Abstract
Exploring a large data set, hypertonicity of the lower extremities has been incidentally identified as occurring in one out of every five infants, whether term or preterm. This retrospective, longitudinal, descriptive, quantitative study examined data from 463 functionally and structurally normal infants and identified infants that were considered to be hypertonic at either hospital discharge and at one month of corrected gestational age to determine what their motor capabilities were at 13 months of age. Understanding the correlation will assist in determining whether early intervention is indicated for these infants. Multiple statistical analyses revealed no correlation between hypertonicity as a young infant and the Bayley-II motor function score at 13 months of age. The Roy Adaptation model was used as the conceptual framework of the study and ordinal regression was utilized to analyze the data.
Sigma Membership
Mu Upsilon
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Observational
Research Approach
Quantitative Research
Keywords:
High Muscle Tone, Infant Motor Skills, Infant Care
Advisor
Martha V. Whetsell
Degree
PhD
Degree Grantor
City University of New York
Degree Year
2013
Recommended Citation
Brillhart, Susan Jean, "Hypertonic lower extremities in infants: Correlation to motor function scores at thirteen months of age" (2019). Dissertations. 1422.
https://www.sigmarepository.org/dissertations/1422
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2019-09-18
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3561573; ProQuest document ID: 1364618415. The author still retains copyright.