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The Centrality of Depression and Anxiety Symptoms in Major Depressive Disorder Determined Using a Network Analysis
16 references·6 citing·45 second hopsampled
The Centrality of Depression and Anxiety Symptoms in Major Depressive Disorder Determined Using a Network Analysis (2020)The Centrality of Depression and Anxiety …Exploring comorbidity between anxiety and depression among migrant Filipino domestic workers: A network approach (2019)Exploring comorbidity between…The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis (2018)The symptoms at the center: E…Networks of Depression and Anxiety Symptoms Across Development (2018)Networks of Depression and An…Network analysis of depression and anxiety symptom relationships in a psychiatric sample (2016)Network analysis of depressio…Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)Estimating Psychological Netw…A Prospective Study on How Symptoms in a Network Predict the Onset of Depression (2016)A Prospective Study on How Sy…A network analysis of DSM-5 posttraumatic stress disorder symptoms and correlates in U.S. military veterans (2016)A network analysis of DSM-5 p…What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis (2015)What are 'good' depression sy…Association of Symptom Network Structure With the Course of Depression (2015)Association of Symptom Networ…Revealing the dynamic network structure of the Beck Depression Inventory-II (2014)Revealing the dynamic network…Mental Disorders as Causal Systems (2014)Mental Disorders as Causal Sy…qgraph : Network Visualizations of Relationships in Psychometric Data (2012)qgraph : Network Visualizatio…Gradations of clinical severity and sensitivity to change assessed with the Beck Depression Inventory-II in Japanese patients with depression (2005)Gradations of clinical severi…Examination of the utility of the Beck Anxiety Inventory and its factors as a screener for anxiety disorders (2005)Examination of the utility of…Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Comparison of Beck Depression…Further evidence for the validity of the beck anxiety inventory with psychiatric outpatients (1993)Further evidence for the vali…A network model of depressive and anxiety symptoms: a statistical evaluation (2024)A network model of depressive…The associations between depressive symptoms, functional impairment, and quality of life, in patients with major depression: undirected and Bayesian network analyses (2022)The associations between depr…Anhedonia as a transdiagnostic symptom across psychological disorders: a network approach (2022)Anhedonia as a transdiagnosti…Network structure of depression and anxiety symptoms in Chinese female nursing students (2021)Network structure of depressi…Anxiety and depressive symptoms in college students during the late stage of the COVID-19 outbreak: a network approach (2021)Anxiety and depressive sympto…A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression (2021)A Narrative Review of Network…A RATING SCALE FOR DEPRESSION (1960)An Inventory for Measuring Depression (1961)Diagnostic and Statistical Manual of Mental Disorders (2013)Problematic assumptions have slowed down depression research: why symptoms, not syndromes are the way forward (2015)A Complex Network Perspective on Clinical Science (2016)Evidence that psychopathology symptom networks have limited replicability. 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References

  • 1996Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients5,962 cited
  • 2016Estimating Psychological Networks and their Accuracy: A Tutorial Paper5,658 cited
  • 2012qgraph : Network Visualizations of Relationships in Psychometric Data4,889 cited
  • 2016Network analysis of depression and anxiety symptom relationships in a psychiatric sample927 cited
  • 2015Association of Symptom Network Structure With the Course of Depression849 cited
  • 2015What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis751 cited
  • 2014Mental Disorders as Causal Systems591 cited
  • 2014Revealing the dynamic network structure of the Beck Depression Inventory-II371 cited
  • 2016A network analysis of DSM-5 posttraumatic stress disorder symptoms and correlates in U.S. military veterans356 cited
  • 1993Further evidence for the validity of the beck anxiety inventory with psychiatric outpatients318 cited
  • 2005Examination of the utility of the Beck Anxiety Inventory and its factors as a screener for anxiety disorders304 cited
  • 2016A Prospective Study on How Symptoms in a Network Predict the Onset of Depression213 cited
  • 2018The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis212 cited

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2018
Networks of Depression and Anxiety Symptoms Across Development
205 cited
  • 2019Exploring comorbidity between anxiety and depression among migrant Filipino domestic workers: A network approach193 cited
  • 2005Gradations of clinical severity and sensitivity to change assessed with the Beck Depression Inventory-II in Japanese patients with depression176 cited
  • Cited by

    • 2021Network structure of depression and anxiety symptoms in Chinese female nursing students158 cited
    • 2021Anxiety and depressive symptoms in college students during the late stage of the COVID-19 outbreak: a network approach89 cited
    • 2021A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression87 cited
    • 2022Anhedonia as a transdiagnostic symptom across psychological disorders: a network approach73 cited
    • 2024A network model of depressive and anxiety symptoms: a statistical evaluation72 cited
    • 2022The associations between depressive symptoms, functional impairment, and quality of life, in patients with major depression: undirected and Bayesian network analyses67 cited