Longitudinal Associations Between Sleep Habits, Screen Time and Overweight, Obesity in Preschool Children

Abstract

Introduction: Decreased sleep duration and increased screen time as early as preschool age may contribute to overweight and obesity. The effects of bedtime together with nocturnal sleep duration remain unclear with a paucity of data evaluating these associations longitudinally. We aim to evaluate the independent and joint effects of sleep duration, sleep bedtime, and screen time at 3 years of age on BMI status, particularly overweight and obesity by age 5 years.

Methods: Data from 2185 participants of the CHILD Cohort Study were analyzed longitudinally using generalized estimating equations (GEE). Models included changes in overweight/obesity status from 3 to 5 years of age as outcome, and nocturnal sleep duration, bedtime, and daily screen time at 3 years of age as explanatory variables. The joint effects of nocturnal sleep time and excess screen time, late bedtime on overweight/obesity were subsequently analyzed.

Results: The median nocturnal sleep time at 3 and 5 years of age was 11.0 hours/night [IQR 10.5, 11.5]. A total of 14.5% children went to bed after 9PM at 3 years and 7.2% at 5 years. Median screen time was 1.0 hr/day [IQR 1.0, 2.0] at both ages. Longitudinal analyses showed that sleeping less than 10.5 hours at age 3 years was associated with 46% greater odds of overweight/obesity by age 5 years (OR 1.46, 95% CI 1.07, 2.00). The risk was higher when coupled with late bedtime after 9pm (OR 1.60, 95% CI 1.12, 2.31). Children with both short nocturnal sleep duration and excess screen time (> 1hr/day) had twice the associated risk of overweight/obesity by age 5 years (OR 1.96, 95% CI 1.34, 2.88).

Conclusion: Nocturnal sleep duration and screen time are modifiable risk factors in young children, which may have important implications for obesity prevention as early as infancy.

Introduction

The prevalence of overweight and obesity in preschool children has grown to epidemic proportions in the past two decades, with over 40 million preschool children worldwide either overweight or obese.¹ Concurrently, a similar epidemic of chronic sleep deprivation has been reported.² Although the National Sleep Foundation recommends 10–13 hours of nocturnal sleep for preschool children,^3,4 a study of over 5000 North American children observed an average of 9.5hrs of nocturnal sleep between 3 and 5 years of age.⁵ Moreover, recommendations of other components of sleep such as bedtime remain unclear.

While numerous cross-sectional studies have shown clear associations between shorter sleep duration and increased risk of higher body mass index (BMI),^6–12 recent reviews highlight the lack of longitudinal studies with heterogeneous samples that have explored these associations.^9,13 Furthermore, there is insufficient evidence on how sleep habits such as bedtime and other modifiable factors such as screen time act together to influence childhood obesity. Increased screen time, for example, has been associated with both obesity⁷ and decrements in sleep duration.^9,12 Of relevance, preschool children in Canada spend an average of 2 hours per day using screen-based entertainment,¹⁴ and only 15% meet the current Canadian Sedentary Behaviour Guidelines for the Early Years of less than 1 hour of daily screen time.¹⁵

To date, three studies have analyzed the joint effect of bedtime and sleep duration on BMI^16–18 with a lack of consistent conclusions across the studies, which may be attributed to modelling limitations as well as inadequate consideration of important confounders such as screen time. Two further studies assessed how sleep duration and screen time affect weight in preschool children using a longitudinal approach.^10,11 However, neither of these studies evaluated the effect of a late bedtime, and were limited by restricting screen time to television viewing only.

The aim of this study is to prospectively evaluate the independent and joint effects of sleep duration, sleep bedtime, and screen time at 3 years of age on BMI status, particularly overweight and obesity by age 5 years.

Materials and Methods

This study uses data from the CHILD Cohort Study; a Canadian multidisciplinary, longitudinal, population-based birth cohort study.¹⁹ The CHILD Cohort Study recruited 3264 mothers and their infants (born >35 gestational weeks) from four sites across Canada (Vancouver, Edmonton, Manitoba, and Toronto) between 2008 and 2012 and has been previously described in detail.¹⁹ This study was approved by the Human Research Ethics Boards at McMaster University and the Universities of Manitoba, Alberta and British Columbia, and the Hospital for Sick Children (Toronto), and informed consent was obtained from a parent or legal guardian. All procedures and data collection were followed according to the Helsinki Declaration of the World Medical Association.

Outcome Variables

The primary outcome of this study was overweight/obesity status at 3 and 5 years of age. Trained research assistants performed weight and height measurements at clinic visits in each center when children were 3 and 5 years old. All children were required to remove shoes and outerwear for weight (Scaletronix scale) and height (standard stadiometer) measurements.

Age and sex adjusted BMI z-scores (BMI-z) were calculated following the World Health Organization (WHO) classification system for children.²⁰ Following WHO growth indicators for children under 5 years of age and those between 5 and 19 years of age, BMI-z were used to classify subjects into normal (≤2 standard deviation [SD] at 3 years, ≤1SD at 5 years) and overweight/obesity (>2SD at 3 years, >1SD at 5 years).²¹

Exposure Variables

Bedtime, nocturnal sleep duration (NSD), and screen time at 3 and 5 years of age were the main exposure variables in this study. Sleep information was obtained through parent reported questionnaires, where they were asked to write down the child’s usual bedtime, wake time, and usual naptime on weekdays per 24-hour period. Subjects were classified into sleep categories based on tertiles of nocturnal sleep duration to account for the wide distribution of sleep duration data. NSD was categorized into: less than or equal to 10.5 hours, more than 10.5–11.0 hours, and more than 11.0 hours, similar to classifications used in published studies.^10,22 Subjects were also classified according to their usual bedtime as early (≤9PM) and late (>9PM) bedtime.¹⁸ Total sleep duration (nocturnal sleep duration + naptime) was analyzed as a secondary exposure.

Screen time was reported by parents as the average screen time of all electronic devices (TV/DVDs, computer/tablet, cell phones, video games) in hours per day at age 3 and 5 years. Daily screen time was categorized as excess screen time when total screen time was more than 1hr/day (following guidelines for preschool children).¹⁵

Statistical Analysis

Demographic differences between the two visits (3 and 5 years old) were evaluated using paired t-test or paired Wilcoxon rank test on continuous variables, and McNemar’s test on binary variables. Longitudinal associations of bedtime, NSD, and screen time at 3 years of age on overweight/obesity status at 3 and 5 years of age were analyzed in separate models using generalized estimation equations (GEE) with a binomial distribution. Sex was additionally analyzed as a moderator by adding interaction terms to all models. A sensitivity analysis exploring longitudinal associations within 5-year NSD groups was completed (Online Supplement). Cross-sectional analyses at 3 and 5 years were additionally performed (Online Supplement).

To analyze if the associated risk of shorter nocturnal sleep time on overweight/obesity was attenuated by earlier bedtime or shorter screen time, children were grouped into profiles determined a priori, and their association with overweight/obesity was examined in GEE models. Bedtime profiles were classified as: early bedtime + longer NSD (>11hrs), late bedtime + longer NSD (>11hrs), early bedtime + shorter NSD (≤11hrs) and late bedtime + shorter NSD (≤11hrs); while screen time profiles included: screen time >1hr + longer NSD, screen time ≤1hr + longer NSD, screen time >1hr + shorter NSD and screen time ≤1hr + longer NSD. Inclusion of interaction terms was purposefully avoided due to high correlation between main exposure variables.

All analyses were adjusted for variables known to be associated with BMI and sleep in children^23,24: sex, birth weight (grams), maternal education level (post-secondary), postnatal maternal BMI, breastfeeding status at 6 months of age, maternal perceived stress score (PSS), daily caloric intake at 5 years of age, and organized physical activity at 5 years of age (≥2hrs/week).²⁵ Breastfeeding status was classified as exclusively breastfed, partial, and not breastfed, and was determined from standardized questionnaires completed by caregivers.²⁶ PSS scores of more than 13 points were classified as high maternal perceived stress.²⁷

Statistical analyses were performed using SAS software (Version 9.4).

Results

A total of 2185 participants with available sleep data at age 3 years and BMI data at age 3 and 5 years were included in this study (eFigure 1). Participants with missing sleep or BMI data excluded from this study (n=882) had no substantial differences in sex, race and maternal BMI compared to those included in analyses, but those excluded had higher maternal perceived stress score, slightly higher BMI-z at 3 years of age, and lower proportion of breastfeeding (eTable 1).

Table 1 Population Characteristics at 3 and 5 Years of Age

Figure 1 (A) Proportion of CHILD Cohort Study participants in waisted, normal weight, overweight and obese BMI-z categories at 3* and 5+ years of age. Nocturnal Sleep Duration at 3 years by (B) Bedtime, (C) Nap status, and (D) Screen time groups at the same age. P-values calculated by Wilcoxon rank-sum test (****p<0.001). *WHO Classifications at 3 years: <-1.96 wasted, ≥−1.96 to ≤1.96 normal, >1.96 to ≤ 3 overweight and >3 obese. +WHO Classifications at 5 years: <-1.96 wasted, ≥−1.96 to ≤1.04 normal, >1.04 to ≤1.96 overweight and >1.96 obese.

Among 2185 with BMI data at 3 years of age, 5.5% (n=121) were overweight and 1.1% (n=24) were obese; at 5 years of age, proportions of obesity and overweight increased to 13.4% (n=293) and 5.7% (n=125), respectively (Table 1, Figure 1A).

At 3 years of age, the proportion of children in each nocturnal sleep group was fairly balanced; 38.3% (n=833) of children had 10.5 hours of nocturnal sleep or less, 30.1% (n=654) slept between >10.5 and 11.0 hours, and 31.6% (n=687) slept more than 11.0 hours. Children who went to bed before 9PM at age 3 (85.5%, N=1930) had significantly longer nocturnal sleep duration (Figure 1B). Similarly, children who took naps at 3 years also had significantly longer nocturnal sleep compared to children who did not nap during the day (Figure 1C).

Total sleep time decreased significantly with age, from a median of 12hrs [IQR 11.5, 12.7] at 3 years of age to 11hrs [IQR 10.5, 11.5] at 5 years of age (Paired Wilcoxon p<0.001), as naptime decreased and was highly skewed by 5 years, with only 18% of children napping at that age (Table 1). At ages 3 and 5, the same median nocturnal sleep time of 11.0 hours/night [IQR 10.5, 11.5] was observed.

The proportion of children going to bed after 9PM was significantly lower at 5 years (7.2%) compared to 3 years (14.5%) (McNemar p<0.001). Daily screen time remained stable over time, with a median of 1.0hr/day [IQR 1.0, 2.0] at both ages; 41.6% of children at age 3 and 5 years reported more than 1 hour of daily screen time (Table 1). While nocturnal sleep duration did not differ by daily screen time (Figure 1D), the latter was highly correlated with bedtime. Children with bedtime >9PM had a median of 1hr more daily screen time than those going to bed before 9PM (Table 2).

Table 2 Median [IQR] Sleep Duration and Sleep Habit Proportions by 3 Years’ Nocturnal Sleep and Bedtime Groups

Association Between Sleep Habits, Screen Time and Overweight/Obesity

Regression models including only NSD showed a dose response trend between nocturnal sleep duration and risk of overweight/obesity (Figure 2A) after adjustment for covariates (sex, birth weight, breastfeeding status, maternal perceived stress, maternal education, daily caloric intake, physical activity at 5 years, and maternal BMI). Children who slept 10.5 hours or less at 3 years of age had a 46% higher associated risk of being overweight/obese by age 5 years compared to children that slept 11hrs or more (OR 1.46, 95% CI 1.07, 2.00), the risk decreased slightly for children that sleep between 10.5hrs and 11hrs (OR 1.35, 95% CI 0.96, 1.88) (Table 3). Total sleep time (NSD + naptime) of ≤11hrs increased the risk of overweight/obesity by 39% (OR 1.39, 95% CI 1.04,1.86) compared to children with >13hrs of total sleep time.

Table 3 Sleep Time and BMI Longitudinal Analysis.

Figure 2 (A) Proportions of overweight/obese at 5 years and GEE adjusted odds ratio for nocturnal sleep duration (NSD), bedtime, and screen time groups at 3 years. (B) Proportions of overweight/obese at 5 years and GEE adjusted odds ratio for nocturnal sleep duration (NSD) and bedtime profiles at 3 years. (C) Proportions of overweight/obese at 5 years and GEE adjusted odds ratio for nocturnal sleep duration (NSD) and screen time profiles at 3 years. *P≤0.05.

Screen time of more than 1hr per day at 3 years was associated with a 41% increased risk of being overweight/obese (OR 1.41, 95% CI 1.10, 1.81) after adjusting for covariates. Late bedtime (>9PM) was not associated with risk of overweight/obesity by 5 years (OR 1.16, 95% CI 0.82, 1.64).

Interaction terms showed that sex acted as an effect modifier of bedtime only (p=0.01). Further stratification by sex showed that bedtime was significantly associated to increased risk of overweight/obesity in girls only (Girls: OR 1.83, 95% CI 1.16, 2.9; Boys: OR 0.75, 95% CI 0.44, 1.27) (eTable 2).

Cross-sectionally, nocturnal sleep time and bedtime were not associated with risk of overweight/obesity at age 3 years (eTable 3). At 5 years, adjusted cross-sectional analysis showed an association of 97% increased risk of obesity/overweight for children sleeping less than 10.5 hours per night (OR 1.97, 95% CI 1.39, 2.78). Later bedtime at age 5 years was not significantly associated with overweight/obesity at the same age. Screen time was associated with overweight/obesity at both 3 and 5 years; however, the association at 5 years became not significant after adjustment for covariates (eTable 3).

Screen Time and Bedtime as Moderators of Nocturnal Sleep

Within the early bedtime group, 16.7% (n=108) and 19.5% (n=236) of children in the long (>11hrs) and short (≤11hrs) NSD groups at 3 years, respectively, were overweight/obese at 5 years (Chi-square p=0.08). Within the late bedtime group, the proportion of overweight/obese in the long NSD group was 16.3% (n=7), compared to 24.1% in the short NSD group (n=66) (Chi-square p=0.30).

Nocturnal sleep time of ≤11hrs (but not >11hrs) was associated with increased overweight/obesity for both early and late bedtime groups (Table 3, Figure 2B). Notably, children with a late bedtime were not associated with increased risk of overweight/obesity, as long as their nocturnal sleep was longer than 11hrs. (OR 1.11, 95% CI 0.52, 2.35).

The proportion of overweight and obese children at 5 years with >1hr daily screen time in infancy was significantly higher in the short NSD group (25.2%, n=154) than the long NSD group (18.9%, n=55) (Chi-square p=0.04). These differences were not significant within the 1≤hr screen time group (Overweight/obese proportions for: Short NSD 16.8%, n=147; Long NSD 15.2%, n=60; Chi-square p=0.35). Accordingly, children that concurrently had >1hr daily screen time and shorter nocturnal sleep (<11hrs) at 3 years had almost twice the associated risk of overweight and obesity (OR 1.96, 95% CI 1.34, 2.88) compared to children with shorter screen time and longer NSD. On the other hand, children that complied with either a moderate screen time, or longer nocturnal sleep did not have increased risk of overweight/obesity (Table 3, Figure 2C).

Discussion

In this longitudinal multicentered study with a diverse population from across Canada, we found a robust longitudinal association between short sleep duration (specifically less than 10.5 hours at night) and increased screen time at 3 years and subsequent overweight and obesity up to 5 years. This study highlights the importance of adequate nocturnal sleep time to reduce the risk of overweight and obesity in preschool children, noting that taking naps during the day may not fulfill the same role of sleep as longer nocturnal sleep duration in this age group. Interestingly, associations between bedtime and risk of overweight/obesity were limited to girls only. Our findings were significant after controlling for important confounding variables including sex, birth weight, breastfeeding, maternal BMI, maternal education, daily caloric intake, organized physical activity, and maternal perceived stress. Findings from cross-sectional analyses at age 5 years were consistent with those obtained following a longitudinal approach.

The exact mechanisms whereby why shorter nocturnal sleep time may contribute to obesity in preschool children have not been fully clarified. Shorter sleep duration may be linked to daytime fatigue resulting in less physical activity and increased sedentary activity which could lead to obesity. Additionally, children with shorter sleep duration and later bedtimes may demonstrate obesogenic eating behaviours such as emotional eating, eating in response to external cues and restrained eating,²⁸ while having more opportunities to eat as they are awake longer.²⁹ In our study, we found that children with late bedtime were not associated to increased risk of overweight/obesity, as long as their sleep was longer than 11 hours. While a late bedtime at 3 years of age has been negatively correlated with nocturnal sleep duration in this and other studies,³⁰ the effects of late bedtime associated with a long sleep duration on sleep quality and circadian rhythm changes are unclear. In one study with children aged 4.5–5 years of age evaluating melatonin secretion (known to regulate circadian rhythm), children with delayed bedtimes had more delayed melatonin onset times,³¹ whereby delay of melatonin release may influence a delay in the wake up time and sleep quality.^32,33

The biological mechanisms underpinning weight gain following chronic sleep deprivation are an area of important research. Shorter sleep duration may be linked to disruption of the circadian rhythm³⁴ as well as hypothalamic mechanisms that regulate body weight and metabolism, including lower leptin and higher ghrelin levels, which can result in greater hunger, appetite and increased preference and intake of high-calorie food.^35,36 However, in one fMRI study of young healthy adults, neural changes in the frontal and insular cortex were associated with increased desire for weight-gain promoting high-calorie foods.³⁷ A separate study showed the likelihood of overeating following sleep deprivation was behavioural and not related to hormonal mechanisms.³⁸ Whether these mechanisms hold in younger population is unknown, and data on eating habits or the timing of sugar intake were not available in our population to verify these assumptions.

Findings from our study are consistent with a longitudinal study by Wang et al, in 16,028 preschool children in China, which showed that sleeping <10 hours at 3 years of age was associated with a 48% increase in overweight (OR 1.48, 95% CI 1.26–1.74) and a 77% increase in obesity (OR 1.77, 95% CI 1.30, 2.40) at 5 years of age after adjusting for confounders.²³ However, although that study adjusted for multiple confounders, screen time data were not available. This consideration is important because screen time has been reported to be associated with adiposity. In one study, Padmapriya et al reported screen time in 956 preschool children and observed that greater screen time at 2–3 years of age was significantly associated with BMI at 3–5 years of age³⁹ and specifically, every hour of daily screen time (eg, TV, handheld devices) was associated with a BMI increase of 0.12 kg/m².³⁹ Interestingly, this association was only significant in boys, which contrasts with our study where significance was seen in the entire population.

In contrast to our study, the aforementioned studies did not analyze the modified effect of nocturnal sleep duration on BMI by both late bedtime and longer screen time, but rather examined their effects individually. Here, we observed that both early and late bedtimers with shorter sleep duration were associated to higher risk of overweight and obesity. While early bedtime increased such risk by 29%, having a late bedtime further magnified the associated risk to 60% (compared to children with longer nocturnal sleep and early bedtime). Further research is needed to evaluate whether adverse consequences associated with a late bedtime can be compensated or mitigated for with a long sleep duration.

Similarly, the associated risk of shorter nocturnal sleep duration on overweight and obesity was almost doubled when paired with prolonged screen time (OR 1.96, 95% CI 1.34, 2.88) but was not significant when longer nocturnal sleep was undertaken.

Associations between shorter sleep duration, excessive screen time and increased risk of higher BMI have been found in observational studies^8,9,24; however most studies reporting these associations on preschool children are cross-sectional. Only two studies assess how sleep duration and screen time affect weight in preschool children using a longitudinal approach.^10,11 The first study of 900 children in the United Kingdom found that nocturnal sleep of <10.5 hours and screen time of >8 hours of television/week at 3 years of age were associated with obesity at 7 years.¹⁰ The second study of 1589 preschool children from ‘fragile families’ (unmarried parents and their children) in the United States of America, found that parent-reported shorter sleep duration and watching more than 2 hours of television per day at 3 years of age were associated with obesity at 5 years of age.¹¹ Furthermore, increased television viewing has been found to partially mediate the relationship between short sleep duration and higher BMI in children.⁴⁰ Interestingly, even though our study showed similar amounts of daily screen time irrespective of nocturnal sleep, only children with >1hr daily screen time in addition to <11hrs of nocturnal sleep had double the associated risk of overweight and obesity, noting that preschool children with prolonged access to electronic devices may limit their risk of overweight and obesity if their nocturnal sleep is greater than 11hrs.

In this study, it was interesting to see that sex acted as an effect modifier only on bedtime, and not nocturnal sleep or screen time. Furthermore, a sensitivity analysis stratified by sex showed that a bedtime after 9PM increased the risk of overweight and obesity by 83% in girls only. It has been suggested that a delayed sleep onset provides more opportunities to be exposed to low nutritional advertisements, which females may be more influenced by, resulting in greater consumption of high calorie foods and higher BMI.^41–43 A study by Plancoulaine et al also reported sex-dependent differences among a French cohort of children aged 3 years, where shorter sleep duration was associated with high BMI z-scores and higher screen time among males, and lower intake of healthier foods – independent of BMI – among females.⁴⁴ Similarly, among children aged 4–17 years, Golshevsky et al found that higher screen time was associated with higher BMI in females, while shorter sleep time was associated with higher BMI in males.⁴⁵ Bedtime was not evaluated in these previous studies. Overall, the role of sex in sleep habits at preschool age remains unclear^46,47 and further research is needed to examine this relationship.

The limitations of this study require consideration. Firstly, sleep duration and habits were assessed subjectively by parent report measures, which may over or underestimate actual sleep times. Nevertheless, many studies have shown high agreement between parental reports and objective sleep measures such as actigraphy duration.⁴⁸ Secondly, although this study controlled for various confounders, some variables were not taken into account, such as home environment characteristics, parental sleep times, sleeping arrangements including frequency of co-sleeping, dietary intake, which may be associated with sleep habits, screen time and consequently BMI.^49,50

Conclusion

This longitudinal study highlights that short nocturnal sleep duration (<11 hours) and excessive screen time (>1 hour daily) are associated with overweight and obesity in preschool children, and that these associations are independent of bedtime. Since sleep habits are modifiable risk factors, further education, awareness, and targeted interventions such as improved sleep hygiene are essential to mitigate the long-term impact of reduced sleep and delayed bedtimes in preschool children.

Abbreviations

NSD, nocturnal sleep duration; BMI, body mass index; WHO, World Health Organization.

Acknowledgment

We thank the CHILD Cohort Study participant families for their dedication and commitment to advancing health research and the whole CHILD Cohort Study team, which includes interviewers, nurses, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, and receptionists.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work. Piushkumar J Mandhane and Indra Narang are joint co-senior authors.

Funding

This work was supported by AllerGen 12CHILD – Canadian Healthy Infant Longitudinal Development (CHILD) Study.

Disclosure

The authors report no conflicts of interest in this work.

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