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Depression and parental bonding: Cause, consequence, or genetic covariance?
Authors
Akaike
Alexander
+68 more
Alnaes
Beck
Biddle
Birtchnell
Bollen
Browne
Campbell
Carey
Chodoff
Comstock
Costello
Daniels
Duffy
Eaves
Eaves
Eaves
Gotlib
Heath
Heath
Heise
Holmes
Jacobson
Jinks
Jöreskog
Kendler
Kendler
Kenny
Kessler
Lewinsohn
Li
Locasio
Mackinnon
Mardia
Martin
Mather
McArdle
McArdle
Morris-Yates
Myers
Neale
Neale
Neale
Neale
Neale
Neale
Neale
Neale
Parker
Parker
Parker
Parker
Parker
Perris
Plantes
Plomin
Radloff
Raskin
Rigdon
Robins
Rogosa
Rutter
Theil
Vogler
Werts
Werts
Werts
Wilhelm
Young
Publication date
1 January 1994
Publisher
'Wiley'
Doi
Abstract
It is shown how information on the direction of causation between variables may be obtained from a cross‐sectional study of pairs of relatives. This method is applied to the study of the relationship between ratings of parents' rearing style and depression in their offspring. Adult female twins ascertained from a population‐based registry in Virginia completed the Center for Epidemiological Studies ‐ Depression Scale (CESD) and a 7‐item short form of the Parental Bonding Instrument (PBI) about each of their parents. Two dimensions of parental behavior, overprotectiveness and coldness, were analyzed jointly with depression data in both genetic factor and directional genetic models. Models that specify ratings of parents as a cause of depression in the offspring fit the data significantly better than models that specify depression as a cause of ratings of parents. A still better fit is obtained with models that specify common genetic variance to depression and ratings, though causal models with error variance perform almost as well. In general, ratings of fathers show more genetic and less shared environmental variance than ratings of mothers, which might arise from more consistent treatment of offspring by mothers than by fathers. No effect of children eliciting parental rearing style was detected with these data. The relative merits of instrumental variable, longitudinal, and family approaches to testing causal models are discussed. © 1994 Wiley‐Liss, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/101796/1/1370110607_ftp.pd
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