Dataset Information

Weekday-Weekend Sedentary Behavior and Recreational Screen Time Patterns in Families with Preschoolers, Schoolchildren, and Adolescents: Cross-Sectional Three Cohort Study.

ABSTRACT: Excessive recreational screen time (RST) has been associated with negative health consequences already being apparent in preschoolers. Therefore, the aim of this study was to reveal parent-child sedentary behavior, and RST patterns and associations with respect to the gender, age category of children, and days of the week. Our cross-sectional survey included 1175 parent-child dyads with proxy-reported RST data collected during a regular school week during the spring and fall between 2013 and 2019. The parent-child RST (age and RST) relationship was quantified using Pearson's (rP) correlation coefficient. Weekends were characterized by longer RST for all family members (daughters/sons: +34/+33 min/day, mothers/fathers: +43/+14 min/day) and closer parent-child RST associations than on weekdays. The increasing age of children was positively associated with an increase in RST on weekdays (+6.4/+7.2 min per year of age of the daughter/son) and weekends (+5.8/+7.5 min per year of age of the daughter/son). Weekends provide a suitable target for implementation of programs aimed at reducing excessive RST involving not only children, but preferably parent-child dyads.

SUBMITTER: Sigmundova D

PROVIDER: S-EPMC8123206 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Weekday-Weekend Sedentary Behavior and Recreational Screen Time Patterns in Families with Preschoolers, Schoolchildren, and Adolescents: Cross-Sectional Three Cohort Study.

Sigmundová Dagmar D Sigmund Erik E

International journal of environmental research and public health 20210424 9

<h4>Background</h4>Excessive recreational screen time (RST) has been associated with negative health consequences already being apparent in preschoolers. Therefore, the aim of this study was to reveal parent-child sedentary behavior, and RST patterns and associations with respect to the gender, age category of children, and days of the week.<h4>Methods</h4>Our cross-sectional survey included 1175 parent-child dyads with proxy-reported RST data collected during a regular school week during the sp ...[more]

PMID: 33923313

Similar Datasets

Project description:BackgroundStudies on physical activity (PA) and sedentary behavior (SB) patterns contribute to planning specifically-population-targeted health interventions. However, most do not assess PA and SB based on types. The current study identified patterns of PA and SB based on types and their association with demographic factors (age, school shift) and weekly attendance in physical education classes (PEC) among schoolchildren.MethodsStudents from 11 Brazilian public schools with part-time schedules participated in this cross-sectional study in 2019 (n = 2,477; 9.1 ± 1.38 years, 53.2% girls). Participants self-reported PA, SB, and weekly attendance PEC in an online questionnaire. Data on age and school shift were gathered from the Municipal Education Department. PA and SB patterns were identified through a two-step cluster analysis, stratified by sex. The associations between PA and SB patterns and age (7-9 years old; 10-12 years old), school shift (morning; afternoon), and weekly attendance PEC (0/week; 1/week; ≥2/week) were analyzed by Logistic Regression.ResultsAmong girls, two distinct patterns emerged: "Active players" (n = 549, 44.1%) and "Sedentary/Household chores performers" (n = 697, 55.9%); and three patterns among boys: "Active play/Structured PA practitioners" (n = 322, 29.8%), "Sedentary on screen" (n = 369, 34.1%), and "Sedentary on academic tasks" (n = 390, 36.1%). Weekly attendance in PEC was associated with the composition of patterns for both girls and boys. Among boys, the 'Sedentary on screen' group was more likely to be in the 10-12 years age group.ConclusionsBoys and girls exhibited different PA and SB patterns. Active play and household chores contributed to the cluster solution among girls, whereas sports contributed to the cluster solution among boys. Attending PEC increased the odds of participants belonging to clusters with higher PA and lower SB. Identifying patterns of PA and SB by type, along with their associated factors, could inform intervention studies and help shape actions at the school level to increase PA and reduce SB among schoolchildren.Clinical trial numberNot applicable.

Project description:BACKGROUND:Despite physical activity (PA) being recognized as a critically important factor for good physical and mental health already early in life and throughout the life course, prospective data on activity behavior during the preschool years remains scarce. This study examined trajectories and determinants of levels and change in total PA (TPA), moderate-to-vigorous PA (MVPA) and sedentary behavior (SB) in a representative sample of Swiss preschoolers. METHODS:Data were drawn from the Swiss Preschoolers' Health Study (SPLASHY), a multi-site prospective cohort study including 555 children (53% boys) aged 2-to-6 years at baseline. A follow-up was conducted after 12 months. Activity behavior was measured using accelerometers. Information on 35 potential determinants from different socio-ecological domains was either directly measured or parent-reported. Trajectories of TPA, MVPA and SB over time were described for boys and girls. Linear mixed models were used to investigate factors that predicted levels and change in TPA, MVPA and SB. RESULTS:All children were sufficiently physically active according to published recommendations for preschoolers. Trajectory profiles revealed a marked increase in TPA and MVPA in boys and girls whereas SB remained fairly stable over time. Mixed modeling demonstrated that variables most relevant to determining PA levels were sex, age and activity temperament (all positively associated). Together with gross motor skills, birth weight, family structure (only for TPA) and season (only for MVPA), these factors accounted for 26 and 32% of total variance explained in TPA and MVPA, respectively. Activity temperament emerged as the strongest determinant of SB (negative association) and explained with sex, season and family structure 20% of total variance in SB. The presence of older siblings was the only factor that predicted change in PA over time. CONCLUSIONS:In this healthy physically active cohort of preschoolers, non-modifiable individual-level factors had the greatest influence on PA. The limited success of this and previous studies to identify modifiable determinants and the finding that most preschoolers were sufficiently active suggest that future attempts should provide insights into how preschoolers' activity levels can be maintained and fostered to prevent subsequent harmful declines attributable, amongst others, to educational transitions. Thus, good-quality longitudinal studies are needed. TRIAL REGISTRATION:Current Controlled Trials ISRCTN41045021 (date of registration: 21.03.14).

Dataset Information

Weekday-Weekend Sedentary Behavior and Recreational Screen Time Patterns in Families with Preschoolers, Schoolchildren, and Adolescents: Cross-Sectional Three Cohort Study.

Publications

Weekday-Weekend Sedentary Behavior and Recreational Screen Time Patterns in Families with Preschoolers, Schoolchildren, and Adolescents: Cross-Sectional Three Cohort Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets