Exploring comorbidity between anxiety and depression among migrant Filipino domestic workers: A network approach

Garabiles, Melissa R.; Lao, Changshi; Xiong, Yingxin; Hall, Brian J.

doi:10.1016/j.jad.2019.02.062

Cited by 129 publications

(141 citation statements)

References 55 publications

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“…We found that the edges of symptoms motor -anhedonia and hopeless-meaningless have the strongest edge weight, followed by edge weight of symptoms dyspneic-heart sick, worthless-meaningless and over reactive-touchy. These results indicate that the connection of edges within factors in the network has a greater connection than the connection of edges between factors, consisting with previous research results [19,32]. This study also found that the strongest edge of the relationship between disorders is the stress symptom uneasy and depression symptom sad mood.…”

Section: Discussionsupporting

confidence: 89%

“…The intervention of these symptoms could have a good effect to reduce the severity of overall symptoms in the netowork. However, in previous studies depression symptom sad mood [19,37] and depression symptom fatigue [32] have the strongest centrality. Similar to the network results of depression, anxiety, and traumatic stress disorder, symptom feeling blue has the greatest strength in this network [38].…”

Section: Discussionmentioning

confidence: 83%

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Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

Liang

Ren

Luo

et al. 2020

Preprint

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Background: Stress caused by the COVID-19 pandemic is highly correlated with depression and anxiety disorders, and there is currently a lack of understanding of the comorbidity network of these disorders. The purpose of this study is to explore the comorbidity network of depression, anxiety and stress during the COVID-19 pandemic through network analysis.Method: 887 participants are conducted a DASS 21 mental state survey across the country from February 18 to 22 in the outbreak of the COVID-19 pandemic in China. The network analysis method was used to explore the network relationship between these disorders, including the use of indicators of expected influence and bridge expected influence to explain the centrality of the network.Results: The strongest six edges were the connections between the symptoms within each group, including three depressive symptom edges initiative-anhedonia, hopeless-meaningless and worthless-meaningless, one anxiety symptom edge dyspneic-heart sick and two stress symptom edges over reactive-touchy and agitated-relax. Centrality indicators show that symptoms blue, relax, and intolerable have the strongest expected influence centrality. The results show that symptoms intolerable, sad mood and blue have the strongest bridge expected influence centrality.Conclusion: We found that symptoms blue, intolerable and relax are the core ones in the network, while dry and heartsick are less important ones. In addition, symptoms intolerable, sad mood and blue were also found to have the strongest bridge symptoms. Interventions against the core symptoms in this study will be more precise.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 83%

Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

Liang

Ren

Luo

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Preventive strategies for the protection of the mental health of the migrant worker are necessary. A multilevel systemic approach based on the personal characteristics of the migrant worker is indicated for prevention of anxiety-depressive symptoms [144]. In Italy, the "Trans-cultural Psychosomatic Team" was created to provide health care to migrant workers with basic pathologies (e.g., schizophrenia) [145].…”

Section: Discussionmentioning

confidence: 99%

Migrant Workers and Psychological Health: A Systematic Review

et al. 2019

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Migrant workers show an increase in the incidence of serious, psychotic, anxiety, and post-traumatic disorders due to a series of socio-environmental variables, such as loss of social status, discrimination, and separations from the family. The purpose is to elaborate a systematic review and highlight the prevailing psychological pathologies of these workers and categories most at risk. Our research included articles published from 2009 to 2019 on the major databases (Pub Med, Cochrane Library, and Scopus) using a combination of some keywords. The online search indicated 1.228 references. Using inclusion and exclusion criteria, we analyzed 127 articles, in particular 12 reviews and 115 original articles. Principal emerging disorders from the research are depressive syndrome (poor concentration at work, feeling down, or anger and somatization), anxiety, alcohol or substance abuse, and poor sleep quality. This causes low life conditions, which is also due to marginalization from the social context and strenuous work; in fact, migrant workers may suffer verbal or physical abuse, and they are often employed in dangerous, unhealthy jobs. It is therefore essential to increase the role of occupational medicine and promote wellbeing for this vulnerable job category.

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“…Since the network was estimated only using the ICD‐10 diagnostic criteria for a depressive episode, the differences in node strength centralities in our study cannot be discussed. Despite the differences in study samples, our findings were partly consistent with the findings of Garabiles et al ., in that fatigue was the most centrally situated within the network of the Patient Health Questionnaire‐9 items in migrant Filipino domestic workers.…”

Section: Discussionmentioning

confidence: 99%

Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD)

Park

Jang

Xiang³

et al. 2020

Psychiatry Clin Neurosci

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Aim We aimed to estimate the network structures of depressive symptoms using network analysis and evaluated the geographic regional differences in theses network structures among Asian patients with depressive disorders. Methods Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD), the network of the ICD‐10 diagnostic criteria for depressive episode was estimated from 1174 Asian patients with depressive disorders. The node strength centrality of all ICD‐10 diagnostic criteria for a depressive episode was estimated using a community‐detection algorithm. In addition, networks of depressive symptoms were estimated separately among East Asian patients and South or Southeast Asian patients. Moreover, networks were estimated separately among Asian patients from high‐income countries and those from middle‐income countries. Results Persistent sadness, fatigue, and loss of interest were the most centrally situated within the network of depressive symptoms in Asian patients with depressive disorders overall. A community‐detection algorithm estimated that when excluding psychomotor disturbance as an outlier, the other nine symptoms formed the largest clinically meaningful cluster. Geographic and economic variations in networks of depressive symptoms were evaluated. Conclusion Our findings demonstrated that the typical symptoms of the ICD‐10 diagnostic criteria for depressive episode are the most centrally situated within the network of depressive symptoms. Furthermore, our findings suggested that cultural influences related to geographic and economic distributions of participants could influence the estimated depressive symptom network in Asian patients with depressive disorders.

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Exploring comorbidity between anxiety and depression among migrant Filipino domestic workers: A network approach

Cited by 129 publications

References 55 publications

Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

Migrant Workers and Psychological Health: A Systematic Review

Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD)

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Exploring comorbidity between anxiety and depression among migrant Filipino domestic workers: A network approach

Cited by 129 publications

References 55 publications

Comorbidity Network Analysis of Depression, Anxiety and Stress&nbsp;During the COVID-19 Pandemic

Comorbidity Network Analysis of Depression, Anxiety and Stress&nbsp;During the COVID-19 Pandemic

Migrant Workers and Psychological Health: A Systematic Review

Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD)

Contact Info

Product

Resources

About

Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic