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White BM, Prasad R, Ammar N, Yaun JA, Shaban-Nejad A. Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. JMIR Pediatr Parent 2024; 7:e58403. [PMID: 39412745 PMCID: PMC11498064 DOI: 10.2196/58403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 08/05/2024] [Accepted: 08/20/2024] [Indexed: 10/25/2024] Open
Abstract
Background Exposures to both negative and positive experiences in childhood have proven to influence cardiovascular, immune, metabolic, and neurologic function throughout an individual's life. As such, adverse childhood experiences (ACEs) could have severe consequences on health and well-being into adulthood. Objective This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and mental health consequences associated with ACEs among children and youth. Methods Several databases were searched for studies published from August 2017 to August 2022. Selected studies (1) explored the relationship between digital health interventions and mitigation of negative health outcomes associated with mental health in childhood and adolescence and (2) examined prevention of ACE occurrence associated with mental illness in childhood and adolescence. A total of 18 search papers were selected, according to our inclusion and exclusion criteria, to evaluate and identify means by which existing digital solutions may be useful in mitigating the mental health consequences associated with the occurrence of ACEs in childhood and adolescence and preventing ACE occurrence due to mental health consequences. We also highlighted a few knowledge gaps or barriers to DHT implementation and usability. Results Findings from the search suggest that the incorporation of DHTs, if implemented successfully, has the potential to improve the quality of related care provisions for the management of mental health consequences of adverse or traumatic events in childhood, including posttraumatic stress disorder, suicidal behavior or ideation, anxiety or depression, and attention-deficit/hyperactivity disorder. Conclusions The use of DHTs, machine learning tools, natural learning processing, and artificial intelligence can positively help in mitigating ACEs and associated risk factors. Under proper legal regulations, security, privacy, and confidentiality assurances, digital technologies could also assist in promoting positive childhood experiences in children and young adults, bolstering resilience, and providing reliable public health resources to serve populations in need.
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Affiliation(s)
- Brianna M White
- Department of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States
| | - Rameshwari Prasad
- Department of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States
| | - Nariman Ammar
- School of Information Technology, Illinois State University, Normal, IL, United States
| | - Jason A Yaun
- Methodist Le Bonheur Healthcare, Memphis, TN, United States
| | - Arash Shaban-Nejad
- Department of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States
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Bhui K, Ucci M, Kumar P, Jackson SK, Whitby C, Colbeck I, Pfrang C, Nasir ZA, Coulon F. Air quality and mental illness: role of bioaerosols, causal mechanisms and research priorities. BJPsych Open 2024; 10:e149. [PMID: 39295307 PMCID: PMC11457254 DOI: 10.1192/bjo.2024.724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND Poor air quality can both trigger and aggravate lung and heart conditions, as well as affecting child development. It can even lead to neurological and mental health problems. However, the precise mechanisms by which air pollution affect human health are not well understood. AIMS To promote interdisciplinary dialogue and better research based on a critical summary of evidence on air quality and health, with an emphasis on mental health, and to do so with a special focus on bioaerosols as a common but neglected air constituent. METHOD A rapid narrative review and interdisciplinary expert consultation, as is recommended for a complex and rapidly changing field of research. RESULTS The research methods used to assess exposures and outcomes vary across different fields of study, resulting in a disconnect in bioaerosol and health research. We make recommendations to enhance the evidence base by standardising measures of exposure to both particulate matter in general and bioaerosols specifically. We present methods for assessing mental health and ideal designs. There is less research on bioaerosols, and we provide specific ways of measuring exposure to these. We suggest research designs for investigating causal mechanisms as important intermediate steps before undertaking larger-scale and definitive studies. CONCLUSIONS We propose methods for exposure and outcome measurement, as well as optimal research designs to inform the development of standards for undertaking and reporting research and for future policy.
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Affiliation(s)
- Kamaldeep Bhui
- Department of Psychiatry and Nuffield Department of Primary Care Health Science, Wadham College, University of Oxford, Oxford, UK; and Global Policy Institute, Queen Mary University of London, London, UK
| | - Marcella Ucci
- UCL Institute for Environmental Design and Engineering, London, UK
| | - Prashant Kumar
- Global Centre for Clean Air Research, School of Sustainability, Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK
| | - Simon K. Jackson
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Corinne Whitby
- School of Life Sciences, University of Essex, Colchester, UK
| | - Ian Colbeck
- School of Life Sciences, University of Essex, Colchester, UK
| | - Christian Pfrang
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Zaheer A. Nasir
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | - Frederic Coulon
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
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Bhui K, Cipriani A. Understanding and responding to the drivers of inequalities in mental health. BMJ MENTAL HEALTH 2023; 26:e300921. [PMID: 38114130 DOI: 10.1136/bmjment-2023-300921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 11/21/2023] [Indexed: 12/21/2023]
Affiliation(s)
- Kamaldeep Bhui
- Department of Psychiatry, University of Oxford, Oxford, UK
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Hosang GM, Havers L, Shuai R, Fonagy P, Fazel M, Morgan C, Karamanos A, Fancourt D, McCrone P, Smuk M, Bhui K, Shakoor S. Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality. PLoS One 2023; 18:e0289438. [PMID: 37651364 PMCID: PMC10470884 DOI: 10.1371/journal.pone.0289438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/26/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Youth adversity (e.g., abuse and bullying victimisation) is robust risk factor for later mental health problems (e.g., depression and anxiety). Research shows the prevalence of youth adversity and rates of mental health problems vary by individual characteristics, identity or social groups (e.g., gender and ethnicity). However, little is known about whether the impact of youth adversity on mental health problems differ across the intersections of these characteristics (e.g., white females). This paper reports on a component of the ATTUNE research programme (work package 2) which aims to investigate the impact and mechanisms of youth adversity on depressive and anxiety symptoms in young people by intersectionality profiles. METHODS The data are from 4 UK adolescent cohorts: HeadStart Cornwall, Oxwell, REACH, and DASH. These cohorts were assembled for adolescents living in distinct geographical locations representing coastal, suburban and urban places in the UK. Youth adversity was assessed using a series of self-report questionnaires and official records. Validated self-report instruments measured depressive and anxiety symptoms. A range of different variables were classified as possible social and cognitive mechanisms. RESULTS AND ANALYSIS Structural equation modelling (e.g., multiple group models, latent growth models) and multilevel modelling will be used, with adaptation of methods to suit the specific available data, in accord with statistical and epidemiological conventions. DISCUSSION The results from this research programme will broaden our understanding of the association between youth adversity and mental health, including new information about intersectionality and related mechanisms in young people in the UK. The findings will inform future research, clinical guidance, and policy to protect and promote the mental health of those most vulnerable to the negative consequences of youth adversity.
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Affiliation(s)
- Georgina Mayling Hosang
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom
| | - Laura Havers
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom
| | - Ruichong Shuai
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, London, United Kingdom
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Mina Fazel
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Craig Morgan
- Health Service and Population Research, Institute of Psychology, Psychiatry & Neuroscience, King’s College London, London, United Kingdom
- Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Alexis Karamanos
- Department of Population Health Sciences, King’s College London, London, United Kingdom
| | - Daisy Fancourt
- Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Paul McCrone
- Institute for Lifecourse Development, University of Greenwich, London, United Kingdom
| | - Melanie Smuk
- Centre for Genomics and Child Health, Blizard Institute, Queen Mary, University of London, London, United Kingdom
| | - Kamaldeep Bhui
- Department of Psychiatry, Nuffield Department of Primary Care Health Sciences and Wadham College, University of Oxford, Oxford, United Kingdom
- Oxford Health and East London NHS Foundation Trusts, Oxford, United Kingdom
- World Psychiatric Association Collaborating Centre, Oxford, United Kingdom
| | - Sania Shakoor
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom
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