Anxiety, depression, stress, worry about COVID-19 and fear of loneliness during COVID-19 lockdown in Peru: A network analysis approach

Ventura-León, José; López-Jurado, Renato; Porturas, Emilia; León-Mostacero, Irina; Canchanya-Balbin, Sherily Edith

doi:10.3389/fpubh.2022.946697

Cited by 7 publications

(6 citation statements)

References 59 publications

(49 reference statements)

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“…They found no associations between viral exposure and symptoms, which may support our findings of weak connections between the FCV node with other nodes (63). Furthermore, Ventura-Leon et al (64) revealed that the symptoms of depression and anxiety were the most central symptoms in their network. Meanwhile, they found that the depressive symptoms bridged the symptoms of stress and anxiety (64), which was similar to our network structure.…”

Section: Discussionsupporting

confidence: 78%

“…Furthermore, Ventura-Leon et al (64) revealed that the symptoms of depression and anxiety were the most central symptoms in their network. Meanwhile, they found that the depressive symptoms bridged the symptoms of stress and anxiety (64), which was similar to our network structure. Bridge centrality is usually used to understand comorbidity in network analysis (55).…”

Section: Discussionmentioning

confidence: 99%

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Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis

Xia,

Zhu,

Huang

et al. 2023

Front. Psychiatry

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BackgroundChildhood trauma has been found to have an important impact on mental health. However, little is known regarding the intercorrelations between childhood trauma and mental health during the COVID-19 pandemic. This study aimed to investigate such complex interplay between childhood trauma, depression, anxiety, post-traumatic stress level during the COVID-19 pandemic, and fear of COVID-19 using network analysis.MethodsA total of 1,247 college students were recruited and were asked to complete a series of questionnaires, including the Childhood Trauma Questionnaire, Patient Health Questionnaire, Generalized Anxiety Disorder Scale, Post-traumatic Stress Checklist—Civilian version, and Fear of COVID-19 Scale. The Gaussian graphical model with the scores of the questionnaires as nodes was estimated. The partial correlations between nodes were calculated as edges. Moreover, network comparison tests were conducted to compare the network patterns between participants with high levels of childhood trauma and low levels of childhood trauma.ResultsChildhood trauma was found to be connected to depression, anxiety, and post-traumatic stress level. The node of childhood trauma exhibited the strongest strength and the highest expected influence in the network. Participants with high levels of childhood trauma and participants with low levels of childhood trauma showed comparable network structure and global strength.ConclusionOur findings revealed a complex network pattern between childhood trauma and different mental health problems, indicating that childhood trauma might be a risk factor for mental health during the COVID-19 pandemic.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis

Xia,

Zhu,

Huang

et al. 2023

Front. Psychiatry

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“…Notably, these brain-driven modes ( stress and anxiety ) incorporated NAS across multi-dimensional psychological characteristics consistent with common psychological reactions to the COVID-19 pandemic [ 56 , 57 ]. Mode stress comprised psychological constructs including stress syndrome, burnout, dysfunctional grief, vicarious traumatization, posttraumatic stress symptoms, the impact of traumatic events, and general distress.…”

Section: Discussionmentioning

confidence: 99%

Multivariate patterns of brain functional connectome associated with COVID-19-related negative affect symptoms

Pan,

Wang,

Lan

et al. 2024

Transl Psychiatry

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Severe mental health problems with the representation of negative affect symptoms (NAS) have been increasingly reported during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to explore the multivariate patterns of brain functional connectome predicting COVID-19-related NAS. This cohort study encompassed a group of university students to undergo neuroimaging scans before the pandemic, and we re-contacted participants for 1-year follow-up COVID-related NAS evaluations during the pandemic. Regularized canonical correlation analysis was used to identify connectome-based dimensions of NAS to compute pairs of canonical variates. The predictive ability of identified functional connectome to NAS dimensional scores was examined with a nested cross-validation. Two dimensions (i.e. mode stress and mode anxiety) were related to distinct patterns of brain functional connectome (r2 = 0.911, PFDR = 0.048; r2 = 0.901, PFDR = 0.037, respectively). Mode anxiety was characterized by high loadings in connectivity between affective network (AFN) and visual network (VN), while connectivity of the default mode network with dorsal attention network (DAN) were remarkably prominent in mode stress. Connectivity patterns within the DAN and between DAN and VN, ventral attention network, and AFN was common for both dimensions. The identified functional connectome can reliably predict mode stress (r = 0.37, MAE = 5.1, p < 0.001) and mode anxiety (r = 0.28, MAE = 5.4, p = 0.005) in the cross-validation. Our findings provide new insight into multivariate dimensions of COVID-related NAS, which may have implications for developing network-based biomarkers in psychological interventions for vulnerable individuals in the pandemic.

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“…Moreover, the network approach can also give insights into the specific pathways between external factors and symptom clusters, by including environmental variables within the network (26). For example, studies have used network analysis to identify specific pandemic-related factors (e.g., fear of infection, isolation and loneliness due to the pandemic) that have direct relationship with anxiety and depressive symptoms within a particular culture or society (27)(28)(29)(30)(31). Finally, this approach is useful for detecting core symptoms in the overall network as it reveals the relative degree of connectivity between symptoms (23).…”

Section: Introductionmentioning

confidence: 99%

Identification and comparison of pandemic-to-symptom networks of South Korea and the United States

et al. 2023

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BackgroundThe Coronavirus (COVID-19) pandemic resulted in a dramatic increase in the prevalence of anxiety and depression globally. Although the impact on the mental health of young adults was especially strong, its underlying mechanisms remain elusive.Materials and methodsUsing a network approach, the present study investigated the putative pathways between pandemic-related factors and anxiety and depressive symptoms among young adults in South Korea and the U.S. Network analyses were conducted on cross-country data collected during the COVID-19 lockdown period (n = 1,036). Our model included depression symptoms (PHQ-9), generalized anxiety symptoms (GAD-7), and COVID-19-related factors (e.g., COVID-19-related traumatic stress, pandemic concerns, access to medical/mental health services).ResultsThe overall structure of pandemic-to-symptom networks of South Korea and the U.S. were found to be similar. In both countries, COVID-related stress and negative future anticipation (an anxiety symptom) were identified as bridging nodes between pandemic-related factors and psychological distress. In addition, worry-related symptoms (e.g., excessive worry, uncontrollable worry) were identified as key contributors in maintaining the overall pandemic-to-symptom network in both countries.ConclusionThe similar network structures and patterns observed in both countries imply that there may exist a stable relationship between the pandemic and internalizing symptoms above and beyond the sociocultural differences. The current findings provide new insights into the common potential pathway between the pandemic and internalizing symptoms in South Korea and in the U.S. and inform policymakers and mental health professionals of potential intervention targets to alleviate internalizing symptoms.

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Anxiety, depression, stress, worry about COVID-19 and fear of loneliness during COVID-19 lockdown in Peru: A network analysis approach

Cited by 7 publications

References 59 publications

Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis

Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis

Multivariate patterns of brain functional connectome associated with COVID-19-related negative affect symptoms

Identification and comparison of pandemic-to-symptom networks of South Korea and the United States

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