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Hui EK, Mukadam N, Kohl G, Livingston G. Effect of diabetes medications on the risk of developing dementia, mild cognitive impairment, or cognitive decline: A systematic review and meta-analysis. J Alzheimers Dis 2025:13872877251319054. [PMID: 40017057 DOI: 10.1177/13872877251319054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2025]
Abstract
Background: Diabetes is a risk factor for dementia, but we do not know whether specific diabetes medications ameliorate this risk. Objective: To systematically review and meta-analyze such medication's effect on the risk of developing dementia, mild cognitive impairment (MCI), or cognitive decline. Methods: We searched three databases until 21 November 2023. We included randomized controlled trials (RCT), cohort, and case-control studies assessing association between antidiabetic medication and future dementia, MCI, or cognitive decline. We meta-analyzed studies separately for individual drug classes and their comparators (no medication, placebo, or another drug). We appraised study quality using the Newcastle-Ottawa Scale and Physiotherapy Evidence Database Scale. Results: 42 studies fulfilled inclusion criteria. Glucagon-like peptide-1 receptor agonists (GLP-1 RA) versus placebo reduced dementia risk by 53% in three RCTs (n = 15,820, RR = 0.47[0.25, 0.86]) and 27% in three case-control studies (n = 312,856, RR = 0.73[0.54, 0.99], I2 = 96%). Repaglinide was superior to glibenclamide by 0.8 points on the Mini-Mental State Examination scale in another RCT. Meta-analysis of seven longitudinal studies showed glitazones (n = 1,081,519, RR = 0.78[0.76, 0.81], I2 = 0%) were associated with reduced dementia risk. Metformin (n = 999,349, RR = 0.94[0.79, 1.13], I2 = 98.4%), sulfonylureas (RR = 0.98[0.78, 1.22], I2 = 83.3%), dipeptidyl peptidase-IV inhibitors (DPP-1V) (n = 192,802, RR = 0.86[0.65, 1.15], I2 = 92.9%) and insulin (n = 571,274, RR = 1.09[0.95, 1.25], I2 = 94.8%) were not. Most studies were observational and limited by confounding by indication. Conclusions: In people with diabetes, RCTs consistently showed GLP-RAs reduce future dementia risk. Glitazones consistently showed protective effects, without heterogeneity, suggesting potential generalizability of these results. Metformin, sulfonylureas, insulin, and DPP-1V studies had inconsistent findings. If information is available future studies should consider dosage, severity, and duration.
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Affiliation(s)
- Esther K Hui
- Division of Psychiatry, University College London, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK
| | - Gianna Kohl
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
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Booi L, Bridgeman K, Greene L, Gregory S, An H, Marquez M, Farina FR. Exploring brain health awareness and dementia risk in young adults: A focus group study. Public Health 2025; 239:179-184. [PMID: 39864278 DOI: 10.1016/j.puhe.2024.12.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 11/21/2024] [Accepted: 12/17/2024] [Indexed: 01/28/2025]
Abstract
OBJECTIVE The topic of brain health across the life-course is currently receiving exponential attention. Alongside this, exposure to lifestyle-related risk factors for Alzheimer's disease and related dementias accumulates across the life-course. This study aimed to explore young adults' (18-39 years) perceptions and understanding of brain health and dementia risk. STUDY DESIGN This study employed a phenomenological descriptive qualitative methodology to examine the lived experiences and perceptions of participants. METHODS Focus groups were conducted with 39 young adults (18 female, 2 non-binary) from North America (n = 20) and Europe (n = 19), conducted via video conference. RESULTS Participants' awareness and understanding of brain health and dementia risk factors varied, influenced by factors such as general health, family history of dementia, and personal experiences with brain health issues (e.g., traumatic brain injury). The data revealed rich insights into how participants connected (or did not connect) lifestyle factors to brain health and dementia risk. CONCLUSION This study is among the first to explore young adults' perceptions of brain health across diverse populations. While participants demonstrated moderate awareness of factors affecting brain health, they often struggled to link these factors directly to dementia risk or protective measures.
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Affiliation(s)
- Laura Booi
- Centre for Dementia Research, School of Health, Leeds Beckett University, Leeds, LS1 3HE, UK; Global Brain Health Institute, Trinity College, Dublin, Ireland and University of California, San Francisco, CA, 94158, USA.
| | - Katie Bridgeman
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, EH16 4SB, Edinburgh, UK
| | - Leanne Greene
- Centre for Dementia Research, School of Health, Leeds Beckett University, Leeds, LS1 3HE, UK
| | - Sarah Gregory
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, EH16 4SB, Edinburgh, UK
| | - Hosanna An
- University of Chicago, Pritzker School of Medicine, Chicago, IL, 60637, USA
| | - Melissa Marquez
- University of Chicago, Pritzker School of Medicine, Chicago, IL, 60637, USA
| | - Francesca R Farina
- Global Brain Health Institute, Trinity College, Dublin, Ireland and University of California, San Francisco, CA, 94158, USA; University of Chicago, Pritzker School of Medicine, Chicago, IL, 60637, USA
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Curtis EM, Miguel M, McEvoy C, Ticinesi A, Torre C, Al-Daghri N, Alokail M, Bałkowiec-Iskra E, Bruyère O, Burlet N, Cavalier E, Cerreta F, Clark P, Cherubini A, Cooper C, D'Amelio P, Fuggle N, Gregson C, Halbout P, Kanis JA, Kaufman J, Laslop A, Maggi S, Maier A, Matijevic R, McCloskey E, Ormarsdóttir S, Yerro CP, Radermecker RP, Rolland Y, Singer A, Veronese N, Rizzoli R, Reginster JY, Harvey NC. Impact of dementia and mild cognitive impairment on bone health in older people. Aging Clin Exp Res 2024; 37:5. [PMID: 39725855 PMCID: PMC11671436 DOI: 10.1007/s40520-024-02871-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 10/20/2024] [Indexed: 12/28/2024]
Abstract
Mild cognitive impairment, dementia and osteoporosis are common diseases of ageing and, with the increasingly ageing global population, are increasing in prevalence. These conditions are closely associated, with shared risk factors, common underlying biological mechanisms and potential direct causal pathways. In this review, the epidemiological and mechanistic links between mild cognitive impairment, dementia and skeletal health are explored. Discussion will focus on how changes in brain and bone signalling can underly associations between these conditions, and will consider the molecular and cellular drivers in the context of inflammation and the gut microbiome. There is a complex interplay between nutritional changes, which may precede or follow the onset of mild cognitive impairment (MCI) or dementia, and bone health. Polypharmacy is common in patients with MCI or dementia, and there are difficult prescribing decisions to be made due to the elevated risk of falls associated with many drugs used for associated problems, which can consequently increase fracture risk. Some medications prescribed for cognitive impairment may directly impact bone health. In addition, patients may have difficulty remembering medication without assistance, meaning that osteoporosis drugs may be prescribed but not taken. Cognitive impairment may be improved or delayed by physical activity and exercise, and there is evidence for the additional benefits of physical activity on falls and fractures. Research gaps and priorities with the aim of reducing the burden of osteoporosis and fractures in people with MCI or dementia will also be discussed.
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Affiliation(s)
- Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Mario Miguel
- Centro de Estudos Egas Moniz, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Claire McEvoy
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Andrea Ticinesi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria Di Parma, Parma, Italy
| | - Carla Torre
- Faculdade de Farmácia, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003, Lisbon, Portugal
- Laboratory of Systems Integration Pharmacology, Clinical and Regulatory Science, Research Institute for Medicines of the University of Lisbon (iMED.ULisboa), Avenida Professor Gama Pinto, 1649-003, Lisbon, Portugal
| | - Nasser Al-Daghri
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, 11451, Riyadh, Kingdom of Saudi Arabia
| | - Majed Alokail
- Biochemistry Department, College of Science, KSU, Riyadh, Kingdom of Saudi Arabia
| | - Ewa Bałkowiec-Iskra
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Warsaw, Poland
- The Office for Registration of Medicinal Products, Medical Devices and Biocidal Products & CHMP, SAWP, CNSWP, PCWP, ETF (European Medicines Agency) Member, Warsaw, Poland
| | - Olivier Bruyère
- Research Unit in Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Physical Activity and Rehabilitation Sciences, University of Liège, Liège, Belgium
| | - Nansa Burlet
- Research Unit in Epidemiology, University of Liege, Liège, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, CIRM, University of Liège, CHU de Liège, Liège, Belgium
| | - Francesca Cerreta
- Digital Health and Geriatrics, European Medicines Agency, Amsterdam, The Netherlands
| | - Patricia Clark
- Clinical Epidemiology Unit, Hospital Infantil Federico Gómez-Facultad de Medicina, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Antonio Cherubini
- Geriatria, Accettazione Geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA Istituto Nazionale di Ricovero e Cura per Anziani, Ancona, Italy
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Patrizia D'Amelio
- Department of Medicine, Service of Geriatric Medicine & Geriatric Rehabilitation, University of Lausanne Hospital, University of Lausanne, Lausanne, Switzerland
| | - Nicholas Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Celia Gregson
- Musculoskeletal Research Unit, Bristol Medical School, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol, BS10 5NB, UK
- The Health Research Unit of Zimbabwe (THRU ZIM), The Biomedical Research and Training Institute, Harare, Zimbabwe
| | | | - John A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Jean Kaufman
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Andrea Laslop
- Scientific Office, Austrian Medicines and Medical Devices Agency, Vienna, Austria
| | | | - Andrea Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore
- Department of Human Movement Sciences, at AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Radmila Matijevic
- Faculty of Medicine in Novi Sad, University of Novi Sad, Novi Sad, Serbia
| | - Eugene McCloskey
- Mellanby Centre for Musculoskeletal Research, Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, UK
| | - Sif Ormarsdóttir
- Medicine Assessment and Licencing, Icelandic Medicines Agency, Reykjavik, Iceland
| | | | - Régis P Radermecker
- Department of Diabetes, Nutrition and Metabolic Disorders, Clinical Pharmacology, University of Liege, CHU de Liège, Liège, Belgium
| | - Yves Rolland
- HealthAge, CHU Toulouse, CERPOP UMR 1295, Inserm, Université Paul Sabatier, Toulouse, France
| | - Andrea Singer
- Departments of Obstetrics & Gynecology and Medicine, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Nicola Veronese
- Department of Internal Medicine, Geriatrics Section, University of Palermo, Palermo, Italy
| | - René Rizzoli
- Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Jean-Yves Reginster
- Protein Research Chair, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK.
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Trivedi D, Hollywood KA, Xu Y, Wu FCW, Trivedi DK, Goodacre R. Metabolomic heterogeneity of ageing with ethnic diversity: a step closer to healthy ageing. Metabolomics 2024; 21:9. [PMID: 39676138 PMCID: PMC11646956 DOI: 10.1007/s11306-024-02199-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 11/10/2024] [Indexed: 12/17/2024]
Abstract
INTRODUCTION Outside of case-control settings, ethnicity specific changes in the human metabolome are understudied especially in community dwelling, ageing men. Characterising serum for age and ethnicity specific features can enable tailored therapeutics research and improve our understanding of the interplay between age, ethnicity, and metabolism in global populations. OBJECTIVE A metabolomics approach was adopted to profile serum metabolomes in middle-aged and elderly men of different ethnicities from the Northwest of England, UK. METHODS Serum samples from 572 men of White European (WE), South Asian (SA), and African-Caribbean (AC) ethnicities, ranging between 40 and 86 years were analysed. A combination of liquid chromatography (LC) and gas chromatography (GC) coupled to high-resolution mass spectrometry (MS) was used to generate the metabolomic profiles. Partial Least Squares Discriminant Analysis (PLS-DA) based classification models were built and validated using resampling via bootstrap analysis and permutation testing. Features were putatively annotated using public Human Metabolome Database (HMDB) and Golm Metabolite Database (GMD). Variable Importance in Projection (VIP) scores were used to determine features of interest, after which pathway enrichment analysis was performed. RESULTS Using profiles from our analysis we classify subjects by their ethnicity with an average correct classification rate (CCR) of 90.53% (LC-MS data) and 85.58% (GC-MS data). Similar classification by age (< 60 vs. ≥ 60 years) returned CCRs of 90.20% (LC-MS) and 71.13% (GC-MS). VIP scores driven feature selection revealed important compounds from putatively annotated lipids (subclasses including fatty acids and carboxylic acids, glycerophospholipids, steroids), organic acids, amino acid derivatives as key contributors to the classifications. Pathway enrichment analysis using these features revealed statistically significant perturbations in energy metabolism (TCA cycle), N-Glycan and unsaturated fatty acid biosynthesis linked pathways amongst others. CONCLUSION We report metabolic differences measured in serum that can be attributed to ethnicity and age in healthy population. These results strongly emphasise the need to consider confounding effects of inherent metabolic variations driven by ethnicity of participants in population-based metabolic profiling studies. Interpretation of energy metabolism, N-Glycan and fatty acid biosynthesis should be carefully decoupled from the underlying differences in ethnicity of participants.
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Affiliation(s)
- Dakshat Trivedi
- Centre for Metabolomics Research (CMR), Department of Biochemistry, Cell, and Systems Biology, Institute of Systems Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Clinical Metabolomics Unit (CMU), Human Development and Health, Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Katherine A Hollywood
- Manchester Institute of Biotechnology (MIB), School of Chemistry, University of Manchester, Manchester, UK
| | - Yun Xu
- Centre for Metabolomics Research (CMR), Department of Biochemistry, Cell, and Systems Biology, Institute of Systems Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Fredrick C W Wu
- Andrology Research Unit (ARU), Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Drupad K Trivedi
- Manchester Institute of Biotechnology (MIB), School of Chemistry, University of Manchester, Manchester, UK.
| | - Royston Goodacre
- Centre for Metabolomics Research (CMR), Department of Biochemistry, Cell, and Systems Biology, Institute of Systems Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
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Carter C, Roche M, Whitfield E, Budgett J, Morgan-Trimmer S, Zabihi S, Birks Y, Walter F, Wilberforce M, Jiang J, Ahmed R, Dowridge W, Marshall CR, Cooper C. Equality of opportunity for timely dementia diagnosis (EQUATED): a qualitative study of how people from minoritised ethnic groups experience the early symptoms of dementia and seek help. Age Ageing 2024; 53:afae244. [PMID: 39562343 PMCID: PMC11576135 DOI: 10.1093/ageing/afae244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Indexed: 11/21/2024] Open
Abstract
INTRODUCTION People from minoritised ethnic groups are diagnosed with dementia later in the disease. We explored pathways that may determine the timing of diagnoses in a UK ethnically diverse, urban area. METHODS We conducted 61 semi-structured interviews: 10 community-dwelling older people from minoritised ethnic backgrounds with diagnosed and undiagnosed dementia (mean age = 72 years; males = 5/10), 30 family members (51; 10/30), 16 health or social care professionals (42; 3/15), 3 paid carers and 2 interpreters for people with dementia. We used reflexive thematic analysis and the Model of Pathways to Treatment to consider diagnostic delay. FINDINGS We identified three themes: (1) Cultural identity and practices shape responses: gendered expectations that families relieve elders of household roles reduce awareness or concern when functioning declines; expectations that religious practices are maintained mean problems doing so triggers help-seeking. Second-generation family members often held insider and outsider identities, balancing traditional and Western perspectives. (2) Becoming like a tourist: daily experiences became unfamiliar for people developing dementia in an adopted country, sometimes engendering a need to reconnect with a home country. For professionals and interpreters, translating meanings faithfully, and balancing relatives' and clients' voices, were challenging. (3) Naming and conceptualising dementia: the term dementia was stigmatised, with cultural nuances in how it was understood; initial presentations often included physical symptoms with cognitive concerns. CONCLUSION Greater understanding of dilemmas faced by minoritised ethnic communities, closer collaboration with interpreters and workforce diversity could reduce time from symptom appraisal to diagnosis, and support culturally competent diagnostic assessments.
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Affiliation(s)
- Christine Carter
- Queen Mary University of London Wolfston Institution of Population Health—Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Yvonne Carter House, London E1 2AD, UK
| | | | - Elenyd Whitfield
- Queen Mary University of London Wolfston Institution of Population Health—Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Yvonne Carter House, London E1 2AD, UK
| | - Jessica Budgett
- Queen Mary University of London Wolfston Institution of Population Health—Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Yvonne Carter House, London E1 2AD, UK
| | | | - Sedigheh Zabihi
- Queen Mary University of London Wolfston Institution of Population Health—Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Yvonne Carter House, London E1 2AD, UK
| | - Yvonne Birks
- University of York—Social Policy Research Unit, Heslington, York, North Yorkshire YO10 5DD, UK
| | - Fiona Walter
- Queen Mary University of London Faculty of Medicine and Dentistry—Wolfson Institute of Population Health, London, Charter House Square EC1M 6BQ, UK
| | - Mark Wilberforce
- University of Exeter Medical School, Health and Community Services Exeter, UK
| | - Jessica Jiang
- UCL—Dementia Research Centre, London WC1N 3BG, UK
- UCL Queen Square Institute of Neurology, London, UK
| | - Refah Ahmed
- East London NHS Foundation Trust Ringgold standard institution—Academic Centre Unit for Social and Community Psychiatry Centre for Mental Health, London, UK
| | - Wesley Dowridge
- Queen Mary University of London Faculty of Medicine and Dentistry—Wolfson Institute of Population Health, London, Charter House Square EC1M 6BQ, UK
| | - Charles R Marshall
- Queen Mary University of London Faculty of Medicine and Dentistry—Wolfson Institute of Population Health, London, Charter House Square EC1M 6BQ, UK
| | - Claudia Cooper
- Queen Mary University of London Wolfston Institution of Population Health—Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Yvonne Carter House, London E1 2AD, UK
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Krishnan A, Pathak A, Nicholas TB, Lee J, Waite L, Stanaway F. Racial and ethnic minority representation in dementia risk factor research: a scoping review of cohort studies. BMJ Open 2024; 14:e085592. [PMID: 39322589 PMCID: PMC11733783 DOI: 10.1136/bmjopen-2024-085592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 08/29/2024] [Indexed: 09/27/2024] Open
Abstract
BACKGROUND Despite a potentially greater burden of dementia, racial and ethnic minority populations around the world may be more likely to be excluded from research examining risk factors for incident dementia. We aimed to systematically investigate and quantify racial and ethnic minority representation in dementia risk factor research. METHODS We performed a two-stage systematic search of databases-MEDLINE (Ovid SP), Embase (Ovid SP) and Scopus-from inception to March 2021 to identify population-based cohort studies looking at risk factors for dementia incidence. We included cohort studies which were population-based and incorporated a clinical dementia diagnosis. RESULTS Out of the 97 identified cohort studies, fewer than half (40 studies; 41%) reported the race or ethnicity of participants and just under one-third (29 studies; 30%) reported the inclusion of racial and ethnic minority groups. We found that inadequate reporting frequently prevented assessment of selection bias and only six studies that included racial and ethnic minority participants were at low risk for measurement bias in dementia diagnosis. In cohort studies including a multiethnic cohort, only 182 out of 337 publications incorporated race or ethnicity in data analysis-predominantly (90%) through adjustment for race or ethnicity as a confounder. Only 14 publications (4.2% of all publications reviewed) provided evidence about drivers of any observed inequalities. CONCLUSIONS Racial and ethnic minority representation in dementia risk factor research is inadequate. Comparisons of dementia risk between different racial and ethnic groups are likely hampered by significant selection and measurement bias. Moreover, the focus on 'adjusting out' the effect of race and ethnicity as a confounder prevents understanding of underlying drivers of observed inequalities. There is a pressing need to fundamentally change the way race, ethnicity and the inclusion of racial and ethnic minorities are considered in research if health inequalities are to be adequately addressed.
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Affiliation(s)
- Arjun Krishnan
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Anupa Pathak
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Jeffrey Lee
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Louise Waite
- Faculty of Medicine and Health, The University of Sydney Concord Clinical School, Sydney, New South Wales, Australia
- Centre for Education and Research on Ageing, The University of Sydney, Sydney, New South Wales, Australia
| | - Fiona Stanaway
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
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Bokinni Y. Dementia: Africa's unique opportunity for prevention amid rising cases. BMJ 2024; 386:q1637. [PMID: 39222966 DOI: 10.1136/bmj.q1637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
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Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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Sim YJ, Townsend RF, Mills S, Stocker R, Stevenson E, McEvoy C, Fairley AM. Understanding engagement in diet and dementia prevention research among British South Asians: a short report of findings from a patient and public involvement group. J Hum Nutr Diet 2024; 37:899-908. [PMID: 38713734 DOI: 10.1111/jhn.13316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/07/2024] [Accepted: 04/20/2024] [Indexed: 05/09/2024]
Abstract
BACKGROUND Dementia is a global public health challenge. Evidence suggests that individuals from South Asian communities are an at-risk group for dementia, partly as a result of early and cumulative exposure to known dementia risk factors, such as obesity and type 2 diabetes. There needs to be more culturally appropriate community engagement to increase awareness of dementia and identify better strategies to encourage participation in dementia-related research. METHODS We aimed to better understand the barriers and facilitators towards engaging with, and participating in, diet and dementia related research among British South Asians. This was achieved using a public and patient involvement (PPI) approach. A community-based, engagement event involving information sharing from experts and roundtable discussions with South Asian communities (n = 26 contributors) was held in June 2023 in Newcastle-upon-Tyne, UK. Collaboration from preidentified PPI representatives (n = 3) informed the content and structure of PPI activities, as well as recruitment. Data were synthesised using template analysis, a form of codebook thematic analysis. This involved deductively analysing data using relevant a priori themes, which were expanded upon, or modified, via inductive analysis. RESULTS The findings highlighted the importance of trust, representation and appreciation of cultural barriers as facilitators to engagement in diet and dementia risk reduction research. Consideration of language barriers, time constraints, social influences and how to embed community outreach activities were reported as driving factors to maximise participation. CONCLUSIONS This PPI work will inform the design and co-creation of a culturally adapted dietary intervention for brain health in accordance with the Medical Research Council and National Institute for Health and Care Research guidance for developing complex interventions.
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Affiliation(s)
- Yi J Sim
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Rebecca F Townsend
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Susanna Mills
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Rachel Stocker
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Emma Stevenson
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Claire McEvoy
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Andrea M Fairley
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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10
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Mukadam N, Wolters FJ, Walsh S, Wallace L, Brayne C, Matthews FE, Sacuiu S, Skoog I, Seshadri S, Beiser A, Ghosh S, Livingston G. Changes in prevalence and incidence of dementia and risk factors for dementia: an analysis from cohort studies. Lancet Public Health 2024; 9:e443-e460. [PMID: 38942556 DOI: 10.1016/s2468-2667(24)00120-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/09/2024] [Accepted: 05/20/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND Some cohort studies have reported a decline in dementia prevalence and incidence over time, although these findings have not been consistent across studies. We reviewed evidence on changes in dementia prevalence and incidence over time using published population-based cohort studies that had used consistent methods with each wave and aimed to quantify associated changes in risk factors over time using population attributable fractions (PAFs). METHODS We searched for systematic reviews of cohort studies examining changes in dementia prevalence or incidence over time. We searched PubMed for publications from database inception up to Jan 12, 2023, using the search terms "systematic review" AND "dementia" AND ("prevalence" OR "incidence"), with no language restrictions. We repeated this search on March 28, 2024. From eligible systematic reviews, we searched the references and selected peer-reviewed publications about cohort studies where dementia prevalence or incidence was measured in the same geographical location, at a minimum of two timepoints, and that reported age-standardised prevalence or incidence of dementia. Additionally, data had to be from population-based samples, in which participants' cognitive status was assessed and where validated criteria were used to diagnose dementia. We extracted summary-level data from each paper about dementia risk factors, contacting authors when such data were not available in the published paper, and calculated PAFs for each risk factor at all available timepoints. Where possible, we linked changes in dementia prevalence or incidence with changes in the prevalence of risk factors. FINDINGS We identified 1925 records in our initial search, of which five eligible systematic reviews were identified. Within these systematic reviews, we identified 71 potentially eligible primary papers, of which 27 were included in our analysis. 13 (48%) of 27 primary papers reported change in prevalence of dementia, ten (37%) reported change in incidence of dementia, and four (15%) reported change in both incidence and prevalence of dementia. Studies reporting change in dementia incidence over time in Europe (n=5) and the USA (n=5) consistently reported a declining incidence in dementia. One study from Japan reported an increase in dementia prevalence and incidence and a stable incidence was reported in one study from Nigeria. Overall, across studies, the PAFs for less education or smoking, or both, generally declined over time, whereas PAFs for obesity, hypertension, and diabetes generally increased. The decrease in PAFs for less education and smoking was associated with a decline in the incidence of dementia in the Framingham study (Framingham, MA, USA, 1997-2013), the only study with sufficient data to allow analysis. INTERPRETATION Our findings suggest that lifestyle interventions such as compulsory education and reducing rates of smoking through country-level policy changes could be associated with an observed reduction, and therefore future reduction, in the incidence of dementia. More studies are needed in low-income and middle-income countries, where the burden of dementia is highest, and continues to increase. FUNDING National Institute for Health and Care Research Three Schools' Dementia Research Programme.
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Affiliation(s)
- Naaheed Mukadam
- UCL Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Frank J Wolters
- Department of Epidemiology and Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Lindsay Wallace
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Fiona E Matthews
- Institute for Clinical and Applied Health Research, University of Hull, Hull, UK
| | - Simona Sacuiu
- Cognitive Disorders Clinic, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden; Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden; Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology (EPINEP) and Centre for Ageing and Health (AgeCap), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Psychiatry Cognition and Old Age Psychiatry Department in Mölndal, Sahlgrenska University Hospital, Region Västra Götaland, Sweden
| | - Ingmar Skoog
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology (EPINEP) and Centre for Ageing and Health (AgeCap), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Psychiatry Cognition and Old Age Psychiatry Department in Mölndal, Sahlgrenska University Hospital, Region Västra Götaland, Sweden
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Neurology, Chobanian and Avedisian School of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Alexa Beiser
- Department of Neurology, Chobanian and Avedisian School of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - Saptaparni Ghosh
- Department of Neurology, Chobanian and Avedisian School of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Gill Livingston
- UCL Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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11
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Hoverd E, Effiom V, Gravesande D, Hollowood L, Kelly T, Mukuka E, Owatemi T, Sargeant I, Ward S, Spencer R, Edge D, Dale J, Staniszewska S. Understanding the inclusion and participation of adults from Black African Diaspora Communities (BAFDC) in health and care research in the UK: a realist review protocol. BMJ Open 2024; 14:e082564. [PMID: 38553075 PMCID: PMC10982753 DOI: 10.1136/bmjopen-2023-082564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/13/2024] [Indexed: 04/02/2024] Open
Abstract
INTRODUCTION People from Black African Diaspora Communities (BAFDC) experience poorer health outcomes, have many long-term conditions and are persistently under-represented in health and care research. There is limited focus on programmes, or interventions that support inclusion and participation of people from BAFDC in research. Through coproduction, this realist review seeks to provide a programme theory explaining what context and mechanisms may be required, to produce outcomes that facilitate inclusion and participation for people from BAFDC in health and care research, in the UK. METHODS AND ANALYSIS A group of people from BAFDC with lived and professional experience, representing all levels of the health and care research system, will coproduce a realist review with a team of African-Caribbean, white British and white British of Polish origin health and care researchers. They will follow Pawson's five steps: (1) shaping the scope of the review; (2) searching for evidence; (3) document selection and appraisal; (4) data extraction and (5) data synthesis. The coproduction group will help to map the current landscape, identifying key issues that may inhibit or facilitate inclusion. Data will be extracted, analysed and synthesised following realist logic analysis, identifying and explaining how context and mechanisms are conceptualised in the literature and the types of contextual factors that exist and impact on inclusion and participation. Findings will be reported in accordance with Realist and Meta-narrative Evidence Synthesis Evolving Standards . ETHICS AND DISSEMINATION The coproduction group will agree an ethical approach considering accountability, responsibility and power dynamics, by establishing a terms of reference, taking a reflexive approach and coproducing an ethical framework. Findings will be disseminated to BAFDC and the research community through arts-based methods, peer-reviewed publications and conference presentations, agreeing a coproduced strategy for dissemination. Ethical review is not required. PROSPERO REGISTRATION NUMBER CRD42024517124.
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Affiliation(s)
- Eleanor Hoverd
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Violet Effiom
- NIHR Clinical Research Network West Midlands, Coventry, UK
| | | | | | | | | | | | | | | | - Rachel Spencer
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Dawn Edge
- University of Manchester, Manchester, UK
| | - Jeremy Dale
- Warwick Medical School, University of Warwick, Coventry, UK
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12
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Adesuyan M, Jani YH, Alsugeir D, Howard R, Ju C, Wei L, Brauer R. Phosphodiesterase Type 5 Inhibitors in Men With Erectile Dysfunction and the Risk of Alzheimer Disease: A Cohort Study. Neurology 2024; 102:e209131. [PMID: 38324745 PMCID: PMC10890837 DOI: 10.1212/wnl.0000000000209131] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/21/2023] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Repurposing phosphodiesterase type 5 inhibitors (PDE5Is) as drugs for Alzheimer disease (AD) risk reduction has shown promise based on animal studies. However, evidence in humans remains inconclusive. Therefore, we conducted a cohort study to evaluate the association between PDE5I initiation compared with nonuse and the risk of developing AD in men with erectile dysfunction (ED). METHODS Using electronic health records from IQVIA Medical Research Data UK (formerly known as the THIN database), we identified men aged ≥40 years with a new diagnosis of ED between 2000 and 2017. Individuals with a previous diagnosis of dementia, cognitive impairment, confusion, or prescription for dementia symptoms were excluded. The occurrence of incident AD was identified using diagnostic read codes. To minimize immortal-time bias, PDE5I initiation was treated as a time-varying exposure variable. Potential confounders were adjusted using inverse probability of treatment weighting based on propensity scores. Cox proportional hazard models were used to estimate the adjusted hazard ratio (HR) with 95% CIs. A secondary analysis explored the association between AD and the cumulative number of PDE5I prescriptions. Sensitivity analyses included lag (delay) periods of 1 and 3 years after cohort entry to address the prodromal stage of AD. RESULTS The study included 269,725 men, with 1,119 newly diagnosed with AD during a median follow-up of 5.1 (interquartile range 2.9-8.9) years. The adjusted HR in PDE5I initiators compared with nonuse was 0.82 (95% CI 0.72-0.93). The associated risk of AD decreased in individuals issued >20 prescriptions: HR 0.56 (95% CI 0.43-0.73) for 21-50 prescriptions and HR 0.65 (95% CI 0.49-0.87) for >50 prescriptions. Sensitivity analysis with a 1-year lag period supported the primary findings (HR 0.82, 95% CI 0.72-0.94), but the results differed with the inclusion of a 3-year lag period (HR 0.93, 95% CI 0.80-1.08). DISCUSSION PDE5I initiation in men with ED was associated with a lower risk of AD, particularly in those most frequently issued prescriptions. The differences between primary and sensitivity analyses highlight the need to explore the optimal lag period. To enhance the generalizability of our findings, a randomized controlled trial including both sexes and exploring various PDE5I doses would be beneficial to confirm the association between PDE5I and AD.
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Affiliation(s)
- Matthew Adesuyan
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Yogini H Jani
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Dana Alsugeir
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Robert Howard
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Chengsheng Ju
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Li Wei
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
| | - Ruth Brauer
- From the Research Department of Practice and Policy (M.A., Y.H.J., D.A., C.J., L.W., R.B.), UCL School of Pharmacy; Centre for Medicines Optimisation Research and Education (M.A., Y.H.J.), University College London Hospitals NHS Foundation Trust, United Kingdom; Pharmacy Practice Department (D.A.), College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; and Division of Psychiatry (R.H.), University College London, United Kingdom
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13
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Liu J, Li X, Yu W, Liu B, Yu W, Zhang W, Hu C, Qin Z, Chen Y, Lü Y. Prediction of survival of persons with advanced dementia using the advanced dementia prognostic tool: A 2-year prospective study. Geriatr Nurs 2024; 55:64-70. [PMID: 37976557 DOI: 10.1016/j.gerinurse.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND In this prospective study, we evaluated the usefulness of the advanced dementia prognostic tool (ADEPT) for estimating the 2-year survival of persons with advanced dementia (AD) in China. METHODS The study predicted the 2-year mortality of 115 persons with AD using the ADEPT score. RESULTS In total, 115 persons with AD were included in the study. Of these persons, 48 died. The mean ADEPT score was 13.0. The AUROC for the prediction of the 2-year mortality rate using the ADEPT score was 0.62. The optimal threshold of the ADEPT score was 11.2, which had an AUROC of 0.63, specificity of 41.8, and sensitivity of 83.3. CONCLUSIONS The ADEPT score based on a threshold of 11.2 may serve as a prognostic tool to determine the 2-year survival rate of persons with AD in Chongqing, China. However, further studies are needed to explore the nature of this relationship.
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Affiliation(s)
- Junjin Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xuebing Li
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Weihua Yu
- Institutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China
| | - Bei Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Wuhan Yu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Wenbo Zhang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Cheng Hu
- Institutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China
| | - Zhangjin Qin
- Institutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China
| | - Yu Chen
- Institutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Lü
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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14
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Newby D, Orgeta V, Marshall CR, Lourida I, Albertyn CP, Tamburin S, Raymont V, Veldsman M, Koychev I, Bauermeister S, Weisman D, Foote IF, Bucholc M, Leist AK, Tang EYH, Tai XY, Llewellyn DJ, Ranson JM. Artificial intelligence for dementia prevention. Alzheimers Dement 2023; 19:5952-5969. [PMID: 37837420 PMCID: PMC10843720 DOI: 10.1002/alz.13463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 10/16/2023]
Abstract
INTRODUCTION A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical trial recruitment and drug development. Artificial intelligence (AI) and machine learning (ML) may refine understanding. METHODS ML approaches are being developed in dementia prevention. We discuss exemplar uses and evaluate the current applications and limitations in the dementia prevention field. RESULTS Risk-profiling tools may help identify high-risk populations for clinical trials; however, their performance needs improvement. New risk-profiling and trial-recruitment tools underpinned by ML models may be effective in reducing costs and improving future trials. ML can inform drug-repurposing efforts and prioritization of disease-modifying therapeutics. DISCUSSION ML is not yet widely used but has considerable potential to enhance precision in dementia prevention. HIGHLIGHTS Artificial intelligence (AI) is not widely used in the dementia prevention field. Risk-profiling tools are not used in clinical practice. Causal insights are needed to understand risk factors over the lifespan. AI will help personalize risk-management tools for dementia prevention. AI could target specific patient groups that will benefit most for clinical trials.
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Affiliation(s)
- Danielle Newby
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, W1T 7BN, UK
| | - Charles R Marshall
- Preventive Neurology Unit, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, E1 4NS, UK
- Department of Neurology, Royal London Hospital, London, E1 1BB, UK
| | - Ilianna Lourida
- Population Health Sciences Institute, Newcastle University, Newcastle, NE2 4AX, UK
- University of Exeter Medical School, Exeter, EX1 2HZ, UK
| | - Christopher P Albertyn
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, UK
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, 37129, Italy
| | - Vanessa Raymont
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Michele Veldsman
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK
| | - Ivan Koychev
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Sarah Bauermeister
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - David Weisman
- Abington Neurological Associates, Abington, PA 19001, USA
| | - Isabelle F Foote
- Preventive Neurology Unit, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, E1 4NS, UK
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Magda Bucholc
- Cognitive Analytics Research Lab, School of Computing, Engineering & Intelligent Systems, Ulster University, Derry, BT48 7JL, UK
| | - Anja K Leist
- Institute for Research on Socio-Economic Inequality (IRSEI), Department of Social Sciences, University of Luxembourg, L-4365, Luxembourg
| | - Eugene Y H Tang
- Population Health Sciences Institute, Newcastle University, Newcastle, NE2 4AX, UK
| | - Xin You Tai
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, OX3 9DU, UK
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Oxford, OX3 9DU, UK
| | | | - David J. Llewellyn
- University of Exeter Medical School, Exeter, EX1 2HZ, UK
- The Alan Turing Institute, London, NW1 2DB, UK
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15
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Leahy TP, Simpson A, Sammon C, Ballard C, Gsteiger S. Estimating the prevalence of diagnosed Alzheimer disease in England across deprivation groups using electronic health records: a clinical practice research datalink study. BMJ Open 2023; 13:e075800. [PMID: 37879685 PMCID: PMC10603427 DOI: 10.1136/bmjopen-2023-075800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/26/2023] [Indexed: 10/27/2023] Open
Abstract
OBJECTIVE Estimate the prevalence of diagnosed Alzheimer's disease (AD) and early Alzheimer's disease (eAD) overall and stratified by age, sex and deprivation and combinations thereof in England on 1 January 2020. DESIGN Cross-sectional. SETTING Primary care electronic health record data, the Clinical Practice Research database linked with secondary care data, Hospital Episode Statistics (HES) and patient-level deprivation data, Index of Multiple Deprivation (IMD). OUTCOME MEASURES The prevalence per 100 000 of the population and corresponding 95% CIs for both diagnosed AD and eAD overall and stratified by covariates. Sensitivity analyses were conducted to assess the sensitivity of the population definition and look-back period. RESULTS There were 448 797 patients identified in the Clinical Practice Research Datalink that satisfied the study inclusion criteria and were eligible for HES and IMD linkage. For the main analysis of AD and eAD, 379 763 patients are eligible for inclusion in the denominator. This resulted in an estimated prevalence of diagnosed AD of 378.39 (95% CI, 359.36 to 398.44) per 100 000 and eAD of 292.81 (95% CI, 276.12 to 310.52) per 100 000. Prevalence estimates across main and sensitivity analyses for the entire AD study population were found to vary widely with estimates ranging from 137.48 (95% CI, 127.05 to 148.76) to 796.55 (95% CI, 768.77 to 825.33). There was significant variation in prevalence of diagnosed eAD when assessing the sensitivity with the look-back periods, as low as 120.54 (95% CI, 110.80 to 131.14) per 100 000, and as high as 519.01 (95% CI, 496.64 to 542.37) per 100 000. CONCLUSIONS The study found relatively consistent patterns of prevalence across both AD and eAD populations. Generally, the prevalence of diagnosed AD increased with age and increased with deprivation for each age category. Women had a higher prevalence than men. More granular levels of stratification reduced patient numbers and increased the uncertainty of point prevalence estimates. Despite this, the study found a relationship between deprivation and prevalence of AD.
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Affiliation(s)
| | - Alex Simpson
- Global Access, F Hoffmann-La Roche AG, Basel, Switzerland
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See RS, Thompson F, Russell S, Quigley R, Esterman A, Harriss LR, Hyde Z, Taylor S, Radford K, LoGiudice D, McDermott R, Livingston G, Strivens E. Potentially modifiable dementia risk factors in all Australians and within population groups: an analysis using cross-sectional survey data. Lancet Public Health 2023; 8:e717-e725. [PMID: 37633680 DOI: 10.1016/s2468-2667(23)00146-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 06/22/2023] [Accepted: 07/11/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Dementia is the second leading cause of disease burden in Australia. We aimed to calculate the population attributable fractions (PAFs) of dementia attributable to 11 of 12 previously identified potentially modifiable health and social risk factors (less education, hearing loss, hypertension, obesity, smoking, depression, social isolation, physical inactivity, diabetes, alcohol excess, air pollution, and traumatic brain injury), for Australians overall and three population groups (First Nations, and those of European and Asian ancestry). METHODS We calculated the prevalence of dementia risk factors (excluding traumatic brain injury) and PAFs, adjusted for communality, from the cross-sectional National Aboriginal and Torres Strait Islander Health Survey (2018-19), National Aboriginal and Torres Strait Islander Social Survey (2014-15), National Health Survey (2017-18), and General Social Survey (2014) conducted by the Australian Bureau of Statistics. We conducted sensitivity analyses using proxy estimates for traumatic brain injury (12th known risk factor) for which national data were not available. FINDINGS A large proportion (38·2%, 95% CI 37·2-39·2) of dementia in Australia was theoretically attributable to the 11 risk factors; 44·9% (43·1-46·7) for First Nations Australians, 36·4% (34·8-38·1) for European ancestry, and 33·6% (30·1-37·2) for Asian ancestry. Including traumatic brain injury increased the PAF to 40·6% (39·6-41·6) for all Australians. Physical inactivity (8·3%, 7·5-9·2), hearing loss (7·0%, 6·4-7·6), and obesity (6·6%, 6·0-7·3) accounted for approximately half of the total PAF estimates across Australia, and for all three population groups. INTERPRETATION Our PAF estimates indicate a substantial proportion of dementia in Australia is potentially preventable, which is broadly consistent with global trends and results from other countries. The highest potential for dementia prevention was among First Nations Australians, reflecting the enduring effect of upstream social, political, environmental, and economic disadvantage, leading to greater life-course exposure to dementia risk factors. Although there were common dementia risk factors across different population groups, prevention strategies should be informed by community consultation and be culturally and linguistically appropriate. FUNDING Australian National Health and Medical Research Council and University College London Hospitals' National Institute for Health Research (NIHR) Biomedical Research Centre, and North Thames NIHR Applied Research Collaboration.
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Affiliation(s)
- Rhiann Sue See
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia.
| | - Fintan Thompson
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia; Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia; University of South Australia, Adelaide, SA, Australia
| | - Sarah Russell
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia; College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
| | - Rachel Quigley
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia; College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
| | | | - Linton R Harriss
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia; Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia
| | - Zoë Hyde
- Western Australian Centre for Health and Ageing, The University of Western Australia, Perth, WA, Australia
| | - Sean Taylor
- Northern Territory Health, Top End, Northern Territory Government, Darwin, NT, Australia
| | - Kylie Radford
- Neuroscience Research Australia, Randwick, NSW, Australia; School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Dina LoGiudice
- Department of Aged Care, Royal Melbourne Hospital, Parkville, VIC, Australia; Department of Medicine, University of Melbourne, Parkville, VIC, Australia
| | - Robyn McDermott
- Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia; University of South Australia, Adelaide, SA, Australia
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Edward Strivens
- Cairns and Hinterland Hospital and Health Service, Queensland Health, Cairns, QLD, Australia; College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
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Barreto GE. Repurposing of Tibolone in Alzheimer's Disease. Biomolecules 2023; 13:1115. [PMID: 37509151 PMCID: PMC10377087 DOI: 10.3390/biom13071115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/05/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Alzheimer's disease (AD) is a debilitating neurodegenerative disease characterised by the accumulation of amyloid-beta and tau in the brain, leading to the progressive loss of memory and cognition. The causes of its pathogenesis are still not fully understood, but some risk factors, such as age, genetics, and hormones, may play a crucial role. Studies show that postmenopausal women have a higher risk of developing AD, possibly due to the decrease in hormone levels, especially oestrogen, which may be directly related to a reduction in the activity of oestrogen receptors, especially beta (ERβ), which favours a more hostile cellular environment, leading to mitochondrial dysfunction, mainly affecting key processes related to transport, metabolism, and oxidative phosphorylation. Given the influence of hormones on biological processes at the mitochondrial level, hormone therapies are of clinical interest to reduce the risk or delay the onset of symptoms associated with AD. One drug with such potential is tibolone, which is used in clinics to treat menopause-related symptoms. It can reduce amyloid burden and have benefits on mitochondrial integrity and dynamics. Many of its protective effects are mediated through steroid receptors and may also be related to neuroglobin, whose elevated levels have been shown to protect against neurological diseases. Its importance has increased exponentially due to its implication in the pathogenesis of AD. In this review, we discuss recent advances in tibolone, focusing on its mitochondrial-protective effects, and highlight how valuable this compound could be as a therapeutic alternative to mitigate the molecular pathways characteristic of AD.
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Affiliation(s)
- George E Barreto
- Department of Biological Sciences, University of Limerick, V94 T9PX Limerick, Ireland
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18
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Hazan J, Liu KY, Isaacs JD, Burns A, Howard R. Has COVID-19 affected dementia diagnosis rates in England? Int J Geriatr Psychiatry 2023; 38:e5976. [PMID: 37483060 PMCID: PMC10947017 DOI: 10.1002/gps.5976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/12/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND The COVID-19 pandemic impacted on the provision of care and routine activity of all National Health Service (NHS) services. While General Practitioner referrals to memory services in England have returned to pre-pandemic levels, the estimated dementia diagnosis rate (DDR) fell by 5.4% between March 2020 and February 2023. METHODS In this paper we explore whether this reduction is accurate or is an artefact of the way the NHS collects data. RESULTS We explore the processes that may have affected national dementia diagnosis rates during and following the COVID-19 pandemic. CONCLUSIONS We discuss what action could be taken to improve the DDR in the future.
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Affiliation(s)
- Jemma Hazan
- Division of PsychiatryUniversity College LondonLondonUK
| | - Kathy Y. Liu
- Division of PsychiatryUniversity College LondonLondonUK
| | - Jeremy D. Isaacs
- St George's University Hospitals NHS Foundation TrustLondonUK
- St George's, University of LondonLondonUK
| | | | - Robert Howard
- Division of PsychiatryUniversity College LondonLondonUK
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