Electronic media use is becoming an increasingly important part of life for today's school-aged children. At the same time, concern of children's sleep habits has arisen, and cross-sectional studies have shown that electronic media use is associated with short sleep duration and sleep disturbances. The purpose of this longitudinal study was to investigate whether baseline electronic media use and media presence in a child's bedroom predicted sleep habits as well as changes in these sleep habits 18 months later among 10- to 11-year-old children in Finland.
The school-aged children (n=353, 51% girls) from 27 schools answered a questionnaire in 2006 and again 2008 in the Helsinki region of Finland. Electronic media use was measured by computer use and TV viewing. Media presence in a child's bedroom means the presence of a TV or a computer in a child's bedroom. Sleep habits were measured by bedtimes on school days and at the weekend days, sleep duration, discrepancy of bedtimes, and discrepancy of sleep duration between school days and weekends. Linear regression analyses were used to examine whether electronic media use and media presence predicted sleep habits with adjustments for grade, family structure, and baseline sleep. Gender differences were also examined.
The children used a computer for one hour per day and watched TV over one hour a day in 2006. They slept over nine hours on school days and over ten hours at the weekends in 2008. Computer use and television viewing predicted significantly shorter sleep duration (p
Studies investigating dietary resemblance between parents and their children have gained mixed results, and the resemblance seems to vary across nutrients, foods, dietary-assessment tools used, and parent-child pairs. We investigated parent-child dietary resemblance using a novel approach in applying statistical analysis, which allowed the comparison of 'whole-diet' between parents and their children. Additionally, we sought to establish whether sociodemographic factors or family meals were associated with dietary resemblance and whether parent-child dietary resemblance was dependent on the parent providing food consumption data on behalf of the child (father or mother, "the respondent").
The DAGIS study investigated health behaviors among Finnish preschoolers using a cross-sectional design. One parent filled in a food frequency questionnaire (FFQ) measuring the child's food consumption outside preschool hours during the last week. In addition, we instructed both parents or legal guardians, should the child have two, to fill in a similar FFQ regarding their own food use. Parents also reported their educational level, the number of children living in the same household, and the number of family meals. As a measure of dietary resemblance between a parent and a child, we computed Spearman correlations ranging mostly from no resemblance (0) to complete resemblance (+?1) between parent-child pairs over the 'whole-diet' (excluding preschool hours). These resemblance measures were further investigated using linear mixed models.
We obtained 665 father-child and 798 mother-child resemblance measures. Mother-child resemblance was on average 0.57 and stronger than father-child resemblance (0.50, p?
The objective of this study was to investigate cross-sectional and longitudinal associations between different family characteristics and body mass index (BMI) and waist-to-height ratio (WHtR) in children.
This was a prospective follow-up study conducted in Helsinki region with data collected in 2006 and 2008. The sample consisted of 550 children aged 9-11 at baseline. Children were measured and weighed by research staff, and they completed a questionnaire about their family characteristics.
More meals together with the family, more parenting practices at meals, less time home without adult company after school, and child's perception of receiving care from mother in 2006 predicted a lower BMI in 2008 and partly a smaller increase in BMI from 2006 to 2008. Fewer associations were found to WHtR. Physical activity with either parent was not associated with BMI or WHtR.
Several family characteristics predicted child BMI and WHtR 2 years later. These results contribute new knowledge about parental influence on child weight and weight gain and should be taken into account when planning interventions on the matter.