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Does preterm period sleep development predict early childhood growth trajectories?

ABSTRACT: OBJECTIVE:The current study examined the relationship between sleep state development across the preterm and early post-term periods and subsequent growth trajectories from 1 to 27 months corrected age. STUDY DESIGN:Retrospective analysis of data collected prospectively from 111 preterm infants (?34 weeks gestation) who participated in a multi-site longitudinal study. Separate longitudinal parallel process models were calculated for each sleep state (active and quiet sleep) and growth (weight, length and body mass index (BMI) Z-scores) variable to estimate the associations between their developmental trajectories. RESULTS:Significant associations were identified between the trajectories of quiet sleep and weight, active sleep and weight, quiet sleep and BMI, and active sleep and BMI. No statistically meaningful associations were identified between the trajectories of early childhood length and the preterm sleep states. CONCLUSION:Faster preterm period sleep development appears to predict more favorable early childhood growth trajectories, particularly for weight, indicating preterm sleep may be an important biomarker for subsequent growth outcomes.

SUBMITTER: Winkler MR

PROVIDER: S-EPMC5599328 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Does preterm period sleep development predict early childhood growth trajectories?

Winkler M R MR Park J J Pan W W Brandon D H DH Scher M M Holditch-Davis D D

Journal of perinatology : official journal of the California Perinatal Association 20170615 9

<h4>Objective</h4>The current study examined the relationship between sleep state development across the preterm and early post-term periods and subsequent growth trajectories from 1 to 27 months corrected age.<h4>Study design</h4>Retrospective analysis of data collected prospectively from 111 preterm infants (⩽34 weeks gestation) who participated in a multi-site longitudinal study. Separate longitudinal parallel process models were calculated for each sleep state (active and quiet sleep) and gr ...[more]

PMID: 28617425

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Project description:PURPOSE:Stature at a particular age can be considered the cumulative result of growth during a number of preceding growth trajectory periods. We investigated whether height and weight growth trajectories from birth to age 10 years were related to refractive error at ages 11 and 15 years, and eye size at age 15 years. DESIGN:Prospective analysis in a birth cohort. PARTICIPANTS:Children participating in the Avon Longitudinal Study of Parents and Children (ALSPAC) U.K. birth cohort (minimum N = 2676). METHODS:Growth trajectories between birth and 10 years were modeled from a series of height and weight measurements (N = 6815). Refractive error was assessed by noncycloplegic autorefraction at ages 11 and 15 years (minimum N = 4737). Axial length (AXL) and radius of corneal curvature were measured with an IOLMaster (Carl Zeiss Meditec, Welwyn Garden City, U.K.) at age 15 years (minimum N = 2676). Growth trajectories and an allelic score for 180 genetic variants associated with adult height were tested for association with refractive error and eye size. MAIN OUTCOME MEASURES:Noncycloplegic autorefraction at ages 11 and 15 years, and AXL and corneal curvature at age 15 years. RESULTS:Height growth trajectory during the linear phase between 2.5 and 10 years was negatively associated with refractive error at 11 and 15 years (P<0.001), but explained <0.5% of intersubject variation. Height and weight growth trajectories, especially shortly after birth, were positively associated with AXL and corneal curvature (P<0.001), predicting 1% to 5% of trait variation. Height growth after 2.5 years was not associated with corneal curvature, whereas the association with AXL continued up to 10 years. The height allelic score was associated with corneal curvature (P = 0.03) but not with refractive error or AXL. CONCLUSIONS:Up to the age of 10 years, shared growth mechanisms contribute to scaling of eye and body size but minimally to the development of myopia. FINANCIAL DISCLOSURE(S):The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Project description:Background: Childhood sleep disordered breathing (SDB) has been linked to poorer academic performance; however, research has not investigated the extent improvement in SDB may alter outcomes across key academic skills. This study aimed to investigate if children's early SDB status could predict later academic outcomes, and if an improvement in SDB status across the early childhood years would coincide with better, later performance in key academic skills related to reading, numeracy, and listening comprehension. Methods: Eighty five case children with an SDB symptom score >25 (maximum 77) were matched to 85 control children (score <12) at recruitment (age 3). SDB severity (symptom history and clinical assessment) was evaluated at ages 3, 4, 6, and 8 years and performance on individually-administered academic skills assessed at age 8 (91% retention from age 3). Case children were categorized into "improved" or "not-improved" groups based on SDB trajectories over the 5 years. Contributions of SDB status and trajectory group to academic performance were determined using regression analysis adjusted for demographic variables. Results: History of SDB from age 3 predicted significantly poorer performance on some key academic skills (oral reading and listening skills) at age 8. Children whose SDB improved (45%) performed better in oral reading fluency than those whose SDB did not improve, but difficulties with specific tasks involving oral language (listening retell) remained when compared to controls. Conclusion: Findings support links between early SDB and worse academic outcomes and suggest key academic areas of concern around oral language. Findings highlight the need for child mental health professionals to be aware of children's sleep problems, particularly SDB (past and present), when assessing potential barriers to children's achievement, to assist with appropriate and timely referrals for evaluation of children's sleep difficulties and collaborative evaluation of response to intervention for sleep difficulties.

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Does preterm period sleep development predict early childhood growth trajectories?

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Does preterm period sleep development predict early childhood growth trajectories?

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