Development of Sleep-Wake Schedules During Childhood and Relationship With Sleep Duration

Touchette, Évelyne; Mongrain, Valérie; Petit, Dominique; Tremblay, Richard E.; Montplaisir, Jacques

doi:10.1001/archpedi.162.4.343

Cited by 63 publications

(43 citation statements)

References 38 publications

(46 reference statements)

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“…Although our findings are in concordance with some but not all studies, [18–21], [2;3;11;22;23], we did not find a relationship between adiposity and sleep (nighttime or daytime) duration, nor did we observe a sex difference in sleep and adiposity parameters. The disconcordance may be the result of using a relatively lean sample (average BMI percentile), while others are inclusive of a wider range of body habitus.…”

Section: Discussionsupporting

confidence: 90%

Shorter Sleep may be a Risk Factor for Impaired Bone Mass Accrual in Childhood

Casazza

Hanks

Fernández

2011

Journal of Clinical Densitometry

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The purpose of the study was to investigate whether sleep duration during early childhood was associated with fat mass and bone mineral content (BMC). BMC and fat mass were measured by dual-energy x-ray absorptiometry (DXA) in children (n=336) ages 4–12 years. Sleep was quantified according to parental report of hours slept at night and napping. The relationship between sleep pattern and body composition was tested using ANOVA including confounding factors. Based on the sample distribution, children were grouped into tertiles of sleep duration. BMC was greater in children with longer sleep duration (p=0.02). Age was inversely associated with sleep duration; therefore the sample was analyzed by age category using seven years old as the cut-point. The relationship remained significant only among younger children. Napping was positively associated with BMC (p=0.001). Sleep duration was not associated with fat parameters. Longer sleep duration, may allow for optimal energy resource partitioning in which bone is favored. Sleep duration of less than 8 hours may impair bone mass accrual, particularly during periods of rapid growth.

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Section: Discussionsupporting

confidence: 90%

Shorter Sleep may be a Risk Factor for Impaired Bone Mass Accrual in Childhood

Casazza

Hanks

Fernández

2011

Journal of Clinical Densitometry

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“…Here we show that similar sleep/wake patterns have already existed in preschool children although to a lesser degree compared with older children and adolescents as follows: 12 min later for sleep onset, 30 min later for wake-up time and 15 min longer for sleep period on free days than on scheduled days. These findings are most consistent with those for preschool children studied by Harada et al (2011), Touchette et al (2008 and Werner et al (2009). As stated by Touchette et al, this phase shift may be explained by less strict parental control on sleep/wake times on free days and by the possibility that the endogenous circadian period in children is already longer than 24 h. Furthermore, the present study suggests that shorter sleep period accompanied by earlier wake-up for boys compared with girls on free days alone may be interpreted as a psychosocial rather than a biological difference (e.g.…”

Section: Discussionsupporting

confidence: 88%

Sleep/wake patterns and circadian typology in preschool children based on standardized parental self-reports

Doi¹,

Ishihara

Uchiyama

2013

Chronobiology International

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We studied the sleep/wake patterns and circadian typology of Japanese preschool children living in the Tokyo metropolitan area (193 boys and 190 girls, 4-6 years of age) from June to July 2012 based on a standardized parental self-reporting questionnaire. Our major findings are as follows: (1) sleep/wake timing was delayed, and the duration of nocturnal sleep (sleep period as well as time in bed) increased from that on scheduled days (weekdays) to that on free days (weekends) for all ages. (2) The duration of daily sleep (24 h), including daytime nap, was longer for 4-year-old children compared with that in 5- to 6-year-old children, but not significantly different between scheduled and free days within each age group. (3) The distribution of chronotypes was 36.3% for morning (M)-type, 48.8% for neither (N)-type and 11.2% for evening (E)-type, and this distribution was independent of sex or age. (4) Sleep/wake timing delays were observed from M-type and N-type to E-type during scheduled and free days. (5) The duration of nocturnal sleep decreased but increased for 24-h sleep time from M-type and N-type to E-type on scheduled days. (6) Sleep durations did not differ among chronotypes on free days. (7) Chronotypes were associated with parents' diurnal preferences, mealtimes and attendance at kindergartens or childcare centers but not with sex, age, season of birth, exposure to multimedia or exposure to morning sunlight in their bedrooms. When these results were compared with those for older children and adolescents, similar sleep/wake patterns and circadian typology were observed, although to a lesser degree, in children as young as 4-6 years of age. Napping may compensate, in part, for an accumulated weekday sleep deficit. The distribution of chronotypes was associated with differences in sleep/wake timing and duration and was influenced by the parents' diurnal preferences and lifestyles. Further research on preschool children is required to investigate whether circadian typology affects their behavioral, emotional and cognitive development.

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“…In addition, sleep pattern was defined using the median value of the total week average sleep-wake schedule and classified as early bed/early rise (EE) (before 22:04 and before 07:38), early bed/late rise (EL) (before 22:04 and after 07:38), late bed/early rise (LE) (after 22:04 and before 07:38), or late bed/late rise (LL) (after 22:04 and after 07:38) [25,26]. …”

Section: Methodsmentioning

confidence: 99%

Weight Status Is Related with Gender and Sleep Duration but Not with Dietary Habits and Physical Activity in Primary School Italian Children

et al. 2017

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The prevalence of overweight and obesity in children has risen greatly worldwide. Diet and poor physical activity are the two risk factors usually examined, but epidemiological evidence exists suggesting a link between sleep duration and overweight/obesity in children. The aim of this study was to describe the relationship among body mass index (BMI), diet quality, physical activity level, and sleep duration in 690 children attending the 5th grade in primary schools (9–11 years old) in the city of Parma (Italy) involved in the Giocampus educational program. This was achieved through (i) measuring anthropometric data to compute body mass index; (ii) administering a food questionnaire to evaluate adherence to the Mediterranean Diet (KIDMED score); and (iii) administering a lifestyle questionnaire to classify children physical activity level (PAL), sleep duration, and school achievement. A highly significant negative association was found between BMI and sleep hours. Moreover, there was a significant positive association between PAL and KIDMED scores. No evidence was found of association between BMI and PAL, nor between BMI and KIDMED score. Data from this study established that BMI is correlated to gender and sleep duration, defining sleep habits as one of the factors linked to overweight and obesity.

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Development of Sleep-Wake Schedules During Childhood and Relationship With Sleep Duration

Cited by 63 publications

References 38 publications

Shorter Sleep may be a Risk Factor for Impaired Bone Mass Accrual in Childhood

Shorter Sleep may be a Risk Factor for Impaired Bone Mass Accrual in Childhood

Sleep/wake patterns and circadian typology in preschool children based on standardized parental self-reports

Weight Status Is Related with Gender and Sleep Duration but Not with Dietary Habits and Physical Activity in Primary School Italian Children

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