BACKGROUND: Earlier studies have shown that employment and burnout are related to anxiety and depression. This twin-family study investigates to what extent these associations are caused by shared etiological factors. METHODS: In a sample of 4,309 Dutch twins and 1,008 siblings, bivariate genetic analyses of employment and anxious depression and of burnout and anxious depression were carried out using structural equation modelling. RESULTS: Employment and anxious depression were both influenced by genetic and individual-specific environmental factors. The association between employment and anxious depression was small, but significant, estimated at -0.08. Power was too low to decide whether the covariance was explained by genetic or environmental factors. In burnout, familial clustering was due to genetic factors in men, but to genetic and common environmental factors in women. In both sexes, there was a strong correlation of around 0.40 with anxious depression, which was explained by shared genetic and shared individual-specific environmental factors. LIMITATIONS: The group of unemployed subjects in our sample not only contained subjects who were searching for a job, but also subjects who were out of the labour force. CONCLUSIONS: Associations between employment and anxious depression as well as between burnout and anxious depression are due to overlapping genetic and individual-specific environmental factors. Work related circumstances, e.g. financial strain or work-family conflict, might be of importance in burnout and anxious depression. These results support the notion that a genetic vulnerability for depression also increases the risk for exposure to high-risk environments, such as unemployment.
BACKGROUND: Earlier studies have shown that employment and burnout are related to anxiety and depression. This twin-family study investigates to what extent these associations are caused by shared etiological factors. METHODS: In a sample of 4,309 Dutch twins and 1,008 siblings, bivariate genetic analyses of employment and anxious depression and of burnout and anxious depression were carried out using structural equation modelling. RESULTS: Employment and anxious depression were both influenced by genetic and individual-specific environmental factors. The association between employment and anxious depression was small, but significant, estimated at -0.08. Power was too low to decide whether the covariance was explained by genetic or environmental factors. In burnout, familial clustering was due to genetic factors in men, but to genetic and common environmental factors in women. In both sexes, there was a strong correlation of around 0.40 with anxious depression, which was explained by shared genetic and shared individual-specific environmental factors. LIMITATIONS: The group of unemployed subjects in our sample not only contained subjects who were searching for a job, but also subjects who were out of the labour force. CONCLUSIONS: Associations between employment and anxious depression as well as between burnout and anxious depression are due to overlapping genetic and individual-specific environmental factors. Work related circumstances, e.g. financial strain or work-family conflict, might be of importance in burnout and anxious depression. These results support the notion that a genetic vulnerability for depression also increases the risk for exposure to high-risk environments, such as unemployment.
Authors: Marijn A Distel; Angela Carlier; Christel M Middeldorp; Catherine A Derom; Gitta H Lubke; Dorret I Boomsma Journal: Am J Med Genet B Neuropsychiatr Genet Date: 2011-08-02 Impact factor: 3.568
Authors: Sonja Sulkava; Hanna M Ollila; Kirsi Ahola; Timo Partonen; Katriina Viitasalo; Johannes Kettunen; Maarit Lappalainen; Mika Kivimäki; Jussi Vahtera; Jaana Lindström; Mikko Härmä; Sampsa Puttonen; Veikko Salomaa; Tiina Paunio Journal: Hum Mol Genet Date: 2013-04-24 Impact factor: 6.150
Authors: Marlene Penz; Magdalena K Wekenborg; Lars Pieper; Katja Beesdo-Baum; Andreas Walther; Robert Miller; Tobias Stalder; Clemens Kirschbaum Journal: Int J Methods Psychiatr Res Date: 2018-04-03 Impact factor: 4.035
Authors: Dawn F Ionescu; Mark J Niciu; Daniel C Mathews; Erica M Richards; Carlos A Zarate Journal: Depress Anxiety Date: 2013-03-11 Impact factor: 6.505