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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
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Related Experiment Video

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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Dietary Patterns Among US Children: A Cluster Analysis.

Priya Fielding-Singh1, Jessie X Fan2

  • 1Sandberg Goldberg Bernthal Family Foundation, San Francisco, California.

Journal of the Academy of Nutrition and Dietetics
|December 11, 2023
PubMed
Summary

Children

Area of Science:

  • Pediatric Nutrition
  • Public Health
  • Nutritional Epidemiology

Background:

  • Most US children consume low-quality diets, necessitating targeted interventions.
  • Understanding children's dietary patterns and their links to sociodemographics is crucial for effective public health strategies.

Purpose of the Study:

  • To identify distinct dietary patterns among US children using cluster analysis.
  • To examine the associations between identified dietary patterns and sociodemographic characteristics.

Main Methods:

  • Utilized data from the National Health and Nutrition Examination Survey (2015-2018) for 3,044 US children (aged 2-11 years).
  • Employed cluster analysis on Healthy Eating Index (HEI)-2015 scores to define dietary patterns.
  • Conducted logistic regression analyses to assess sociodemographic associations with dietary pattern clusters.
Keywords:
ChildrenCluster analysisDiet qualityDietary patterns

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Main Results:

  • Identified five distinct dietary patterns among children.
  • Older, non-Hispanic Black, and overweight children showed higher likelihoods of healthier dietary patterns.
  • Mexican American children and those with college-educated reference persons had lower odds of less healthy dietary patterns.
  • Minority children were less likely to be in the 'Excess Sugar' cluster.

Conclusions:

  • Distinct dietary patterns exist among US children, varying significantly by sociodemographic factors.
  • Findings highlight the need for tailored, sociodemographically informed nutrition interventions for youth.