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Widowhood and the Stability of Late Life Depressive Symptomatology in the Swedish Adoption Twin Study of Aging

Overview of attention for article published in Behavior Genetics, August 2015
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Title
Widowhood and the Stability of Late Life Depressive Symptomatology in the Swedish Adoption Twin Study of Aging
Published in
Behavior Genetics, August 2015
DOI 10.1007/s10519-015-9733-7
Pubmed ID
Authors

Christopher R. Beam, Robert E. Emery, Chandra A. Reynolds, Margaret Gatz, Eric Turkheimer, Nancy L. Pedersen

Abstract

Although the Swedish Adoption Twin of Aging (SATSA) has been used to investigate phenotypic stability of late life depressive symptoms, the biometric processes underlying this stability have not been studied. Under a reciprocal effects modeling framework, we used SATSA twins' Center for Epidemiologic Studies Depression (CES-D) Scale data across 5 waves (from 1987-2007) to test whether the reciprocal exchange between twins within a family and their nonshared environments (P<=>E) promote the accumulation of gene-environment correlation (rGE) over time. The model generates increasing rGE that produces subsequent stable environmental differences between twins within a family-a process hypothesized to explain stability in chronic late life depressive symptoms. Widowhood is included as a stressful life experience that may introduce an additional nonshared source of variability in CES-D scores. Genetic effects and nonshared environmental effects are primary sources of stability of late life depressive symptoms without evidence of underlying rGE processes. Additionally, widowhood explained stable differences in CES-D scores between twins within a family up to 3 years after spousal loss.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 4 17%
Student > Doctoral Student 4 17%
Student > Bachelor 2 9%
Professor 1 4%
Other 5 22%
Unknown 3 13%
Readers by discipline Count As %
Psychology 7 30%
Medicine and Dentistry 5 22%
Biochemistry, Genetics and Molecular Biology 2 9%
Social Sciences 2 9%
Agricultural and Biological Sciences 1 4%
Other 2 9%
Unknown 4 17%