Application of digital transformations of dietary microdata and factor analysis to study the nutritional patterns of breakfast and its significance in providing the nutritional value of the diet of adults

Jan 10, 2024Voprosy pitaniia

Using digital data and factor analysis to identify breakfast nutrition patterns and their role in adult diets

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Abstract

13.0% of adults skip breakfast, which is associated with a decrease in daily energy intake by an average of 200 kcal.

  • Skipping breakfast is more common among younger adults (19-30 years, 19.3%) and older adults (75 years and older, 16.1%).
  • Men and women skip breakfast at rates of 12.6% and 13.3%, respectively.
  • Higher family income is linked to increased breakfast skipping, while larger families with lower per capita income skip breakfast less frequently.
  • Areas with the lowest rates of breakfast skipping are in the North Caucasian and Southern districts, while the highest rates are in the Siberian and Far Eastern districts.
  • Adults who skip breakfast may have a higher prevalence of malnourishment (BMI <18.5 kg/m2) and normal weight (BMI 18.5-24.9 kg/m2).
  • Skipping breakfast leads to a reduction in nutrient intake, although it decreases the percentage of added sugar in total calorie intake.

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