Health-related quality of life in parents of school-age children with Asperger syndrome or high-functioning autism

BACKGROUND: The estimated prevalence rate of Pervasive Developmental Disorders (PDD) in children is 6 per 1.000. Parenting children who are intellectually impaired and have PDDs is known to be linked to the impaired well-being of the parents themselves. However, there is still little available data on health-related quality of life (HRQL) in parents of children with Asperger Syndrome (AS) and High-Functioning Autism (HFA), or other PDD diagnoses in children of normal intelligence. The present study aimed to evaluate aspects of HRQL in parents of school-age children with AS/HFA and the correlates with child behaviour characteristics. METHODS: The sample consisted of 31 mothers and 30 fathers of 32 children with AS/HFA and 30 mothers and 29 fathers of 32 age and gender matched children with typical development. Parental HRQL was surveyed by the use of the 12 Item Short Form Health Survey (SF-12) which measures physical and mental well-being. The child behaviour characteristics were assessed using the structured questionnaires: The High-Functioning Autism Spectrum Screening Questionnaire (ASSQ) and The Strengths and Difficulties Questionnaire (SDQ). RESULTS: The mothers of children with AS/HFA had lower SF-12 scores than the controls, indicating poorer physical health. The mothers of children with AS/HFA also had lower physical SF-12 scores compared to the fathers. In the AS/HFA group, maternal health was related to behaviour problems such as hyperactivity and conduct problems in the child. CONCLUSION: Mothers but not fathers of children with AS/HFA reported impaired HRQL, and there was a relationship between maternal well-being and child behaviour characteristics

Insomnia in school-age children with Asperger syndrome or high-functioning autism

BACKGROUND: Asperger syndrome (AS) and high-functioning autism (HFA) are pervasive developmental disorders (PDD) in individuals of normal intelligence. Childhood AS/HFA is considered to be often associated with disturbed sleep, in particular with difficulties initiating and/or maintaining sleep (insomnia). However, studies about the topic are still scarce. The present study investigated childhood AS/HFA regarding a wide range of parent reported sleep-wake behaviour, with a particular focus on insomnia. METHODS: Thirty-two 8–12 yr old children with AS/HFA were compared with 32 age and gender matched typically developing children regarding sleep and associated behavioural characteristics. Several aspects of sleep-wake behaviour including insomnia were surveyed using a structured paediatric sleep questionnaire in which parents reported their children's sleep patterns for the previous six months. Recent sleep patterns were monitored by use of a one-week sleep diary and actigraphy. Behavioural characteristics were surveyed by use of information gleaned from parent and teacher-ratings in the High-Functioning Autism Spectrum Screening Questionnaire, and in the Strengths and Difficulties Questionnaire. RESULTS: Parent-reported difficulties initiating sleep and daytime sleepiness were more common in children with AS/HFA than in controls, and 10/32 children with AS/HFA (31.2%) but none of the controls fulfilled our definition of paediatric insomnia. The parent-reported insomnia corresponded to the findings obtained by actigraphy. Children with insomnia had also more parent-reported autistic and emotional symptoms, and more teacher-reported emotional and hyperactivity symptoms than those children without insomnia. CONCLUSION: Parental reports indicate that in childhood AS/HFA insomnia is a common and distressing symptom which is frequently associated with coexistent behaviour problems. Identification and treatment of sleep problems need to be a routine part of the treatment plan for children with AS/HFA

Randomised trial showed no difference in behavioural symptoms between surgical methods treating paediatric obstructive sleep apnoea

AIM: Our previous randomised controlled trial of children with obstructive sleep apnoea (OSA) showed no significant differences between adenotonsillectomy (ATE) and adenotonsillotomy (ATT) in improving nocturnal respiration and quality of life after 1 year. The aim of this report was to evaluate the effects on behavioural symptoms using the Strengths and Difficulties Questionnaire (SDQ). METHODS: Children between 2 and 6 years with OSA were randomised to ATT or ATE. Parents, blinded to method, answered the SDQ while their child underwent polysomnography before and 1 year after surgery. Differences between the total SDQ scores were analysed between the treatment groups. RESULTS: The SDQ was filled out in 87% of the cases preoperatively, and in 86% postoperatively. At follow-up, the mean total SDQ score was 9.6 SD ± 5.1 in the ATE group (n = 31), and 8.2 ± 6.7 in the ATT group (n = 37), P = .09. The mean total SDQ score for all was preoperatively 10.6 ± 5.0, and postoperatively 8.8 ± 6.0, P = .0002. CONCLUSION: There were no significant differences in SDQ scores between the groups at follow-up, indicating that the more conservative ATT is a treatment option in paediatric OSA. The whole group of patients showed a significant improvement after surgery

Pandemrix-induced narcolepsy is associated with genes related to immunity and neuronal survival

Background: The incidence of narcolepsy rose sharply after the swine influenza A (H1N1) vaccination campaign with Pandemrix. Narcolepsy is an immune-related disorder with excessive daytime sleepiness. The most frequent form is strongly associated with HLA-DQB1*06:02, but only a minority of carriers develop narcolepsy. We aimed to identify genetic markers that predispose to Pandemrix-induced narcolepsy. Methods: We tested for genome-wide and candidate gene associations in 42 narcolepsy cases and 4981 controls. Genotyping was performed on Illumina arrays, HLA alleles were imputed using SNP2HLA, and single nucleotide polymorphisms were imputed using the haplotype reference consortium panel. The genome-wide significance threshold was p < 5 × 10−8, and the nominal threshold was p < 0.05. Results were replicated in 32 cases and 7125 controls. Chromatin data was used for functional annotation. Findings: Carrying HLA-DQB1*06:02 was significantly associated with narcolepsy, odds ratio (OR) 39.4 [95% confidence interval (CI) 11.3, 137], p = 7.9 × 10−9. After adjustment for HLA, GDNF-AS1 (rs62360233) was significantly associated, OR = 8.7 [95% CI 4.2, 17.5], p = 2.6 × 10−9, and this was replicated, OR = 3.4 [95% CI 1.2–9.6], p = 0.022. Functional analysis revealed variants in high LD with rs62360233 that might explain the detected association. The candidate immune-gene locus TRAJ (rs1154155) was nominally associated in both the discovery and replication cohorts, meta-analysis OR = 2.0 [95% CI 1.4, 2.8], p = 0.0002. Interpretation: We found a novel association between Pandemrix-induced narcolepsy and the non-coding RNA gene GDNF-AS1, which has been shown to regulate expression of the essential neurotrophic factor GDNF. Changes in regulation of GDNF have been associated with neurodegenerative diseases. This finding may increase the understanding of disease mechanisms underlying narcolepsy. Associations between Pandemrix-induced narcolepsy and immune-related genes were replicated. Keywords: (MeSH), Narcolepsy, Influenza vaccines, Influenza A virus, H1N1 subtype, Drug-related side effects and adverse reactions, Genome-wide association study, Pharmacogenetics, Glial cell line-derived neurotrophic factor, RNA, long noncoding, Autoimmune diseases, Genetic variatio

The Strengths and Difficulties Questionnaire in the Nordic countries

Background: The Strengths and Difficulties Questionnaire (SDQ) has been translated into the different Nordic languages between 1996 and 2003. During the past few years, SDQs have been completed for nearly 100,000 children and adolescents in population-based studies as well as in clinical samples. The largest studies have been performed in Norway and Denmark, and in these countries the diagnostic interview DAWBA has also been used in conjunction with the SDQ. Aims: In addition to a brief overview of past and ongoing SDQ work in Sweden, Finland, Norway, Denmark, and Iceland, we present scale means and standard deviations from selected community studies with comparable age groups, including parental reports for 7, 9 and 11 year-old children and self-reports of 13 and 15 year-olds. Conclusions: The descriptive statistics suggest that the distributions of SDQ scores are very similar across the Nordic countries. Further collaborative efforts in establishing norms and evaluating the validity of the SDQ as a screening instrument are encouraged

The strengths and difficulties questionnaire in the Nordic countries

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldBACKGROUND: The Strengths and Difficulties Questionnaire (SDQ) has been translated into the different Nordic languages between 1996 and 2003. During the past few years, SDQs have been completed for nearly 100,000 children and adolescents in population-based studies as well as in clinical samples. The largest studies have been performed in Norway and Denmark, and in these countries the diagnostic interview DAWBA has also been used in conjunction with the SDQ. AIMS: In addition to a brief overview of past and ongoing SDQ work in Sweden, Finland, Norway, Denmark, and Iceland, we present scale means and standard deviations from selected community studies with comparable age groups, including parental reports for 7, 9 and 11 year-old children and self-reports of 13 and 15 year-olds. CONCLUSIONS: The descriptive statistics suggest that the distributions of SDQ scores are very similar across the Nordic countries. Further collaborative efforts in establishing norms and evaluating the validity of the SDQ as a screening instrument are encouraged

Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy

Narcolepsy type 1 (NT1) is caused by a loss of hypocretin/orexin transmission. Risk factors include pandemic 2009 H1N1 influenza A infection and immunization with Pandemrix®. Here, we dissect disease mechanisms and interactions with environmental triggers in a multi-ethnic sample of 6,073 cases and 84,856 controls. We fine-mapped GWAS signals within HLA (DQ0602, DQB1*03:01 and DPB1*04:02) and discovered seven novel associations (CD207, NAB1, IKZF4-ERBB3, CTSC, DENND1B, SIRPG, PRF1). Significant signals at TRA and DQB1*06:02 loci were found in 245 vaccination-related cases, who also shared polygenic risk. T cell receptor associations in NT1 modulated TRAJ*24, TRAJ*28 and TRBV*4-2 chain-usage. Partitioned heritability and immune cell enrichment analyses found genetic signals to be driven by dendritic and helper T cells. Lastly comorbidity analysis using data from FinnGen, suggests shared effects between NT1 and other autoimmune diseases. NT1 genetic variants shape autoimmunity and response to environmental triggers, including influenza A infection and immunization with Pandemrix®

Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy

Narcolepsy has genetic and environmental risk factors, but the specific genetic risk loci and interaction with environmental triggers are not well understood. Here, the authors identify genetic loci for narcolepsy, suggesting infection as a trigger and dendritic and helper T cell involvement.Narcolepsy type 1 (NT1) is caused by a loss of hypocretin/orexin transmission. Risk factors include pandemic 2009 H1N1 influenza A infection and immunization with Pandemrix (R). Here, we dissect disease mechanisms and interactions with environmental triggers in a multi-ethnic sample of 6,073 cases and 84,856 controls. We fine-mapped GWAS signals within HLA (DQ0602, DQB1*03:01 and DPB1*04:02) and discovered seven novel associations (CD207, NAB1, IKZF4-ERBB3, CTSC, DENND1B, SIRPG, PRF1). Significant signals at TRA and DQB1*06:02 loci were found in 245 vaccination-related cases, who also shared polygenic risk. T cell receptor associations in NT1 modulated TRAJ*24, TRAJ*28 and TRBV*4-2 chain-usage. Partitioned heritability and immune cell enrichment analyses found genetic signals to be driven by dendritic and helper T cells. Lastly comorbidity analysis using data from FinnGen, suggests shared effects between NT1 and other autoimmune diseases. NT1 genetic variants shape autoimmunity and response to environmental triggers, including influenza A infection and immunization with Pandemrix (R).Peer reviewe