Addressing mental health issues amid the COVID-19 pandemic: a wake-up call

Gong, Yan; Liu, Xiaoxing; Su, Shihao; Bao, Yanping; Kosten, Thomas R.; Lü, Lin

doi:10.1016/j.scib.2022.10.022

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Cognitive function was measured by objective assessment via the validated Chinese version of Montreal Cognitive Assessment (MoCA) [24] and subjective assessment via the abbreviated Cognitive Failure Questionnaire-14 (CFQ-14) [25]. The MoCA evaluates global cognitive function with a total score of 0-30, which was interpreted as follows: normal cognitive function (26)(27)(28)(29)(30), mild (18)(19)(20)(21)(22)(23)(24)(25), moderate (10)(11)(12)(13)(14)(15)(16)(17) and severe (0-9) cognitive impairment. The CFQ-14 measures daily life cognitive failures, which has 14 questions with a 5-point Likert scale resulting in a factored score ranging from 0-100, with a score of ≥43 indicating cognitive failures [26].…”

Section: Measurement Of Long-term Covid-19 Sequelaementioning

confidence: 99%

“…The recent definition of post-COVID-19 from WHO includes fatigue, dyspnea and cognitive dysfunction as three most common symptoms [ 12 ]. Moreover, stressful medical care, long hospital stays with numerous restrictions on mobility and social isolation, and stigma can contribute a few people to experiencing the lingering mental symptoms including depression, anxiety, insomnia and post-traumatic stress disorder (PTSD) symptoms [ 3 – 5 , 7 , 13 – 18 ].…”

Section: Introductionmentioning

confidence: 99%

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The phenotype and prediction of long-term physical, mental and cognitive COVID-19 sequelae 20 months after recovery, a community-based cohort study in China

Shi

Jiang

et al. 2023

Mol Psychiatry

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Long-term sequelae clustering phenotypes are important for precise health care management in COVID-19 survivors. We reported findings for 1000 survivors 20 months after diagnosis of COVID-19 in a community-based cohort in China. Sequelae symptoms were collected from a validated questionnaire covering 27 symptoms involved in five organ systems including self-reported physical condition, dyspnea, cognitive function and mental health. The generalized symptoms were reported with the highest rate (60.7%), followed by the mental (48.3%), cardiopulmonary (39.8%), neurological (37.1%; cognitive impairment, 15.6%), and digestive symptoms (19.1%). Four clusters were identified by latent class analysis: 44.9% no or mild group (cluster 1), 29.2% moderate group with mainly physical impairment (cluster 2), 9.6% moderate group with mainly cognitive and mental health impairment (cluster 3), and 16.3% severe group (cluster 4). Physical comorbidities or history of mental disorders, longer hospitalization periods and severe acute illness predicted severe group. For moderate group, adults less than 60 years, with physical comorbidities and severe acute illness were more likely to have physical symptoms, while adult women with longer hospitalization stays had increased risk of cognitive and mental health impairment. Overall, among more than half of community COVID-19 survivors who presented moderate or severe sequelae 20 months after recovery, three-tenth had physical vulnerability that may require physical therapy aiming to improve functioning, one-tenth mental or cognitive vulnerable cases need psychotherapy and cognitive rehabilitation, and one-sixth severe group needs multidisciplinary clinical management. The remaining half is free to clinical intervention. Our findings introduced an important framework to map numerous symptoms to precise classification of the clinical sequelae phenotype and provide information to guide future stratified recovery interventions.

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Section: Measurement Of Long-term Covid-19 Sequelaementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The phenotype and prediction of long-term physical, mental and cognitive COVID-19 sequelae 20 months after recovery, a community-based cohort study in China

Shi

Jiang

et al. 2023

Mol Psychiatry

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“…Rather than averaging over many NAS within a dimension, the rCCA method selects the specific items most tightly linked to patterns of connectivity. While the pandemic has led to a range of enduring mental health effects among vulnerable populations and the general public, with a particular impact on college students [ 58 – 60 ], this study underscores anxiety and stress as the primary potential challenges for public mental health.…”

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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“…Psychosomatic issues refer to physical symptoms that are caused or exacerbated by psychological factors such as stress, anxiety, and depression ( Gong et al, 2022 ; Huang et al, 2023 ). Up to 84% of COVID-19 hospitalized patients have neurological symptoms, according to a series of studies from China and France ( Helms et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Addressing psychosomatic issues after lifting the COVID-19 policy in China: A wake-up call

Zhong¹,

Huang²,

Zhang³

et al. 2023

Asian Journal of Psychiatry

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Addressing mental health issues amid the COVID-19 pandemic: a wake-up call

Cited by 5 publications

References 19 publications

The phenotype and prediction of long-term physical, mental and cognitive COVID-19 sequelae 20 months after recovery, a community-based cohort study in China

The phenotype and prediction of long-term physical, mental and cognitive COVID-19 sequelae 20 months after recovery, a community-based cohort study in China

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

Addressing psychosomatic issues after lifting the COVID-19 policy in China: A wake-up call

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