Background: Cardiometabolic health has been worsening among young adults, but the prevalence of lifestyle risk factors and cardiometabolic diseases is unclear. Methods and Results: Adults aged 18 to 44 years were included from the National Health and Nutrition Examination Survey, 2011 to 2018. Age‐standardized prevalence of lifestyle risk factors and cardiometabolic diseases was estimated overall and by demographic and social risk factors. A set of multivariable logistic regressions was sequentially performed by adjusting for age, sex, social risk factors, and lifestyle factors to determine whether racial and ethnic disparities in the prevalence of cardiometabolic diseases may be attributable to differences in social risk factors and lifestyle factors. Appropriate weights were used to ensure national representativeness of the estimates. A total of 10 405 participants were analyzed (median age, 30.3 years; 50.8% women; 32.3% non‐Hispanic White). The prevalence of lifestyle risk factors ranged from 16.3% for excessive drinking to 49.3% for poor diet quality. The prevalence of cardiometabolic diseases ranged from 4.3% for diabetes to 37.3% for dyslipidemia. The prevalence of having ≥2 lifestyle risk factors was 45.2% and having ≥2 cardiometabolic diseases was 22.0%. Racial and ethnic disparities in many cardiometabolic diseases persisted but were attenuated after adjusting for social risk factors and lifestyle factors. Conclusions: The prevalence of lifestyle risk factors and cardiometabolic diseases was high among US young adults and varied by race and ethnicity and social risk factors. Racial and ethnic disparities in the prevalence of cardiometabolic diseases were not fully explained by differences in social risk factors and lifestyle factors.
Objective: This study aimed to identify plasma exosomal microRNAs (miRNAs) associated with weight loss and type 2 diabetes (T2D) remission following low-calorie diet (LCD) intervention. Methods: A 6-month dietary intervention targeting T2D remission was conducted among individuals with T2D. Participants underwent a 3-month intensive weight loss phase consuming LCD (815–835 kcal/day) and a 3-month weight maintenance phase (N = 32). Sixteen participants were randomly selected for characterization of plasma-derived exosomal miRNA profiles at baseline, 3 months, and 6 months using small RNA sequencing. Linear mixed-effects models were used to identify differentially expressed exosomal miRNAs between responders and non-responders. Pathway enrichment analyses were conducted using target mRNAs of differentially expressed miRNAs. Logistic regression models assessed the predictive value of differentially expressed miRNAs for T2D remission. Results: Among the 16 participants, 6 achieved weight loss ≥10% and 12 achieved T2D remission. Eighteen exosomal miRNAs, including miR-92b-3p, miR-495-3p, and miR-452b-5p, were significantly associated with T2D remission and weight loss. Pathway analyses revealed enrichment in PI3K-Akt pathway, FoxO signaling pathway, and insulin receptor binding. The addition of individual miRNAs including miR-15b-3p, miR-26a-5p, and miR-3913-5p to base model improved the area under the curve values by 0.02–0.08 at 3 months and by 0.02–0.06 at 6 months for T2D remission. Conclusions: This study identified exosomal miRNAs associated with T2D remission and weight loss following LCD intervention. Several exosomal miRNAs might serve as valuable predictors of T2D remission in response to LCD intervention.