BACKGROUND: There is a substantial overlap between genes affecting anxiety and depression. Both anxiety and depression are associated with cognitive biases such as anxiety sensitivity and attributional style. Little, however, is known about the relationship between these variables and whether these too are genetically correlated. METHODS: Self-reports of anxiety sensitivity, anxiety symptoms, attributional style and depression symptoms were obtained for over 1300 adolescent twin and sibling pairs at two time points. The magnitude of genetic and environmental influences on the measures was examined. RESULTS: Strongest associations were found between anxiety sensitivity and anxiety ratings at both measurement times (r=.70, .72) and between anxiety and depression (r=.62 at both time points). Correlations between the cognitive biases were modest at time 1 (r=-.12) and slightly larger at time 2 (r=-.31). All measures showed moderate genetic influence. Generally genetic correlations reflected phenotypic correlations. Thus the highest genetic correlations were between anxiety sensitivity and anxiety ratings (.86, .87) and between anxiety and depression ratings (.77, .71). Interestingly, depression ratings also showed a high genetic correlation with anxiety sensitivity (.70, .76). Genetic correlations between the cognitive bias measures were moderate (-.31, -.46). LIMITATIONS: The sample consists primarily of twins, there are limitations associated with the twin design. CONCLUSIONS: Cognitive biases associated with depression and anxiety are not as genetically correlated as anxiety and depression ratings themselves. Further research into the cognitive processes related to anxiety and depression will facilitate understanding of the relationship between bias and symptoms.
BACKGROUND: There is a substantial overlap between genes affecting anxiety and depression. Both anxiety and depression are associated with cognitive biases such as anxiety sensitivity and attributional style. Little, however, is known about the relationship between these variables and whether these too are genetically correlated. METHODS: Self-reports of anxiety sensitivity, anxiety symptoms, attributional style and depression symptoms were obtained for over 1300 adolescent twin and sibling pairs at two time points. The magnitude of genetic and environmental influences on the measures was examined. RESULTS: Strongest associations were found between anxiety sensitivity and anxiety ratings at both measurement times (r=.70, .72) and between anxiety and depression (r=.62 at both time points). Correlations between the cognitive biases were modest at time 1 (r=-.12) and slightly larger at time 2 (r=-.31). All measures showed moderate genetic influence. Generally genetic correlations reflected phenotypic correlations. Thus the highest genetic correlations were between anxiety sensitivity and anxiety ratings (.86, .87) and between anxiety and depression ratings (.77, .71). Interestingly, depression ratings also showed a high genetic correlation with anxiety sensitivity (.70, .76). Genetic correlations between the cognitive bias measures were moderate (-.31, -.46). LIMITATIONS: The sample consists primarily of twins, there are limitations associated with the twin design. CONCLUSIONS: Cognitive biases associated with depression and anxiety are not as genetically correlated as anxiety and depression ratings themselves. Further research into the cognitive processes related to anxiety and depression will facilitate understanding of the relationship between bias and symptoms.
Authors: Juventino Hernandez Rodriguez; Samantha J Gregus; James T Craig; Freddie A Pastrana; Timothy A Cavell Journal: Child Psychiatry Hum Dev Date: 2020-04
Authors: Argyris Stringaris; Helena Zavos; Ellen Leibenluft; Barbara Maughan; Thalia C Eley Journal: Am J Psychiatry Date: 2011-10-31 Impact factor: 18.112
Authors: Monika A Waszczuk; Helena M S Zavos; Elena Antonova; Claire M Haworth; Robert Plomin; Thalia C Eley Journal: Depress Anxiety Date: 2015-01-30 Impact factor: 6.505
Authors: Rebecca M Pearson; Charles Fernyhough; Richard Bentall; Jonathan Evans; Jon Heron; Carol Joinson; Alan L Stein; Glyn Lewis Journal: Am J Psychiatry Date: 2013-04 Impact factor: 18.112