Browsing by Subject "Pediatric obesity"

Now showing 1 - 3 of 3
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    Oxidized Derivatives of Linoleic Acid in Pediatric Metabolic Syndrome: Is Their Pathogenic Role Modulated by the Genetic Background and the Gut Microbiota?
    (Mary Ann Liebert, 2018-11-30) Tricò, Domenico; Di Sessa, Anna; Caprio, Sonia; Chalasani, Naga; Liu, Wanqing; Liang, Tiebing; Graf, Joerg; Herzog, Raimund I.; Johnson, Casey D.; Umano, Giuseppina Rosaria; Feldstein, Ariel E.; Santoro, Nicola; Medicine, School of Medicine
    We tested whether oxidized linoleic acid metabolites (OXLAM) are associated with pediatric metabolic syndrome (MetS) and a proatherogenic lipoprotein profile in 122 obese adolescents. Furthermore, we examined whether genetic and metagenomic factors can modulate plasma OXLAM concentrations by genotyping the fatty acid desaturase 1/2 (FADS) gene and by characterizing the gut microbiota. Subjects with MetS (n = 50) showed higher concentrations of 9- and 13-oxo-octadecadienoic acid (9- and 13-oxo-ODE) than subjects without MetS (n = 72). Both metabolites were associated with an adverse lipoprotein profile that was characterized by elevated very small-dense low-density lipoprotein (p < 0.005) and large very low-density lipoprotein particles (p = 0.01). Plasma 9- and 13-oxo-ODE were higher in subjects carrying the haplotype AA of the FADS gene cluster (p = 0.030 and p = 0.048, respectively). Furthermore, the reduced gut bacterial load was associated with higher 9-oxo-ODE concentrations (p = 0.035). This is the first study showing that high plasma OXLAM concentrations are associated with MetS and suggesting that the leading factors for high plasma concentrations of OXLAM might be the genetic background and the composition of the gut microbiota. In conclusion, high concentrations of 9- and 13-oxo-ODE, which may be the result of a genetic predisposition and a reduced gut bacterial load, are associated with MetS and with a proatherogenic lipoprotein profile in obese adolescents.
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    Predicting body mass index in early childhood using data from the first 1000 days
    (Springer Nature, 2023-05-31) Cheng, Erika R.; Cengiz, Ahmet Yahya; Miled, Zina Ben; Pediatrics, School of Medicine
    Few existing efforts to predict childhood obesity have included risk factors across the prenatal and early infancy periods, despite evidence that the first 1000 days is critical for obesity prevention. In this study, we employed machine learning techniques to understand the influence of factors in the first 1000 days on body mass index (BMI) values during childhood. We used LASSO regression to identify 13 features in addition to historical weight, height, and BMI that were relevant to childhood obesity. We then developed prediction models based on support vector regression with fivefold cross validation, estimating BMI for three time periods: 30-36 (N = 4204), 36-42 (N = 4130), and 42-48 (N = 2880) months. Our models were developed using 80% of the patients from each period. When tested on the remaining 20% of the patients, the models predicted children's BMI with high accuracy (mean average error [standard deviation] = 0.96[0.02] at 30-36 months, 0.98 [0.03] at 36-42 months, and 1.00 [0.02] at 42-48 months) and can be used to support clinical and public health efforts focused on obesity prevention in early life.
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    Twelve-Month Outcomes of the First 1000 Days Program on Infant Weight Status
    (American Academy of Pediatrics, 2021) Taveras, Elsie M.; Perkins, Meghan E.; Boudreau, Alexy Arauz; Blake-Lamb, Tiffany; Matathia, Sarah; Kotelchuck, Milton; Luo, Mandy; Price, Sarah N.; Roche, Brianna; Cheng, Erika R.; Pediatrics, School of Medicine
    Objectives: To examine the effects of the First 1000 Days intervention on the prevalence of infant overweight and maternal postpartum weight retention and care. Methods: Using a quasi-experimental design, we evaluated the effects of the First 1000 Days program among 995 term, low-income infants and their mothers receiving care in 2 intervention community health centers and 650 dyads in 2 comparison health centers. The program includes staff training, growth tracking, health and behavioral screening, patient navigation, text messaging, educational materials, and health coaching. Comparison centers implemented usual care. Infant outcomes were assessed at 6 and 12 months, including weight-for-length z score and overweight (weight for length ≥97.7th percentile). We also examined maternal weight retention and receipt of care 6 weeks' post partum. Results: The mean birth weight was 3.34 kg (SD 0.45); 57% of infants were Hispanic; 66% were publicly insured. At 6 months, infants had lower weight-for-length z scores (β: -.27; 95% confidence interval [CI]: -.39 to -.15) and lower odds of overweight (adjusted odds ratio [OR]: 0.46; 95% CI: 0.28 to 0.76) than infants in comparison sites; differences persisted at 12 months (z score β: -.18; 95% CI: -.30 to -.07; adjusted OR for overweight: 0.60; 95% CI: 0.39 to 0.92). Mothers in the intervention sites had modestly lower, but nonsignificant, weight retention at 6 weeks' post partum (β: -.51 kg; 95% CI: -1.15 to .13) and had higher odds (adjusted OR: 1.50; 95% CI: 1.16 to 1.94) of completing their postpartum visit compared with mothers in the comparison sites. Conclusions: An early-life systems-change intervention combined with coaching was associated with improved infant weight status and maternal postpartum care.