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Female Urogenital Diseases and Pregnancy Complications Commons™
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Full-Text Articles in Female Urogenital Diseases and Pregnancy Complications
Addressing Postpartum Smoking Relapse Among Low-Income Women: A Randomized Control Trial, Kristine Alaniz, Bruce Christiansen, Tingting Sullivan, Lisette Khalil, Michael C. Fiore
Addressing Postpartum Smoking Relapse Among Low-Income Women: A Randomized Control Trial, Kristine Alaniz, Bruce Christiansen, Tingting Sullivan, Lisette Khalil, Michael C. Fiore
Journal of Patient-Centered Research and Reviews
Purpose: Smoking during pregnancy can have dire consequences for both the baby and mother. Low-income pregnant women smoke at particularly high rates. Among women who quit during pregnancy, postpartum relapse is high. This randomized control trial tested the effect of adding postpartum assistance to an existing smoking cessation program (First Breath) designed for low-income women.
Methods: Of 185 study participants, 94 women were randomly assigned to the standard First Breath program (control) and 91 to an enhanced program. First Breath consisted of evidence-based smoking cessation counseling provided at every prenatal visit. The enhanced program included all First Breath services plus …
Cervical Cancer Survival By Socioeconomic Status, Race/Ethnicity, And Place Of Residence In Texas, 1995–2001, Katherine S. Eggleston, Ann L. Coker, Melanie Williams, Guillermo Tortolero-Luna, Jeanne B. Martin, Susan R. Tortolero
Cervical Cancer Survival By Socioeconomic Status, Race/Ethnicity, And Place Of Residence In Texas, 1995–2001, Katherine S. Eggleston, Ann L. Coker, Melanie Williams, Guillermo Tortolero-Luna, Jeanne B. Martin, Susan R. Tortolero
CRVAW Faculty Journal Articles
Objective: The current study explored whether socioeconomic status (SES), race/ethnicity, and rural residence may be linked to poorer cervical cancer survival by stage at diagnosis.
Methods: Data from 7,237 cervical cancer cases reported to the Texas Cancer Registry from 1995–2001 were used to address the association by stage at diagnosis and cause of death. Zip code-level census data were used to classify residence and to develop a composite variable for SES. Multilevel Cox proportional hazards modeling was used to estimate hazard ratios
(HR) and 95% confidence intervals (CI).
Results: Late stage at diagnosis was a strong predictor …