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© 1994 Oxford University Press

other

A Prospective Study of Proneness to Acute Respiratory Illness in the First Two Years of Life

R M DOUGLAS*, A WOODWARD**, H MILES**, S BUETOW* and D MORRIS{dagger}

* National Centre for Epidemiology and Population Health, Australian National University Canberra, Australia
** Department of Community Medicine, University of Adelaide Adelaide, South Australia
{dagger} Women's and Children's Hospital, Queen Victoria Campus Fullarton Rd, Adelaide, South Australia

BackgroundThis study sought explanations for the proneness to respiratory events in young Australian children.

MethodsProspective respiratory symptom diaries on 836 children collected data on respiratory symptoms and episodes. Questionnaires to mothers and birth and pregnancy records provided 56 known and possible predictors which were tested against two summary respiratory outcomes in each of the first and second years of life.

ResultsThe two summary respiratory variables recorded for first and second year of life give four outcome variables. In fitting multivariate regression models to predict outcomes, use of child care in early childhood and mothers' experience of respiratory illness in the 12 months before birth were significant predictors for all four outcomes. Number of siblings was a predictor for three of the four outcomes. Sleep difficulty during pregnancy in the mother, and respiratory hospitalization of the infant in the first year, were significant predictors for both first-year outcomes. Unexpected and unexplained findings emerged for alcohol intake during pregnancy, passive smoking and breastfeeding in relation to the second year respiratory outcomes. Less than 9% of variance in outcome scores was explained in any of the four multiple regression models but this rose to between 24% and 31 % when a corresponding score from the other year was added to the model.

ConclusionsProneness to respiratory illness is an important entity; its determinants are largely unknown and events in pregnancy or the perinatal period explain only a small proportion of the between-infant variability.

Received 1 January 1993


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