Differential Vulnerability to Early-Life Parental Death: The Moderating Effects of Family Suicide History on Risks for Major Depression and Substance Abuse in Later Life. (2nd January 2016)

• Record Type: Journal Article
• Authors: Hollingshaus, Michael S.; Coon, Hilary; Crowell, Sheila E.; Gray, Douglas D.; Hanson, Heidi A.; Pimentel, Richard; Smith, Ken R.
• Is Part Of: Biodemography and social biology. Volume 62:Number 1(2016)
• Page Start: 105
• Page End: 125
• Publication Date: 2016-01-02
• Subjects: Sociobiology -- Periodicals; Human biology -- Social aspects -- Periodicals; Demography -- Periodicals; Human evolution -- Periodicals; 304.5
• DOI: 10.1080/19485565.2016.1138395
• Languages: English
• ISSNs: 1948-5565

Abstract

Abstract : Only a portion of those individuals exposed to parental death in early life (PDE) develop behavioral health disorders. We utilized demographic pedigree data from the Utah Population Database to test for differential vulnerability to PDE by creating a risk score of familial susceptibility to suicide (FS) at the population level. Using logistic panel regression models, we tested for multiplicative interactions between PDE and FS on the risks of major depressive disorder (MDD) and substance abuse (SA), measured using Medicare claims, after age 65. The final sample included 155, 983 individuals (born 1886–1944), yielding 1, 431, 060 person-years at risk (1992–2009). Net of several potential confounders, including probability of survival to age 65, we found an FS × PDE interaction for females, in which PDE and FS as main effects had no impact but jointly increased MDD risk. No statistically significant main or interactive effects were found for SA among females or for either phenotype among males. Our findings are consistent with a differential vulnerability model for MDD in females, in which early-life stress increases the risk for poor behavioral health only among the vulnerable. Furthermore, we demonstrate how demographic and pedigree data might serve as tools for investigating differential vulnerability hypotheses.