10 datasets found
  1. Percentage of U.S. children with ADHD from 1997 to 2018

    • statista.com
    Updated Nov 29, 2023
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    Statista (2023). Percentage of U.S. children with ADHD from 1997 to 2018 [Dataset]. https://www.statista.com/statistics/947767/attention-deficit-hyperactivity-disorder-share-children-us/
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    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the percentage of children in the U.S. with attention deficit hyperactivity disorder (ADHD) from 1997 to 2018. In 2018, around 9.8 percent of children in the U.S. had been diagnosed with ADHD, compared to 5.5 percent in 1997.

  2. f

    Different metrics to measure graph discrepancy between children with typical...

    • figshare.com
    xls
    Updated May 30, 2023
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    Daniel Yasumasa Takahashi; João Ricardo Sato; Carlos Eduardo Ferreira; André Fujita (2023). Different metrics to measure graph discrepancy between children with typical development and children with combined type of ADHD (hyperactive-impulsive and inattentive) and their respective p-values. [Dataset]. http://doi.org/10.1371/journal.pone.0049949.t004
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel Yasumasa Takahashi; João Ricardo Sato; Carlos Eduardo Ferreira; André Fujita
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    For number of edges, clustering coefficient and average path length, the Wilcoxon test was carried out. For degree and spectral distributions, the JS divergence with the bootstrap test was calculated.

  3. Share of U.S. children who ever had ADHD from 2020 to 2022, by gender

    • statista.com
    • ai-chatbox.pro
    Updated Mar 22, 2024
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    Statista (2024). Share of U.S. children who ever had ADHD from 2020 to 2022, by gender [Dataset]. https://www.statista.com/statistics/814592/adha-among-us-kids-by-gender/
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    Dataset updated
    Mar 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020 - 2022
    Area covered
    United States
    Description

    From 2020 to 2022, around 11 percent of children in the United States aged 5 to 17 years had ADHD. This statistic displays the percentage of children in the U.S. aged 5 to 17 years who had ever been told by a doctor or health professional they had attention deficit hyperactivity disorder (ADHD) from 2020 to 2022, by gender.

  4. f

    Actigraphic registrations in the evening, 360 min (18–24).

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Ole Bernt Fasmer; Erlend Eindride Fasmer; Kristin Mjeldheim; Wenche Førland; Vigdis Elin Giæver Syrstad; Petter Jakobsen; Jan Øystein Berle; Tone E. G. Henriksen; Zahra Sepasdar; Erik R. Hauge; Ketil J. Oedegaard (2023). Actigraphic registrations in the evening, 360 min (18–24). [Dataset]. http://doi.org/10.1371/journal.pone.0241991.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ole Bernt Fasmer; Erlend Eindride Fasmer; Kristin Mjeldheim; Wenche Førland; Vigdis Elin Giæver Syrstad; Petter Jakobsen; Jan Øystein Berle; Tone E. G. Henriksen; Zahra Sepasdar; Erik R. Hauge; Ketil J. Oedegaard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Controls and the clinical group divided according to the presence or not of ADHD. For the graph analyses the number of neighbours is 40 + 40.

  5. S

    The 'different' pathological mechanisms underlying the 'similar' core...

    • scidb.cn
    Updated Aug 24, 2024
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    Ning-Ning Liu; Yin-Shan Wang; Hai-Mei Li; Yu-Feng Wang; Lu Liu; Qiu-Jin Qian; Xi-Nian Zuo (2024). The 'different' pathological mechanisms underlying the 'similar' core clinical manifestation—understanding children with attention-deficit/hyperactivity disorder with the human brain chart [Dataset]. http://doi.org/10.57760/sciencedb.o00133.00010
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2024
    Dataset provided by
    Science Data Bank
    Authors
    Ning-Ning Liu; Yin-Shan Wang; Hai-Mei Li; Yu-Feng Wang; Lu Liu; Qiu-Jin Qian; Xi-Nian Zuo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Poster in The 9th World Congress on ADHD - Modernising the concept of ADHD 18 - 21 May 2023 | RAI Amsterdam

  6. Distribution of children diagnosed with ADHD in Lombardy 2011-2021, by...

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). Distribution of children diagnosed with ADHD in Lombardy 2011-2021, by gender [Dataset]. https://www.statista.com/statistics/1318938/distribution-children-and-adolescents-with-adhd-by-gender-lombardy-italy/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2011 - Dec 2021
    Area covered
    Italy
    Description

    Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder common among children and adolescents. In the Italian region of Lombardy, around 85 percent of ADHD patients between 2011 and 2021 were males. This graph shows the distribution of children and adolescents diagnosed with ADHD in Lombardy between 2011 and 2021, by gender.

  7. f

    Data from: Attention-Deficit Hyperactivity Disorder (ADHD) and narrative...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Rafael Coelho; Paulo Mattos; Rosemary Tannock (2023). Attention-Deficit Hyperactivity Disorder (ADHD) and narrative discourse in older adults [Dataset]. http://doi.org/10.6084/m9.figshare.7452416.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rafael Coelho; Paulo Mattos; Rosemary Tannock
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Attention-Deficit Hyperactivity Disorder (ADHD) encompasses other symptoms besides inattention, hyperactivity, and impulsivity, such as language problems. ADHD can have a non-remitting course and is also found in older individuals, although there are no studies on language problems in elderly individuals with the disorder. Objective: To investigate the presence of language impairment in older adults with ADHD. Methods: Language impairment was investigated in three older ADHD adults, and compared with two matched control subjects using a narrative discourse task. The transcript discourses were evaluated based on the Trabasso Model for discourse analysis, and then processed by the Speech Graph Analysis software. Results: Compared to control subjects, ADHD patient discourse had more Plot components and their networks exhibited more Edges. The patients had higher scores on the Narrative Inefficiency, Density and Diameter Indexes as well as on the Average Clustering Coefficient. The networks of control subjects were sequential, with little or no recursiveness, whereas those of ADHD subjects were convoluted. Conclusion: Our results suggest that language deficits described in children, adolescents and young adults with ADHD may persist in older adults with the disorder.

  8. f

    Actigraphic registrations in the morning and evening, 360 min (08–14 and...

    • figshare.com
    xls
    Updated Jun 14, 2023
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    Ole Bernt Fasmer; Erlend Eindride Fasmer; Kristin Mjeldheim; Wenche Førland; Vigdis Elin Giæver Syrstad; Petter Jakobsen; Jan Øystein Berle; Tone E. G. Henriksen; Zahra Sepasdar; Erik R. Hauge; Ketil J. Oedegaard (2023). Actigraphic registrations in the morning and evening, 360 min (08–14 and 18–24). [Dataset]. http://doi.org/10.1371/journal.pone.0241991.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ole Bernt Fasmer; Erlend Eindride Fasmer; Kristin Mjeldheim; Wenche Førland; Vigdis Elin Giæver Syrstad; Petter Jakobsen; Jan Øystein Berle; Tone E. G. Henriksen; Zahra Sepasdar; Erik R. Hauge; Ketil J. Oedegaard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Healthy controls (n = 30) and ADHD patients (n = 41).

  9. Children with and without ADHD with dispensatory measures for eLearning...

    • statista.com
    Updated Sep 5, 2022
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    Statista (2022). Children with and without ADHD with dispensatory measures for eLearning Italy, 2020 [Dataset]. https://www.statista.com/statistics/1319065/rate-of-children-with-and-without-adhd-having-selected-dispensatory-measures-for-elearning-italy/
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    Dataset updated
    Sep 5, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    Italy
    Description

    During the COVID-19 pandemic distance learning was implemented in Italy, as well as in other countries, to allow students to continue to have classes even when schools were closed. Different dispensatory methods were used to help the students adapt to these new learning methods. This graph shows that teachers tended to give fewer tasks to children with ADHD, as well as additional time. This graph shows the percentage of children in Italy with different dispensatory measures during COVID-19 distance learning based on ADHD diagnosis as of 2020.

  10. f

    NBS analysis of EPELI FC contrasting ADHD and TD groups. The table shows the...

    • plos.figshare.com
    xls
    Updated Mar 18, 2025
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    Liya Merzon; Sofia Tauriainen; Ana Triana; Tarmo Nurmi; Hanna Huhdanpää; Minna Mannerkoski; Eeva T. Aronen; Mikhail Kantonistov; Linda Henriksson; Emiliano Macaluso; Juha Salmi (2025). NBS analysis of EPELI FC contrasting ADHD and TD groups. The table shows the nodes with the highest number of significant connections in the network detected by the NBS analysis of EPELI FC contrasting ADHD and TD groups. [Dataset]. http://doi.org/10.1371/journal.pone.0319746.t002
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    xlsAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Liya Merzon; Sofia Tauriainen; Ana Triana; Tarmo Nurmi; Hanna Huhdanpää; Minna Mannerkoski; Eeva T. Aronen; Mikhail Kantonistov; Linda Henriksson; Emiliano Macaluso; Juha Salmi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NBS analysis of EPELI FC contrasting ADHD and TD groups. The table shows the nodes with the highest number of significant connections in the network detected by the NBS analysis of EPELI FC contrasting ADHD and TD groups.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2023). Percentage of U.S. children with ADHD from 1997 to 2018 [Dataset]. https://www.statista.com/statistics/947767/attention-deficit-hyperactivity-disorder-share-children-us/
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Percentage of U.S. children with ADHD from 1997 to 2018

Explore at:
Dataset updated
Nov 29, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the percentage of children in the U.S. with attention deficit hyperactivity disorder (ADHD) from 1997 to 2018. In 2018, around 9.8 percent of children in the U.S. had been diagnosed with ADHD, compared to 5.5 percent in 1997.

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