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Early Childhood Assessments of Community Pediatric Professionals Predict Autism Spectrum and Attention Deficit Hyperactivity Problems

Overview of attention for article published in Research on Child and Adolescent Psychopathology, June 2012
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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2 policy sources
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Citations

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38 Dimensions

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295 Mendeley
Title
Early Childhood Assessments of Community Pediatric Professionals Predict Autism Spectrum and Attention Deficit Hyperactivity Problems
Published in
Research on Child and Adolescent Psychopathology, June 2012
DOI 10.1007/s10802-012-9653-4
Pubmed ID
Authors

Merlijne Jaspers, Andrea F. de Winter, Jan K. Buitelaar, Frank C. Verhulst, Sijmen A. Reijneveld, Catharina A. Hartman

Abstract

For clinically referred children with Autism Spectrum Disorder (ASD) or Attention Deficit/Hyperactivity Disorder (ADHD) several early indicators have been described. However, knowledge is lacking on early markers of less severe variants of ASD and ADHD from the general population. The aim of the present study is to identify early indicators of high risk groups for ASD and ADHD problems based on routine data from community pediatric services between infancy and age four. Data are from 1,816 participants who take part in Tracking Adolescents' Individual Lives Survey (TRAILS), a longitudinal study. Information on early developmental factors was extracted from charts of routine Preventive Child Healthcare (PCH) visits. To assess ASD and ADHD problems, respectively, we used the Children's Social Behavior Questionnaire (CSBQ) and the Child Behavior Checklist (CBCL), filled out by parents three times between the ages of 11 and 17. Note that these are parent ratings and not diagnostic instruments performed by trained clinicians. Male gender, low birth weight, low level of education of the mother, social, behavioral, language, psychomotor and eating problems significantly predicted ASD problems (odds ratios (OR) between 1.34 and 2.41). ADHD problems were also predicted by male gender and low level of education of the mother and by maternal smoking during pregnancy, good gross motor skills in first year, early attention and hyperactivity problems, and absence of parent-reported positive behavior (ORs between 1.36 and 1.74). Routine data on early childhood from PCH services are predictive for ASD and ADHD problems in adolescents in the general population. The PCH services are a useful setting to identify high risk groups, and to monitor them subsequently.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 292 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 13%
Student > Master 37 13%
Student > Bachelor 34 12%
Researcher 29 10%
Student > Doctoral Student 25 8%
Other 55 19%
Unknown 78 26%
Readers by discipline Count As %
Psychology 70 24%
Medicine and Dentistry 47 16%
Social Sciences 22 7%
Nursing and Health Professions 21 7%
Neuroscience 9 3%
Other 36 12%
Unknown 90 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 August 2021.
All research outputs
#4,727,518
of 25,654,806 outputs
Outputs from Research on Child and Adolescent Psychopathology
#480
of 2,056 outputs
Outputs of similar age
#30,949
of 181,523 outputs
Outputs of similar age from Research on Child and Adolescent Psychopathology
#8
of 29 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 76% 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 181,523 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 82% of its contemporaries.
We're also able to compare this research output to 29 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 72% of its contemporaries.