Literature DB >> 26303346

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

Christopher R Beam1,2, Robert E Emery3, Chandra A Reynolds4, Margaret Gatz5,6, Eric Turkheimer3, Nancy L Pedersen5,6.   

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.

Entities:  

Keywords:  Depressive symptomatology; Gene-environment correlation; Late life depression; Nonshared environment; Reciprocal effects model

Mesh:

Year:  2015        PMID: 26303346      PMCID: PMC4720559          DOI: 10.1007/s10519-015-9733-7

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  28 in total

1.  Mixed-effects variance components models for biometric family analyses.

Authors:  John J McArdle; Carol A Prescott
Journal:  Behav Genet       Date:  2005-09       Impact factor: 2.805

Review 2.  Depression in older adults.

Authors:  Amy Fiske; Julie Loebach Wetherell; Margaret Gatz
Journal:  Annu Rev Clin Psychol       Date:  2009       Impact factor: 18.561

Review 3.  Genetic influences on measures of the environment: a systematic review.

Authors:  Kenneth S Kendler; Jessica H Baker
Journal:  Psychol Med       Date:  2006-12-19       Impact factor: 7.723

4.  A population-based twin study of lifetime major depression in men and women.

Authors:  K S Kendler; C A Prescott
Journal:  Arch Gen Psychiatry       Date:  1999-01

5.  Revisiting widowhood in later life: changes in patterns and profiles, advances in research and understanding.

Authors:  Anne Martin-Matthews
Journal:  Can J Aging       Date:  2011-07-26

Review 6.  Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung.

Authors:  Alan B Shafer
Journal:  J Clin Psychol       Date:  2006-01

Review 7.  Depression in the elderly.

Authors:  George S Alexopoulos
Journal:  Lancet       Date:  2005 Jun 4-10       Impact factor: 79.321

8.  The heritability of depression symptoms in elderly Danish twins: occasion-specific versus general effects.

Authors:  Matt McGue; Kaare Christensen
Journal:  Behav Genet       Date:  2003-03       Impact factor: 2.805

9.  Marital status and twins' health and behavior: an analysis of middle-aged Danish twins.

Authors:  Merete Osler; Matt McGue; Rikke Lund; Kaare Christensen
Journal:  Psychosom Med       Date:  2008-05       Impact factor: 4.312

10.  Importance of shared genes and shared environments for symptoms of depression in older adults.

Authors:  M Gatz; N L Pedersen; R Plomin; J R Nesselroade; G E McClearn
Journal:  J Abnorm Psychol       Date:  1992-11
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  2 in total

1.  How nonshared environmental factors come to correlate with heredity.

Authors:  Christopher R Beam; Patrizia Pezzoli; Jane Mendle; S Alexandra Burt; Michael C Neale; Steven M Boker; Pamela K Keel; Kelly L Klump
Journal:  Dev Psychopathol       Date:  2020-10-29

2.  Incidence, risk, and associated factors of depression in adults with physical and sensory disabilities: A nationwide population-based study.

Authors:  Szu-Ching Shen; Kuang-Hua Huang; Pei-Tseng Kung; Li-Ting Chiu; Wen-Chen Tsai
Journal:  PLoS One       Date:  2017-03-31       Impact factor: 3.240

  2 in total

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