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BACKGROUND: No studies have assessed the relationship between diet quality, using the Healthy Eating Index (HEI), and adiposity, physical activity, and metabolic disease risk factors in a Hispanic college population. OBJECTIVE: To assess associations between diet quality and adiposity, metabolic health, and physical activity levels in a Hispanic college freshman population. DESIGN: This was a cross-sectional study. Measurements were obtained during a 4-hour in-person visit and included demographic information via questionnaire, height, weight, waist circumference, body mass index, body fat via BodPod, hepatic fat, visceral adipose tissue (VAT) and subcutaneous adipose tissue via magnetic resonance imaging, glucose, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), and lipids via blood draw from fasting subjects, physical activity (ie, step counts per day and time spent in different intensity levels) via 7-day accelerometry, and dietary intake via three to four 24-hour dietary recalls. Dietary quality was calculated using the HEI-2015. PARTICIPANTS/SETTING: Hispanic college freshmen (n=92), 18 to 19 years, 49% male, who were enrolled at University of Texas at Austin from 2014 to 2015. MAIN OUTCOME MEASURES: Main outcome measures were diet quality and adiposity, metabolic health, and physical activity levels. STATISTICAL ANALYSES PERFORMED: Linear regressions determined if dietary quality is related to adiposity, metabolic, and physical activity outcomes. A priori covariates included sex, body fat, and body mass index percentile (for metabolic models), and moderate and vigorous physical activity (MVPA, for adiposity and metabolic models). RESULTS: The average HEI-2015 total score was 54.9±13.4. A 1-point increase in HEI score was associated with 1.5 mL lower VAT (P=0.013); 8 minutes per day higher light activity (P=0.008), and 107 more step counts per day (P=0.002); and 0.10 µg/mL lower insulin (P=0.046) and 0.5 U lower HOMA-IR (P<0.001). CONCLUSION: Results suggest that small improvements in diet quality may be positively associated with a reduction in metabolic disease risk, during a critical time period in a young person's life.

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BACKGROUND: To investigate the relationship between eating frequency and specific adiposity markers in a potentially high-risk and understudied population of Hispanic college freshmen. METHODS: This study included 92 Hispanic college freshmen (18-19 y). The following cross-sectional data were collected: height, weight, waist circumference, body mass index (BMI), dietary intake, body composition, physical activity, hepatic fat, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). RESULTS: Infrequent eaters ate 44% less often (2.5 ± 0.2 vs. 4.5 ± 0.8, p ≤ 0.01) and consumed 27% more calories per EO (p ≤ 0.01), while consuming 21% less kcals per day (p ≤ 0.01) compared to frequent eaters. Infrequent eaters had 8% higher BMIs (24.8 ± 4.4 vs. 22.9 ± 3.2 kg/m2) (p = 0.02), 60% higher BMI z-scores (0.5 ± 1.0 vs. 0.2 ± 1.0, p = 0.03), 21% higher VAT (298.3 ± 153.8 vs. 236.8 ± 78.2 ml, p = 0.03), 26% higher SAT (1150.1 ± 765.4 vs. 855.6 ± 494.6 ml, p = 0.03), and 8% higher total body fat (27.6 ± 10.8 vs. 25.3 ± 8.8%, p = 0.04) compared to frequent eaters while showing no significant difference in physical activity. These findings seem to be driven by females more than males. CONCLUSIONS: These findings suggest that infrequent eating is related to increased adiposity in Hispanic college freshmen, despite a decreased daily energy intake and no significant differences in physical activity. Yet, more research is needed to understand the underlying mechanisms of these findings, as well as investigate any potential causal relationship between eating frequency and adiposity in Hispanic youth.

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INTRODUCTION: This pilot study developed techniques to perform Magnetic Resonance Imaging (MRI) of specific fat deposition in 18 children (age 18 months to 4 years). METHODS: The children engaged in a series of practice tests to become acclimated to the scanner noises, reduce claustrophobia, and rehearse holding still for a set time. The practice tests assessed if the child could remain still for two minutes while watching a video, first while lying on a blanket, second, on the blanket with headphones, and third, in the mock scanner. The children who passed the three practice tests were then scanned with a 3T Siemens Skyra magnet. Abdominal fat distribution (region of interest (ROI) from the top of the ileac crest to the bottom of the ribcage) volume was measured using 2-point DIXON technique. This region was chosen to give an indication of the body composition around the liver. RESULTS: Twelve out of eighteen participants successfully completed the actual MRI scan. Chi-squared test showed no significant difference between male and female pass-fail rates. The median age of completed scans was 36 months, whereas the median age for children unable to complete a scan was 28 months. The average total trunk fat was 240.9±85.2mL and the average total VAT was 37.7±25.9mLand liver fat was not quantifiable due to physiological motion. Several strategies (modeling, videos, and incentives) were identified to improve pediatric imaging in different age ranges. CONCLUSION: Using an age-specific and tailored protocol, we were able to successfully use MRI for fat imaging in a majority of young children. Development of such protocols enables researchers to better understand the etiology of fat deposition in young children, which can be used to aid in the prevention and treatment of adiposity.

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OBJECTIVE: To investigate the impact of eating frequency on dietary intake, physical activity (PA), metabolic, and adiposity measures in minority youth. METHODS: This analysis included 185 overweight (≥85th BMI percentile) Hispanic and African-American youth (8-18 years) with the following cross-sectional measures: height, weight, BMI, dietary intake, body composition, metabolic parameters, PA, visceral adipose tissue (VAT), and subcutaneous adipose tissue. Each eating occasion (EO) was defined as ≥50 calories and ≥15 minutes from any previous EO. Participants were dichotomized based on EOs per 24-h into meal skippers <3 EO (MS; n = 27) or normal/frequent eaters ≥3 EO (NFE; n = 158). ANCOVAs were used to assess dietary intakes, metabolic outcomes, adiposity, and PA between eating frequency groups. RESULTS: MS compared to NFE consumed 24% fewer calories per 24-h (P ≤ 0.01), 21% more calories per EO (P ≤ 0.01), ate 40% less often (P ≤ 0.01), had 18% higher triglycerides (P = 0.03), and 26% more VAT (P = 0.03), with no differences in PA. CONCLUSIONS: Although meal skipping was associated with decreased energy intake, it was linked to increased calories per EO and higher triglycerides and VAT, which are strong indicators of deleterious metabolic profiles. These findings elucidate that meal skipping may be associated with increased VAT and related metabolic diseases in high-risk minority youth.

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