Independent predictors of insulin resistance in Brazilian adolescents: Results of the study of cardiovascular risk in adolescents-Brazil

Weight Gain from Birth to Adolescence and TyG Index at Age 18 Years: A Cohort Study in Northeast Brazil

BACKGROUND

Developmental models suggest that the phenotypes may arise from an immediate or mediated adaptive metabolic response of the perinatal growth. Evidence on the cumulative effects of growth and factors associated with risk of insulin resistance in adolescents is lacking.

OBJECTIVE

To investigate the association between birthweight, weight gain during infancy, childhood and adolescence and the triglyceride-glucose index in adolescents.

METHODS

This is a cohort of 217 children born at term, followed for the first six months, and reassessed at 8 and 18 years of age. The variables of interest were birthweight, postnatal growth defined as rapid postnatal growth when the weight gain from birth to six months of age was greater than 0.67 z-score, and the same criterion was used for high BMI gain from ages 6 months to 8 years, and from 8 to 18 years. Socioeconomic condition, nutritional status, practice of physical exercises and consumption of ultra-processed foods were verified. Multivariate linear regression analysis was used to verify the effect of the variables on the triglyceride-glucose index.

RESULTS

Birthweight was not associated with triglyceride-glucose index in adolescence. Rapid postnatal growth during the first 6 months, higher BMI gain from 8 to 18 years and higher waist circumference contributed significantly to explain higher triglyceride-glucose index.

CONCLUSION FOR PRACTICE

Our findings suggest that rapid postnatal growth may be one of the first signs of a higher triglyceride-glucose index in adolescence and that attention should be paid to the greater gain in body mass between childhood and adolescence for the risk of a higher triglyceride-glucose index.

School Feeding as a Protective Factor against Insulin Resistance: The Study of Cardiovascular Risks in Adolescents (ERICA)

The objective of this study was to use ERICA data from adolescents from Brazilian public schools to investigate the role of school feeding in insulin resistance markers. Public school students (12-17 years old) with available biochemical examinations were selected. Adolescents answered a self-administered questionnaire, and contextual characteristics were obtained through interviews with principals. A multilevel mixed-effects generalized linear model was performed at the contextual and individual levels with each insulin resistance marker (fasting insulin, HOMA-IR, and blood glucose levels). A total of 27,990 adolescents were evaluated (50.2% female). The prevalence of (1) altered insulin was 12.2% (95% CI; 11.1, 13.5), (2) high HOMA-IR was 24.7% (95% CI; 22.8, 26.7), and (3) high blood glucose was 4.6% (95% CI; 3.8, 5.4). School feeding was positively associated with an insulin resistance marker, decreasing by 0.135 units of HOMA-IR (95% CI; -0.19, -0.08), 0.469 μU/L of insulin levels (95% CI; -0.66, -0.28), and 0.634 mg/dL of blood glucose (95% CI; -0.87, -0.39). In turn, buying food increased blood glucose by 0.455 mg/dL (95% CI; 0.16, 0.75). School feeding was positively associated with insulin resistance variables, demonstrating the potential of planned meals in the school environment to serve as a health promoter for the adolescent population.

Lean insulin-resistant young adults display increased cardiometabolic risk: A retrospective cross-sectional study

AIM

We investigated whether lean insulin-resistant individuals manifest increased cardiometabolic risk.

METHODS

2,341 (51.8% females) healthy 16-23-year-old subjects were categorized as lean or overweight/obese; and insulin-sensitive or insulin-resistant, and compared.

RESULTS

In both sexes, lean insulin-sensitive and insulin-resistant subjects displayed similar measures of obesity (e.g., males, waist-to-height ratio: lean insulin-sensitive: 0.42 ± 0.03, lean insulin-resistant: 0.43 ± 0.03, overweight/obese insulin-sensitive: 0.49 ± 0.05, overweight/obese insulin-resistant: 0.53 ± 0.06). Lean insulin-sensitive individuals were more insulin-sensitive compared with their overweight/obese peers; insulin-resistant groups presented similar insulin-sensitivity (males, the Quantitative insulin-sensitivity check index (QUICKI): lean insulin-sensitive: 0.354 ± 0.022, lean insulin-resistant: 0.304 ± 0.013, overweight/obese insulin-sensitive: 0.343 ± 0.019, overweight/obese insulin-resistant: 0.299 ± 0.015). The two-factor analysis of variance indicated an independent effect of insulin sensitivity, overweight/obesity, and their interaction on the continuous metabolic syndrome score (p < 0.001, all; males, lean insulin-sensitive: 1.87 ± 0.35, lean insulin-resistant: 2.14 ± 0.42, overweight/obese insulin-sensitive: 2.15 ± 0.40, overweight/obese insulin-resistant: 2.75 ± 0.69). C-reactive protein, leukocyte count, and glomerular filtration rate in both sexes; uric acid, asymmetric dimethyl-arginine, and soluble vascular adhesion protein-1 in males; and soluble receptor for advanced glycation end-products in females were independently associated with insulin resistance. Among phenotypes associated with low QUICKI, the distribution of insulin-resistant individuals was random.

CONCLUSION

Later clinical consequences of insulin resistance in lean subjects remain to be elucidated in longitudinal studies.