4 datasets found
  1. Share of patients in the U.S. taking antidepressants in 2019, by state

    • statista.com
    Updated Jul 17, 2020
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    Statista (2020). Share of patients in the U.S. taking antidepressants in 2019, by state [Dataset]. https://www.statista.com/statistics/1133632/antidepressant-use-by-state-us/
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    Dataset updated
    Jul 17, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    Based on pharmacy claims of those who filled at least one prescription for mental health medication in 2019, antidepressant use is most prevalent in West Virginia, Kentucky, Vermont, and New Hampshire. This statistic shows the percentage of patients (excluding those on government-sponsored benefits) who filled a prescription for antidepressants in the U.S. in 2019, by state.

  2. f

    Data from: Additional file 1 of Secondary care specialist visits made by...

    • springernature.figshare.com
    txt
    Updated Jun 1, 2023
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    Ruth H. Jack; Rebecca M. Joseph; Carol Coupland; Debbie Butler; Chris Hollis; Richard Morriss; Roger David Knaggs; Andrea Cipriani; Samuele Cortese; Julia Hippisley-Cox (2023). Additional file 1 of Secondary care specialist visits made by children and young people prescribed antidepressants in primary care: a descriptive study using the QResearch database [Dataset]. http://doi.org/10.6084/m9.figshare.12218843.v1
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Ruth H. Jack; Rebecca M. Joseph; Carol Coupland; Debbie Butler; Chris Hollis; Richard Morriss; Roger David Knaggs; Andrea Cipriani; Samuele Cortese; Julia Hippisley-Cox
    License

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

    Description

    Additional file 1. VisitsOverTime.csv, data showing percentage of patients with a visit to each specialty by year and antidepressant type (used for Fig. 1).

  3. Additional file 2 of Secondary care specialist visits made by children and...

    • figshare.com
    txt
    Updated May 31, 2023
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    Ruth H. Jack; Rebecca M. Joseph; Carol Coupland; Debbie Butler; Chris Hollis; Richard Morriss; Roger David Knaggs; Andrea Cipriani; Samuele Cortese; Julia Hippisley-Cox (2023). Additional file 2 of Secondary care specialist visits made by children and young people prescribed antidepressants in primary care: a descriptive study using the QResearch database [Dataset]. http://doi.org/10.6084/m9.figshare.12218849.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Ruth H. Jack; Rebecca M. Joseph; Carol Coupland; Debbie Butler; Chris Hollis; Richard Morriss; Roger David Knaggs; Andrea Cipriani; Samuele Cortese; Julia Hippisley-Cox
    License

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

    Description

    Additional file 2. IndicationsOverTime.csv, data showing percentage patients with a record of each indication by year and antidepressant type (used for Fig. 3).

  4. f

    Table_2_Identification and investigation of depression-related molecular...

    • frontiersin.figshare.com
    txt
    Updated Jun 14, 2023
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    Lijun Ning; Xinyuan Wang; Baoqin Xuan; Yanru Ma; Yuqing Yan; Ziyun Gao; Tianying Tong; Zhe Cui; Haoyan Chen; Xiaobo Li; Jie Hong; Zhenhua Wang (2023). Table_2_Identification and investigation of depression-related molecular subtypes in inflammatory bowel disease and the anti-inflammatory mechanisms of paroxetine.csv [Dataset]. http://doi.org/10.3389/fimmu.2023.1145070.s005
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    txtAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Frontiers
    Authors
    Lijun Ning; Xinyuan Wang; Baoqin Xuan; Yanru Ma; Yuqing Yan; Ziyun Gao; Tianying Tong; Zhe Cui; Haoyan Chen; Xiaobo Li; Jie Hong; Zhenhua Wang
    License

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

    Description

    BackgroundUp to 40 per cent of people with active inflammatory bowel disease (IBD) also suffer from mood disorders such as anxiety and depression. Notwithstanding, the fundamental biological pathways driving depression in IBD remain unknown.MethodsWe identified 33 core genes that drive depression in IBD patients and performed consensus molecular subtyping with the NMF algorithm in IBD. The CIBERSORT were employed to quantify the immune cells. Metabolic signature was characterized using the “IOBR” R package. The scoring system (D. score) based on PCA. Pre-clinical models are constructed using DSS.ResultsUsing transcriptome data from the GEO database of 630 IBD patients, we performed a thorough analysis of the correlation between IBD and depression in this research. Firstly, the samples were separated into two different molecular subtypes (D. cluster1 and D. cluster2) based on their biological signatures. Moreover, the immunological and metabolic differences between them were evaluated, and we discovered that D. cluster2 most closely resembled IBD patients concomitant with depression. We also developed a scoring system to assess the IBD-related depression and predict clinical response to anti-TNF- therapy, with a higher D. score suggesting more inflammation and worse reaction to biological therapies. Ultimately, we also identified through animal experiments an antidepressant, paroxetine, has the added benefit of lowering intestinal inflammation by controlling microorganisms in the digestive tract.ConclusionsThis study highlights that IBD patients with or without depression show significant variations and antidepressant paroxetine may help reduce intestinal inflammation.

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Statista (2020). Share of patients in the U.S. taking antidepressants in 2019, by state [Dataset]. https://www.statista.com/statistics/1133632/antidepressant-use-by-state-us/
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Share of patients in the U.S. taking antidepressants in 2019, by state

Explore at:
Dataset updated
Jul 17, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
United States
Description

Based on pharmacy claims of those who filled at least one prescription for mental health medication in 2019, antidepressant use is most prevalent in West Virginia, Kentucky, Vermont, and New Hampshire. This statistic shows the percentage of patients (excluding those on government-sponsored benefits) who filled a prescription for antidepressants in the U.S. in 2019, by state.

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