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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Ethnic Disparities In Cervical Cancer Survival Among Texas Women, Ann L. Coker, Christopher P. Desimone, Katherine S. Eggleston, Arica L. White, Melanie Williams Oct 2009

Ethnic Disparities In Cervical Cancer Survival Among Texas Women, Ann L. Coker, Christopher P. Desimone, Katherine S. Eggleston, Arica L. White, Melanie Williams

CRVAW Faculty Journal Articles

Objective: The aim of this work was to determine whether minority women are more likely to die of cervical cancer. A population-based cohort study was performed using Texas Cancer Registry (TCR) data from 1998 to 2002.

Methods: A total of 5,166 women with cervical cancer were identified during 1998–2002 through the TCR. Measures of socioeconomic status (SES) and urbanization were created using census block group-level data. Multilevel logistic regression was used to calculate the odds of dying from cervical cancer by race, and Cox proportional hazards modeling was used for cervical cancer-specific survival analysis.

Results: After adjusting for age, SES, …


Violence Against Women Raises Risk Of Cervical Cancer, Ann L. Coker, Claudia Hopenhayn, Christopher P. Desimone, Heather M. Bush, Leslie Crofford Jan 2009

Violence Against Women Raises Risk Of Cervical Cancer, Ann L. Coker, Claudia Hopenhayn, Christopher P. Desimone, Heather M. Bush, Leslie Crofford

CRVAW Faculty Journal Articles

Background: An emerging literature suggests that violence against women (VAW), particularly sexual violence, may increase the risk of acquiring a sexually transmitted infection (STI) and, therefore, may be associated with cervical cancer development. The purpose of this cross-sectional analysis was to determine if women who had experienced violence had higher prevalence rates of invasive cervical cancer.

Methods: Women aged 18–88 who joined the Kentucky Women’s Health Registry (2006–2007) and completed a questionnaire were included in the sample. Multivariate logistic regression analyses were used to adjust odds ratio (OR) for confounders (e.g., age, education, current marital status, lifetime illegal drug use, …