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with siblings are psychiatrically more vulnerable to exposure risk of COVID-19 and need more attention, especially those with poor parent-child relationship, low resilience and experience of emotional abuse.

The non-only children are more likely to develop the symptoms of anxiety and depression than only children, during the outbreak of COVID-19 in China. The adolescents with siblings are psychiatrically more vulnerable to exposure risk of COVID-19 and need more attention, especially those with poor parent-child relationship, low resilience and experience of emotional abuse.

Evidence regarding whether statin use is associated with depression is inconsistent. Therefore, we performed a meta-analysis to investigate this association.

We searched PubMed, the Cochrane Library, and the EMBASE database, limiting the search to human patients and articles written in English and published by March 31, 2020. The Newcastle-Ottawa scale for observational studies was used to assess study quality. All included studies were evaluated by 2 reviewers independently; any discrepancies were resolved through discussion. Because of the heterogeneity of study populations, a random effects model was used to calculate the pooled effect size. Statistical heterogeneity across studies was assessed using the I

statistic. All analyses were performed using RevMan5 and Comprehensive Meta-Analysis software.

A total of 13 observational (9 cohort, 3 case-control, and 1 cross-sectional) studies conducted in 11 countries and enrolling 5035070 participants were included. Substantial statistical heterogeneity was discovered (I

, 83%). Overall, use of statins was not associated with depression after trim and fill analysis (adjusted pooled odds ratio [OR], 0.87; 95% CI, 0.74-1.02). The finding was consistent in the subgroup analysis, except for studies published before 2013, showing statin use was associated with a lower risk of depression.

High heterogeneity and asymmetry funnel plot of ORs from these studies were observed.

This meta-analysis revealed statin use was not associated with depression. However, high heterogeneity was observed between identified studies, and results were inconsistent in the subgroups of studies published before 2013.

This meta-analysis revealed statin use was not associated with depression. However, high heterogeneity was observed between identified studies, and results were inconsistent in the subgroups of studies published before 2013.

There is a sharp increase in depression in females in mid-adolescence, but we do not understand why. Cognitive theories suggest that people with depression have negative biases in recalling self-referential information. 2-Hydroxybenzylamine We tested whether recall biases were more negative in girls in early and mid-adolescence and were associated with depressive symptoms.

315 young and 263 mid-adolescents (11-12 and 13-15 years) completed a surprise test, assessing recall of social evaluation about the self (self-referential) or another person (other-referential). The short Mood and Feelings Questionnaire measured depressive symptoms. We tested the effects of condition (self-referential/other-referential), valence (positive/negative), gender, and age group on correct recall (hits) and associations with depressive symptoms.

There was no evidence for gender or age differences in positive or negative self-referential recall. Self-referential positive hits were negatively associated with depressive symptoms (adjusted coefficieases, but the association between self-referential negative hits and depressive symptoms was stronger in females. Negative self-referential recall may be a risk factor for depressive symptoms and is a good candidate for longitudinal studies.Epilepsy self-management (ESM) is the summative set of behaviors that people with epilepsy use to cope with seizures and optimize health. This report describes the implementation and evolution of the Managing Epilepsy Well Network Database (MEW DB), an integrated data resource intended to advance knowledge on ESM. The MEW DB utilizes a three-tiered (Tier 1-3) system of data organization, with tiers of data generally increasing in ascending complexity or collection burden. A MEW DB Steering Committee (SC) establishes consensus on planned analyses using a standardized new analysis request template. The data management structure facilitates harmonization and integration of additional data, or to update the database as new data become available. The current MEW DB comprises 1,563 people with epilepsy. Mean age was 39.9 years, 64.9% women (N = 1006), 12.8% African American (N = 170), 22.2% Hispanic (N = 306). On average, individuals have lived with epilepsy since their early 20s and are prescribed between 1 and 2 antiepileptic drugs. The MEW DB spans multiple socio-ecological levels to provide a robust multi-tiered framework for studying ESM. A total of 41 common data elements have been identified through iterative consensus. This integrated database takes advantage of an extensive collective background of archival evidence in ESM and brings together engaged investigators to build a dataset that represents diverse types of individuals with epilepsy, targets health domains important to ESM, and facilitates analyses that would not be possible with sites operating independently. Overall, the MEW DB serves the greater mission of this research collaborative and has potential to advance ESM research.

Cyclic phenomena in epilepsy are well recognized. We investigated a multicenter cohort of unprovoked first seizure presentations to determine whether seizures have a preponderance to occur in a particular time of the day, a particular day of the week, a particular month of the year, day time versus night time, and wakefulness versus sleep.

We retrospectively studied adults who presented with a first-ever unprovoked seizure to the First Seizure Clinic at two tertiary centers in Australia. Seizure onset time was obtained from the emergency department and ambulance documentations. Electro-clinical and neuroimaging findings were reviewed. We used histograms and Poisson regression modeling to determine whether seizures have a preponderance to occur at a particular time and calculated incidence rate ratios (IRR). We performed further analysis on patients with "first seizure epilepsy" and "first seizure not epilepsy" based on the ILAE criteria for a diagnosis of epilepsy after a single unprovoked seizure, as well as comparing patients that could be categorized as having a generalized-onset seizure versus those with focal-onset seizures.