Early developmental trajectories of preterm infants

Yaari, Maya; Mankuta, David; Harel‐Gadassi, Ayelet; Friedlander, Edwa; Bar‐Oz, Benjamin; Eventov‐Friedman, Smadar; Maniv, Nimrod; Zucker, David M.; Yirmiya, Nurit

doi:10.1016/j.ridd.2017.10.018

Cited by 55 publications

(61 citation statements)

References 42 publications

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“…The MSEL has been used to map trajectories of cognitive development among a variety of risk groups. Similar declines in cognitive performance are observed within the first 12-to 24-months of life among infants with increased familial risk for ASD (Brian et al, 2014) and infants born pre-term (Yaari et al, 2018). Taken together, these findings highlight a developmental period where infants atrisk for cognitive delay begin to exhibit the first behavioural manifestations of adverse outcomes.…”

Section: Performance Of the Gambian Sample And Change In Scores Acrsupporting

confidence: 57%

Adaptation of the Mullen Scales of Early Learning for use among infants aged 5‐ to 24‐months in rural Gambia

Milosavljevic

Vellekoop²,

Maris

et al. 2019

Developmental Science

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Infants in low‐resource settings are at heightened risk for compromised cognitive development due to a multitude of environmental insults in their surroundings. However, the onset of adverse outcomes and trajectory of cognitive development in these settings is not well understood. The aims of the present study were to adapt the Mullen Scales of Early Learning (MSEL) for use with infants in a rural area of The Gambia, to examine cognitive development in the first 24‐months of life and to assess the association between cognitive performance and physical growth. In Phase 1 of this study, the adapted MSEL was tested on 52 infants aged 9‐ to 24‐months (some of whom were tested longitudinally at two time points). Further optimization and training were undertaken and Phase 2 of the study was conducted, where the original measures were administered to 119 newly recruited infants aged 5‐ to 24‐months. Infant length, weight and head circumference were measured concurrently in both phases. Participants from both phases were split into age categories of 5–9 m (N = 32), 10–14 m (N = 92), 15–19 m (N = 53) and 20–24 m (N = 43) and performance was compared across age groups. From the ages of 10–14 m, Gambian infants obtained lower MSEL scores than US norms. Performance decreased with age and was lowest in the 20–24 m old group. Differential onsets of reduced performance were observed in the individual MSEL domains, with declines in visual perception and motor performance detected as early as at 10–14 months, while reduced language scores became evident after 15–19 months of age. Performance on the MSEL was significantly associated with measures of growth.

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Section: Performance Of the Gambian Sample And Change In Scores Acrsupporting

confidence: 57%

Adaptation of the Mullen Scales of Early Learning for use among infants aged 5‐ to 24‐months in rural Gambia

Milosavljevic

Vellekoop²,

Maris

et al. 2019

Developmental Science

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“…Previous approaches have usually involved comparing trajectories of children born preterm to those born at term. [13][14][15] For example, Yaari et al [13] assessed groups of infants on the Mullen Scale of Early Learning (MSEL) and found that those born at less than 34 weeks gestation scored lower than those born at term with the gap increasing over infancy. Linsell et al [15] compared cognitive scores of children born at less than 26 weeks and children born at term measured at 2.5, 6, 11 and 19 years of age.…”

Section: Discussionmentioning

confidence: 99%

Developmental trajectories of infants born at less than 30 weeks’ gestation on the Bayley-III Scales

Durrant

Wong

Cole

et al. 2020

Arch Dis Child Fetal Neonatal Ed

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ObjectiveTo describe the cognitive, language and motor developmental trajectories of children born very preterm and to identify perinatal factors that predict the trajectories.DesignData from a cohort of 1142 infants born at <30 weeks’ gestation who were prospectively assessed on the Bayley Scales of Infant and Toddler Development, third edition (Bayley-III) at 3, 6, 12 and 24 months corrected age, were analysed using the Super Imposition by Translation and Rotation (SITAR) growth curve analysis model.Main outcome measuresDevelopmental trajectory SITAR models for Bayley-III cognitive, language (receptive and expressive communication subscales) and motor (fine and gross motor subscales) scores.ResultsThe successfully fitted SITAR models explained 62% of variance in cognitive development, 68% in receptive communication, 53% in fine motor and 68% in the gross motor development. There was too much variation in the expressive communication subscale to fit a SITAR model. The rate of development (gradient of the curve) best explains the variation in trajectories of development in all domains. Lower gestational age, lower birth weight and male sex significantly predicted a slower rate of development.ConclusionThe rate of development, rather than single time point developmental assessment, best predicts the very preterm infant’s developmental trajectory and should be the focus for monitoring and early intervention.

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“…Moderate (MPT) or late (LPT) preterm birth, however, seems to affect cognitive development in a lesser way. Yaari et al [30] observed that the trajectories of cognitive development of MPT were more favorable than those of EPT and VPT children, although of higher vulnerability in relation to FT children. Cognitive performance of MPT or LPT children between 2 and 7 years of age of age was found to be lower than that of FT children [31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

A Follow-Up Study of Cognitive Development in Low Risk Preterm Children

Pereira

Fernández

Taibo

et al. 2020

IJERPH

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The results of a longitudinal study on the cognitive development of one group of full-term and three groups of low risk preterm children with different gestational ages (GA) are presented. The 181 participants were divided into four GA groups of similar size. The aims were: 1) To check if there are differences in cognitive development (measured through the Batelle scale) among the GA groups. 2) To establish the predictive factors of cognitive development at 22 and 60 months of age, taking into account biomedical, environmental and individual factors. The results of the repeated measures ANOVA performed at 22 and 60 months of age indicated that the cognitive trajectories of the four GA groups were similar. Linear regression analyses showed that the effect of the different predictors changed in relation to the time of measurement of cognitive development. Biological factors and the quality of home environment had a moderate effect on the cognitive development at 22 months of age. Cognitive results obtained at 22 months of age, and, to a lesser extent, working memory had the greatest effect on cognitive development at 60 months. GA does not predict cognitive development. Preterm children do not show cognitive delay if they are healthy.

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Early developmental trajectories of preterm infants

Cited by 55 publications

References 42 publications

Adaptation of the Mullen Scales of Early Learning for use among infants aged 5‐ to 24‐months in rural Gambia

Adaptation of the Mullen Scales of Early Learning for use among infants aged 5‐ to 24‐months in rural Gambia

Developmental trajectories of infants born at less than 30 weeks’ gestation on the Bayley-III Scales

A Follow-Up Study of Cognitive Development in Low Risk Preterm Children

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