Abstract #301383

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JSM 2003 Abstract #301383
Activity Number: 219
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 9:00 AM to 10:50 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301383
Title: Simultaneous Regression Modeling of Means and Correlations for Lung Function Measures in Spouses
Author(s): Matthew W. Knuiman*+ and Mark Divitini
Companies: University of Western Australia and The University of Western Australia
Address: Dept. of Public Health, Nedlands, WA, 6907, Australia
Keywords: FISHER software ; spousal correlations ; regression models ; lung function
Abstract:

Correlations between spouses in health-related variables are determined by partner selection factors and shared environmental factors during marriage. It is believed that spousal correlations are positive and increase with duration of marriage. Study of spouse correlations in quantitative variables requires simultaneous regression modeling of means and correlations. The program FISHER was used to model spousal correlations in lung function measures from the Busselton Health Study [http://bsn.uwa.edu.au]. The model for the mean included effects of gender, age, height and smoking, and various models for the correlation in relation to duration of marriage and age at marriage were explored. The models and results indicated that (a) adjustment in the mean model for covariates that are key determinants of lung function AND which themselves have considerable spouse concordance substantially reduces the estimated spousal correlation in lung function, (b) there is clear evidence of nonrandom partner selection in relation to lung function, (c) spousal correlation in lung function does not appear to vary with duration of marriage but does decline with age at marriage.

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