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Aim: To compare the strength of associations between surrogate indexes of insulin resistance (sIR) and risk of metabolic syndrome (MetS) in non-Hispanic White (NHW), non-Hispanic Black (NHB) and Mexican American (MA) adults., Methods: The 2013-2016 US National Health and Nutrition Examination Survey data (n = 3435) were used for this study. The associations between sIR that includes Triglyceride/HDL cholesterol ratio (TG/HDL-C), triglyceride glucose (TG) index, visceral adiposity index (VAI), lipid accumulation product (LAP), TG-body mass index (TG-BMI), and TG-waist circumference (TG-WC) and risk for MetS were determined using the prevalence odds ratio (OR) from the logistic regression analyses. Pseudo-R-squared tests were used to estimate the proportion of variance in MetS accounted for by each sIR. Akaike Information Criterion and Bayesian Information Criterion from the multinomial logistic regression analysis were used to compare models that included each sIR and its components separately as predictors of MetS. Areas under curves (AUC) from the receiver-operating characteristic (ROC) were used to detect their diagnostic capabilities., Results: Compared with other sIR, TG-WC (AUC = 0.899; 95% CI: 0.884-0.913 in NHW) and (AUC = 0.893; 95% CI:0.871-0.915 in NHB), and LAP (AUC = 877; 95% CI: 0.861-0.894 in MA) exhibited the highest diagnostic and predictive accuracy for MetS. Compared with other sIR, TG-WC (OR = 22.8; 95% CI:16.6-31.0 in NHW) and (OR = 22.7; 95% CI:13.1-39.3 in NHB), and LAP (OR = 10.6; 95%:6.6-17.0 in MA) were most significantly associated with increased odds of MetS, adjusting for eGFR, age, marital status, CHD, CHF, income, education, physical activity, alcohol use, smoking and use of cholesterol-lowering medication., Conclusions: TG-WC in NHW and NHB, and LAP in MA are more powerful than other proxies of IR in predicting MetS. TG-WC and LAP can serve as adjunctive tools for screening for MetS in NHW, NHB, and MA., Competing Interests: Declaration of competing interest None of the authors have conflicts of interest associated with the work., (Copyright © 2019 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Background: Few studies have examined the social and behavioral predictors of insufficient sleep., Objective: To assess the social and behavioral predictors of insufficient sleep in the U.S., Methods: Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design., Results: The mean age for the sample was 56 ± 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR = 1.65, p < 0.001, 95% CI = 1.65-1.66], black race/ethnicity [OR = 1.37, p < 0.001, 95% CI = 1.37-1.38], history of heart disease [OR = 1.26, p < 0.001, 95% CI = 1.25-1.28], care-giving to family/friends [OR = 1.50, p < 0.001, 95% CI = 1.49-1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23-1.25]., Conclusion: Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep., Competing Interests: The authors report no conflict of interest and have signed the ICMJE Uniform Disclosure Form. The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2015.02.533., (Copyright © 2015 Elsevier B.V. All rights reserved.)

African-Americans have emerged as the "second wave" of the AIDS epidemic. Epidemiologic evidence indicates that African-Americans adults as well as adolescents have a disproportionately higher risk of AIDS and human immunodeficiency virus (HIV) infection. While programs designed to increase self-protective behaviors are urgently needed to avert a further increase in HIV infection among this population, there is little understanding of African-American sociocultural factors that may influence the acceptance of HIV information and the adoption of HIV-preventive behaviors. This paper describes African-American cultural values and mores which may be related to risk-taking behavior. Barriers to the effective dissemination of HIV prevention education are identified and strategies that may be effective in surmounting these barriers and implementing culturally-appropriate HIV behavioral modification programs are described.