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. 2018 Sep;21(13):2385-2393.
doi: 10.1017/S1368980018000976. Epub 2018 Apr 23.

Sleep patterns and sugar-sweetened beverage consumption among children from around the world

Affiliations

Sleep patterns and sugar-sweetened beverage consumption among children from around the world

Jean-Philippe Chaput et al. Public Health Nutr. 2018 Sep.

Abstract

Objective: To examine the relationships between objectively measured sleep patterns (sleep duration, sleep efficiency and bedtime) and sugar-sweetened beverage (SSB) consumption (regular soft drinks, energy drinks, sports drinks and fruit juice) among children from all inhabited continents of the world.

Design: Multinational, cross-sectional study.

Setting: The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).

Subjects: Children (n 5873) 9-11 years of age.

Results: Sleep duration was 12 min per night shorter in children who reported consuming regular soft drinks 'at least once a day' compared with those who reported consuming 'never' or 'less than once a week'. Children were more likely to sleep the recommended 9-11 h/night if they reported lower regular soft drink consumption or higher sports drinks consumption. Children who reported consuming energy drinks 'once a week or more' reported a 25-min earlier bedtime than those who reported never consuming energy drinks. Children who reported consuming sports drinks '2-4 d a week or more' also reported a 25-min earlier bedtime compared with those who reported never consuming sports drinks. The associations between sleep efficiency and SSB consumption were not significant. Similar associations between sleep patterns and SSB consumption were observed across all twelve study sites.

Conclusions: Shorter sleep duration was associated with higher intake of regular soft drinks, while earlier bedtimes were associated with lower intake of regular soft drinks and higher intake of energy drinks and sports drinks in this international study of children. Future work is needed to establish causality and to investigate underlying mechanisms.

Keywords: Cola; Energy drinks; Paediatric; Sleep; Soft drinks; Sports drinks; Sugary drinks.

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Figures

Fig. 1
Fig. 1
Sleep duration across levels of consumption of (a) regular cola or soft drinks (P for linear trend <0·01), (b) energy drinks (P for linear trend NS), (c) sports drinks (P for linear trend NS) and (d) fruit juice (P for linear trend NS) among children aged 9–11 years (n 5873) from twelve study sites around the world, International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE), September 2011–December 2013. Data are presented as mean values with standard deviations represented by vertical bars. Age, sex, highest level of parental education, meeting physical activity guidelines and BMI Z-score were included as covariates
Fig. 2
Fig. 2
Sleep efficiency across levels of consumption of (a) regular cola or soft drinks (P for linear trend NS), (b) energy drinks (P for linear trend NS), (c) sports drinks (P for linear trend NS) and (d) fruit juice (P for linear trend NS) among children aged 9–11 years (n 5873) from twelve study sites around the world, International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE), September 2011–December 2013. Data are presented as mean values with standard deviations represented by vertical bars. Age, sex, highest level of parental education, meeting physical activity guidelines and BMI Z-score were included as covariates
Fig. 3
Fig. 3
Bedtime across levels of consumption of (a) regular cola or soft drinks (P for linear trend <0·01), (b) energy drinks (P for linear trend <0·01), (c) sports drinks (P for linear trend <0·01) and (d) fruit juice (P for linear trend NS) among children aged 9–11 years (n 5873) from twelve study sites around the world, International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE), September 2011–December 2013. Data are presented as mean values with standard deviations represented by vertical bars. Age, sex, highest level of parental education, meeting physical activity guidelines and BMI Z-score were included as covariates

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