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Processed food consumption is associated with diet quality, but not weight status, in a sample of low-income and ethnically diverse elementary school children.

ABSTRACT: Excess consumption of highly processed foods may be associated with lower diet quality and obesity prevalence, but few studies have examined these relationships in children from low-income households. Therefore, the objective of this study was to evaluate the relationship between food consumption by processing category, diet quality as measured by the Healthy Eating Index-2015 (HEI-2015) and body mass index (BMI) in a sample of low-income children. Data from a study assessing the impact of Summer Food Service participation on diet quality and weight status (N = 131) was used to conduct a cross-sectional analysis of children aged six to twelve years from low-income communities in the Northeastern U.S. Total HEI-2015 score and percentage of calories consumed by processing level were computed per day from three 24-h diet recalls. Multivariable linear regression was used to assess the relationship between percentage of calories from foods by processing category (unprocessed and minimally, basic, moderately and highly processed), HEI-2015 and BMI-z score. The final sample was 58% male and 33.8% obese. On average, children consumed 39.8 ± 17.2% of calories from highly processed foods. A 10% increase in calories consumed from highly processed foods was associated with a 2.0 point decrease in total HEI-2015 score [95% CI (-2.7, -1.2)], and a 10% increase in calories from minimally processed foods was associated with a 3.0 increase in HEI-2015 score [95% CI (2.1, 3.8)]. Relationships between processing level and BMI-z score were not significant. Among this sample of low-income children, greater intake of highly processed foods was associated with lower dietary quality, but not weight status. Future research should explore prospective associations between food consumption by processing category and weight status in children.

SUBMITTER: Bleiweiss-Sande R

PROVIDER: S-EPMC7528044 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background: Several studies have found that children in the United States gain weight at a faster rate in the summer than in the school year, but little is known about the prevalence of this problem, its effect on high-risk subgroups, or its determinants. This study compares school year and summer weight change in a low-income, ethnically diverse sample of school-age children in Massachusetts and explores differences by race/ethnicity, weight status, and exposure to school year physical activity (PA) programming. Diet and PA are examined as potential mediators of summer weight gain. Methods: Children participating in a school-based PA program evaluation (in which weight change was not a primary outcome) had their height and weight measured three times between October 2015 and September 2016 to capture a school year and summer interval. Diet and PA patterns were assessed mid-school year and mid-summer in a subsample of children. Mixed linear models were used to estimate the effect of season (school year vs. summer) on change in BMI and to examine the influence of race/ethnicity, weight status, and program (walk/run, classroom activity breaks, or control) on any observed effects. Structural equation models were used to explore diet and PA as mediators of seasonal weight change in a subsample of participants. Results: Of 769 participants, 53% were non-Caucasian, 40% were overweight or obese, and 58% were eligible for free or reduced-price school meals. BMI increased in both the school year and summer but increased more rapidly in the summer (0.046 kg/m2 more per month, p = 0.007). Of the three tested interactions, statistical significance was only observed between season and program (χ2 = 14.90, p < 0.001); on average, children exposed to a school year walk/run program did not gain weight more rapidly during the summer, whereas children in the control group and a classroom activity breaks program did. Poorer diet and PA patterns were observed in the summer, but neither diet nor PA was statistically significant mediators of BMI change. Conclusions: Children in this high-risk sample gained weight at a faster rate during the summer than during the school year, with no discernable demographic differences. However, this phenomenon was not observed in the subgroup exposed to a school year walk/run program. More research is needed to clarify the determinants of summer weight gain and understand how school year programming and its effects can be transferred to the summer months.

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Processed food consumption is associated with diet quality, but not weight status, in a sample of low-income and ethnically diverse elementary school children.

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