This study examines the co-occurrence of four health risk behaviors (i.e., smoking, high-fat diet, sedentariness, and high-risk drinking) and demographic and psychosocial variables associated with number of RBs in a sample of members of a health maintenance organization who participated in the Seasonal Variation in Cholesterol (Seasons) study.
In a study in the International Journal of Entrepreneurship and Small Business, the pair looked at successive generations and their approach to wine drinking, dividing the demographic into four groups.
College students (n = 177) completed measures of social tolerance, social desirability, drinking rates, and demographic information at baseline, 2-week, and 4-week follow-up assessments to assess test retest reliability.
Similarly in health psychology, a model of how individuals interact was developed to explain binge drinking (outcome) given demographic information and drinking motives [ 10].
We expected similar patterns of relationships between drinking outcomes and demographic variables, alcohol outcome expectancies, mental health symptoms and family history in Sweden and the USA.
However, that study found that under-reporting is probably more to do with the drinking pattern than demographic or social factors, which means that respondents classified as at higher risk might be under-reporting their consumption more than those drinking at safer levels.
Does the male beer-drinking, football watching demographic support their hometown senator, Hillary Clinton, or the Chicago Bears-loving Barack Obama?
Logistic regression was used to assess the association between heavy drinking and socio-demographic variables, mental illnesses and physical disorders.
We also evaluated correlations between heavy drinking and socio-demographic factors and the concomitant presence of self-reported physical conditions and psychiatric conditions (based on DSM-IV criteria).
