ArticleTranslational behavioral medicine2022
Support for cancer prevention public health policies: results from a nationally representative sample of residents in the United States.
Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Support for Alcohol Control Policies Among US Alcohol Consumers.JAMA network open · 2025Article
- How do electronic personal health information technologies enhance obesity prevention behaviors? Examining the roles of obesity risk perception and body weight.BMC public health · 2025Article
- Metabolic reprogramming involves in transition of activated/resting CD4Frontiers in immunology · 2023Article
- Promoting support for tobacco control: The roles of online and offline health information seeking.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.