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Predicting cervical cancer screening among sexual minority women using Classification and Regression Tree analysis

Abstract:
Cervical cancer screening is a critical preventive healthcare service for all women. Sexual minority women (SMW) in the United States experience multiple health disparities including decreased access to and use of cervical cancer screening. The mechanisms driving these disparities are not clear and SMW with multiple marginalized identities may be more likely to miss recommended cervical cancer screening. This study aimed to identify subgroups of SMW that are more and less likely to be screened for cervical cancer according to American Cancer Society guidelines. We used cross-sectional data from the latest (2010–2012) wave of the Chicago Health and Life Experiences of Women (CHLEW) Study (N\u202f=\u202f691). Informed by intersectionality theory, we performed classification and regression tree (CART) modeling to construct a data-driven, predictive model of subgroups of SMW who were more and less likely to receive guideline-recommended screening. Notably, the CART model did not include commonly tested variables such as race/ethnicity or level of income or education. The model did identify subgroups with low likelihood of receiving screening and several novel variables that may be important in understanding SMW s use of cervical cancer screening; lifetime number of sexual partners, age at drinking onset, childhood physical abuse, and internalized homonegativity. Our results point to the importance of early life experiences and identity development processes in shaping patterns of preventive healthcare use among adult SMW. Our analysis also demonstrated the potential value of CART modeling techniques for evaluating how multiple variables interact in complex ways to predict cervical cancer screening.
Author Listing: Madelyne Z. Greene;Tonda L. Hughes;Alexandra Hanlon;Liming Huang;Marilyn S. Sommers;Salimah H. Meghani
Volume: 13
Pages: 153 - 159
DOI: 10.1016/j.pmedr.2018.11.007
Language: English
Journal: Preventive Medicine Reports

Preventive Medicine Reports

影响因子:2.5
是否综述期刊:否
是否OA:是
是否预警:不在预警名单内
发行时间:-
ISSN:2211-3355
发刊频率:-
收录数据库:SCIE/Scopus收录/DOAJ开放期刊
出版国家/地区:United States
出版社:Elsevier

期刊介绍

年发文量 450
国人发稿量 59
国人发文占比 13.11%
自引率 0.0%
平均录取率 -
平均审稿周期 14 Weeks
版面费 -
偏重研究方向 Medicine-Public Health, Environmental and Occupational Health
期刊官网 http://www.journals.elsevier.com/preventive-medicine-reports/
投稿链接 -

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
92.19% 94.39% - -

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

时间 预警情况
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q2区

版本 按学科 分区
WOS期刊SCI分区
(2021-2022年最新版)
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Q2

中科院分区

版本 大类学科 小类学科 Top期刊 综述期刊
医学
3区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
公共卫生、环境卫生与职业卫生
3区
2022年12月
最新升级版
医学
3区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
公共卫生、环境卫生与职业卫生
3区