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Full-Text Articles in Social Work

Ethnic Disparities In Cervical Cancer Survival Among Medicare Eligible Women In A Multiethnic Population, Ann L. Coker, Katherine S. Eggleston, Xianglin L. Du, Lois Ramondetta Jan 2009

Ethnic Disparities In Cervical Cancer Survival Among Medicare Eligible Women In A Multiethnic Population, Ann L. Coker, Katherine S. Eggleston, Xianglin L. Du, Lois Ramondetta

CRVAW Faculty Journal Articles

To determine predictors of cervical cancer survival by socioeconomic status (SES), urbanization, race/ethnicity, comorbid conditions, and treatment among elderly Medicare-eligible women whose conditions were diagnosed with cervical cancer in a multiethnic population.

Methods: A total of 538 women with cervical cancer aged 65 years or older were identified from 1999 to 2001 from the Texas Cancer Registry and were linked with the state Medicare data and Texas Vital Records to determine survival times. All women had similar access to care through Medicare fee-for-services insurance. A composite measure of SES was created using census tract-level data as was urbanization. Treatment and …


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, …