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Relationship between subtypes and symptoms of ADHD, insomnia, and nightmares in connection with quality of life in children

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2017
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Citations

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102 Mendeley
Title
Relationship between subtypes and symptoms of ADHD, insomnia, and nightmares in connection with quality of life in children
Published in
Neuropsychiatric Disease and Treatment, September 2017
DOI 10.2147/ndt.s118076
Pubmed ID
Authors

Julia Grünwald, Angelika Anita Schlarb

Abstract

This study examined the links between sleep disorders and subtypes of attention deficit-hyperactivity disorder (ADHD-inattention, ADHD-combined, ADHD-hyperactive/impulsive) in childhood. We set up a hypothetical model linking different symptoms of both disorders to construct the underlying and shared pathways. By examining a sample of children with ADHD we firstly tested parts of the model. A total of 72 children with symptoms of ADHD (aged 6-13 years; 79.2% boys) were diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition and the International Classification of Sleep Disorders, third edition in regards to ADHD and sleep disorders via standardized parent-rated questionnaires. Additionally, quality of life (QoL) was assessed. Overall, 46 children fulfilled the criteria of ADHD and were medication-naive. On average, the whole sample had clinically elevated total scores of the Children's Sleep Habits Questionnaire in the validated German version (CSHQ-DE), indicating an increased prevalence of sleep disorders in children with ADHD. In accordance to our hypothetical model, children with primarily hyperactive-impulsive ADHD showed the highest CSHQ-DE scores. Moreover, we found a high impact for insomnia in this subgroup and a high comorbid load for the mutual occurrence of insomnia and nightmares. Furthermore, QoL was reduced in our whole sample, and again intensified in children with comorbid insomnia and nightmares. We verified an elevated occurrence of sleep disorders in children with ADHD and were able to link them to specific subtypes of ADHD. These results were in line with our hypothetical model. Moreover, we found a clinically reduced QoL in mean for the whole sample, indicating the strong impact of ADHD in the lives of affected children, even intensified if children exhibited comorbid insomnia and nightmares. These results should be kept in mind regarding the treatment and therapy of this subgroup of children. Specific treatment strategies should be considered for these children.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 11 11%
Student > Bachelor 11 11%
Other 7 7%
Researcher 5 5%
Other 15 15%
Unknown 40 39%
Readers by discipline Count As %
Psychology 23 23%
Nursing and Health Professions 7 7%
Medicine and Dentistry 6 6%
Neuroscience 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 13 13%
Unknown 45 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2017.
All research outputs
#15,292,727
of 25,563,770 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,424
of 3,141 outputs
Outputs of similar age
#169,412
of 324,937 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#30
of 77 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.