Prostate Cancer Screening and Mortality in Blacks and Whites: A Hospital-based Case-Control Study.

BACKGROUND: Prostate cancer incidence and mortality are substantially higher in Black than in white men. Prostate cancer screening remains controversial. This study was conducted to assess the impact of, and racial differences in, prostate cancer screening on prostate cancer mortality. METHODS: This was a case-control study of Black and White men in eight hospitals. Cases were deaths related to prostate cancer; controls were hospital-based subjects that were frequency-matched to cases based on age and race. Multivariable logistic regression was used to test the association between screening and prostate cancer mortality. RESULTS: Cases had fewer PSA (prostate-specific antigen) tests than controls (1.73 vs. 3.98, p<0.001). White controls had higher rates of PSA tests than other sub-groups. There was no difference in PSA testing between Black cases and controls. Mean co-morbidity was 10.3 in cases and 2.63 in controls. Prostate cancer mortality was 55 to 57% lower among the screened persons. Individuals who died of prostate cancer related causes were less likely to have received PSA testing (OR=0.65; 95% Cl 0.56-0.75). CONCLUSIONS: The odds of dying from prostate cancer were lower among white men receiving screening tests. Having less co-morbidity was associated with lower odds of mortality in both races. This study raises the possibility that screening for prostate cancer with the PSA test may be more effective in white than in Black men.

Smoking, environmental tobacco smoke, and risk of renal cell cancer: a population-based case-control study.

BACKGROUND: Kidney and renal pelvis cancers account for 4% of all new cancer cases in the United States, among which 85% are renal cell carcinomas (RCC). While cigarette smoking is an established risk factor for RCC, little is known about the contribution of environmental tobacco smoke (ETS) to RCC incidence. This study assesses the role of smoking and ETS on RCC incidence using a population-based case-control design in Florida and Georgia. METHODS: Incident cases (n = 335) were identified from hospital records and the Florida cancer registry, and population controls (n = 337) frequency-matched by age (+/- 5 years), gender, and race were identified through random-digit dialing. In-person interviews assessed smoking history and lifetime exposure to ETS at home, work, and public spaces. Home ETS was measured in both years and hours of exposure. Odds ratios and 95% confidence intervals were calculated using logistic regression, controlled for age, gender, race, and BMI. RESULTS: Cases were more likely to have smoked 20 or more pack-years, compared with never-smokers (OR: 1.35, 95% CI: 0.93 - 1.95). A protective effect was found for smoking cessation, beginning with 11-20 years of cessation (OR: 0.39, 95% CI: 0.18-0.85) and ending with 51 or more years of cessation (OR: 0.11, 95% CI: 0.03-0.39) in comparison with those having quit for 1-10 years. Among never-smokers, cases were more likely to report home ETS exposure of greater than 20 years, compared with those never exposed to home ETS (OR: 2.18; 95% CI: 1.14-4.18). Home ETS associations were comparable when measured in lifetime hours of exposure, with cases more likely to report 30,000 or more hours of home ETS exposure (OR: 2.37; 95% CI: 1.20-4.69). Highest quartiles of combined home/work ETS exposure among never-smokers, especially with public ETS exposure, increased RCC risk by 2 to 4 times. CONCLUSION: These findings confirm known associations between smoking and RCC and establish a potential etiologic role for ETS, particularly in the home. Differences in methods of retrospective measurement of lifetime smoking and ETS exposure may contribute to discrepancies in measures of associations across studies, and should be addressed in future research.

Risk factors for injury in middle school football players.

BACKGROUND: Little is known about the frequency of or risk factors for injuries in middle school or junior high school football players. PURPOSE: To examine the associations of player characteristics (injury history, conditioning, player position, special equipment) and physical parameters (body mass index, weight, height, grip strength) with risk of injury. STUDY DESIGN: Prospective cohort study. METHODS: We documented risk factors for injury in 646 middle school football players, 10 to 15 years of age, in the Oklahoma City, Oklahoma, school district during the 1998 and 1999 seasons. Player characteristics and physical parameters were measured at the beginning of both seasons. Logistic regression methods were used to determine whether baseline variables were associated with the odds of subsequent injury. RESULTS: More playing experience was the only variable significantly associated with the risk of injury in multivariate analyses. This association was observed regardless of the type of injury and even after indirectly controlling for time at risk of injury by restricting analyses to first-string players. Increasing age was significantly associated with the risk of fractures. CONCLUSIONS: Results suggest that physical characteristics play a minor role in risk of injury from football in this age group.

Risk factors for injury in high school football players.

BACKGROUND: Many studies have reported the frequency and types of injuries in high school football players. However, few have assessed the relationship between player characteristics and risk of injury. PURPOSE: To describe the epidemiologic characteristics of and risk factors for injury in high school football players and to determine whether players' characteristics could be used to predict subsequent injury. STUDY DESIGN: Prospective cohort study. METHODS: This study was part of a 2-year prospective investigation (1998 to 1999) of risk factors for injury in 717 (343 in the 1998 season and 374 in the 1999 season) high school football players in the Oklahoma City, Oklahoma, School District. Player characteristics (playing experience, position, injury history) and physical parameters (body mass index, weight, height, grip strength) were measured at the beginning of each season. Logistic regression analysis was used to determine whether any of the baseline variables were associated with the odds of subsequent injury. RESULTS: The physical characteristics of players, such as body mass index and strength, were not associated with risk of injury. More playing experience and a history of injury in the previous season were significantly related to increased risk. Linemen were at the highest risk of injury, particularly knee injuries and season-ending injuries. CONCLUSIONS: Future research should focus on decreasing the risk of injury to linemen.

The STarT back screening tool and individual psychological measures: evaluation of prognostic capabilities for low back pain clinical outcomes in outpatient physical therapy settings.

BACKGROUND: Psychologically informed practice emphasizes routine identification of modifiable psychological risk factors being highlighted. OBJECTIVE: The purpose of this study was to test the predictive validity of the STarT Back Screening Tool (SBT) in comparison with single-construct psychological measures for 6-month clinical outcomes. DESIGN: This was an observational, prospective cohort study. METHODS: Patients (n=146) receiving physical therapy for low back pain were administered the SBT and a battery of psychological measures (Fear-Avoidance Beliefs Questionnaire physical activity scale and work scale [FABQ-PA and FABQ-W, respectively], Pain Catastrophizing Scale [PCS], 11-item version of the Tampa Scale of Kinesiophobia [TSK-11], and 9-item Patient Health Questionnaire [PHQ-9]) at initial evaluation and 4 weeks later. Treatment was at the physical therapist's discretion. Clinical outcomes consisted of pain intensity and self-reported disability. Prediction of 6-month clinical outcomes was assessed for intake SBT and psychological measure scores using multiple regression models while controlling for other prognostic variables. In addition, the predictive capabilities of intake to 4-week changes in SBT and psychological measure scores for 6-month clinical outcomes were assessed. RESULTS: Intake pain intensity scores (ß=.39 to .45) and disability scores (ß=.47 to .60) were the strongest predictors in all final regression models, explaining 22% and 24% and 43% and 48% of the variance for the respective clinical outcome at 6 months. Neither SBT nor psychological measure scores improved prediction of 6-month pain intensity. The SBT overall scores (ß=.22) and SBT psychosocial scores (ß=.25) added to the prediction of disability at 6 months. Four-week changes in TSK-11 scores (ß=-.18) were predictive of pain intensity at 6 months. Four-week changes in FABQ-PA scores (ß=-.21), TSK-11 scores (ß=-.20) and SBT overall scores (ß=-.18) were predictive of disability at 6 months. LIMITATIONS: Physical therapy treatment was not standardized or accounted for in the analysis. CONCLUSIONS: Prediction of clinical outcomes by psychology-based measures was dependent upon the clinical outcome domain of interest. Similar to studies from the primary care setting, initial screening with the SBT provided additional prognostic information for 6-month disability and changes in SBT overall scores may provide important clinical decision-making information for treatment monitoring.

Associations of serum concentrations of organochlorine pesticides with breast cancer and prostate cancer in U.S. adults.

BACKGROUND: Organochlorine (OC) pesticides are a group of environmental endocrine disruptors that may be associated with an increased risk for hormone-related cancers including cancers of the breast and prostate. However, epidemiologic evidence is limited and inconsistent. OBJECTIVES AND METHODS: We used 1999-2004 National Health and Nutrition Examination Survey data to examine associations between serum concentrations of OC pesticides and prostate and breast cancers. RESULTS: After adjustment for other covariates, serum concentrations of beta-hexachlorocyclohexane (HCH) (p for trend = 0.02), trans-nonachlor (p for trend = 0.002), and dieldrin (p for trend = 0.04) were significantly associated with the risk of prevalent prostate cancer. Adjusted odds ratios for the second and third tertiles of detectable values were 1.46 [95% confidence interval (CI), 0.52-4.13] and 3.36 (95% CI, 1.24-9.10) for beta-HCH; 5.84 (95% CI, 1.06-32.2) and 14.1 (95% CI, 2.55-77.9) for trans-nonachlor; and 1.06 (95% CI, 0.30-3.73) and 2.74 (95% CI, 1.01-7.49) for dieldrin compared with concentrations in the lowest tertile or below the limit of detection. However, there was no positive association between serum concentrations of OC pesticides and breast cancer prevalence. CONCLUSION: Although further study is necessary to confirm these findings, these results suggest that OC pesticide exposures may have a significant effect on cancer risk. Efforts to reduce worldwide OC use are warranted.

Food groups and renal cell carcinoma: results from a case-control study.

BACKGROUND: The role of diet in renal cell carcinoma risk has been inconclusive. This study uses an integrative approach to assess the role of food groups and food items in renal cell carcinoma risk. DESIGN: A case-control study was conducted from 2003-2006. SUBJECTS/SETTING: Incident cases (n=335) were identified from hospital records and the Florida cancer registry, and population controls (n=337) frequency matched by age (+/-5 years), sex, and race were identified through random-digit dialing. Eating habits were assessed through the use of the 70-item Block food frequency questionnaire. STATISTICAL ANALYSES: Odds ratios (ORs), 95% confidence intervals (CIs), and tests for trends were calculated using logistic regression, controlled for age, sex, race, income, body mass index, and pack-years of smoking. RESULTS: Decreased renal cell carcinoma risk was observed among the total sample and for men for vegetable consumption (all subjects: OR 0.56, 95% CI 0.35, 0.88; men: OR 0.49, 95% CI 0.25, 0.96) but not for fruit consumption. Tomato consumption decreased renal cell carcinoma risk for the total population and for men (all subjects: OR 0.50, 95% CI 0.31, 0.81; men: OR 0.47, 95% CI 0.24, 0.95). Increased risk of renal cell carcinoma was observed among all subjects and among women with increased consumption of red meat (all subjects: OR 4.43, 95% CI 2.02, 9.75; women: OR 3.04, 95% CI 1.60, 5.79). White bread consumption increased renal cell carcinoma risk among women only (OR 3.05, 95% CI 1.50, 6.20), as did total dairy consumption (OR 2.36, 95% CI 1.21, 4.60). CONCLUSIONS: The protective role of vegetables and the increased risk of renal cell carcinoma with meat consumption are supported. The protective role of fruits is not. Novel findings include the increased risk of renal cell carcinoma with white bread and white potato consumption and the decreased risk of renal cell carcinoma with tomato consumption.

Familial aggregation of insulin resistance in first-degree relatives of patients with nonalcoholic fatty liver disease.

BACKGROUND & AIMS: An association between nonalcoholic fatty liver disease (NAFLD) and the insulin resistance (IR) syndrome exists. Familial clustering of IR may support a genetic predisposition to NAFLD or cryptogenic cirrhosis (CC). METHODS: Patients with NAFLD (n = 20) and healthy controls (n = 20) matched for age, sex, and body mass index with at least 4 living relatives and 2 generations of lineage participated in a familial aggregation study. A medical history was obtained from each subject and confirmed with first-degree family members. RESULTS: NAFLD patients were more likely to have cirrhosis (odds ratio [OR] = 12.0), cardiac disease (OR, 3.0), hyperlipidemia (OR, 12.1), diabetes mellitus (DM) (OR, 9.1), renal stones (OR, 4.1), and arthritis (OR, 6.1). IR (P = .042) (the primary dependent variable) and DM (P = .013) were noted in their first-degree relatives. A trend for familial clustering of NAFLD or CC (P = .059) with a maternal linkage for disease expression also may exist. Cholelithiasis (P = .047), presumed NAFLD and/or CC (P = .049), and a trend toward IR (P = .07) were noted in the mothers, but not the fathers, of patients with NAFLD. An increased risk of DM (OR, 4.2; 95% confidence interval, 1.26-18.7; P = .013), IR (OR, 2.86; 95% confidence interval, 1.02-9.38; P = .042), and smoking (OR, 3.41; 95% confidence interval, 1.43-9.07; P = .003) was observed in first-degree relatives of NAFLD patients. No significant survival difference was observed between family cohorts. CONCLUSIONS: Familial clustering and a potential maternal linkage for IR support a genetic predisposition for NAFLD. Alternatively, the presence of suppressor genes modifying the expression of IR in paternal lineage warrants further investigation.