Risk factors for the bipolar and depression spectra

Angst, J.; Gamma, Alex; Endrass, Jérôme

doi:10.1034/j.1600-0447.108.s418.4.x

Cited by 108 publications

(111 citation statements)

References 11 publications

(9 reference statements)

Supporting

Mentioning

109

Contrasting

Unclassified

Order By: Relevance

“…This was simple to understand and appropriate given its use in over 7000 people and consistent with other previous mood instability research [44]. A very similar mood instability question, as the one used in the current analysis has been utilised in other epidemiological research and responses found to predict future diagnosis of bipolar disorder [45]. One method increasingly advocated as a way to measure mood instability is ecological momentary assessment [3], but the demand that it places on respondents makes its use in household surveys a challenge.…”

Section: Discussionmentioning

confidence: 66%

Mood instability, mental illness and suicidal ideas: results from a household survey

Marwaha

Parsons

Broome

2013

Soc Psychiatry Psychiatr Epidemiol

View full text Add to dashboard Cite

Purpose: There is weak and inconsistent evidence that mood instability (MI) is associated with depression, PTSD and suicidality although the basis of this is unclear. Our objectives were first to test whether there is an association between depression and PTSD, and MI and secondly whether MI exerts an independent effect on suicidal thinking over and above that explained by common mental disorders. Methods: We used data from the Adult Psychiatric Morbidity Survey 2007 (N=7131). Chi-square tests were used to examine associations between depression and PTSD, and MI, followed by regression modelling to examine associations between MI and depression, and with PTSD. Multiple logistic regression analyses were used to assess the independent effect of MI on suicidal thinking, after adjustment for demographic factors and the effects of common mental disorder diagnoses.Results: There are high rates of MI in depression and PTSD and the presence of MI increases the odds of depression by 10.66 (95% CI 7.51-15.13) and PTSD by 8.69 (95% CI 5.90-12.79) respectively, after adjusting for other factors. Mood instability independently explained suicidal thinking, multiplying the odds by nearly five (OR 4.82; 95% CI 3.39-6.85), and was individually by some way the most important single factor in explaining suicidal thoughts.Conclusions: MI is strongly associated with depression and PTSD. In people with common mental disorders MI is clinically significant as it acts as an additional factor exacerbating the risk of suicidal thinking. It is important to enquire about MI as part of clinical assessment and treatment studies are required.

show abstract

Section: Discussionmentioning

confidence: 66%

Mood instability, mental illness and suicidal ideas: results from a household survey

Marwaha

Parsons

Broome

2013

Soc Psychiatry Psychiatr Epidemiol

View full text Add to dashboard Cite

show abstract

“…Abnormalities in these tracts have been found in studies of unipolar depression Cullen et al 2010 ;Dalby et al 2010) and people at high familial risk of major mental illness . There is also a growing body of literature showing abnormal frontotemporal activation and connectivity in depression (Anand et al 2005a,b) and in a variety of other mental disorders (Lawrie et al 2002 ;Chepenik et al 2010) for which neuroticism is an identified risk factor (Maier et al 1994 ;van Os & Jones, 2001 ;Angst et al 2003 ;Barnett et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Neuroticism, depressive symptoms and white-matter integrity in the Lothian Birth Cohort 1936

et al. 2012

View full text Add to dashboard Cite

Background. Clinical depression is associated with reductions in white-matter integrity in several long tracts of the brain. The extent to which these findings are localized or related to depressive symptoms or personality traits linked to disease risk remains unclear.Method. Members of the Lothian Birth Cohort 1936 (LBC936) were assessed in two waves at mean ages of 70 and 73 years. At wave 1, they underwent assessments of depressive symptoms and the personality traits of neuroticism and extraversion. Brain diffusion magnetic resonance imaging (MRI) data were obtained at the second wave and mood assessments were repeated. We tested whether depressive symptoms were related to reduced white-matter tract fractional anisotropy (FA), a measure of integrity, and then examined whether high neuroticism or low extraversion mediated this relationship.Results. Six hundred and sixty-eight participants provided useable data. Bilateral uncinate fasciculus FA was significantly negatively associated with depressive symptoms at both waves (standardized b=0.12-0.16). Higher neuroticism and lower extraversion were also significantly associated with lower uncinate FA bilaterally (standardized b=0.09-0.15) and significantly mediated the relationship between FA and depressive symptoms.Conclusions. Trait liability to depression and depressive symptoms are associated with reduced structural connectivity in tracts connecting the prefrontal cortex with the amygdala and anterior temporal cortex. These effects suggest that frontotemporal disconnection is linked to the etiology of depression, in part through personality trait differences.

show abstract

“…This burgeoning interest is for several reasons. First, AI appears to be a prognostic marker for transition status in those at risk of bipolar disorder (Angst et al, 2003;Howes et al, 2011). Secondly, automated, persistent time series measurement of mood, analysed using advanced mathematical techniques has revealed a complex pattern of AI in the euthymic periods of people with bipolar disorder (Bonsall et al, 2012) reflecting an abnormality in affective reactivity .…”

Section: Introductionmentioning

confidence: 99%