Abstract
Maternal-preterm infant interactions affect cognitive and social development of the infant. Little research has focused on the unique contribution of maternal health to interactions. Using data from two NIH-funded longitudinal studies of preterm infants and mothers, this dissertation examined the effects of three high-risk maternal health conditions--chronic illness predating pregnancy, a history of infertility or reproductive loss, and pregnancy-related illness--on interactions. Three separate papers comprised the dissertation. Data between the two NIH-funded studies were analyzed separately as replications within each paper.
Sigma Membership
Alpha Alpha
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Mixed/Multi Method Research
Keywords:
Premature Births, Maternal-Infant Interactions, High-Risk Maternal Health Conditions
Advisor
Diane Holditch-Davis
Second Advisor
Marcia Van Riper
Third Advisor
Suzanne Thoyre
Degree
PhD
Degree Grantor
The University of North Carolina at Chapel Hill
Degree Year
2005
Recommended Citation
Black, Beth P., "Maternal-preterm infant interaction subsequent to high-risk pregnancy" (2023). Dissertations. 1776.
https://www.sigmarepository.org/dissertations/1776
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
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
2023-07-18
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3190222; ProQuest document ID: 305422359. The author still retains copyright.