21 April 2016 In Drinking & Eating Patterns

To examine the association between socioeconomic status (SES) and adolescent alcoholic beverage preferences and the associated drinking patterns in China. The study used cross-sectional data collected from 136 junior or senior high schools, using a self-administered questionnaire. A total number of 7,075 subjects of drinking students were selected from three metropolises (Beijing, Shanghai, and Guangzhou) via a two-stage stratified sampling method. Among the adolescent drinkers, 87.8% (95% CI: 86.5-89.0) reported that they drunk alcohol during the past years preceding the study, while 42.4% (95% CI: 40.4-44.4) of the subjects stated that they had drunk alcohol during the past 30 days. There were gradual increases in the usual quantity (>1 Standard Drink, SD) of alcoholic beverages with increasing SES, with highest rates reported by the high-level SES. Beer and grape wine were the most widely consumed alcoholic beverage, regardless of SES. Our findings suggest that high-level SES students have an increasing prevalence of drinking behaviour. Their confirmation by future studies which extend the sampling regions is required to further the prevention of adolescent alcohol abuse in China.

22 March 2016 In Drinking & Eating Patterns

BACKGROUND: Studies conducted on characteristics of binge drinking and associated behaviours in college student populations are scarce especially in France. Hence, it is important to identify risk factors for binge drinking at university, especially those which may be changed. The aim of this study was to assess the prevalence of binge drinking and associated behaviours across a large sample of college students in Upper Normandy (France).

METHODS: A cross sectional study was performed between November 2009 and February 2013 and data on socioeconomic characteristics and behavioural risk factors were collected: alcohol (consumption and misuse of alcohol, occasional and frequent binge drinking), tobacco, cannabis, cyberaddiction, stress and depression. An anonymous self-administered questionnaire was filled out by college student volunteers from Upper Normandy (France) either online or by paper questionnaire. Analyses were performed using multivariate logistic regression models.

RESULTS: A total of 3286 students were included. The mean (Standard Deviation (SD)) age of students was 20.8 years (SD = 2.1) with a male-female ratio of 0.60. The prevalence of binge drinking in the never, occasional and frequent categories was respectively 34.9 %, 51.3 %, and 13.8 %. The mean number of units of alcohol consumed per week (except BD episodes) was 0.78 for never, 3.7 for occasional and 10.5 for frequent binge drinkers (p < 0.0001). A positive relation was observed between frequent binge drinking and the following: male gender (AOR 4.77 95 % CI (3.43-6.63); p < 0.0001), living in rented accommodation AOR 1.70 95 % CI (1.21-2.40; p < 0.0001), attending business school AOR 4.72 95 % CI (2.76-8.08; p < 0.0001), regular practice of sport AOR 1.70 95 % CI (1.24-2.34; p = 0.001), smoking AOR 5.89 95 % CI (4.03-8.60; p < 0.0001), occasional cannabis use AOR 12.66 95 % CI (8.97-17.87;p < 0.0001), and alcohol abuse AOR 19.25 95 % CI (13.4-27.72; p < .0001). A negative association was observed between frequent binge drinking and grant holder status, living in couples, and stress.

CONCLUSIONS: This study highlights the spread of binge drinking among college students and identifies student populations at risk: male gender, living in rented accommodation, regular practice of sport, and other risk behaviours such as use of tobacco, cannabis and alcohol. These behaviours increase with the frequency of binge drinking.

22 March 2016 In General Health

PURPOSE: This work was aimed to study the relationships of moderate alcohol intake and the type of beverages consumed with health behaviors and quality of life in elderly people.

METHODS: In this observational study, 231 subjects (55-85 years) voluntarily answering to advertisements were enrolled and divided in three study groups: abstainers and occasional consumers (ABS; n = 98), moderate drinkers of beer (BEER; n = 63) and moderate drinkers of all sorts of alcoholic beverages (MIXED; n = 70). Variables assessed included physical activity, activities of daily living, Mediterranean diet-adherence score, tobacco consumption, quality of sleep, body composition, medication and perception of health through the SF-36 questionnaire. Their relationship with alcohol consumption was assessed through general linear models including confounding variables (age, sex, chronic disease prevalence and socioeconomic status). ABS were also compared to moderate drinkers (MOD = BEER + MIXED).

RESULTS: The mean daily alcohol consumption in each group was (mean +/- SD): ABS: 0.7 +/- 1.1; BEER: 12.7 +/- 8.1; MIXED: 13.9 +/- 10.2 g/day. MOD and MIXED showed significantly higher physical activity (metabolic standard units; METs) than ABS (p = 0.023 and p = 0.004, respectively). MOD spent significantly less time doing housework activities than ABS (p = 0.032). Daily grams of alcohol consumption were significantly associated with METs (B = 21.727, p = 0.023). Specifically, wine consumption (g/day) was associated with METs (B = 46.196, p = <0.001) and showed borderline significant relationships with mental health (B = 0.245, p = 0.062) and vitality perception (B = 0.266, p = 0.054).

CONCLUSION: Moderate alcohol consumption, and in particular wine consumption, is associated with a more active lifestyle and better perception of own health in the Spanish elderly subjects studied.

22 March 2016 In Diabetes

OBJECTIVES: There is now good evidence that central obesity carries more health risks compared with total obesity assessed by body mass index (BMI). It has therefore been suggested that waist circumference (WC), a proxy for central obesity, should be included with BMI in a 'matrix' to categorise health risk. We wanted to compare how the adult UK population is classified using such a 'matrix' with that using another proxy for central obesity, waist-to-height ratio (WHtR), using a boundary value of 0.5. Further, we wished to compare cardiometabolic risk factors in adults with 'healthy' BMI divided according to whether they have WHtR below or above 0.5.

SETTING, PARTICIPANTS AND OUTCOME MEASURES: Recent data from 4 years (2008-2012) of the UK National Diet and Nutrition Survey (NDNS) (n=1453 adults) were used to cross-classify respondents on anthropometric indices. Regression was used to examine differences in levels of risk factors (triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), TC: HDL, glycated haemoglobin (HbA1c), fasting glucose, systolic (SBP) and diastolic blood pressure (DBP)) according to WHtR below and above 0.5, with adjustment for confounders (age, sex and BMI).

RESULTS: 35% of the group who were judged to be at 'no increased risk' using the 'matrix' had WHtR >/=0.5. The 'matrix' did not assign 'increased risk' to those with a 'healthy' BMI and 'high' waist circumference. However, our analysis showed that the group with 'healthy' BMI, and WHtR >/=0.5, had some significantly higher cardiometabolic risk factors compared to the group with 'healthy' BMI but WHtR below 0.5.

CONCLUSIONS: Use of a simple boundary value for WHtR (0.5) identifies more people at 'early health risk' than does a more complex 'matrix' using traditional boundary values for BMI and WC. WHtR may be a simpler and more predictive indicator of the 'early heath risks' associated with central obesity.

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