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AIMS: To (1) measure the aggregated effect size of empathy deficits in individuals with alcohol use disorder (AUD) compared with healthy controls, (2) measure the aggregated effect sizes for associations between lower empathy and heavier alcohol consumption and more alcohol problems in non-clinical samples and (3) identify potential moderators on the variability of effect sizes across studies in these meta-analyses. METHOD: PsycINFO, PubMed and Google Scholar were searched following a pre-registered International Prospective Register of Systematic Reviews (PROSPERO) protocol (CRD42021225392) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. We meta-analyzed (using random-effects models) mean differences in empathy between individuals with AUD compared with healthy controls and associations between empathy and alcohol consumption and alcohol problems in non-clinical samples. A total of 714 participants were included in the meta-analysis on clinical samples; 3955 were included in the meta-analyses on non-clinical samples. RESULTS: Individuals with AUD reported significantly lower empathy than healthy controls [Hedges' g = -0.53, 95% confidence interval (CI) = -0.91, -0.16, k = 9, P < 0.01, Q = 40.09, I2 = 80.04]. Study quality [Q = 1.88, degrees of freedom (d.f.) = 1, P = 0.17] and gender (ß = -0.006, Z = -0.60, P = 0.55) were not moderators. Increases in age corresponded to an increase in effect size (ß = 0.095, Z = 3.34, P < 0.001). Individuals with AUD (versus healthy controls) had significantly lower cognitive (Hedges' g = -0.44, CI = -0.79, -0.10, P < 0.05), but not affective empathy (Hedges' g = -0.19, CI = -0.51, 0.14, P = 0.27), and the difference between these was significant (Z = 2.34, k = 6, P < 0.01). In non-clinical samples, individuals with lower (versus higher) empathy reported heavier alcohol consumption (r = -0.12, CI = -0.15, -0.09, k = 11, P < 0.001, Q = 9.68, I2 = 0.00) and more alcohol problems (r = -0.08, CI = -0.14, -0.01, k = 7, P = 0.021, Q = 6.55, I2 = 8.34). There was no significant heterogeneity across studies. CONCLUSION: Individuals with alcohol use disorder appear to show deficits in empathy compared with healthy controls. Deficits are particularly pronounced for older individuals and for cognitive (versus affective) empathy. In non-clinical samples, lower empathy appears to be associated with heavier alcohol consumption and more alcohol problems.

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OBJECTIVES: This study estimates the national prevalence of drinking patterns (current, heavy, and binge) and the associated factors, among older Brazilians. DESIGN: Cross-sectional study using survey data from ELSI-Brazil (2015-2016). SETTING/PARTICIPANTS: A total of 7839 adults aged 50 years or older. MEASUREMENTS: Respondents were asked about alcohol drinking. Alcohol consumption status was categorized as current drinkers (last month), heavy drinkers (≥7 drinks/week for females and ≥14 drinks/week for males), and binge drinkers (≥4 drinks on one occasion for females and ≥5 drinks on one occasion for males). Covariates included sociodemographic characteristics, tobacco smoking, depression, and number of chronic diseases. RESULTS: Of the 7839 participants, 29.4% were current drinkers, 5.1% were heavy drinkers, and 10.3% reported binge drinking. In the ≥60 years old age group, the prevalence of current drinking was 23.8%, 3.9% were heavy drinkers, and 6.7% reported binge drinking. All drinking patterns had similar associated factors: being male, being younger, having higher education, tobacco smoking, and falls. In addition, the greater the number of chronic conditions, the lower the prevalence of current drinking and binge drinking. CONCLUSION: Heavy drinking and binge drinking are often reported by older Brazilians, particularly among males, those with higher education and in the younger age groups. These behaviors can negatively affect the health of older adults. It is, therefore, important to identify the problems related to alcohol consumption among older adults to minimize the risks and harms.

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RESUMO Objetivo Identificar entre os universitários da área da saúde de uma universidade brasileira a prevalência, o perfil do consumo de álcool e a prática do beber pesado episódico (BPE). Métodos Estudo transversal, quantitativo, com amostra randomizada dos universitários dos 12 cursos da saúde. Foram aplicados questionários individualizados, em formulário eletrônico, utilizando a escala AUDIT, após consentimento informado. Foi realizada análise estatística descritiva e inferencial. Resultados Entre os 619 estudantes selecionados, a prevalência de consumo de álcool foi de 85%, com perfil do consumo de baixo risco (77,1%). Consumo nocivo e provável dependência foram detectados em 2,7%. A prática do BPE foi de 51,6%, quase o dobro em comparação com outros estudos. As características que mais se associaram ao consumo de álcool foram: ser solteiro, do sexo masculino e frequentar festas semanalmente. Conclusão O consumo de álcool é elevado entre os estudantes avaliados, embora a maioria esteja no perfil de baixo risco. Contudo, fica evidente a necessidade de ações educativas para a promoção da saúde do estudante, visando à redução e ao consumo consciente de bebidas alcoólicas.

ABSTRACT Objective To identify among university students of the health area of a Brazilian university the prevalence, alcohol consumption profile and the practice of episodic heavy drinking (EHD). Methods A cross-sectional, quantitative study with a randomized sample of university students from 12 health courses. Individual questionnaires were used, in an electronic form, using the AUDIT scale, after informed consent. Descriptive and inferential statistical analysis were performed. Results Among the 619 students selected, the prevalence of alcohol consumption was 85%, profile of low risk consumption (77.1%). Harmful consumption and probable dependence were detected in 2.7%. The HDE practice was 51.6%, almost double when compared to other studies. The characteristics that were most associated with alcohol consumption were: being single, male and attending parties weekly. Conclusion Alcohol consumption is high among the students evaluated, although most are in the low risk profile. However, it is evident the need for educational actions to promote student health, aiming at the reduction and conscious consumption of alcoholic beverages.

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BACKGROUND: Previous studies have found mixed results about cigarette and alcohol consumption patterns among rural-to-urban migrants. Moreover, there are limited longitudinal data about consumption patterns in this population. As such, this study aimed to compare the smoking and heavy drinking prevalence among rural, urban, and rural-to-urban migrants in Peru, as well as the smoking and heavy drinking incidence in a 5-year follow-up. METHODS: We analyzed the PERU MIGRANT Study data from rural, urban, and rural-to-urban migrant populations in Peru. The baseline study was carried out in 2006-2007 and follow-up was performed five years later. For the baseline data analysis, the prevalence of lifetime smoking, current smokers, and heavy drinking was compared by population group using prevalence ratios (PR) and 95% confidence intervals (95% CI). For the longitudinal analysis, the incidence of smoking and heavy drinking was compared by population group with risk ratios (RR) and 95% CI. Poisson regression with robust variance was used to calculate both PRs and RRs. RESULTS: We analyzed data from 988 participants: 200 rural dwellers, 589 migrants, and 199 urban dwellers. Compared with migrants, lifetime smoking prevalence was higher in the urban group (PR = 2.29, 95% CI = 1.64-3.20), but lower in the rural group (PR = 0.55, 95% CI = 0.31-0.99). Compared with migrants, the urban group had a higher current smoking prevalence (PR = 2.29, 95% CI = 1.26-4.16), and a higher smoking incidence (RR = 2.75, 95% CI = 1.03-7.34). Current smoking prevalence and smoking incidence showed no significant difference between rural and migrant groups. The prevalence and incidence of heavy drinking was similar across the three population groups. CONCLUSIONS: Our results show a trend in lifetime smoking prevalence (urban > migrant > rural), while smoking incidence was similar between migrant and rural groups, but higher in the urban group. In addition, our results suggest that different definitions of smoking status could lead to different smoking rates and potentially different measures of association. The prevalence and incidence of heavy drinking were similar between the three population groups.

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Summary Objective: Wake-up stroke (WUS) is defined when the exact time of the beginning of the symptoms cannot be determined, for the deficits are perceived upon awakening. Sleep alterations are important risk factors for stroke and cardiovascular diseases. This study evaluates the characteristics of patients with and without WUS, the presence of daytime sleepiness, and associated risk factors. Method: Patients with ischemic stroke were investigated about the presence of WUS. Clinical and demographic characteristics were evaluated. Stroke severity was studied by the National Institutes of Health Stroke Scale (NIHSS) and the Modified Rankin Scale (MRS), and daytime sleepiness severity was studied by the Epworth Sleepiness Scale (ESS). Results: Seventy patients (57.1% men) aged from 32 to 80 years (58.5±13.3) were studied. WUS was observed in 24.3%. Arterial hypertension (67.1%), type 2 diabetes (27.1%), and hyperlipidemia (22.8%) were frequent. Type 2 diabetes and sedentary lifestyle were more common in patients with WUS (p<0.05). Overall, mild, moderate or very few symptoms of stroke (NIHSS<5) were predominant (62.3%). Among all cases, 20% had excessive daytime sleepiness (ESS>10). No differences were found between patients with and without WUS as regards stroke severity or excessive daytime sleepiness. Patients with excessive daytime sleepiness were younger and had more sedentary lifestyle (p<0.05). Individuals with previous history of heavy drinking had more daytime sleepiness (p=0.03). Conclusion: Wake-up stroke occurs in approximately 25% of stroke cases. In this study, patients with WUS had more diabetes and sedentary lifestyle. Daytime sleepiness is frequent and is associated with sedentary lifestyle and heavy drinking.

Resumo Objetivo: wake-up stroke (WUS) define o acidente vascular cerebral (AVC) que ocorre sem horário preciso de início, pois os sintomas manifestam-se ao despertar. Alterações do sono associam-se a maior risco de AVC e doenças cardíacas. Este estudo avalia as características dos pacientes com e sem WUS, a presença de sonolência diurna e os fatores de risco associados. Método: pacientes com AVC isquêmico foram identificados quanto à presença de WUS. Foram avaliadas as características clínico-demográficas, a gravidade do AVC pela National Institutes of Health Stroke Scale (NIHSS) e pela Modified Rankin Scale (MRS) e o grau de sonolência pela Epworth Sleepiness Scale (ESS). Resultados: setenta pacientes (57,1% homens) com idade entre 32 e 80 anos (58,5±13,3) foram estudados. Wake-up stroke foi observado em 24,3% dos casos. Hipertensão arterial sistêmica (67,1%), diabetes (27,1%) e distúrbio do metabolismo lipídico (22,8%) foram frequentes. Diabetes e hábitos sedentários foram mais comuns nos casos com WUS (p<0,05). Na amostra total, 62,3% dos casos apresentavam AVC leve, moderado ou com poucos sintomas (NIHSS<5). Sonolência excessiva diurna (SED) (ESS>10) foi identificada em 20% dos pacientes. Não houve diferença entre os grupos com e sem WUS quanto à gravidade do AVC e o grau de sonolência. Pacientes com SED eram mais jovens e mais sedentários (p<0,05). Os indivíduos com etilismo tinham maior grau de sonolência (p=0,03). Conclusão: wake-up stroke manifesta-se em 25% dos casos de AVC isquêmico. Neste estudo, os pacientes com WUS apresentaram mais diabetes e sedentarismo. Sonolência diurna é frequente e associa-se a hábitos sedentários e etilismo.

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INTRODUCTION: Little epidemiological evidence exists on alcohol or other substance use and related problems along the U.S.-Mexico border, although the border has been the focus of recent media attention related to the escalating drug/violence "epidemic". The purpose of this study was to analyze the association of variables related to crossing the border (cross-border mobility) with three substance use outcomes reported for the last year: 1) heavy drinking (5+ drinks per day for men or 4+ for women), 2) alcohol use disorder (AUD), and 3) co-occurring heavy drinking and drug use (any use of illicit and/or non-medically prescribed drugs). METHODS: Household surveys were conducted, using area probability sampling of 1565 Mexican-American residents, aged 18-65, living at the Texas-Mexico border in the metropolitan areas of Laredo and McAllen/Brownsville. RESULTS: Among those 18-29, more frequent crossing of the border was significantly predictive of AUD (OR = 1.61, p < 0.01) and co-occurring heavy drinking and drug use (OR = 1.70, p < 0.01). Staying more than one full day was predictive of AUD (OR = 3.07, p < 0.001) and crossing to obtain over-the-counter or prescription drugs ("drug tourism") or for nightlife/drinking were predictive of heavy drinking (ORs = 4.14, p < 0.001; 3.92, p < 0.01, respectively), AUD (ORs = 7.56, p < 0.001; 7.68, p < 0.01, respectively) and co-occurring heavy drinking and drug use (ORs = 8.53, p < 0.01; 4.96, p < 0.01, respectively). Among those 30-65, staying more than a full day and crossing for pharmaceutical reasons were predictive of heavy drinking (OR = 2.54, p < 0.001; 2.61, p < 0.05, respectively) and co-occurring heavy drinking and drug use (OR = 3.31, p < 0.001; 4.86, p < 0.01, respectively), while none of the mobility variables were predictive of AUD in this age group. CONCLUSIONS: Cross-border mobility may play an important role in substance use and problems, especially among those 18-29. Findings also highlight the importance of "drug tourism" in substance use across the age spectrum.

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