Nhu N Tran1,2, Jay Desai3, Jodie K Votava-Smith4, Mary-Lynn Brecht5, Douglas L Vanderbilt2, Ashok Panigrahy6, Liza Mackintosh7, Kenneth M Brady8, Bradley S Peterson1,9. 1. Institute for the Developing Mind, The Saban Research Institute, 5150Children's Hospital Los Angeles and Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, USA. 2. Fetal and Neonatal Institute, Division of Neonatology Children's Hospital Los Angeles, Department of Pediatrics and Keck School of Medicine, 5116University of Southern California, Los Angeles, USA. 3. Division of Neurology, Children's Hospital Los Angeles and Keck School of Medicine, 5116University of Southern California, Los Angeles, USA. 4. Division of Cardiology, Children's Hospital Los Angeles and Keck School of Medicine, 5116University of Southern California, Los Angeles, USA. 5. School of Nursing, University of California, Los Angeles, Los Angeles, USA. 6. University of Pittsburgh Medical Center, Children's Hospital of Pittsburgh, Pittsburgh, USA and Department of Pediatric Radiology, 5150Children's Hospital Los Angeles, Los Angeles, USA. 7. Division of General Pediatrics, 5150Children's Hospital Los Angeles, Keck School of Medicine, 5116University of Southern California, Los Angeles, California, USA. 8. Lurie Children's Hospital of Chicago, Anesthesiology and Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, USA. 9. Department of Psychiatry, Keck School of Medicine, 5116University of Southern California, Los Angeles, USA.
Abstract
Background: Administration of the Einstein Neonatal Neurobehavioral Assessment Scale (ENNAS) can be time-consuming, and items can be highly correlated. We aimed to determine: (1) its factor analytic structure; (2) the validity of the factor structure; and (3) the associations of physiologic measures with factor scores. Methods: A factor analysis reduced 21 ENNAS items into 5 factors in 57 congenital heart disease (CHD) and 35 healthy infants. Multiple linear regressions examined the association of factor scores with group, gestational age, and physiologic variables. Results: 5-factor solution: 1 (Orienting Reflex), 2 (Extensor Axial Tone), 3 (Primitive Reflexes), 4 (Flexor Tone), 5 (Reflexive Tone Around Extremity Joints). Moderate to strong evidence supported: face, discriminant, and construct validity of these factors, with Factor 2 having the strongest. Conclusions: Components of Factor 2 may provide similar information about neonatal development, thus reducing the time for and burden of administration for researchers and clinicians.
Background: Administration of the Einstein Neonatal Neurobehavioral Assessment Scale (ENNAS) can be time-consuming, and items can be highly correlated. We aimed to determine: (1) its factor analytic structure; (2) the validity of the factor structure; and (3) the associations of physiologic measures with factor scores. Methods: A factor analysis reduced 21 ENNAS items into 5 factors in 57 congenital heart disease (CHD) and 35 healthy infants. Multiple linear regressions examined the association of factor scores with group, gestational age, and physiologic variables. Results: 5-factor solution: 1 (Orienting Reflex), 2 (Extensor Axial Tone), 3 (Primitive Reflexes), 4 (Flexor Tone), 5 (Reflexive Tone Around Extremity Joints). Moderate to strong evidence supported: face, discriminant, and construct validity of these factors, with Factor 2 having the strongest. Conclusions: Components of Factor 2 may provide similar information about neonatal development, thus reducing the time for and burden of administration for researchers and clinicians.
Authors: Nhu N Tran; Jodie K Votava-Smith; John C Wood; Ashok Panigrahy; Choo Phei Wee; Matthew Borzage; S Ram Kumar; Paula M Murray; Mary-Lynn Brecht; Lisa Paquette; Kenneth M Brady; Bradley S Peterson Journal: PLoS One Date: 2021-05-10 Impact factor: 3.240