PO.PS01.11 · 人群科学
政治意识形态与宿命论癌症观念的关联
Association of political ideology and fatalistic cancer beliefs
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
引言:癌症宿命论与较低的癌症筛查依从性和较差的预防性健康行为相关。种族、健康信息和社会因素已被证明与癌症宿命论相关,然而关于其与政治取向关联的研究有限。
方法:使用来自美国国家癌症研究所健康信息全国趋势调查(HINTS)7的数据,该调查于2024年3月25日至9月16日进行。这是一项公开可用、去标识化、具有全国代表性的针对美国非机构居住平民成人的调查,因此免于机构审查委员会审查。调查应答率为27.3%,其中超过86%的人回答了关于宿命论癌症观念和政治意识形态的具体问题。主要结局为宿命论癌症观念,使用HINTS调查中的四个条目进行评估,本研究将每个条目重新编码为二分变量:非常同意/有些同意 vs. 非常不同意/有些不同意。政治意识形态和种族为自我报告。对每项宿命论观念和政治意识形态进行多变量逻辑回归(校正年龄、性别、种族/族裔、教育程度、家庭收入、个人癌症史和城乡居住情况)。统计分析使用Stata 18.0软件(StataCorp LLC)进行,采用双侧显著性水平p < .05。
结果:研究样本包括6267名成人[3708名(48.3%)女性,3386名非西班牙裔白人(61%),5400名(87.2%)城市居民]。2033名(31.9%)自我报告为保守派,2232名(37.5%)为温和派,2002名(30.6%)为自由派。校正逻辑回归模型显示,与自由派和温和派相比,保守派参与者更可能表示非常同意/有些同意“似乎什么都会导致癌症”[校正后比值比(aOR)分别为1.47;95% CI,1.27-1.69和1.29;95% CI,1.12-1.49]。类似地,当分析“你能做的降低患癌几率的事情不多”和“关于预防癌症有如此多不同的建议,很难知道该遵循哪些”这些陈述时,保守派参与者与自由派参与者[aOR分别为1.46;95% CI,1.26-1.70和1.51;95% CI,1.32-1.78]以及温和派参与者[aOR分别为1.41;95% CI,1.22-1.63和1.57;95% CI,1.36-1.81]相比,更可能非常同意/有些同意。在“当我想到癌症时,我会自动想到死亡”这一陈述上,不同政治意识形态之间无显著差异。
结论:在这项具有全国代表性的美国成人调查中,政治意识形态与癌症宿命论陈述之间存在显著关联。鉴于癌症宿命论已被证明与筛查采纳率和健康行为的下降相关,在制定文化上适宜的干预措施和健康促进策略时,应将政治意识形态视为一个考量因素。
查看英文原文 English abstract
Introduction : Cancer fatalism is linked to lower adherence to cancer screening and poor preventive health behaviors. Race, health information and social factors have been associated with cancer fatalism, however there is limited research on association with political orientation.
Methods : Data from the National Cancer Institute's Health Information National Trends Survey (HINTS) 7, conducted from March 25 - September 16, 2024, was used. This is a publicly available, de-identified, nationally representative survey of non-institutionalized civilian US adults and is thus exempt from institutional review board review. Survey response rate was 27.3%, with over 86% responding to the specific questions on fatalistic cancer beliefs and political ideology. Primary outcome was fatalistic cancer beliefs assessed using four items in the HINTS survey, each re-coded into a dichotomous variable of strongly agree/somewhat agree vs. strongly disagree/somewhat disagree for this study. Political ideology and race were self-reported. Multivariable logistic regression (adjusted for age, sex, race/ethnicity, educational level, household income, personal cancer history and rural-urban residence) was carried out for each fatalistic belief and political ideology. Statistical analyses were performed using Stata 18.0 software (StataCorp LLC) with 2-sided significance at p < .05
Results : The study sample included 6267 adults [3708 (48.3%) women, 3386 non-Hispanic White (61%), and 5400 (87.2%) urban residents. 2033 (31.9%) self-reported as conservative, 2232 (37.5%) as moderate, and 2002 (30.6%) as liberal. Adjusted logistic regression models showed that conservative participants, compared with liberals and moderates were more likely to say they strongly agree/somewhat agree that it seems everything causes cancer [adjusted odds ratio (aOR), 1.47; 95% CI, 1.27-1.69 and 1.29; 95% CI, 1.12-1.49 respectively]. Similarly, when statements on “there is not much you can do to lower your chances of getting cancer” and “there are so many different recommendations about preventing cancer, it's hard to know which ones to follow” were analyzed, conservative participants were more likely to strongly agree/somewhat agree compared with liberal participants [aOR 1.46; 95% CI, 1.26-1.70 and 1.51; 95% CI, 1.32-1.78 respectively] and moderate participants [aOR 1.41; 95% CI, 1.22-1.63 and 1.57; 95% CI, 1.36-1.81 respectively]. There was no significant difference in the statement “When I think about cancer, I automatically think about death” across political ideologies.
Conclusions : In this nationally representative survey of US adults, significant association exists between political ideology and cancer fatalism statements. Given that cancer fatalism has been linked to decrease in screening uptake and health behaviors, political ideologies should be considered as a factor for culturally appropriate interventions, and health promotion strategies.
利益披露 Disclosure
C. M. Okafor, None..
C. C. Egwuonwu, None..
H. Onyeaka, None.