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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Are former late-preterm children at risk for child vulnerability and overprotection?

Haifa A Samra1, Jacqueline M McGrath, Howard Wey

  • 1South Dakota State University, College of Nursing, Brookings, SD 57007, United States. haifa.samra@sdstate.edu

Early Human Development
|August 11, 2010
PubMed

Insights

Late-preterm birth history did not predict parent perception of child vulnerability, overprotection, or healthcare use in healthy children. Further research is needed in diverse populations to understand risks and develop interventions.

Area of Science:

  • Developmental Psychology
  • Pediatric Health
  • Maternal and Child Health

Background:

  • Parent perception of child vulnerability (PPCV) and parent overprotection (POP) can impact child development.
  • Concerns exist regarding suboptimal developmental outcomes in late-preterm children (34-36 6/7 weeks gestation).

Purpose of the Study:

  • To examine the relationship between late-preterm birth history and PPCV, POP, and healthcare utilization (HCU).

Main Methods:

  • Cross-sectional observational study of 54 mothers and their healthy singleton children (aged 3-8 years).
  • Recruitment from community centers, WIC, primary care, and daycare.
  • Measures included Forsyth Child Vulnerability Scale (CVS), Thomasgard Parent Protection Scale (PPS), and HCU, with covariates like maternal stress and depression.

Main Results:

  • Healthcare utilization (HCU) and PPS subscales (supervision, separation) predicted PPCV.
  • Child's age and CVS scores predicted POP.
  • Maternal age, stress, and CVS scores predicted HCU.
  • PPS dependence subscale correlated with child's age and gender.

Conclusions:

  • Late-preterm birth history did not predict PPCV, POP, or HCU in healthy children.
  • Larger, diverse samples are needed to understand causal relationships and develop risk-reduction strategies.
Abstract

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