Probability of predicting dietary pattern adherence among primary schoolchildren based on socio-demographic data, anthropometric parameters, physical activity levels, and nutritional knowledge

Małgorzata Ewa Drywień, Ewa Czarniecka-Skubina, Jadwiga Hamułka, Jerzy Gębski, Olga Januszko, Joanna Sadowska, Krystyna Gutkowska · 2026

Read Probability of predicting dietary pattern adherence among primary schoolchildren based on socio-demographic data, anthropometric parameters, physical activity levels, and nutritional knowledge by Małgorzata Ewa Drywień, Ewa Czarniecka-Skubina, Jadwiga Hamułka, Jerzy Gębski, Olga Januszko, Joanna Sadowska, Krystyna Gutkowska (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13562532.txt.

Description

Małgorzata Drywień and co-authors model which children follow which eating patterns in a 2026 study. Habits formed at ages ten to twelve echo into adult health. Knowing what predicts a child's dietary pattern could target nutrition teaching where it bites.

Nearly eight thousand Polish schoolchildren reported their diets, activity, and food knowledge, and were measured for body composition. Three patterns emerged: Salty-Sweet, Plant-Dairy, and Protein. Overweight children and the very active avoided the Salty-Sweet pattern, while underweight children and those with weak food knowledge drifted toward it. Girls favored Plant-Dairy and shunned Protein. Across patterns, nutrition knowledge and activity stood out as the main changeable levers. The authors urge schools to teach food skills early.

Catalog record

CREATORMałgorzata Ewa Drywień, Ewa Czarniecka-Skubina, Jadwiga Hamułka, Jerzy Gębski, Olga Januszko, Joanna Sadowska, Krystyna Gutkowska
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE37 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13562532

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