{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T03:31:19Z","timestamp":1775187079659,"version":"3.50.1"},"reference-count":31,"publisher":"Walter de Gruyter GmbH","issue":"7","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_jom-2021-0044_abs_001\">\n                  <jats:title>Context<\/jats:title>\n                  <jats:p>Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jom-2021-0044_abs_002\">\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>This study aims to analyze whether CC screening rates differ among women with comorbidities\u2014body mass index (BMI)\u00a0\u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>, diabetes mellitus, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer\u2014compared to women without these comorbidities.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jom-2021-0044_abs_003\">\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Combined 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) datasets were evaluated utilizing multivariate logistic regression models to determine the adjusted odds ratios (AORs) of persons having completed CC screening without comorbidities compared to those with individual diagnoses, as well as in those with multiple comorbidities (1, 2\u20134, 5+). Confidence intervals (CIs) were reported at 95%.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jom-2021-0044_abs_004\">\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Among the 127,057 individuals meeting inclusion criteria, 78.3% (n\u00a0=\u00a083,242; n\u00a0=\u00a027,875,328) met CC screening guidelines. Multivariable regression showed that women who had a BMI\u00a0\u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> were significantly less likely to have completed a CC screening (AOR: 0.90; CI: 0.83\u20130.97) as were those with COPD (AOR: 0.77; CI: 0.67\u20130.87) and kidney disease (AOR: 0.81; CI: 0.67\u20130.99). Conversely, women with skin cancer were significantly more likely to report CC screening (AOR: 1.22; CI: 1.05\u20131.43). We found no significant differences in CC screening completion rates by diagnosis of diabetes, hypertension, cardiovascular disease, arthritis, or depression nor between women lacking comorbidities compared to women with multiple comorbidities.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jom-2021-0044_abs_005\">\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Women with BMI\u00a0\u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>, COPD, and kidney disease were less likely to complete CC screening, whereas women with skin cancer were more likely to complete CC screening. Additionally, diabetes mellitus, hypertension, cardiovascular disease, arthritis, and depression diagnoses did not significantly impact rates of CC screening. Physicians should be aware of the deviations in CC screening completion among patients with diagnoses to know when there may be an increased need for Pap tests and pelvic examinations. CC screening is critical to reduce mortality through early detection and prevention measures.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/jom-2021-0044","type":"journal-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T07:53:31Z","timestamp":1647244411000},"page":"359-365","source":"Crossref","is-referenced-by-count":4,"title":["Cervical cancer screening among women with comorbidities: a cross-sectional examination of disparities from the Behavioral Risk Factor Surveillance System"],"prefix":"10.1515","volume":"122","author":[{"given":"Jordyn","family":"Austin","sequence":"first","affiliation":[{"name":"Center for Health Sciences, Office of Medical Student Research , Oklahoma State University , Tulsa , OK , USA"},{"name":"College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research , Oklahoma State University , Tahlequah , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Delgado","sequence":"additional","affiliation":[{"name":"Center for Health Sciences, Office of Medical Student Research , Oklahoma State University , Tulsa , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashton","family":"Gatewood","sequence":"additional","affiliation":[{"name":"Center for Health Sciences, Office of Medical Student Research , Oklahoma State University , Tulsa , OK , USA"},{"name":"College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research , Oklahoma State University , Tahlequah , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mackenzie","family":"Enmeier","sequence":"additional","affiliation":[{"name":"Center for Health Sciences, Office of Medical Student Research , Oklahoma State University , Tulsa , OK , USA"},{"name":"College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research , Oklahoma State University , Tahlequah , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brooke","family":"Frantz","sequence":"additional","affiliation":[{"name":"OU College of Medicine, Department of Women\u2019s Health at Oklahoma City Indian Clinic , Oklahoma City , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Greiner","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine , University of Texas Medical Branch , Galveston , TX , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micah","family":"Hartwell","sequence":"additional","affiliation":[{"name":"Center for Health Sciences, Office of Medical Student Research , Oklahoma State University , Tulsa , OK , USA"},{"name":"Center for Health Sciences, Department of Psychiatry and Behavioral Sciences , Oklahoma State University , Tulsa , OK , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"2022062216200890813_j_jom-2021-0044_ref_001","unstructured":"Key statistics for cervical cancer American Cancer Society. 2020. https:\/\/www.cancer.org\/cancer\/cervical-cancer\/about\/key-statistics.html [Accessed January 6, 2021]."},{"key":"2022062216200890813_j_jom-2021-0044_ref_002","doi-asserted-by":"crossref","unstructured":"Chesson, HW, Dunne, EF, Hariri, S, Markowitz, LE. 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