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OBJECTIVE: To assess recent temporal trends in guideline-compliant pediatric lipid testing, and to examine the influence of social determinants of health (SDoH) and provider characteristics on the likelihood of testing in youth. STUDY DESIGN: In this observational, multiyear cross-sectional study, we calculated lipid testing prevalence by year among 268 627 12-year olds from 2015 through 2019 who were enrolled in Florida Medicaid and eligible for universal lipid screening during age 9 to 11, and 11 437 22-year olds (2017-2019) who were eligible for screening during age 17-21. We compared trends in testing prevalence by SDoH and health risk factors at two recommended ages and modeled the associations between patient characteristics and provider type on lipid testing using generalized estimating equations. RESULTS: Testing among 12-year olds remained low between 2015 through 2019 with the highest prevalence in 2015 (8.0%) and lowest in 2017 (6.7%). Screening compliance among 22-year olds was highest in 2017 (21.1%) and fell to 17.8% in 2019. Hispanics and non-Hispanic Blacks in both age groups had about 2%-3% lower testing prevalence than non-Hispanic Whites. Testing in 12-year olds was 12.3% vs 7.7% with and without obesity, and 14.4% vs 7.6% with and without antipsychotic use. Participants who saw providers who were more likely to prescribe lipid testing were more likely to receive testing (OR = 2.3, 95% CI 2.0-2.8, P < .001). CONCLUSIONS: Although lipid testing prevalence was greatest among high-risk children, overall prevalence of lipid testing in youth remains very low. Provider specialty and choices by individual providers play important roles in improving guideline-compliant pediatric lipid testing.

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OBJECTIVE: To assess the relationship between adverse childhood experiences (ACEs) and cardiometabolic risk among Hispanic adolescents. STUDY DESIGN: This cross-sectional study was conducted at an academic research center in Gainesville, Florida. Participants were locally recruited, and data were collected from June 2016 to July 2018. Participants (n = 133, 60.2% female) were healthy adolescents aged 15-21 years who self-identified as Hispanic, were born in the US, and had a body mass index (BMI) between ≥18.5 and ≤40 kg/m2. Primary outcomes were BMI, body fat percentage, waist circumference, and resting blood pressure. Associations between ACEs and cardiometabolic measures were assessed by multivariable logistic regression models, which controlled for sex, age, parental education, and food insecurity. Results were sex-stratified to assess potential variations. RESULTS: Reporting ≥4 ACEs (28.6%) was significantly associated with a greater BMI (P = .004), body fat percentage (P = .02), and diastolic blood pressure (P = .05) compared with reporting <4 ACEs. Female participants reporting ≥4 ACEs were significantly more likely to have a greater BMI (P = .04) and body fat percentage (P = .03) whereas male participants reporting ≥4 ACEs were significantly more likely to have a greater BMI (P = .04), systolic blood pressure (P = .03), and diastolic blood pressure (P = .03). CONCLUSIONS: Hispanic adolescent participants who experienced ≥4 ACEs were more likely to have elevated risk markers of obesity and cardiometabolic disease. Further research is needed to elucidate the physiological mechanisms driving these relationships.

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OBJECTIVE: The objective was to determine if calcium intake was associated with resting energy expenditure (REE) and body fat in children after accounting for ancestral genetic background. STUDY DESIGN: Participants included 315 children. REE, body composition, and dietary calcium were assessed by indirect calorimetry, dual-energy x-ray absorptiometry, and 24-hour recalls, respectively. Structural equations modeling assessed the relationships among REE, calcium intake, and body fat. RESULTS: There were positive associations between calcium intake and REE (P<.01) and between REE and total body fat (P<.0001). There was indirect effect of calcium intake on total body fat (P<.01). There were positive associations between calcium intake and REE (P<.01), and a trend toward an association of calcium intake and total body fat (P=.065) among boys only, whereas the only significant relationship among girls was an association of REE on total body fat (P<.0001). CONCLUSIONS: REE was associated with calcium intake and mediated a relationship between calcium intake and total body fat. These findings suggest calcium intake may play a role in fat accumulation and energy balance through its effects on REE, especially in boys.

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