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- Ryland, Hilde K, et al.
(författare)
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Autism spectrum symptoms in children with neurological disorders.
- 2012
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Ingår i: Child and adolescent psychiatry and mental health. - : Springer Science and Business Media LLC. - 1753-2000. ; 6:1
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Tidskriftsartikel (refereegranskat)abstract
- ABSTRACT: BACKGROUND: The aims of the present study were to assess symptoms associated with an autism spectrum disorder (ASD) in children with neurological disorders as reported by parents and teachers on the Autism Spectrum Screening Questionnaire (ASSQ), as well the as the level of agreement between informants for each child. METHODS: The ASSQ was completed by parents and teachers of the 5730 children (11--13 years) who participated in the second wave of the Bergen Child Study (BCS), an on-going longitudinal population-based study. Out of these children, 496 were reported to have a chronic illness, including 99 whom had a neurological disorder. The neurological disorder group included children both with and without intellectual disabilities. RESULTS: Children with neurological disorders obtained significantly higher parent and teacher reported ASSQ scores than did non-chronically ill children and those with other chronic illnesses (p<.01; ES = .50-1.01), and 14.1 % were screened above the positive cutoff score for ASD according to their combined parent and teacher ASSQ scores. Parent/teacher agreement over ASSQ scores for children with neurological disorders was moderate to high for the total score and for three sub scores generated from a factor analysis, and low to moderate for single items. CONCLUSIONS: The ASSQ identifies a high rate of ASD symptoms in children with neurological disorders, and a large number of children screened in the positive range for ASD. Although a firm conclusion awaits further clinical studies, the present results suggest that health care professionals should be aware of potential ASD related problems in children with neurological disorders, and should consider inclusion of the ASSQ or similar screening instruments as part of their routine assessment of this group.
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| 2. |
- Alarifi, Hana, et al.
(författare)
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Machine learning for distinguishing saudi children with and without autism via eye-tracking data
- 2023
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Ingår i: CHILD AND ADOLESCENT PSYCHIATRY AND MENTAL HEALTH. - 1753-2000. ; 17:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundDespite the prevalence of Autism Spectrum Disorder (ASD) globally, there's a knowledge gap pertaining to autism in Arabic nations. Recognizing the need for validated biomarkers for ASD, our study leverages eye-tracking technology to understand gaze patterns associated with ASD, focusing on joint attention (JA) and atypical gaze patterns during face perception. While previous studies typically evaluate a single eye-tracking metric, our research combines multiple metrics to capture the multidimensional nature of autism, focusing on dwell times on eyes, left facial side, and joint attention.MethodsWe recorded data from 104 participants (41 neurotypical, mean age: 8.21 +/- 4.12 years; 63 with ASD, mean age 8 +/- 3.89 years). The data collection consisted of a series of visual stimuli of cartoon faces of humans and animals, presented to the participants in a controlled environment. During each stimulus, the eye movements of the participants were recorded and analyzed, extracting metrics such as time to first fixation and dwell time. We then used these data to train a number of machine learning classification algorithms, to determine if these biomarkers can be used to diagnose ASD.ResultsWe found no significant difference in eye-dwell time between autistic and control groups on human or animal eyes. However, autistic individuals focused less on the left side of both human and animal faces, indicating reduced left visual field (LVF) bias. They also showed slower response times and shorter dwell times on congruent objects during joint attention (JA) tasks, indicating diminished reflexive joint attention. No significant difference was found in time spent on incongruent objects during JA tasks. These results suggest potential eye-tracking biomarkers for autism. The best-performing algorithm was the random forest one, which achieved accuracy = 0.76 +/- 0.08, precision = 0.78 +/- 0.13, recall = 0.84 +/- 0.07, and F1 = 0.80 +/- 0.09.ConclusionsAlthough the autism group displayed notable differences in reflexive joint attention and left visual field bias, the dwell time on eyes was not significantly different. Nevertheless, the machine algorithm model trained on these data proved effective at diagnosing ASD, showing the potential of these biomarkers. Our study shows promising results and opens up potential for further exploration in this under-researched geographical context.
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| 3. |
- Britt-Marie, Ljungström, et al.
(författare)
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Bottom-up and top-down approaches to understanding oppositional defiant disorder symptoms during early childhood: a mixed method study
- 2020
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Ingår i: Child and Adolescent Psychiatry and Mental Health. - : Springer Science and Business Media LLC. - 1753-2000. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background Children with clinical levels of conduct problems are at high risk of developing mental health problems such as persistent antisocial behavior or emotional problems in adolescence. Serious conduct problems in childhood also predict poor functioning across other areas of life in early adulthood such as overweight, heavy drinking, social isolation and not in employment or education. It is important to capture those children who are most at risk, early in their development. The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) is commonly used in clinical settings, to identify children with conduct problems such as oppositional defiant disorder (ODD).This paper presents a cross-sectional study in a clinical setting, and describes behaviors in 3- to 8-year-olds with ODD. Our aim was to investigate whether there were problematic behaviors that were not captured by the diagnosis of ODD, using two different methods: a clinical approach (bottom-up) and the nosology for the diagnosis of ODD (top-down). Method Fifty-seven children with clinical levels of ODD participated in the study. The mothers were interviewed with both open questions and with a semi-structured diagnostic interview K-SADS. The data was analyzed using a mixed method, convergent, parallel qualitative/quantitative (QUAL + QUAN) design. For QUAL analysis qualitative content analysis was used, and for QUAN analysis associations between the two data sets, and ages-groups and gender were compared using Chi-square test. Results In the top-down approach, the ODD criteria helped to identify and separate commonly occurring oppositional behavior from conduct problems, but in the bottom-up approach, the accepted diagnostic criteria did not capture the entire range of problematic behaviors-especially those behaviors that constitute a risk for antisocial behavior. Conclusions The present study shows a gap between the diagnoses of ODD and conduct disorder (CD) in younger children. Antisocial behaviors manifest in preschool and early school years are not always sufficiently alarming to meet the diagnosis of CD, nor are they caught in their entirety by the ODD diagnostic tool. One way to verify suspicion of early antisocial behavior in preschool children would be to specify in the ODD diagnosis if there also is subclinical CD.
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| 4. |
- Gilsbach, Susanne, et al.
(författare)
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Increase in admission rates and symptom severity of childhood and adolescent anorexia nervosa in Europe during the COVID-19 pandemic: data from specialized eating disorder units in different European countries
- 2022
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Ingår i: Child and Adolescent Psychiatry and Mental Health. - : Springer Science and Business Media LLC. - 1753-2000. ; 16
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Tidskriftsartikel (refereegranskat)abstract
- Background The COVID-19 pandemic, associated with confinement and social isolation, seems to have impacted the course of many mental disorders in children and adolescents. An increase in hospital admission rates for juvenile anorexia nervosa (AN) has been documented in many regions of the world. However, data from Europe are scarce. Methods We asked clinicians in specialized eating disorder units in hospitals of maximum care in France, Germany, Italy, Spain, Sweden, and the Netherlands to report on (i) overall (inpatient and outpatient) and (ii) inpatient admission rates for adolescents with AN during 2019 and 2020. Additionally, a modified version of the COVID Isolation Eating Scale (CIES) was used to assess the child and adolescent psychiatrists’ estimations of a possible increase in symptom severity in children and adolescents with AN during the COVID-19 pandemic and to (iii) inquire about the contributing factors perceived by the caring professionals. Results Four out of six representatives of European hospitals described a higher rate of overall admissions during the pandemic. Three hospitals out of six reported an increase in inpatient admissions, and two centres had constant high numbers of admissions of both outpatients and inpatients. The clinicians perceived a higher symptom severity in 2020 than in 2019, especially involving more frequent use of social media, longer duration of exercising, and more restrictive eating. They supposed an increase in social media consumption, a perceived “loss of control”, and a lack of in-person assessments and weight controls as the main contributing factors for the deterioration in AN numbers and symptomatology. Conclusions The COVID-19 pandemic seems to have had a deep impact on symptom severity in AN, which is mirrored by a large increase in admission rates across Europe. An increase in exercise, social media consumption, a perceived “loss of control”, and a lack of face-to-face health care seem to have contributed to this development. Further investigation is required to identify which factors may lead to the increase in incidence and deterioration of childhood and adolescent AN. Possible preventive means for the future could include educating paediatricians and health care workers about AN, regular weight assessment, and home-based treatments.
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| 5. |
- Stupar, D., et al.
(författare)
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Posttraumatic stress disorder symptoms among trauma-exposed adolescents from low- and middle-income countries
- 2021
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Ingår i: Child and Adolescent Psychiatry and Mental Health. - : Springer Science and Business Media LLC. - 1753-2000. ; 15:1
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Tidskriftsartikel (refereegranskat)abstract
- Background Exposure to traumatic events in childhood is associated with the development and maintenance of various psychiatric disorders, but most frequently with posttraumatic stress disorder (PTSD). The aim of this study was to evaluate the types of traumatic events experienced and the presence and predictors of PTSD symptoms among adolescents from the general population from ten low- and middle-income countries (LMICs). Methods Data were simultaneously collected from 3370 trauma-exposed adolescents (mean age = 15.41 [SD = 1.65] years, range 12-18; 1465 (43.5%) males and 1905 (56.5%) females) in Brazil, Bulgaria, Croatia, Indonesia, Montenegro, Nigeria, the Palestinian Territories, the Philippines, Romania, and Serbia, with Portugal, a high-income country, as a reference point. The UCLA PTSD Reaction Index for the DSM-5 (PTSD-RI-5) was used for the assessment of traumatic events and PTSD symptoms. Results The most frequently reported traumatic events were death of a close person (69.7%), witnessing violence other than domestic (40.5%), being in a natural disaster (34.4%) and witnessing violent death or serious injury of a close person (33.9%). In total, 28.5% adolescents endorsed two to three DSM-5 PTSD criteria symptoms. The rates of adolescents with symptoms from all four DSM-5 criteria for PTSD were 6.2-8.1% in Indonesia, Serbia, Bulgaria, and Montenegro, and 9.2-10.5% in Philippines, Croatia and Brazil. From Portugal, 10.7% adolescents fall into this category, while 13.2% and 15.3% for the Palestinian Territories and Nigeria, respectively. A logistic regression model showed that younger age, experiencing war, being forced to have sex, and greater severity of symptoms (persistent avoidance, negative alterations in cognitions and mood, and alterations in arousal and reactivity) were significant predictors of fulfilling full PTSD criteria. Conclusions Nearly every third adolescent living in LMICs might have some PTSD symptoms after experiencing a traumatic event, while nearly one in ten might have sufficient symptoms for full DSM-5 PTSD diagnosis. The findings can inform the generation of PTSD burden estimates, allocation of health resources, and designing and implementing psychosocial interventions for PTSD in LMICs.
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