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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14164

Title: Stress during pregnancy and its influence on the offspring's development and temperament: a physiological study
Authors: Parra Soto, José Elibiel
Advisors: GOEYVAERTS, Nele
SOTTO, Cristina
VAN DEN BERGH, Bea
Issue Date: 2012
Publisher: tUL Diepenbeek
Abstract: Generalized Linear Mixed Models (GLMM's) are appropriate to model univariate and multivariate outcome data. These methods are especially suitable to analyze missing no-normal questionnaire data. GLMM's were used to study the associations between antenatal maternal anxiety (measured with The Pregnancy Related Anxiety Questionnaire) and cortisol, as well as antenatal maternal depression (measured with the Edinburgh pregnancy depression scale) and cortisol. In total, there were 192 normal participants in the Prenatal Early Life Stress (PELS) PROJECT TILBURG. Univariate, bivariate and multivariate GLMM's for longitudinal correlated and missing data showed that the odds of having high levels of fear about the baby's integrity increases 1% per one unit of increase in cortisol in the first tow trimesters (log odds ratio of 1.01 p-value=0.0098) and 7.2% in the last trimester.
Notes: Master of Statistics-Biostatistics
URI: http://hdl.handle.net/1942/14164
Category: T2
Type: Theses and Dissertations
Appears in Collections: Master theses

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