{"title":"Relationship Between Fatalistic Cancer Beliefs and Risky Health Behaviors.","authors":"Maryum Zaidi, Sayantani Sarkar, Stella Arakelyan, Hermine Poghosyan","doi":"10.1177/01939459241273388","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is limited research on how fatalism influences risky health behaviors that are linked to higher cancer risks. This study investigates the relationship between risky health behaviors (tobacco smoking, electronic cigarette use, and heavy alcohol drinking) and fatalistic cancer beliefs while controlling for health care-related self-efficacy and sociodemographic and clinical factors among adults without a history of cancer.</p><p><strong>Methods: </strong>We used cross-sectional data from the 2020 Health Information National Trends Survey (HINTS) 5 Cycle 4. The study sample included noninstitutionalized adults (aged ≥18 years without a self-reported cancer history (n = 2464). The outcome variable was risky health behaviors comprised of tobacco smoking, electronic cigarette use, and heavy alcohol drinking. We combined these 3 risky behaviors into a binary variable (0, not having risky health behavior; 1, having ≥1 risky health behavior). The key independent variable was cancer fatalistic beliefs. We used descriptive statistics and multivariate logistic regression analyses.</p><p><strong>Results: </strong>Overall, 50% of the sample were women, 64.7% of participants self-identified as non-Hispanic White, 16.4% as Hispanic, and 10.6% as non-Hispanic Black. About 43% of participants reported having at least one risky health behavior. While holding all other factors constant, each unit increase in cancer fatalism score was associated with 30.0% higher odds of increased risky health behaviors (odds ratio = 1.30, 95% confidence interval 1.04-1.62, <i>P</i> = .021) among adults without a history of cancer.</p><p><strong>Conclusion: </strong>By understanding the relationship between cancer-related fatalistic beliefs and risky health behaviors, cancer prevention outreach programs can be personalized to suit the unique needs of specific individuals and communities.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/01939459241273388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: There is limited research on how fatalism influences risky health behaviors that are linked to higher cancer risks. This study investigates the relationship between risky health behaviors (tobacco smoking, electronic cigarette use, and heavy alcohol drinking) and fatalistic cancer beliefs while controlling for health care-related self-efficacy and sociodemographic and clinical factors among adults without a history of cancer.
Methods: We used cross-sectional data from the 2020 Health Information National Trends Survey (HINTS) 5 Cycle 4. The study sample included noninstitutionalized adults (aged ≥18 years without a self-reported cancer history (n = 2464). The outcome variable was risky health behaviors comprised of tobacco smoking, electronic cigarette use, and heavy alcohol drinking. We combined these 3 risky behaviors into a binary variable (0, not having risky health behavior; 1, having ≥1 risky health behavior). The key independent variable was cancer fatalistic beliefs. We used descriptive statistics and multivariate logistic regression analyses.
Results: Overall, 50% of the sample were women, 64.7% of participants self-identified as non-Hispanic White, 16.4% as Hispanic, and 10.6% as non-Hispanic Black. About 43% of participants reported having at least one risky health behavior. While holding all other factors constant, each unit increase in cancer fatalism score was associated with 30.0% higher odds of increased risky health behaviors (odds ratio = 1.30, 95% confidence interval 1.04-1.62, P = .021) among adults without a history of cancer.
Conclusion: By understanding the relationship between cancer-related fatalistic beliefs and risky health behaviors, cancer prevention outreach programs can be personalized to suit the unique needs of specific individuals and communities.