Tag: anxiety

Post-COVID-19 condition and persisting symptoms in English schoolchildren: repeated surveys to March 2022

Abstract:

Background: Both post-COVID-19 condition (long COVID) and the presence of persisting symptoms that do not meet formal definitions of post-COVID-19-condition may adversely affect quality of life and function. However, their prevalence among children and young people in England is unclear.

Methods: We used data from repeated surveys in a large cohort of English schoolchildren from the COVID-19 Schools Infection Survey (SIS) for the school year 2021/22 to describe the weighted prevalence of post-COVID-19-condition and compare persisting symptoms between individuals with a positive SARS-CoV-2 test and those with neither a positive test history nor suspected infection.

Results: Among 7797 children from 173 schools, 1.8% of primary school pupils (aged 4 to 11 years), 4.5% of secondary school pupils in years 7-11 (aged 11 to 16 years) and 6.9% of those in years 12-13 (aged 16 to 18 years) met a definition of post-COVID-19 condition in March 2022. Specific persisting symptoms such as anxiety or difficulty concentrating were frequently reported regardless of prior infection status and increased with age: 48.0% of primary school pupils, 52.9% of secondary school pupils in years 7-11 and 79.5% in years 12-13 reporting at least one symptom lasting more than 12 weeks. Persisting loss of smell and taste, cardiovascular and some systemic symptoms were more frequently reported by those with a previous positive test.

Conclusions: We showed that ongoing symptoms were frequently reported by English schoolchildren regardless of SARS-CoV-2 test results and some specific symptoms such as loss of smell and taste were more prevalent in those with a positive test history. Our study emphasises the wide-ranging impacts of the COVID-19 pandemic on the health and wellbeing of children and young people.

Source: Warren-Gash C, Lacey A, Cook S, Stocker D, Toon S, Lelii F, Ford B, Ireland G, Ladhani SN, Stephenson T, Nguipdop-Djomo P, Mangtani P; COVID-19 Schools Infection Survey 2 Study Group. Post-COVID-19 condition and persisting symptoms in English schoolchildren: repeated surveys to March 2022. BMC Infect Dis. 2023 Apr 5;23(1):201. doi: 10.1186/s12879-023-08203-1. PMID: 37020190; PMCID: PMC10075149. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075149/ (Full text)

Neurocognitive and psychiatric symptoms following infection with COVID-19: Evidence from laboratory and population studies

Abstract:

Objective: The objective of the current investigation was to examine associations between symptomatic COVID-19 history, neurocognitive function, and psychiatric symptoms using cognitive task performance, functional brain imaging, and a prospective population survey.

Methods: Study 1 was a laboratory study conducted between 3 May 2022 and 16 Nov 2022 involving 120 fully vaccinated community dwelling adults between 18 and 84 years of age (Mage = 31.96 (SD = 20.71), 63.3% female). In this cross-sectional study we examined the association between symptomatic COVID-19 infection history and performance on three computer tasks assessing cognitive function (Flanker interference, delay discounting and simple reaction time) and measured oxygen saturation within the prefrontal cortex using functional near infrared spectroscopy (fNIRS). Study 2 was a 2-wave population survey undertaken between 28 September 2021 and 21 March 2022, examining the prospective relationship between symptomatic COVID-19 and self-reported symptoms of cognitive dysfunction, depressive symptoms, anxiety symptoms, and agitation at 6-month follow up. The sample (N = 2,002, M age = 37.0, SD = 10.4; 60.8% female) was collected using a quota process to ensure equal numbers of vaccinated and unvaccinated individuals. Structural equation modelling with latent variables was performed on the population-level data, evaluating the fit of the proposed mediational model of symptomatic COVID-19 to psychiatric symptoms through cognitive dysfunction.

Results: Findings from Study 1 revealed significant effects of symptomatic COVID-19 history on Flanker interference and delay discounting. Effects on flanker performance were significantly stronger among older adult women (effect: 9.603, SE = 4.452, t = 2.157, p = .033), and were accompanied by task-related changes cerebral oxygenation at the right superior frontal gyrus (F (1, 143.1) = 4.729, p = .031). Additionally, those with a symptomatic COVID-19 infection history showed evidence of amplified delay discounting (coefficient = 0.4554, SE = 0.2208, t = 2.0629, p = .041). In Study 2, baseline symptomatic COVID-19 history was associated with self-reported cognitive dysfunction and a latent variable reflecting psychiatric symptoms of anxiety, depression and agitation at follow-up. Mediational analyses revealed evidence of cognitive mediation of clinically significant psychiatric outcomes: depression (indirect effect = 0.077, SE = 0.026, p = .003) and generalized anxiety (indirect effect = 0.060, SE = 0.021, p = .004).

Conclusions: Converging findings from laboratory and population survey data support the conclusion that symptomatic COVID-19 infection is associated with task-related, functional imaging and self-reported indices of cognitive dysfunction as well as psychiatric symptoms. In some cases, these findings appear to be more amplified among women than men, and among older women than younger.

Source: Hall PA, Ayaz H, Meng G, Hudson A, Sakib MN, Quah ACK, Agar TK, Lee JA, Boudreau C, Fong GT. Neurocognitive and psychiatric symptoms following infection with COVID-19: Evidence from laboratory and population studies. Brain Behav Immun Health. 2023 Mar;28:100595. doi: 10.1016/j.bbih.2023.100595. Epub 2023 Jan 24. PMID: 36713476; PMCID: PMC9870612. https://www.sciencedirect.com/science/article/pii/S2666354623000091?via%3Dihub (Full study)

Sleep Disorders in Post-COVID Syndrome: A Psychiatric or Neurological Problem?

Abstract:

The coronavirus pandemic that began in 2019 continues. COVID-19 adversely affects human health not only in the acute, but also in the long-term period of the disease: in a large percentage of cases, health is not fully restored after long periods, requires medical intervention, and is often difficult to correct.

Researchers noted during the first wave of the pandemic in 2020 that about 10-20% of patients did not fully recover by three weeks from disease onset and the possible duration of the recovery period remains insufficiently clear, as do the reasons for differences in course during this period. Prolonged recovery after viral infection is not a feature exclusive to COVID-19, which does not facilitate the management of patients with post-COVID syndrome (PCS).

The mental health impact of COVID-19 is significant, with at least 30% of recovered patients likely to have symptoms of anxiety and/or depression after the acute phase has passed. Since the onset of COVID-19, there has been an increase in sleep disorders by 42%, with every third COVID-19 survivor reporting sleep complaints. In PCS, this condition is referred to as coronasomnia.

The success of therapy for this condition depends on identifying and correcting patients’ mental disorders, as anxiety and depression are often accompanied by sleep disorders this results in a bidirectional interaction between mental disorders and sleep quality. This article presents data on the anti-anxiety drugs Noofen and Adaptol, which help to correct the manifestations of PCS with sleep disorders.

Source: Kotova OV, Medvedev VE, Poluektov MG, Belyaev AA, Akarachkova ES. Sleep Disorders in Post-COVID Syndrome: A Psychiatric or Neurological Problem? Neurosci Behav Physiol. 2023;53(1):16-20. doi: 10.1007/s11055-023-01385-w. Epub 2023 Mar 11. PMID: 36969358; PMCID: PMC10006556. https://link.springer.com/article/10.1007/s11055-023-01385-w (Full text available as PDF file)

 

Social support, distress and well-being in individuals experiencing Long-COVID: a cross-sectional survey study

Abstract:

Objectives: Increasingly attention of the COVID-19 pandemic is directed towards its long-term effects, also known as Long-COVID. So far, Long-COVID was examined mainly from a medical perspective, leaving psychosocial effects of Long-COVID understudied. The present study advances the current literature by examining social support in the context of Long-COVID. The study not only examines received support reported by individuals with Long-COVID, but also provided support reported by relatives of individuals with Long-COVID.

Design: Cross-sectional study.

Setting: The study was conducted from June to October 2021 in Austria, Germany and the German-speaking part of Switzerland.

Participants: We examined 256 individuals with Long-COVID (MAge=45.05 years, 90.2% women) and 50 relatives of individuals with Long-COVID (MAge=48.34 years, 66.1% female) in two separate online surveys, assessing social support, well-being and distress.

Primary outcome measures: Primary outcomes were positive and negative affect, anxiety and depressive symptoms and perceived stress.

Results: For individuals with Long-COVID, receiving emotional support was related to higher well-being (positive affect: b=0.29, p<0.01; negative affect: b=-0.31, p<0.05) and less distress (anxiety: b=-1.45, p<0.01; depressive symptoms: b=-1.04, p<0.05; perceived stress: b=-0.21, p<0.05) but no effects emerged for receiving practical support. For relatives of individuals with Long-COVID, providing emotional support was only related to lower depressive symptoms (b=-2.57, p<0.05). Again, provided practical support was unrelated to the outcomes considered.

Conclusions: Emotional support is likely to play an important role in well-being and distress of patients and relatives, whereas practical support does not seem to make a difference. Future research should clarify under what conditions different kinds of support unfold their positive effects on well-being and distress in the context of Long-COVID.

Source: Lüscher J, Scholz U, Bierbauer W. Social support, distress and well-being in individuals experiencing Long-COVID: a cross-sectional survey study. BMJ Open. 2023 Mar 22;13(3):e067166. doi: 10.1136/bmjopen-2022-067166. PMID: 36948566; PMCID: PMC10039976. https://bmjopen.bmj.com/content/13/3/e067166 (Full text)

Presence of depression and anxiety with distinct patterns of pharmacological treatments before the diagnosis of chronic fatigue syndrome: a population-based study in Taiwan

Abstract:

Objective: An increased prevalence of psychiatric comorbidities (including depression and anxiety disorder) has been observed among patients with chronic fatigue syndrome (CFS). However, few studies have examined the presence of depression and anxiety disorder before the diagnosis of CFS. This study aimed to clarify the preexisting comorbidities and treatments associated with patients with subsequent CFS diagnosis in a population-based cohort in Taiwan.

Methods: An analysis utilizing the National Health Insurance Research Database of Taiwan was conducted. Participants included were 6303 patients with CFS newly diagnosed between 2000 and 2010 and 6303 age-/sex-matched controls.

Results: Compared with the control group, the CFS group had a higher prevalence of depression and anxiety disorder before the diagnosis of CFS. Sampled patients who took specific types of antidepressants, namely, selective serotonin reuptake inhibitors (adjusted odds ratio [aOR] = 1.21, 95% confidence interval [CI] 1.04-1.39), serotonin antagonists and reuptake inhibitors (SARI; aOR = 1.87, 95% CI 1.59-2.19), and tricyclic antidepressants (aOR = 1.46, 95% CI 1.09-1.95), had an increased risk of CFS. CFS risk was also higher among participants taking benzodiazepine, muscle relaxants, and analgesic drugs.

A sub-group analysis revealed that SARI use was related to an increased risk of CFS in the depression, anxiety disorder, male, and female groups. In the depression and anxiety disorder groups, analgesic drug use was associated with an increased CFS risk. Nonpharmacological treatment administration differed between men and women.

Conclusion: This population-based retrospective cohort study revealed an increased risk of CFS among populations with preexisting depression and anxiety disorder, especially those taking SARI and analgesic drugs.

Source: Chen C, Yip HT, Leong KH, Yao WC, Hung CL, Su CH, Kuo CF, Tsai SY. Presence of depression and anxiety with distinct patterns of pharmacological treatments before the diagnosis of chronic fatigue syndrome: a population-based study in Taiwan. J Transl Med. 2023 Feb 8;21(1):98. doi: 10.1186/s12967-023-03886-1. PMID: 36755267; PMCID: PMC9907887. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907887/ (Full text)

Post-acute sequelae of COVID-19 infection

Highlights:

• Higher post-acute depression/anxiety, DVT & fibromyalgia among COVID-19 patients.
• Higher lung disease and sleep disturbance, when acute-phase hospitalized included.
• No higher risk observed for CVA, MI, HTN, AKI, IHD or diabetes.

Abstract:

To determine if people infected with SARS-CoV-2 were at higher risk of developing selected medical conditions post-recovery, data were extracted from the database of a large health maintenance organization (HMO) in Israel between March 2020 and May 2021. For each condition, a condition-naïve group prior to COVID-19 (PCR-positive) infection were compared to a condition-naïve, non-COVID-19 infected group, matched by gender, age, socioeconomic status, minority group status and number of months visited primary care physician (PCP) in previous year. Diagnosis and recuperation dates for each COVID-19 infected participant were applied to their matched comparison participant (1:1 ratio). Incidence of each condition was measured between date of recuperation and end of study period for each group and Cox regression models developed to determine hazard ratios by group status, controlling for demographic and health variables.

Crude and adjusted incidence rates were higher for the COVID-19 infected group than those not infected with COVID-19 for treatment for depression/anxiety, sleep disturbance, diagnosis of deep venous thrombosis, lung disease and fibromyalgia. Differences in incidence were no longer observed between the two groups for treatment of sleep disturbance, and diagnosis of lung disease when those hospitalized during the acute-phase of illness (any reason) were excluded. No difference was found by COVID-19 infection status for post-acute incidence of diabetes, cerebrovascular accident, myocardial infarction, acute kidney disease, hypertension and ischemic heart disease.

Patients post- COVID-19 infection should be evaluated for depression, anxiety, sleep disturbance, DVT, lung disease and fibromyalgia.

Source: Kertes Jennifer, Shapiro Ben David Shirley,  Porath Avib et al. Post-acute sequelae of COVID-19 infection. Preventive Medicine Reports. Available online 21 December 2022, 102097. https://www.sciencedirect.com/science/article/pii/S2211335522004041 (Full text)

Predictors of Chronic Fatigue Syndrome and Mood Disturbance After Acute Infection

Abstract:

Prospective cohort studies following individuals from acute infections have documented a prevalent post-infective fatigue state meeting diagnostic criteria for chronic fatigue syndrome (CFS) – that is, a post-infective fatigue syndrome (PIFS). The Dubbo Infection Outcomes Study (DIOS) was a prospective cohort following individuals from acute infection with Epstein-Barr virus (EBV), Ross River virus (RRV), or Q fever through to assessment of caseness for CFS designated by physician and psychiatrist assessments at 6 months. Previous studies in DIOS have revealed that functional genetic polymorphisms in both immunological (pro- and anti-inflammatory cytokines) and neurological (the purinergic receptor, P2X7) genes are associated with both the severity of the acute infection and subsequent prolonged illness.

Principal components analysis was applied to self-report data from DIOS to describe the severity and course of both the overall illness and concurrent mood disturbance. Associations between demographics and acute infection characteristics, with prolonged illness course as well as the PIFS outcome were examined using multivariable statistics. Genetic haplotype-driven functional variations in the neuropeptide Y (NPY) gene previously shown to be associated with brain responses to stress, and to trait anxiety were also examined as predictors.

The sample included 484 subjects (51% female, median age 32, IQR 19-44), of whom 90 (19%) met diagnostic criteria for CFS at 6 months. Participants with greater overall illness severity and concurrent mood disturbance in the acute illness had a more prolonged illness severity (HR = 0.39, 95% CI: 0.34-0.46, p < 0.001) and mood disturbance (HR = 0.36, 95% CI: 0.30-0.42, p < 0.001), respectively. Baseline illness severity and RRV infection were associated with delayed recovery.

Female gender and mood disturbance in the acute illness were associated with prolonged mood disturbance. Logistic regression showed that the odds of an individual being diagnosed with PIFS increased with greater baseline illness severity (OR = 2.24, 95% CI: 1.71-2.94, p < 0.001). There was no association between the NPY haplotypes with overall illness severity or mood disturbance either during the acute illness phase or with prolonged illness (p > 0.05). Severe acute infective illnesses predicted prolonged illness, prolonged mood disturbance and PIFS. These factors may facilitate early intervention to manage both PIFS and mood disturbances.

Source: Sandler CX, Cvejic E, Valencia BM, Li H, Hickie IB, Lloyd AR. Predictors of Chronic Fatigue Syndrome and Mood Disturbance After Acute Infection. Front Neurol. 2022 Jul 25;13:935442. doi: 10.3389/fneur.2022.935442. PMID: 35959390; PMCID: PMC9359311. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359311/ (Full text)

The Qigong of Prolong Life With Nine Turn Method Relieve Fatigue, Sleep, Anxiety and Depression in Patients With Chronic Fatigue Syndrome: A Randomized Controlled Clinical Study

Abstract

Background: Chronic fatigue syndrome (CFS) is a complex disease of unknown etiology and mechanism. The purpose of this study was to investigate the effect of Prolong Life with Nine Turn Method (PLWNT) Qigong exercise on CFS focusing on fatigue, sleep quality, depression, and anxiety.

Methods: A total of 90 participants diagnosed with CFS were randomly assigned into two parallel groups: PLWNT and cognitive behavioral therapy (CBT). The participants in the PLWNT or CBT group participated in qigong exercise or cognitive behavior education program, respectively, once a week in-person and were supervised online during the remaining 6 days at home, over 12 consecutive weeks. The primary outcome was fatigue (Multi-dimensional Fatigue Inventory 20 [MFI-20]), and secondary outcomes were sleep quality (Pittsburgh Sleep Quality Index [PSQI]), anxiety, depression (Hospital Anxiety and Depression Scale [HADS]), and changes in the Neuropeptide Y (NPY) of peripheral blood.

Results: The within-group comparisons of the PLWNT and CBT groups revealed significant improvement in both groups in MFI-20, PSQI, and HADS scores (P < 0.05). No significant difference were found between the PLWNT and CBT groups, even though the effective rate of the PLWNT group was 62.22%, which is slightly than 50.00% of the CBT group. The fatigue scores in the PLWNT group were positively correlated with sleep degree (r = 0.315) and anxiety degree (r = 0.333), only anxiety degree (r = 0.332) was found to be positively correlated with fatigue in the CBT group. The analysis of peripheral blood showed that NPY decreased after PLWNT intervention but increased significantly in the CBT.

Conclusion: The PLWNT qigong exercise has potential to be an effective rehabilitation method for CFS symptoms including fatigue, sleep disturbance, anxiety, and depression. Future studies should expand study sample size for in-depth investigation to determine the optimal frequency and intensity of PLWNT qigong intervention in CFS patients. The study was registered in the ClinicalTrials.gov database on April 12, 2018, with registration number NCT03496961.

Source: Xie F, You Y, Guan C, Xu J, Yao F. The Qigong of Prolong Life With Nine Turn Method Relieve Fatigue, Sleep, Anxiety and Depression in Patients With Chronic Fatigue Syndrome: A Randomized Controlled Clinical Study. Front Med (Lausanne). 2022 Jun 30;9:828414. doi: 10.3389/fmed.2022.828414. PMID: 35847786; PMCID: PMC9280429. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280429/ (Full text)

Impacts of online support groups on quality of life, and perceived anxiety and depression in those with ME/CFS: A survey

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating condition that can negatively affect physical and mental health [1,2]. People with ME/CFS report lower perceived levels of social support, which further exacerbate challenges with mental health and has been linked to a higher prevalence of depression and anxiety in this population [3]. There are many mental health benefits associated with participation in in-person support groups; however, it is unknown if these benefits translate to online support groups [5].

Purpose: To examine the perceived impacts of participation in online support groups on depression, anxiety and quality of life among people with ME/CFS.

Results: Responses (n = 76) to an online survey indicated positive and negative experiences with participation in online support groups. Positive experiences included a sense of belonging, validation, supportive friendships and feelings of positively impacting others. Negative experiences included jealousy, decreased hope and optimism and disagreement regarding treatment strategies.

Conclusion: Participation in online support groups was believed to decrease perceived feelings of depression and increase the quality of life in those with ME/CFS. No significant impacts on anxiety were found. Overall, participants reported engagement in online support groups to be a positive experience.

Source: Samantha Morehouse, Krystal Schaible, Olivia Williams, Ellen Herlache-Pretzer & Stacey Webster (2021) Impacts of online support groups on quality of life, and perceived anxiety and depression in those with ME/CFS: a survey, Fatigue: Biomedicine, Health & Behavior, DOI: 10.1080/21641846.2021.1950406

Who should we ask about mental health symptoms in adolescents with CFS/ME? Parent-child agreement on the revised children’s anxiety and depression scale

Abstract:

Background: One in three adolescents with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) have mental health problems. Multi-informant perspectives are key to psychological assessment. Understanding parent-child agreement is crucial to accurate diagnosis, particularly where severe fatigue limits self-report.

Methods: Agreement on the revised children’s anxiety and depression scale (RCADs) was assessed between parents and children with CFS/ME (n = 93) using Bland-Altman plots, cross tabulations and regression analyses.

Results: Diagnostic thresholds were met more frequently based on child-report. Parent- and child-report had similar sensitivity and specificity on RCADS compared to gold-standard diagnostic interviews. Regression analysis found similar accuracy between both reports. For anxiety diagnoses, odds ratio (OR) for child-report was 1.10 (CI = 1.06-1.14), and 1.10 (CI = 1.05-1.14) for parent-report. For depression, OR for child report was 1.26 (CI = 1.11-1.43), while for parent-report is was 1.25 (CI = 1.10-1.41). For total score, OR for child-report was 1.10 (CI = 1.05-1.13) while OR for parent-report was 1.09 (CI = 1.05-1.13).

Conclusions: Reasonable agreement was observed between parent- and child-report of mental health symptoms in paediatric CFS/ME. While parent-report can facilitate psychological evaluation in CFS/ME, this is not a substitute for a child’s own report.

Source: Serafimova T, Loades M, Gaunt D, Crawley E. Who should we ask about mental health symptoms in adolescents with CFS/ME? Parent-child agreement on the revised children’s anxiety and depression scale. Clin Child Psychol Psychiatry. 2021 Feb 15:1359104521994880. doi: 10.1177/1359104521994880. Epub ahead of print. PMID: 33586480.  https://pubmed.ncbi.nlm.nih.gov/33586480/