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One-year trajectory analysis for ADHD symptoms and its associated factors in community-based children and adolescents in Taiwan

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, June 2017
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Title
One-year trajectory analysis for ADHD symptoms and its associated factors in community-based children and adolescents in Taiwan
Published in
Child and Adolescent Psychiatry and Mental Health, June 2017
DOI 10.1186/s13034-017-0165-4
Pubmed ID
Authors

Chia-Jui Tsai, Yi-Lung Chen, Hsiang-Yuan Lin, Susan Shur-Fen Gau

Abstract

Several longitudinal studies have shown the partial symptomatic persistence of attention-deficit hyperactivity disorder (ADHD) in clinic-based samples. However, little is known about the patterns and trajectories of ADHD symptoms in community-based populations. To differentiate developmental trajectories of ADHD symptoms over 1 year, with a four-wave quarterly follow-up in children and adolescents in the community of Taiwan, we conducted this prospective study in 1281 students in grade 3, 5, and 8. All the students in the regular classes rather than special educational classes were eligible and recruited to the study. Inattention, hyperactivity-impulsivity, and opposition-defiance were rated by parent reports on the Chinese version of the Swanson, Nolan, and Pelham Version IV Scale (SNAP-IV). Group-based trajectory modeling and multivariable regression analyses were used to explore the individual, family and social factors associated with differential trajectories. Trajectories were classified as Low (29.9-40.6%), Intermediate (52.5-58.5%) and High (6.9-12.5%) based on the symptom severity of ADHD symptoms assessed by the SNAP-IV. The proportion of children in the high ADHD trajectory might approximately reflect the prevalence of ADHD in Taiwan. The following factors differentiated High from Low trajectories: male gender, more externalizing problems, fewer prosocial behaviors, school dysfunction, more home behavioral problems, and less perceived family support. Our findings that the concurrent conditions of emotional or externalizing problems, as well as impaired school and home function at baseline, might differentiate the high ADHD symptoms trajectory from others could help developing the specific measures for managing high ADHD symptoms over time in a school setting.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Bachelor 8 11%
Researcher 7 9%
Student > Doctoral Student 5 7%
Student > Ph. D. Student 4 5%
Other 10 14%
Unknown 29 39%
Readers by discipline Count As %
Psychology 21 28%
Medicine and Dentistry 6 8%
Nursing and Health Professions 5 7%
Engineering 2 3%
Social Sciences 2 3%
Other 7 9%
Unknown 31 42%
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 June 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#627
of 662 outputs
Outputs of similar age
#275,569
of 316,526 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#10
of 13 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 1st percentile – i.e., 1% 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 316,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.