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Kobayashi LC. Adverse Childhood Experiences and Later-Life Cognitive Aging: Persistent Methodological Challenges Limit the Evidence Base. J Gerontol A Biol Sci Med Sci 2024; 79:glae138. [PMID: 38920298 PMCID: PMC11200183 DOI: 10.1093/gerona/glae138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2024] Open
Affiliation(s)
- Lindsay C Kobayashi
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
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2
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Visontay R, Mewton L, Sunderland M, Chapman C, Slade T. Is low-level alcohol consumption really health-protective? A critical review of approaches to promote causal inference and recent applications. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:771-780. [PMID: 38643426 DOI: 10.1111/acer.15299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/16/2024] [Accepted: 02/29/2024] [Indexed: 04/22/2024]
Abstract
Heavy and disordered alcohol consumption is a known risk factor for several health conditions and is associated with considerable disease burden. However, at low-to-moderate levels, evidence suggests that drinking is associated with reduced risk for certain health outcomes. Whether these findings represent genuine protective effects or mere methodological artifacts remains unclear, but has substantial consequences for policy and practice. This critical review introduces methodological advances capable of enhancing causal inference from observational research, focusing on the 'G-methods' and Mendelian Randomization. We also present and evaluate recent research applying these methods and compare findings to the existing evidence base. Future directions are proposed for improving our causal understanding of the relationships between alcohol and long-term health outcomes.
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Affiliation(s)
- Rachel Visontay
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Louise Mewton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Matthew Sunderland
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Cath Chapman
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
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3
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Mayeda ER, Wu Y. Identifying Modifiable Determinants of Cognitive Decline and Dementia Risk: The Power of Evidence From Diverse Contexts. Neurology 2024; 102:e209293. [PMID: 38447108 DOI: 10.1212/wnl.0000000000209293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024] Open
Affiliation(s)
| | - Yingyan Wu
- From the Department of Epidemiology, University of California, Los Angeles
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4
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Kobayashi LC, Jones RN, Briceño EM, Rentería MA, Zhang Y, Meijer E, Langa KM, Lee J, Gross AL. Cross-national comparisons of later-life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices. Alzheimers Dement 2024; 20:2273-2281. [PMID: 38284801 PMCID: PMC10984496 DOI: 10.1002/alz.13694] [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: 07/31/2023] [Revised: 12/01/2023] [Accepted: 12/23/2023] [Indexed: 01/30/2024]
Abstract
The Harmonized Cognitive Assessment Protocol (HCAP) is a major innovation that provides, for the first time, harmonized data for cross-national comparisons of later-life cognitive functions that are sensitive to linguistic, cultural, and educational differences across countries. However, cognitive function does not lend itself to direct comparison across diverse populations without careful consideration of the best practices for such comparisons. This perspective discusses theoretical and methodological considerations and offers a set of recommended best practices for conducting cross-national comparisons of risk factor associations using HCAP data. Because existing and planned HCAP studies provide cognition data representing an estimated 75% of the global population ≥65 years of age, these recommended best practices will support high-quality comparative analyses of cognitive aging around the world. The principles described in this perspective are applicable to any researcher aiming to integrate or compare harmonized data on cognitive outcomes and their risk and protective factors across diverse populations.
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Affiliation(s)
- Lindsay C. Kobayashi
- Department of EpidemiologyCenter for Social Epidemiology and Population HealthUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
- Survey Research CenterUniversity of Michigan Institute for Social ResearchAnn ArborMichiganUSA
| | - Richard N. Jones
- Department of Psychiatry and Human BehaviorWarren Alpert Medical SchoolBrown UniversityProvidenceRhode IslandUSA
| | - Emily M. Briceño
- Department of Physical Medicine & RehabilitationUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Miguel Arce Rentería
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainDepartment of NeurologyColumbia University College of Physicians and SurgeonsNew York CityNew YorkUSA
| | - Yuan Zhang
- Department of Sociomedical SciencesColumbia UniversityNew York CityNew YorkUSA
- Robert N. Butler Columbia Aging CenterColumbia UniversityNew York CityNew YorkUSA
| | - Erik Meijer
- Center for Economic and Social ResearchUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Kenneth M. Langa
- Survey Research CenterUniversity of Michigan Institute for Social ResearchAnn ArborMichiganUSA
- Department of Internal MedicineUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
- Veterans Affairs Center for Clinical Management ResearchAnn ArborMichiganUSA
| | - Jinkook Lee
- Center for Economic and Social ResearchUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of EconomicsUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Alden L. Gross
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Center on Aging and HealthJohns Hopkins UniversityBaltimoreMarylandUSA
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5
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Thompson F, Russell S, Quigley R, Sagigi B, Miller G, Esterman A, Harriss LR, Taylor S, McDermott R, Strivens E. Dementia Risk Models in an Australian First Nations Population: Cross-Sectional Associations and Preparation for Follow-Up. J Alzheimers Dis Rep 2023; 7:543-555. [PMID: 37313487 PMCID: PMC10259055 DOI: 10.3233/adr-220093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 05/01/2023] [Indexed: 06/15/2023] Open
Abstract
Background Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia. Objective To adapt existing dementia risk models to cross-sectional dementia prevalence data from a First Nations population in the Torres Strait region of Australia in preparation for follow-up of participants. To explore the diagnostic utility of these dementia risk models at detecting dementia. Methods A literature review to identify existing externally validated dementia risk models. Adapting these models to cross-sectional data and assessing their diagnostic utility through area under the receiver operating characteristic curve (AUROC) analyses and calibration using Hosmer-Lemeshow Chi2. Results Seven risk models could be adapted to the study data. The Aging, Cognition and Dementia (AgeCoDe) study, the Framingham Heart Study (FHS), and the Brief Dementia Screening Indicator (BDSI) had moderate diagnostic utility in identifying dementia (i.e., AUROC >0.70) before and after points for older age were removed. Conclusion Seven existing dementia risk models could be adapted to this First Nations population, and three had some cross-sectional diagnostic utility. These models were designed to predict dementia incidence, so their applicability to identify prevalent cases would be limited. The risk scores derived in this study may have prognostic utility as participants are followed up over time. In the interim, this study highlights considerations when transporting and developing dementia risk models for First Nations populations.
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Affiliation(s)
- Fintan Thompson
- Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
- University of South Australia, SA, Australia
| | - Sarah Russell
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
| | - Rachel Quigley
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
| | - Betty Sagigi
- Queensland Health, Torres and Cape Hospital and Health Service, Thursday Island, QLD, Australia
| | - Gavin Miller
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
| | | | - Linton R. Harriss
- Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
| | - Sean Taylor
- Top End Health Service, Northern Territory Government, Darwin, NT, Australia
| | | | - Edward Strivens
- Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
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6
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Lavrencic LM, Delbaere K, Broe GA, Daylight G, Draper B, Cumming RG, Garvey G, Allan W, Hill TY, Lasschuit D, Schofield PR, Radford K. Dementia Incidence, APOE Genotype, and Risk Factors for Cognitive Decline in Aboriginal Australians: A Longitudinal Cohort Study. Neurology 2022; 98:e1124-e1136. [PMID: 35140131 DOI: 10.1212/wnl.0000000000013295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 12/17/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Aboriginal Australians are disproportionately affected by dementia, with incidence in remote populations approximately double non-Indigenous populations. This study aimed to identify dementia incidence and risk factors in Aboriginal Australians residing in urban areas, which are currently unknown. METHODS A population-based cohort of Aboriginal Australians aged 60+ was assessed at baseline and 6-year follow-up. Life-course risk factors (baseline) were examined for incident dementia or mild cognitive impairment (MCI) using logistic regression analyses; adjustments were made for age. APOE genotyping was available for 86 people. RESULTS Data were included from 155 participants aged 60-86 years (mean=65.70, SD=5.65; 59 male). There were 16 incident dementia cases (age-standardised rate 35.97/1,000 person-years, 95% CI 18.34-53.60); and 36 combined incident MCI and dementia cases. Older age (OR 2.29, 1.42-3.70), male sex (OR 4.14, 1.60-10.77), unskilled work history (OR 5.09, 1.95-13.26), polypharmacy (OR 3.11, 1.17-8.28), and past smoking (OR 0.24, 0.08-0.75) were associated with incident MCI/dementia in the final model. APOE ε4 allele frequency was 24%; heterozygous or homozygous ε4 was associated with incident MCI/dementia (bivariate OR 3.96, 1.25-12.50). DISCUSSION These findings provide the first evidence for higher dementia incidence in Aboriginal Australians from urban areas, where the majority of Aboriginal people reside. This study also sheds light on sociodemographic, health and genetic factors associated with incident MCI/dementia at older ages in this population, which is critical for targeted prevention strategies.
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Affiliation(s)
- Louise M Lavrencic
- Neuroscience Research Australia, Randwick, NSW, Australia 2031 .,University of New South Wales, Sydney, NSW, Australia 2052.,Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia 2052
| | - Kim Delbaere
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,University of New South Wales, Sydney, NSW, Australia 2052.,Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia 2052
| | - Gerald A Broe
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,University of New South Wales, Sydney, NSW, Australia 2052.,Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia 2052
| | - Gail Daylight
- Neuroscience Research Australia, Randwick, NSW, Australia 2031
| | - Brian Draper
- University of New South Wales, Sydney, NSW, Australia 2052.,Prince of Wales Hospital, Randwick, NSW, Australia 2031
| | - Robert G Cumming
- School of Public Health, University of Sydney, Camperdown, NSW, Australia 2006
| | - Gail Garvey
- Menzies School of Health Research, Brisbane, QLD, Australia 4000
| | - Wendy Allan
- Neuroscience Research Australia, Randwick, NSW, Australia 2031
| | - Thi Yen Hill
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,Prince of Wales Hospital, Randwick, NSW, Australia 2031
| | - Danielle Lasschuit
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,Prince of Wales Hospital, Randwick, NSW, Australia 2031
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,University of New South Wales, Sydney, NSW, Australia 2052
| | - Kylie Radford
- Neuroscience Research Australia, Randwick, NSW, Australia 2031.,University of New South Wales, Sydney, NSW, Australia 2052.,Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia 2052
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7
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Anstey KJ, Zheng L, Peters R, Kootar S, Barbera M, Stephen R, Dua T, Chowdhary N, Solomon A, Kivipelto M. Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines. Front Neurol 2022; 12:765454. [PMID: 35058873 PMCID: PMC8764151 DOI: 10.3389/fneur.2021.765454] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/07/2021] [Indexed: 12/24/2022] Open
Abstract
Dementia prevention is a global health priority. In 2019, the World Health Organisation published its first evidence-based guidelines on dementia risk reduction. We are now at the stage where we need effective tools and resources to assess dementia risk and implement these guidelines into policy and practice. In this paper we review dementia risk scores as a means to facilitate this process. Specifically, we (a) discuss the rationale for dementia risk assessment, (b) outline some conceptual and methodological issues to consider when reviewing risk scores, (c) evaluate some dementia risk scores that are currently in use, and (d) provide some comments about future directions. A dementia risk score is a weighted composite of risk factors that reflects the likelihood of an individual developing dementia. In general, dementia risks scores have a wide range of implementations and benefits including providing early identification of individuals at high risk, improving risk perception for patients and physicians, and helping health professionals recommend targeted interventions to improve lifestyle habits to decrease dementia risk. A number of risk scores for dementia have been published, and some are widely used in research and clinical trials e.g., CAIDE, ANU-ADRI, and LIBRA. However, there are some methodological concerns and limitations associated with the use of these risk scores and more research is needed to increase their effectiveness and applicability. Overall, we conclude that, while further refinement of risk scores is underway, there is adequate evidence to use these assessments to implement guidelines on dementia risk reduction.
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Affiliation(s)
- Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Lidan Zheng
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Ruth Peters
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Scherazad Kootar
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Ruth Stephen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tarun Dua
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Neerja Chowdhary
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Alina Solomon
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Miia Kivipelto
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.,Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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8
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Peters R, Breitner J, James S, Jicha GA, Meyer P, Richards M, Smith AD, Yassine HN, Abner E, Hainsworth AH, Kehoe PG, Beckett N, Weber C, Anderson C, Anstey KJ, Dodge HH. Dementia risk reduction: why haven't the pharmacological risk reduction trials worked? An in-depth exploration of seven established risk factors. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12202. [PMID: 34934803 PMCID: PMC8655351 DOI: 10.1002/trc2.12202] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 06/03/2021] [Accepted: 06/18/2021] [Indexed: 12/21/2022]
Abstract
Identifying the leading health and lifestyle factors for the risk of incident dementia and Alzheimer's disease has yet to translate to risk reduction. To understand why, we examined the discrepancies between observational and clinical trial evidence for seven modifiable risk factors: type 2 diabetes, dyslipidemia, hypertension, estrogens, inflammation, omega-3 fatty acids, and hyperhomocysteinemia. Sample heterogeneity and paucity of intervention details (dose, timing, formulation) were common themes. Epidemiological evidence is more mature for some interventions (eg, non-steroidal anti-inflammatory drugs [NSAIDs]) than others. Trial data are promising for anti-hypertensives and B vitamin supplementation. Taken together, these risk factors highlight a future need for more targeted sample selection in clinical trials, a better understanding of interventions, and deeper analysis of existing data.
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Affiliation(s)
- Ruth Peters
- Neuroscience ResearchSydneyNew South WalesAustralia
- Department of Psychology University of New South WalesSydneyNew South WalesAustralia
| | - John Breitner
- Douglas Hospital Research Center and McGill UniversityQuebecCanada
| | - Sarah James
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | | | - Pierre‐Francois Meyer
- Center for Studies on the Prevention of Alzheimer's Disease (PREVENT‐AD)VerdunQuebecCanada
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - A. David Smith
- OPTIMADepartment of PharmacologyUniversity of OxfordOxfordUK
| | - Hussein N. Yassine
- Departments of Medicine and NeurologyUniversity of Southern CaliforniaCaliforniaUSA
| | - Erin Abner
- University of KentuckyLexingtonKentuckyUSA
| | - Atticus H. Hainsworth
- Molecular and Clinical Sciences Research InstituteSt GeorgesUniversity of LondonLondonUK
- Department of NeurologySt George's HospitalLondonUK
| | | | | | | | - Craig Anderson
- The George Institute for Global HealthSydneyNew South WalesAustralia
| | - Kaarin J. Anstey
- Neuroscience ResearchSydneyNew South WalesAustralia
- Department of Psychology University of New South WalesSydneyNew South WalesAustralia
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9
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Zheng L, Godbee K, Steiner GZ, Daylight G, Ee C, Hill TY, Hohenberg MI, Lautenschlager NT, McDonald K, Pond D, Radford K, Anstey KJ, Peters R. Dementia risk reduction in practice: the knowledge, opinions and perspectives of Australian healthcare providers. Aust J Prim Health 2021; 27:136-142. [PMID: 33567248 DOI: 10.1071/py20189] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 11/17/2020] [Indexed: 11/23/2022]
Abstract
This study examined Australian primary healthcare providers' knowledge about dementia risk factors and risk reduction and their perspectives on barriers and enablers to risk reduction in practice. Primary healthcare providers were recruited through Primary Health Networks across Australia (n =51). Participants completed an online survey that consisted of fixed-responses and free-text components to assess their knowledge, attitudes and current practices relating to dementia risk factors and risk reduction techniques. The results showed that Australian primary healthcare providers have good knowledge about the modifiable risk factors for dementia; however, face several barriers to working with patients to reduce dementia risk. Commonly reported barriers included low patient motivation and healthcare system level limitations. The most commonly reported recommendations to helping primary healthcare providers to work with patients to reduce dementia risk included increasing resources and improving dementia awareness and messaging. While the results need to be interpreted in the context of the limitations of this study, we conclude that collaborative efforts between researchers, clinicians, policy makers and the media are needed to support the uptake of risk reduction activities in primary care settings.
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Affiliation(s)
- Lidan Zheng
- UNSW Psychology, Sydney, NSW, Australia; and Neuroscience Research Australia, Randwick, NSW, Australia; and UNSW Ageing Futures Institute, The University of New South Wales, Sydney, NSW, Australia; and Corresponding author
| | - Kali Godbee
- Department of General Practice, Melbourne Medical School, University of Melbourne, Parkville, Vic., Australia
| | - Genevieve Z Steiner
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Gail Daylight
- Neuroscience Research Australia, Randwick, NSW, Australia
| | - Carolyn Ee
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Thi Yen Hill
- Neuroscience Research Australia, Randwick, NSW, Australia; and Department of Aged Care, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Mark I Hohenberg
- School of Medicine, Western Sydney University, Sydney, NSW, Australia
| | - Nicola T Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, Vic., Australia; and NorthWestern Mental Health, Royal Melbourne Hospital, Melbourne, Vic., Australia
| | - Keith McDonald
- South Western Sydney PHN (SWSPHN), Sydney, NSW, Australia
| | - Dimity Pond
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
| | - Kylie Radford
- UNSW Psychology, Sydney, NSW, Australia; and Neuroscience Research Australia, Randwick, NSW, Australia; and UNSW Ageing Futures Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Kaarin J Anstey
- UNSW Psychology, Sydney, NSW, Australia; and Neuroscience Research Australia, Randwick, NSW, Australia; and UNSW Ageing Futures Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Ruth Peters
- UNSW Psychology, Sydney, NSW, Australia; and Neuroscience Research Australia, Randwick, NSW, Australia; and UNSW Ageing Futures Institute, The University of New South Wales, Sydney, NSW, Australia
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10
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Indorewalla KK, O’Connor MK, Budson AE, Guess (DiTerlizzi) C, Jackson J. Modifiable Barriers for Recruitment and Retention of Older Adults Participants from Underrepresented Minorities in Alzheimer's Disease Research. J Alzheimers Dis 2021; 80:927-940. [PMID: 33612540 PMCID: PMC8150544 DOI: 10.3233/jad-201081] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2021] [Indexed: 01/05/2023]
Abstract
Clinical Alzheimer's disease (AD) trials currently face a critical shortfall of thousands of eligible participants, which inflates the duration and cost of the clinical study as well as threatens the scientific merit of promising clinical interventions. This recruitment crisis is further compounded by the fact that underrepresented and marginalized populations-particularly those identifying as a racial or ethnic minority, those with low socioeconomic status, or living in rural areas-have been historically underrepresented in ongoing AD clinical trials despite overwhelming evidence that such populations are at increased risk for developing dementia. As a result of various recruitment barriers, current AD clinical studies frequently reflect a decreasingly representative segment of the US population, which threatens the overall generalizability of these findings. The current narrative review provides an updated examination and critique of common recruitment barriers and potential solutions, as well as a discussion of theoretical approaches that may address barriers disproportionately experienced by underrepresented communities. AD clinical researchers are encouraged to take purposive action aimed at increasing diversity of enrolled AD clinical trial cohorts by actively identifying and quantifying barriers to research participation-especially recruitment barriers and health disparities that disproportionately prevent underrepresented and marginalized populations from participating in research. Furthermore, researchers are encouraged to closely track which individuals who express interest in AD research ultimately enroll in research studies to examine whether AD research participation is appropriately representative of the intended population for whom these new and novel AD interventions are being designed.
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Affiliation(s)
| | - Maureen K. O’Connor
- Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA
- Boston University Alzheimer’s Disease Research Center, Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Andrew E. Budson
- Boston University Alzheimer’s Disease Research Center, Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | - Christina Guess (DiTerlizzi)
- Boston University Alzheimer’s Disease Research Center, Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Jonathan Jackson
- Boston University Alzheimer’s Disease Research Center, Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- CARE Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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11
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Wiese LK, Williams IC, Schoenberg NE, Galvin JE, Lingler J. Overcoming the COVID-19 Pandemic for Dementia Research: Engaging Rural, Older, Racially and Ethnically Diverse Church Attendees in Remote Recruitment, Intervention and Assessment. Gerontol Geriatr Med 2021; 7:23337214211058919. [PMID: 34825019 PMCID: PMC8609097 DOI: 10.1177/23337214211058919] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/13/2021] [Accepted: 10/18/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Access to cognitive screening in rural underserved communities is limited and was further diminished during the COVID-19 pandemic. We examined whether a telephone-based cognitive screening intervention would be effective in increasing ADRD knowledge, detecting the need for further cognitive evaluation, and making and tracking the results of referrals. METHOD Using a dependent t-test design, older, largely African American and Afro-Caribbean participants completed a brief educational intervention, pre/post AD knowledge measure, and cognitive screening. RESULTS Sixty of 85 eligible individuals consented. Seventy-percent of the sample self-reported as African American, Haitian Creole, or Hispanic, and 75% were female, with an average age of 70. AD knowledge pre-post scores improved significantly (t (49) = -3.4, p < .001). Of the 11 referred after positive cognitive screening, 72% completed follow-up with their provider. Five were newly diagnosed with dementia. Three reported no change in diagnosis or treatment. Ninety-percent consented to enrolling in a registry for future research. CONCLUSION Remote engagement is feasible for recruiting, educating, and conducting cognitive screening with rural older adults during a pandemic.
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Affiliation(s)
- Lisa Kirk Wiese
- C. E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA
| | | | | | - James. E. Galvin
- Professor of Neurology, University of Miami Miller School of
Medicine, Miami, FL, USA
| | - Jennifer Lingler
- School of Nursing, Health & Community
Systems, University of Pittsburgh, Pittsburgh, PA, USA
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12
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Abstract
Dementia poses important medical and societal challenges, and of all health risks people face in life, dementia is one of the most feared. Recent research indicates that up to about 40% of all cases of dementia might be preventable. A series of environmental, social, and medical risk-factors have been identified that should be targeted from midlife onwards when people are still cognitively healthy. At first glance, this seems not merely advisable, but even imperative. However, these new developments trigger a series of new ethical questions and concerns which have hardly been addressed to date. Pro-active ethical reflection, however, is crucial to ensure that the interests and well-being of those affected, ultimately all of us, are adequately respected. This is the goal of the current contribution. Against the background of a concrete case in primary dementia prevention, it provides a systematic overview of the current ethical literature and sketches an ethical research agenda. First, possible benefits of increased well-being must be balanced with the burdens of being engaged in particularly long-term interventions for which it is unclear whether they will ever pay out on a personal level. Second, while knowledge about one's options to maintain brain health might empower people, it might also undermine autonomy, put high social pressure on people, medicalize healthy adults, and stigmatize those who still develop dementia. Third, while synergistic effects might occur, the ideals of dementia prevention might also conflict with other health and non-health related values people hold in life.
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Affiliation(s)
- Dorothee Horstkötter
- MHeNS School for Mental Health and Neuroscience, Department of Health, Ethics and Society, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
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13
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Maccora J, Peters R, Anstey KJ. What does (low) education mean in terms of dementia risk? A systematic review and meta-analysis highlighting inconsistency in measuring and operationalising education. SSM Popul Health 2020; 12:100654. [PMID: 33313373 PMCID: PMC7721642 DOI: 10.1016/j.ssmph.2020.100654] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/09/2020] [Accepted: 08/15/2020] [Indexed: 12/19/2022] Open
Abstract
Low education is considered an important modifiable risk factor for dementia worldwide, despite the lack of a formal consensus definition of low education. The primary aim of this systematic review was to document and address the inconsistency in measuring and operationalising education in dementia studies. A secondary aim was to consider the dose of education required to reduce dementia risk. The protocol was registered at PROSPERO with registration ID CRD42018096168. CINAHL, Cochrane, PsycInfo, and Pubmed databases were searched using terms related to education, dementia and/or MCI, and incidence. Studies were eligible for inclusion if a risk ratio for education and any dementia, Alzheimer's Disease (AD), Vascular Dementia (VaD) or Mild Cognitive Impairment (MCI) was reported in a population cognitively healthy at baseline. Sample sizes for 65 studies meeting selection criteria ranged from 152 to 12,881, representing populations from 24 countries. Risk of bias, assessed using a tool designed specifically for dementia risk studies, was found to be medium or low for all studies. There were 23 continuous, 29 dichotomous, and 31 categorical operationalisations of education reported. Random effects meta-analyses from continuous operationalisations suggested each year of education reduced risk by eight percent for AD (95% CI:5-12%) and seven percent for any dementia (95% CI:6-9%). Dichotomous operationalisations indicated an increased risk for low education of 45% (95% CI:29-63%) for any dementia and 85% (95% CI:56-118%) for AD, however definitions of low education were heterogeneous, ranging from zero to 12 years. There were too few studies to produce summary ratios for VaD or MCI. We conclude that, while the evidence of an association between low education and dementia incidence is robust, inconsistency in the definition, measurement and operationalisation of education hinders the translation of this evidence into practical policy recommendations to reduce dementia risk.
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Affiliation(s)
- Janet Maccora
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Populating Ageing Research (CEPAR), Australia
| | - Ruth Peters
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Populating Ageing Research (CEPAR), Australia
| | - Kaarin J. Anstey
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
- Australian National University, Canberra, Australian Capital Territory, Australia
- Australian Research Council Centre of Excellence in Populating Ageing Research (CEPAR), Australia
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14
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Kobayashi LC, Farrell MT, Payne CF, Mall S, Montana L, Wagner RG, Kahn K, Tollman S, Berkman LF. Adverse childhood experiences and domain-specific cognitive function in a population-based study of older adults in rural South Africa. Psychol Aging 2020; 35:818-830. [PMID: 32700929 DOI: 10.1037/pag0000552] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Research on early life adversity and later-life cognitive function is conflicting, with little evidence from low-income settings. We investigated associations between adverse childhood experiences and cognitive function in an older population who grew up under racial segregation during South African apartheid. Data were from 1,871 adults aged 40-79 in the population-representative "Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" in 2015. The adverse childhood experiences were having a parent unemployed for > 6 months; having parents who argued or fought often; having a parent who drank excessively, used drugs, or had mental health problems; and physical abuse from parents. Executive function, language, visuospatial ability, and memory were assessed with the Oxford Cognitive Screen-Plus, a validated cognitive assessment designed for low-income, low-literacy settings. We estimated associations between adverse childhood experiences and latent cognitive domain z-scores using multiple-indicator, multiple-cause structural equation models. Childhood adversities were reported by 15% (parental unemployment for > 6 months), 25% (parents argued or fought often), 25% (a parent drank excessively, used drugs, or had mental health problems), and 35% (physical abuse from parent) of respondents. They were not associated with cognition, except that having a parent who drank excessively, used drugs, or had mental health problems was associated with lower memory z-scores (-0.07; 95% CI [-0.13, -0.01]). This is one of the first investigations into later-life cognitive outcomes associated with early adversity in a population with a historical context of pervasive trauma, and suggests that later-life memory may be vulnerable to early adversity. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
- Lindsay C Kobayashi
- Center for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health
| | - Meagan T Farrell
- Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health
| | - Collin F Payne
- School of Demography, Research School of Social Sciences, Australian National University
| | - Sumaya Mall
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand
| | | | - Ryan G Wagner
- MRC-Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, University of the Witwatersrand
| | - Kathleen Kahn
- MRC-Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, University of the Witwatersrand
| | - Stephen Tollman
- MRC-Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, University of the Witwatersrand
| | - Lisa F Berkman
- Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health
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15
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Fratiglioni L, Marseglia A, Dekhtyar S. Ageing without dementia: can stimulating psychosocial and lifestyle experiences make a difference? Lancet Neurol 2020; 19:533-543. [DOI: 10.1016/s1474-4422(20)30039-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 12/17/2022]
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16
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Anstey KJ, Peters R, Zheng L, Barnes DE, Brayne C, Brodaty H, Chalmers J, Clare L, Dixon RA, Dodge H, Lautenschlager NT, Middleton LE, Qiu C, Rees G, Shahar S, Yaffe K. Future Directions for Dementia Risk Reduction and Prevention Research: An International Research Network on Dementia Prevention Consensus. J Alzheimers Dis 2020; 78:3-12. [PMID: 32925063 PMCID: PMC7609069 DOI: 10.3233/jad-200674] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2020] [Indexed: 12/26/2022]
Abstract
In the past decade a large body of evidence has accumulated on risk factors for dementia, primarily from Europe and North America. Drawing on recent integrative reviews and a consensus workshop, the International Research Network on Dementia Prevention developed a consensus statement on priorities for future research. Significant gaps in geographical location, representativeness, diversity, duration, mechanisms, and research on combinations of risk factors were identified. Future research to inform dementia risk reduction should fill gaps in the evidence base, take a life-course, multi-domain approach, and inform population health approaches that improve the brain-health of whole communities.
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Affiliation(s)
- Kaarin J. Anstey
- UNSW Aging Futures Institute, School of Psychology, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia (NeuRA), Randwick, NSW, Australia
| | - Ruth Peters
- UNSW Aging Futures Institute, School of Psychology, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia (NeuRA), Randwick, NSW, Australia
| | - Lidan Zheng
- UNSW Aging Futures Institute, School of Psychology, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia (NeuRA), Randwick, NSW, Australia
| | - Deborah E. Barnes
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Forvie Site, Cambridge, UK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - John Chalmers
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Linda Clare
- College of Medicine and Health, University of Exeter, St Luke’s Campus, Exeter, UK
| | - Roger A. Dixon
- Neuroscience and Mental Health Institute, Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Hiroko Dodge
- Layton Aging and Alzheimer’s Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
- Michigan Alzheimer’s Disease Center, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Michigan Alzheimer’s Disease Center, University of Michigan, Ann Arbor, MI, USA
| | - Nicola T. Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
- NorthWestern Mental Health, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Laura E. Middleton
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Chengxuan Qiu
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Glenn Rees
- Alzheimer’s Disease International, London, UK
| | - Suzana Shahar
- Center for Healthy Ageing & Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
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17
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Anstey KJ, Peters R. Dementia, Risk, Risk Reduction, and Translation into Practice: An International Research Network for Dementia Prevention (IRNDP) Special Issue. J Alzheimers Dis 2019; 70:S1-S3. [PMID: 31356212 PMCID: PMC6700648 DOI: 10.3233/jad-190506] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Kaarin J. Anstey
- University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Ruth Peters
- University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
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