Previous studies suggest that preschoolers from low socioeconomic backgrounds engage in more screen time. Still, the factors in the social and physical home environment driving these differences in preschool children’s screen time are poorly understood. This study examines potential home environment mediators in the associations between parental educational level and preschoolers’ screen time. A total of 864 children aged 3–6 years and their parents participated in a cross-sectional DAGIS study in 2015–2016. Parents recorded their children’s screen time in a diary (N = 823). For the analyses, the daily average screen time at home was calculated. Parental questionnaires (N = 808) assessed educational level and eight social and physical environment factors in the home (i.e., descriptive norm for children’s screen time, parental screen use in front of children, parental importance for limiting children’s screen time, parental attitude toward societal pressures for children’s screen time, access to screens at home, parental self-efficacy for limiting children’s screen time, satisfaction of children’s screen time, and rules for limiting children’s screen time). Parental education was grouped into low, middle, and high education. The associations were tested by conducting mediation analyses adjusted by season and children’s sex and age. The significant mediators in the single-mediator models were included in the final multiple-mediator models. Of the potential eight mediators, the following four had a significant indirect association: descriptive norm for children’s screen time, parental screen use in front of children, parental importance for limiting children’s screen time, and parental attitude toward societal pressures for children’s screen time. Parents with high education had lower descriptive norm and used fewer screens in front of children compared to parents with middle or low education, and in turn, these factors were associated with less screen time among children from parents with a higher education level. Parents with high education placed greater importance on limiting children’s screen time and felt less societal pressures about children’s screen time compared to parents with low education, and in turn, these factors were associated with less screen time among children from parents with a higher education level. Our study recognized multiple modifiable mediators in the associations between parental education and preschool children’s screen time. When aiming to diminish socioeconomic status differences in preschool children’s screen time, the focus should be on parental role models, attitudes, and norm related to children’s screen time.

Effective interventions that target socioeconomic status (SES) differences to avoid the potential widening of inequalities in health are needed. Children at preschool age is a valuable intervention target since sedentary behaviors, physical activity (PA), dietary behaviors, and sleep habits, jointly called the energy balance-related behaviors (EBRBs), are established in early childhood and tend to persist later in life. The interventions are most effective, when they focus on evidence-based factors. One potential factor associated with EBRBs and SES is children’s stress regulation, which receives special attention in this study. Based on the socioecological approach, the combinations of multiple levels (e.g. individual, environmental, societal) of analysis and diverse methodologies (e.g. surveys, observations, biological measurements) are used to assess the healthfulness of environments (e.g. social, physical, learning, policy) in preschool and family settings. The intervention aimed to diminish SES differences in EBRBs is then conducted in the preschool setting. The DAGIS study is divided into two phases. The first phase comprises focus group interviews and a cross-sectional survey. Parents and preschool personnel in low SES neighborhoods participated in interviews about children’s sedentary behaviors, dietary behaviors, and PA in 2014. In the cross-sectional survey beginning in autumn 2015, preschools will be recruited from a random sample of preschools in 3–5 municipalities in Southern Finland. A total of 800 children will wear an accelerometer for seven days. Children’s hair and saliva samples will be taken. Parents and preschool personnel will complete questionnaires on EBRBs, social and physical environments and SES factors. The quality of preschool environment is also observed. In the second phase, an intervention targeting to narrowing SES differences in EBRBs is conducted. The effects of the intervention will be evaluated in randomised controlled trial. The implementation of the intervention will also be evaluated. If effective, this unique preschool-based study will be able to narrow the SES differences in preschool children’s EBRBs. This study is anticipated to identify the most important modifiable factors in preschool and family environmental settings associated with children’s EBRBs, especially in children from low SES backgrounds. ISRCTN57165350 (January, 8th, 2015).

Aims: This cross-sectional study had two aims: firstly, to study the associations of parental influence in the form of encouragement, father and mother modelling and involvement on children’s physical activity (PA), and secondly, to study the mediation effect of encouragement, father and mother modelling and involvement on children’s PA through children’s perceived competence and attraction to PA. Methods: A total of 1278 children (response rate 79%), aged 10–11 years, participated in the study in the autumn of 2006. Of these children, 883 children completed all the data in a questionnaire assessing their self-reported PA, perceived competence, attraction to PA, and perceived parental influence. The associations were examined by multiple mediator analyses with bootstrapping method. All the models were adjusted with gender and grade. Results: The analyses pointed out that father modelling had a direct effect on children’s physical activity, whereas encouragement, mother modelling, and involvement had an indirect effect through perceived competence and attraction to physical activity on children’s physical activity. The strongest indirect association was formed from encouragement through attraction to physical activity to children’s physical activity. Conclusions: The results show that parents influence on children’s physical activity in a variety of ways. Parents influence their children’s physical activity in direct and indirect manners through their encouragement, involvement and modelling. Furthermore, mother and father influence their children’s physical activity in different ways. This versatility should be taken into consideration in future interventions.

Objectives This study examined the associations of parental socioeconomic status (SES) with preschoolers’ objectively measured sedentary time (SED) over the course of a week and with parent-reported children’s screen and reading times at home as indicators of sedentary behaviours (SB). Design Cross-sectional. Setting In years 2015 and 2016 in Finland. Participants 864 children, aged 3–6 years, with their parents. Outcome measures Children’s accelerometer data were transformed into average SED minutes per hour in different contexts (preschool, home during preschool days, weekend and total). Parent-reported children’s screen and reading times were expressed as average daily minutes. The SES indicators (maternal and paternal education and relative household income) were grouped into three categories. Linear or logistic regression analyses were used, with municipality, season, and children’s gender and age as covariates. CIs were adjusted for clustering at the preschool group level. Results Children with low maternal (β=17.21, 95% CI: 8.71 to 25.71) and paternal (β=10.54, 95% CI: 0.77 to 20.30) education had more overall screen time at home than their more advantaged counterparts. SES differences in overall screen time were mostly explained by TV viewing. Children with low as opposed to high maternal education (β=−2.66, 95% CI: −4.95 to –0.38) had less reading time at home. Children whose fathers were on the middle (β=−1.15, 95% CI: −2.01 to –0.29) educational level had less weekend SED than those with high paternal education. Otherwise, parental SES was not related to objectively measured SED. Conclusions The results of this study highlight the fact that the associations between parental SES and preschoolers’ SB are dependent on the indicators of SES and SBs, and vary between different contexts. Generally, parental SES was not associated with SED, whereas some SES differences existed in screen time and reading time at home. Interventions aiming to diminish SES differences in children’s SB should focus on home hours. Trial registration number ISRCTN57165350.