Literature DB >> 33923313

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

Dagmar Sigmundová1, Erik Sigmund1.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: Weekends provide a suitable target for implementation of programs aimed at reducing excessive RST involving not only children, but preferably parent-child dyads.

Entities:  

Keywords:  daughter; father; mother; preschoolers; screen time; son; weekdays; weekends

Year:  2021        PMID: 33923313     DOI: 10.3390/ijerph18094532

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  36 in total

1.  How many days are enough for measuring weekly activity behaviours with the ActivPAL in adults?

Authors:  Nicolas Aguilar-Farias; Pía Martino-Fuentealba; Nicolas Salom-Diaz; Wendy J Brown
Journal:  J Sci Med Sport       Date:  2018-12-14       Impact factor: 4.319

2.  Television viewing habits associated with obesity risk factors: a survey of Melbourne schoolchildren.

Authors:  Jo Salmon; Karen J Campbell; David A Crawford
Journal:  Med J Aust       Date:  2006-01-16       Impact factor: 7.738

3.  Weekday-weekend variations in mother-/father-child physical activity and screen time relationship: A cross-sectional study in a random sample of Czech families with 5- to 12-year-old children.

Authors:  Dagmar Sigmundová; Petr Badura; Erik Sigmund; Jens Bucksch
Journal:  Eur J Sport Sci       Date:  2018-05-23       Impact factor: 4.050

4.  Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep.

Authors:  Mark S Tremblay; Valerie Carson; Jean-Philippe Chaput; Sarah Connor Gorber; Thy Dinh; Mary Duggan; Guy Faulkner; Casey E Gray; Reut Gruber; Katherine Janson; Ian Janssen; Peter T Katzmarzyk; Michelle E Kho; Amy E Latimer-Cheung; Claire LeBlanc; Anthony D Okely; Timothy Olds; Russell R Pate; Andrea Phillips; Veronica J Poitras; Sophie Rodenburg; Margaret Sampson; Travis J Saunders; James A Stone; Gareth Stratton; Shelly K Weiss; Lori Zehr
Journal:  Appl Physiol Nutr Metab       Date:  2016-06       Impact factor: 2.665

5.  The relationship between parents' and children's television viewing.

Authors:  Amy Bleakley; Amy B Jordan; Michael Hennessy
Journal:  Pediatrics       Date:  2013-07-15       Impact factor: 7.124

6.  The prediction of preschool children's weight from family environment factors: gender-linked differences.

Authors:  Line Tremblay; Christina M Rinaldi
Journal:  Eat Behav       Date:  2010-07-23

7.  Excessive Screen Time and Psychosocial Well-Being: The Mediating Role of Body Mass Index, Sleep Duration, and Parent-Child Interaction.

Authors:  Jin Zhao; Yunting Zhang; Fan Jiang; Patrick Ip; Frederick Ka Wing Ho; Yuning Zhang; Hong Huang
Journal:  J Pediatr       Date:  2018-08-09       Impact factor: 4.406

8.  Determinants of change in children's sedentary time.

Authors:  Andrew J Atkin; Kirsten Corder; Ulf Ekelund; Katrien Wijndaele; Simon J Griffin; Esther M F van Sluijs
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

9.  Objectively measured physical activity in four-year-old British children: a cross-sectional analysis of activity patterns segmented across the day.

Authors:  Kathryn R Hesketh; Alison M McMinn; Ulf Ekelund; Stephen J Sharp; Paul J Collings; Nicholas C Harvey; Keith M Godfrey; Hazel M Inskip; Cyrus Cooper; Esther M F van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2014-01-09       Impact factor: 6.457

10.  Health Related Behaviours in Normal Weight and Overweight Preschoolers of a Large Pan-European Sample: The ToyBox-Study.

Authors:  Greet Cardon; Ilse De Bourdeaudhuij; Violeta Iotova; Julie Latomme; Piotr Socha; Berthold Koletzko; Luis Moreno; Yannis Manios; Odysseas Androutsos; Marieke De Craemer
Journal:  PLoS One       Date:  2016-03-07       Impact factor: 3.240

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  2 in total

1.  Usage of eHealth/mHealth Services among Young Czech Adults and the Impact of COVID-19: An Explorative Survey.

Authors:  Michal Dolezel; Zdenek Smutny
Journal:  Int J Environ Res Public Health       Date:  2021-07-03       Impact factor: 3.390

2.  Weekday and Weekend Differences in Eating Habits, Physical Activity and Screen Time Behavior among a Sample of Primary School Children: The "Seven Days for My Health" Project.

Authors:  Francesco Esposito; Francesco Sanmarchi; Sofia Marini; Alice Masini; Susan Scrimaglia; Emanuele Adorno; Giorgia Soldà; Fabrizio Arrichiello; Filippo Ferretti; Marilisa Rangone; Francesca Celenza; Emilia Guberti; Domenico Tiso; Stefania Toselli; Antonello Lorenzini; Laura Dallolio; Rossella Sacchetti
Journal:  Int J Environ Res Public Health       Date:  2022-04-01       Impact factor: 3.390

  2 in total

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