Abstract:BACKGROUND
Prostate cancer (PC) mortality is much greater for African American than for Caucasian men. To identify patient factors that might account for some of this disparity, men within 6 months of diagnosis were surveyed about health attitudes and behavior.
METHODS
Using Rapid Identification in the North Carolina Cancer Registry, 207 African American and 348 Caucasian recently diagnosed PC patients were identified and surveyed.
RESULTS
African American men were younger and less often currently married, and… Show more
“…However, NHB were still more likely than NHW and Hispanic men to be diagnosed with late-stage cancer, which is consistent with the literature. 23,38 In this study, age was statistically significant, indicating younger men were more likely to be diagnosed at late-stage cancer. However the difference is minimal.…”
Section: Discussionmentioning
confidence: 50%
“…22,23 This finding may have health policy implications. Moreover, our findings on smoking confirm the detrimental effect of tobacco use on prostate health.…”
Section: Discussionmentioning
confidence: 81%
“…13,14,16-19 Disparities in late-stage diagnosis by geographical location have been associated with poor access to primary health care, lack of health insurance and difference in coverage. 20-23 …”
Disparities in prostate cancer diagnosis among racial/ethnic groups and across Florida were mapped for the period 1996–2002 and their relationship with putative factors (individual, census tract and county level) was investigated using multilevel modeling and contingency analysis. More counties had higher rates of late-stage diagnosis for Black men than for White men and the location of these racial disparities changed with time. An important finding was the substantially larger correlation between county-level rates for Black and White men in 2002 relatively to 1996, which suggests a convergence in their spatial patterns. Major significant factors for late-stage diagnosis included lack of insurance, low household income, smoking, not being married and presence of farm house. These findings should help the design of intervention programs to target counties with the greatest racial disparities in health outcomes. Additional analysis is needed to disentangle the observed racial/ethnic and geographic differences.
“…However, NHB were still more likely than NHW and Hispanic men to be diagnosed with late-stage cancer, which is consistent with the literature. 23,38 In this study, age was statistically significant, indicating younger men were more likely to be diagnosed at late-stage cancer. However the difference is minimal.…”
Section: Discussionmentioning
confidence: 50%
“…22,23 This finding may have health policy implications. Moreover, our findings on smoking confirm the detrimental effect of tobacco use on prostate health.…”
Section: Discussionmentioning
confidence: 81%
“…13,14,16-19 Disparities in late-stage diagnosis by geographical location have been associated with poor access to primary health care, lack of health insurance and difference in coverage. 20-23 …”
Disparities in prostate cancer diagnosis among racial/ethnic groups and across Florida were mapped for the period 1996–2002 and their relationship with putative factors (individual, census tract and county level) was investigated using multilevel modeling and contingency analysis. More counties had higher rates of late-stage diagnosis for Black men than for White men and the location of these racial disparities changed with time. An important finding was the substantially larger correlation between county-level rates for Black and White men in 2002 relatively to 1996, which suggests a convergence in their spatial patterns. Major significant factors for late-stage diagnosis included lack of insurance, low household income, smoking, not being married and presence of farm house. These findings should help the design of intervention programs to target counties with the greatest racial disparities in health outcomes. Additional analysis is needed to disentangle the observed racial/ethnic and geographic differences.
“…A growing body of evidence supports the association of PCa risk with farming, due to exposure to toxic chemicals, especially pesticides (Alavanja et al, 2003; Meyer, Coker, Sanderson, & Symanski, 2007; Settimi, Masina, Andrion, & Axelson, 2003). Geographical disparities in percent of late-stage PCa have been associated with poor access to primary health care, lack of health insurance and difference in coverage (Mandelblatt, Yabroff, & Kerner, 1999; Mullins, Blatt, Gbarayor, Yang, & Baquet, 2005; Roetzheim et al, 1999; Talcott et al, 2007). …”
This study assessed spatial context and the local impacts of putative factors on the proportion of prostate cancer diagnosed at late-stages in Florida during the period 2001–2007. A logistic regression was performed aspatially and by geographically-weighted regression (GWR) at the nodes of a 5 km spacing grid overlaid over Florida and using all the cancer cases within a radius of 125 km of each node. Variables associated significantly with high percentages of late-stage prostate cancer included having comorbidities, smoking, being Black and living in census tracts with farmhouses. Having private or public insurance, being married or diagnosed in a for-profit facility, as well as living in census tracts with high household income reduced significantly this likelihood. Geographically-weighted regression allowed the identification of areas where the local odds ratio is significantly different from the ratio estimated using aspatial regression (State-level). For example, the local odds ratios for the comorbidity covariates were significantly smaller than the State-level odds ratio in Tallahassee and Pensacola, while they were significantly larger in Palm Beach. This emphasizes the need for local strategies and cancer control interventions to reduce the percentage of prostate cancer diagnosed at late-stages and ultimately eliminate health disparities.
“…A growing body of evidence supports the association of prostate cancer risk to farming due to exposure to toxic chemicals, especially pesticides (Alavanja et al, 2003; Meyer, Coker, Sanderson, & Symanski, 2007; Settimi, Masina, Andrion, & Axelson, 2003). Geographical disparities in late-stage diagnosis have been associated with poor access to primary health care, lack of health insurance, and difference in coverage (Mandelblatt, Yabroff, & Kerner, 1999; Mullins, Blatt, Gbarayor, Yang, & Baquet, 2005; Roetzheim et al, 1999; Talcott et al, 2007). …”
To examine the association of major types of comorbidity with late-stage prostate cancer, a random sample of 11,083 men diagnosed with prostate cancer during 2002-2007 was taken from the Florida Cancer Data System. Individual-level covariates included demographics, primary insurance payer, and comorbidity following the Elixhauser Index. Socioeconomic variables were extracted from Census 2000 data and merged to the individual level data. Provider-to-case ratio at county level was alsocomputed. Multilevel logistic regression was used to assess associations between these factors and late-stage diagnosis of prostate cancer. Higher odds of late-stage diagnosis was significantly related to presence of comorbidities, being unmarried, current smoker, uninsured, and diagnosed in not-for-profit hospitals. The study reported that the presence of certain comorbidities, specifically 10 out of the 45, was associated with late-stage prostate cancer diagnosis. Eight out of 10 significant comorbid conditions were associated with greater risk of being diagnosed at late-stage prostate cancer. On the other hand, men who had chronic pulmonary disease, and solid tumor without metastasis, were less likely to be diagnosed with late-stage prostate cancer. Late-stage diagnosis was associated with comorbidity, which is often associated with increased health care utilization. The association of comorbidity with late-stage prostate cancer diagnosis suggests that individuals with significant comorbidity should be offered routine screening for prostate cancer rather than focusing only on managing symptomatic health problems.
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