Longitudinal BMI Growth Curves for Surviving Preterm NICU Infants Based on a Large US Sample

Williamson, Adrienne; Derado, Josip; Barney, Bradley J.; Saunders, Greg; Olsen, Irene E.; Clark, Reese H.; Lawson, M. Louise

doi:10.1542/peds.2017-4169

Cited by 15 publications

(8 citation statements)

References 22 publications

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“…Differences in the child, family and maternal health characteristics by sex and gestational age categories were analysed using independent t-tests, one-way analysis of variance (ANOVA) and chi-squared tests. Based on the previous literature [34][35][36][37][38] and our exploratory analysis, the summarized directed acyclic graph (DAG) between gestational age, daily sleep hours and CSHQ scores (Additional file 1: Figure S1) was generated by using a web-based tool DAGitty (www. dagit ty.…”

Section: Discussionmentioning

confidence: 99%

Associations between gestational age and childhood sleep: a national retrospective cohort study

Lyu

Groeger

Barnett

et al. 2022

BMC Med

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Background Both sleep quality and quantity are essential for normal brain development throughout childhood; however, the association between preterm birth and sleep problems in preschoolers is not yet clear, and the effects of gestational age across the full range from preterm to post-term have not been examined. Our study investigated the sleep outcomes of children born at very-preterm (<31 weeks), moderate-preterm (32–33 weeks), late-preterm (34–36 weeks), early-term (37–38 weeks), full-term (39–40 weeks), late-term (41 weeks) and post-term (>41 weeks). Methods A national retrospective cohort study was conducted with 114,311 children aged 3–5 years old in China. Children’s daily sleep hours and pediatric sleep disorders defined by the Children’s Sleep Habits Questionnaire (CSHQ) were reported by parents. Linear regressions and logistic regression models were applied to examine gestational age at birth with the sleep outcomes of children. Results Compared with full-term children, a significantly higher CSHQ score, and hence worse sleep, was observed in very-preterm (β = 1.827), moderate-preterm (β = 1.409), late-preterm (β = 0.832), early-term (β = 0.233) and post-term (β = 0.831) children, all p<0.001. The association of pediatric sleep disorder (i.e. CSHQ scores>41) was also seen in very-preterm (adjusted odds ratio [AOR] = 1.287 95% confidence interval [CI] (1.157, 1.433)), moderate-preterm (AOR = 1.249 95% CI (1.110, 1.405)), late-preterm (AOR = 1.111 95% CI (1.052, 1.174)) and post-term (AOR = 1.139 95% CI (1.061, 1.222)), all p<0.001. Shorter sleep duration was also found in very-preterm (β = −0.303), moderate-preterm (β = −0.282), late-preterm (β = −0.201), early-term (β = −0.068) and post-term (β = −0.110) compared with full-term children, all p<0.01. Preterm and post-term-born children had different sleep profiles as suggested by subscales of the CSHQ. Conclusions Every degree of premature, early-term and post-term birth, compared to full-term, has an association with sleep disorders and shortened daily sleep duration. Preterm, early-term, and post-term should therefore all be monitored with an increased threat of sleep disorder that requires long-term monitoring for adverse sleep outcomes in preschoolers.

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Section: Discussionmentioning

confidence: 99%

Associations between gestational age and childhood sleep: a national retrospective cohort study

Lyu

Groeger

Barnett

et al. 2022

BMC Med

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“…Traditional classification based on birth weight centiles for GA does not reflect body fat in both term and preterm newborns 29 , while weight/length greatly aids in predicting newborn fat mass and fat-free mass as well as body proportionality 15 , 30 . BMI is useful for measuring body proportionality for newborn infants 30 – 32 . PI is a customary measure to evaluate whether abnormalities in growth in preterm infants are symmetric or asymmetric 33 – 35 .…”

Section: Discussionmentioning

confidence: 99%

Construction of China national newborn growth standards based on a large low-risk sample

Zong

Zhang

et al. 2021

Sci Rep

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Most published newborn growth references are based on conventional monitoring data that usually included both low- and high-risk pregnancies. We sought to develop a set of neonatal growth standards constructed from only a large sample of low-risk pregnancies. A total of 24,375 naturally conceived singleton live births with gestational ages of 24–42 weeks were collected in 69 hospitals in thirteen Chinese cities between 2015 and 2018. Unhealthy infants or those with high-risk mother were excluded. Smoothed percentile curves of six anthropometric indicators were established using the Generalized Additive Model for Location, Scale and Shape. The 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentile references for birth weight, length, head circumference, weight/length, body mass index, and ponderal index were calculated for neonates with gestational ages of 24–42 weeks. This set of neonatal growth standards with six anthropometric indicators can provide more tools for growth and nutrition assessment and body proportionality in neonatal clinical practice. These standards might also help to show the differences between growth curves based on low-risk and mixed low- and high-risk pregnancies.

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“…Understanding these outcomes is becomingly increasingly urgent. 11 Studies among children born preterm have found different body shapes compared with children born at term, 12,13 and differences in growth trajectories may be associated with various areas of cognitive function. 14,15 However, the sample size of previous studies was small, [16][17][18] with the largest a uniform sample size of 1320 infants.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Factors Associated With Body Mass Index at Ages 18 and 36 Months Among Infants Born Extremely Preterm

et al. 2021

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IMPORTANCEThe development of neonatology has been associated with improved survival among infants born extremely preterm, and understanding their long-term outcomes is becoming increasingly important. However, there is little information on body mass index (BMI) among these children.OBJECTIVE To determine factors associated with BMI at ages 18 months and 36 months among infants born extremely preterm. DESIGN, SETTING, AND PARTICIPANTSThis retrospective, multicenter cohort study was conducted using data from the Neonatal Research Network Japan database for 8838 infants born at gestational ages 23 to 28 weeks with data on BMI at 18 months and 36 months. Data were analyzed from April 2018 through June 2021. EXPOSURES BMI and BMI z score at ages 18 months and 36 months were regressed with gestational age, intrauterine growth restriction (IUGR) status, and complications during pregnancy and the neonatal period separately by presence of multiple pregnancy and sex. MAIN OUTCOMES AND MEASURES BMI and BMI z score at ages 18 months and 36 months. RESULTS Among 16 791 eligible infants born extremely preterm, 8838 infants were included in the analysis. There were 7089 infants born from single pregnancies (mean [SD] gestational age, 26.0 [1.6] weeks; 3769 [53.2%] boys; mean [SD] birth weight, 847 [228] g) and 1749 infants born from multiple pregnancies (mean [SD] gestational age, 26.3 [1.5] weeks; 903 [51.6%] boys; mean [SD]birth weight, 860 [217] g). In single pregnancies, every week of increased gestational age was associated with an increase in BMI of 0.21 (95% CI, 0.17-0.25) among boys and 0.20 (95% CI, 0.15-0.25) among girls at age 18 months and 0.21 (95% CI, 0.18-0.24) among boys and 0.21 (95% CI, 0.18-0.24) among girls at age 36 months. There was an interaction association between gestational age and IUGR among boys at age 36 months, with a decrease in the change associated with gestational age of 0.12 (95% CI, 0.05-0.19). Every week of increased gestational age in single pregnancies was associated with an increase in BMI z score of 0.14 (95% CI, 0.17-0.21) among boys and 0.17 (95% CI, 0.13-0.21) among girls at age 18 months and 0.19 (95% CI, 0.16-0.22) among boys and 0.17 (95% CI, 0.15-0.20) among girls at age 36 months. Among single pregnancies, IUGR was associated with a decrease in BMI among boys (0.59 [95% CI, 0.23-0.95]) and girls (0.75 [95% CI,]) and BMI z score among boys 0.85 [95% CI, 0.25-0.95)] and girls (0.67 [95% CI, 0.36-0.97] at age 18 months and BMI among boys (0.44 [95% CI, 0.17-0.18]) and girls (0.84 [95% CI, 0.55-1.12]) and BMI z score among boys (0.46 [95% CI, 0.21-0.71]) and girls (0.77 [95% CI, 0.53-1.01]) at age 36 months. In multiple pregnancies, IUGR was associated with a decrease in BMI z score at age 36 months among boys (0.26 [95% CI, 0.42-0.89]) and girls (0.29 [95% CI, 0.22-0.79]). In single pregnancies (continued) Key Points Question What factors are associated with body mass index (BMI) in the first 36 months of life among infants born at gestational age less than 28 weeks? Findings In t...

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Longitudinal BMI Growth Curves for Surviving Preterm NICU Infants Based on a Large US Sample

Abstract: These new longitudinal curves provide clinicians data on how premature infants' body proportionality changes over time.

Cited by 15 publications

References 22 publications

Associations between gestational age and childhood sleep: a national retrospective cohort study

Associations between gestational age and childhood sleep: a national retrospective cohort study

Construction of China national newborn growth standards based on a large low-risk sample

Analysis of Factors Associated With Body Mass Index at Ages 18 and 36 Months Among Infants Born Extremely Preterm

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