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Cardiovascular disease (CVD) risk factors in children have increased in prevalence. Dietary intake may modify risk. Data collected during a randomized trial testing the effect of a behavioral intervention on adiposity, blood pressure (BP), and left ventricular mass index (LVMI) were analyzed using multivariable regression to determine independent associations of sodium, sugar-sweetened beverage (SSB), and artificially sweetened beverage (ASB) intake with outcomes. High sodium intake (≥3.5 g) was associated with hypertensive BP (odds ratio 12.8; P =.027) in minimally adjusted models. High SSB intake (≥4 oz) was independently associated with body mass index z -score (β =.34; P =.035) and waist circumference z -score (β =.49; P =.022) in fully adjusted models. Any ASB intake was associated with LVMI in fully adjusted model (% change 38.22; P =.004). There was no effect modification between sodium and SSB on outcomes. Dietary factors explored in this study independently impacted CVD risk. Further effect measure modification should be explored in larger cohorts. [ABSTRACT FROM AUTHOR]

Summary: Background: Gestational weight gain (GWG) and anthropometric trajectories may affect foetal programming and are potentially modifiable. Objectives: To assess concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition. Methods: Data are from a prospective cohort of singleton pregnancies (n = 2182) enrolled in United States perinatal centres, 2009–2013. Overall and by prepregnancy BMI group (overweight/obesity and healthy weight), joint latent trajectory models were fit with prenatal weight, mid‐upper arm circumference (MUAC), triceps (TSF) and subscapular (SSF) skinfolds. Differences in neonatal body composition by trajectory class were assessed via weighted least squares. Results: Six trajectory patterns reflecting co‐occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight BMI, some differences were observed for neonatal subcutaneous adipose tissue, and among individuals with overweight/obesity some differences in neonatal lean mass were found. Neonatal adiposity measures were higher among infants born to individuals with prepregnancy overweight/obesity. Conclusions: Six integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger influence of prepregnancy BMI. [ABSTRACT FROM AUTHOR]

Background: Side effects of medications for opioid use disorder (MOUD) such as weight gain contribute to their stigma. Substantial evidence suggests that women have a more severe side effect profile to MOUD than men, and concerns about weight gain during treatment are prevalent. However, the few studies reporting sex differences in weight gain during treatment show conflicting results and are restricted to methadone. In addition, little is known about possible sex differences in weight gain to buprenorphine, which is the most commonly prescribed MOUD in the United States.Methods: To address these issues, we performed a systematic review and meta-analysis on the few studies reporting longitudinal data on sex differences in body mass index (BMI) gain during methadone treatment (Study 1). In a separate study, we also re-analyzed data from trial CTN-0030 of the National Institute on Drug Abuse Clinical Trial Network (NIDA CTN), which involved a 12-week buprenorphine treatment regimen (Study 2; n = 360; 209 Male, 151 Female).Results: For Study 1, across all papers reporting longitudinal data (k = 4, n = 362 OUD patients), there were BMI increases that ranged from 2.2 to 5.4 BMI after at least one year of methadone treatment, but there were no significant sex differences in BMI increases (Standardized Mean Difference, Female > Male = 0.352, SE =0.270; 95 % CI = [-0.18 0.88]; p = .193). Study 2 showed no significant differences in weight before and after 12 weeks of buprenorphine treatment nor did it show sex differences in weight change with treatment (β = 2.34, p = .511).Conclusion: These analyses corroborate evidence of weight gain with methadone treatment but did not observe a sex-based disparity in weight gain with methadone or buprenorphine treatment for OUD. [ABSTRACT FROM AUTHOR]

Summary: Background: The association between body mass index (BMI) and adiposity differs by race/ethnicity. Objective: To examine differences in adiposity by race/Hispanic origin among US youth and explore how those differences relate to differences in BMI using the most recent national data, including non‐Hispanic Asian youth. Methods: Weight, height and DXA‐derived fat mass index (FMI) and percentage body fat (%BF) from 6923 youth 8–19 years in the National Health and Nutrition Examination Survey (NHANES) 2011–2018 were examined. Age‐adjusted mean BMI, FMI and %BF were reported. Sex‐specific linear regression models predicting %BF and FMI were adjusted for age, BMI category and BMI category*race/Hispanic origin interaction. Results: %BF was highest among Hispanic males (28.2%) and females (35.7%). %BF was lower among non‐Hispanic Black (23.9%) compared with non‐Hispanic White (26.0%) and non‐Hispanic Asian (26.6%) males. There was no difference between non‐Hispanic Black females (32.7%) and non‐Hispanic White (33.2%) or non‐Hispanic Asian (32.7%) females. FMI was higher among Hispanic youth compared with non‐Hispanic White youth. Among youth with underweight/healthy weight, predicted %BF and FMI were lower among non‐Hispanic Black males (−2.8%; −0.5) and females (−2.0%; −0.3), compared with non‐Hispanic White youth, and higher among Hispanic males (0.9%; 0.2) and females (2.0%; 0.5), while %BF but not FMI was higher among non‐Hispanic Asian males (1.3%) and females (1.4%). Among females with obesity, non‐Hispanic Asian females had lower %BF (−2.3%) and FMI (−1.7) than non‐Hispanic White females. Conclusions: Differences in %BF and FMI by race/Hispanic origin were not consistent by BMI category among US youth in 2011–2018. [ABSTRACT FROM AUTHOR]