Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Analysis Of Primary Risk Factors For Oral Cancer From Us States With Increasing Rates, Anthony Bunnell, Nathan Pettit, Nicole Reddout, Kanika Sharma, Susan O'Malley, Michelle Chino, Karl Kingsley Feb 2010

Analysis Of Primary Risk Factors For Oral Cancer From Us States With Increasing Rates, Anthony Bunnell, Nathan Pettit, Nicole Reddout, Kanika Sharma, Susan O'Malley, Michelle Chino, Karl Kingsley

Public Health Faculty Publications

Objectives

To examine the primary risk factor for oral cancer in the US, smoking and tobacco use, among the specific US states that experienced short-term increases in oral cancer incidence and mortality.

Methods

Population-based data on oral cancer morbidity and mortality in the US were obtained from the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) database for analysis of recent trends. Data were also obtained from the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System (BRFSS) to measure current and former trends of tobacco usage. To comprehensive measures of previous state tobacco use …


Gendered Disparities In Take-Ups Of Employee Health Benefits, Jennifer Reid Keene, Anastasia H. Prokos Jan 2010

Gendered Disparities In Take-Ups Of Employee Health Benefits, Jennifer Reid Keene, Anastasia H. Prokos

Sociology Faculty Research

Using a sample of 2,271 workers from the 2002 National Study of the Changing Workforce whose employers offered personal health insurance, this article investigates the gendered nature of health insurance benefit take-ups. These analyses include family and employment characteristics in addition to employers’ contributions to health insurance premiums, a measure that is unexamined in sociological analyses of health benefits. Progressive logistic regression models predict the effects of gender and family characteristics. Results indicate that women with employed spouses are less likely to take up their own health benefits than are comparable men, net of basic employment characteristics. Gender differences disappear, …