1. Factors associated with heavy drinking among off-reserve First Nations and Métis youth and adults: Evidence from the 2012 Canadian Aboriginal Peoples Survey.
- Author
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Ryan, Christopher J., Cooke, Martin, and Leatherdale, Scott T.
- Subjects
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DISEASE prevalence , *DEMOGRAPHIC surveys , *ALCOHOL & young adults , *LOGISTIC regression analysis , *INDIGENOUS peoples , *COMPARATIVE studies , *CULTURE , *ALCOHOL drinking , *HEALTH behavior , *FIRST Nations of Canada , *RESEARCH methodology , *MEDICAL cooperation , *MINORITIES , *RESEARCH , *SOCIOECONOMIC factors , *EVALUATION research , *ABORIGINAL Canadians ,ALCOHOL drinking risk factors - Abstract
Objective . Aboriginal people in Canada are at higher risk to heavy alcohol consumption than are other Canadians. The objective of this study was to examine a set of culturally specific correlates of heavy drinking among First Nations and Métis youth and adults. Methods . Demographic, geographic, socioeconomic and health-related variables were also considered. Data were used from Statistics Canada's 2012 Aboriginal Peoples Survey to predict heavy drinking among 14,410 First Nations and Métis 15years of age and older. Separate sets of binary sequential logistic regression models were estimated for youth and adults. Results . Among youth, those who had hunted, fished or trapped within the last year were more likely to be heavy drinkers. In addition, current smokers and those who most frequently participated in sports were at higher odds of heavy alcohol consumption. Among adults, respondents who had hunted, fished or trapped within the last year were more likely to drink heavily. On the other hand, those who had made traditional arts or crafts within the last year were less likely to drink heavily. Conclusions . Men, younger adults, smokers, those who were unmarried, those who had higher household incomes, and those who had higher ratings of self-perceived health were more likely to be heavy drinkers. Efforts aimed at reducing the prevalence of heavy drinking among this population may benefit from considering culturally specific factors, in addition to demographic variables and co-occurring health-risk behaviors. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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