4.3 Article

Genetic and environmental influences on rumination and its covariation with depression

期刊

COGNITION & EMOTION
卷 28, 期 7, 页码 1270-1286

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/02699931.2014.881325

关键词

Rumination; Brooding; Reflection; Depression; Heritability

资金

  1. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [T32HD007289] Funding Source: NIH RePORTER
  2. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R01HD010333] Funding Source: NIH RePORTER
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [R56MH063207, R01MH063207] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE ON DRUG ABUSE [P60DA011015] Funding Source: NIH RePORTER
  5. NICHD NIH HHS [HD010333, R01 HD010333, T32 HD007289, HD007289] Funding Source: Medline
  6. NIDA NIH HHS [P60 DA011015, DA011015] Funding Source: Medline
  7. NIMH NIH HHS [R56 MH063207, MH063207, R01 MH063207] Funding Source: Medline

向作者/读者索取更多资源

This study examined the extent to which rumination and depression share genetic and environmental influences in a community sample of adult twins (N = 663). Twins completed multiple rumination questionnaires, a depressive symptoms questionnaire and a diagnostic interview. Rumination was moderately heritable (h(2) = .37-.41 for the latent variable) and substantially influenced by nonshared environmental factors, and these results were consistent across different measures. Nonshared environmental influences on rumination were larger for women than men. Depressive symptoms and diagnosis were influenced by genetic and nonshared environmental factors (h(2) = .30-.45). The genetic correlations between rumination and depression were moderate to large (rA = .40-.82), suggesting that a substantial proportion of the genetic influences on rumination overlap with those on depression. Results were similar when examining self-reported depressive symptoms and interview-based diagnosis of major depressive disorder. These results highlight the importance of rumination in the integration of cognitive and genetic models of depression risk.

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