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.

The impact of tobacco control policies on university students' smoking in Ontario

Objective. Despite steady declines in the prevalence of tobacco use among Canadians, young adult tobacco use has remained stubbornly high over the past two decades (CTUMS, 2005a). Currently in Ontario, young adults have the highest proportion of smokers of all age cohorts at 26%. A growing body of evidence shows that smoking restrictions and other tobacco control policies can reduce tobacco use and consumption among adults and deter initiation among youth; whether young adult university students' smoking participation is influenced by community smoking restrictions, campus tobacco control policies or both remains an empirical question. The purpose of this study is to examine the relationship among current smoking status of students on university campuses across Ontario and various tobacco control policies, 3including clean air bylaws of students' home towns, clean air by-laws of the community where the university is situated, and campus policies. Methods. Two data sets were used. The 200512006 Tobacco Use in a Representative Sample of Post-Secondary Students data set provides information about the tobacco use of 10,600 students from 23 universities and colleges across Ontario. Data screening for this study reduced the sample to 5,114 17-to-24 year old undergraduate students from nine universities. The second data set is researcher-generated and includes information about strength and duration of, and students' exposure to home town, local and campus tobacco control policies. Municipal by-laws (of students' home towns and university towns) were categorized as weak, moderate or strong based on criteria set out in the Ontario Municipal By-law Report; campus policies were categorized in a roughly parallel fashion. Durations of municipal and campus policies were calculated; and length of students' exposure to the policies was estimated (all in months). Multinomial logistic regression analyses were used to examine the relationship between students' current smoking status (daily, less-than-daily, never-smokers) and the following policy measures: strength of, duration of, and students' exposure to campus policy; strength of, duration of, and students' exposure to the by-law in the university town; and, strength of, duration of, and students' exposure to the by-law in the home town they grew up in. Sociodemographic variables were controlled for. Results. Among the Ontario university students surveyed, 7.0% currently use tobacco daily and 15.4% use tobacco less-than-daily. The proportions of students experiencing strong tobacco control policies in their home town, the community in which their university is located and at their current university were 33.9%,64.1 %, and 31.3% respectively. However, 13.7% of students attended a university that had a weak campus policy. Multinomial logistic regressions suggested current smoking status was associated with university town by-law strength, home town by-law strength and the strength of the campus tobacco control policy. In the fmal model, after controlling for sociodemographic factors, a strong by-law in the university town and a strong by-law in students' home town were associated with reduced odds of being both a less-than-daily (OR = 0.64, 95%CI: 0.48-0.86; OR = 0.80, 95%CI: 0.66-0.95) and daily smoker (OR = 0.59, 95%CI: 0.39-0.89; OR = 0.76, 95%CI: 0.58-0.99), while a weak campus tobacco control policy was associated with higher odds of being a daily smoker (OR = 2.08, 95%CI: 1.31-3.30) (but unrelated to less-than-daily smoking). Longer exposure to the municipal by-law (OR = 0.93; 95%CI: 0.90-0.96) was also related to smoking status. Conclusions. Students' smoking prevalence was associated with the strength of the restrictions in university, and with campus-specific tobacco control policies. Lessthan- daily smoking was not as strongly associated with policy measures as daily smoking was. University campuses may wish to adopt more progressive campus policies and support clean air restrictions in the broader community. More research is needed to determine the direction of influence between tobacco control policies and students' smoking.