scholarly journals Mood disorders, childhood maltreatment, and medical morbidity in US adults: An observational study

2020 ◽  
Vol 137 ◽  
pp. 110207
Author(s):  
Emma K. Stapp ◽  
Stacey C. Williams ◽  
Luther G. Kalb ◽  
Calliope B. Holingue ◽  
Kathryn Van Eck ◽  
...  
2018 ◽  
Vol 213 (5) ◽  
pp. 645-653 ◽  
Author(s):  
Georgina M. Hosang ◽  
Helen L. Fisher ◽  
Karen Hodgson ◽  
Barbara Maughan ◽  
Anne E. Farmer

BackgroundThe medical burden in mood disorders is high; various factors are thought to drive this pattern. Little research has examined the role of childhood maltreatment and its effects on medical morbidity in adulthood among people with unipolar depression and bipolar disorder.AimsThis is the first study to explore the association between childhood maltreatment and medical morbidity in bipolar disorder and in unipolar depression, and examine whether the impact of abuse and neglect are distinct or combined.MethodThe participants consisted of 354 psychiatrically healthy controls, 248 participants with recurrent unipolar depression and 72 with bipolar disorder. Participants completed the Childhood Trauma Questionnaire and received a validated medical history interview.ResultsAny type of childhood maltreatment, child abuse and child neglect were significantly associated with the medical burden in bipolar disorder, but not unipolar depression or for controls. These associations worked in a dose–response fashion where participants with bipolar disorder with a history of two or more types of childhood maltreatment had the highest odds of having a medical illness relative to those without such history or those who reported one form. No such significant dose–response patterns were detected for participants with unipolar depression or controls.ConclusionsThese findings suggest that childhood maltreatment may play a stronger role in the development of medical illnesses in individuals with bipolar disorder relative to those with unipolar depression. Individuals who had been maltreated with a mood disorder, especially bipolar disorder may benefit most from prevention and intervention efforts surrounding physical health.Declaration of interestNone.


Author(s):  
Georgina M. Hosang ◽  
Helen L. Fisher ◽  
Rudolf Uher ◽  
Sarah Cohen-Woods ◽  
Barbara Maughan ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. S85-S85
Author(s):  
K. Aaltonen ◽  
T. Rosenström ◽  
I. Baryshnikov ◽  
B. Karpov ◽  
T. Melartin ◽  
...  

IntroductionSubstantial evidence supports association between childhood maltreatment and suicidal behaviour, however, a limited number of studies have examined psychological mechanisms mediating the relationship among patients with mood disorders.ObjectiveTo investigate directly the potential intermediating mechanisms between childhood maltreatment and suicidal behaviour among patients with mood disorders.AimsWe examine by formal mediation analyses, if:– the effect of childhood maltreatment on suicidal behaviour is mediated through borderline personality disorder traits;– the mediation effect differs between lifetime suicidal ideation and lifetime suicide attempts.MethodsDepressive disorder and bipolar disorder (ICD-10-DCR) patients (n = 287) from the Helsinki university psychiatric consortium (HUPC) Study were surveyed on self-reported childhood experiences, current depressive symptoms, borderline personality disorder traits and lifetime suicidal behaviour. Psychiatric records served to complement the information on suicide attempts.ResultsThe influence of childhood maltreatment on lifetime suicidal ideation and lifetime suicide attempts showed comparable total effects. In formal mediation analyses, borderline personality disorder traits mediated all of the total effect of childhood maltreatment on lifetime suicide attempts, but only 21% of the total effect on lifetime suicide ideation. The mediation effect was stronger for lifetime suicide attempts compared to ideation (P = 0.002) and independent of current depressive symptoms.ConclusionsThe mechanisms of the effect of childhood maltreatment on suicidal ideation and attempts may diverge among psychiatric patients with mood disorders. Borderline personality disorder traits may contribute to these mechanisms, although the influence appears considerably stronger for suicide attempts than for suicide ideation.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2019 ◽  
Vol 6 (4) ◽  
pp. 318-326 ◽  
Author(s):  
Nils Opel ◽  
Ronny Redlich ◽  
Katharina Dohm ◽  
Dario Zaremba ◽  
Janik Goltermann ◽  
...  

2016 ◽  
Vol 70 (6) ◽  
pp. 589-595 ◽  
Author(s):  
Sabrina C Selk ◽  
Janet W Rich-Edwards ◽  
Karestan Koenen ◽  
Laura D Kubzansky

2021 ◽  
Author(s):  
Taylor Austin Braund ◽  
May The Zin ◽  
Tjeerd W. Boonstra ◽  
Quincy J. J. Wong ◽  
Mark E. Larsen ◽  
...  

BACKGROUND Mood disorders are burdensome illnesses that often go undetected and untreated. Sensor technologies within smartphones may provide an opportunity for identifying the early changes in circadian rhythm and social support/connectedness that signify the onset of a depressive or manic episode. OBJECTIVE Using smartphone sensor data, this study investigated the relationship between circadian rhythm, determined by Global Positioning Systems (GPS) data, and symptoms of mental health among a clinical sample of adults diagnosed with Major Depressive Disorder (MDD) or Bipolar Disorder (BD). METHODS A total of 121 participants were recruited from a clinical setting to take part in a ten-week observational study. Self-report questionnaires for mental health outcomes, social support, social connectedness, and quality of life were assessed at six timepoints throughout the study period. Participants consented to passively sharing their smartphone GPS data for the duration of the study. Circadian rhythm (i.e., regularity of location changes in a 24-hour rhythm) was extracted from GPS mobility patterns at baseline. RESULTS While we found no association between circadian rhythm and mental health functioning at baseline, there was a positive association between circadian rhythm and the size of participants social support network at baseline (r = .22, p = .030, R2 = .049). In participants with BD, circadian rhythm was associated with change in anxiety from baseline, whereby higher circadian rhythm was associated with an increase in anxiety and lower circadian rhythm was associated with a decrease in anxiety at timepoint five. CONCLUSIONS Circadian rhythm, extracted from smartphone GPS data, was associated with social support and predicted changes in anxiety in a clinical sample of adults with mood disorders. Larger studies are required for further validations. However, smartphone sensing may have the potential to monitor early symptoms of mood disorders.


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