Objective Sleep Characteristics and Cardiometabolic Health in Young Adolescents

Feliciano, Elizabeth M. Cespedes; Quante, Mirja; Rifas‐Shiman, Sheryl L.; Redline, Susan; Oken, Emily; Taveras, Elsie M.

doi:10.1542/peds.2017-4085

Cited by 82 publications

(75 citation statements)

References 98 publications

(87 reference statements)

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“…Interestingly, while sleep efficiency was related to cravings, sleep efficiency was not related to dietary quality or BMI z-scores. A potential explanation is that the adolescents in the present cohort had a higher and less variable sleep efficiency (range of 0.91 to 0.99), namely due to the waist worn protocol, compared to a cross-sectional sample of 829 adolescents (0.84 median) [37]. However, the range of sleep efficiency was similar to other studies using the same validated algorithm in a cross-sectional cohort of 5873 children ages 9 to 11 years [38].…”

Section: Discussionmentioning

confidence: 67%

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

et al. 2019

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Background: Sleep and dietary intake/quality can contribute to excess weight gain, but food cravings may influence these relationships. This cross-sectional study examined the relationship of adolescents' sleep characteristics with dietary intake/quality and obesity and whether food cravings mediated these relationships. Methods: Sleep measures were calculated based on 24-h accelerometry, and height and weight were directly measured to calculate body mass index (BMI) z-scores. Food cravings were assessed by the Food Craving Inventory (FCI). Dietary intake and quality were calculated based on dietary recalls. Multivariable linear regression was used to examine the associations among sleep, food cravings, dietary intake/quality, and obesity, adjusting for confounders. Results: In total, 256 adolescents (ages 10-16 years) had complete data; 42% were non-White and 45% were boys. Sleep efficiency was inversely associated with sweet cravings and FCI-28. Sleep duration, meeting the sleep duration guidelines, and fruit/vegetable cravings were each positively associated with dietary quality. Sleep duration was negatively associated with BMI z-score. Mediation models were not performed as no sleep parameter was associated with both cravings and dietary intake/quality or BMI z-score. Conclusions: Associations existed among poor sleep, quantity and quality, with more frequent food cravings and worse dietary quality. Sleep may underlie adolescent obesogenic behaviors.

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Section: Discussionmentioning

confidence: 67%

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

et al. 2019

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“…An association between short weekday nocturnal sleep duration and higher HOMA-IR dependent on abdominal obesity was also observed in an ethnically diverse sample of US American adolescents; the association between long weekday nocturnal sleep duration and higher HOMA-IR remained after adjustment for abdominal obesity [22]. In another study in 829 US American adolescents, objectively measured sleep duration was negatively associated with waist circumference [19]. In that study, the association of sleep duration with HOMA-IR was also negative, although not statistically significant, and was further attenuated after adjustment for BMI [19].…”

Section: Plos Onementioning

confidence: 70%

“…In another study in 829 US American adolescents, objectively measured sleep duration was negatively associated with waist circumference [19]. In that study, the association of sleep duration with HOMA-IR was also negative, although not statistically significant, and was further attenuated after adjustment for BMI [19]. Contrary to our findings, in a study in 14-19 year old US American adolescents (N = 245), both average and weekday nocturnal sleep duration were found to be associated with HOMA-IR, independent of obesity indices [51].…”

Section: Plos Onementioning

confidence: 92%

“…However, there are only few population-based studies that investigated the association between sleep duration and markers of insulin resistance in children and adolescents [13]. Cross-sectional studies provided only weak evidence for an association [13,19], although two longitudinal studies reported a beneficial effect of longer sleep duration on insulin resistance [20,21]. However, this association was independent of obesity in only one study [21].…”

Section: Introductionmentioning

confidence: 99%

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Associations between sleep duration and insulin resistance in European children and adolescents considering the mediating role of abdominal obesity

et al. 2020

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“…Systolic blood pressure (SBP) was measured five times using biannually calibrated automated oscillometric monitors (Dinamap Pro100, Tampa, Florida); these five measures were averaged to calculate mean SBP. We created a metabolic risk z score (METZ) using waist circumference, SBP, HDL cholesterol, HOMA‐IR, and triglycerides, as described previously …”

Section: Methodsmentioning

confidence: 99%

Childhood hair cortisol concentration and early teen cardiometabolic outcomes

et al. 2019

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Summary Objective To examine associations of hair cortisol concentration (HCC) in mid‐childhood and change in HCC from mid‐childhood to early adolescence (ΔHCC) with early adolescent adiposity and cardiometabolic biomarker measures. Methods In Project Viva, a pre‐birth cohort of mothers and children, we measured HCC in 599 white children in mid‐childhood and in 426 of these participants in early adolescence. We used multivariable linear regression to examine associations of mid‐childhood HCC and ΔHCC with BMI‐for‐age‐and‐sex z score, waist circumference, waist‐height ratio, dual X‐ray absorptiometry total and trunk fat mass, a metabolic risk z score, adiponectin, HOMA‐IR, high‐density lipoprotein, C‐reactive protein, interleukin‐6, leptin, and systolic blood pressure. Results Over a mean (SD) follow‐up of 5.2 (0.8) years, we did not find associations of mid‐childhood HCC with BMI‐for‐age‐and‐sex z score (β = 0.00 per 1‐interquartile range of HCC, 95% confidence interval [CI], −0.08 to 0.07), waist circumference (β = −0.04 cm, 95% CI, −0.83 to 0.74), metabolic risk z score (β = 0.04, 95% CI, −0.03 to 0.11), or other cardiometabolic measures except for an increase in log‐transformed HOMA‐IR (β = 0.10, 95% CI, 0.04‐0.17). ΔHCC was not associated with any outcome measures. Conclusions We found that mid‐childhood HCC was not associated with early adolescent adiposity or cardiometabolic biomarkers except for a slight increase in HOMA‐IR.

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Objective Sleep Characteristics and Cardiometabolic Health in Young Adolescents

Cited by 82 publications

References 98 publications

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

Associations between sleep duration and insulin resistance in European children and adolescents considering the mediating role of abdominal obesity

Childhood hair cortisol concentration and early teen cardiometabolic outcomes

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