Evaluation of major depression symptom networks using clinician-rated and patient-rated data

Feiten, Jacson Gabriel; Mosqueiro, Bruno Paz; Uequed, Mariana; Passos, Ives Cavalcante; Fleck, Marcelo Pio de Almeida; Caldieraro, Marco Antônio

doi:10.1016/j.jad.2021.05.102

Cited by 7 publications

(8 citation statements)

References 34 publications

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“…This is partly consistent with a previous study that showed sleep symptoms were central within the suicidal ideation networks of both males and females [ 69 ]. However, few studies have investigated suicidal ideation at a dimensional level, and most network studies regard suicidal ideation as a symptom of depression only [ 70 , 71 ], and are therefore, not directly comparable with our study. Our finding that “sleep” and “despair” are central nodes is largely exploratory and is worth further consideration and investigation.…”

Section: Discussioncontrasting

confidence: 72%

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

Guo

Tian

et al. 2023

BMC Psychiatry

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Background Previous studies have investigated the relationships between psychache or meaning in life and suicidal ideation based on sum score of corresponding scale. However, this practice has hampered the fine-grained understanding of their relationships. This network analysis study aimed to conduct a dimension-level analysis of these constructs and the relationships among them in a joint framework, and identify potential intervention targets to address suicidal ideation. Methods Suicidal ideation, psychache, and meaning in life were measured using self-rating scales among 738 adults. A network of suicidal ideation, psychache, and meaning in life was constructed to investigate the connections between dimensions and calculate the expected influence and bridge expected influence of each node. Results “Psychache” was positively linked to “sleep” and “despair”, while “presence of meaning in life” had negative associations with “psychache”, “despair”, and “pessimism”. The most important central nodes were “sleep” and “despair”, and the critical bridge nodes were “presence of meaning in life” and “psychache”. Conclusion These preliminary findings uncover the pathological pathways underlying the relationships between psychache, meaning in life, and suicidal ideation. The central nodes and bridge nodes identified may be potential targets for effectively preventing and intervening against the development and maintenance of suicidal ideation.

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Section: Discussioncontrasting

confidence: 72%

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

Guo

Tian

et al. 2023

BMC Psychiatry

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“…Such results illustrate that strong guilt (“Culpability”) should elicit suicidal ideation in a patient with MDE—and vice-versa. Other studies have found an association between suicidal ideation and guilt [40–42]. This should encourage clinicians managing women with MDE or PPD, to look specifically for guilt in the assessment of suicidal risk.…”

Section: Discussionmentioning

confidence: 85%

Major depressive episode and postpartum depression: A network analysis comparison on the IGEDEPP cohort

et al. 2023

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Introduction Major depression episode (MDE) and postpartum depression (PPD) have the same diagnosis criteria, but dissimilarities may be present regarding the frequency and structure of depressive symptoms. Methods We used data from the IGEDEPP Cohort (France) to examine DSM-5 depressive symptoms in two groups of women: 486 with PPD and 871 with a history of non-perinatal MDE. We compare (i) the frequency of each depressive symptom adjusted for the severity of depression, (ii) the global structure of depressive symptom networks, and (iii) the centrality of each symptom in the two networks. Results Women with PPD were significantly more likely to have appetite disturbance, psychomotor symptoms, and fatigue than those with MDE, while sadness, anhedonia, sleep disturbance, and suicidal ideation were significantly less common. There were no significant differences in the global structure of depressive symptoms of MDE and PPD. However, the most central criterion of the MDE network was “Sadness” while it was “Suicidal ideations” for the PPD network. “Sleep” and “Suicidal ideations” criteria were more central for PPD network, whereas “Culpability” was more important for MDE network than for PPD network. Conclusion We found differences in depressive symptoms expression between PPD and MDE, which justify continuing to clinically distinguish PPD from MDE.

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“…Additionally, in the second network we identified that the symptom of sleep difficulties (D3) presented a cross grouping within the structure of anxiety and depression, which indicated its more comorbid manifestation during the period of the second quarantine. Insomnia and difficulty initiating sleep have been reported to be related to symptoms of worry and depression in older adults (82). This finding has been evidenced in studies conducted in the last quarter of 2020, after the first wave, where the symptom of sleep problems was identified as the most interconnected measure in psychometric networks comprised of symptoms of anxiety, insomnia, and depression (62, 91).…”

Section: Discussionmentioning

confidence: 88%

“…Although this indicator is of an emotional nature, it is more closely related to symptoms of social loneliness, especially lack of companionship (L1). Other network studies found that perceived loneliness was more strongly related to depressive state in adults residing in Switzerland (81), while Feiten et al (82) found that social withdrawal is connected with the emotional state of sadness. Given that high levels of loneliness have been reported during the first two waves of confinement in the UK in conjunction with depressive symptoms, this may reflect that the loss of social connectedness linked to social loneliness leads to less social engagement.…”

Section: Discussionmentioning

confidence: 98%

Psychological impact of COVID-19: A cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database

Ramos-Vera

O'Diana²,

Basauri³

et al. 2023

Front. Psychiatry

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BackgroundThe COVID-19 pandemic and its subsequent health restrictions had an unprecedented impact on mental health, contributing to the emergence and reinforcement of various psychopathological symptoms. This complex interaction needs to be examined especially in a vulnerable population such as older adults.ObjectiveIn the present study we analyzed network structures of depressive symptoms, anxiety, and loneliness from the English Longitudinal Study of Aging COVID-19 Substudy over two waves (Months of June–July and November–December 2020).MethodsFor this purpose, we use measures of centrality (expected and bridge-expected influence) in addition to the Clique Percolation method to identify overlapping symptoms between communities. We also use directed networks to identify direct effects between variables at the longitudinal level.ResultsUK adults aged >50 participated, Wave 1: 5,797 (54% female) and Wave 2: 6,512 (56% female). Cross-sectional findings indicated that difficulty relaxing, anxious mood, and excessive worry symptoms were the strongest and similar measures of centrality (Expected Influence) in both waves, while depressive mood was the one that allowed interconnection between all networks (bridge expected influence). On the other hand, sadness and difficulty sleeping were symptoms that reflected the highest comorbidity among all variables during the first and second waves, respectively. Finally, at the longitudinal level, we found a clear predictive effect in the direction of the nervousness symptom, which was reinforced by depressive symptoms (difficulties in enjoying life) and loneliness (feeling of being excluded or cut off from others).ConclusionOur findings suggest that depressive, anxious, and loneliness symptoms were dynamically reinforced as a function of pandemic context in older adults in the UK.

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Evaluation of major depression symptom networks using clinician-rated and patient-rated data

Cited by 7 publications

References 34 publications

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

Major depressive episode and postpartum depression: A network analysis comparison on the IGEDEPP cohort

Psychological impact of COVID-19: A cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database

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