The Effectiveness of Total Worker Health Interventions: A Systematic Review for a National Institutes of Health Pathways to Prevention Workshop.

BACKGROUND: The Total Worker Health (TWH) program of the National Institute for Occupational Safety and Health aims to advance worker well-being by integrating injury and illness prevention efforts with work-related safety and health hazard efforts. PURPOSE: To evaluate evidence on the benefits and harms of integrated TWH interventions. DATA SOURCES: MEDLINE, Cochrane Library, and PsycINFO (January 1990 through September 2015); clinical trial registries; and reference lists. STUDY SELECTION: English-language studies that enrolled employed adults and compared integrated interventions with usual work practice, no intervention, or another intervention. DATA EXTRACTION: Dual abstraction and risk-of-bias (ROB) assessment. DATA SYNTHESIS: Ten of the 15 included studies had high ROB, primarily because of selection and attrition bias. Findings graded as having low strength of evidence (SOE) supported the effectiveness of TWH interventions for improving smoking cessation, as measured by self-reported 7-day abstinence over 22 to 26 weeks (2 randomized, controlled trials [RCTs]; n = 737), and increasing consumption of fruits and vegetables over 26 to 104 weeks (3 RCTs; n = 6056); results apply to populations of blue-collar manufacturing and construction workers. Findings graded as having low SOE supported the effectiveness of TWH interventions for reducing sedentary work behavior in office workers over 16 to 52 weeks (2 RCTs; n = 262). Evidence was insufficient or lacking for other outcomes of interest, such as rates of work injuries, quality of life, and harms. LIMITATION: Small, diverse body of evidence with many methodological limitations; possible publication bias. CONCLUSION: Integrated TWH interventions might improve health behaviors (for example, reduce tobacco use and sedentary behavior and improve diet) of workers, but effects of these interventions on injuries and overall quality of life are not known. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci.

Previously developed models for predicting absolute risk of invasive epithelial ovarian cancer have included a limited number of risk factors and have had low discriminatory power (area under the receiver operating characteristic curve (AUC) < 0.60). Because of this, we developed and internally validated a relative risk prediction model that incorporates 17 established epidemiologic risk factors and 17 genome-wide significant single nucleotide polymorphisms (SNPs) using data from 11 case-control studies in the United States (5,793 cases; 9,512 controls) from the Ovarian Cancer Association Consortium (data accrued from 1992 to 2010). We developed a hierarchical logistic regression model for predicting case-control status that included imputation of missing data. We randomly divided the data into an 80% training sample and used the remaining 20% for model evaluation. The AUC for the full model was 0.664. A reduced model without SNPs performed similarly (AUC = 0.649). Both models performed better than a baseline model that included age and study site only (AUC = 0.563). The best predictive power was obtained in the full model among women younger than 50 years of age (AUC = 0.714); however, the addition of SNPs increased the AUC the most for women older than 50 years of age (AUC = 0.638 vs. 0.616). Adapting this improved model to estimate absolute risk and evaluating it in prospective data sets is warranted.

ABO blood group and risk of epithelial ovarian cancer within the Ovarian Cancer Association Consortium.

PURPOSE: Previous studies have examined the association between ABO blood group and ovarian cancer risk, with inconclusive results. METHODS: In eight studies participating in the Ovarian Cancer Association Consortium, we determined ABO blood groups and diplotypes by genotyping 3 SNPs in the ABO locus. Odds ratios and 95 % confidence intervals were calculated in each study using logistic regression; individual study results were combined using random effects meta-analysis. RESULTS: Compared to blood group O, the A blood group was associated with a modestly increased ovarian cancer risk: (OR: 1.09; 95 % CI: 1.01-1.18; p = 0.03). In diplotype analysis, the AO, but not the AA diplotype, was associated with increased risk (AO: OR: 1.11; 95 % CI: 1.01-1.22; p = 0.03; AA: OR: 1.03; 95 % CI: 0.87-1.21; p = 0.76). Neither AB nor the B blood groups were associated with risk. Results were similar across ovarian cancer histologic subtypes. CONCLUSION: Consistent with most previous reports, the A blood type was associated modestly with increased ovarian cancer risk in this large analysis of multiple studies of ovarian cancer. Future studies investigating potential biologic mechanisms are warranted.