta-analysis was performed on data obtained from 19 migraine studies with 126 173 participants. The risk of migraine in alcohol drinkers is approximately 1.5 times lower than in the group of non-drinkers (RR = 0.71; 95% CI: 0.57–0.89). The second part involved 9 TTH studies with 28 715 participants. No relationship was found between TTH diagnosis and alcohol consumption (RR = 1.09; 95% CI: 0.93–1.27). Two of the included cluster-headache articles had inconclusive results. Conclusions: Alcohol consumption and migraine are inversely correlated. The exact mechanism behind this observation may indicate that migraine leads to alcohol-avoidance, rather than alcohol having any protective role against migraine. There was no relationship between TTH and drinking. However, further studies related to primary headaches and alcohol consumption with low risk of bias are required. Additionally, patients and physicians should consider the latest medical data, in order to avoid the myths about alcohol consumption and primary headaches. [ABSTRACT FROM AUTHOR]

Public and political concern and action focussed on the problem of drinking and driving during the 1980s was unprecedented. This paper examines the impact of these collective efforts by analyzing trends in the magnitude of the alcohol crash problem in Canada as reflected by drinking driver fatalities. After many years of little or no change in the magnitude of the drinking-driving problem, beginning in the early 1980s, both the number and percent of drinking driver fatalities began to decline. This trend continued over the entire decade. Despite these gains, a significant problem remains, in particular drivers with very high blood alcohol concentrations who appear to be relatively unaffected by countermeasures based on traditional measures such as deterrence and persuasion. New, innovative programs will be necessary to deal effectively with this "hard core" heavy drinking group.