Associations of intimate partner violence and maternal comorbidities: a cross-sectional analysis of the Pregnancy Risk Assessment Monitoring System.

CONTEXT: Intimate partner violence (IPV) occurs when an intimate partner inflicts physical, sexual, and/or emotional assault with coercive control and is a traumatic experience with repercussions that can be exacerbated when a woman is pregnant. While screening for IPV during pregnancy is recommended to occur regardless of risk, less than 50% of pregnant women are screened. OBJECTIVES: Identifying clinical factors commonly associated with IPV during pregnancy may improve screening rates, thus our primary objective was to examine associations between IPV and maternal comorbidities. METHODS: We conducted a cross-sectional analysis of the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 8 spanning 2016 through 2019. Bivariate and multivariable logistic regression was utilized to calculate adjusted odds ratios (AORs) to determine associations between IPV and diabetes, anxiety, hypertension, depression, asthma, polycystic ovary syndrome (PCOS), and thyroid disease. RESULTS: More than 40% of women experiencing IPV reported a history of depression or anxiety. The occurrence of IPV was higher among women with depression (AOR 3.48, CI 3.14-3.85), anxiety (AOR 2.98, CI 2.64-3.37), hypertension (AOR 1.21, CI 1.02-1.44), and asthma (AOR 1.37; CI 1.17-1.59) than women without those respective conditions, but not among diagnoses of diabetes, PCOS, or thyroid disorders. CONCLUSIONS: Our findings show that pregnant individuals reporting having experienced IPV were more likely to report having certain comorbidities compared to those who did not report experiencing IPV. Given the low rates of screening, knowing clinically relevant associations may increase screening sensitivity among clinicians and, in turn, increase the likelihood that individuals experiencing IPV receive supportive care.

Cervical cancer screening among women with comorbidities: a cross-sectional examination of disparities from the Behavioral Risk Factor Surveillance System.

CONTEXT: 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. OBJECTIVES: This study aims to analyze whether CC screening rates differ among women with comorbidities-body mass index (BMI) ≥30 kg/m2, diabetes mellitus, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer-compared to women without these comorbidities. METHODS: 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, 2-4, 5+). Confidence intervals (CIs) were reported at 95%. RESULTS: Among the 127,057 individuals meeting inclusion criteria, 78.3% (n = 83,242; n = 27,875,328) met CC screening guidelines. Multivariable regression showed that women who had a BMI ≥30 kg/m2 were significantly less likely to have completed a CC screening (AOR: 0.90; CI: 0.83-0.97) as were those with COPD (AOR: 0.77; CI: 0.67-0.87) and kidney disease (AOR: 0.81; CI: 0.67-0.99). Conversely, women with skin cancer were significantly more likely to report CC screening (AOR: 1.22; CI: 1.05-1.43). 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. CONCLUSIONS: Women with BMI ≥30 kg/m2, 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.