Associations between self-disgust, depression, and anxiety: A three-level meta-analytic review

Gao, Shuling; Zhang, Ling; Yao, Xiaoyu; Lin, Jixiang; Meng, Xianxin

doi:10.1016/j.actpsy.2022.103658

Cited by 9 publications

(4 citation statements)

References 43 publications

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“…Functional MRI signals responded in higher intensity among patients with depression to disgust ( 33 ), suggesting impaired functioning in the basal ganglia ( 34 ). Depression is associated with self-disgust ( 35 ), presumably due to altered emotion regulation strategies ( 36 ). In addition to the recognition of and response to external stimuli, the findings of this study concur with the association of expression of disgust and depression.…”

Section: Discussionmentioning

confidence: 99%

Development of depression detection algorithm using text scripts of routine psychiatric interview

Oh,

Lee,

Chung

et al. 2024

Front. Psychiatry

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BackgroundA psychiatric interview is one of the important procedures in diagnosing psychiatric disorders. Through this interview, psychiatrists listen to the patient’s medical history and major complaints, check their emotional state, and obtain clues for clinical diagnosis. Although there have been attempts to diagnose a specific mental disorder from a short doctor-patient conversation, there has been no attempt to classify the patient’s emotional state based on the text scripts from a formal interview of more than 30 min and use it to diagnose depression. This study aimed to utilize the existing machine learning algorithm in diagnosing depression using the transcripts of one-on-one interviews between psychiatrists and depressed patients.MethodsSeventy-seven clinical patients [with depression (n = 60); without depression (n = 17)] with a prior psychiatric diagnosis history participated in this study. The study was conducted with 24 male and 53 female subjects with the mean age of 33.8 (± 3.0). Psychiatrists conducted a conversational interview with each patient that lasted at least 30 min. All interviews with the subjects between August 2021 and November 2022 were recorded and transcribed into text scripts, and a text emotion recognition module was used to indicate the subject’s representative emotions of each sentence. A machine learning algorithm discriminates patients with depression and those without depression based on text scripts.ResultsA machine learning model classified text scripts from depressive patients with non-depressive ones with an acceptable accuracy rate (AUC of 0.85). The distribution of emotions (surprise, fear, anger, love, sadness, disgust, neutral, and happiness) was significantly different between patients with depression and those without depression (p < 0.001), and the most contributing emotion in classifying the two groups was disgust (p < 0.001).ConclusionThis is a qualitative and retrospective study to develop a tool to detect depression against patients without depression based on the text scripts of psychiatric interview, suggesting a novel and practical approach to understand the emotional characteristics of depression patients and to use them to detect the diagnosis of depression based on machine learning methods. This model could assist psychiatrists in clinical settings who conduct routine conversations with patients using text transcripts of the interviews.

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Section: Discussionmentioning

confidence: 99%

Development of depression detection algorithm using text scripts of routine psychiatric interview

Oh,

Lee,

Chung

et al. 2024

Front. Psychiatry

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“…Another recent study showed an increased self-disgust in patients with dermatological conditions such as, psoriasis, hidradenitis suppurativa and lichen sclerosus [ 12 ]. Besides, depression and anxiety were said to correlate significantly with self-disgust [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

Female genital lichen sclerosus is connected with a higher depression rate, decreased sexual quality of life and diminished work productivity

et al. 2023

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Female genital lichen sclerosus is an underdiagnosed, distressing, chronic dermatosis affecting the well-being of women. The aim of this retrospective case-control study was to assess whether the disease is connected with work productivity and activity impairment, depression and decreased sexual quality of life. Fifty-one female patients with genital lichen sclerosus and forty-five healthy women were enrolled to the study and filled out an online survey including: Work Productivity and Activity Impairment: General Health (WPAI:GH), Patient Health Questionnaire-9 (PHQ-9) and The Sexual Quality of Life-Female (SQOL-F) questionnaires. The results showed that women with genital lichen sclerosus are at risk of having a diminished work productivity, are more often screened for depression and have a decreased sexual quality of life. The study highlights the importance of a multidisciplinary approach to treating female genital lichen sclerosus.

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“…The specific aims of our study were as follows: (1) to compare self-disgust between a large clinical sample of patients with BPD and HCs, with the hypothesis that self-disgust will be increased in the patient group; (2) to compare levels of disgust sensitivity, BPD symptoms, emotion dysregulation, and alexithymia, as well as comorbid depressive and anxiety symptoms between patients with BPD and HCs, with the expectation that the level of the above variables would be higher in the patient group; and (3) to assess the associations between self-disgust and the above-mentioned constructs in both groups. Previous studies have shown moderate-to-large associations between self-disgust and depression and anxiety [ 44 ]. Additionally, considering that disgust sensitivity has been associated with both self-disgust and BPD psychopathology [ 9 , 18 , 23 ], and that disgust or contamination-based appraisals are deemed necessary to generate self-disgust [ 21 ], we decided to include this construct in our study.…”

Section: Methodsmentioning

confidence: 99%

Self-disgust in patients with borderline personality disorder. The associations with alexithymia, emotion dysregulation, and comorbid psychopathology

Kot,

Kostecka,

Radoszewska

et al. 2023

bord personal disord emot dysregul

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Background Self-disgust is a negative self-conscious emotion, which has been linked with borderline personality disorder (BPD). However, it has not yet been investigated in relation to both emotion dysregulation and alexithymia, which are recognized as crucial to BPD. Therefore, the aim of our study was to measure these variables and examine the possible mediational role of emotional alterations and comorbid anxiety and depression symptoms in shaping self-disgust in patients with BPD and healthy controls (HCs). Methods In total, the study included 100 inpatients with BPD and 104 HCs. Participants completed: the Self-Disgust Scale (SDS), Disgust Scale – Revised (DS-R), Toronto Alexithymia Scale (TAS-20), Emotion Dysregulation Scale short version (EDS-short), Borderline Personality Disorder Checklist (BPD Checklist), State-Trait Anxiety Inventory (STAI), and Center for Epidemiologic Studies Depression Scale (CESD-R). Results Inpatients with BPD showed higher self-disgust, alexithymia, emotion dysregulation, core and comorbid symptoms levels, and lower disgust sensitivity. Alexithymia, emotion dysregulation, and trait anxiety partially mediated between BPD diagnosis and self-disgust. The relationship between the severity of BPD symptoms and self-disgust was fully mediated by alexithymia, emotion dysregulation, depressive symptoms, and trait anxiety. Conclusions The results of our study may imply the contribution of emotion dysregulation, alexithymia, and comorbid psychopathology to self-referenced disgust in BPD.

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Associations between self-disgust, depression, and anxiety: A three-level meta-analytic review

Cited by 9 publications

References 43 publications

Development of depression detection algorithm using text scripts of routine psychiatric interview

Development of depression detection algorithm using text scripts of routine psychiatric interview

Female genital lichen sclerosus is connected with a higher depression rate, decreased sexual quality of life and diminished work productivity

Self-disgust in patients with borderline personality disorder. The associations with alexithymia, emotion dysregulation, and comorbid psychopathology

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