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The contribution of parent and youth information to identify mental health disorders or problems in adolescents

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, April 2017
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Title
The contribution of parent and youth information to identify mental health disorders or problems in adolescents
Published in
Child and Adolescent Psychiatry and Mental Health, April 2017
DOI 10.1186/s13034-017-0160-9
Pubmed ID
Authors

Marcel Aebi, Christine Kuhn, Tobias Banaschewski, Yvonne Grimmer, Luise Poustka, Hans-Christoph Steinhausen, Robert Goodman

Abstract

Discrepancies between multiple informants often create considerable uncertainties in delivering services to youth. The present study assessed the ability of the parent and youth scales of the Strength and Difficulties Questionnaire (SDQ) to predict mental health problems/disorders across several mental health domains as validated against two contrasting indices of validity for psychopathology derived from the Development and Well Being Assessment (DAWBA): (1) an empirically derived computer algorithm and (2) expert based ICD-10 diagnoses. Ordinal and logistic regressions were used to predict any problems/disorders, emotional problems/disorders and behavioural problems/disorders in a community sample (n = 252) and in a clinic sample (n = 95). The findings were strikingly similar in both samples. Parent and youth SDQ scales were related to any problem/disorder. Youth SDQ symptom and impact had the strongest association with emotional problems/disorder and parent SDQ symptom score were most strongly related to behavioural problems/disorders. Both the SDQ total and the impact scores significantly predicted emotional problems/disorders in males whereas this was the case only for the total SDQ score in females. The present study confirms and expands previous findings on parent and youth informant validity. Clinicians should include both parent and youth for identifying any mental health problems/disorders, youth information for detecting emotional problems/disorders, and parent information to detect behavioural problems/disorders. Not only symptom scores but also impact measures may be useful to detect emotional problems/disorders, particularly in male youth.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Master 17 17%
Student > Bachelor 8 8%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 37 36%
Readers by discipline Count As %
Psychology 30 29%
Medicine and Dentistry 13 13%
Social Sciences 8 8%
Nursing and Health Professions 4 4%
Computer Science 2 2%
Other 4 4%
Unknown 42 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 September 2017.
All research outputs
#18,154,932
of 23,322,258 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#547
of 672 outputs
Outputs of similar age
#222,511
of 311,336 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#10
of 16 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 311,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.