Alexander, Gigi and Cebula, Richard (2010): Non-Economic and Economic Factors in the Decision to Obtain a Pap Smear: The Case of Women Residents in the State of Florida. Published in: Journal of Regional Analysis and Policy , Vol. 41, No. 2 (29 December 2011): pp. 101-107.
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Abstract
In this first-time-ever such study of the adult female population in the state of Florida, the percentage of the women 18 to 44 years of age within each county in the state of Florida in 2007 who had received a Pap smear during the past year was a decreasing function of the percentage of women 18 years of age and older who were current smokers (AS), while being an increasing function of the percentage of women 18 years of age and older with an annual income of $25,000 or more (AIN25PLUS), the percentage of adult women under the age of 45 who take a multivitamin daily (AVIT), the percentage of women age 18 and older who were high school graduates with at least some college education as well (AWED), and the percentage of adult women who were classified as leading a sedentary lifestyle (ASEDEN). It also appears that the percentage of the women 18 to 44 years of age within each county in the state of Florida in 2007 who had received a Pap smear during the past year was a decreasing function of the percentage of the women 18 years of age and older who were overweight. Based on these findings, certain preliminary general public policy implications are offered in the concluding section of the study.
Item Type: | MPRA Paper |
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Original Title: | Non-Economic and Economic Factors in the Decision to Obtain a Pap Smear: The Case of Women Residents in the State of Florida |
English Title: | Non-Economic and Economic Factors in the Decision to Obtain a Pap Smear: The Case of Women Residents in the State of Florida |
Language: | English |
Keywords: | Pap smear decision; economic factors; non-economic factors |
Subjects: | D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis I - Health, Education, and Welfare > I1 - Health > I11 - Analysis of Health Care Markets I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health |
Item ID: | 49221 |
Depositing User: | Richard Cebula |
Date Deposited: | 21 Aug 2013 20:04 |
Last Modified: | 01 Oct 2019 04:56 |
References: | Alliance for Cervical Cancer Prevention. 2003, May. Questions Frequently Asked by Women [Electronic version]. Retrieved September 15, 2008, from http://www.path.org/files/RH_faq_fs.pdf Alliance for Cervical Cancer Prevention. 2004, July. Risk Factors for Cervical Cancer: Evidence to Date [Electronic version]. Retrieved September 15, 2008, from http://www.path.org/files/RH_fs_risk_factors.pdf American Cancer Society. 2008, April 4. How Many Women Get Cancer of the Cervix? Retrieved February 20, 2009, from http://www.cancer.org/docroot/CRI/content/CRI_2_2_1X_How_many_women_get_cancer_of_the_cervix_8.asp?sitearea= Asirvatham, J. 2009. Examining Diet Quality and Body Mass Index in Rural Areas Using a Quantile Regression. Review of Regional Studies 39(2): 149-169. Bopp, A.; and Cebula, R.J. 2009. State Variations in Hospital Expenditures. International Advances in Economic Research 15(2): 226-232. Brown M.; Lipscomb J.; and Snyder, C. 2001. The Burden of Illness of Cancer: Economic Cost and Quality of Life. Annual Review of Public Health 22(1): 91-113. Calle, E. E., Rodriquez, C., Walker-Thurmond, K., and Thun, M. J. 2003. Overweight, Obesity, and Mortality from Cancer in a Prospectively Studied Cohort of U.S. Adults. The New England Journal of Medicine 348: 1625-1639. Cebula, R.J. 2010. The Micro-Firm Health Insurance Hypothesis: A State-Level WLS Analysis. Applied Economics Letters 17(5): 1067-1072. Cebula, R.J.; Smith, K.E.; and Alexander, G.M. 2010. The Impact of State Cigarette Taxes on Cigarette Consumption: Recent Evidence. State Tax Notes 56(26): 2143-2150. Drury, C. A. A.; and Louis, M. 2002. Exploring the Association between Body Weight, Stigma of Obesity, and Health Care Avoidance. Journal of the American Academy of Nurse Practitioners 14(4): 554-561. Fannin, J.M.; and Barnes, J.N. 2009. Spatial Model Specification for Contractual Arrangements between Rural Hospitals and Physicians. Review of Regional Studies 39(2): 189-211. Ferrante, J. M., Chen, P.H., Crabtree, B. F., and Wartenberg, D. 2007. Cancer Screening in Women: Body Mass Index and Adherence to Physician Recommendations. American Journal of Preventive Medicine 32: 525-531. Florida Department of Health. 2007a. BRFSS Survey Instruments. Retrieved February 20, 2009, from http://www.doh.state.fl.us/Disease_ctrl/epi/brfss/surveyinst.htm Florida Department of Health. 2007b. Florida Behavioral Risk Factor Data. Retrieved January 7, 2009, from http://www.floridacharts.com/charts/brfss.aspx Fontaine, K. R., Heo, M., and Allison, D. B. 2001. Body Weight and Cancer Screening among Women. Journal of Women’s Health & and Gender-Based Medicine 10: 463-470. Fulop, G.; Kopetsch, T.; and Schope, P. 2011. Catchment Areas of Medical Practices and the Role Played by Geographic Distance in the Patient’s Choice of Doctor. Annals of Regional Science 46(3): 691-706. Jintanakul, K; and Otto, D. 2009. Factors Affecting Hospital Choice for Rural Iowa Residents. Review of Regional Studies 39(2): 171-187. Katz, S. J. and Hofer, T. P. 1994. Socioeconomic Disparities in Preventive Care Persist despite Universal Coverage: Breast and Cervical Cancer Screening in Ontario and the United States. Journal of the American Medical Association 272: 530-534. Mason, P.B.; Toney, M.B.; and Cho, Y. 2011. Religious Affiliation and Hispanic Health in Utah. Social Science Journal 48(1): 175-192. McNamara, P.E. 2007. State-rural Health Policy. Journal of Regional Analysis and Policy 37(1): 56-59. Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., and Flegal, K.M. 2006. Prevalence of Overweight and Obesity in the United States. 1999-2004. Journal of the American Medical Association 295: 1549-1555. Ona, L.; Hudoyo, A.; and Freshwater, D. 2007. Economic Impact of Hospital Closure on Rural Communities in Three Southern States: A Quasi-Experimental Approach. Journal of Regional Analysis and Policy 37(2): 155-164. Shields, M; Mushinski, D; and Davis, L. 2009. Provision of Employer-Sponsored Health Insurance in Small Busi231-225.nesses: Does Rural Location Matter? Review of Regional Studies 39(2): 129-147. Simoes, E. J., Newschaffer, C. J., Hagdrup, N., Ali-Abarghoui, F., Tao, X., Mack, N. et al. 1999. Predictors of Compliance with Recommended Cervical Cancer Screening Schedule: A Population-based Study. Journal of Community Health 24: 115-130. Wee, C. , McCarthy, E. P.; Davis, R. B.; and Phillips, R. S. 2000. Screening for Cervical and Breast Cancer: Is Obesity an Unrecognized Barrier to Preventive Care? Annals of Internal Medicine 132(4): 697-704. Wee, C.; Phillips, R. S.; and McCarthy, E. P. 2005. BMI and Cervical Cancer Screening among White, African-American, and Hispanic Women in the United States. Obesity Research 13(6): 1275-1280. Welch, C.; Miller, C. W.; and James, N. T. 2008. Socio-demographic and Health-related Determinants of Breast and Cervical Cancer Screening Behavior, 2005. JOGNN: Journal of Obstetric, Gynecologic, & Neonatal Nursing 37(1): 51-57. What is the Pap Smear? (2004) Retrieved September 18, 2008, from http://www.ehealthmd.com/library/papsmear/PAP_whatis.html White, H. 1980. A Heteroskedasticity-Consistent Covariance Matrix and a Direct Test for Heteroskedasticity. Econometrica 48(4): 817-838. Wyneen, B.J. 2009. Reasons for Out-of-County Health Care Facilities in the Mississippi Delta. Review of Regional Studies 39(2): 213-225. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/49221 |