Multivariate logistic regression for familial aggregation of two disorders. II. Analysis of studies of eating and mood disorders.
Family studies have suggested that eating disorders and mood disorders may coaggregate within families. Previous studies, however, have been limited by use of univariate modeling techniques and failure to account for the correlation of observations within families. To provide a more efficient analysis and to illustrate multivariate logistic regression models for familial aggregation of two disorders, the authors analyzed pooled data from two previously published family studies (conducted in Massachusetts in 1984-1986 and 1986-1987) by using multivariate proband predictive and family predictive models. Both models demonstrated a significant familial aggregation of mood disorders and familial coaggregation of eating and mood disorders. The magnitude of the coaggregation between eating and mood disorders was similar to that of the aggregation of mood disorders. Similar results were obtained with alternative models, including a traditional univariate proband predictive model. In comparison with the univariate model, the multivariate models provided greater flexibility, improved precision, and wider generality for interpreting aggregation effects.
Biological Psychiatry Laboratory, McLean Hospital, 115 Mill Street, Belmont, MA 02478, USA. jhudson@hsph.harvard.edu
J I
JI
Hudson
N M
NM
Laird
R A
RA
Betensky
P E
PE
Keck
H G
HG
Pope
D005190:Family; D001068:Feeding and Eating Disorders / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000453:epidemiology*; D006801:Humans; D016015:Logistic Models; D019964:Mood Disorders / Q000235:genetics*; D015999:Multivariate Analysis; D011237:Predictive Value of Tests