Characteristics, comorbidities, and correlates of atypical depression: evidence from the UK Biobank Mental Health Survey

Brăilean, Anamaria; Curtis, Jessica; Davis, Katrina; Dregan, Alexandru; Hotopf, Matthew

doi:10.1017/s0033291719001004

Cited by 59 publications

(99 citation statements)

References 46 publications

(94 reference statements)

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“…The lifetime prevalence of depression in females is twice as that in males (9,10). Females with MDD tend to show younger age of onset (11), longer duration (12), more severe and recurrent episodes (13), higher comorbidity of anxiety, lower comorbidity of substance use, greater functional impairment (11), and lower quality of life (14) than male patients. In the clinical symptomatology, females with MDD report higher rates of increased appetite and weight gain, somatic concern, and hypochondriasis than their male counterparts (12,15).…”

Section: Introductionmentioning

confidence: 99%

Gender Differences in Dysfunctional Attitudes in Major Depressive Disorder

et al. 2020

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Background: Dysfunctional attitudes play a key role in the development and prognosis of depression. Gender also plays an important role in many clinical features of major depressive disorder (MDD). This study is aimed at investigating the gender differences in dysfunctional attitudes in patients with MDD. Methods: One hundred and seventy-two patients with MDD and 159 healthy controls (HCs) were enrolled in this study. Dysfunctional attitudes were assessed by the Chinese version of the dysfunctional attitude scale-form A (C-DAS-A) and depression severity was assessed by the 24-item Hamilton rating scale for depression (HAMD 24). The 14-item Hamilton Anxiety Rating Scale (HAMA 14) was used to measure anxiety. Factorial analysis of variance (ANOVA) of gender and diagnosis on C-DAS-A total and factor scores was adopted with age, education, and body mass index (BMI) controlled. Multiple linear regression analyses of DAS were performed in the MDD group. Results: First, the C-DAS-A score in the MDD group was increased significantly than HCs. Second, female patients with MDD showed significantly higher scores in C-DAS-A total and three-factor scores (seeking applause, dependence, and self-determination attitude), while no significant difference between female HCs and male HCs was detected. Third, five variables (age, gender, smoking history, HAMD 24 , and HAMA 14) had predictive effects on and gender showed the greatest contributions to C-DAS-A total and threefactor scores (seeking applause, dependence, and self-determination attitude). Conclusion: Females with MDD may be linked to more severe cognitive distortion than their male counterparts in seeking applause, dependence, and self-determination attitude, supporting the reasonableness for gender-specific psychosocial interventions.

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Section: Introductionmentioning

confidence: 99%

Gender Differences in Dysfunctional Attitudes in Major Depressive Disorder

et al. 2020

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“…The aims of the current study were to identify datadriven subtypes of depressive symptoms in young people (aged [15][16][17][18][19][20][21][22][23][24][25] with MDD and to compare potential . A severe depression with increased appetite (SIA) subtype, severe depression with decreased appetite and insomnia (SDA) subtype and a moderate depression (MOD) subtype were identified in both datasets.…”

Section: Discussionmentioning

confidence: 99%

“…Higher levels of leptin, inflammatory markers (C-reactive protein (CRP), interleukin-6 (IL-6), interleukin 1 receptor antagonist (IL-1RA) and tumor necrosis factor-α (TNF-α)), insulin and higher BMI are associated with the atypical or increased appetite subtype 15,[19][20][21] . Conversely, higher cortisol and ghrelin levels are associated with the more typical subtype characterized by decreased appetite 19,[21][22][23] . In addition, genetic studies have shown that the atypical subtype with increased appetite is associated with a higher polygenic risk score for BMI, leptin and CRP, whereas the typical subtype showed a stronger association with polygenic risk scores for psychiatric disorders such as schizophrenia 24,25 .…”

Section: Introductionmentioning

confidence: 99%

Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlates

et al. 2020

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Depression is a leading cause of burden of disease among young people. Current treatments are not uniformly effective, in part due to the heterogeneous nature of major depressive disorder (MDD). Refining MDD into more homogeneous subtypes is an important step towards identifying underlying pathophysiological mechanisms and improving treatment of young people. In adults, symptom-based subtypes of depression identified using data-driven methods mainly differed in patterns of neurovegetative symptoms (sleep and appetite/weight). These subtypes have been associated with differential biological mechanisms, including immuno-metabolic markers, genetics and brain alterations (mainly in the ventral striatum, medial orbitofrontal cortex, insular cortex, anterior cingulate cortex amygdala and hippocampus). K-means clustering was applied to individual depressive symptoms from the Quick Inventory of Depressive Symptoms (QIDS) in 275 young people (15-25 years old) with MDD to identify symptombased subtypes, and in 244 young people from an independent dataset (a subsample of the STAR*D dataset). Cortical surface area and thickness and subcortical volume were compared between the subtypes and 100 healthy controls using structural MRI. Three subtypes were identified in the discovery dataset and replicated in the independent dataset; severe depression with increased appetite, severe depression with decreased appetite and severe insomnia, and moderate depression. The severe increased appetite subtype showed lower surface area in the anterior insula compared to both healthy controls. Our findings in young people replicate the previously identified symptom-based depression subtypes in adults. The structural alterations of the anterior insular cortex add to the existing evidence of different pathophysiological mechanisms involved in this subtype.

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“…The aims of the current study were to identify data-driven subtypes of depressive symptoms in young people (aged [15][16][17][18][19][20][21][22][23][24][25] with MDD and to compare potential structural brain alterations between these subtypes. The data-driven symptom subtypes found in the YoDA study cohort were in line with the subtypes characterized by opposite neurovegetative symptoms previously identified in adults (11)(12)(13)(14)(15)(16)(17)(18).…”

Section: Discussionmentioning

confidence: 99%

Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlates

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Schmaal

Harrison

et al. 2019

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AbstractBackgroundDepression is a leading cause of burden of disease among young people. Current treatments are not uniformly effective, in part due to the heterogeneous nature of major depressive disorder (MDD). Refining MDD into more homogeneous subtypes is an important step towards identifying underlying pathophysiological mechanisms and improving treatment of young people. In adults, symptom-based subtypes of depression identified using data-driven methods mainly differed in patterns of neurovegetative symptoms (sleep and appetite/weight). These subtypes have been associated with differential biological mechanisms, including immuno-metabolic markers, genetics and brain alterations (mainly in the ventral striatum and insular cortex).MethodsK-means clustering was applied to individual depressive symptoms from the Quick Inventory of Depressive Symptoms (QIDS) in 275 young people (15-25 years old) with MDD to identify symptom-based subtypes, and in 244 young people from an independent dataset (a subsample of the STAR*D dataset). Insula surface area and thickness and ventral striatum volume were compared between the subtypes using structural MRI.ResultsThree subtypes were identified in the discovery dataset and replicated in the independent dataset; severe depression with increased appetite, severe depression with decreased appetite and severe insomnia, and moderate depression. The severe increased appetite subtype showed lower surface area in the anterior insula compared to both healthy controls and the moderate subtype.ConclusionsOur findings in young people replicate the previously identified symptom-based depression subtypes in adults. The structural alterations of the anterior insular cortex add to the existing evidence of different pathophysiological mechanisms involved in this subtype.

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Characteristics, comorbidities, and correlates of atypical depression: evidence from the UK Biobank Mental Health Survey

Cited by 59 publications

References 46 publications

Gender Differences in Dysfunctional Attitudes in Major Depressive Disorder

Gender Differences in Dysfunctional Attitudes in Major Depressive Disorder

Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlates

Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlates

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