Vulnerability to adverse consequences of drinking and problem drinker status as predicted by risky drinking behaviours, drug use, sex differences and affect : a test of multiple models /

Although alcohol problems and alcohol consumption are related, consumption does not fully account for differences in vulnerability to alcohol problems. Therefore, other factors should account for these differences. Based on previous research, it was hypothesized that risky drinking behaviours, illicit and prescription drug use, affect and sex differences would account for differences in vulnerability to alcohol problems while statistically controlling for overall alcohol consumption. Four models were developed that were intended to test the predictive ability of these factors, three of which tested the predictor sets separately and a fourth which tested them in a combined model. In addition, two distinct criterion variables were regressed on the predictors. One was a measure of the frequency that participants experienced negative consequences that they attributed to their drinking and the other was a measure of the extent to which participants perceived themselves to be problem drinkers. Each of the models was tested on four samples from different populations, including fIrst year university students, university students in their graduating year, a clinical sample of people in treatment for addiction, and a community sample of young adults randomly selected from the general population. Overall, support was found for each of the models and each of the predictors in accounting for differences in vulnerability to alcohol problems. In particular, the frequency with which people become intoxicated, frequency of illicit drug use and high levels of negative affect were strong and consistent predictors of vulnerability to alcohol problems across samples and criterion variables. With the exception of the clinical sample, the combined models predicted vulnerability to negative consequences better than vulnerability to problem drinker status. Among the clinical and community samples the combined model predicted problem drinker status better than in the student samples.

Exploring the relationship between ethnicity and hypertension in Canada

Background: Previous work examining differences in hypertension across ethnic groups employ race as the principal variable. While differences in hypertension have been identified across racial groups, there is great variation between ethnic groups amongst racial groupings that could mask differences in hypertension and cardiovascular disease (CVD) risk. In light of Canada's ethnic diversity, research aimed at identifying specific groups that are at a health disadvantage is essential for understanding the health of the overall population. In addition, this research would be beneficial for creating programs and policies aimed at reducing or eliminating these disparities. Since CVD is the leading cause of mortality in Canada and hypertension is one of the most significant and modifiable risk factors for CVD, it is important to move past crude classifications based on race and examine ethnic group differences. The purpose of this study is to examine the relationship between ethnicity and hypertension in Canada, while employing more narrow classifications for ethnicity than previous studies. In addition, because ethnicity has been shown to be representative of an individual's social experience, this study also aims to investigate whether this relationship can be explained by one or all of the following variable: socioeconomic status, physical activity, body mass index, smoking status, daily alcohol consumption or acculturation. Methods. This study used the 2004 Canadian Community Health Survey, cycle 2.1 to compare 29 different ethnic groups in Canada on whether they had high blood pressure that had been diagnosed by a health professional. Associations were examined using logistic regression. Subsequent logistic regression analyses included socioeconomic status, physical activity, body mass index, smoking status, daily alcohol consumption and acculturation to test for the effect of each of these variables on the relationship between ethnicity and hypertension. Results. Ukrainians, Chinese, Portuguese, South Asians, Aboriginals, Blacks, Filipinos and South East Asians were found to have significantly higher odds of having high blood pressure than Canadians (OR's = 1.50, 1.56, 2.72, 1.38, 1.36, 1.66, 2.21 & 2.24 respectively, p<.001). In addition, the only significant mediating effects were between SES and Aboriginals as well as obesity and Aboriginals. None of the other independent variables accounted for >10% of the risk experienced by the ethnic groups that were significantly associated with hypertension. Interpretation: The odds of having high blood pressure in Canada varies considerably across ethnic groups within racial groups indicating previous research is not specific enough to inform policy and program development. Because this study was not able to explain this relationship using the sociodemographic and lifestyle factors mentioned above, future research should be done to determine what places certain ethnic groups at a greater risk in order to tailor interventions aimed at reducing high blood pressure that are suited to the specific needs of each cultural group.

Comparison of non-HDL cholesterol and waist circumference vs. triglyceride levels and waist circumference in predicting coronary heart disease risk

BACKGROUND: Dyslipidemia is recognized as a major cause of coronary heart disease (CHD). Emerged evidence suggests that the combination of triglycerides (TG) and waist circumference can be used to predict the risk of CHD. However, considering the known limitations of TG, non-high-density lipoprotein (non-HDL = Total cholesterol - HDL cholesterol) cholesterol and waist circumference model may be a better predictor of CHD. PURPOSE: The Framingham Offspring Study data were used to determine if combined non-HDL cholesterol and waist circumference is equivalent to or better than TG and waist circumference (hypertriglyceridemic waist phenotype) in predicting risk of CHD. METHODS: A total of3,196 individuals from Framingham Offspring Study, aged ~ 40 years old, who fasted overnight for ~ 9 hours, and had no missing information on nonHDL cholesterol, TG levels, and waist circumference measurements, were included in the analysis. Receiver Operator Characteristic Curve (ROC) Area Under the Curve (AUC) was used to compare the predictive ability of non-HDL cholesterol and waist circumference and TG and waist circumference. Cox proportional-hazards models were used to examine the association between the joint distributions of non-HDL cholesterol, waist circumference, and non-fatal CHD; TG, waist circumference, and non-fatal CHD; and the joint distribution of non-HDL cholesterol and TG by waist circumference strata, after adjusting for age, gender, smoking, alcohol consumption, diabetes, and hypertension status. RESULTS: The ROC AUC associated with non-HDL cholesterol and waist circumference and TG and waist circumference are 0.6428 (CI: 0.6183, 0.6673) and 0.6299 (CI: 0.6049, 0.6548) respectively. The difference in the ROC AVC is 1.29%. The p-value testing if the difference in the ROC AVCs between the two models is zero is 0.10. There was a strong positive association between non-HDL cholesterol and the risk for non-fatal CHD within each TO levels than that for TO levels within each level of nonHDL cholesterol, especially in individuals with high waist circumference status. CONCLUSION: The results suggest that the model including non-HDL cholesterol and waist circumference may be superior at predicting CHD compared to the model including TO and waist circumference.