Adaptations to a cohort study in response to the COVID-19 pandemic: insights from Growing Up in Ireland.

Growing Up in Ireland (GUI) is the national longitudinal study of children and young people in the Republic of Ireland and has followed two cohorts for over ten years to date: Cohort '98 who were recruited into the study at age nine years and Cohort '08, recruited at age nine months. The study aims to describe the lives of Irish children and young people in terms of their development, with a view to positively affecting policies and services available for them. Traditionally, data collection involved in-home visits from an interviewer who conducted face-to-face interviews, recorded physical measurements of study participants and administered cognitive assessments. However, with the onset of the COVID-19 pandemic and the associated restrictions, significant adaptations were required to these methods to ensure data collection for the pilot and main fieldwork for Cohort '08 at age 13 could continue to the expected timeline. Face-to-face interviews with participants were replaced with telephone and web-based modes, interviewer training was conducted online, online resources were made available for interviewers and participants and COVID-19 related items were added to questionnaires. In addition to the scheduled data collection, a special COVID-19 survey was also conducted on both GUI cohorts in December 2020 to explore the impact of the pandemic on participants' lives. This paper outlines the adaptations made to traditional data collection methods in GUI, highlighting the challenges that were met, but also the benefits of some changes that may be worth incorporating into future waves of GUI.

Understanding trends in loneliness during the COVID-19 pandemic in The Netherlands: the moderating role of gender, age, and living arrangement.

Objectives: Evidence suggests that the COVID-19 pandemic and the preventive lockdown measures increased loneliness levels. However, most studies are cross-sectional or rely on a pre-post (pandemic) design. This study relies on multiple observations to analyze the impact of the lockdown on loneliness levels in the Netherlands, and test whether it differed by gender, age, and living arrangement.Methods: Longitudinal data from the Covid-Questionnaire within the Lifelines Cohort Study from the northern Netherlands was used. Data was gathered between March 2020 and July 2021 with a total of 21 waves and 769,526 observations nested in 74,844 individuals. The outcome was a multi-dimensional Loneliness Index. The association between the lockdown period and loneliness levels was estimated using fixed-effects linear regression. Moderation effects were tested by means of two-way interactions.Results: Loneliness levels increased during stricter lockdown periods, and decreased when preventive measures were relaxed. Women and young adults experienced stronger fluctuations in their loneliness levels, whereas living arrangement did not play a notable moderating role.Conclusion: This study calls for special attention to be paid to the public issue of loneliness during periods of lockdown. Women and young adults appear as particularly vulnerable groups during the Covid-19 pandemic.

Relationship between Value-Based Behaviors and Scheduled Activities of University Students before and during the COVID-19 Pandemic: A Longitudinal Cross-Lagged Model.

University students are in a phase during which they have various experiences typical in the academic environment and face situations that require adaptability and influence value formation. In the abnormal situation of the COVID-19 pandemic, university students' life rhythms, academic, interpersonal, and financial situations have changed drastically. In those situational cues, the value-based behavior of university students may have changed. Values provide purpose and direction for each action. Furthermore, values are situational goals that lead to specific real-time behavior. Therefore, this study aimed to examine whether there is a two-way influencing relationship between value-based behavior and scheduled activities of university students at two points in time (before the COVID-19 pandemic and during the COVID-19 pandemic). 417 university students answered a questionnaire at Times 1 and 2 (with a 1-year interval). We examined the relationship between value-based behavior and scheduled activities using a longitudinal cross-lagged model analysis. The findings of this study indicate that promoting value-based behaviors is positively associated with the frequency of value-based behaviors and scheduled activities even during anomalies such as the COVID-19 pandemic. Even in anomalous situations such as the COVID-19 pandemic, increasing value-based behaviors such as behavioral activation can improve the lives of university students. Future intervention studies should show whether behavioral activation is effective in decreasing depressive symptoms among university students even in abnormal situations such as the COVID-19 pandemic.

Pre- and Post-Pandemic Religiosity and Mental Health Outcomes: A Prospective Study.

Relatively few studies have prospectively examined the effects of known protective factors, such as religion, on pandemic-related outcomes. The aim of this study was to evaluate the pre- and post-pandemic trajectories and psychological effects of religious beliefs and religious attendance. Male and female adults (N = 189) reported their beliefs in religious importance (RI) and their religious attendance (RA) both before (T1) and after (T2) the pandemic's onset. Descriptive and regression analyses were used to track RI and RA from T1 to T2 and to test their effects on psychological outcomes at T1 and T2. The participants who reported a decrease in religious importance and attendance were greater in number than those who reported an increase, with RI (36.5% vs. 5.3%) and RA (34.4% vs. 4.8%). The individuals with decreased RI were less likely to know someone who had died from COVID-19 (O.R. =0.4, p = 0.027). The T1 RI predicted overall social adjustment (p < 0.05) and lower suicidal ideation (p = 0.05). The T2 RI was associated with lower suicidal ideation (p < 0.05). The online RA (T2) was associated with lower depression (p < 0.05) and lower anxiety (p < 0.05). Further research is needed to evaluate the mechanisms driving decreases in religiosity during pandemics. Religious beliefs and online religious attendance were beneficial during the pandemic, which bodes well for the use of telemedicine in therapeutic approaches.

[The COVID-19 pandemic-How did it affect the mental health of children?] / Die COVID-19-Pandemie ­ Wie hat sie die Kinderpsyche beeinflusst?

Background: The COVID-19 pandemic has had a substantial impact on the daily life of children and adolescents due to lockdowns, contact restrictions, closings of childcare, schools and leisure facilities. Objective: This article examines the impact of the pandemic on the mental health of children and adolescents in Germany. Material and methods: In the population-based longitudinal COPSY study (COVID-19 and Psychological Health) 1600 parents of children aged 7-17 years old and 1000 children and adolescents aged 11-17 years old completed established questionnaires at 5 online survey points (t1: May and June 2020 to t5: September and October 2022). For comparison, pre-pandemic data were obtained from the representative BELLA study. Results: During the pandemic the portion of children and adolescents, who reported a low health-related quality of life, increased from pre-pandemic 15% to 48% in the first year of the pandemic and improved in year 3 to 27%. This is still substantially above pre-pandemic levels. Similar trajectories were found for mental health problems which rose from 18% (pre-pandemic) to 31% and improved in year 3 to 23%. For anxiety and depression, the changes were similar except that depressive symptoms returned to pre-pandemic levels in year 3. The physical activity of almost one third of the youth was still very low in year 3. Conclusion: The mental health of children and adolescents was ignored during the pandemic for a long time. Now support and allocation of funding is urgently needed to mitigate the negative mental health effects and prevent further impairment by new crises.

Longitudinal assessment and determinants of short-term and longer-term psychological distress in a sample of healthcare workers during the COVID-19 pandemic in Quebec, Canada.

Introduction: Previous research has demonstrated the negative impact of the COVID-19 pandemic emergency on the wellbeing of healthcare workers. However, few research contributions reported a longitudinal evaluation of psychological distress and examined determinants of its duration and course over time. The present study aims to explore the impact of the pandemic emergency on HCWs mental health by adopting a longitudinal design and assessing mental health as combination of overlapping clinical symptoms (post-traumatic stress disorder, depression and anxiety). Methods: Data were collected weekly through a mobile application during and after the first wave of COVID-19 in the province of Quebec, Canada, in 2020. Analysis was conducted on a final sample of 382 participants. Participants were grouped into "resilient" (RES) if they did not manifest clinical-level psychological distress during monitoring, "short-term distress" (STD) if distress exceeded the clinical threshold for 1-3 weeks, and longer-term distress (LTD) if it occurred for four or more weeks, even if not consecutively. Descriptive statistics for all variables were computed for each subgroup (RES, STD and LTD), and pairwise comparisons between each group for every descriptive variable were made using chi square statistics for categorical variables and t-test for continuous variables. Predictors of distress groups (STD and LTD vs RES) were assessed running multinomial hierarchical logistic regression models. Results: In our sample, almost two third (59.4%) HCWs did not manifest moderate or severe distress during the monitoring time. Short-term distress, mostly post-traumatic symptoms that lasted for less than 4 weeks, were the most common distress response, affecting almost one third of participants. Longer psychological distress occurred only in a smaller percentage (12.6%) of cases, as a combination of severe posttraumatic, depressive and anxiety symptoms. Perceived occupational stress was the most significant risk factor; moreover individual, peritraumatic work and family risk and protective factors, were likely to significantly affect the stress response. Discussion: Results tend to provide a more complex and resiliency-oriented representation of psychological distress compared to previous cross-sectional studies, but are in line with stress response studies. Findings allow us to better describe the profiles of distress response in STD and LTD groups. Participants that manifest short term distress experience acute stress reaction in which the interplay between personal, family and professional life events is associated with the stress response. Conversely, longer term distress response in HCWs presents a more complex mental health condition with an higher level of impairment and support needs compared to participants with short-term distress.

Factors influencing the immune response over 15 months after SARS-CoV-2 infection: A longitudinal population-wide study in the Faroe Islands.

BACKGROUND: The durability of SARS-CoV-2 antibody response and the resulting immunity to COVID-19 is unclear. OBJECTIVES: To investigate long-term humoral immunity to SARS-CoV-2. METHODS: In this nationwide, longitudinal study, we determined antibody response in 411 patients aged 0-93 years from two waves of infections (March to December 2020) contributing 1063 blood samples. Each individual had blood drawn on 4-5 occasions 1-15 months after disease onset. We measured total anti-SARS-CoV-2 receptor-binding domain (RBD) antibody using a qualitative RBD sandwich ELISA, IgM, IgG and IgA levels using an quantitative in-house ELISA-based assay  and neutralizing antibodies (NAbs) using an in-house ELISA-based pseudoneutralizing assay. IgG subclasses were analyzed in a subset of samples by ELISA-based assay. We used nonlinear models to study the durability of SARS-CoV-2 antibody responses and its influence over time. RESULTS: After 15 months, 94% still had detectable circulating antibodies, mainly the IgG isotype, and 92% had detectable NAbs. The distribution of IgG antibodies varied significantly over time, characterized by a biphasic pattern with an initial decline followed by a plateau after approximately 7 months. However, the NAbs remained relatively stable throughout the period. The strength of the antibody response was influenced by smoking and hospitalization, with lower IgG levels in smokers and higher levels in hospitalized individuals. Antibody stability over time was mainly associated with male sex and older age with higher initial levels but more marked decrease. CONCLUSIONS: The humoral immune response to SARS-CoV-2 infection varies depending on behavioral factors and disease severity, and antibody stability over 15 months was associated with sex and age.

Longitudinal Assessment of Left Ventricular Function in Patients with Myopericarditis After mRNA COVID-19 Vaccination.

BACKGROUND: Multiple reports have described myopericarditis following mRNA COVID-19 vaccination. However, data on the persistence of subclinical myocardial injury assessed by left ventricular (LV) longitudinal strain (LVLS) is limited. OBJECTIVES: Our aim was to assess LV function longitudinally in our cohort of COVID-19 vaccine-related myopericarditis using ejection fraction (EF), fractional shortening (FS), LVLS, and diastolic parameters. METHODS: Retrospective, single-center review of demographic, laboratory, and management data was performed on 20 patients meeting diagnostic criteria for myopericarditis after mRNA COVID-19 vaccination. Echocardiographic images were obtained on initial presentation (time 0), at a median of 12 days (7.5, 18.5; time 1), and at a median of 44 days (29.5, 83.5; time 2). FS was calculated by M-mode, EF by 5/6 area-length methods, LVLS by utilization of TOMTEC software, and diastolic function by tissue Doppler. All parameters were compared across pairs of these time points using Wilcoxon signed-rank test. RESULTS: Our cohort consisted predominantly of adolescent males (85%) with mild presentation of myopericarditis. The median EF was 61.6% (54.6, 68.0), 63.8% (60.7, 68.3), 61.4% (60.1, 64.6) at times 0, 1, and 2, respectively. Upon initial presentation, 47% of our cohort had LVLS < -18%. The median LVLS was -18.6% (-16.9, -21.0) at time 0, -21.2% at time 1 (-19.4, -23.5) (p = 0.004) and -20.8% (-18.7, -21.7) at time 2 (p = 0.004, as compared to time 0). CONCLUSIONS: Though many of our patients had abnormal strain during acute illness, LVLS improved longitudinally, indicating myocardial recovery. LVLS can be used as marker of subclinical myocardial injury and risk stratification in this population.

Changes in retirement plans in the English older population during the COVID-19 pandemic: The roles of health factors and financial insecurity.

Over the course of 2020 and 2021, the COVID-19 pandemic disrupted lives globally. In the UK, unemployment rate continued to increase during and post-lockdown periods, and job security and financial wellbeing deteriorated. It is important to understand whether individual decisions related to retirement plans have changed systematically as a result of the pandemic, especially among older adults who experienced greater rates of pandemic unemployment. Using the English Longitudinal Study of Ageing, this article examines changes in retirement plans of older adults during the COVID-19 pandemic and estimates the impact of health and financial circumstances on these changes. In June/July 2020, 5% of 2095 participants reported planning earlier retirement, while 9% reported planning later retirement. We found that poor self-rated health and financial insecurity were associated with intentions to postpone retirement. Additional risk of later retirement associated with poor health was detected among those experiencing financial insecurity. In November/December 2020, 7% of 1845 participants reported planning earlier retirement, while 12% reported planning later retirement. We found that poor health was predictive of a lower relative risk of later retirement, while depressive symptomology and financial insecurity predicted a higher relative risk of later retirement. The findings imply a contextual role of health factors in, and a persistent influence of financial insecurity on, retirement planning in the older population.

Effects on Right Ventricular Function One Year after COVID-19-Related Pulmonary Embolism.

The aim of this study was to investigate the presence of subclinical cardiac dysfunction in recovered coronavirus disease 2019 (COVID-19) patients, who were stratified according to a previous diagnosis of pulmonary embolism (PE) as a complication of COVID-19 pneumonia. Out of 68 patients with SARS-CoV-2 pneumonia followed up for one year, 44 patients (mean age 58.4 ± 13.3, 70% males) without known cardiopulmonary disease were divided in two groups (PE+ and PE-, each comprising 22 patients) and underwent clinical and transthoracic echocardiographic examination, including right-ventricle global longitudinal strain (RV-GLS), and RV free wall longitudinal strain (RV-FWLS). While no significant differences were found in the left- or right-heart chambers' dimensions between the two study groups, the PE+ patients showed a significant reduction in RV-GLS (-16.4 ± 2.9 vs. -21.6 ± 4.3%, p < 0.001) and RV-FWLS (-18.9 ± 4 vs. -24.6 ± 5.12%, p < 0.001) values compared to the PE- patients. According to the ROC-curve analysis, RV-FWLS < 21% was the best cut-off with which to predict PE diagnosis in patients after SARS-CoV-2 pneumonia (sensitivity 74%, specificity 89%, area under the curve = 0.819, p < 0.001). According to the multivariate logistic regression model, RV-FWLS < 21% was independently associated with PE (HR 34.96, 95% CI:3.24-377.09, p = 0.003) and obesity (HR 10.34, 95% CI:1.05-101.68, p = 0.045). In conclusion, in recovered COVID-19 patients with a history of PE+, there is a persistence of subclinical RV dysfunction one year after the acute phase of the disease, detectable by a significant impairment in RV-GLS and RV-FWLS. A reduction in RV-FWLS of lower than 21% is independently associated with COVID-related PE.

A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.

The SARS-CoV-2 pandemic is a pressing societal issue today. The German government promotes a contract tracing app named Corona-Warn-App (CWA), aiming to change citizens' health behaviors during the pandemic by raising awareness about potential infections and enable infection chain tracking. Technical implementations, citizens' perceptions, and public debates around apps differ between countries, e. g., in Germany there has been a huge discussion on potential privacy issues of the app. Thus, we analyze effects of privacy concerns regarding the CWA, perceived CWA benefits, and trust in the German healthcare system to answer why citizens use the CWA. In our initial conference publication at ICT Systems Security and Privacy Protection - 37th IFIP TC 11 International Conference, SEC 2022, we used a sample with 1752 actual users and non-users of the CWA and and support for the privacy calculus theory, i. e., individuals weigh privacy concerns and benefits in their use decision. Thus, citizens privacy perceptions about health technologies (e. g., shaped by public debates) are crucial as they can hinder adoption and negatively affect future fights against pandemics. In this special issue, we adapt our previous work by conducting a second survey 10 months after our initial study with the same pool of participants (830 participants from the first study participated in the second survey). The goal of this longitudinal study is to assess changes in the perceptions of users and non-users over time and to evaluate the influence of the significantly lower hospitalization and death rates on the use behavior which we could observe during the second survey. Our results show that the privacy calculus is relatively stable over time. The only relationship which significantly changes over time is the effect of privacy concerns on the use behavior which significantly decreases over time, i. e., privacy concerns have a lower negative effect one the CWA use indicating that it did not play such an important role in the use decision at a later point in time in the pandemic. We contribute to the literature by introducing one of the rare longitudinal analyses in the literature focusing on the privacy calculus and changes over time in the relevant constructs as well as the relationships between the calculus constructs and target variables (in our case use behavior of a contact tracing app). We can see that the explanatory power of the privacy calculus model is relatively stable over time even if strong externalities might affect individual perceptions related to the model.

Menstrual abnormalities after COVID-19 vaccination in the Netherlands: A description of spontaneous and longitudinal patient-reported data.

AIMS: During the COVID-19 vaccination campaigns, the number of reports of menstrual abnormalities increased rapidly. Here, we describe the nature and potential risk factors associated with menstrual abnormalities based on spontaneously reporting data as well as data from a prospective cohort event monitoring (CEM) study as these are poorly studied. METHODS: Reports of menstrual abnormalities received by the Netherlands Pharmacovigilance Centre Lareb in the spontaneous reporting system between February 2021 and April 2022 were summarized. In addition, logistic regression analysis was performed on the reported menstrual abnormalities in the CEM study to assess the association between person characteristics, prior SARS-CoV-2 infection and use of hormonal contraceptives and the occurrence of menstrual abnormalities after vaccination. RESULTS: We analysed over 24 000 spontaneous reports of menstrual abnormalities and over 500 episodes (among 16 929 included women) of menstrual abnormalities in the CEM study. The CEM study showed an incidence of 41.4 per 1000 women aged ≤54 years. Amenorrhoea/oligomenorrhoea and heavy menstrual bleeding collectively accounted for about half of all abnormalities reported. Significant associations were observed for the age group 25-34 years (odds ratio 2.18; 95% confidence interval 1.45-3.41) and the Pfizer vaccine (odds ratio 3.04; 95% confidence interval 2.36-3.93). No association was observed for body mass index and presence of most comorbidities assessed. CONCLUSION: The cohort study showed a high incidence of menstrual disorders among women aged ≤54 years, and this observation was supported by the analysis of spontaneous reports. This suggests that a relation between COVID-19 vaccination and menstrual abnormalities is plausible and should be further investigated.

Trajectories of internalizing symptoms among autistic and nonautistic youth during the COVID-19 pandemic.

The COVID-19 pandemic elicited increases in anxiety and depression in youth, and youth on the autism spectrum demonstrate elevations in such symptoms pre-pandemic. However, it is unclear whether autistic youth experienced similar increases in internalizing symptoms after the COVID-19 pandemic onset or whether decreases in these symptoms were present, as speculated in qualitative work. In the current study, longitudinal changes in anxiety and depression during the COVID-19 pandemic in autistic youth were assessed in comparison to nonautistic youth. A well-characterized sample of 51 autistic and 25 nonautistic youth (ageM = 12.8, range = 8.5-17.4 years, IQ > 70) and their parents completed the Revised Children's Anxiety and Depression Scale (RCADS), a measure of internalizing symptoms, repeatedly, representing up to 7 measurement occasions from June to December 2020 (N ~ 419 occasions). Multilevel models were used to evaluate changes in internalizing symptoms over time. Internalizing symptoms did not differ between autistic and nonautistic youth in the summer of 2020. As reported by youth themselves, internalizing symptoms decreased in autistic youth, both overall and compared to nonautstic peers. This effect was driven by decreases in generalized anxiety, social anxiety, and depression symptoms in autistic youth. Reductions in generalized anxiety, social anxiety, and depression in autistic youth may be due to COVID-19 pandemic-specific differences in response to social, environmental, and contextual changes that unfolded in 2020. This highlights the importance of understanding unique protective and resilience factors that may be evident in autistic individuals in response to broad societal shifts such as those seen in response to COVID-19.

Cognitive impairment in long-COVID and its association with persistent dysregulation in inflammatory markers.

Objective: To analyze the potential impact of sociodemographic, clinical and biological factors on the long-term cognitive outcome of patients who survived moderate and severe forms of COVID-19. Methods: We assessed 710 adult participants (Mean age = 55 ± 14; 48.3% were female) 6 to 11 months after hospital discharge with a complete cognitive battery, as well as a psychiatric, clinical and laboratory evaluation. A large set of inferential statistical methods was used to predict potential variables associated with any long-term cognitive impairment, with a focus on a panel of 28 cytokines and other blood inflammatory and disease severity markers. Results: Concerning the subjective assessment of cognitive performance, 36.1% reported a slightly poorer overall cognitive performance, and 14.6% reported being severely impacted, compared to their pre-COVID-19 status. Multivariate analysis found sex, age, ethnicity, education, comorbidity, frailty and physical activity associated with general cognition. A bivariate analysis found that G-CSF, IFN-alfa2, IL13, IL15, IL1.RA, EL1.alfa, IL45, IL5, IL6, IL7, TNF-Beta, VEGF, Follow-up C-Reactive Protein, and Follow-up D-Dimer were significantly (p<.05) associated with general cognition. However, a LASSO regression that included all follow-up variables, inflammatory markers and cytokines did not support these findings. Conclusion: Though we identified several sociodemographic characteristics that might protect against cognitive impairment following SARS-CoV-2 infection, our data do not support a prominent role for clinical status (both during acute and long-stage of COVID-19) or inflammatory background (also during acute and long-stage of COVID-19) to explain the cognitive deficits that can follow COVID-19 infection.

Invited discussant comments during the UCL-Penn Global COVID Study webinar 'How Do We Trust (Again): Paranoia and Mental Health': part 2 of 2.

Loneliness has been reported by the UCL-Penn Global COVID Study participants throughout the pandemic year, not surprisingly, although this has been an issue that has been manifesting itself even before the pandemic. In identifying loneliness in communities, the built environment industry and professionals have been looking at how good and targeted design in the public realm and master planning can help to firstly design interventions and secondly orchestrate or manage these spaces in a way that helps create opportunities to address loneliness. Furthermore, how these spaces create opportunities for people to both interact with each other but also interact with the space can help connect people together and with nature/biodiversity. In doing so this also helps to create better health outcomes for mental health and wellbeing, as well as physical health and wellbeing. Coronavirus (Covid-19) and the associated lockdown periods have caused people to reconnect with local green spaces and has focused the attention to what these spaces provide in terms of opportunities and benefits for people. As a result, the value placed on these and the expectation of how they will provide value to communities is increasing and will continue to increase in the post-Covid-19 world. Better connected, activated and well-structured public realm and green spaces will be central to the development of projects and schemes for housing, and mixed used schemes in the forthcoming years.

Invited discussant comments during the UCL-Penn Global COVID Study webinar 'How Do We Trust (Again): Paranoia and Mental Health': part 1 of 2.

The article provides commentary on Wong et al.'s investigation of the relationship between schizotypal traits, social mistrust and aggression, mental and physical health outcomes across three waves of data collection commencing in April 2020. The researchers aimed to consider the nature of the relationship between these variables and the stability of these relationships as coronavirus (Covid-19) restrictions fluctuated over time. Their results suggested that loneliness reflects a hub which links the trait variables of schizotypal and social mistrust to aggression and mental and physical health symptoms. Their network did not vary by demographic factors nor wave of data collection, suggesting that stable individual differences were driving results. Their results propose that interventions which increase social connection could provide positive health benefits as well as decreasing aggression (via reductions in social mistrust). Their data contributes to understanding about how schizotypal traits link to outcomes under conditions of social stress.

Evolution of Youth's Mental Health and Quality of Life during the COVID-19 Pandemic in South Tyrol, Italy: Comparison of Two Representative Surveys.

BACKGROUND: The coronavirus disease 2019 pandemic has led to an increase in youth mental health problems worldwide. Studies have revealed substantial variation in the incidence of these problems across different regions. Longitudinal studies of children and adolescents in Italy are lacking. This study aimed to investigate the development of health-related quality of life (HRQoL) and mental health in Northern Italy by comparing surveys conducted in June 2021 and in March 2022. METHODS: A representative, large cross-sectional, online survey investigated HRQoL, psychosomatic complaints, and symptoms of anxiety and depression among 5159 and 6675 children and adolescents in 2021 and 2022, respectively, using the KIDSCREEN-10 index, HBSC symptom checklist, SCARED, CES-DC, and PHQ-2 instruments. Statistical analyses included a multivariate linear regression analysis. RESULTS: Baseline characteristics showed significant differences in demographic variables between the two surveys. Girls and their parents reported a significantly lower HRQoL in 2021 than in 2022. Psychosomatic complaints differed significantly between sexes, and the results showed no decrease in psychosomatic complaints, anxiety, or depression between 2021 and 2022. Predictors of HRQoL, anxiety, depressive symptoms, and psychosomatic complaints in 2022 differed from those in 2021. CONCLUSIONS: The characteristics of the 2021 pandemic, including lockdowns and home schooling, may have contributed to the differences between the two surveys. As most pandemic restrictions ended in 2022, the results confirm the need for measures to improve the mental and physical health of children and adolescents after the pandemic.

Predicting anxiety and depression over 12 months of the COVID-19 pandemic: A machine learning study.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic was associated with substantial increases in anxiety and depressive symptoms. To understand individual risk, we examined a large set of potential risk factors for anxiety and depression in the pandemic context. METHODS: Adults in the United States (N = 1200) completed eight online self-report assessments over 12 months of the COVID-19 pandemic. Area under the curve scores summarized cumulative experiences of anxiety and depression over the assessment period. A machine learning approach to elastic net regularized regression was used to select predictors of cumulative anxiety and depression severity from a set of 68 sociodemographic, psychological, and pandemic-related baseline variables. RESULTS: Cumulative anxiety severity was most strongly explained by stress and depression-related variables (such as perceived stress) and select sociodemographic characteristics. Cumulative depression severity was predicted by psychological variables, including generalized anxiety and depressive symptom reactivity. Being immunocompromised or having a medical condition were also important. CONCLUSIONS: By considering many predictors, findings provide a more complete view than previous studies focused on specific predictors. Important predictors included psychological variables suggested by prior research and variables more specific to the pandemic context. We discuss how such findings can be used in understanding risk and planning interventions.

A three-timepoint network analysis of Covid-19's impact on schizotypal traits, paranoia and mental health through loneliness.

The 2019 coronavirus (Covid-19) pandemic has impacted people's mental wellbeing. Studies to date have examined the prevalence of mental health symptoms (anxiety and depression), yet fewer longitudinal studies have compared across background factors and other psychological variables to identify vulnerable subgroups in the general population. This study tests to what extent higher levels of schizotypal traits and paranoia are associated with mental health variables 6- and 12-months since April 2020. Over 2300 adult volunteers (18-89 years, female = 74.9%) with access to the study link online were recruited from the UK, the USA, Greece and Italy. Self-reported levels of schizotypy, paranoia, anxiety, depression, aggression, loneliness and stress from three timepoints (17 April to 13 July 2020, N1 = 1599; 17 October to 31 January 2021, N2 = 774; and 17 April to 31 July 2021, N3 = 586) were mapped using network analysis and compared across time and background variables (sex, age, income, country). Schizotypal traits and paranoia were positively associated with poorer mental health through loneliness, with no effect of age, sex, income levels, countries and timepoints. Loneliness was the most influential variable across all networks, despite overall reductions in levels of loneliness, schizotypy, paranoia and aggression during the easing of lockdown (time 3). Individuals with higher levels of schizotypal traits/paranoia reported poorer mental health outcomes than individuals in the low-trait groups. Schizotypal traits and paranoia are associated with poor mental health outcomes through self-perceived feelings of loneliness, suggesting that increasing social/community cohesion may improve individuals' mental wellbeing in the long run.