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Exploring the relationship between quality of life and mental health problems in children: implications for measurement and practice

Overview of attention for article published in European Child & Adolescent Psychiatry, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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112 Mendeley
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Title
Exploring the relationship between quality of life and mental health problems in children: implications for measurement and practice
Published in
European Child & Adolescent Psychiatry, October 2015
DOI 10.1007/s00787-015-0774-5
Pubmed ID
Authors

Helen Sharpe, Praveetha Patalay, Elian Fink, Panos Vostanis, Jessica Deighton, Miranda Wolpert

Abstract

Quality of life is typically reduced in children with mental health problems. Understanding the relationship between quality of life and mental health problems and the factors that moderate this association is a pressing priority. This was a cross-sectional study involving 45,398 children aged 8-13 years from 880 schools in England. Self-reported quality of life was assessed using nine items from the KIDSCREEN-10 and mental health was assessed using the Me and My School Questionnaire. Demographic information (gender, age, ethnicity, socio-economic status) was also recorded. Quality of life was highest in children with no problems and lowest in children with both internalising and externalising problems. There was indication that quality of life may be reduced in children with internalising problems compared with externalising problems. Approximately 12 % children with mental health problems reported high quality of life. The link between mental health and quality of life was moderated by gender and age but not by socio-economic status or ethnicity. This study supports previous work showing mental health and quality of life are related but not synonymous. The findings have implications for measuring quality of life in child mental health settings and the need for approaches to support children with mental health problems that are at particular risk of poor quality of life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Student > Master 15 13%
Student > Bachelor 14 13%
Researcher 10 9%
Student > Doctoral Student 7 6%
Other 8 7%
Unknown 31 28%
Readers by discipline Count As %
Psychology 38 34%
Social Sciences 9 8%
Nursing and Health Professions 7 6%
Medicine and Dentistry 7 6%
Agricultural and Biological Sciences 3 3%
Other 14 13%
Unknown 34 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 07 September 2019.
All research outputs
#1,953,013
of 23,576,969 outputs
Outputs from European Child & Adolescent Psychiatry
#209
of 1,698 outputs
Outputs of similar age
#29,393
of 284,838 outputs
Outputs of similar age from European Child & Adolescent Psychiatry
#6
of 21 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 87% 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 284,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.