Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 506-514 |
| Number of pages | 9 |
| Journal | American Journal of Epidemiology |
| Volume | 153 |
| Issue number | 5 |
| DOIs | |
| State | Published - Mar 1 2001 |
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Keywords
- Anorexia nervosa
- Bulimia
- Depressive disorder
- Eating disorders
- Family characteristics
- Logistic models
- Mood disorders
ASJC Scopus subject areas
- Epidemiology
Cite this
Multivariate logistic regression for familial aggregation of two disorders. II. Analysis of studies of eating and mood disorders. / Hudson, James I.; Laird, Nan M.; Betensky, Rebecca; Keck, Paul E.; Pope, Harrison G.
In: American Journal of Epidemiology, Vol. 153, No. 5, 01.03.2001, p. 506-514.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multivariate logistic regression for familial aggregation of two disorders. II. Analysis of studies of eating and mood disorders
AU - Hudson, James I.
AU - Laird, Nan M.
AU - Betensky, Rebecca
AU - Keck, Paul E.
AU - Pope, Harrison G.
PY - 2001/3/1
Y1 - 2001/3/1
N2 - 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.
AB - 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.
KW - Anorexia nervosa
KW - Bulimia
KW - Depressive disorder
KW - Eating disorders
KW - Family characteristics
KW - Logistic models
KW - Mood disorders
UR - http://www.scopus.com/inward/record.url?scp=0035283351&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035283351&partnerID=8YFLogxK
U2 - 10.1093/aje/153.5.506
DO - 10.1093/aje/153.5.506
M3 - Article
C2 - 11226983
AN - SCOPUS:0035283351
VL - 153
SP - 506
EP - 514
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
SN - 0002-9262
IS - 5
ER -