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Aims: Type 2 diabetes is a major public health problem for the global community. Having a family history of diabetes significantly increases risk for diabetes development and understanding how family history contributes to diabetes risk could lead to more effective prevention efforts for at-risk individuals. In a previous study, we showed family history of diabetes is a significant predictor of fasting insulin in healthy weight children. The present study aimed to use the National Health and Nutrition Examination Survey (NHANES 2017) to apply similar multiple regression models to a population of healthy weight adults to determine if family history is a significant predictor of fasting glucose and fasting insulin. Methods: Fasting glucose (mg/dL) and fasting insulin (pmol/L) were used as dependent variables in each model, respectively, with family history of diabetes as the independent variable. Covariates for each model included age, gender, race/ethnicity, waist circumference, and macronutrient intake. Results: The model significantly predicted the variance of fasting glucose [(F(11,364) = 34.80, p < 0.001, R2 = 0.2342] and fasting insulin [F(11,343) = 17.58, p < 0.001, R2 = 0.1162]. After adjusting for covariates, family history was a significant predicator of fasting glucose (p = 0.0193) as well as age, gender, non-Hispanic black ethnicity, waist circumference, and fat intake. Significant predictors of fasting insulin included gender and waist circumference, but not family history (p = 0.8264). In addition, fasting glucose was higher in individuals with a family history of diabetes (p = 0.033). Conclusions: These results add to the understanding of how family history influences the biomarkers that contribute to diabetes development. Knowledge of how family history of diabetes relates to fasting insulin and fasting glucose activity in healthy weight individuals can be used to design personalized screening and early prevention strategies. [ABSTRACT FROM AUTHOR]

Aims: To explore the association of marijuana use with mean plasma fasting insulin levels and homeostasis model assessment of insulin resistance (HOMA-IR) score in obese adults with different HOMA-IR. Methods: The National Health and Nutrition Examination Survey (NHANES) is a survey research program designed to assess the health and nutrition status of individuals in the United States and to track changes over time. We abstracted data from NHANES 2009–2016. We estimated the minimal lifetime marijuana use (MLU) using the duration of regular exposure and the frequency of use. We assessed the association of MLU and both plasma fasting insulin and HOMA-IR score using log-linear regression models. Results: A total of 65,209 obese individuals aged 18 to 59 years were included. In obese individuals who never used marijuana (reference), the mean value (± standard deviation) was 19.0 (± 12.8) μU/mL for plasma fasting insulin and 4.78 (± 3.49) for HOMA-IR. In individuals with HOMA-IR < 2.13 or ≥ 5.72, we found no association of marijuana use with HOMA-IR. In those with HOMA-IR < 5.72, the highest tertile of MLU (i.e., ≥ 1799 times) was associated with 12% decrease (95% confidence intervals, 4–19%) in the fasting insulin and 10% decrease in HOMA-IR (95% CI 1–19%), as compared with their counterparts who never used marijuana. In those with HOMA-IR ≥ 2.13, we found a marked impact of marijuana use only in adults who used marijuana ≥ 1799 times, with 13% decrease (95% CI 5–19%) in fasting insulin and 10% decrease (95% CI 3–18%) in HOMA-IR score. Conclusions: Marijuana use is associated with reduced fasting insulin levels and HOMA-IR score in US obese adults with HOMA-IR ≥ 2.13, but not in those with HOMA-IR < 2.13 or ≥ 5.72. The impact of marijuana use is the greatest after long-term exposure and is independent of BMI. [ABSTRACT FROM AUTHOR]

Insulin-mediated glucose disposal varies severalfold in apparently healthy individuals, and approximately one-third of the most insulin resistant of these individuals is at increased risk to develop various adverse clinical syndromes. Since direct measurements of insulin sensitivity are not practical in a clinical setting, several surrogate estimates of insulin action have been proposed, including fasting plasma insulin (FPI) concentration and the homeostasis model assessment of insulin resistance (HOMA-IR) calculated by a formula employing fasting plasma glucose (FPG) and FPI concentrations. The objective of this study was to compare FPI as an estimate of insulin-mediated glucose disposal with values generated by HOMA-IR in 758 apparently healthy nondiabetic individuals. Measurements were made of FPG, FPI, triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C) concentrations, and insulin-mediated glucose uptake was quantified by determining steady-state plasma glucose (SSPG) concentration during the insulin suppression test. FPI and HOMA-IR were highly correlated ( r = 0.98, P < 0.001). The SSPG concentration also correlated to a similar degree ( P < 0.001) with FPI ( r = 0.60) and HOMA-IR ( r = 0.64). Furthermore, the relationship between FPI and TG ( r = 0.35) and HDL-C ( r = −0.40) was comparable to that between HOMA-IR and TG ( r = 0.39) and HDL-C ( r = −0.41). In conclusion, FPI and HOMA-IR are highly correlated in nondiabetic individuals, with each estimate accounting for ~40 % of the variability (variance) in a direct measure of insulin-mediated glucose disposal. Calculation of HOMA-IR does not provide a better surrogate estimate of insulin action, or of its associated dyslipidemia, than measurement of FPI. [ABSTRACT FROM AUTHOR]