Moving toward a true depiction of tobacco behavior among Asian Indians in California: Prevalence and factors associated with cultural smokeless tobacco product use.
Moving toward a true depiction of tobacco behavior among Asian Indians in California: Prevalence and factors associated with cultural smokeless tobacco product use.
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作者:
Mukherjea A;Modayil MV;Tong EK
Asian Indians in the US exhibit disproportionate burdens of oral cancers and cardiovascular disease, potentially linked to smokeless tobacco. However, little is known about use of cultural smokeless tobacco (CST) products among this population. 2004 California Asian Indian Tobacco Use Survey data (n=1,618) was used to investigate CST prevalence among California’s Asian Indians. CST products included paan, paan masala, and gutka. Multivariable logistic regression was conducted to examine factors associated with current CST use, compared to never use, for socioeconomic status, acculturation measures, and religious affiliation. Current CST prevalence was 13.0% (men: 14.0%, women: 11.8%). In contrast, prevalence of current cigarette use was 5.5% (men: 8.7%, women: 1.9%) and lower for cultural smoked tobacco (bidis: 0.1%, hookah: 0.5%). Factors associated with CST use include being male, aged 50+, immigrant status, speaking an Asian Indian language at home, higher education (high school/some college AOR=2.6, 95% CI 1.1–6.5; college degree+ AOR=4.0, 95% CI 1.7–9.5), higher income ($75,000–100,000 AOR=2.5, 95% CI 1.3–4.7; >$100,000 AOR=2.6, 95% CI 1.4–5.0), identifying as non-Sikh (Hinduism AOR= 10.0, 95% CI 6.0–16.5; other faiths AOR=10.2, 95% CI 5.9–17.7), and disagreeing that spiritual beliefs are the foundation of life (AOR=2.1, 95% CI 1.2–3.5). Current CST prevalence is relatively high among California’s Asian Indians compared to smoking, with narrower differences between genders. The association with higher socioeconomic status is contrary to typical cigarette smoking patterns. Acculturation and religious affiliation are important factors associated with current use. Healthcare providers and policymakers should consider such determinants for targeted interventions.
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影响因子:
2.3
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