THE RELATIONSHIP OF BIOLOGICAL RISK FACTORS AND SOCIAL FACTORS TO DEVELOPMENTAL OUTCOME OF 6 TO 12 MONTH OLD PREMATURE INFANTS IN THAILAND (HOME ENVIRONMENT, MATERNAL INVOLVEMENT).
Contributors: University of Texas at Austin.
Published: 1993
Number of pages: 169
Subjects: Health Sciences, Nursing.
Description: A descriptive correlational study examined the relationships among biological risk factors, maternal involvement, home environment, and socioeconomic status in families with infants born prematurely in Thailand, and the infant's developmental outcome at 6 to 12 months of age. The sample was a convenience sample of 60 Thai premature infants with the adjusted age of 6-12 months (chronological age minus number of weeks premature) who had received neonatal intensive care in two large hospitals (Siriraj Hospital and Ramathibodi Hospital) in Bangkok, Thailand. Five instruments were used to measure variables in this study. The Denver II was administered to measure developmental outcome. The Home Observation for Measurement of the Environment (HOME) was used to measure home environment. The Hollingshead Four Factor Index of Social Status was used to measure socioeconomic status. The semi-structured interview Maternal Visitation Form developed by the investigator and the Penticuff Hospital Chart Audit Form, with revised scoring criteria developed by the investigator, were used to measure maternal involvement and biological risk factors. The data were analyzed using descriptive and correlational statistics and logistic regression. Point biserial correlations yielded significant relationships between developmental outcome and biological risk factors, developmental outcome and home environment, and developmental outcome and socioeconomic status (r =.66, $-$.50, and $-$.35, respectively, p $<$.01). Biological risk factors, home environment, and socioeconomic status were three significant predictors of developmental outcome in the logistic regression model in this study. One hundred percent of normal infants, 83.33% of abnormal infants, and overall 96.67% of all infants in this study were correctly classified by the logistic regression model as developmentally normal or abnormal.
Notes: Source: Dissertation Abstracts International, Volume: 54-05, Section: B, page: 2446.

Thesis (PH.D.)--THE UNIVERSITY OF TEXAS AT AUSTIN, 1993.

School code: 0227.