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Van Asbroeck S, Köhler S, van Boxtel MPJ, Lipnicki DM, Crawford JD, Castro-Costa E, Lima-Costa MF, Blay SL, Shifu X, Wang T, Yue L, Lipton RB, Katz MJ, Derby CA, Guerchet M, Preux PM, Mbelesso P, Norton J, Ritchie K, Skoog I, Najar J, Sterner TR, Scarmeas N, Yannakoulia M, Dardiotis T, Rolandi E, Davin A, Rossi M, Gureje O, Ojagbemi A, Bello T, Kim KW, Han JW, Oh DJ, Trompet S, Gussekloo J, Riedel-Heller SG, Röhr S, Pabst A, Shahar S, Rivan NFM, Singh DKA, Jacobsen E, Ganguli M, Hughes T, Haan M, Aiello AE, Ding D, Zhao Q, Xiao Z, Narazaki K, Chen T, Chen S, Ng TP, Gwee X, Gao Q, Brodaty H, Trollor J, Kochan N, Lobo A, Santabárbara J, Gracia-Garcia P, Sachdev PS, Deckers K. Lifestyle and incident dementia: A COSMIC individual participant data meta‐analysis. Alzheimers Dement 2024. [PMID: 38676366 DOI: 10.1002/alz.13846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024]
Abstract
INTRODUCTION The LIfestyle for BRAin Health (LIBRA) index yields a dementia risk score based on modifiable lifestyle factors and is validated in Western samples. We investigated whether the association between LIBRA scores and incident dementia is moderated by geographical location or sociodemographic characteristics. METHODS We combined data from 21 prospective cohorts across six continents (N = 31,680) and conducted cohort-specific Cox proportional hazard regression analyses in a two-step individual participant data meta-analysis. RESULTS A one-standard-deviation increase in LIBRA score was associated with a 21% higher risk for dementia. The association was stronger for Asian cohorts compared to European cohorts, and for individuals aged ≤75 years (vs older), though only within the first 5 years of follow-up. No interactions with sex, education, or socioeconomic position were observed. DISCUSSION Modifiable risk and protective factors appear relevant for dementia risk reduction across diverse geographical and sociodemographic groups. HIGHLIGHTS A two-step individual participant data meta-analysis was conducted. This was done at a global scale using data from 21 ethno-regionally diverse cohorts. The association between a modifiable dementia risk score and dementia was examined. The association was modified by geographical region and age at baseline. Yet, modifiable dementia risk and protective factors appear relevant in all investigated groups and regions.
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Affiliation(s)
- Stephanie Van Asbroeck
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Martin P J van Boxtel
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Erico Castro-Costa
- René Rachou Institute, Fiocruz Minas, Belo Horizonte, Minas Gerais, Brazil
| | | | - Sergio Luis Blay
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Xiao Shifu
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Maëlenn Guerchet
- Inserm U1094, IRD UMR270, University Limoges, CHU Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Pierre-Marie Preux
- Inserm U1094, IRD UMR270, University Limoges, CHU Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Pascal Mbelesso
- Department of Neurology, Amitié Hospital, Bangui, Central African Republic
| | - Joanna Norton
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Karen Ritchie
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
- Institut du Cerveau Trocadéro, Paris, France
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, at the University of Gothenburg, Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Jenna Najar
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, at the University of Gothenburg, Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
- Department of Clinical Genetics, Section Genomics of Neurodegenerative Diseases and Aging, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Therese Rydberg Sterner
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, at the University of Gothenburg, Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Elena Rolandi
- Golgi Cenci Foundation, Milan, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | | | | | - Oye Gureje
- Department of Psychiatry, WHO Collaborating Centre for Research and Training in Mental Health, Neuroscience and Substance Abuse, University of Ibadan, Ibadan, Nigeria
| | - Akin Ojagbemi
- Department of Psychiatry, College of Medicine University of Ibadan, Ibadan, Nigeria
| | - Toyin Bello
- Department of Psychiatry, College of Medicine University of Ibadan, Ibadan, Nigeria
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dae Jong Oh
- Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Stella Trompet
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Jacobijn Gussekloo
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
- Health and Ageing Research Team (HART), School of Psychology, Massey University, Palmerston North, Aotearoa New Zealand
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Suzana Shahar
- Center for Healthy Ageing & Wellness (H-CARE), Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nurul Fatin Malek Rivan
- Center for Healthy Ageing & Wellness (H-CARE), Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Devinder Kaur Ajit Singh
- Center for Healthy Ageing & Wellness (H-CARE), Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Erin Jacobsen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Mary Ganguli
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Departments of Neurology, and Epidemiology, University of Pittsburgh School of Medicine and School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Tiffany Hughes
- Department of Graduate Studies in Health and Rehabilitation Sciences, Bitonte College of Health and Human Services, Youngstown State University, Youngstown, Ohio, USA
| | - Mary Haan
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Allison E Aiello
- Columbia Aging Center and the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Ding Ding
- Institute of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- Institute of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Kenji Narazaki
- Center for Liberal Arts, Fukuoka Institute of Technology, Higashi-ku, Fukuoka, Japan
| | - Tao Chen
- Department of Physical Education, Sports and Health Research Center, Tongji University, Shanghai, China
| | - Sanmei Chen
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Tze Pin Ng
- Department of Psychological Medicine, Gerontology Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xinyi Gwee
- Department of Psychological Medicine, Gerontology Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Qi Gao
- Department of Psychological Medicine, Gerontology Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Santabárbara
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
- Department of Public Health, Universidad de Zaragoza, Zaragoza, Spain
| | - Patricia Gracia-Garcia
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Kay Deckers
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, The Netherlands
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: The COSMIC consortium. Alzheimers Dement (Amst) 2024; 16:e12567. [PMID: 38487075 PMCID: PMC10937819 DOI: 10.1002/dad2.12567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/18/2024] [Accepted: 02/06/2024] [Indexed: 03/17/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and/or from different geographical regions. METHODS We investigated how WMHs were associated with vascular risk factors and cognition in both Whites and Asians, using data from five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1946). WMH volumes (whole brain, periventricular, and deep) were quantified with UBO Detector and harmonized using the ComBat model. We also harmonized various vascular risk factors and scores for global cognition and individual cognitive domains. RESULTS Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake, and insufficient physical activity. Hypertension and stroke had stronger associations with WMH volumes in Whites than in Asians. No associations between WMH volumes and cognitive performance were found after correction for multiple testing. CONCLUSION The current study highlights ethnic differences in the contributions of vascular risk factors to WMHs.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Wei Wen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Darren M. Lipnicki
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise Mewton
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Rory Chen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Jing Du
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Dadong Wang
- Quantitative Imaging Research TeamCSIRO Informatics and StatisticsNorth RydeNew South WalesAustralia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Psychiatry, Cognition and Old Age Psychiatry ClinicSahlgrenska University HospitalGothenburgSweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Section Genomics of Neurodegenerative Diseases and AgingDepartment of Human GeneticsAmsterdam Universitair Medische CentraAmsterdamthe Netherlands
| | - Ki Woong Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
- Department of Brain and Cognitive SciencesSeoul National University College of Natural SciencesSeoulSouth Korea
| | - Ji Won Han
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
| | - Jun Sung Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
| | - Tze Pin Ng
- Department of Psychological MedicineKhoo Teck Puat HospitalYishunSingapore
- Geriatric Education and Research InstituteMinistry of HealthSingaporeSingapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech)National University of SingaporeSingaporeSingapore
| | - Denise Qian Ling Chua
- Department of Psychological MedicineNational University of SingaporeSingaporeSingapore
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population HealthCollege of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Moyra E. Mortby
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henry Brodaty
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicole Kochan
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - Jiyang Jiang
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. medRxiv 2023:2023.08.30.23294876. [PMID: 37693599 PMCID: PMC10491386 DOI: 10.1101/2023.08.30.23294876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well-documented in populations of different ethnicities and/or from different geographical regions. METHOD Magnetic resonance imaging data of five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1,946) were examined for WMH and their associations with vascular risk factors and cognition. RESULT Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake and insufficient physical activity. Participants with moderate or higher physical activity had less WMH than those who never exercised, but the former two groups did not differ. Hypertension and stroke had stronger associations with WMH volumes in the White, compared to Asian subsample. DISCUSSION The current study highlighted the ethnic differences in the contributions of vascular risk factors to WMH.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Louise Mewton
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Rory Chen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jing Du
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dadong Wang
- CSIRO Informatics and Statistics, Locked Bag 17, North Ryde, NSW 1670, Australia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Box 100, Goeteborg, Vaestra Goetaland 405 30, Sweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Nobels väg 6, 171 77 Stockholm, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics, Amsterdam Universitair Medische Centra, PO Box 7057, 1007 MB, Amsterdam, the Netherlands
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul 03080, Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jun Sung Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
| | - Tze Pin Ng
- Khoo Teck Puat Hospital, 768828, Singapore
- Geriatric Education and Research Institute, Ministry of Health, 768024, Singapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, 119077, Singapore
| | - Denise Qian Ling Chua
- Department of Psychological Medicine, National University of Singapore, 119077, Singapore
| | - Kaarin J. Anstey
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, ACT 2600, Canberra, Australia
| | - Moyra E. Mortby
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
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Oh DJ, Bae JB, Lipnicki DM, Han JW, Sachdev PS, Kim TH, Kwak KP, Kim BJ, Kim SG, Kim JL, Moon SW, Park JH, Ryu SH, Youn JC, Lee DY, Lee DW, Lee SB, Lee JJ, Jhoo JH, Skoog I, Najar J, Sterner TR, Guaita A, Vaccaro R, Rolandi E, Scarmeas N, Yannakoulia M, Kosmidis MH, Riedel-Heller SG, Roehr S, Dominguez J, Guzman MFD, Fowler KC, Lobo A, Saz P, Lopez-Anton R, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Trollor J, Kochan N, Kim KW. Parental history of dementia and the risk of dementia: A cross-sectional analysis of a global collaborative study. Psychiatry Clin Neurosci 2023; 77:449-456. [PMID: 37165609 PMCID: PMC10524874 DOI: 10.1111/pcn.13561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/06/2023] [Accepted: 05/02/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Parental history of dementia appears to increase the risk of dementia, but there have been inconsistent results. We aimed to investigate whether the association between parental history of dementia and the risk of dementia are different by dementia subtypes and sex of parent and offspring. METHODS For this cross-sectional study, we harmonized and pooled data for 17,194 older adults from nine population-based cohorts of eight countries. These studies conducted face-to-face diagnostic interviews, physical and neurological examinations, and neuropsychological assessments to diagnose dementia. We investigated the associations of maternal and paternal history of dementia with the risk of dementia and its subtypes in offspring. RESULTS The mean age of the participants was 72.8 ± 7.9 years and 59.2% were female. Parental history of dementia was associated with higher risk of dementia (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.15-1.86) and Alzheimer's disease (AD) (OR = 1.72, 95% CI = 1.31-2.26), but not with the risk of non-AD. This was largely driven by maternal history of dementia, which was associated with the risk of dementia (OR = 1.51, 95% CI = 1.15-1.97) and AD (OR = 1.80, 95% CI = 1.33-2.43) whereas paternal history of dementia was not. These results remained significant when males and females were analyzed separately (OR = 2.14, 95% CI = 1.28-3.55 in males; OR = 1.68, 95% CI = 1.16-2.44 for females). CONCLUSIONS Maternal history of dementia was associated with the risk of dementia and AD in both males and females. Maternal history of dementia may be a useful marker for identifying individuals at higher risk of AD and stratifying the risk for AD in clinical trials.
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Affiliation(s)
- Dae Jong Oh
- Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jong Bin Bae
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Ji Won Han
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia
| | - Tae Hui Kim
- Department of Psychiatry, Yonsei University Wonju Severance Christian Hospital, Wonju, South Korea
| | - Kyung Phil Kwak
- Department of Psychiatry, Dongguk University Gyeongju Hospital, Gyeongju, South Korea
| | - Bong Jo Kim
- Department of Psychiatry, Gyeongsang National University, School of Medicine, Jinju, South Korea
| | - Shin Gyeom Kim
- Department of Neuropsychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - Jeong Lan Kim
- Department of Psychiatry, School of Medicine, Chungnam National University, Daejeon, South Korea
| | - Seok Woo Moon
- Department of Psychiatry, School of Medicine, Konkuk University and Konkuk University Chungju Hospital, Chungju, South Korea
| | - Joon Hyuk Park
- Department of Neuropsychiatry, Jeju National University Hospital, Jeju, South Korea
| | - Seung-Ho Ryu
- Department of Psychiatry, School of Medicine, Konkuk University and Konkuk University Medical Center, Seoul, South Korea
| | - Jong Chul Youn
- Department of Neuropsychiatry, Kyunggi Provincial Hospital for the Elderly, Yongin, South Korea
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Dong Woo Lee
- Department of Neuropsychiatry, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Seok Bum Lee
- Department of Psychiatry, Dankook University Hospital, Cheonan, South Korea
| | - Jung Jae Lee
- Department of Psychiatry, Dankook University Hospital, Cheonan, South Korea
| | - Jin Hyeong Jhoo
- Department of Neuropsychiatry, Kangwon National University Hospital, Chuncheon, South Korea
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Jenna Najar
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Therese R Sterner
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
| | - Antonio Guaita
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Roberta Vaccaro
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Elena Rolandi
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Nikolaos Scarmeas
- Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, NY
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H Kosmidis
- Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Susanne Roehr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Jacqueline Dominguez
- Institute for Neurosciences, St. Luke’s Medical Center, Quezon City, Philippines
- Institute for Dementia Care Asia, Quezon City, Philippines
| | | | | | - Antonio Lobo
- Department of Medicine and Psychiatry. Zaragoza University. Aragon, Spain
| | - Pedro Saz
- Department of Medicine and Psychiatry. Zaragoza University. Aragon, Spain
| | - Raul Lopez-Anton
- Departamento de Psicología y Sociología. Universidad de Zaragoza, Aragon, Spain
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, Australia
- Centre for Mental Health Research, Australian National University, Canberra, Australia
- Neuroscience Australia, Sydney, Australia
| | - Nicolas Cherbuin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Australia, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine & Health, University of New South Wales, Sydney, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Ki Woong Kim
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
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5
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Valenzuela T, Coombes JS, Liu-Ambrose T, Mavros Y, Kochan N, Sachdev PS, Hausdorff J, Smith EC, Hollings M, Hawkins TC, Ashley NJ, Feter N, Wilson GC, Shih IHE, Guerrero Y, Jiang J, Wen W, Bailey T, Stensvold D, Wisløff U, Falck RS, Fiatarone Singh M. Study protocol for the BRAIN Training Trial: a randomised controlled trial of Balance, Resistance, And INterval training on cognitive function in older adults with mild cognitive impairment. BMJ Open 2022; 12:e062059. [PMID: 36600421 PMCID: PMC9772642 DOI: 10.1136/bmjopen-2022-062059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Epidemiological evidence suggests that both poor cardiovascular fitness and low muscle mass or strength markedly increase the rate of cognitive decline and incident dementia in older adults. Results from exercise trials for the improvement of cognition in older adults with mild cognitive impairment (MCI) have reported mixed results. This is possibly due to insufficient exercise intensities. The aim of the Balance, Resistance, And INterval (BRAIN) Training Trial is to determine the effects of two forms of exercise, high-intensity aerobic interval training (HIIT) and high-intensity power training (POWER) each compared with a sham exercise control group on cognition in older adults with MCI. METHODS AND ANALYSIS One hundred and sixty community-dwelling older (≥ 60 years) people with MCI have been randomised into the trial. Interventions are delivered supervised 2-3 days per week for 12 months. The primary outcome measured at baseline, 6 and 12 months is performance on a cognitive composite score measuring the executive domain calculated from a combination of computerised (NeuroTrax) and paper-and-pencil tests. Analyses will be performed via repeated measures linear mixed models and generalised linear mixed models of baseline, 6-month and 12-month time points, adjusted for baseline values and covariates selected a priori. Mixed models will be constructed to determine the interaction of GROUP × TIME. ETHICS AND DISSEMINATION Ethical approval was obtained from the University of Sydney (HREC Ref.2017/368), University of Queensland (HREC Ref. 2017/HE000853), University of British Columbia (H16-03309), and Vancouver Coastal Health Research Institute (V16-03309) Human Research Ethics. Dissemination will be via publications, conference presentations, newsletter articles, social media, talks to clinicians and consumers and meetings with health departments/managers.It is expected that communication of results will allow for the development of more effective evidence-based exercise prescription guidelines in this population while investigating the benefits of HIIT and POWER on subclinical markers of disease. TRIAL REGISTRATION NUMBER ACTRN12617001440314 Australian New Zealand Clinical Trials Registry.
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Affiliation(s)
- Trinidad Valenzuela
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Chile
| | - Jeff S Coombes
- Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Yorgi Mavros
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Jeffrey Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol School of Neuroscience and Department of Physical Therapy, Faculty of Medicine, Tel Aviv University Sackler, Tel Aviv, Israel
| | - Emily C Smith
- Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia
| | - Matthew Hollings
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Tess C Hawkins
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicholas J Ashley
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Natan Feter
- Postgraduate Program of Physical Education, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Guy C Wilson
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Isabel Hui En Shih
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Yareni Guerrero
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Tom Bailey
- Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia
- School of Nursing Midwifery and Social Work, Faculty of Health and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia
| | - Dorthe Stensvold
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ulrik Wisløff
- Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ryan S Falck
- School of Biomedical Engineering, Faculty of Applied Science, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Maria Fiatarone Singh
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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6
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Zhao H, Wen W, Cheng J, Jiang J, Kochan N, Niu H, Brodaty H, Sachdev P, Liu T. An accelerated degeneration of white matter microstructure and networks in the nondemented old-old. Cereb Cortex 2022; 33:4688-4698. [PMID: 36178117 DOI: 10.1093/cercor/bhac372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 11/12/2022] Open
Abstract
The nondemented old-old over the age of 80 comprise a rapidly increasing population group; they can be regarded as exemplars of successful aging. However, our current understanding of successful aging in advanced age and its neural underpinnings is limited. In this study, we measured the microstructural and network-based topological properties of brain white matter using diffusion-weighted imaging scans of 419 community-dwelling nondemented older participants. The participants were further divided into 230 young-old (between 72 and 79, mean = 76.25 ± 2.00) and 219 old-old (between 80 and 92, mean = 83.98 ± 2.97). Results showed that white matter connectivity in microstructure and brain networks significantly declined with increased age and that the declined rates were faster in the old-old compared with young-old. Mediation models indicated that cognitive decline was in part through the age effect on the white matter connectivity in the old-old but not in the young-old. Machine learning predictive models further supported the crucial role of declines in white matter connectivity as a neural substrate of cognitive aging in the nondemented older population. Our findings shed new light on white matter connectivity in the nondemented aging brains and may contribute to uncovering the neural substrates of successful brain aging.
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Affiliation(s)
- Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Jian Cheng
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
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7
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Du J, Koch FC, Xia A, Jiang J, Crawford JD, Lam BCP, Thalamuthu A, Lee T, Kochan N, Fawns-Ritchie C, Brodaty H, Xu Q, Sachdev PS, Wen W. Difference in distribution functions: A new diffusion weighted imaging metric for estimating white matter integrity. Neuroimage 2021; 240:118381. [PMID: 34252528 DOI: 10.1016/j.neuroimage.2021.118381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/27/2021] [Accepted: 07/08/2021] [Indexed: 11/19/2022] Open
Abstract
Diffusion weighted imaging (DWI) is a widely recognized neuroimaging technique to evaluate the microstructure of brain white matter. The objective of this study is to establish an improved automated DWI marker for estimating white matter integrity and investigating ageing related cognitive decline. The concept of Wasserstein distance was introduced to help establish a new measure: difference in distribution functions (DDF), which captures the difference of reshaping one's mean diffusivity (MD) distribution to a reference MD distribution. This new DWI measure was developed using a population-based cohort (n=19,369) from the UK Biobank. Validation was conducted using the data drawn from two independent cohorts: the Sydney Memory and Ageing Study, a community-dwelling sample (n=402), and the Renji Cerebral Small Vessel Disease Cohort Study (RCCS), which consisted of cerebral small vessel disease (CSVD) patients (n=171) and cognitively normal controls (NC) (n=43). DDF was associated with age across all three samples and better explained the variance of changes than other established DWI measures, such as fractional anisotropy, mean diffusivity and peak width of skeletonized mean diffusivity (PSMD). Significant correlations between DDF and cognition were found in the UK Biobank cohort and the MAS cohort. Binary logistic analysis and receiver operator characteristic curve analysis of RCCS demonstrated that DDF had higher sensitivity in distinguishing CSVD patients from NC than the other DWI measures. To demonstrate the flexibility of DDF, we calculated regional DDF which also showed significant correlation with age and cognition. DDF can be used as a marker for monitoring the white matter microstructural changes and ageing related cognitive decline in the elderly.
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Affiliation(s)
- Jing Du
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia.
| | - Forrest C Koch
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Aihua Xia
- School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - John D Crawford
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Ben C P Lam
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Teresa Lee
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia; Neuropsychiatric Institute (NPI), Euroa Centre, Prince of Wales Hospital, Randwick, New South Wales 2031, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Chloe Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Henry Brodaty
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia; Dementia Centre for Research Collaboration, School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia
| | - Qun Xu
- Department of Health Manage Centre, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China; Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
| | - Perminder S Sachdev
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia; Neuropsychiatric Institute (NPI), Euroa Centre, Prince of Wales Hospital, Randwick, New South Wales 2031, Australia
| | - Wei Wen
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, UNSW Sydney, New South Wales 2052, Australia; Neuropsychiatric Institute (NPI), Euroa Centre, Prince of Wales Hospital, Randwick, New South Wales 2031, Australia
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8
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Batouli SAH, Sisakhti M, Haghshenas S, Dehghani H, Sachdev P, Ekhtiari H, Kochan N, Wen W, Leemans A, Kohanpour M, Oghabian MA. Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain. Basic Clin Neurosci 2021; 12:115-132. [PMID: 33995934 PMCID: PMC8114860 DOI: 10.32598/bcn.12.1.1774.2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/19/2019] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases with similar goals are available. However, they were not done on an Iranian population, and the battery of their tests (e.g. cognitive tests) is selected based on their specific questions and needs. METHODS The IBID will include 300 participants (50% female) in the age range of 20 to 70 years old, with an equal number of participants (#60) in each age decade. It comprises a battery of cognitive, lifestyle, medical, and mental health tests, in addition to several Magnetic Resonance Imaging (MRI) protocols. Each participant completes the assessments on two referral days. RESULTS The study currently has a cross-sectional design, but longitudinal assessments are considered for the future phases of the study. Here, details of the methodology and the initial results of assessing the first 152 participants of the study are provided. CONCLUSION IBID is established to enable research into human brain function, to aid clinicians in disease diagnosis research, and also to unite the Iranian researchers with interests in the brain.
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Affiliation(s)
- Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Departmen of Neuroimaging and Analysis, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Minoo Sisakhti
- Departmen of Neuroimaging and Analysis, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
- Institute for Cognitive Sciences Studies, Tehran, Iran
| | - Shirin Haghshenas
- Departmen of Neuroimaging and Analysis, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Dehghani
- Departmen of Neuroimaging and Analysis, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | | | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Mohsen Kohanpour
- Departmen of Neuroimaging and Analysis, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Oghabian
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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9
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Ginige JA, Boulamatsis C, Heffernan M, San Jose JC, Chuprov I, Chau T, Maeder A, Valenzuela M, Fiatarone Singh M, Mavros Y, Noble Y, Radd-Vagenas S, Guerrero Y, Jain N, O'Leary F, Kochan N, Brodaty H. Fully-Online, Interoperable Clinical Trial Management System for Multi-Interventional RCT: Maintain Your Brain Digital Platform. Stud Health Technol Inform 2020; 268:97-112. [PMID: 32141882 DOI: 10.3233/shti200009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Maintain Your Brain (MYB)i is a randomised controlled trial (RCT) of multiple online interventions designed to target modifiable risk factors for Alzheimer's disease and dementia. Traditional clinical trial management systems (CTMS) requirements consist of features such as management of the study, site, subject (participant), clinical outcomes, external and internal requests, education, data extraction and reporting, security, and privacy. In addition to fulfilling these traditional requirements, MYB has a specific set of features that needs to be fulfilled. These specific requirements include: (i) support for multiple interventions within a study, (ii) flexible interoperability options with third-party software providers, (iii) study participants being able to engage in online activities via web-based interfaces throughout the trial (from screening to follow-up), (iv) ability to algorithmically personalize trial activities based on the needs of the participant, and (v) the ability to handle large volumes of data over a long period. This paper outlines how the existing CTMSs fall short in meeting these specific requirements. The presented system architecture, development approach and lessons learned in the implementation of the MYB digital platform will inform researchers attempting to implement CTMSs for trials comparable to MYB in the future.
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Affiliation(s)
| | - Christos Boulamatsis
- School of Computer, Mathematical and Data Sciences, Western Sydney University, Sydney
| | - Megan Heffernan
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Juan Carlos San Jose
- School of Computer, Mathematical and Data Sciences, Western Sydney University, Sydney.,Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Igor Chuprov
- School of Computer, Mathematical and Data Sciences, Western Sydney University, Sydney
| | - Tiffany Chau
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Anthony Maeder
- Flinders Digital Health Research Centre and Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | | | | | - Yorgi Mavros
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Yian Noble
- School of Exercise and Sport Science, University of Sydney, Sydney, Australia
| | - Sue Radd-Vagenas
- School of Exercise and Sport Science, University of Sydney, Sydney, Australia
| | - Yareni Guerrero
- School of Exercise and Sport Science, University of Sydney, Sydney, Australia
| | - Nidhi Jain
- School of Exercise and Sport Science, University of Sydney, Sydney, Australia
| | - Fiona O'Leary
- School of Life and Environmental Science and The Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
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10
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Broadhouse KM, Singh MF, Suo C, Gates N, Wen W, Brodaty H, Jain N, Wilson GC, Meiklejohn J, Singh N, Baune BT, Baker M, Foroughi N, Wang Y, Kochan N, Ashton K, Brown M, Li Z, Mavros Y, Sachdev PS, Valenzuela MJ. Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI. Neuroimage Clin 2020; 25:102182. [PMID: 31978826 PMCID: PMC6974789 DOI: 10.1016/j.nicl.2020.102182] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/13/2020] [Accepted: 01/13/2020] [Indexed: 01/15/2023]
Abstract
Dementia affects 47 million individuals worldwide, and assuming the status quo is projected to rise to 150 million by 2050. Prevention of age-related cognitive impairment in older persons with lifestyle interventions continues to garner evidence but whether this can combat underlying neurodegeneration is unknown. The Study of Mental Activity and Resistance Training (SMART) trial has previously reported within-training findings; the aim of this study was to investigate the long-term neurostructural and cognitive impact of resistance exercise in Mild Cognitive Impairment (MCI). For the first time we show that hippocampal subareas particularly susceptible to volume loss in Alzheimer's disease (AD) are protected by resistance exercise for up to one year after training. One hundred MCI participants were randomised to one of four training groups: (1) Combined high intensity progressive resistance and computerised cognitive training (PRT+CCT), (2) PRT+Sham CCT, (3) CCT+Sham PRT, (4) Sham physical+sham cognitive training (SHAM+SHAM). Physical, neuropsychological and MRI assessments were carried out at baseline, 6 months (directly after training) and 18 months from baseline (12 months after intervention cessation). Here we report neuro-structural and functional changes over the 18-month trial period and the association with global cognitive and executive function measures. PRT but not CCT or PRT+CCT led to global long-term cognitive improvements above SHAM intervention at 18-month follow-up. Furthermore, hippocampal subfields susceptible to atrophy in AD were protected by PRT revealing an elimination of long-term atrophy in the left subiculum, and attenuation of atrophy in left CA1 and dentate gyrus when compared to SHAM+SHAM (p = 0.023, p = 0.020 and p = 0.027). These neuroprotective effects mediated a significant portion of long-term cognitive benefits. By contrast, within-training posterior cingulate plasticity decayed after training cessation and was unrelated to long term cognitive benefits. Neither general physical activity levels nor fitness change over the 18-month period mediated hippocampal trajectory, demonstrating that enduring hippocampal subfield plasticity is not a simple reflection of post-training changes in fitness or physical activity participation. Notably, resting-state fMRI analysis revealed that both the hippocampus and posterior cingulate participate in a functional network that continued to be upregulated following intervention cessation. Multiple structural mechanisms may contribute to the long-term global cognitive benefit of resistance exercise, developing along different time courses but functionally linked. For the first time we show that 6 months of high intensity resistance exercise is capable of not only promoting better cognition in those with MCI, but also protecting AD-vulnerable hippocampal subfields from degeneration for at least 12 months post-intervention. These findings emphasise the therapeutic potential of resistance exercise; however, future work will need to establish just how long-lived these outcomes are and whether they are sufficient to delay dementia.
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Affiliation(s)
- Kathryn M Broadhouse
- Nola Thompson Centre for Advanced Imaging, Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, QLD, Australia; Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
| | - Maria Fiatarone Singh
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia; Hebrew SeniorLife and Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Chao Suo
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
| | - Nicola Gates
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Nidhi Jain
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Guy C Wilson
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Jacinda Meiklejohn
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Nalin Singh
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Bernhard T Baune
- Department of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Michael Baker
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia; School of Exercise Science, Australian Catholic University, Strathfield, NSW, Australia
| | - Nasim Foroughi
- Clinical and Rehabilitation Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Yi Wang
- Clinical and Rehabilitation Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia; Department of Medicine and the Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Kevin Ashton
- Biomedical Sciences, Faculty of Health Sciences and Medicine, Bond University, QLD, Australia
| | - Matt Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, QLD, Australia; King's College London National Institutes of Health Biomedical Research Centre, UK
| | - Zhixiu Li
- Institute of Health and Biomedical Innovation, Queensland University of Technology, QLD, Australia
| | - Yorgi Mavros
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Michael J Valenzuela
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Medical Sciences, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
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11
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Beaudet G, Tsuchida A, Petit L, Tzourio C, Caspers S, Schreiber J, Pausova Z, Patel Y, Paus T, Schmidt R, Pirpamer L, Sachdev PS, Brodaty H, Kochan N, Trollor J, Wen W, Armstrong NJ, Deary IJ, Bastin ME, Wardlaw JM, Munõz Maniega S, Witte AV, Villringer A, Duering M, Debette S, Mazoyer B. Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study. Front Psychiatry 2020; 11:342. [PMID: 32425831 PMCID: PMC7212692 DOI: 10.3389/fpsyt.2020.00342] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/06/2020] [Indexed: 12/20/2022] Open
Abstract
Parameters of water diffusion in white matter derived from diffusion-weighted imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean diffusivity (PSMD), have been proposed as potential markers of normal and pathological brain ageing. However, their relative evolution over the entire adult lifespan in healthy individuals remains partly unknown during early and late adulthood, and particularly for the PSMD index. Here, we gathered and analyzed cross-sectional diffusion tensor imaging (DTI) data from 10 population-based cohort studies in order to establish the time course of white matter water diffusion phenotypes from post-adolescence to late adulthood. DTI data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years and analyzed with the same pipeline for computing skeletonized DTI metrics from DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD values distribution across the FA skeleton. Mean values of each DTI metric were found to strongly vary across cohorts, most likely due to major differences in DWI acquisition protocols as well as pre-processing and DTI model fitting. However, age effects on each DTI metric were found to be highly consistent across cohorts. RD, MD, and AD variations with age exhibited the same U-shape pattern, first slowly decreasing during post-adolescence until the age of 30, 40, and 50 years, respectively, then progressively increasing until late life. FA showed a reverse profile, initially increasing then continuously decreasing, slowly until the 70s, then sharply declining thereafter. By contrast, PSMD constantly increased, first slowly until the 60s, then more sharply. These results demonstrate that, in the general population, age affects PSMD in a manner different from that of other DTI metrics. The constant increase in PSMD throughout the entire adult life, including during post-adolescence, indicates that PSMD could be an early marker of the ageing process.
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Affiliation(s)
- Grégory Beaudet
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Ami Tsuchida
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Laurent Petit
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | | | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Dusseldorf, Dusseldorf, Germany
| | - Jan Schreiber
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany
| | - Zdenka Pausova
- Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Yash Patel
- Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | | | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Susana Munõz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - A Veronica Witte
- Departmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Departmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Stéphanie Debette
- Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France.,Bordeaux Population Health Research Center, Inserm, Bordeaux, France.,Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Bernard Mazoyer
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
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12
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Harvey L, Taylor M, Delbaere K, Lord S, Brodaty H, Kochan N, Sachdev P, Mitchell R, Close J. 57 The Use of the Physiological Profile Assessment to Improve Prediction of Fragility Fractures in Community-Dwelling Older People. Age Ageing 2019. [DOI: 10.1093/ageing/afz164.57] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
The Physiological Profile Assessment (PPA) is a validated composite measure of sensorimotor function, known to predict falls with 75% accuracy. This work aimed to investigate whether PPA is also associated with fragility fractures.
Method
Participants were 489 community-dwelling older people (age=70-90) enrolled in the longitudinal population-based Sydney Memory and Ageing Study. Participants underwent comprehensive assessments at enrolment, including the 5-item PPA (visual contrast sensitivity, lower limb proprioception, knee extension strength, simple reaction time and postural sway). Participant records were linked to emergency department, hospital and death records (2005-2014) to identify fragility fractures following baseline assessment, with median follow-up duration of 7.5 years. Negative binomial regression, with observation time as the offset, was used to assess factors associated with fractures.
Results
At baseline assessment, 281 (57.5%) participants were assessed as having low/mild fall risk [PPA<1] and 208 (42.5%) as moderate/marked/very marked fall risk [PPA score >1]. Over the study period, 72 (14.7%) individuals sustained 1 fracture, and a further 39 (8.0%) sustained 2 or more fractures.
Univariate analysis showed that increasing age (Incidence Rate Ratio (IRR) 1.1, 95%CI 1.0-1.1, p=0.0026), being female (IRR 1.8, 95%CI 1.3-2.8, p=0.0033), having osteoporosis (IRR 1.7, 95%CI 1.1-2.6, p=0.0340) and moderate/marked/very marked PPA (IRR 1.8, 95%CI 1.2-2.7, p=0.0025) were associated with fractures. In the multivariate analysis, only moderate/marked/very marked PPA (IRR 1.6, 95%CI 1.1-2.5, p=0.0159) and being female (IRR 1.8, 95%CI 1.1-2.8, p=0.0121) remained independently associated with fractures.
Conclusion
These findings show that people at increased risk of falls based on the Physiological Profile Assessment are also at increased risk of future fragility fractures regardless of the presence of osteoporosis. Early identification of this high risk population provides the opportunity to intervene with evidence based strategies to minimize falls risk as well as considering pharmacological management of bone health.
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Affiliation(s)
- Lara Harvey
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Australia
- School of Public Health and Community Medicine, University of New South Wales, Australia
| | - Morag Taylor
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Australia
- Prince of Wales Clinical School, University of New South Wales, Australia
| | - Kim Delbaere
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Australia
- School of Public Health and Community Medicine, University of New South Wales, Australia
| | - Stephen Lord
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Australia
- School of Public Health and Community Medicine, University of New South Wales, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, University of New South Wales, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Australia
- Neuropsychiatric Institute, University of New South Wales, Australia
| | - Rebecca Mitchell
- Australian Institute of Health Innovation, Macquarie University, Australia
| | - Jacqueline Close
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Australia
- Prince of Wales Clinical School, University of New South Wales, Australia
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13
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Harvey L, Toson B, Brodaty H, Draper B, Kochan N, Sachdev P, Mitchell R, Close J. Injury-related hospitalisation in community-dwelling older people across the cognitive spectrum: A population based study. Arch Gerontol Geriatr 2019; 83:155-160. [DOI: 10.1016/j.archger.2019.03.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 03/27/2019] [Accepted: 03/31/2019] [Indexed: 10/27/2022]
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14
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Harvey L, Toson B, Brodaty H, Draper B, Kochan N, Sachdev P, Mitchell R, Close J. People with mild cognitive impairment are at increased risk of serious injury. Int J Popul Data Sci 2018. [DOI: 10.23889/ijpds.v3i4.869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
IntroductionData-linkage studies using administrative hospital data have shown that people with dementia have double the rate of injury-related hospitalisations and poorer health outcomes than those without. No previous research has explored whether people with mild cognitive impairment are also at increased risk of serious injury requiring hospitalisation.
Objectives and ApproachA major barrier to the use of administrative hospital data for undertaking research focusing on people with MCI is that MCI cannot be reliably identified from ICD-10 coded administrative data. To overcome this limitation, hospitalisation and death data was linked to data from participants (community-dwelling 70-90 year olds) enrolled in the population-based longitudinal Sydney Memory and Ageing Study (MAS). MAS participants underwent comprehensive neuropsychological assessments at baseline, then 2, 4 and 6 years’ follow-up to accurately determine cognitive status at each time-period. Linkage to hospital records allowed identification of injury-related hospitalisations and outcomes for the 2-year period following each assessment.
ResultsThere were 335 injury-related hospitalisations for the 867 participants; 222 (25.6%) participants had at least one injury-related hospitalisation. After adjusting for age-and-sex, participants in a state of MCI had 1.7 (95%CI 1.2-2.4) times higher odds of an injury-related hospitalisation than participants in a state of normal cognition, whilst participants with dementia had 2.3 (95%CI 1.2-4.4) times higher odds. There was no difference in odds between participants with MCI and dementia.
Of the 116 hospitalisations for people with MCI, the majority (79.3%) were due to falls. Non-fracture head injuries (25.9%), upper limb and trunk fractures (13.8% respectively) were the most common injury type. There were no differences in injury type, mean length of stay, or 30-day mortality between people with normal cognition, MCI and dementia.
Conclusion/ImplicationsOlder people with objectively defined MCI are at higher risk of injury, predominantly as a result of falls, than their cognitively intact peers. Falls-risk screening and fall prevention initiatives may be indicated for people with MCI. Further research is required to determine which cognitive domains contribute to this increased risk.
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15
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Waskiewicz K, Oth O, Kochan N, Evrard L. Risk factors generally neglected in oral surgery and implantology: the high LDL-cholesterol and the insufficient level of vitamin D. ACTA ACUST UNITED AC 2018; 39:70-77. [DOI: 10.30637/2018.17-075] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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16
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Low LF, Carroll S, Merom D, Baker JR, Kochan N, Moran F, Brodaty H. We think you can dance! A pilot randomised controlled trial of dance for nursing home residents with moderate to severe dementia. Complement Ther Med 2016; 29:42-44. [PMID: 27912955 DOI: 10.1016/j.ctim.2016.09.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 05/11/2016] [Accepted: 09/02/2016] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To evaluate the feasibility of a dance program for people with moderate to severe dementia living in nursing homeswith regards to recruitment and retention, assessment tools, intervention safety, attendance and engagement. DESIGN Pilot randomised controlled trial with assessments at weeks 0, 16 and 32. SETTING A nursing home in Sydney, Australia. INTERVENTIONS Experienced dance teachers conducted dance groups (intervention) or music appreciation and socialisation groups (control) for 45min, three times a week for 16 weeks. MAIN OUTCOME MEASURES Descriptive statistics for recruitment and retention, adverse events and attendance and engagement. RESULTS Recruitment was smooth, attrition was17% over 32 weeks. Engagement during the sessions was high, and no serious falls or behavioural incidents occurred. Average attendance was poorer than anticipated for dance groups (67%) in comparison to music groups (89%). A ceiling effect on the Severe Impairment Battery and the logistical challenges of the Clinical Global Impression of Change meant they may not be optimal tools. CONCLUSIONS It is feasible to conduct a study of group dance for people with moderate to severe dementia in residential care. Choice of attention control condition should be reconsidered.
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Affiliation(s)
- L F Low
- Faculty of Health Sciences, University of Sydney, Australia.
| | - S Carroll
- Arts Health Institute, Newcastle, Australia
| | - D Merom
- School of Science and Health, University of Western Sydney, Australia
| | - J R Baker
- Psychiatry Research and Teaching Unit, University of New South Wales, Australia
| | - N Kochan
- Centre for Health Brain Ageing, University of New South Wales, Australia
| | - F Moran
- School of Science and Health, University of Western Sydney, Australia; The George Institute for Global Health, Australia
| | - H Brodaty
- Centre for Health Brain Ageing, University of New South Wales, Australia; Dementia Collaborative Research Centre, Assessment and Better Care, University of New South Wales, Australia
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17
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Yang Z, Wen W, Jiang J, Crawford JD, Reppermund S, Levitan C, Slavin MJ, Kochan N, Richmond R, Brodaty H, Trollor J, Sachdev PS. O1‐01‐05: Brain changes on structural MRI from the eighth to eleventh decades of life. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.07.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Zixuan Yang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Wei Wen
- University of New South WalesSydneyAustralia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - John D. Crawford
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Simone Reppermund
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Charlene Levitan
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Melissa Jane Slavin
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW MedicineUniversity of New South Wales (UNSW) AustraliaSydneyAustralia
| | - Robyn Richmond
- School of Public Health and CommunityUNSW MedicineSydneyAustralia
| | - Henry Brodaty
- Dementia Collaborative Research Centre – Assessment and Better Care (DCRC‐ABC), School of Psychiatry, UNSW MedicineUNSW AustraliaSydneyAustralia
| | - Julian Trollor
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW MedicineUNSW AustraliaSydneyAustralia
| | - Perminder S. Sachdev
- University of New South WalesSydneyAustralia
- Neuropsychiatric InstitutePrince of Wales HospitalSydneyAustralia
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18
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Jayasena T, Poljak A, Braidy N, Smythe G, Raftery M, Hill M, Brodaty H, Trollor J, Kochan N, Sachdev P. Upregulation of glycolytic enzymes, mitochondrial dysfunction and increased cytotoxicity in glial cells treated with Alzheimer's disease plasma. PLoS One 2015; 10:e0116092. [PMID: 25785936 PMCID: PMC4364672 DOI: 10.1371/journal.pone.0116092] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 12/04/2014] [Indexed: 11/19/2022] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder associated with increased oxidative stress and neuroinflammation. Markers of increased protein, lipid and nucleic acid oxidation and reduced activities of antioxidant enzymes have been reported in AD plasma. Amyloid plaques in the AD brain elicit a range of reactive inflammatory responses including complement activation and acute phase reactions, which may also be reflected in plasma. Previous studies have shown that human AD plasma may be cytotoxic to cultured cells. We investigated the effect of pooled plasma (n = 20 each) from healthy controls, individuals with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) on cultured microglial cells. AD plasma and was found to significantly decrease cell viability and increase glycolytic flux in microglia compared to plasma from healthy controls. This effect was prevented by the heat inactivation of complement. Proteomic methods and isobaric tags (iTRAQ) found the expression level of complement and other acute phase proteins to be altered in MCI and AD plasma and an upregulation of key enzymes involved in the glycolysis pathway in cells exposed to AD plasma. Altered expression levels of acute phase reactants in AD plasma may alter the energy metabolism of glia.
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Affiliation(s)
- Tharusha Jayasena
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Anne Poljak
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- * E-mail:
| | - Nady Braidy
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - George Smythe
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Mark Raftery
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
| | - Mark Hill
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
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19
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Smith E, Bailey PE, Crawford J, Samaras K, Baune BT, Campbell L, Kochan N, Menant J, Sturnieks DL, Brodaty H, Sachdev P, Trollor JN. Adiposity estimated using dual energy X-ray absorptiometry and body mass index and its association with cognition in elderly adults. J Am Geriatr Soc 2015; 62:2311-8. [PMID: 25516027 DOI: 10.1111/jgs.13157] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To determine whether obesity, estimated according to body mass index (BMI), waist circumference, and body fat and abdominal fat assessed using dual-energy X-ray absorptiometry (DEXA), was associated with cognitive performance. DESIGN Cross-sectional. SETTING Community based. PARTICIPANTS Individuals aged 74-94 (N = 406). MEASUREMENTS BMI, waist circumference, body fat, and abdominal fat were assessed using DEXA. Cognitive performance was assessed using a comprehensive neuropsychological battery. RESULTS When categorized using BMI, overweight individuals had higher global cognitive function and executive function scores than normal-weight individuals. This relationship did not differ according to sex. When categorized according to DEXA, there were no relationships between body fat and cognitive function in the whole group, but women in the middle and highest tertiles of DEXA body fat had better executive function than those in the lowest tertile. Men in the middle tertile of DEXA body fat had significantly better executive function and memory than those in the lowest tertile. BMI had greater power to predict executive function than DEXA body fat. No significant associations were found between cognition and estimates of abdominal adiposity. CONCLUSION This study found an association between being overweight and better executive function in elderly adults; this association was stronger for the simpler BMI than the more-elaborate DEXA measures.
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Affiliation(s)
- Evelyn Smith
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
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20
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Davies G, Armstrong N, Bis JC, Bressler J, Chouraki V, Giddaluru S, Hofer E, Ibrahim-Verbaas CA, Kirin M, Lahti J, van der Lee SJ, Le Hellard S, Liu T, Marioni RE, Oldmeadow C, Postmus I, Smith AV, Smith JA, Thalamuthu A, Thomson R, Vitart V, Wang J, Yu L, Zgaga L, Zhao W, Boxall R, Harris SE, Hill WD, Liewald DC, Luciano M, Adams H, Ames D, Amin N, Amouyel P, Assareh AA, Au R, Becker JT, Beiser A, Berr C, Bertram L, Boerwinkle E, Buckley BM, Campbell H, Corley J, De Jager PL, Dufouil C, Eriksson JG, Espeseth T, Faul JD, Ford I, Scotland G, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Heiss G, Hofman A, Holliday EG, Huffman J, Kardia SLR, Kochan N, Knopman DS, Kwok JB, Lambert JC, Lee T, Li G, Li SC, Loitfelder M, Lopez OL, Lundervold AJ, Lundqvist A, Mather KA, Mirza SS, Nyberg L, Oostra BA, Palotie A, Papenberg G, Pattie A, Petrovic K, Polasek O, Psaty BM, Redmond P, Reppermund S, Rotter JI, Schmidt H, Schuur M, Schofield PW, Scott RJ, Steen VM, Stott DJ, van Swieten JC, Taylor KD, Trollor J, Trompet S, Uitterlinden AG, Weinstein G, Widen E, Windham BG, Jukema JW, Wright AF, Wright MJ, Yang Q, Amieva H, Attia JR, Bennett DA, Brodaty H, de Craen AJM, Hayward C, Ikram MA, Lindenberger U, Nilsson LG, Porteous DJ, Räikkönen K, Reinvang I, Rudan I, Sachdev PS, Schmidt R, Schofield PR, Srikanth V, Starr JM, Turner ST, Weir DR, Wilson JF, van Duijn C, Launer L, Fitzpatrick AL, Seshadri S, Mosley TH, Deary IJ. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry 2015; 20:183-92. [PMID: 25644384 PMCID: PMC4356746 DOI: 10.1038/mp.2014.188] [Citation(s) in RCA: 260] [Impact Index Per Article: 28.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 11/11/2014] [Accepted: 11/24/2014] [Indexed: 01/14/2023]
Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.
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Affiliation(s)
- G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - N Armstrong
- School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - V Chouraki
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - S Giddaluru
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - E Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria,Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - C A Ibrahim-Verbaas
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - S J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Le Hellard
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - T Liu
- Max Planck Institute for Human Development, Berlin, Germany,Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - J A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - A Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Thomson
- Menzies Research Institute, Hobart, Tasmania
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - J Wang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland,Andrija Stampar School of Public Health, Medical School, University of Zagreb, Zagreb, Croatia
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - R Boxall
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - W D Hill
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - H Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - D Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, VIC, Australia,Academic Unit for Psychiatry of Old Age, St George's Hospital, University of Melbourne, Kew, Australia
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - P Amouyel
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - A A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - J T Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - C Berr
- Inserm, U106, Montpellier, France,Université Montpellier I, Montpellier, France
| | - L Bertram
- Max Planck Institute for Molecular Genetics, Berlin, Germany,Faculty of Medicine, School of Public Health, Imperial College, London, UK
| | - E Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA,Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - H Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - P L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - C Dufouil
- Inserm U708, Neuroepidemiology, Paris, France,Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J G Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - T Espeseth
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - J D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - I Ford
- Robertson Center for Biostatistics, Glasgow, UK
| | - Generation Scotland
- Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - R F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M E Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - T B Harris
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - G Heiss
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - E G Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - J Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - S L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - N Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - D S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - J B Kwok
- Neuroscience Research Australia, Randwick, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J-C Lambert
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - T Lee
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - G Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - S-C Li
- Max Planck Institute for Human Development, Berlin, Germany,Technische Universität Dresden, Dresden, Germany
| | - M Loitfelder
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - A Lundqvist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - K A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S S Mirza
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - B A Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - G Papenberg
- Max Planck Institute for Human Development, Berlin, Germany,Karolinska Institutet, Aging Research Center, Stockholm University, Stockholm, Sweden
| | - A Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, Croatia
| | - B M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA,Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Deparment of Health Services, University of Washington, Seattle, WA, USA,Group Health Research Unit, Group Health Cooperative, Seattle, WA, USA
| | - P Redmond
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - H Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria,Centre for Molecular Medicine, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - M Schuur
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P W Schofield
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - J C van Swieten
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - J Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - G Weinstein
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - B G Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands,Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - A F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M J Wright
- Neuroimaging Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Q Yang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - H Amieva
- Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J R Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - D A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - H Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M A Ikram
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - U Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
| | - L-G Nilsson
- ARC, Karolinska Institutet, Stockholm and UFBI, Umeå University, Umeå, Sweden
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - P S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - R Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - V Srikanth
- Menzies Research Institute, Hobart, Tasmania,Stroke and Ageing Research, Medicine, Southern Clinical School, Monash University, Melbourne, VIC, Australia
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - D R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - J F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - C van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Launer
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - A L Fitzpatrick
- Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Department of Global Health, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - T H Mosley
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, Scotland, UK. E-mail:
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Valenzuela MJ, Leon I, Suo C, Piamba DM, Kochan N, Brodaty H, Sachdev P. Cognitive lifestyle in older persons: the population-based Sydney Memory and Ageing Study. J Alzheimers Dis 2013; 36:87-97. [PMID: 23542868 DOI: 10.3233/jad-130143] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive lifestyle may be an important modifiable risk factor for dementia but has not yet been comprehensively studied in healthy elderly. OBJECTIVE To examine gender- and lifespan-related differences in cognitive lifestyle in a population-based cohort. METHODS 872 individuals from the second wave of the Sydney Memory and Ageing Study (MAS) cohort were invited to complete the Lifetime of Experiences Questionnaire (LEQ), a validated measure of cognitive lifestyle. Of 555 questionnaires returned (64%), 253 were excluded due to prior diagnosis of mild cognitive impairment, leaving n = 302 cognitively-intact elders (mean age 80.1 years, ±SD 4.7, 40.1% men). RESULTS Total LEQ was significantly higher in men (97.9 ± 20.0) than women (90.0 ± 24.5), resulting mainly from midlife LEQ differences. Men were more likely to have worked in managerial or professional jobs (73.8% versus 39.5% women), and twice as likely to have supervised large groups of workers. In late life, women were significantly more likely to be living alone (68.1% versus 25.4% men), but otherwise significantly more engaged in specific cognitive activities, including reading novels (72.3% versus 52.0% men) and incorporating volunteer work (31.9% versus 19.7% men) and socializing (59.0% versus 37.0% men) into their typical day. Over the adult lifespan, it was more common for men and women to transition between LEQ tertiles than remain the same. CONCLUSIONS Cognitive lifestyle changes over the adult lifespan and exhibits a range of gender-based differences. While older women are more likely to be living alone they generally lead a more active current cognitive lifestyle.
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Affiliation(s)
- Michael J Valenzuela
- Regenerative Neuroscience Group, Brain & Mind Research Institute, University of Sydney, NSW, Australia.
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Raamana P, Wen W, Kochan N, Brodaty H, Sachdev P, Wang L, Beg MF. P2–155: The subclassification of amnestic MCI using MRI‐based cortical thickness measures. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Wei Wen
- Prince of Wales Hospital Randwick Sydney Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine Sydney Australia
| | - Henry Brodaty
- Dementia Collaborative Research Centre Sydney NSW Australia
| | | | - Lei Wang
- Northwestern University Feinberg School of Medicine Chicago Illinois United States
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Muenchhoff J, Song F, Poljak A, Kochan N, Brodaty H, Smythe GA, Attia J, Schofield P, Sachdev P. P1–241: Plasma protein profiling of mild cognitive impairment and Alzheimer's disease. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
| | - Fei Song
- University of New South Wales Sydney Australia
| | | | - Nicole Kochan
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine Sydney Australia
| | - Henry Brodaty
- Dementia Collaborative Research Centre Sydney Australia
| | | | - John Attia
- School of Medicine and Public Health Newcastle Australia
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Poljak A, Crawford J, Slavin M, Kochan N, Trollor J, Wen W, Mather K, Assareh A, Smythe GA, Brodaty H, Ng PC, Sachdev P. P1–242: Plasma beta‐amyloid correlates with cognition and brain volumetrics in mild cognitive impairment. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Anne Poljak
- University of New South Wales Sydney Australia
| | | | | | - Nicole Kochan
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine Sydney Australia
| | | | - Wei Wen
- Prince of Wales Hospital Randwick‐Sydney Australia
| | - Karen Mather
- University of New South Wales Randwick Australia
| | | | | | - Henry Brodaty
- Dementia Collaborative Research Centre Sydney Australia
| | - Pek C. Ng
- Bioanalytical Mass Spectrometry Facility Sydney Australia
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Zhuang L, Sachdev P, Trollor J, Reppermund S, Kochan N, Brodaty H, Wen W. P3–088: Staging of microstructural white matter damage in early Alzheimer's disease. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.1158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Lin Zhuang
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Randwick Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Randwick Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Randwick Australia
| | - Simone Reppermund
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Sydney NSW Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Randwick Australia
| | - Henry Brodaty
- Dementia Collaborative Research Centre Sydney NSW, California Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing School of Psychiatry UNSW Medicine, Sydney, Australia Randwick Australia
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Sachdev P, Brodaty H, Trollor J, Reppermund S, Kochan N, Lipnicki D, Crawford J, Draper B, Slavin M, Kang K, Lux O, Mather K, Wen W. P2‐168: Recent findings from the Sydney Memory and Ageing Study (Sydney MAS). Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
| | | | | | | | | | | | - Brian Draper
- Dementia Collaborative Research Centre ‐ Assessment and Better CareRandwickNSWAustralia
| | - Melissa Slavin
- Dementia Collaborative Research Centre ‐ Assessment and Better CareSydneyAustralia
| | | | - Ora Lux
- Brain and Ageing Research ProgramSydneyNSWAustralia
| | - Karen Mather
- Brain and Ageing Research ProgramSydneyNSWAustralia
| | - Wei Wen
- University of New South WalesSydneyNSWAustralia
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Mather K, Armstrong N, Assareh A, Kwok J, Crawford J, Reppermund S, Trollor J, Kochan N, Kang K, Slavin M, Draper B, Brodaty H, Schofield P, Sachdev P. P4‐111: Olfaction identification in older adults: A genome‐wide association study. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
| | | | | | - John Kwok
- Neuroscience Research AustraliaRandwick‐SydneyAustralia
| | | | | | | | - Nicole Kochan
- Neuropsychiatric InstituteUniversity of New South WalesSydneyAustralia
| | | | | | - Brian Draper
- Academic Department for Old Age PsychiatryRandwickAustralia
| | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyAustralia
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Levitan C, Sachdev P, Brodaty H, Crawford J, Slavin M, Kochan N, Sidhu M, Richmond R, Wen W, Kang K, Mather K. P1‐080: Rates of dementia amongst an exceptionally old cohort of Australians: The Sydney Centenarian Study. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
| | | | | | | | | | | | - Wei Wen
- Prince of Wales Hospital, RandwickSydneyAustralia
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Song F, Poljak A, Jayasena T, Smythe G, Brodaty H, Kochan N, Sachdev P, Crawford J. P1‐115: Plasma apolipoproteins as biomarkers of mild cognitive impairment in a community‐based sample. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Fei Song
- University of New South WalesSydney
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Brodaty H, Heffernan M, Kochan N, Reppermund S, Slavin M, Draper B, Trollor J, Kang K, Sachdev P. P3‐068: Incidence, prevalence and predictors of course of mild cognitive impairment: The sydney memory and ageing study. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.1507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
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Reppermund S, Brodaty H, Crawford J, Kochan N, Slavin M, Trollor J, Draper B, Sachdev P. P1‐462: Do past and current depressive symptoms affect cognitive functioning and everyday activities in the elderly? Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
| | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
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Zhuang L, Wen W, Trollor J, Kochan N, Reppermund S, Brodaty H, Sachdev P. P4‐124: Abnormal connectivity of the hippocampus in amnestic mild cognitive impairment: A diffusion tensor tractography study. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.2146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Lin Zhuang
- The University of New South WalesSydneyAustralia
| | - Wei Wen
- University of New South WalesSydneyAustralia
| | | | | | | | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
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Kochan N, Breakspear M, Valenzuela M, Slavin M, Brodaty H, Wen W, Trollor J, Turner A, Crawford J, Sachdev P. P1‐319: Neural response to a graded working memory challenge predicts decline in everyday function in mild cognitive impairment. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
| | | | | | | | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
| | - Wei Wen
- University Of New South WalesSydneyAustralia
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Harrison F, Low L, Kochan N, Draper B, Slavin M, Reppermund S, Troller J, Sachdev P, Brodaty H. P3‐075: Mild cognitive impairment in older Australians from non‐English speaking backgrounds. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.1515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | - Henry Brodaty
- Dementia Collaborative Research CentreSydneyNSWAustralia
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Valenzuela M, Turner A, Kochan N, Wen W, McIntosh R, Sachdev P, Breakspear M. P4‐365: Posterior compensatory network mediates spatial working memory in those with proficient cognition despite hippocampal atrophy. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.09.179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Michael Valenzuela
- Regenerative Neuroscience Group, University of New South WalesSydneyAustralia
| | | | | | - Wei Wen
- University of New South WalesSydneyAustralia
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Mather KA, Assareh A, Kochan N, Crawford J, Kang K, Reppermund S, Trollor J, Kwok J, Draper B, Schofield P, Brodaty H, Sachdev P. P2‐134: APOE E4 carriers are associated with amnestic but not nonamnestic mild cognitive impairment in an elderly community sample. Alzheimers Dement 2010. [DOI: 10.1016/j.jalz.2010.05.1181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Karen A. Mather
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
| | - Arezoo Assareh
- Prince of Wales Medical Research InstituteSydney Australia
| | - Nicole Kochan
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
| | - John Crawford
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
| | - Kristan Kang
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
| | - Simone Reppermund
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
| | - Julian Trollor
- Department Developmental Disability Neuropsychiatry, School of Psychiatry University New South WalesSydney Australia
| | - John Kwok
- Prince of Wales Medical Research InstituteSydney Australia
| | - Brian Draper
- Academic Department for Old Age Psychiatry Prince of Wales HospitalSydney Australia
| | | | - Henry Brodaty
- Primary Dementia Collaborative Research Centre, School of Psychiatry University New South WalesSydney Australia
| | - Perminder Sachdev
- Brain & Ageing Research Program, School of Psychiatry University New South WalesSydney Australia
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Song F, Poljak A, Kochan N, Jayasena T, Raftery M, Brodaty H, Smythe GA, Sachdev PS. O3‐03‐03: Screening plasma for biomarkers of mild cognitive impairment and Alzheimer's disease by quantitative proteomic methods. Alzheimers Dement 2010. [DOI: 10.1016/j.jalz.2010.05.406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Fei Song
- Neuropsychiatric Institute, Prince of Wales HospitalSydney Australia
- Bioanalytical Mass Spectrometry Facility University of New South WalesSydney Australia
| | - Anne Poljak
- Bioanalytical Mass Spectrometry Facility University of New South WalesSydney Australia
- School of Medical Sciences, University of New South WalesSydney Australia
| | - Nicole Kochan
- Neuropsychiatric Institute, Prince of Wales HospitalSydney Australia
| | - Tharusha Jayasena
- Bioanalytical Mass Spectrometry Facility University of New South WalesSydney Australia
| | - Mark Raftery
- Bioanalytical Mass Spectrometry Facility University of New South WalesSydney Australia
| | - Henry Brodaty
- Dementia Collaborative Research Centre University of New South WalesSydney Australia
| | - George A. Smythe
- Bioanalytical Mass Spectrometry Facility University of New South WalesSydney Australia
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Zhang H, Trollor J, Wen W, Zhu W, Crawford J, Kochan N, Sachdev P. Measurement of grey matter atrophy in mild cognitive impairment using MRI. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71585-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Kochan N, Brodaty H, Trollor J, Draper B, Wen W, Slavin M, Reppermund S, Crawford J, Kang K, Broe GT, Schofield P, Sachdev P. P2‐097: The Sydney Memory and Ageing Study (MAS): A population‐based longitudinal investigation of cognitive health in the elderly. Alzheimers Dement 2009. [DOI: 10.1016/j.jalz.2009.04.407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
| | - Henry Brodaty
- University of New South WalesSydneyAustralia
- Dementia Collaborative Research CentreSydneyAustralia
| | | | | | - Wei Wen
- University of New South WalesSydneyAustralia
| | | | | | | | | | - G.A. Tony Broe
- Prince of Wales Medical Research InstituteSydneyAustralia
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Kochan N, Brodaty H, Crawford J, Slavin M, Low L, Trollor J, Draper B, Reppermund S, Kang K, Sachdev P. O3‐03‐06: How to define the cognitive impairment in Mild Cognitive Impairment: Comparison of different neuropsychological classification methods using data from the Sydney Memory and Ageing Study. Alzheimers Dement 2009. [DOI: 10.1016/j.jalz.2009.05.444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | | | | | | | - Lee‐Fay Low
- University of New South WalesSydneyAustralia
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Poljak A, Sachdev P, Brodaty H, Slavin M, Kochan N, Trollor J, Ng L, Smythe G. P1‐204: Plasma levels of Aβ1–40 and Aβ1–42 peptides in Patients with mild cognitive impairment, Alzheimer's disease and stroke. Alzheimers Dement 2008. [DOI: 10.1016/j.jalz.2008.05.793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Anne Poljak
- Bioanalytical Mass Spectrometry FacilityUniversity of New South WalesSydneyAustralia
| | - Peminder Sachdev
- Neuropsychiatric Institute, Prince of Wales HospitalSydneyAustralia
| | - Henry Brodaty
- School of Psychiatry, University of New South WalesSydneyAustralia
| | - Melissa Slavin
- Neuropsychiatric Institute, Prince of Wales HospitalSydneyAustralia
| | - Nicole Kochan
- School of Psychiatry, University of New South WalesSydneyAustralia
| | - Julian Trollor
- Neuropsychiatric Institute, Prince of Wales HospitalSydneyAustralia
| | - Lora Ng
- Bioanalytical Mass Spectrometry FacilityUniversity of New South WalesSydneyAustralia
| | - George Smythe
- Bioanalytical Mass Spectrometry FacilityUniversity of New South WalesSydneyAustralia
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Brodaty H, Sachdev P, Slavin M, Kochan N, Trollor J, Draper B, Broe T. O2‐01–05: Ubiquity and utility of subjective cognitive complaints. Alzheimers Dement 2008. [DOI: 10.1016/j.jalz.2008.05.308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Henry Brodaty
- Dementia Collaborative Research CentreUniversity of New South WalesSydneyNSWAustralia
| | - Perminder Sachdev
- Brain Ageing ProgramUniversity of New South WalesRandwickNSWAustralia
| | - Melissa Slavin
- Brain Ageing ProgramUniversity of New South WalesRandwickNSWAustralia
| | - Nicole Kochan
- Brain Ageing ProgramUniversity of New South WalesRandwickNSWAustralia
| | - Julian Trollor
- Brain Ageing ProgramUniversity of New South WalesRandwickNSWAustralia
| | - Brian Draper
- Aged Care PsychiatryPrince of Wales HospitalRandwickNSWAustralia
| | - Tony Broe
- Medical Research Institute, University of New South WalesRandwickNSWAustralia
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Low LF, Brodaty H, Edwards R, Kochan N, Draper B, Trollor J, Sachdev P. The prevalence of "cognitive impairment no dementia" in community-dwelling elderly: a pilot study. Aust N Z J Psychiatry 2004; 38:725-31. [PMID: 15324337 DOI: 10.1080/j.1440-1614.2004.01451.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To determine the prevalence of "cognitive impairment no dementia" (CIND) and "amnestic mild cognitive impairment" (aMCI) in a population sample of 70-79-year-olds and the risk factors for CIND. METHOD Cross sectional population survey. SETTING Sutherland Shire, Sydney, Australia. SUBJECTS 150 community-dwelling 70-79-year-olds were screened by telephone, 42 of whom were assessed at home. MEASURES Demographics, subjective ratings of physical and emotional health and memory, cardiovascular risk factors, medications, the Mini-Mental State Examination, Boston Naming Test, Trail Making Tests A and B, Block Design, Rey Auditory Verbal Learning Test (RAVLT), Visual Reproduction, Logical Memory, letter and category fluency, the National Adult Reading Test (NART), the Geriatric Depression Scale (GDS) and the "state" section of the State-Trait Anxiety Inventory (STAI-S). RESULTS From the 400 subjects contacted initially, 150 consented to be interviewed and 131 eligible subjects were recruited. Of a 1-in-3 random sample of 42 subjects assessed at home, 14 (33.3%) subjects met criteria for CIND, 1 (2.4%) had possible dementia and the 27 remaining (64.3%) were cognitively normal. Four (9.5%) met criteria for aMCI. Subjects with CIND were older, had lower ranking occupations and were less likely to be currently working than those classified as cognitively normal. Ten subjects with CIND did not meet criteria for aMCI because they lacked subjective memory impairment (n = 3) or had cognitive deficits other than memory (n = 7). All subjects with aMCI met criteria for CIND. CONCLUSIONS One-third of individuals in this population sample met criteria for CIND. CIND is a broader definition than aMCI. Further research is needed to determine the longitudinal course and clinical utility of these definitions of cognitive impairment.
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Affiliation(s)
- L-F Low
- Academic Department for Old Age Psychiatry, Prince of Wales Hospital, Sydney, New South Wales, Australia
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Vogel NI, Kochan N. Experimental investigation of stochastic pulsation and formation of light bullets with megagauss magnetic fields by an intense laser pulse propagating in a preionized plasma. Phys Rev Lett 2001; 86:232-235. [PMID: 11177799 DOI: 10.1103/physrevlett.86.232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2000] [Indexed: 05/23/2023]
Abstract
The generation of extremely stable light bullets in a preformed plasma near critical density has been observed experimentally during the interaction of intense picosecond laser beam with a metallic target in air. Optical probing measurements indicate the formation of pulsating channels, typically of about 5 microm in diameter, directed towards a heating laser beam, as well as of disconnected massive plasma blocks moving also towards the laser beam. The velocities of the dense plasma blocks reach the values of 4.5x10(8) cm/s. The blocks are stable during their acceleration and propagation in air. Self-generated magnetic fields up to 4-7 MG were observed by means of the Faraday rotation of a probe laser beam.
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Affiliation(s)
- N I Vogel
- University of Technology Chemnitz, Department of Physics, Optical Spectroscopy and Molecule Physics, 09107 Chemnitz, Germany
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Baker A, Kochan N, Dixon J, Wodak A, Heather N. HIV risk-taking behaviour among injecting drug users currently, previously and never enrolled in methadone treatment. Addiction 1995; 90:545-54. [PMID: 7773117 DOI: 10.1046/j.1360-0443.1995.9045458.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
This study compares the injecting and sexual risk-taking behaviour among injecting drug users (IDUs) currently, previously and never enrolled in methadone maintenance treatment (MMT). All subjects had injected during the 6 months prior to the day of interview. The current MMT group showed significantly lower injecting risk-taking behaviour subscale scores on the HIV Risk-taking Behaviour Scale (HRBS) of the Opiate Treatment Index than the previous MMT and non-MMT groups together. The current MMT group differed from the other two groups in the frequency of injecting and cleaning of injection equipment with bleach. There was no difference between the current MMT group and the other two groups combined in sexual risk-taking behaviour scores on the HRBS. There were no differences between the previous MMT and non-MMT groups in injecting and sexual risk-taking behaviour. HIV seroprevalence was low and there was no difference in seroprevalence between groups. Thus, IDUs currently enrolled in MMT are at reduced risk for HIV infection when compared with IDUs who have previously or never been enrolled in MMT. However, the absence of a difference between the current MMT and other two groups in frequency of sharing behaviours suggests the need for additional strategies among MMT clients to reduce needle-sharing. Possible strategies include the application of relapse prevention interventions and the availability of sterile injecting equipment in MMT clinics. Further research is needed to identify factors which increase attraction and retention of IDUs to MMT.
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Affiliation(s)
- A Baker
- National Drug & Alcohol Research Centre, University of New South Wales, Sydney, Australia
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Baker A, Kochan N, Dixon J, Heather N, Wodak A. Controlled evaluation of a brief intervention for HIV prevention among injecting drug users not in treatment. AIDS Care 1994; 6:559-70. [PMID: 7711089 DOI: 10.1080/09540129408258670] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
This study evaluated the effectiveness of a brief intervention (BI), a one-session motivational interview, in reducing HIV risk-taking behaviour among injecting drug users (IDU) not enrolled in any form of treatment for drug dependence. IDU were randomly assigned to either BI or a non-intervention control condition (NIC). One hundred and twenty-one subjects were successfully contacted for a 3-month follow-up and 88 subjects were followed up at 6 months. There were significant reductions for the sample as a whole for injecting risk-taking subscale scores on the HIV Risk-taking Behaviour Scale between pre-treatment and follow-up. There was no significant change in sexual risk-taking behaviour. There were no significant differences between groups on any measure at 3- and 6-month follow-up. There are a number of possible reasons why the sample as a whole showed significant improvements from initial to follow-up assessments. It is possible that, having had their attention directed to their risk-taking behaviour, subjects attempted to reduce their injecting risk-taking behaviour. If this is the case and subjects in the NIC condition can be considered as having received a BI, this suggests that BIs involving a personal risk assessment are effective in reducing risk behaviours associated with injecting. However, this suggestion could only be confirmed by comparison with a non-assessment control group.
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Affiliation(s)
- A Baker
- National Drug & Alcohol Research Centre, University of New South Wales, Sydney, Australia
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Baker A, Kochan N, Dixon J, Wodak A, Heather N. Drug use and HIV risk-taking behaviour among injecting drug users not currently in treatment in Sydney, Australia. Drug Alcohol Depend 1994; 34:155-60. [PMID: 8026303 DOI: 10.1016/0376-8716(94)90136-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
This study investigated the drug use patterns and HIV risk-taking behaviour of 200 injecting drug users (IDU) not currently in treatment in Sydney, Australia. Although there was low HIV seroprevalence, unsafe injecting and sexual practices were common. Variables that were predictive of injecting risk-taking were higher level of heroin use, sexual relationship with an IDU and greater polydrug use. Two variables were predictive of sexual risk-taking: higher level of hallucinogen use and sexual relationship with an IDU. Female subjects were significantly more likely to have an IDU sexual partner. A higher level of cannabis use was associated with greater polydrug use and a higher level of amphetamine use was associated with greater use of opiates other than heroin. The findings are discussed in terms of the need for interventions aimed towards reducing sexual risk-taking among users of hallucinogens and towards reducing injecting and sexual risk-taking among IDU and their sexual partners. The potential difficulty in producing behaviour change among polydrug users is highlighted.
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Affiliation(s)
- A Baker
- National Drug and Alcohol Research Centre, University of New South Wales, Kensington, Sydney, Australia
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