Long-term vs. recent-onset obesity: their contribution to cardiometabolic risk in adolescence.

BACKGROUND: The contribution of long-term vs. recent-onset obesity to cardiometabolic risk in adolescence remains controversial. Here, we aimed to investigate the association of time of onset and length of obesity with the cardiometabolic profile of adolescence. METHODS: Prospective study in 678 16-year-olds. BMI was measured at birth-1-5-10-16 years and BMI trajectories were interpolated using cubic splines. BMI > 2 SD at <6 years was defined as early obesity. Waist circumference (WC), blood pressure, lipid and glucose profiles were measured at 16 years. A cardiometabolic risk score was computed (MetS_score). According to the BMI trajectory, four groups were defined: participants who were never obese (NOB), participants with obesity during adolescence (recent-onset obese (ROB)), participants who were obese in early childhood but transitioned to normal/overweight as preadolescents (formerly obese (FOB)), and participants who were obese in early childhood and remained obese (persistently obese (POB)). RESULTS: ROBs and POBs had significantly unhealthier cardiometabolic profile than NOBs. No differences were observed in the cardiometabolic profile of ROBs compared to POBs. Although FOBs had higher WC and MetS_score than NOBs, no differences were found in other biomarkers. FOBs were in healthier cardiometabolic condition than ROBs and POBs. CONCLUSIONS: Both long-term and recent-onset obesity increase the cardiometabolic risk in adolescents.

Light smoking is associated with metabolic syndrome risk factors in Chilean young adults.

AIMS: Metabolic syndrome (MetS) is a cluster of risk factors for cardiometabolic diseases. While cigarette smoking is associated with MetS in adults, young adulthood is an under-studied, susceptible period for developing long-term morbidity from MetS. We examined associations between cigarette smoking and MetS risk factors. METHODS: We studied 430 participants in Santiago, Chile who have been followed in a longitudinal cohort since infancy and assessed in adolescence for MetS. Participants were evaluated at 22 years from May 2015 to July 2017. Adiposity, blood pressure, and blood samples were measured. MetS was defined using International Diabetes Federation criteria. A continuous MetS score was calculated using z-scores. Participants self-reported cigarette and alcohol consumption using standardized questionnaires. We used multivariate regressions to examine associations between smoking and MetS risk factors, adjusting for sex, MetS in adolescence, alcohol consumption, and socioeconomic status. RESULTS: Thirteen percent of participants had MetS and 50% were current smokers. Among smokers, mean age of initiation was 14.9 years and consumption was 29 cigarettes weekly. Smokers had larger waist circumferences, higher BMIs, and lower high-density lipoprotein (HDL) cholesterol compared to non-smokers. Being a current smoker was significantly associated with higher waist circumference (ß = 2.82; 95% CI 0.63, 5.02), lower HDL (ß = - 3.62; 95% CI - 6.19, - 1.04), higher BMI (ß = 1.22; 95% CI 0.16, 2.28), and higher MetS score (ß = 0.13, 95% CI 0.02, 0.24). CONCLUSIONS: Cigarette smoking at light levels (mean < 30 cigarettes weekly) was associated with MetS risk factors in a sample of Chilean young adults.