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Increased Health and Wellbeing in Preschools (DAGIS) Study-Differences in Children's Energy Balance-Related Behaviors (EBRBs) and in Long-Term Stress by Parental Educational Level.

Elviira LehtoCarola RayHenna VepsäläinenLiisa KorkaloReetta LehtoRiikka KaukonenEira SuhonenMari NislinKaija NissinenEssi SkaffariLeena KoivusiltaNina SajaniemiMaijaliisa ErkkolaEva Roos
Published in: International journal of environmental research and public health (2018)
This paper describes the Increased Health and Wellbeing in Preschools (DAGIS) survey process and socioeconomic status (SES) differences in children's energy balance-related behaviors (EBRBs), meaning physical activity, sedentary and dietary behaviors, and long-term stress that serve as the basis for the intervention development. A cross-sectional survey was conducted during 2015⁻2016 in 66 Finnish preschools in eight municipalities involving 864 children (3⁻6 years old). Parents, preschool personnel, and principals assessed environmental factors at home and preschool with questionnaires. Measurement of children's EBRBs involved three-day food records, food frequency questionnaires (FFQ), seven-day accelerometer data, and seven-day sedentary behavior diaries. Children's long-term stress was measured by hair cortisol concentration. Parental educational level (PEL) served as an indicator of SES. Children with low PEL had more screen time, more frequent consumption of sugary beverages and lower consumption of vegetables, fruit, and berries (VFB) than those with high PEL. Children with middle PEL had a higher risk of consuming sugary everyday foods than children with high PEL. No PEL differences were found in children's physical activity, sedentary time, or long-term stress. The DAGIS intervention, aiming to diminish SES differences in preschool children's EBRBs, needs to have a special focus on screen time and consumption of sugary foods and beverages, and VFB.
Keyphrases
  • physical activity
  • young adults
  • randomized controlled trial
  • healthcare
  • high throughput
  • artificial intelligence
  • heat stress