N Michels1, S De Henauw1,2, G Eiben3, C Hadjigeorgiou4, S Hense5, M Hunsberger3, K Konstabel6, D Molnár7, L A Moreno8, A Siani9, I De Bourdeaudhuij10, I Pigeot5,11. 1. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. 2. Department of Health Sciences, Vesalius, University College Ghent, Ghent, Belgium. 3. Section for Epidemiology and Social Medicine, University of Gothenburg, Gothenburg, Sweden. 4. Research and Education Institute of Child Health, Strovolos, Cyprus. 5. Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany. 6. National Institute for Health Development, Tallinn, Estonia. 7. Department of Paediatrics, University of Pécs, Pécs, Hungary. 8. GENUD (Growth, Exercise, Nutrition and Development) Research Group, School of Health Sciences, University of Zaragoza, Zaragoza, Spain. 9. Epidemiology & Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy. 10. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. 11. Institute of Statistics, Faculty of Mathematics and Computer Science, University Bremen, Bremen, Germany.
Abstract
BACKGROUND: According to recent findings, short sleep duration is associated with overweight in children. However, primary prevention efforts aimed at achieving adequate sleep among children are scarce. Therefore, the 'Identification and prevention of Dietary-induced and lifestyle-induced health EFfects In Children and infantS' (IDEFICS) study implemented a multilevel intervention that included sleep duration as a key behavioural target. The aim of this study is to evaluate sleep duration among children participating in the IDEFICS study. METHODS: The IDEFICS nocturnal sleep intervention was included as part of stress reduction educational messages aimed at parents and children. Sleep was assessed by a parental 24-h recall (only weekdays; n = 8,543) and by a diary (weekdays and weekends separately; n = 4,150). Mixed linear models tested the intervention effect on sleep duration change between baseline when children were 2-9.9 years of age (2007/2008) and follow-up (2009/2010). Logistic mix models were used to study the intervention effect on the presence of TV in the children's bedroom (one of the intervention messages; n = 8,668). Additionally, parents provided qualitative data regarding exposure to the intervention. RESULTS: About 51.1% of the parents in the intervention regions reported awareness of the sleep intervention. A small intervention effect was seen on weeknight sleep duration in that the decrease in sleep duration over 2 years was smaller in the intervention (15 min) as compared with control regions (19 min) (p = 0.044). There was no overall intervention effect on weekend sleep duration or on the presence of a TV in the bedroom. A small significant time effect between baseline and follow-up was found on bedroom TV presence depending on self-reported intervention exposure (3% increase in TV presence in exposed versus 6.6% increase in non-exposed). Children without a TV in the bedroom had longer nocturnal sleep duration. DISCUSSION: The sleep component of the intervention did not lead to clinically relevant changes in sleep duration. Future interventions aimed at young children's sleep duration could benefit from more specific and intense messaging than that found in the IDEFICS intervention. Future research should use objective measures of sleep duration as well as intermediate outcomes (sleep knowledge, sleep environment and sleep practices).
BACKGROUND: According to recent findings, short sleep duration is associated with overweight in children. However, primary prevention efforts aimed at achieving adequate sleep among children are scarce. Therefore, the 'Identification and prevention of Dietary-induced and lifestyle-induced health EFfects In Children and infantS' (IDEFICS) study implemented a multilevel intervention that included sleep duration as a key behavioural target. The aim of this study is to evaluate sleep duration among children participating in the IDEFICS study. METHODS: The IDEFICS nocturnal sleep intervention was included as part of stress reduction educational messages aimed at parents and children. Sleep was assessed by a parental 24-h recall (only weekdays; n = 8,543) and by a diary (weekdays and weekends separately; n = 4,150). Mixed linear models tested the intervention effect on sleep duration change between baseline when children were 2-9.9 years of age (2007/2008) and follow-up (2009/2010). Logistic mix models were used to study the intervention effect on the presence of TV in the children's bedroom (one of the intervention messages; n = 8,668). Additionally, parents provided qualitative data regarding exposure to the intervention. RESULTS: About 51.1% of the parents in the intervention regions reported awareness of the sleep intervention. A small intervention effect was seen on weeknight sleep duration in that the decrease in sleep duration over 2 years was smaller in the intervention (15 min) as compared with control regions (19 min) (p = 0.044). There was no overall intervention effect on weekend sleep duration or on the presence of a TV in the bedroom. A small significant time effect between baseline and follow-up was found on bedroom TV presence depending on self-reported intervention exposure (3% increase in TV presence in exposed versus 6.6% increase in non-exposed). Children without a TV in the bedroom had longer nocturnal sleep duration. DISCUSSION: The sleep component of the intervention did not lead to clinically relevant changes in sleep duration. Future interventions aimed at young children's sleep duration could benefit from more specific and intense messaging than that found in the IDEFICS intervention. Future research should use objective measures of sleep duration as well as intermediate outcomes (sleep knowledge, sleep environment and sleep practices).
Authors: Stacey L Simon; Amy R Goetz; Maxene Meier; John Brinton; Cynthia Zion; Lori J Stark Journal: Pediatr Obes Date: 2019-06-19 Impact factor: 4.000
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Authors: Barbara F Thumann; Nathalie Michels; Regina Felső; Monica Hunsberger; Jaakko Kaprio; Luis A Moreno; Alfonso Siani; Michael Tornaritis; Toomas Veidebaum; Stefaan De Henauw; Wolfgang Ahrens; Claudia Börnhorst Journal: PLoS One Date: 2020-06-30 Impact factor: 3.240
Authors: Kylie D Hesketh; Katherine L Downing; Barbara C Galland; Jan M Nicholson; Rachael Taylor; Liliana Orellana; Mohamed Abdelrazek; Harriet Koorts; Victoria Brown; Jess Haines; Karen J Campbell; Lisa M Barnett; Marie Löf; Marj Moodie; Valerie Carson; Jo Salmon Journal: BMJ Open Date: 2022-03-28 Impact factor: 2.692