03 June 2019 In Drinking Patterns

OBJECTIVE: A retrospective case-control study was conducted to evaluate whether frequent binge drinking between the age of 18 and 25 years was a risk factor for alcohol dependence in adulthood.

SETTING: The Department of Addictive Medicine and the Clinical Investigation Center of a university hospital in France.

PARTICIPANTS: Cases were alcohol-dependent patients between 25 and 45 years and diagnosed by a psychiatrist. Consecutive patients referred to the Department of Addictive Medicine of a university hospital between 1 January 2017 and 31 December 2017 for alcohol dependence were included in the study. Controls were non-alcohol-dependent adults, defined according to an Alcohol Use Disorders Identification Test score of less than 8, and were matched on age and sex with cases. Data on sociodemographics, behaviour and alcohol consumption were retrospectively collected for three life periods: before the age of 18 years; between the age of 18 and 25 years; and between the age of 25 and 45 years. Frequency of binge drinking between 18 and 25 years was categorised as frequent if more than twice a month, occasional if once a month and never if no binge drinking.

RESULTS: 166 adults between 25 and 45 years were included: 83 were alcohol-dependent and 83 were non-alcohol-dependent. The mean age was 34.6 years (SD: 5.1). Frequent binge drinking between 18 and 25 years occurred in 75.9% of cases and 41.0% of controls (p<0.0001). After multivariate analysis, frequent binge drinking between 18 and 25 years was a risk factor for alcohol dependence between 25 and 45 years: adjusted OR=2.83, 95% CI 1.10 to 7.25.

CONCLUSIONS: Frequent binge drinking between 18 and 25 years appears to be a risk factor for alcohol dependence in adulthood. Prevention measures for binge drinking during preadulthood, especially frequent binge drinking, should be implemented to prevent acute consequences as injury and death and long-term consequences as alcohol dependence.

TRIAL REGISTRATION NUMBER: NCT03204214; Results.

26 February 2019 In Drinking & Eating Patterns

Low-risk thresholds for alcohol use differ across various national guidelines. To assess the novel WHO risk drinking levels in light of alcohol-sensitive common laboratory tests, we analysed biomarkers of liver status, inflammation and lipid profiles from a population-based survey of individuals classified to abstainers and different WHO risk drinking levels defined in terms of mean alcohol consumption per day. The study included 22,327 participants aged 25-74 years from the National FINRISK Study. Data on alcohol use, health status, diet, body weight and lifestyle (smoking, coffee consumption and physical activity) were recorded from structured interviews. Alcohol data from self-reports covering the past 12 months were used to categorize the participants into subgroups of abstainers and WHO risk drinking categories representing low, moderate, high and very high risk drinkers. Serum liver enzymes (GGT, ALT), C-reactive protein (CRP) and lipid profiles were measured using standard laboratory techniques. Alcohol risk category was roughly linearly related with the occurrence of elevated values for GGT, ALT and CRP. Alcohol drinking also significantly influenced the incidence of abnormalities in serum lipids. Significantly higher odds for abnormal GGT, ALT and altered lipid profiles remained in alcohol drinkers even after adjustment for age, waist circumference, physical inactivity, smoking and coffee consumption. A more systematic use of laboratory tests during treatment of individuals classified to WHO risk drinking categories may improve the assessment of alcohol-related health risks. Follow-ups of biomarker responses may also prove to be useful in health interventions aimed at reducing alcohol consumption.

26 February 2019 In Drinking & Eating Patterns

Reduction of excessive alcohol consumption still remains a significant challenge to the actions in the scope of public health of European citizens. The aim of this study is to present the prevalence of alcohol consumption and to estimate the occurrence of risky drinking among college students from the Polish, Slovak, Romanian, and Ukrainian parts of the Carpathian Euroregion, taking social contexts into account. The consumption of alcohol was estimated on the basis of the respondents' statements regarding the quantity and frequency of their consumption of beer, wine, and vodka. The study included people from the first year of undergraduate studies. The analysis used the Chi-square independence test and odds ratios (ORs). There were significant differences in the frequency of alcohol consumption, as well as the individual types consumed, among the respondents from the analyzed countries. Of the examined college students, 70% admit to occasional drinking. The pattern of dangerous alcohol consumption occurs in the case of approximately every seventh person. Risky drinking occurs with much greater frequency among male students rather than their female counterparts. In Romania, a very small percentage of female students engage in risky drinking. The analysis did not show statistically significant differences in the frequency of risky drinking between countries. The coexistence of other adverse health behaviors, such as smoking and alcohol abuse, was confirmed.

 

Reference/Source 

Zadarko-Domaradzka,M.; Barabasz,Z.; Sobolewski,M.; Niziol-Babiarz,E.; Penar-Zadarko,B.; Szybisty,A.; Zadarko,E.

Alcohol Consumption and Risky Drinking Patterns among College Students from Selected Countries of the Carpathian Euroregion

Biomed.Res.Int. 2018

26 February 2019 In Cancer

PURPOSE: Breast cancer (BC) risk prediction allows systematic identification of individuals at highest and lowest risk. We extend the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk model to incorporate the effects of polygenic risk scores (PRS) and other risk factors (RFs).

METHODS: BOADICEA incorporates the effects of truncating variants in BRCA1, BRCA2, PALB2, CHEK2, and ATM; a PRS based on 313 single-nucleotide polymorphisms (SNPs) explaining 20% of BC polygenic variance; a residual polygenic component accounting for other genetic/familial effects; known lifestyle/hormonal/reproductive RFs; and mammographic density, while allowing for missing information.

RESULTS: Among all factors considered, the predicted UK BC risk distribution is widest for the PRS, followed by mammographic density. The highest BC risk stratification is achieved when all genetic and lifestyle/hormonal/reproductive/anthropomorphic factors are considered jointly. With all factors, the predicted lifetime risks for women in the UK population vary from 2.8% for the 1st percentile to 30.6% for the 99th percentile, with 14.7% of women predicted to have a lifetime risk of >/=17-<30% (moderate risk according to National Institute for Health and Care Excellence [NICE] guidelines) and 1.1% a lifetime risk of >/=30% (high risk).

CONCLUSION: This comprehensive model should enable high levels of BC risk stratification in the general population and women with family history, and facilitate individualized, informed decision-making on prevention therapies and screening.

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