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

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          Abstract

          Background

          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.

          Methods

          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.

          Results

          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.

          Conclusions

          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.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13034-017-0165-4) contains supplementary material, which is available to authorized users.

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          Most cited references46

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          The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies.

          This study examined the persistence of attention deficit hyperactivity disorder (ADHD) into adulthood. We analyzed data from published follow-up studies of ADHD. To be included in the analysis, these additional studies had to meet the following criteria: the study included a control group and it was clear from the methods if the diagnosis of ADHD included subjects who did not meet full criteria but showed residual and impairing signs of the disorder. We used a meta-analysis regression model to separately assess the syndromatic and symptomatic persistence of ADHD. When we define only those meeting full criteria for ADHD as having 'persistent ADHD', the rate of persistence is low, approximately 15% at age 25 years. But when we include cases consistent with DSM-IV's definition of ADHD in partial remission, the rate of persistence is much higher, approximately 65%. Our results show that estimates of ADHD's persistence rely heavily on how one defines persistence. Yet, regardless of definition, our analyses show that evidence for ADHD lessens with age. More work is needed to determine if this reflects true remission of ADHD symptoms or is due to the developmental insensitivity of diagnostic criteria for the disorder.
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            The family APGAR: a proposal for a family function test and its use by physicians.

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              The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden.

              R. Goodman (1999)
              The Strengths and Difficulties Questionnaire (SDQ) is a brief behavioural screening questionnaire that asks about children's and teenagers' symptoms and positive attributes; the extended version also includes an impact supplement that asks if the respondent thinks the young person has a problem, and if so, enquires further about chronicity, distress, social impairment, and burden for others. Closely similar versions are completed by parents, teachers, and young people aged 11 or more. The validation study involved two groups of 5-15-year-olds: a community sample (N = 467) and a psychiatric clinic sample (N = 232). The two groups had markedly different distributions on the measures of perceived difficulties, impact (distress plus social impairment), and burden. Impact scores were better than symptom scores at discriminating between the community and clinic samples; discrimination based on the single "Is there a problem?" item was almost as good. The SDQ burden rating correlated well (r = .74) with a standardised interview rating of burden. For clinicians and researchers with an interest in psychiatric caseness and the determinants of service use, the impact supplement of the extended SDQ appears to provide useful additional information without taking up much more of respondents' time.
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                Author and article information

                Contributors
                barry0814@gmail.com
                wansonant@gmail.com
                louislin28@gmail.com
                gaushufe@ntu.edu.tw
                Journal
                Child Adolesc Psychiatry Ment Health
                Child Adolesc Psychiatry Ment Health
                Child and Adolescent Psychiatry and Mental Health
                BioMed Central (London )
                1753-2000
                1 June 2017
                1 June 2017
                2017
                : 11
                : 28
                Affiliations
                [1 ]ISNI 0000 0004 0573 0731, GRID grid.410764.0, Department of Psychiatry, , Taichung Veterans General Hospital, ; Taichung, Taiwan
                [2 ]ISNI 0000 0004 0546 0241, GRID grid.19188.39, Graduate Institute of Clinical Medicine, College of Medicine, , National Taiwan University, ; Taipei, Taiwan
                [3 ]ISNI 0000 0004 0572 7815, GRID grid.412094.a, Department of Psychiatry, , National Taiwan University Hospital and College of Medicine, ; No. 7, Chung-Shan South Road, Taipei, 10002 Taiwan
                [4 ]ISNI 0000 0004 0546 0241, GRID grid.19188.39, Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, , National Taiwan University, ; Taipei, Taiwan
                Author information
                http://orcid.org/0000-0002-2718-8221
                Article
                165
                10.1186/s13034-017-0165-4
                5452532
                28077965
                a955af61-04a7-4b87-b2b9-704c02c32a40
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 February 2017
                : 18 May 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010002, Ministry of Education;
                Award ID: MOE102-A060
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100008903, Ministry of Health and Welfare;
                Award ID: M03B3374
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Clinical Psychology & Psychiatry
                adhd,trajectory analysis,community sample,associated factors,child and adolescent

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