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  1. Article: Public mental health: key challenges and opportunities.

    Campion, Jonathan

    BJPsych international

    2019  Volume 15, Issue 3, Page(s) 51–54

    Abstract: Public mental health involves a population approach to mental health, and includes treatment of mental disorder, prevention of associated impacts, prevention of mental disorder and promotion of mental well-being, including for those people recovering ... ...

    Abstract Public mental health involves a population approach to mental health, and includes treatment of mental disorder, prevention of associated impacts, prevention of mental disorder and promotion of mental well-being, including for those people recovering from mental disorder. Such interventions can result in a broad range of impacts and associated economic savings even in the short term. However, even in high-income countries only a minority of people with mental disorder receive any treatment, while provision is far less in low- and middle-income countries. Coverage of interventions to prevent mental disorder and promote mental well-being is far less even in high-income countries, despite such interventions being required for sustainable reduction in the burden of mental disorder. This implementation gap results in a broad set of impacts and associated economic costs. Mental health needs assessments represent an important framework and mechanism to address this implementation gap - in low- and middle-income as well as high-income countries. Training and support to perform mental health needs assessments is important, as is the use of information derived from such assessments to more effectively advocate for the required level of resources to address the implementation gap. Such a public health approach to mental health represents an opportunity for psychiatrists to advocate more effectively for resources at both the local and national level. This can improve the coverage and outcomes of a range of public mental health interventions that result in broad impacts and associated economic savings, which can be estimated.
    Language English
    Publishing date 2019-08-26
    Publishing country England
    Document type Editorial
    ZDB-ID 2905058-3
    ISSN 2058-6264 ; 2056-4740
    ISSN (online) 2058-6264
    ISSN 2056-4740
    DOI 10.1192/bji.2017.11
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: WPA Working Group on Public Mental Health: objectives and recommended actions.

    Campion, Jonathan / Javed, Afzal

    World psychiatry : official journal of the World Psychiatric Association (WPA)

    2022  Volume 21, Issue 2, Page(s) 330–331

    Language English
    Publishing date 2022-05-07
    Publishing country Italy
    Document type News
    ZDB-ID 2236130-3
    ISSN 2051-5545 ; 1723-8617
    ISSN (online) 2051-5545
    ISSN 1723-8617
    DOI 10.1002/wps.20981
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Public mental health: An opportunity to address implementation failure.

    Campion, Jonathan / Javed, Afzal / Saxena, Shekhar / Sharan, Pratap

    Indian journal of psychiatry

    2022  Volume 64, Issue 2, Page(s) 113–116

    Language English
    Publishing date 2022-03-24
    Publishing country India
    Document type Editorial
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/indianjpsychiatry.indianjpsychiatry_87_22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Why should we prioritise smoking cessation for people with mental health conditions?

    Campion, Jonathan / Johnston, Gordon / Shiers, David / Chew-Graham, Carolyn

    The British journal of general practice : the journal of the Royal College of General Practitioners

    2023  Volume 73, Issue 731, Page(s) 251–253

    MeSH term(s) Humans ; Smoking Cessation/psychology ; Mental Health ; Mental Disorders/therapy ; Mental Disorders/psychology ; Smoking
    Language English
    Publishing date 2023-05-25
    Publishing country England
    Document type Editorial
    ZDB-ID 1043148-2
    ISSN 1478-5242 ; 0035-8797 ; 0960-1643
    ISSN (online) 1478-5242
    ISSN 0035-8797 ; 0960-1643
    DOI 10.3399/bjgp23X732921
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Public mental health and associated opportunities.

    Campion, Jonathan / Javed, Afzal / Vaishnav, Mrugesh / Marmot, Michael

    Indian journal of psychiatry

    2020  Volume 62, Issue 1, Page(s) 3–6

    Language English
    Publishing date 2020-01-03
    Publishing country India
    Document type Editorial
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/psychiatry.IndianJPsychiatry_687_19
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Addressing the public mental health challenge of COVID-19.

    Campion, Jonathan / Javed, Afzal / Sartorius, Norman / Marmot, Michael

    The lancet. Psychiatry

    2020  Volume 7, Issue 8, Page(s) 657–659

    MeSH term(s) COVID-19 ; Coronavirus Infections/prevention & control ; Health Promotion ; Humans ; Mental Disorders/prevention & control ; Mental Health ; Mental Health Services ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Preventive Health Services ; Public Health
    Keywords covid19
    Language English
    Publishing date 2020-06-09
    Publishing country England
    Document type Journal Article
    ISSN 2215-0374
    ISSN (online) 2215-0374
    DOI 10.1016/S2215-0366(20)30240-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The economic case for improved coverage of public mental health interventions.

    Campion, Jonathan / Knapp, Martin

    The lancet. Psychiatry

    2017  Volume 5, Issue 2, Page(s) 103–105

    MeSH term(s) Cost-Benefit Analysis ; Global Health ; Humans ; Mental Disorders/therapy ; Mental Health Services/economics ; Public Health
    Language English
    Publishing date 2017-11-09
    Publishing country England
    Document type Journal Article
    ISSN 2215-0374
    ISSN (online) 2215-0374
    DOI 10.1016/S2215-0366(17)30433-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: STAT3 protects dopaminergic neurons against degeneration in animal model of Parkinson's disease.

    Smit, Rupert D / Ghosh, Biswarup / Campion, Thomas J / Stingel, Rachel / Lavell, Emily / Hooper, Robert / Fan, Xiaoxuan / Soboloff, Jonathan / Smith, George M

    Brain research

    2023  Volume 1824, Page(s) 148691

    Abstract: Introduction: Parkinson's disease (PD) is the most prevalent disorder of the basal ganglia, propagated by the degeneration of axon terminals within the striatum and subsequent loss of dopaminergic neurons in the substantia nigra (SN). Exposure of ... ...

    Abstract Introduction: Parkinson's disease (PD) is the most prevalent disorder of the basal ganglia, propagated by the degeneration of axon terminals within the striatum and subsequent loss of dopaminergic neurons in the substantia nigra (SN). Exposure of environmental neurotoxins and mutations of several mitochondrial and proteasomal genes are primarily responsible.
    Methods: To determine whether signal transducer and activator of transcription 3 (STAT3) could protect dopaminergic neurons against degeneration, we first screened it in the in vitro capacity using immortalized rat dopaminergic N27 cells under 6-OHDA neurotoxicity. We then evaluated the effectiveness of constitutively active (ca) STAT3 as a neuroprotective agent on N27 cells in a 6-hydroxydopamine (6-OHDA) induced rat model of PD and compared it to control animals or animals where AAV/caRheb was expressed in SN. Behavioral outcomes were assessed using rotational and cylinder assays and mitochondrial function using reactive oxygen species (ROS) levels.
    Results: Using flow cytometry, the in vitro analysis determined caSTAT3 significantly decreased dopaminergic neuronal death under 6-OHDA treatment conditions. Importantly, in vivo overexpression of caSTAT3 in SN dopaminergic neurons using AAV-mediated expression demonstrated significant neuroprotection of dopaminergic neurons following 6-OHDA. Both caSTAT3 and caRheb + caSTAT3 co-injection into substantia nigra reduced D-amphetamine-induced rotational behavior and increased ipsilateral forelimb function when compared to control animals. In addition, caSTAT3 decreased mitochondrial ROS production following 6-OHDA induced neurotoxicity.
    Conclusion: caSTAT3 confers resistance against ROS production in mitochondria of susceptible SN dopaminergic neurons potentially offering a new avenue for treatment against PD.
    MeSH term(s) Rats ; Animals ; Parkinson Disease/metabolism ; Dopaminergic Neurons/metabolism ; Oxidopamine/toxicity ; Oxidopamine/metabolism ; Rats, Sprague-Dawley ; Reactive Oxygen Species/metabolism ; STAT3 Transcription Factor/metabolism ; Disease Models, Animal ; Substantia Nigra/metabolism ; Neuroprotective Agents/pharmacology ; Neuroprotective Agents/metabolism
    Chemical Substances Oxidopamine (8HW4YBZ748) ; Reactive Oxygen Species ; STAT3 Transcription Factor ; Neuroprotective Agents
    Language English
    Publishing date 2023-11-27
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1200-2
    ISSN 1872-6240 ; 0006-8993
    ISSN (online) 1872-6240
    ISSN 0006-8993
    DOI 10.1016/j.brainres.2023.148691
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging.

    Cheong, Ryan Chin Taw / Jawad, Susan / Adams, Ashok / Campion, Thomas / Lim, Zhe Hong / Papachristou, Nikolaos / Unadkat, Samit / Randhawa, Premjit / Joseph, Jonathan / Andrews, Peter / Taylor, Paul / Kunz, Holger

    European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

    2024  Volume 281, Issue 4, Page(s) 2153–2158

    Abstract: Purpose: Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome the barrier of entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) for screening ...

    Abstract Purpose: Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome the barrier of entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) for screening purposes using AutoML could be beneficial to ease the clinical burden in the radiological workflow for paranasal sinus diseases.
    Methods: The main target of this work was the usage of automated evaluation of model performance and the feasibility of the Vertex AI image classification model on the Google Cloud AutoML platform to be trained to automatically classify the presence or absence of sinonasal disease. The dataset is a consensus labelled Open Access Series of Imaging Studies (OASIS-3) MRI head dataset by three specialised head and neck consultant radiologists. A total of 1313 unique non-TSE T2w MRI head sessions were used from the OASIS-3 repository.
    Results: The best-performing image classification model achieved a precision of 0.928. Demonstrating the feasibility and high performance of the Vertex AI image classification model to automatically detect the presence or absence of sinonasal disease on MRI.
    Conclusion: AutoML allows for potential deployment to optimise diagnostic radiology workflows and lay the foundation for further AI research in radiology and otolaryngology. The usage of AutoML could serve as a formal requirement for a feasibility study.
    MeSH term(s) Humans ; Artificial Intelligence ; Machine Learning ; Magnetic Resonance Imaging ; Head ; Paranasal Sinus Diseases/diagnostic imaging
    Language English
    Publishing date 2024-01-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1017359-6
    ISSN 1434-4726 ; 0937-4477
    ISSN (online) 1434-4726
    ISSN 0937-4477
    DOI 10.1007/s00405-023-08424-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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