Assessing public support of health policies designed to reduce cancer risk is important for policy implementation. This study aimed to identify support for cancer prevention policies and factors associated with support. Data were obtained from the Health Information National Trends Survey. Support for three types of cancer prevention policies were evaluated: tobacco, alcohol, and junk food regulations. Linear and logistic regression analyses were employed to assess the relationship between support for the different types of policies and sociodemographic, lifestyle behaviors, and cancer beliefs. Certain policies, such as providing warning labels on cigarettes (69.9% support) and requiring specific health warnings on alcohol containers (65.1% support), were popular. Banning outdoor advertising of alcohol was not popular (34.4% support). There were individual differences associated with policy support. For example, respondents who were 75 years or older (B = 0.61, p < .001) or female (B = 0.14, p < .008) were more likely to support tobacco polices compared to their counterparts (i.e., younger or male). Respondents who identified as politically conservative (B = -0.20, p < .004) or those who endorsed high cancer fatalistic beliefs (e.g., there's not much you can do to lower your chances of getting cancer, B = -0.07, p < .012) were less likely to support alcohol policies compared to those who were liberal or had lower cancer fatalistic beliefs. Generally, support was high for most policy questions. However, support varied by different individual factors. The findings also highlight that there may be opportunities to increase understanding and awareness about cancer prevention policies, especially among some segments of the population.
Keywords: Alcohol; Cancer prevention; Diet; Public health policy; Tobacco.
It is important to assess public support of cancer preventive health policies and to know which factors, such as individual characteristics (e.g., gender and political orientation) health behaviors, and cancer beliefs, are associated with support. In this study, we assessed support of cancer prevention policies and examined different factors possibly associated with support. We analyzed data from the Health Information National Trends Survey, a nationally representative dataset. Since there were multiple questions related to support of tobacco and alcohol policies, we combined each set of questions to create two combined scores, with higher scores indicating more support. We examined the policy related to junk food individually. We found certain policies, such as including warning labels on cigarettes, were popular, with over 60% support. However, there were group differences. For example, women and those aged 55 years or older were more supportive of policies, while politically conservative respondents were less supportive of policies. Beliefs about cancer were also associated with policy support. For example, those who believed “there’s not much you can do to lower your chances of getting cancer” were less supportive compared to those without that belief. These findings may help inform future policy research and public health campaigns.
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