Anxiety symptoms and disorders during the COVID-19 pandemic in children and adolescents: Systematic review and meta-analysis

Background and Objectives The COVID-19 pandemic and its associated factors have been shown to affect anxiety levels of young people. We meta-analytically assessed the prevalence of anxiety symptoms and anxiety disorders in children and adolescents during the pandemic, and the predictors and moderating factors influencing anxiety. Methods Multiple databases and registers were searched in this PRISMA and MOOSE-compliant systematic review and meta-analysis (PROSPERO:CRD42021266695) until 27/06/2021. We included individual studies evaluating the prevalence and characteristics of anxiety symptoms or anxiety disorders in children and adolescents (mean age ≤18 years), during the COVID-19 pandemic. Data extraction and quality assessment were carried out by independent authors. Random-effects meta-analyses of the prevalence of anxiety symptoms and anxiety disorders were conducted using Comprehensive Meta-Analysis (CMA) V3. Results 74 articles (total participant sample=478,882) were included (mean age=13.4 years, 52.3% female). The pooled rate of children and adolescents fulfilling diagnostic criteria for anxiety disorders was 13.0% (95%CI=4.9–30.1); the pooled prevalence of anxiety symptoms was 26.5% (95%CI=20.3–33.9). Anxiety symptoms were significantly more prevalent in females than males (B = 0.103, p<.001), significantly higher during the second wave of COVID-19, following July 2020, than during the first wave, prior to June 2020, (Q= 8.136, p=.017), and during school closure (Q= 8.100, p=.014). Quality of included studies was overall moderate. Conclusions There is a high prevalence of anxiety symptoms in children and adolescents during the COVID-19 pandemic, especially amongst females. This study identifies vulnerable groups, risk, and protective factors, which is crucial to developing clinical practice to prevent further mental health deterioration in young people. (AU)

Use of augmented reality in mental health-related conditions: A systematic review.

Objective: Augmented reality (AR) is a relatively new technology that merges virtual and physical environments, augmenting one's perception of reality. AR creates a computer-generated environment that evokes a unique perception of reality, where real and virtual objects are registered with one another, which operates interactively and in real time. Recently, the medical application of AR technology has dramatically increased with other assisted technologies, from training to clinical practice. The ability to manipulate the real environment extensively has given AR interventions an advantage over traditional approaches. In this study, we aim to conduct a systematic review of the use of AR to have a better understanding of how the use of AR may affect patients with mental health-related conditions when combined with gamification. Method: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines by searching Pubmed and Web of Science databases. Results and Conclusion: We identified 48 relevant studies that fulfill the criteria. The studies were grouped into four categories: Neurodevelopmental disorders, anxiety and phobia, psychoeducation & well-being, and procedural & pain management. Our results revealed the effectiveness of AR in mental health-related conditions. However, the heterogeneity and small sample sizes demonstrate the need for further research with larger sample sizes and high-quality study designs.

The effect of problem-solving skills on blood glucose regulation and disease management in children with type 1 diabetes mellitus.

OBJECTIVES: This cross-sectional study examined the relationship between problem-solving skills, glucose regulation, and disease management in children with type 1 diabetes mellitus (T1DM) as well as the role of depression in this association. METHODS: The participants (n=54) were recruited from a diabetes camp. Problem-solving inventory (PSI), Beck depression inventory (BDI), and diabetes self-management profile (DSMP) were administered as tests. Forty-six participants who have been diagnosed with T1DM for at least a year and completed the survey were included in the analyses. Participants were categorized into high and low depression groups based on the median split. Student's t-test was used to detect demographic differences in groups. Linear regression models were used to examine the association between PSI, HbA1c, and DSMP. Regressions for PSI and DSMP were repeated in low and high-depression groups. RESULTS: Of the 46 participants with T1DM, 52 % were female, with a mean age of 13.96 ± 1.94 (range 10-17). Avoidant and monitoring style of problem solving as well as the total score of PSI significantly predicted HbA1c levels. Impulsive and avoidant style of problem solving, problem-solving confidence, and total scores of PSI significantly predicted DSMP (p<0.05). The high depression group had a significantly higher DSMP score than the low depression group (p=0.001), with no difference in HbA1c levels (p=0.968). When the DSMP regressions were repeated, no significant associations were seen in the low depression group. Avoidant style of problem solving, problem-solving confidence, and the total score of PSI significantly predicted DSMP in the high depression group (p<0.005). CONCLUSIONS: Problem solving-skills are essential in children with T1DM for a successful disease management. Depression modulates the association between the problem-solving and self-management profile.

Lower digit length ratio and aggression in adolescents and young adults with boxer's fracture: A case-control study.

Recent evidence shows that a lower second-to-fourth digit ratio (2D:4D), which is a sexually dimorphic trait and the indicator of prenatal testosterone exposure, may be associated with aggressive behaviors. In this cross-sectional, case-control study, we investigated: (1) Are the aggression and impulsivity levels and emotional problems higher? (2) Is the 2D:4D ratio lower in adolescents and young adults who presented with a fifth metacarpal neck fracture (boxer's fracture) compared to controls? (3) Is the digit ratio correlated with aggressive measures in individuals with a fifth metacarpal neck fracture? Seventy-one consecutive patients presented with a fifth metacarpal neck fracture within the age range of 11-25 years old comprised the study group. The control group consisted of 71 age and sex-matched subjects without a history of aggression-related injury. The aggression, impulsiveness, and psychosocial well-being were measured by self-reported questionnaires. 2D:4D was measured by conventional radiography. The 2D:4D ratio was similar between groups, however, when the analyses were conducted separately for sex, females in the study group showed lower 2D:4D than females in the control group (p = 0.001). The aggression level of the study group, measured by the Buss-Perry Aggression Questionnaire was higher than the control group (p = 0.014). The impulsiveness scores on the Barratt Impulsiveness Scale-11 were similar (p = 0.60) and the total difficulty score on the Strengths and Difficulties Questionnaire was higher in the study group (p = 0.009). A lower 2D:4D ratio significantly predicted verbal and total aggression scores (p = 0.036, p = 0.032, respectively). Our findings suggest that females with a history of aggression-related injury have lower 2D:4D, and a lower 2D:4D is correlated with higher aggression levels in both sexes. Understanding and addressing aggression in these patients may help prevent further self-inflicted injuries.

Long-term Behavioral Consequences of the COVID-19 Pandemic for Autistic Individuals and Their Mothers.

Long-term effects of the COVID-19 pandemic on autistic individuals and their families are recently emerging. This study investigated these effects in 40 mother-child dyads by measuring the behavioral problems of autistic individuals (via Aberrant Behavior Checklist) and their mothers' anxiety levels (via Beck Anxiety Inventory) during the pre-pandemic period, one month after, and one year after its onset. One year into the pandemic, aberrant behaviors of autistic individuals worsened only for those whose mothers had high anxiety levels. The continued negative impact of the COVID-19 pandemic on the behavior of autistic individuals is related to their mother's anxiety level, highlighting the need to support maternal mental health in families with individuals with autism.

Population-Based Psychiatric Comorbidity in Children and Adolescents With Autism Spectrum Disorder: A Meta-Analysis.

Psychiatric comorbidity in autism spectrum disorder (ASD) is a subject of critical scientific importance, affecting the quality of life, prognosis, and functional outcomes. The prevalence of psychiatric disorders vary considerably according to variables such as index subject characteristics, study setting, sampling frame, diagnostic methods used, as well as country of geographic origin. To date, most studies comprise clinical or treatment referral samples in tertiary care or subjects enrolled in clinical trials and genetic cohort collections. Such samples carry the potential for overestimation of both the frequency and severity of psychiatric comorbidity. A systematic literature search was performed using PubMed and Web of Science databases restricted to population-based study publications in the English between May 1, 2015, and May 31, 2020. A comprehensive keyword list was generated to investigate co-occurrence of psychiatric disorders in children and adolescents with ASD. A wide range of DSM-5 based disorders such as anxiety, mood, ADHD, intellectual disability/intellectual developmental disorder, eating/feeding, gender dysphoria and sleep-wake disorders were assessed. Initial search revealed a total of 1674 articles after removal of duplicates. Two independent researchers conducted a parallel-blinded screening process to identify the eligible studies based on titles and abstracts; 39 studies were analyzed in the current review. The main findings show prevalence estimates of 22.9% (95% CI: 17.7- 29.2) for intellectual disability; 26.2% (22-31) for attention-deficit hyperactivity disorder; 11.1% (8.6-14.1) for anxiety disorders; 19.7% (11.9-30.7) for sleep disorders; 7% (5.2- 9.3) for disruptive disorders; 2% (1.3- 3.1) for bipolar disorders; 2.7% (1.8- 4.2) for depression; 1.8% (0.4-8.7) for obsessive-compulsive disorder; and 0.6% (0.3-1.1) for psychosis. Psychiatric comorbidity in population-based studies is lower than in clinical and referred samples. However, our results also indicate that the frequency of psychiatric comorbidity in children and adolescents with ASD in the population context is considerable, without the influence of referral bias implicit in clinical and treatment samples. There is a need for better targeted diagnostic tools to detect psychiatric comorbidity in children and youth in future population-based studies, as an essential component in providing care as well as new insights into the nature and mechanisms of its underlying associations. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/], identifier [CRD42021234464].

Predictors of ADHD persistence in elementary school children who were assessed in earlier grades: A prospective cohort study from Istanbul, Turkey.

BACKGROUND: Attention-deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorders among school-age children worldwide. In a more recent follow-up study, Biederman et al. found that 78% of children diagnosed with ADHD between the ages of 6-17 years continued to have a full (35%) or a partial persistence after eleven years. OBJECTIVE: In this study, it was aimed to identify the factors contributing to the persistence of ADHD symptoms in elemantary school children who were prospectively assessed both in their earlier and upper grades. METHODS: The sample was drawn from a previous community-based study where ADHD symptoms in 3696 first/or second graders were examined in regard to their school entry age. Two years after, the families of the children that participated in the initial study were called by phone and invited to a re-evaluation session. Among those who were reached, 154 were consequently eligible and were assessed with Swanson, Nolan and Pelham questionnaire (SNAP-IV), Conners' rating scales (CRS) and the Kiddie schedule for affective disorders and schizophrenia (K-SADS). RESULTS: Of the 154 children, 81 had been evaluated to have "probable ADHD" by the initial interview. Among these 81 children, 50 (61.7%) were indeed diagnosed with ADHD after two years. Initial scores of the teacher reported SNAP-IV inattention subscale predicted the ADHD diagnosis after two years, with an odds ratio of 1.0761 (p = 0.032, Wald: 4.595). CONCLUSIONS: Our results suggest that high inattention symptom scores reported by the teacher in the earlier grades, might predict an ADHD diagnosis in upper grades.

Behavioral Implications of the Covid-19 Process for Autism Spectrum Disorder, and Individuals' Comprehension of and Reactions to the Pandemic Conditions.

During disasters and pandemics, vulnerable populations such as patients with mental conditions are known to be overly influenced. Yet, not much is known about how the individuals with autism spectrum disorder (ASD), one of the most common neurodevelopmental conditions globally with a prevalence of 1%, are affected from health-related disasters, especially the current Covid-19 pandemic. Therefore, we conducted an investigation of how individuals with ASD responded to Covid-19 in terms of comprehension and adherence to implemented measures; changes in their behavioral problems; and how their caregivers' anxiety levels relate with these behavioral changes. Our sample consisted of 87 individuals with ASD (15 girls; ages ranged from 3-29, with an average of 13.96 ± 6.1). The majority of our sample had problems understanding what Covid-19 is and the measures it requires. They also had challenges in implementing social distance and hygiene-related regulations of the pandemic. The majority stopped receiving special education during this period. We observed a Covid-19-related clinical presentation that resembled PTSD in individuals with ASD in terms of increased stereotypies, aggression, hypersensitivity, behavioral problems, and sleep and appetite alterations. All subscales of Aberrant Behavior Checklist (ABC) differed significantly between before and after the pandemic conditions. The number of hours the children slept significantly decreased from before to during Covid-19. The anxiety levels of caregivers were high and correlated with the current behavioral problem levels of their children, but not with the level of their behavioral problems before the pandemic. The difference in ABC total score and specifically the lethargy/social withdrawal subscale score predicted parents' anxiety score. Our results suggest that the Covid-19 period inflicts specific challenges to individuals with ASD and their caregivers, underlining the need for targeted, distance special education interventions and other support services for this population.

Association Between Age of Beginning Primary School and Attention Deficit Hyperactivity Disorder.

OBJECTIVE: In April 2012, the Turkish national education system was modified, and the compulsory school age of entry (first grade) was redefined as a minimum of 60 months and a maximum of 66 months (replacing the former minimum criterion of 72 months). In this study, we hypothesized that students starting school before 72 months (the previous age standard for the first grade) may experience (1) a greater number of symptoms of attention deficit hyperactivity disorder (ADHD) and (2) lower functioning in social, behavioral, and academic domains. METHOD: We performed a cross-sectional community-based study in the first and second grades of all primary schools (4356 students) located in the Kadiköy county of Istanbul, Turkey. Teachers completed Swanson, Nolan, and Pelham version IV and Conners' Teacher's report forms for symptoms of ADHD, the Perceived Competence Scale for functioning, and a sociodemographic questionnaire. RESULTS: Among first graders, the group that began primary school before the age of 72 months had a higher ADHD prevalence than both of the groups that began primary school between the ages of 72 to 77 months and 78 to 83 months (p < .001 for both groups). ADHD symptoms diminished and academic, social, and behavioral functioning improved with age for the first and second grade students. CONCLUSION: The probability of displaying ADHD symptoms (and caseness) is greater among the "earlier" beginners, whereas the "conventional" classmates exhibited better academic, social, and behavioral functioning.