Sleep differences in one‐year‐old children were related to obesity risks based on their parents’ weight according to baseline longitudinal study data

Ekstedt, Mirjam; Darkeh, Mojgan Haji Seyed Ebrahim; Xiu, Lijuan; Forssén, Michaela; Johansson, Elin; Ek, Anna; Svensson, Viktoria; Ekbom, Karl; Marcus, Claude

doi:10.1111/apa.13657

Cited by 7 publications

(7 citation statements)

References 31 publications

(42 reference statements)

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“…Family and parental factors, such as low socio‐economic status, emotion disorders and high involvement during child sleep, have been associated with poor sleep and more sleep problems in children . The association between child and parental sleep quality has also been observed previously . Our finding added that family high obesity risk, based on parental weight, was probably also related to child poor sleep characteristics.…”

Section: Discussionsupporting

confidence: 83%

“…21,22 The association between child and parental sleep quality has also been observed previously. 23,24 Our finding added that family high obesity risk, based on parental weight, was probably also related to child poor sleep characteristics. Given the association between poor sleep and unhealthy weight development, 3 the prevalent unfavourable sleep characteristics in children with obese parents may also contribute to the transfer of adiposity through generations in these high-risk families.…”

Section: Discussionmentioning

confidence: 67%

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Development of sleep patterns in children with obese and normal‐weight parents

Xiu

Hagströmer

Bergqvist-Norén

et al. 2018

J Paediatrics Child Health

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AimTo study the sleep development and sleep characteristics in children at different obesity risks, based on parental weight, and also to explore their weekday–weekend sleep variations and associated family factors.MethodsA total of 145 children participating in a longitudinal obesity prevention project were included, of which 37 had normal‐weight parents (low obesity risk), and 108 had overweight/obese parents (high obesity risk). Sleep diaries at ages 1 and 2 years were used to study sleep development in children at different obesity risks. Objectively assessed sleep using an accelerometer at 2 years of age was used to analyse weekday–weekend sleep variations.ResultsThere was no difference in sleep development from age 1 to age 2 among children at different obesity risks, but more children in the high‐risk group had prolonged sleep onset latency and low sleep efficiency. At 2 years of age, children in the high‐risk group had more weekday–weekend variation in sleep offset (mean difference 18 min, 95% confidence interval (CI) 4–33 min), midpoint of sleep (mean difference 14 min, 95% CI 3–25 min) and nap onset (mean difference 42 min, 95% CI 10–74 min) than children in the low‐risk group, after adjusting for other family factors. However, no difference could be detected between groups in weekday–weekend variation in sleep duration.ConclusionsUnfavourable sleep characteristics, as well as more variation in sleep schedules, have been observed in children at high obesity risk. While the differences were relatively small, they may reflect the unfavourable sleep hygiene in families at high obesity risk.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 67%

Development of sleep patterns in children with obese and normal‐weight parents

Xiu

Hagströmer

Bergqvist-Norén

et al. 2018

J Paediatrics Child Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…This finding is not consistent with our previous observations among children age 1 to 2 years, in which long sleep latency, low sleep efficiency, as well as variable sleep schedules between weekdays and weekends were more common in children at high obesity risk. 15,24 We hypothesized that children in families with obese parents were more exposed to unfavorable sleep hygiene because it has been reported that adults with obesity tend to have poorer and more irregular sleep than normal-weight individuals. 25,26 However, we could not confirm this hypothesis in the follow-up data using objective measures.…”

Section: Discussionmentioning

confidence: 99%

Sleep and Adiposity in Children From 2 to 6 Years of Age

Xiu¹,

Ekstedt

Hagströmer

et al. 2020

Pediatrics

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OBJECTIVES: To compare sleep in young children at different obesity risks, which were based on parental weight, as well as to explore the longitudinal associations of sleep characteristics with adiposity. METHODS:In total, 107 children from an obesity prevention project were included, of which 43 had normal-weight parents (low obesity risk) and 64 had overweight and/or obese parents (high obesity risk). Sleep was measured yearly from ages 2 to 6 years by using actigraphy. Five sleep characteristics, that of late sleep, long sleep latency, short sleep duration, low sleep efficiency, and irregular sleep onset, were defined and scored across ages, with a higher score indicating more frequent exposure. The outcome variables, also measured yearly, were BMI z score and waist circumference.RESULTS: There was no difference in sleep patterns among children at different risks. Higher short sleep duration score was associated with a greater increase in BMI z score (0.12; 95% confidence interval [CI] 0.01 to 0.25) across ages. Independently of sleep duration, higher late sleep score was associated with greater increases in BMI z score (0.16; 95% CI 0.05 to 0.27) and waist circumference (0.60 cm; 95% CI 0.23 to 0.98). Moreover, compared with children at low risk and without habitual late sleep, children at high risk and with habitual late sleep had greater increases in BMI z score (0.93; 95% CI 0.40 to 1.45) and waist circumference (3.45 cm; 95% CI 1.78 to 5.12).CONCLUSIONS: More frequent exposures to late sleep were associated with greater increases in adiposity measures from ages 2 to 6 years, particularly in children with obese parents.

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“…Their research also demonstrated that increased sleepiness and decreased performance occurred despite SWS preservation in terms of absolute amounts or increase as a percentage of total sleep 49 . Ekstedt et al further linked microarousals with elevated levels of cortisol, lipids, heart rate, and blood pressure, as well as self-reported work-related stress, showing possible metabolic and cardiovascular contributions50,51 . Roman et al found chronic sleep restriction may lead to changes in neurotransmitter receptor systems and neuroendocrine reactivity in a manner similar to that seen in depression, that's means chronic stress and sleep loss may partly via different pathways, change the brain into a direction as it is seen in mood disorders52 .…”

mentioning

confidence: 99%

Sleep Disturbances are Consequences or Mediators between Socioeconomic Status and Health: A Scoping Review

Sosso¹,

Papadopoulos²,

Surani³

et al. 2019

Preprint

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The variations in socioeconomic status (SES) between different social classes of a population correspond to differences in accessibility to all resources available and able to improve global health. SES can influence global health trajectory for an individual or a community, depending if SES is low or high. Sleep is sensitive to environmental stimuli, as well as living conditions. Plenty of studies linked sleep complaints with mood disorders, allostatic load or circadian disruption; but very few or none investigated deeply what happened earlier to sleep depending of SES. While SES is now known as one of the main determinants for a good health and a good aging, its influence on sleep disorders (SD) is not well understood. SES is a concept, not directly observable but estimated using indicators like income, education, occupational status and area of living. Even if recent evidence suggested that few of SES indicators like occupational status are linked with sleep disturbances, the relation between SES and health in general with sleep as an outcome or a mediator is not well documented. This scoping review synthetized studies which investigated physiological and psychological mechanisms resulting from a low SES and linked them with sleep disturbances as consequences or as mediators. This review also explore a possible role played by sleep in the relation between socioeconomic status and health inequalities.

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Sleep differences in one‐year‐old children were related to obesity risks based on their parents’ weight according to baseline longitudinal study data

Abstract: Sleep differed between one-year-old children with high or low obesity risks, based on their parents' body mass index, and was associated with the family obesity risk and parental sleep. The child's bedtime was weakly associated with their weight status.

Cited by 7 publications

References 31 publications

Development of sleep patterns in children with obese and normal‐weight parents

Development of sleep patterns in children with obese and normal‐weight parents

Sleep and Adiposity in Children From 2 to 6 Years of Age

Sleep Disturbances are Consequences or Mediators between Socioeconomic Status and Health: A Scoping Review

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