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Janssen I, Powell LH, Dugan SA, Derby CA, Kravitz HM. Cardiovascular Health, Race, and Decline in Cognitive Function in Midlife Women: The Study of Women's Health Across the Nation. J Am Heart Assoc 2024; 13:e031619. [PMID: 38656121 DOI: 10.1161/jaha.123.031619] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 03/08/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Cognitive decline may progress for decades before dementia onset. Better cardiovascular health (CVH) has been related to less cognitive decline, but it is unclear whether this begins early, for all racial subgroups, and all domains of cognitive function. The purpose of this study was to determine the impact of CVH on decline in the 2 domains of cognition that decline first in White and Black women at midlife. METHODS AND RESULTS Subjects were 363 Black and 402 White women, similar in baseline age (mean±SD, 46.6±3.0 years) and education (15.7±2.0 years), from the Chicago site of the Study of Women's Health Across the Nation. Cognition, measured as processing speed and working memory, was assessed annually or biennially over a maximum of 20 years (mean±SD, 9.8±6.7 years). CVH was measured as Life's Essential 8 (blood pressure, body mass index, glucose, non-high-density lipoprotein cholesterol, smoking, physical activity, diet, sleep). Hierarchical linear mixed models identified predictors of cognitive decline with progressive levels of adjustment. There was a decline in processing speed that was explained by race, age, and the 3-way interaction of race, CVH, and time (F1,4308=8.8, P=0.003). CVH was unrelated to decline in White women but in Black women poorer CVH was associated with greater decline. Working memory did not decline in the total cohort, by race, or by CVH. CONCLUSIONS In midlife Black women, CVH promotion may be a target for preventing the beginnings of cognitive decline, thereby enhancing independent living with aging.
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Affiliation(s)
- Imke Janssen
- Department of Family and Preventive Medicine Rush University Medical Center Chicago IL USA
| | - Lynda H Powell
- Department of Family and Preventive Medicine Rush University Medical Center Chicago IL USA
- Department of Psychiatry and Behavioral Sciences Rush University Medical Center Chicago IL USA
- Department of Pharmacology Rush University Medical Center Chicago IL USA
| | - Sheila A Dugan
- Department of Family and Preventive Medicine Rush University Medical Center Chicago IL USA
- Department of Physical Medicine and Rehabilitation Rush University Medical Center Chicago IL USA
| | - Carol A Derby
- Department of Neurology and of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA
| | - Howard M Kravitz
- Department of Family and Preventive Medicine Rush University Medical Center Chicago IL USA
- Department of Psychiatry and Behavioral Sciences Rush University Medical Center Chicago IL USA
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Appelhans BM, Lange-Maia BS, Yeh C, Jackson EA, Schiff MD, Barinas-Mitchell E, Derby CA, Karvonen-Gutierrez CA, Janssen I. Neighborhood physical environments and change in cardiometabolic risk factors over 14 years in the study of Women's health across the nation. Health Place 2024; 87:103257. [PMID: 38696876 DOI: 10.1016/j.healthplace.2024.103257] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/04/2024]
Abstract
BACKGROUND Neighborhood physical environments may influence cardiometabolic health, but prior studies have been inconsistent, and few included long follow-up periods. METHODS Changes in cardiometabolic risk factors were measured for up to 14 years in 2830 midlife women in the Study of Women's Health Across the Nation, a multi-ethnic/racial cohort of women from seven U.S. sites. Data on neighborhood food retail environments (modified Retail Food Environment Index) and walkability (National Walkability Index) were obtained for each woman's residence at each follow-up. Data on neighborhood access to green space, parks, and supermarkets were available for subsets (32-42%) of women. Models tested whether rates of change in cardiometabolic outcomes differed based on neighborhood characteristics, independent of sociodemographic and health-related covariates. RESULTS Living in more (vs. less) walkable neighborhoods was associated with favorable changes in blood pressure outcomes (SBP: -0.27 mmHg/year, p = 0.002; DBP: -0.22 mmHg/year, p < 0.0001; hypertension status: ratio of ORs = 0.79, p < 0.0001), and small declines in waist circumference (-0.09 cm/year, p = 0.03). Small-magnitude associations were also observed between low park access and greater increases in blood pressure outcomes (SBP: 0.37 mmHg/year, p = 0.003; DBP: 0.15 mmHg/year, p = 0.04; hypertension status: ratio of ORs = 1.16, p = .04), though associations involving DBP and hypertension were only present after adjustment for sociodemographic variables. Other associations were statistically unreliable or contrary to hypotheses. CONCLUSION Neighborhood walkability may have a meaningful influence on trajectories of blood pressure outcomes in women from midlife to early older adulthood, suggesting the need to better understand how individuals interact with their neighborhood environments in pursuit of cardiometabolic health.
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Affiliation(s)
- Bradley M Appelhans
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Brittney S Lange-Maia
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Chen Yeh
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Elizabeth A Jackson
- Department of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mary D Schiff
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Emma Barinas-Mitchell
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, and Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Imke Janssen
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
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Cotton K, Ayers E, Jin Y, Beauchet O, Derby CA, Lipton RB, Katz M, Galery K, Gaudreau P, Verghese J. Elevated blood homocysteine increases the risk of incident Motoric Cognitive Risk syndrome: A two cohort study. J Gerontol A Biol Sci Med Sci 2024:glae114. [PMID: 38671552 DOI: 10.1093/gerona/glae114] [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: 01/22/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Motoric Cognitive Risk (MCR) syndrome, a pre-dementia syndrome characterized by cognitive complaints and slow gait, may have an underlying vascular etiology. Elevated blood levels of homocysteine, a known vascular risk factor, have been linked to physical and cognitive decline in older adults, though the relationship with MCR is unknown. We aimed to identify the association between homocysteine and MCR risk. METHODS We examined the association between baseline homocysteine levels and incident MCR using Cox proportional hazard models in 1,826 community-dwelling older adults (55% female) from two cohorts (Einstein Aging Study [EAS] and Quebec Longitudinal Study on Nutrition and Successful Aging [NuAge]). We calculated hazard ratios (HR) with 95% confidence intervals (CI), for each cohort as well as stratified by sex and vascular disease/risk factors. RESULTS Median follow-up time was 2.2 years in EAS and 3.0 years in NuAge. Individuals with elevated baseline homocysteine levels (> 14 µmol/L) had a significantly higher risk of incident MCR compared to those with normal levels in NuAge (HR 1.41, 95% CI = 1.01-1.97, p = .04), after adjusting for covariates. Our exploratory stratified analyses found that these associations were significant only in men with vascular disease/risk factors. CONCLUSIONS Higher blood homocysteine levels are associated with increased risk of developing MCR in older adults, particularly in men with vascular disease or vascular risk factors.
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Affiliation(s)
- Kelly Cotton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Ying Jin
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Olivier Beauchet
- Research Centre of the Geriatric University Institute of Montreal, Montreal, QC, Canada
- Department of Medicine, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Mindy Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Kevin Galery
- Research Centre of the Geriatric University Institute of Montreal, Montreal, QC, Canada
| | - Pierrette Gaudreau
- Department of Medicine, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
- Centre Hospitalier de l'Université de Montréal Research Center, Montreal, QC, Canada
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
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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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Thurston RC, Maki P, Chang Y, Wu M, Aizenstein HJ, Derby CA, Karikari TK. Menopausal vasomotor symptoms and plasma Alzheimer disease biomarkers. Am J Obstet Gynecol 2024; 230:342.e1-342.e8. [PMID: 37939982 PMCID: PMC10939914 DOI: 10.1016/j.ajog.2023.11.002] [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] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Identifying risk factors for Alzheimer disease in women is important as women compose two-thirds of individuals with Alzheimer disease. Previous work links vasomotor symptoms, the cardinal menopausal symptom, with poor memory performance and alterations in brain structure, function, and connectivity. These associations are evident when vasomotor symptoms are monitored objectively with ambulatory skin conductance monitors. OBJECTIVE This study aimed to determine whether vasomotor symptoms are associated with Alzheimer disease biomarkers. STUDY DESIGN Between 2017 and 2020, the MsBrain study enrolled 274 community-dwelling women aged 45 to 67 years who had a uterus and at least 1 ovary and were late perimenopausal or postmenopausal status. The key exclusion criteria included neurologic disorder, surgical menopause, and recent use of hormonal or nonhormonal vasomotor symptom treatment. Women underwent 24 hours of ambulatory skin conductance monitoring to assess vasomotor symptoms. Plasma concentrations of Alzheimer disease biomarkers, including amyloid β 42-to-amyloid β 40 ratio, phosphorylated tau (181 and 231), glial fibrillary acidic protein, and neurofilament light, were measured using a single-molecule array (Simoa) technology. Associations between vasomotor symptoms and Alzheimer disease biomarkers were assessed via linear regression models adjusted for age, race and ethnicity, education, body mass index, and apolipoprotein E4 status. Additional models adjusted for estradiol and sleep. RESULTS A total of 248 (mean age, 59.06 years; 81% White; 99% postmenopausal status) of enrolled MsBrain participants contributed data. Objectively assessed vasomotor symptoms occurring during sleep were associated with significantly lower amyloid β 42/amyloid β 40, (beta, -.0010 [standard error, .0004]; P=.018; multivariable), suggestive of greater brain amyloid β pathology. The findings remained significant after additional adjustments for estradiol and sleep. CONCLUSION Nighttime vasomotor symptoms may be a marker of women at risk of Alzheimer disease. It is yet unknown if these associations are causal.
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Affiliation(s)
- Rebecca C Thurston
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA.
| | - Pauline Maki
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL; Department of Psychology, University of Illinois at Chicago, Chicago, IL; Department of Obstetrics and Gynecology, University of Illinois at Chicago, Chicago, IL
| | - Yuefang Chang
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA
| | - Minjie Wu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | | | - Carol A Derby
- Departments of Neurology and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
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6
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Thurston RC, Chang Y, Kline CE, Swanson LM, El Khoudary SR, Jackson EA, Derby CA. Trajectories of Sleep Over Midlife and Incident Cardiovascular Disease Events in the Study of Women's Health Across the Nation. Circulation 2024; 149:545-555. [PMID: 38284249 PMCID: PMC10922947 DOI: 10.1161/circulationaha.123.066491] [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: 07/27/2023] [Accepted: 01/06/2024] [Indexed: 01/30/2024]
Abstract
BACKGROUND Up to 50% of women report sleep problems in midlife, and cardiovascular disease (CVD) is the leading cause of death in women. How chronic poor sleep exposure over decades of midlife is related to CVD risk in women is poorly understood. We tested whether trajectories of insomnia symptoms or sleep duration over midlife were related to subsequent CVD events among SWAN (Study of Women's Health Across the Nation) participants, whose sleep was assessed up to 16 times over 22 years. METHODS At baseline, SWAN participants (n=2964) were 42 to 52 years of age, premenopausal or early perimenopausal, not using hormone therapy, and free of CVD. They completed up to 16 visits, including questionnaires assessing insomnia symptoms (trouble falling asleep, waking up several times a night, or waking earlier than planned ≥3 times/week classified as insomnia), typical daily sleep duration, vasomotor symptoms, and depressive symptoms; anthropometric measurements; phlebotomy; and CVD event ascertainment (ie, fatal or nonfatal myocardial infarction, stroke, heart failure, revascularization). Sleep trajectories (ie, insomnia, sleep duration) were determined by means of group-based trajectory modeling. Sleep trajectories were tested in relation to CVD in Cox proportional hazards models (multivariable models: site, age, race and ethnicity, education, CVD risk factors averaged over visits; additional covariates: vasomotor symptoms, snoring, depression). RESULTS Four trajectories of insomnia symptoms emerged: low insomnia symptoms (n=1142 [39% of women]), moderate insomnia symptoms decreasing over time (n=564 [19%]), low insomnia symptoms increasing over time (n=590 [20%]), and high insomnia symptoms that persisted (n=668 [23%]). Women with persistently high insomnia symptoms had higher CVD risk (hazard ratio, 1.71 [95% CI, 1.19, 2.46], P=0.004, versus low insomnia; multivariable). Three trajectories of sleep duration emerged: persistently short (~5 hours: n=363 [14%]), moderate (~6 hours: n=1394 [55%]), and moderate to long (~8 hours: n=760 [30%]). Women with persistent short sleep had marginally higher CVD risk (hazard ratio, 1.51 [95% CI, 0.98, 2.33], P=0.06, versus moderate; multivariable). Women who had both persistent high insomnia and short sleep had significantly elevated CVD risk (hazard ratio, 1.75 [95% CI, 1.03, 2.98], P=0.04, versus low insomnia and moderate or moderate to long sleep duration; multivariable). Relations of insomnia to CVD persisted when adjusting for vasomotor symptoms, snoring, or depression. CONCLUSIONS Insomnia symptoms, when persistent over midlife or occurring with short sleep, are associated with higher CVD risk among women.
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Affiliation(s)
- Rebecca C. Thurston
- University of Pittsburgh School of Medicine, Department of Psychiatry
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology
| | - Yuefang Chang
- University of Pittsburgh School of Medicine, Department of Neurological Surgery
| | - Christopher E. Kline
- University of Pittsburgh School of Education, Department of Health and Human Development
| | | | - Samar R. El Khoudary
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology
| | - Elizabeth A. Jackson
- University of Alabama at Birmingham School of Medicine, Department of Medicine, Division of Cardiology
| | - Carol A. Derby
- Albert Einstein College of Medicine, Department of Neurology and Department of Epidemiology and Population Health
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Nester CO, Gao Q, Katz MJ, Mogle JA, Wang C, Derby CA, Lipton RB, Saykin AJ, Rabin LA. Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort. J Alzheimers Dis 2024; 98:319-332. [PMID: 38393900 DOI: 10.3233/jad-230752] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Background The Cognitive Change Index (CCI) is a widely-used measure of self-perceived cognitive ability and change. Unfortunately, it is unclear if the CCI predicts future cognitive and clinical decline. Objective We evaluated baseline CCI to predict transition from normal cognition to cognitive impairment in nondemented older adults and in predementia groups including, subjective cognitive decline, motoric cognitive risk syndrome, and mild cognitive impairment. Different versions of the CCI were assessed to uncover any differential risk sensitivity. We also examined the effect of ethnicity/race on CCI. Methods Einstein Aging Study participants (N = 322, Mage = 77.57±4.96, % female=67.1, Meducation = 15.06±3.54, % non-Hispanic white = 46.3) completed an expanded 40-item CCI version (CCI-40) and neuropsychological evaluation (including Clinical Dementia Rating Scale [CDR], Montreal Cognitive Assessment, and Craft Story) at baseline and annual follow-up (Mfollow - up=3.4 years). CCI-40 includes the original 20 items (CCI-20) and the first 12 memory items (CCI-12). Linear mixed effects models (LME) and generalized LME assessed the association of CCI total scores at baseline with rate of decline in neuropsychological tests and CDR. Results In the overall sample and across predementia groups, the CCI was associated with rate of change in log odds on CDR, with higher CCI at baseline predicting faster increase in the odds of being impaired on CDR. The predictive validity of the CCI broadly held across versions (CCI-12, 20, 40) and ethnic/racial groups (non-Hispanic black and white). Conclusions Self-perception of cognitive change on the CCI is a useful marker of dementia risk in demographically/clinically diverse nondemented samples. All CCI versions successfully predicted decline.
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Affiliation(s)
- Caroline O Nester
- Department of Psychology, The Graduate Center, City University of New York, New York, NY, USA
- Department of Psychology, Queens College, City University of New York, Queens, NY, USA
| | - Qi Gao
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jacqueline A Mogle
- College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, USA
| | - Cuiling Wang
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carol A Derby
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B Lipton
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana Alzheimer's Disease Research Center, IU Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura A Rabin
- Department of Psychology, The Graduate Center, City University of New York, New York, NY, USA
- Department of Psychology, Brooklyn College, City University of New York, Brooklyn, NY, USA
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8
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Ji L, Wallace ML, Master L, Schade MM, Shen Y, Derby CA, Buxton OM. Six multidimensional sleep health facets in older adults identified with factor analysis of actigraphy: Results from the Einstein Aging Study. Sleep Health 2023; 9:758-766. [PMID: 37246064 PMCID: PMC10593097 DOI: 10.1016/j.sleh.2023.03.002] [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] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 02/17/2023] [Accepted: 03/19/2023] [Indexed: 05/30/2023]
Abstract
OBJECTIVES The concept of multi-dimensional sleep health, originally based on self-report, was recently extended to actigraphy in older adults, yielding five components, but without a hypothesized rhythmicity factor. The current study extends prior work using a sample of older adults with a longer period of actigraphy follow-up, which may facilitate observation of the rhythmicity factor. METHODS Wrist actigraphy measures of participants (N = 289, Mage = 77.2 years, 67% females; 47% White, 40% Black, 13% Hispanic/Others) over 2 weeks were used in exploratory factor analysis to determine factor structures, followed by confirmatory factor analysis on a different subsample. The utility of this approach was demonstrated by associations with global cognitive performance (Montreal Cognitive Assessment). RESULTS Exploratory factor analysis identified six factors: Regularity: standard deviations of four sleep measures: midpoint, sleep onset time, night total sleep time (TST), and 24-hour TST; Alertness/Sleepiness (daytime): amplitude, napping (mins and #/day); Timing: sleep onset, midpoint, wake-time (of nighttime sleep); up-mesor, acrophase, down-mesor; Efficiency: sleep maintenance efficiency, wake after sleep onset; Duration: night rest interval(s), night TST, 24-hour rest interval(s), 24-hour TST; Rhythmicity (pattern across days): mesor, alpha, and minimum. Greater sleep efficiency was associated with better Montreal Cognitive Assessment performance (β [95% confidence interval] = 0.63 [0.19, 1.08]). CONCLUSIONS Actigraphic records over 2 weeks revealed that Rhythmicity may be an independent factor in sleep health. Facets of sleep health can facilitate dimension reduction, be considered predictors of health outcomes, and be potential targets for sleep interventions.
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Affiliation(s)
- Linying Ji
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Meredith L Wallace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lindsay Master
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Margeaux M Schade
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Yuqi Shen
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, and Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Orfeu M Buxton
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA.
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9
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Lennon MJ, Lam BCP, Lipnicki DM, Crawford JD, Peters R, Schutte AE, Brodaty H, Thalamuthu A, Rydberg-Sterner T, Najar J, Skoog I, Riedel-Heller SG, Röhr S, Pabst A, Lobo A, De-la-Cámara C, Lobo E, Bello T, Gureje O, Ojagbemi A, Lipton RB, Katz MJ, Derby CA, Kim KW, Han JW, Oh DJ, Rolandi E, Davin A, Rossi M, Scarmeas N, Yannakoulia M, Dardiotis T, Hendrie HC, Gao S, Carrière I, Ritchie K, Anstey KJ, Cherbuin N, Xiao S, Yue L, Li W, Guerchet MM, Preux PM, Aboyans V, Haan MN, Aiello AE, Ng TP, Nyunt MSZ, Gao Q, Scazufca M, Sachdev PSS. Use of Antihypertensives, Blood Pressure, and Estimated Risk of Dementia in Late Life: An Individual Participant Data Meta-Analysis. JAMA Netw Open 2023; 6:e2333353. [PMID: 37698858 PMCID: PMC10498335 DOI: 10.1001/jamanetworkopen.2023.33353] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/28/2023] [Indexed: 09/13/2023] Open
Abstract
Importance The utility of antihypertensives and ideal blood pressure (BP) for dementia prevention in late life remains unclear and highly contested. Objectives To assess the associations of hypertension history, antihypertensive use, and baseline measured BP in late life (age >60 years) with dementia and the moderating factors of age, sex, and racial group. Data Source and Study Selection Longitudinal, population-based studies of aging participating in the Cohort Studies of Memory in an International Consortium (COSMIC) group were included. Participants were individuals without dementia at baseline aged 60 to 110 years and were based in 15 different countries (US, Brazil, Australia, China, Korea, Singapore, Central African Republic, Republic of Congo, Nigeria, Germany, Spain, Italy, France, Sweden, and Greece). Data Extraction and Synthesis Participants were grouped in 3 categories based on previous diagnosis of hypertension and baseline antihypertensive use: healthy controls, treated hypertension, and untreated hypertension. Baseline systolic BP (SBP) and diastolic BP (DBP) were treated as continuous variables. Reporting followed the Preferred Reporting Items for Systematic Review and Meta-Analyses of Individual Participant Data reporting guidelines. Main Outcomes and Measures The key outcome was all-cause dementia. Mixed-effects Cox proportional hazards models were used to assess the associations between the exposures and the key outcome variable. The association between dementia and baseline BP was modeled using nonlinear natural splines. The main analysis was a partially adjusted Cox proportional hazards model controlling for age, age squared, sex, education, racial group, and a random effect for study. Sensitivity analyses included a fully adjusted analysis, a restricted analysis of those individuals with more than 5 years of follow-up data, and models examining the moderating factors of age, sex, and racial group. Results The analysis included 17 studies with 34 519 community dwelling older adults (20 160 [58.4%] female) with a mean (SD) age of 72.5 (7.5) years and a mean (SD) follow-up of 4.3 (4.3) years. In the main, partially adjusted analysis including 14 studies, individuals with untreated hypertension had a 42% increased risk of dementia compared with healthy controls (hazard ratio [HR], 1.42; 95% CI 1.15-1.76; P = .001) and 26% increased risk compared with individuals with treated hypertension (HR, 1.26; 95% CI, 1.03-1.53; P = .02). Individuals with treated hypertension had no significant increased dementia risk compared with healthy controls (HR, 1.13; 95% CI, 0.99-1.28; P = .07). The association of antihypertensive use or hypertension status with dementia did not vary with baseline BP. There was no significant association of baseline SBP or DBP with dementia risk in any of the analyses. There were no significant interactions with age, sex, or racial group for any of the analyses. Conclusions and Relevance This individual patient data meta-analysis of longitudinal cohort studies found that antihypertensive use was associated with decreased dementia risk compared with individuals with untreated hypertension through all ages in late life. Individuals with treated hypertension had no increased risk of dementia compared with healthy controls.
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Affiliation(s)
- Matthew J. Lennon
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Ben Chun Pan Lam
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Darren M. Lipnicki
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - John D. Crawford
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Ruth Peters
- The George Institute for Global Health, Sydney, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, Australia
- School of Public Health, Imperial College London, London, United Kingdom
| | - Aletta E. Schutte
- The George Institute for Global Health, Sydney, Australia
- School of Population Health, University of New South Wales, Sydney, Australia
| | - Henry Brodaty
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Eastern Suburbs Older Persons’ Mental Health Service, Sydney, Australia
| | - Anbupalam Thalamuthu
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Therese Rydberg-Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg, Gothenburg, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - 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
- School of Psychology, Manawatu Campus, Massey University, Palmerston North, New Zealand
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Concepción De-la-Cámara
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Elena Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Toyin Bello
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oye Gureje
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Akin Ojagbemi
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Mindy J. Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Carol A. Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
| | - Dae Jong Oh
- Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Elena Rolandi
- Golgi Cenci Foundation, Abbiategrasso, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | | | | | - Nikolaos Scarmeas
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, New York
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Themis Dardiotis
- Department of Neurology, University Hospital of Larissa, Larissa, Greece
- Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Hugh C. Hendrie
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis
- Indiana Alzheimer Disease Research Center, Indiana Alzheimer Disease Research Center, Indianapolis
| | - Sujuan Gao
- Indiana Alzheimer Disease Research Center, Indiana Alzheimer Disease Research Center, Indianapolis
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis
| | - Isabelle Carrière
- Institut for Neurosciences of Montpellier, University Montpellier, National Institute for Health and Medical Research, Montpellier, France
| | - Karen Ritchie
- Institut for Neurosciences of Montpellier, University Montpellier, National Institute for Health and Medical Research, Montpellier, France
- Institut du Cerveau Trocadéro, Paris, France
| | - Kaarin J. Anstey
- University of New South Wales, School of Psychology, Sydney, Australia
- Ageing Futures Institute, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, 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
- Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Maëlenn M. Guerchet
- National Institute for Health and Medical Research U1094, Institut de Recherche pour le Developpement UMR270, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, University Limoges, Centre Hospitalier et Universitaire Limoges, Limoges, France
| | - Pierre-Marie Preux
- National Institute for Health and Medical Research U1094, Institut de Recherche pour le Developpement UMR270, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, University Limoges, Centre Hospitalier et Universitaire Limoges, Limoges, France
| | - Victor Aboyans
- National Institute for Health and Medical Research U1094, Institut de Recherche pour le Developpement UMR270, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, University Limoges, Centre Hospitalier et Universitaire Limoges, Limoges, France
- Department of Cardiology, Dupuytren 2 University Hospital, Limoges, France
| | - Mary N. Haan
- School of Medicine, University of California, San Francisco
| | - Allison E. Aiello
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Tze Pin Ng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Geriatric Education and Research Institute, Ministry of Health, Singapore, Singapore
| | - Ma Shwe Zin Nyunt
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Qi Gao
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Marcia Scazufca
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Perminder S. S. Sachdev
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Aging, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
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Qi M, Janssen I, Barinas-Mitchell E, Budoff M, Brooks MM, Karlamangla AS, Derby CA, Chang CCH, Shields KJ, El Khoudary SR. The quantity and quality of cardiovascular fat at mid-life and future cognitive performance among women: The SWAN cardiovascular fat ancillary study. Alzheimers Dement 2023; 19:4073-4083. [PMID: 37212597 DOI: 10.1002/alz.13133] [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] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 05/23/2023]
Abstract
INTRODUCTION Cardiovascular fat is a novel risk factor that may link to dementia. Fat volume and radiodensity are measurements of fat quantity and quality, respectively. Importantly, high fat radiodensity could indicate healthy or adverse metabolic processes. METHODS The associations of cardiovascular fat (including epicardial, paracardial, and thoracic perivascular adipose tissue [PVAT]) quantity and quality assessed at mean age of 51 with subsequent cognitive performance measured repeatedly over 16 years of follow-up were examined using mixed models among 531 women. RESULTS Higher thoracic PVAT volume was associated with a higher future episodic memory (β[standard error (SE)] = 0.08 [0.04], P = 0.033), while higher thoracic PVAT radiodensity with lower future episodic (β[SE] = -0.06 [0.03], P = 0.045) and working (β[SE] = -0.24 [0.08], P = 0.003) memories. The latter association is prominent at higher volume of thoracic PVAT. DISCUSSION Mid-life thoracic PVAT may have a distinct contribution to future cognition possibly due to its distinct adipose tissue type (brown fat) and anatomical proximity to the brain circulation. HIGHLIGHTS Higher mid-life thoracic perivascular adipose tissue (thoracic PVAT) volume is related to a better future episodic memory in women. Higher mid-life thoracic PVAT radiodensity is related to worse future working and episodic memories. Negative association of high thoracic PVAT radiodensity with working memory is prominent at higher thoracic PVAT volume. Mid-life thoracic PVAT is linked to future memory loss, an early sign of Alzheimer's disease. Mid-life women's epicardial and paracardial fat are not related to future cognition.
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Affiliation(s)
- Meiyuzhen Qi
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Rush Medical Center, Chicago, Illinois, USA
| | - Emma Barinas-Mitchell
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Matthew Budoff
- Harbor-UCLA Medical Center, Lundquist Institute, Torrance, California, USA
| | - Maria M Brooks
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Arun S Karlamangla
- University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | - Carol A Derby
- Albert Einstein College of Medicine Department of Neurology and Department of Epidemiology & Public Health, Bronx, New York, USA
| | - Chung-Chou H Chang
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | | | - Samar R El Khoudary
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
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11
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Hyun J, Katz MJ, Derby CA, Roque N, Muñoz E, Sliwinski MJ, Lovasi GS, Lipton RB. Availability of healthy foods, fruit and vegetable consumption, and cognition among urban older adults. BMC Geriatr 2023; 23:302. [PMID: 37198552 PMCID: PMC10189949 DOI: 10.1186/s12877-023-04003-z] [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] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/26/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND . Although prior studies have examined the associations between neighborhood characteristics and cognitive health, little is known about whether local food environments, which are critical for individuals' daily living, are associated with late-life cognition. Further, little is known about how local environments may shape individuals' health-related behaviors and impact cognitive health. The aim of this study is to examine whether objective and subjective measures of healthy food availability are associated with ambulatory cognitive performance and whether behavioral and cardiovascular factors mediate these associations among urban older adults. METHODS . The sample consisted of systematically recruited, community-dwelling older adults (N = 315, mean age = 77.5, range = 70-91) from the Einstein Aging Study. Objective availability of healthy foods was defined as density of healthy food stores. Subjective availability of healthy foods and fruit/vegetable consumption were assessed using self-reported questionnaires. Cognitive performance was assessed using smartphone-administered cognitive tasks that measured processing speed, short-term memory binding, and spatial working memory performance 6 times a day for 14 days. RESULTS . Results from multilevel models showed that subjective availability of healthy foods, but not objective food environments, was associated with better processing speed (estimate= -0.176, p = .003) and more accurate memory binding performance (estimate = 0.042, p = .012). Further, 14~16% of the effects of subjective availability of healthy foods on cognition were mediated through fruit and vegetable consumption. CONCLUSIONS . Local food environments seem to be important for individuals' dietary behavior and cognitive health. Specifically, subjective measures of food environments may better reflect individuals' experiences regarding their local food environments not captured by objective measures. Future policy and intervention strategies will need to include both objective and subjective food environment measures in identifying impactful target for intervention and evaluating effectiveness of policy changes.
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Affiliation(s)
- Jinshil Hyun
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
| | - Mindy J Katz
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Carol A Derby
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Nelson Roque
- Department of Psychology, University of Central Florida, Orlando, FL, USA
| | - Elizabeth Muñoz
- Department of Human Development and Family Sciences, University of Texas Austin, Austin, TX, USA
| | - Martin J Sliwinski
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA, USA
| | - Gina S Lovasi
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Richard B Lipton
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
- Headache Center, Montefiore Medical Center, Bronx, NY, USA
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12
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Swanson LM, Hood MM, Hall MH, Avis NE, Joffe H, Colvin A, Ruppert K, Kravitz HM, Neal-Perry G, Derby CA, Hess R, Harlow SD. Sleep timing, sleep regularity, and psychological health in early late life women: Findings from the Study of Women's Health Across the Nation (SWAN). Sleep Health 2023; 9:203-210. [PMID: 36509657 PMCID: PMC10478033 DOI: 10.1016/j.sleh.2022.11.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To examine the associations of actigraphy-assessed sleep timing and regularity with psychological health in early late life women, whose circadian rhythms may be impacted by aging. DESIGN Cross-sectional. PARTICIPANTS A racially/ethnically diverse sample of 1197 community-dwelling women (mean age 65 years) enrolled in the Study of Women's Health Across the Nation. MEASURES Actigraphy-assessed sleep measures included timing (mean midpoint from sleep onset to wake-up) and regularity (standard deviation of midpoint in hours). Psychological health measures included a composite well-being score, the Center for Epidemiological Studies Depression Scale, and the Generalized Anxiety Disorder-7 Scale. Linear and logistic regression models, adjusted for covariates (including sleep duration), tested associations between sleep and psychological health measures. RESULTS After covariate adjustment, a sleep midpoint outside of 2:00-4: 00 AM was significantly associated with depressive symptoms (β = 0.88, 95% CI = 0.06, 1.70) and scoring above the cut-point for clinically significant depressive symptoms (OR = 1.72, 95% CI = 1.15, 2.57). Sleep irregularity was significantly associated with lower psychological well-being (β = -0.18, 95% CI = -0.33, -0.03), depressive (β = 1.36, 95% CI = 0.29, 2.44) and anxiety (β = 0.93, 95% CI = 0.40, 1.46) symptoms, and scoring above the cut-point for clinically significant depressive (OR = 1.68, 95% CI = 1.01, 2.79) and anxiety (OR = 1.62, 95% CI = 1.07, 2.43) symptoms. CONCLUSION Above and beyond sleep duration, a sleep midpoint outside of 2:00-4:00 AM was associated with depressive symptoms while sleep irregularity was associated with multiple psychological health domains in late life women.
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Affiliation(s)
- Leslie M Swanson
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA.
| | - Michelle M Hood
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Nancy E Avis
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Hadine Joffe
- Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alicia Colvin
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kristine Ruppert
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Howard M Kravitz
- Department of Psychiatry and Behavioral Sciences and Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Genevieve Neal-Perry
- Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Carol A Derby
- The Saul R. Korey Department of Neurology, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Rachel Hess
- Department of Population Health Sciences, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Siobán D Harlow
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
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13
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Wang Z, Hedderson M, Derby CA, Brooks MM, Thurston RC, Crawford SL, Janssen I, McConnell D, Barinas-Mitchell E, El Khoudary SR. Abstract P509: Does HDL-C Classification as a Criterion for Metabolic Syndrome Contribute to Alleviated Risks of Future Atherosclerosis and Incident Diabetes Among Midlife Women? The Study of Women’s Health Across the Nation (SWAN). Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p509] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Introduction:
In women, metabolic syndrome (MetS) is identified when at least 3 of the following risk factors exist: waist circumference > 88 cm, HDL-C < 50 mg/dL, triglycerides (TG) ≥ 150 mg/dL, fasting glucose ≥ 110 mg/dL, and hypertension. However, previous studies challenged the belief that HDL-C is protective for midlife women, casting doubts on HDL-C as one of the criteria for diagnosing MetS in this population.
Hypothesis:
We hypothesize that among midlife women classified as having MetS based on criteria independent of HDL-C, HDL-C classification does not contribute to risk of future subclinical atherosclerosis or incident diabetes.
Methods:
Participants from the SWAN study with complete data on MetS were classified into the following groups: 1) no MetS or 2) MetS independent of HDL-C; which was classified into MetS with HDL-C ≥ 50 mg/dL (MetS high), or MetS with HDL-C < 50 mg/dL (MetS low). Carotid intima-media thickness (cIMT) was measured after 13.8±0.6 years of follow-up. Incident diabetes was recorded based on medication use, fasting glucose ≥ 126 mg/dL and/or self-reports over time. Linear regression and discrete-time survival analysis were used for analysis.
Results:
Among 2994 women age 45.9±2.7 years, 2528 had no MetS (88%), 85 had MetS high (3%), and 235 had MetS low (8%) at baseline. In model 1, compared to no MetS group, MetS high or low group had higher cIMT and higher odds of diabetes. The risk did not differ between MetS low vs. high group. Adjusting for levels of MetS criteria other than HDL-C explained the associations of each of the two MetS groups with cIMT. Conversely, MetS with low HDL-C remained associated with a higher risk of incident diabetes (
Table 1
).
Conclusions:
Midlife women with MetS have elevated risk for incident diabetes and subclinical atherosclerosis regardless of HDL-C levels. The elevated risk is explained by levels of criteria of MetS other than HDL-C for cIMT but not for diabetes. Low HDL-C on top of other MetS criteria doesn’t contribute equally to future cardiovascular risk prediction in midlife women.
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14
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Thurston RC, Wu M, Barinas-Mitchell E, Chang Y, Aizenstein H, Derby CA, Maki PM. Carotid intima media thickness and white matter hyperintensity volume among midlife women. Alzheimers Dement 2023. [PMID: 36722746 PMCID: PMC10390649 DOI: 10.1002/alz.12951] [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: 08/24/2022] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Carotid atherosclerosis may be associated with brain white matter hyperintensities (WMH). Few studies consider women at midlife, a critical time for women's cardiovascular and brain health. We tested the hypothesis that higher carotid intima media thickness (IMT) would be associated with greater WMH volume (WMHV) among midlife women. We explored interactions by apolipoprotein E (APOE) ε4 status. METHODS Two hundred thirty-nine women aged 45 to 67 underwent carotid artery ultrasound, phlebotomy, and magnetic resonance imaging (MRI). One hundred seventy participants had undergone an ultrasound 5 years earlier. RESULTS Higher IMT was associated with greater whole brain (B[standard error (SE)] = 0.77 [.31], P = 0.01; multivariable) and periventricular (B[SE] = 0.80 [.30], P = 0.008; multivariable) WMHV. Associations were observed for IMT assessed contemporaneously with the MRI and 5 years prior to the MRI. Associations were strongest for APOE ε4-positive women. DISCUSSION Among midlife women, higher IMT was associated with greater WMHV. Vascular risk is critical to midlife brain health, particularly for APOE ε4-positive women.
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Affiliation(s)
- Rebecca C Thurston
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Minjie Wu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Yuefang Chang
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Howard Aizenstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Carol A Derby
- Department of Neurology, and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Pauline M Maki
- Departments of Psychiatry, Psychology, and Obstetrics and Gynecology, University of Illinois at Chicago, Chicago, Illinois, USA
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15
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Jakubowski KP, Koffer RE, Matthews KA, Burnett-Bowie SAM, Derby CA, Yu EW, Green R, Thurston RC. Psychosocial impacts of the COVID-19 pandemic on women with trauma histories: Study of Women's Health Across the Nation (SWAN). J Trauma Stress 2023; 36:167-179. [PMID: 36463566 PMCID: PMC9877990 DOI: 10.1002/jts.22896] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 09/23/2022] [Accepted: 09/30/2022] [Indexed: 12/07/2022]
Abstract
Older adults, particularly those with trauma histories, may be vulnerable to adverse psychosocial outcomes during the COVID-19 pandemic. We tested associations between prepandemic childhood abuse or intimate partner violence (IPV) and elevated depressive, anxiety, conflict, and sleep symptoms during the pandemic among aging women. Women (N = 582, age: 65-77 years) from three U.S. sites (Pittsburgh, Boston, Newark) of the longitudinal Study of Women's Health Across the Nation (SWAN) reported pandemic-related psychosocial impacts from June 2020-March 2021. Prepandemic childhood abuse; physical/emotional IPV; social functioning; physical comorbidities; and depressive, anxiety, and sleep symptoms were drawn from SWAN assessments between 2009 and 2017. There were no measures of prepandemic conflict. In total, 47.7% and 35.3% of women, respectively, reported childhood abuse or IPV. Using logistic regression models adjusted for age; race/ethnicity; education; site; prepandemic social functioning and physical comorbidities; and, in respective models, prepandemic depressive, anxiety, or sleep symptoms, childhood abuse predicted elevated anxiety symptoms, OR = 1.67, 95% CI [1.10, 2.54]; household conflict, OR = 2.19, 95% CI [1.32, 3.61]; and nonhousehold family conflict, OR = 2.14, 95% CI [1.29, 3.55]. IPV predicted elevated sleep problems, OR = 1.63, 95% CI [1.07, 2.46], and household conflict, OR = 1.96, 95% CI [1.20, 3.21]. No associations emerged for depressive symptoms after adjusting for prepandemic depression. Aging women with interpersonal trauma histories reported worse anxiety, sleep, and conflict during the COVID-19 pandemic than those without. Women's trauma histories and prepandemic symptoms are critical to understanding the psychosocial impacts of the pandemic.
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Affiliation(s)
- Karen P Jakubowski
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rachel E Koffer
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Carol A Derby
- Department of Neurology, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Elaine W Yu
- Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Robin Green
- Department of Neurology, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Rebecca C Thurston
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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16
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Thurston RC, Wu M, Chang YF, Aizenstein HJ, Derby CA, Barinas-Mitchell EA, Maki P. Menopausal Vasomotor Symptoms and White Matter Hyperintensities in Midlife Women. Neurology 2023; 100:e133-e141. [PMID: 36224031 PMCID: PMC9841446 DOI: 10.1212/wnl.0000000000201401] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/30/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The menopause transition is increasingly recognized as a time of importance for women's brain health. A growing body of work indicates that the classic menopausal symptom, vasomotor symptom (VMS), may be associated with poorer cardiovascular health. Other work links VMS to poorer cognition. We investigate whether VMS, when rigorously assessed using physiologic measures, are associated with greater white matter hyperintensity volume (WMHV) among midlife women. We consider a range of potential explanatory factors in these associations and explore whether VMS are associated with the spatial distribution of WMHV. METHODS Women aged 45-67 years and free of hormone therapy underwent 24 hours of physiologic VMS monitoring (sternal skin conductance), actigraphy assessment of sleep, physical measures, phlebotomy, and 3 Tesla neuroimaging. Associations between VMS (24-hour, wake, and sleep VMS, with wake and sleep intervals defined by actigraphy) and whole brain WMHV were considered in linear regression models adjusted for age, race, education, smoking, body mass index, blood pressure, insulin resistance, and lipids. Secondary models considered WMHV in specific brain regions (deep, periventricular, frontal, temporal, parietal, and occipital) and additional covariates including sleep. RESULTS The study sample included 226 women. Physiologically assessed VMS were associated with greater whole brain WMHV in multivariable models, with the strongest associations observed for sleep VMS (24-hour VMS, B[SE] = 0.095 [0.045], p = 0.032; Wake VMS, B[SE] = 0.078 [0.046], p = 0.089, Sleep VMS, B[SE] = 0.173 [0.060], p = 0.004). Associations were not accounted for by additional covariates including actigraphy-assessed sleep (wake after sleep onset). When considering the spatial distribution of WMHV, sleep VMS were associated with both deep WMHV, periventricular WMHV, and frontal lobe WMHV. DISCUSSION VMS, particularly VMS occurring during sleep, were associated with greater WMHV. Identification of female-specific midlife markers of poor brain health later in life is critical to identify women who warrant early intervention and prevention. VMS have the potential to serve as female-specific midlife markers of brain health in women.
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Affiliation(s)
- Rebecca C Thurston
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL.
| | - Minjie Wu
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
| | - Yue-Fang Chang
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
| | - Howard J Aizenstein
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
| | - Carol A Derby
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
| | - Emma A Barinas-Mitchell
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
| | - Pauline Maki
- From the Department of Psychiatry (R.C.T., M.W., H.J.A.), Epidemiology (R.C.T., E.A.B.-M.), Psychology (R.C.T.), and Neurosurgery (Y.-F.C.), University of Pittsburgh, PA; Department of Neurology and Epidemiology and Population Health (C.A.D.), Albert Einstein College of Medicine, Bronx, NY; and Department of Psychiatry (P.M.), University of Illinois at Chicago, IL
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17
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Wu W, Ding D, Zhao Q, Xiao Z, Luo J, Ganguli M, Hughes TF, Jacobsen E, Haan MN, van Dang K, Lima-Costa MF, Blay SL, de Castro-Costa E, Ng TP, Gwee X, Gao Q, Gureje O, Ojagbemi A, Bello T, Shahar S, Ludin AFM, Rivan NFM, Scarmeas N, Anastasiou CA, Yannakoulia M, Brodaty H, Crawford JD, Lipton RB, Derby CA, Katz MJ, Lipnicki DM, Sachdev PS. Dose-response relationship between late-life physical activity and incident dementia: A pooled analysis of 10 cohort studies of memory in an international consortium. Alzheimers Dement 2023; 19:107-122. [PMID: 35290713 PMCID: PMC9652610 DOI: 10.1002/alz.12628] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 01/22/2022] [Accepted: 01/24/2022] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Though consistent evidence suggests that physical activity may delay dementia onset, the duration and amount of activity required remains unclear. METHODS We harmonized longitudinal data of 11,988 participants from 10 cohorts in eight countries to examine the dose-response relationship between late-life physical activity and incident dementia among older adults. RESULTS Using no physical activity as a reference, dementia risk decreased with duration of physical activity up to 3.1 to 6.0 hours/week (hazard ratio [HR] 0.88, 95% confidence interval [CI] 0.67 to 1.15 for 0.1 to 3.0 hours/week; HR 0.68, 95% CI 0.52 to 0.89 for 3.1 to 6.0 hours/week), but plateaued with higher duration. For the amount of physical activity, a similar pattern of dose-response curve was observed, with an inflection point of 9.1 to 18.0 metabolic equivalent value (MET)-hours/week (HR 0.92, 95% CI 0.70 to 1.22 for 0.1 to 9.0 MET-hours/week; HR 0.70, 95% CI 0.53 to 0.93 for 9.1 to 18.0 MET-hours/week). DISCUSSION This cross-national analysis suggests that performing 3.1 to 6.0 hours of physical activity and expending 9.1 to 18.0/MET-hours of energy per week may reduce dementia risk.
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Affiliation(s)
- Wanqing Wu
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Mary Ganguli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Tiffany F Hughes
- Department of Health Professions, Youngstown State University, OH, USA
| | - Erin Jacobsen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Mary N Haan
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, USA
| | - Kristine van Dang
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, USA
| | - Maria Fernanda Lima-Costa
- Center for Studies in Public Health and Aging’ René Rachou Research Center, Oswaldo Cruz Foundation, Belo Horizonte, Brazil
| | - Sergio Luis Blay
- Department of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Erico de Castro-Costa
- Center for Studies in Public Health and Aging’ René Rachou Research Center, Oswaldo Cruz Foundation, Belo Horizonte, Brazil
| | - Tze Pin Ng
- Department of Psychological Medicine, National University of Singapore, Singapore, Singapore
| | - Xinyi Gwee
- Department of Psychological Medicine, National University of Singapore, Singapore, Singapore
| | - Qi Gao
- National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, Singapore, Singapore
| | - Oye Gureje
- Department of Psychiatry, University of Ibadan, Ibadan, Nigeria
| | - Akin Ojagbemi
- Department of Psychiatry, University of Ibadan, Ibadan, Nigeria
| | - Toyin Bello
- Department of Psychiatry, University of Ibadan, Ibadan, Nigeria
| | - Suzana Shahar
- Dietetic Program, Centre for Healthy Aging, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Arimi Fitri Mat Ludin
- Biomedical Science Program, Centre for Healthy Aging, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nurul Fatin Malek Rivan
- Nutritional Sciences Program, Centre for Healthy Aging, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | | | | | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, New York, USA
| | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, New York, USA
| | - Mindy J Katz
- Department of Neurology, Albert Einstein College of Medicine, New York, USA
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
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18
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El Khoudary SR, Chen X, Qi M, Derby CA, Brooks MM, Thurston RC, Janssen I, Crawford S, Lee JS, Jackson EA, Chae CU, McConnell D, Matthews KA. The independent associations of anti-Müllerian hormone and estradiol levels over the menopause transition with lipids/lipoproteins: The Study of Women's health Across the Nation. J Clin Lipidol 2023; 17:157-167. [PMID: 36517413 PMCID: PMC9974763 DOI: 10.1016/j.jacl.2022.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND The menopause transition (MT) is linked to adverse changes in lipids/lipoproteins. However, the related contributions of anti-Müllerian hormone (AMH) and estradiol (E2) are not clear. OBJECTIVE To evaluate the independent associations of premenopausal AMH and E2 levels and their changes with lipids/lipoproteins levels [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein B (apoB) and apolipoprotein A-1 (apoA-1)] over the MT. METHODS SWAN participants who transitioned to menopause without exogenous hormone use, hysterectomy, or bilateral oophorectomy with data available on both exposure and outcomes when they were premenopausal until the 1st visit postmenopausal were studied. RESULTS The study included 1,440 women (baseline-age:mean±SD=47.4±2.6) with data available from up to 9 visits (1997-2013). Lower premenopausal levels and greater declines in AMH were independently associated with greater TC and HDL-C, whereas lower premenopausal levels and greater declines in E2 were independently associated with greater TG and apo B and lower HDL-C. Greater declines in AMH were independently associated with greater apoA-1, and greater declines in E2 were independently associated with greater TC and LDL-C. CONCLUSIONS AMH and E2 and their changes over the MT relate differently to lipids/lipoproteins profile in women during midlife. Lower premenopausal and/or greater declines in E2 over the MT were associated with an atherogenic lipid/lipoprotein profile. On the other hand, lower premenopausal AMH and/or greater declines in AMH over the MT were linked to higher apo A-1 and HDL-C; the later found previously to be related to a greater atherosclerotic risk after menopause.
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Affiliation(s)
- Samar R El Khoudary
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States.
| | - Xirun Chen
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States
| | - Meiyuzhen Qi
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States
| | - Carol A Derby
- Albert Einstein College of Medicine Department of Neurology and Department of Epidemiology & Public Health, Bronx, NY, United States
| | - Maria M Brooks
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States
| | - Rebecca C Thurston
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Rush Medical Center, Chicago, IL, United States
| | - Sybil Crawford
- University of Massachusetts Tan Chingfen Graduate School of Nursing at UMass Chan Medical School, Worcester, MA, United States
| | - Jennifer S Lee
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Elizabeth A Jackson
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, United States
| | - Claudia U Chae
- Massachusetts General Hospital, Boston, MA, United States
| | - Daniel McConnell
- University of Michigan Department of Epidemiology, Ann Arbor, MI, United States
| | - Karen A Matthews
- Department of Epidemiology, Epidemiology Data Center, University of Pittsburgh Graduate School of Public Health, Clinical and Translational Science Institute, 4420 Bayard Street, Suite 600, Pittsburgh, PA 15260, United States; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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19
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Hyun J, Qin J, Katz MJ, Derby CA, Wang C, Sliwinski MJ, Lipton RB. Perceived neighborhood safety and aesthetic quality are associated with cognitive change over time. Alzheimers Dement 2022. [DOI: 10.1002/alz.068635] [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: 12/24/2022]
Affiliation(s)
- Jinshil Hyun
- Albert Einstein College of Medicine Bronx NY USA
| | - Jiyue Qin
- Albert Einstein College of Medicine Bronx NY USA
| | | | | | - Cuiling Wang
- Albert Einstein College of Medicine Bronx NY USA
| | | | - Richard B. Lipton
- Albert Einstein College of Medicine Bronx NY USA
- Montefiore Medical Center Bronx NY USA
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20
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Hoogendoorn CJ, Qin J, Wang C, Roque N, Laurenceau JP, Katz MJ, Derby CA, Lipton RB, Gonzalez JS. Depressive symptoms mediate the relationship between diabetes and cognitive performance in a community-based sample of older adults. J Diabetes Complications 2022; 36:108183. [PMID: 35718600 DOI: 10.1016/j.jdiacomp.2022.108183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 01/03/2022] [Revised: 03/11/2022] [Accepted: 03/18/2022] [Indexed: 02/07/2023]
Abstract
AIMS To evaluate whether diabetes and prediabetes are associated with impaired cognitive performance among older adults and examine depressive symptoms as a mediator. METHODS We used cross-sectional data from the Einstein Aging Study, a systematically recruited, community-based cohort study of diverse older adults (N = 794; Age Mean (SD) = 78.9 (5.3); 64.4% Non-Hispanic White, 28.7% Non-Hispanic Black, 5.7% Hispanic). Diabetes status was established via self-reported diagnosis, prescribed medications, and fasting blood glucose. Depressive symptoms were assessed using the Geriatric Depression Scale. Cognitive tests included Digit Symbol, Trails-B, Free Recall, Category Fluency, Boston Naming, and Block Design. Linear regression and mediation analyses were applied. RESULTS Compared to those without diabetes, diabetes was associated with worse performance on all cognitive tests (ps < 0.05), except Trails-B (p = 0.53), and increased depressive symptoms (p < 0.01). For diabetes, mediation via increased depressive symptoms was observed for Free Recall (p = 0.044), Category Fluency (p = 0.033), and Boston Naming (p = 0.048). CONCLUSIONS Diabetes was consistently associated with worse cognitive performance and increased depressive symptoms among this older cohort, while prediabetes was not. Mediation findings suggest depressive symptoms may be a biobehavioral pathway linking diabetes and cognition, though the temporal sequence is unclear. If causal, addressing both diabetes and depressive symptoms among older adults may protect cognitive function.
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Affiliation(s)
| | - Jiyue Qin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nelson Roque
- Department of Psychology, University of Central Florida, Orlando, FL, USA
| | - Jean-Philippe Laurenceau
- Department of Psychological & Brain Sciences, University of Delaware, Newark, DE, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA; Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jeffrey S Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA
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21
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Liang C, Chung HF, Dobson AJ, Hayashi K, van der Schouw YT, Kuh D, Hardy R, Derby CA, El Khoudary SR, Janssen I, Sandin S, Weiderpass E, Mishra GD. Infertility, recurrent pregnancy loss, and risk of stroke: pooled analysis of individual patient data of 618 851 women. BMJ 2022; 377:e070603. [PMID: 35732311 PMCID: PMC9214882 DOI: 10.1136/bmj-2022-070603] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To examine the associations of infertility, recurrent miscarriage, and stillbirth with the risk of first non-fatal and fatal stroke, further stratified by stroke subtypes. DESIGN Individual participant pooled analysis of eight prospective cohort studies. SETTING Cohort studies across seven countries (Australia, China, Japan, Netherlands, Sweden, the United Kingdom, and the United States) participating in the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium, which was established in June 2012. PARTICIPANTS 618 851 women aged 32.0-73.0 years at baseline with data on infertility, miscarriage, or stillbirth, at least one outcome event (non-fatal or fatal stroke), and information on covariates were included; 93 119 women were excluded. Of the participants, 275 863 had data on non-fatal and fatal stroke, 54 716 only had data on non-fatal stroke, and 288 272 only had data on fatal stroke. MAIN OUTCOME AND MEASURES Non-fatal strokes were identified through self-reported questionnaires, linked hospital data, or national patient registers. Fatal strokes were identified through death registry data. RESULTS The median follow-up for non-fatal stroke and fatal stroke was 13.0 years (interquartile range 12.0-14.0) and 9.4 years (7.6-13.0), respectively. A first non-fatal stroke was experienced by 9265 (2.8%) women and 4003 (0.7%) experienced a fatal stroke. Hazard ratios for non-fatal or fatal stroke were stratified by hypertension and adjusted for race or ethnicity, body mass index, smoking status, education level, and study. Infertility was associated with an increased risk of non-fatal stroke (hazard ratio 1.14, 95% confidence interval 1.08 to 1.20). Recurrent miscarriage (at least three) was associated with higher risk of non-fatal and fatal stroke (1.35, 1.27 to 1.44, and 1.82, 1.58 to 2.10, respectively). Women with stillbirth were at 31% higher risk of non-fatal stroke (1.31, 1.10 to 1.57) and women with recurrent stillbirth were at 26% higher risk of fatal stroke (1.26, 1.15 to 1.39). The increased risk of stroke (non-fatal or fatal) associated with infertility or recurrent stillbirths was mainly driven by a single stroke subtype (non-fatal ischaemic stroke and fatal haemorrhagic stroke), while the increased risk of stroke (non-fatal or fatal) associated with recurrent miscarriages was driven by both subtypes. CONCLUSION A history of recurrent miscarriages and death or loss of a baby before or during birth could be considered a female specific risk factor for stroke, with differences in risk according to stroke subtypes. These findings could contribute to improved monitoring and stroke prevention for women with such a history.
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Affiliation(s)
- Chen Liang
- University of Queensland, School of Public Health, Queensland, Australia
| | - Hsin-Fang Chung
- University of Queensland, School of Public Health, Queensland, Australia
| | - Annette J Dobson
- University of Queensland, School of Public Health, Queensland, Australia
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Samar R El Khoudary
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Gita D Mishra
- University of Queensland, School of Public Health, Queensland, Australia
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22
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Pavlović JM, Derby CA. Pain in midlife women: a growing problem in need of further research. Womens Midlife Health 2022; 8:4. [PMID: 35509086 PMCID: PMC9068256 DOI: 10.1186/s40695-022-00074-x] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/01/2022] [Indexed: 11/10/2022] Open
Abstract
More than 10% of American adults experience some level of daily pain, and nearly 40 million (17.6%) experience episodes of severe pain annually. Women are particularly impacted by both episodic and chronic pain with higher prevalence and a greater level of pain-related disability compared to men. Midlife is a critical period for women during which the frequency of pain complaints begins to increase. Although pain is known to be influenced and controlled by sex hormones, it has not been widely recognized as a symptom of the menopausal transition outside of the menopause research community. The recent thematic series in this journal has specifically highlighted pain related conditions including rheumatoid arthritis, migraine and abdominal pain for which the significance among midlife women is not typically recognized. The studies presented in this thematic series present a small fraction of relevant, understudied questions regarding pain and its impact on women in midlife. Addressing the gaps in knowledge will require longitudinal studies that consider the emergence of pain symptomatology in relation to midlife trajectories of other symptoms and health determinants, as well as further study of new and emerging therapies.
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Affiliation(s)
- Jelena M Pavlović
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA. .,Montefiore Headache Center, Montefiore Medical Center, Bronx, NY, USA.
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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23
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Thurston RC, Jakubowski KP, Wu M, Aizenstein HJ, Chang Y, Derby CA, Koenen KC, Barinas-Mitchell E, Maki PM. Sexual assault and white matter hyperintensities among midlife women. Brain Imaging Behav 2022; 16:773-780. [PMID: 34553332 PMCID: PMC8940746 DOI: 10.1007/s11682-021-00536-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2021] [Indexed: 01/09/2023]
Abstract
Traumatic experiences have been linked to poor mental and physical health. However, there has been little examination of their relationship to neuroimaging markers of cerebrovascular risk. White matter hyperintensities (WMHs) are markers of brain small vessel disease. WMHs can be detected decades before the onset of dementia and other disorders and can serve as early markers for these brain disorders. We tested whether traumatic experiences were associated with brain WMH volume among midlife women. In the MsBrain study, 145 women (mean age = 59 years) without cardiovascular disease, stroke, or dementia were recruited. Women completed questionnaires [trauma checklist, depression, post-traumatic stress measures]; physical measures [body mass index (BMI), blood pressure (BP)]; phlebotomy; actigraphy sleep measurement, and 3 Tesla magnetic resonance brain imaging for WMHs. Cross-sectional associations between traumatic experiences and WMH volume were assessed in linear regression models. Covariates were age, race/ethnicity, education, BMI, BP, lipids, preeclampsia, sleep, and additionally depressive and post-traumatic stress disorder symptoms. 68% of women endorsed at least one of the traumas assessed. The most common trauma was sexual assault (23% of women). Women with trauma exposure had greater WMH volume than women without trauma [B(SE) = .24 (.09), p = .01, multivariable]. The single trauma most associated with WMH was sexual assault [B(SE) = .25 (.11), p = .02, multivariable]. Results persisted adjusting for depressive or post-traumatic stress symptoms. A trauma history, particularly sexual assault, was associated with greater WMH volume controlling for covariates, including depressive and post-traumatic symptoms. Sexual assault may place women at risk for poor brain health.
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Affiliation(s)
- Rebecca C Thurston
- Department of Psychiatry, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA.
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Karen P Jakubowski
- Department of Psychiatry, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Minjie Wu
- Department of Psychiatry, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Howard J Aizenstein
- Department of Psychiatry, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Yuefang Chang
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Pauline M Maki
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
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24
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Cerino ES, Katz MJ, Wang C, Qin J, Gao Q, Hyun J, Hakun JG, Roque NA, Derby CA, Lipton RB, Sliwinski MJ. Variability in Cognitive Performance on Mobile Devices Is Sensitive to Mild Cognitive Impairment: Results From the Einstein Aging Study. Front Digit Health 2021; 3:758031. [PMID: 34927132 PMCID: PMC8677835 DOI: 10.3389/fdgth.2021.758031] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/08/2021] [Indexed: 11/19/2022] Open
Abstract
Background and Objective: Within-person variability in cognitive performance has emerged as a promising indicator of cognitive health with potential to distinguish normative and pathological cognitive aging. We use a smartphone-based digital health approach with ecological momentary assessments (EMA) to examine differences in variability in performance among older adults with mild cognitive impairment (MCI) and those who were cognitively unimpaired (CU). Method: A sample of 311 systematically recruited, community-dwelling older adults from the Einstein Aging Study (Mean age = 77.46 years, SD = 4.86, Range = 70-90; 67% Female; 45% Non-Hispanic White, 40% Non-Hispanic Black) completed neuropsychological testing, neurological assessments, and self-reported questionnaires. One hundred individuals met Jak/Bondi criteria for MCI. All participants performed mobile cognitive tests of processing speed, visual short-term memory binding, and spatial working memory on a smartphone device up to six times daily for 16 days, yielding up to 96 assessments per person. We employed heterogeneous variance multilevel models using log-linear prediction of residual variance to simultaneously assess cognitive status differences in mean performance, within-day variability, and day-to-day variability. We further tested whether these differences were robust to the influence of environmental contexts under which assessments were performed. Results: Individuals with MCI exhibited greater within-day variability than those who were CU on ambulatory assessments that measure processing speed (p < 0.001) and visual short-term memory binding (p < 0.001) performance but not spatial working memory. Cognitive status differences in day-to-day variability were present only for the measure of processing speed. Associations between cognitive status and within-day variability in performance were robust to adjustment for sociodemographic and contextual variables. Conclusion: Our smartphone-based digital health approach facilitates the ambulatory assessment of cognitive performance in older adults and the capacity to differentiate individuals with MCI from those who were CU. Results suggest variability in mobile cognitive performance is sensitive to MCI and exhibits dissociative patterns by timescale and cognitive domain. Variability in processing speed and visual short-term memory binding performance may provide specific detection of MCI. The 16-day smartphone-based EMA measurement burst offers novel opportunity to leverage digital technology to measure performance variability across frequent assessments for studying cognitive health and identifying early clinical manifestations of cognitive impairment.
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Affiliation(s)
- Eric S. Cerino
- Department of Psychological Sciences, College of Social and Behavioral Sciences, Northern Arizona University, Flagstaff, AZ, United States
- Center for Healthy Aging, College of Health and Human Development, Pennsylvania State University, University Park, PA, United States
| | - Mindy J. Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Cuiling Wang
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jiyue Qin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Qi Gao
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jinshil Hyun
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jonathan G. Hakun
- Center for Healthy Aging, College of Health and Human Development, Pennsylvania State University, University Park, PA, United States
- Department of Neurology, College of Medicine, Pennsylvania State University, Hershey, PA, United States
| | - Nelson A. Roque
- Department of Psychology, University of Central Florida, Orlando, FL, United States
| | - Carol A. Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Martin J. Sliwinski
- Center for Healthy Aging, College of Health and Human Development, Pennsylvania State University, University Park, PA, United States
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25
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Nester CO, Mogle J, Katz MJ, Wang C, Lipton RB, Derby CA, Rabin L. Aging research in the time of COVID‐19: A telephone screen for subjective cognitive concerns in community‐dwelling ethnically diverse older adults. Alzheimers Dement 2021. [PMCID: PMC9011725 DOI: 10.1002/alz.056403] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background There is an urgent need for validation of remotely‐administered cognitive screens to identify older adults at risk for dementia, to monitor disease progression, and to facilitate follow‐up when in‐person visits are not feasible. Restrictions on in‐person cognitive assessments due to COVID‐19 have spurred a growing literature on telephone‐based cognitive screening. However, few studies have evaluated the value of telephone‐administered screens of subjective cognitive concerns (SCC), an important early marker of dementia‐risk. Method Einstein Aging Study participants (subsample, n=455; Mage=77.0; Myears education=15.0; 64.1% women; 46.4% White) completed the Telephone Screen for Subjective Cognitive Concerns (T‐SSCC), a 16‐item measure of self‐reported memory, language, executive functioning, visuospatial/navigation, concentration, calculation, and mental clarity concerns, as well as the Telephone Montreal Cognitive Assessment (T‐MoCA). In‐person assessments included the paper‐and‐pencil Cognitive Change Index (CCI) and comprehensive neuropsychological evaluation. Classification as cognitively normal (CN; n=288) or mild cognitive impairment (MCI; n=153) was based on Jak/Bondi criteria. Primary analyses included correlations between the objective and subjective screening instruments, and logistic regression to evaluate the association between the T‐SSCC and MCI status. Result Total endorsement of concerns on the T‐SSCC (OR 1.095, CI 1.018‐1.178, p=0.015) was significantly associated with MCI status. In particular, endorsement of “Do any of these problems interfere with your daily life?” was strongly related to MCI (OR 2.296, CI 1.284‐4.108, p=0.005). The T‐SSCC was moderately correlated with the in‐person CCI (r[114]=0.577, p<0.001). A small but significant relationship was observed between the T‐SSCC and T‐MoCA (r[258]=‐0.206, p<0.001). Conclusion To our knowledge, this is the first study to validate a telephone SCC screen in response to the crucial need for such remotely administered measures. The T‐SSCC was significantly associated MCI status; furthermore, specific items related to the impact of cognitive problems in daily life were particularly sensitive to MCI. Such SCC measures are brief, accessible, and well‐tolerated and may provide additionally valuable information that enhances remotely‐administered cognitive screens.
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Affiliation(s)
- Caroline O. Nester
- The Graduate Center and Queens College, City University of New York New York City NY USA
| | | | | | - Cuiling Wang
- Albert Einstein College of Medicine Bronx NY USA
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26
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Wang C, Katz MJ, Chang KH, Derby CA, Lipton RB, Rabin L. Comparison of UDSNB 3.0 normative data with those developed in a diverse community cohort of older adults: Results from the Einstein Aging Study. Alzheimers Dement 2021. [DOI: 10.1002/alz.055758] [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: 11/08/2022]
Affiliation(s)
- Cuiling Wang
- Albert Einstein College of Medicine Bronx NY USA
| | | | - Katherine H Chang
- The Graduate Center, CUNY Manhattan NY USA
- Queens College, CUNY Flushing NY USA
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27
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Hyun J, Qin J, Wang C, Katz MJ, Pavlovic JM, Derby CA, Lipton RB. Reliabilities of Intra-Individual Mean and Intra-Individual Variability of Self-Reported Pain Derived From Ecological Momentary Assessments: Results From the Einstein Aging Study. J Pain 2021; 23:616-624. [PMID: 34780992 DOI: 10.1016/j.jpain.2021.10.008] [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] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 09/26/2021] [Accepted: 10/14/2021] [Indexed: 10/19/2022]
Abstract
An individual's pain experiences vary substantially over time. Though variability in pain may be an important metric which usually predicts health consequences, research on the measurement of pain variability estimates is lacking among older adults. We aimed to examine the reliabilities of both intra-individual mean (IIM) and intra-individual variability (IIV) of pain assessed using ecological momentary assessments (EMA) among racially diverse, systematically recruited community dwelling cohort of older adults. Participants (N = 311, age = 70-91) completed a 14-day EMA protocol which included self-reports of pain intensity, pain interference with activities, and pain interference with concentration multiple times a day. Over a 2-week period, we found excellent reliabilities for both pain IIM (.99), and pain IIV (≥.90). We also found that we need 5 to 6 days to achieve good reliability (.8) for pain IIV, suggesting that a shorter protocol may be used to reduce participants' burden among the current sample, although caution is required when using this result to determine EMA study designs among different samples. Future studies are required to examine the associations of various EMA pain metrics with different health outcomes among older adults to facilitate the detection of underlying mechanisms linking pain to health as a prelude to interventions. PERSPECTIVE: Mean levels and variability in pain intensity, pain interference with activities, and pain interference with concentration can be reliably measured to be linked with various health outcomes in older adults. Future studies including these pain metrics will assess the natural history, the consequences, and effects of intervention of pain.
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Affiliation(s)
- Jinshil Hyun
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York.
| | - Jiyue Qin
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Cuiling Wang
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Jelena M Pavlovic
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York; Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
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Hyun J, Hall CB, Katz MJ, Derby CA, Lipnicki DM, Crawford JD, Guaita A, Vaccaro R, Davin A, Kim KW, Han JW, Bae JB, Röhr S, Riedel-Heller S, Ganguli M, Jacobsen E, Hughes TF, Brodaty H, Kochan NA, Trollor J, Lobo A, Santabarbara J, Lopez-Anton R, Sachdev PS, Lipton RB. Education, Occupational Complexity, and Incident Dementia: A COSMIC Collaborative Cohort Study. J Alzheimers Dis 2021; 85:179-196. [PMID: 34776437 DOI: 10.3233/jad-210627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 01/21/2023]
Abstract
BACKGROUND Education and occupational complexity are main sources of mental engagement during early life and adulthood respectively, but research findings are not conclusive regarding protective effects of these factors against late-life dementia. OBJECTIVE This project aimed to examine the unique contributions of education and occupational complexity to incident dementia, and to assess the mediating effects of occupational complexity on the association between education and dementia across diverse cohorts. METHOD We used data from 10,195 participants (median baseline age = 74.1, range = 58∼103), representing 9 international datasets from 6 countries over 4 continents. Using a coordinated analysis approach, the accelerated failure time model was applied to each dataset, followed by meta-analysis. In addition, causal mediation analyses were performed. RESULT The meta-analytic results indicated that both education and occupational complexity were independently associated with increased dementia-free survival time, with 28%of the effect of education mediated by occupational complexity. There was evidence of threshold effects for education, with increased dementia-free survival time associated with 'high school completion' or 'above high school' compared to 'middle school completion or below'. CONCLUSION Using datasets from a wide range of geographical regions, we found that both early life education and adulthood occupational complexity were independently predictive of dementia. Education and occupational experiences occur during early life and adulthood respectively, and dementia prevention efforts could thus be made at different stages of the life course.
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Affiliation(s)
- Jinshil Hyun
- Saul R. Korey Department of Neurology, AlbertEinstein College of Medicine, Bronx, NY, USA
| | - Charles B Hall
- Saul R. Korey Department of Neurology, AlbertEinstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, AlbertEinstein College of Medicine, Bronx, NY, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, AlbertEinstein College of Medicine, Bronx, NY, USA
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia
| | | | | | | | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul NationalUniversity Bundang Hospital, Seongnam, South Korea
| | - Ji Won Han
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea
| | - Jong Bin Bae
- Department of Brain & Cognitive Sciences, SeoulNational University, Seoul, South Korea
| | - Susanne Röhr
- Instituteof Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany.,GlobalBrain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Steffi Riedel-Heller
- Instituteof Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | | | | | | | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia.,Dementia Collaborative Research Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia.,Department of Developmental DisabilityNeuropsychiatry, School of Psychiatry, University of New SouthWales, Sydney, New South Wales, Australia
| | - Antonio Lobo
- Instituto de Investigación SanitariaAragón, Zaragoza, Spain.,Centro deInvestigación Biomédica en Red de Salud Mental, Ministry ofScience and Innovation, Spain.,Department ofMedicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
| | - Javier Santabarbara
- Instituto de Investigación SanitariaAragón, Zaragoza, Spain.,Centro deInvestigación Biomédica en Red de Salud Mental, Ministry ofScience and Innovation, Spain.,Department of Preventive Medicine and PublicHealth, University of Zaragoza, Zaragoza, Spain
| | - Raul Lopez-Anton
- Instituto de Investigación SanitariaAragón, Zaragoza, Spain.,Centro deInvestigación Biomédica en Red de Salud Mental, Ministry ofScience and Innovation, Spain.,Department of Psychology and Sociology, Universidad de Zaragoza, Teruel, Spain
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of NewSouth Wales, Sydney, New South Wales, Australia.,Dementia Collaborative Research Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, AlbertEinstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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29
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El Khoudary SR, Qi M, Chen X, Matthews K, Allshouse AA, Crawford SL, Derby CA, Thurston RC, Kazlauskaite R, Barinas-Mitchell E, Santoro N. Patterns of menstrual cycle length over the menopause transition are associated with subclinical atherosclerosis after menopause. Menopause 2021; 29:8-15. [PMID: 34636354 PMCID: PMC9178927 DOI: 10.1097/gme.0000000000001876] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Longer menstrual cycles have been associated with greater risk of cardiovascular disease, supporting a contribution of abnormal ovarian function. We aimed to characterize trajectories of menstrual cycle length over the menopause transition (MT) and test whether these trajectories are associated with postmenopausal markers of subclinical atherosclerosis. METHODS Women from the Study of Women's Health Across the Nation Daily Hormone Study were included if they had an observed date of the final menstrual period (FMP), recorded cycle lengths from ≥2 annual menstrual cycles (mean±SD: 4.22 ± 1.91 cycles), and had measurements of postmenopausal carotid intima-media thickness (cIMT) and/or brachial-ankle pulse wave velocity (baPWV). Trajectories of cycle length over the MT were identified using group-based trajectory modeling and linked with cIMT and baPWV using linear regression. RESULTS We studied 428 women who had 1,808 cycles over the MT (45.1 ± 2.3 y old at baseline visit), and of whom 263 had cIMT, and 213 had baPWV measured postmenopausally (after 13.88 ± 0.42 and 15.25 ± 0.70 y since baseline visit, respectively). Three distinct trajectories of cycle length were identified: stable (no changes in cycle length over the MT among 62.1% of women), late increase (a late increase 2 y before the FMP among 21.8%), and early-increase (an early increase 5 y before the FMP among 16.2%). Women with the late-increase pattern had significantly lower postmenopausal cIMT (0.72 mm) and baPWV (1392 cm/s) levels than the stable group (0.77 mm and 1508 cm/s, respectively) adjusting for race, concurrent age, socioeconomic status, physical activity level, and premenopausal cardiovascular risk profile. CONCLUSIONS Patterns of cycle length over the MT seem to be a marker of future vascular health that may help identify groups at greater or lesser risk of atherosclerosis after menopause.
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Affiliation(s)
| | - Meiyuzhen Qi
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Xirun Chen
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Karen Matthews
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
- University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | | | | | - Rebecca C. Thurston
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
- University of Pittsburgh School of Medicine, Pittsburgh, PA
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30
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Matthews KA, Chen X, Barinas‐Mitchell E, Brooks MM, Derby CA, Harlow S, Jackson EA, Thurston RC, El Khoudary SR. Age at Menopause in Relationship to Lipid Changes and Subclinical Carotid Disease Across 20 Years: Study of Women's Health Across the Nation. J Am Heart Assoc 2021; 10:e021362. [PMID: 34482713 PMCID: PMC8649503 DOI: 10.1161/jaha.121.021362] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Background Younger age at final menstrual period (FMP) is associated with increased risk for cardiovascular disease events. This paper evaluated whether older age at FMP is associated with more favorable patterns of lipid changes during the menopause transition and whether these changes are associated with less subclinical carotid disease in the postmenopausal years. Methods and Results Lipids and lipoproteins were measured repeatedly among 1554 premenopausal women who had a natural menopause during follow-up years (median=18.8 years); a subset of 890 women also had measures of carotid intima media thickness, adventitial diameter, and plaque. Women who had an older FMP age had less adverse changes in cholesterol from 1 to 3 years after FMP, and in triglycerides from FMP to 3 years after FMP, but they had more adverse changes in ApoB and Apo A1 from 3 years before to 1 year after the FMP. Increasing cholesterol and ApoB from 1 to 3 years after FMP were associated with greater intima media thickness and adventitial diameter, and the greater likelihood of a plaque score >2 the older the age at FMP. Conclusions Despite the epidemiological literature showing early age at FMP is associated with elevated risk for cardiovascular disease events, older age at FMP had inconsistent associations with less adverse lipid changes in midlife, which did not translate into less risk for subclinical carotid disease and in some cases more risk. These findings are restricted to women who experience FMP in the normative age range for the menopausal transition.
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Affiliation(s)
- Karen A. Matthews
- Department of PsychiatryUniversity of PittsburghPA,Department of EpidemiologyUniversity of PittsburghPA
| | - Xirun Chen
- Department of EpidemiologyUniversity of PittsburghPA
| | | | | | - Carol A. Derby
- Departments of Neurology, and of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | - Sioban Harlow
- Department of EpidemiologyUniversity of MichiganAnn ArborMI
| | - Elizabeth A. Jackson
- Division of Cardiovascular MedicineDepartment of Internal MedicineUniversity of AlabamaBirminghamAL
| | - Rebecca C. Thurston
- Department of PsychiatryUniversity of PittsburghPA,Department of EpidemiologyUniversity of PittsburghPA
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Peters-samuelson B, Lin J, Qi Q, Isasi CR, Mossavar-Rahmani Y, Derby CA, Santoro N, Perreira K, Daviglus ML, Kominiarek M, Burk R, Kaplan R. Abstract 029: Menopause Alters The Gut Microbiome In Hispanic/Latina Women Of The Hispanic Community Health Study/Study Of Latinos (HCHS/SOL), With Implications For Metabolic Syndrome. Circulation 2021. [DOI: 10.1161/circ.143.suppl_1.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
During menopause, women experience an increase in cardiometabolic risk factors, thought to relate to aging and loss of endogenous estrogen. Menopause may also influence the gut microbiome, which plays a role in cardiometabolic risk. However, the menopause-microbiome relationship has not been examined in a large study and implications for disease are unknown.
Hypothesis:
Menopause alters gut microbiome composition, which may affect post-menopausal disease risk.
Methods:
Menopause was defined by self report of 12 months of amenorrhea, not due to surgery or other non-natural causes. Shotgun sequencing was used on stool from 2370 participants (301 pre-menopausal women; 1072 post-menopausal women; 997 men). Between pre- and post-menopausal women and age-matched men, we compared microbiome diversity, composition, and taxa.
Results:
Pre-menopausal women had higher gut microbiome diversity than post-menopausal women and men (all p<0.05, Figure 1a). Post-menopausal women also differed in overall microbiome composition from pre-menopausal women (p=0.005), while older and younger men did not differ from each other (p=0.70) (Figure 1b). We identified differentially abundant taxa between post- and pre-menopausal women, including class Betaproteobacteria and its genus Sutterella (enriched in post-menopause), and genera Shigella and Escherichia (depleted in post-menopause); associations were similar in comparisons of men vs. women, though the taxa did not differ between older and younger men (Figure 1c). In post-menopausal women, higher abundance of Shigella and Escherichia was associated with impaired fasting glucose (≥100 mg/dL or diabetes treatment) (Figure 1d).
Conclusions:
Menopause is associated with a gut microbiome more similar to that of men, perhaps related to the common condition of a low estrogen state. In HCHS/SOL, menopause was associated with depletion of gut pathogens, which were related to increased diabetes risk. These findings require confirmation in other racial/ethnic groups.
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Affiliation(s)
| | - Juan Lin
- Albert Einstein College of Medicine, Bronx, NY
| | - Qibin Qi
- ALBERT EINSTEIN COLLEGE OF MEDICINE, Bronx, NY
| | | | | | | | | | | | | | | | - Robert Burk
- Albert Einstein College of Medicine, Bronx, NY
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Thurston RC, Wu M, Aizenstein HJ, Chang Y, Barinas Mitchell E, Derby CA, Maki PM. Sleep characteristics and white matter hyperintensities among midlife women. Sleep 2021; 43:5682717. [PMID: 31863110 DOI: 10.1093/sleep/zsz298] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 10/11/2019] [Revised: 11/26/2019] [Indexed: 01/08/2023] Open
Abstract
STUDY OBJECTIVES Sleep disturbance is common among midlife women. Poor self-reported sleep characteristics have been linked to cerebrovascular disease and dementia risk. However, little work has considered the relation of objectively assessed sleep characteristics and white matter hyperintensities (WMHs), a marker of small vessel disease in the brain. Among 122 midlife women, we tested whether women with short or disrupted sleep would have greater WMH, adjusting for cardiovascular disease (CVD) risk factors, estradiol, and physiologically assessed sleep hot flashes. METHODS We recruited 122 women (mean age = 58 years) without a history of stroke or dementia who underwent 72 h of actigraphy to quantify sleep, 24 h of physiologic monitoring to quantify hot flashes; magnetic resonance imaging to assess WMH; phlebotomy, questionnaires, and physical measures (blood pressure, height, and weight). Associations between actigraphy-assessed sleep (wake after sleep onset and total sleep time) and WMH were tested in linear regression models. Covariates included demographics, CVD risk factors (blood pressure, lipids, and diabetes), estradiol, mood, and sleep hot flashes. RESULTS Greater actigraphy-assessed waking after sleep onset was associated with more WMH [B(SE) = .008 (.002), p = 0.002], adjusting for demographics, CVD risk factors, and sleep hot flashes. Findings persisted adjusting for estradiol and mood. Neither total sleep time nor subjective sleep quality was related to WMH. CONCLUSIONS Greater actigraphy-assessed waking after sleep onset but not subjective sleep was related to greater brain WMH among midlife women. Poor sleep may be associated with brain small vessel disease at midlife, which can increase the risk for brain disorders.
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Affiliation(s)
- Rebecca C Thurston
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.,Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.,Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Minjie Wu
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Howard J Aizenstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Yuefang Chang
- Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Emma Barinas Mitchell
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Carol A Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY
| | - Pauline M Maki
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL
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Everson‐Rose SA, Barinas‐Mitchell EJM, El Khoudary SR, Huang H, Wang Q, Janssen I, Thurston RC, Jackson EA, Lewis ME, Karvonen‐Gutierrez C, Mancuso P, Derby CA. Adipokines and Subclinical Cardiovascular Disease in Post-Menopausal Women: Study of Women's Health Across the Nation. J Am Heart Assoc 2021; 10:e019173. [PMID: 33779242 PMCID: PMC8174324 DOI: 10.1161/jaha.120.019173] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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] [Indexed: 12/14/2022]
Abstract
Background The menopausal transition is characterized by increased cardiovascular risk, weight gain, and increased adiposity for many women. The adipose-derived secretory proteins adiponectin and leptin are associated with insulin resistance, metabolic syndrome, and cardiovascular disease but their role in subclinical atherosclerotic disease is unclear. This cross-sectional study evaluated the associations of adiponectin and leptin with carotid artery intima-media thickness, adventitial diameter, presence of carotid plaques, and brachial-ankle pulse wave velocity (baPWV) in women aged 54 to 65 years. Methods and Results Participants were 1399 women from SWAN (Study of Women's Health Across the Nation), a community-based study of women transitioning through menopause. Carotid ultrasound and baPWV measures were obtained at SWAN follow-up visits 12 or 13, when 97% of participants were post-menopausal. Adipokines were assayed from serum specimens obtained concurrently at these visits. Linear and logistic regression models were used to evaluate adiponectin or leptin, both log-transformed attributable to skewness, in relationship to carotid artery intima-media thickness, adventitial diameter, baPWV, and presence of carotid plaque. Covariates included age, race, study site, smoking, alcohol use, obesity, cardiovascular disease risk factors, and menopausal status. Lower levels of adiponectin were related to greater carotid artery intima-media thickness, wider adventitial diameter, and faster baPWV; associations were attenuated after adjusting for cardiovascular disease risk factors. Higher levels of leptin were associated with greater carotid artery intima-media thickness and wider adventitial diameter in minimally and fully adjusted models, and contrary to expectation, with slower baPWV, particularly among women with diabetes mellitus or obesity. Conclusions Adiponectin and leptin are 2 important inflammatory pathways that may contribute to adverse subclinical cardiovascular disease risk profiles in women at midlife.
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Affiliation(s)
| | | | | | | | - Qi Wang
- University of MinnesotaMinneapolisMN
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Derby CA, Hutchins F, Greendale GA, Matthews KA, Sternfeld B, Everson-Rose SA, Kazlauskaite R, Whitmer RA, Brooks MM. Cardiovascular risk and midlife cognitive decline in the Study of Women's Health Across the Nation. Alzheimers Dement 2021; 17:1342-1352. [PMID: 33710770 DOI: 10.1002/alz.12300] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 09/16/2020] [Revised: 12/01/2020] [Accepted: 01/02/2021] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Cardiovascular risk factors in midlife have been linked to late life risk for Alzheimer's disease and related dementias (ADRD). The relation of vascular risk factors on cognitive decline within midlife has been less studied. METHODS Using data from the Study of Women's Health Across the Nation, we examined associations of midlife hypertension, elevated lipid levels, diabetes, fasting glucose, central adiposity, and Framingham heart age with rates of cognitive decline in women who completed multiple cognitive assessments of processing speed, and working and verbal memory during midlife. RESULTS Diabetes, elevated fasting glucose, central obesity, and heart age greater than chronological age were associated with rate of decline in processing speed during midlife. Vascular risk factors were not related to rate of decline in working or verbal memory. DISCUSSION Midlife may be a critical period for intervening on cardiovascular risk factors to prevent or delay later life cognitive impairment and ADRD.
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Affiliation(s)
- Carol A Derby
- Saul R. Korey Department of Neurology, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Franya Hutchins
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Gail A Greendale
- Division of Geriatrics, University of California at Los Angeles, Los Angeles, California, USA
| | - Karen A Matthews
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Susan A Everson-Rose
- Department of Medicine and Program in Health Disparities Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Rasa Kazlauskaite
- Division of Endocrinology and Metabolism, Rush University Medical Center, Chicago, Illinois, USA
| | - Rachel A Whitmer
- Division of Epidemiology, Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, California, USA
| | - Maria M Brooks
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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McConnell DS, Crawford SL, Gee NA, Bromberger JT, Kazlauskaite R, Avis NE, Crandall CJ, Joffe H, Kravitz HM, Derby CA, Gold EB, El Khoudary SR, Harlow S, Greendale GA, Lasley BL. Lowered progesterone metabolite excretion and a variable LH excretion pattern are associated with vasomotor symptoms but not negative mood in the early perimenopausal transition: Study of Women's Health Across the Nation. Maturitas 2021; 147:26-33. [PMID: 33832644 DOI: 10.1016/j.maturitas.2021.03.003] [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: 08/05/2020] [Revised: 12/02/2020] [Accepted: 03/02/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVE The menopausal transition is characterized by progressive changes in ovarian function and increasing circulating levels of gonadotropins, with some women having irregular menstrual cycles well before their final menstrual period. These observations indicate a progressive breakdown of the hypothalamic-pituitary-ovarian axis often associated with an increase in menopausal symptoms. Relationships between vasomotor symptoms (VMS) and depressed mood and sleep as well as a bidirectional association between VMS and depressed mood in mid-life women have been reported, but the endocrine foundations and hormone profiles associated with these symptoms have not been well described. Our objective was to determine the relationship between daily urinary hormone profiles and daily logs of affect and VMS during the early perimenopausal transition. STUDY DESIGN SWAN, the Study of Women's Health Across the Nation, is a large, mutli-ethnic, multisite cohort study of 3302 women aged 42-52 at baseline, designed to examine predictors of health and disease in women as they traversed the menopause. Inclusion criteria were: an intact uterus and at least one ovary present, at least one menstrual period in the previous three months, no use of sex steroid hormones in the previous three months, and not pregnant or lactating. A subset (n = 849) of women aged 43-53 years from all study sites in the first Daily Hormone Study collection were evaluated for this substudy. OUTCOME MEASURES We measured daily VMS, and urinary hormones: follicle stimulating hormone (FSH), luteinizing hormone (LH), pregnanediol glucuronide (PdG) and estradiol (estrone conjugate, E1C). RESULTS A variable pattern of LH and negative LH feedback were the hormone patterns most strongly associated with increased VMS. In contrast, no hormone pattern was significantly related to negative mood. CONCLUSION Fluctuations of LH associated with low progesterone production were associated with VMS but not negative mood, suggesting different endocrine patterns may be related to increased negative mood than to the occurrence of VMS.
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Affiliation(s)
- Daniel S McConnell
- Department of Epidemiology, School of Public Health, The University of Michigan, Ann Arbor, MI, United States.
| | - Sybil L Crawford
- Graduate School of Nursing, University of Massachusetts Medical School, Worcester, MA, United States
| | - Nancy A Gee
- Center for Health and the Environment, John Muir Institute of the Environment, University of California, Davis, CA, United States
| | - Joyce T Bromberger
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh PA, United States
| | | | - Nancy E Avis
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Carolyn J Crandall
- David Geffen School of Medicine at University of California, Department of Medicine, Los Angeles, CA, United States
| | - Hadine Joffe
- Mary Horrigan Connors Center for Women's Health and Gender Biology, Paula A. Johnson Associate Professor of Psychiatry in the Field of Women's Health, Harvard Medical School, Vice Chair for Research, Department of Psychiatry, Brigham and Women's Hospital, Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Dana Farber/Harvard Cancer Center Breast Cancer Program, Harvard Medical School, Boston, MA, United States
| | - Howard M Kravitz
- Department of Psychiatry, Rush University Medical Center, Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States
| | - Carol A Derby
- Albert Einstein College of Medicine, Saul R. Korey Department of Neurology, Department of Epidemiology and Population Health, Bronx, NY, United States
| | - Ellen B Gold
- Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, United States
| | - Samar R El Khoudary
- Epidemiology Data Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sioban Harlow
- Department of Epidemiology, School of Public Health, The University of Michigan, Ann Arbor, MI, United States
| | - Gail A Greendale
- Division of Geriatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Bill L Lasley
- Center for Health and the Environment, University of California Davis, Davis, CA, United States
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Katz MJ, Wang C, Nester CO, Derby CA, Zimmerman ME, Lipton RB, Sliwinski MJ, Rabin LA. T-MoCA: A valid phone screen for cognitive impairment in diverse community samples. Alzheimers Dement (Amst) 2021; 13:e12144. [PMID: 33598528 PMCID: PMC7864219 DOI: 10.1002/dad2.12144] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [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: 07/16/2020] [Revised: 10/23/2020] [Accepted: 12/02/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION There is an urgent need to validate telephone versions of widely used general cognitive measures, such as the Montreal Cognitive Assessment (T-MoCA), for remote assessments. METHODS In the Einstein Aging Study, a diverse community cohort (n = 428; mean age = 78.1; 66% female; 54% non-White), equivalence testing was used to examine concordance between the T-MoCA and the corresponding in-person MoCA assessment. Receiver operating characteristic analyses examined the diagnostic ability to discriminate between mild cognitive impairment and normal cognition. Conversion methods from T-MoCA to the MoCA are presented. RESULTS Education, race/ethnicity, gender, age, self-reported cognitive concerns, and telephone administration difficulties were associated with both modes of administration; however, when examining the difference between modalities, these factors were not significant. Sensitivity and specificity for the T-MoCA (using Youden's index optimal cut) were 72% and 59%, respectively. DISCUSSION The T-MoCA demonstrated sufficient psychometric properties to be useful for screening of MCI, especially when clinic visits are not feasible.
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Affiliation(s)
- Mindy J. Katz
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Cuiling Wang
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Caroline O. Nester
- Department of PsychologyBrooklyn CollegeCity University of New York (CUNY)BrooklynNew YorkUSA
| | - Carol A. Derby
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | | | - Richard B. Lipton
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Psychiatry and Behavioral MedicineAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Martin J. Sliwinski
- Department of Human Development & Family StudiesCenter for Healthy AgingThe Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA
| | - Laura A. Rabin
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of PsychologyBrooklyn CollegeCity University of New York (CUNY)BrooklynNew YorkUSA
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Thurston RC, Aslanidou Vlachos HE, Derby CA, Jackson EA, Brooks MM, Matthews KA, Harlow S, Joffe H, El Khoudary SR. Menopausal Vasomotor Symptoms and Risk of Incident Cardiovascular Disease Events in SWAN. J Am Heart Assoc 2021; 10:e017416. [PMID: 33470142 PMCID: PMC7955448 DOI: 10.1161/jaha.120.017416] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [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] [Indexed: 12/30/2022]
Abstract
Background Cardiovascular disease (CVD) in women has unique features, including associations with reproductive factors that are incompletely understood. Vasomotor symptoms (VMS), the classic menopausal symptom, are linked to CVD risk factors and subclinical CVD. Evidence linking VMS to CVD events is limited. We tested whether frequent and/or persistent VMS were associated with increased risk for fatal and nonfatal CVD events in SWAN (Study of Women’s Health Across the Nation). Methods and Results A total of 3083 women, aged 42 to 52 years at baseline, underwent up to 16 in‐person visits over 22 years. Assessments included questionnaires on VMS frequency (0, 1–5, or ≥6 days/2 weeks), physical measures, phlebotomy, and reported CVD events (myocardial infarction, stroke, heart failure, and revascularization). A subset of events was adjudicated via medical record. Death certificates were obtained. Relationships between baseline VMS or persistent VMS over the follow‐up (proportion of visits with frequent VMS) with combined incident nonfatal and fatal CVD were tested in Cox proportional hazards models adjusted for demographics, medication use, and CVD risk factors. Participants experienced 231 CVD events over the follow‐up. Women with frequent baseline VMS had an elevated risk of subsequent CVD events (relative to no VMS; ≥6 days: hazard ratio [HR] [95% CI], 1.51 [1.05–2.17], P=0.03; 1–5 days: HR [95% CI], 1.02 [0.75–1.39], P=0.89, multivariable). Women with frequent VMS that persisted over time also had an increased CVD event risk (>33% versus ≤33% of visits: HR [95% CI], 1.77 [1.33–2.35], P<0.0001, multivariable). Conclusions Frequent and persistent VMS were associated with increased risk of later CVD events. VMS may represent a novel female‐specific CVD risk factor.
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Affiliation(s)
- Rebecca C Thurston
- Department of Psychiatry University of Pittsburgh School of Medicine Pittsburgh PA.,Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | | | - Carol A Derby
- Saul R. Korey Department of Neurology Department of Epidemiology and Population Health Albert Einstein College of Medicine New York NY
| | - Elizabeth A Jackson
- Division of Cardiology Department of Medicine University of Alabama at Birmingham School of Medicine Birmingham AL
| | - Maria Mori Brooks
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | - Karen A Matthews
- Department of Psychiatry University of Pittsburgh School of Medicine Pittsburgh PA.,Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | - Sioban Harlow
- Department of Epidemiology Henry F. Vaughn School of Public Health University of Michigan Ann Arbor MI
| | - Hadine Joffe
- Department of Epidemiology Henry F. Vaughn School of Public Health University of Michigan Ann Arbor MI.,Department of Psychiatry Harvard Medical SchoolBrigham and Women's Hospital Boston MA
| | - Samar R El Khoudary
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
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Wang C, Katz MJ, Chang KH, Qin J, Lipton RB, Zwerling JL, Sliwinski MJ, Derby CA, Rabin LA. UDSNB 3.0 Neuropsychological Test Norms in Older Adults from a Diverse Community: Results from the Einstein Aging Study (EAS). J Alzheimers Dis 2021; 83:1665-1678. [PMID: 34420967 PMCID: PMC8805183 DOI: 10.3233/jad-210538] [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] [Indexed: 11/15/2022]
Abstract
BACKGROUND The Uniform Data Set, Version 3 Neuropsychological Battery (UDSNB3.0), from the database of the University of Washington's National Alzheimer's Coordinating Center (NACC), is widely used to characterize cognitive performance in clinical and research settings; however, norms for underrepresented community-based samples are scarce. OBJECTIVE We compared UDSNB 3.0 test scores between the Einstein Aging Study (EAS), composed of racially/ethnically diverse, community-dwelling older adults aged≥70 and the NACC, and report normative data from the EAS. METHODS Analyses included 225 cognitively normal EAS participants and comparable data from 5,031 NACC database participants. Linear regression models compared performance between the samples, adjusting for demographics (sex, age, education, race/ethnicity), depressive symptoms, and whether English was the first language. Linear regression models to examine demographic factors including age, sex, education and race/ethnicity as predictors for the neuropsychological tests were applied in EAS and NACC separately and were used to create a demographically adjusted z-score calculator. RESULTS Cognitive performance across all domains was worse in the EAS than in the NACC, adjusting for age, sex, education, race/ethnicity, and depression, and the differences remained in visuo-construction, visuospatial memory, confrontation naming, visual attention/processing speed, and executive functioning after further adjusting for whether English was the first language. In both samples, non-Hispanic Whites outperformed non-Hispanic Blacks and more education was associated with better cognitive performance. CONCLUSION Differences observed in demographic, clinical, and cognitive characteristics between the community-based EAS sample and the nationwide NACC sample suggest that separate normative data that more accurately reflect non-clinic, community-based populations should be established.
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Affiliation(s)
- Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J. Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Katherine H. Chang
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, USA
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, USA
| | - Jiyue Qin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B. Lipton
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jessica L. Zwerling
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Martin J. Sliwinski
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA, USA
| | - Carol A. Derby
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Laura A. Rabin
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, USA
- Department of Psychology, Brooklyn College, City University of New York (CUNY), Brooklyn, NY, USA
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Derby CA, Zhaoyang R, Jiao JL, Sliwinski MJ, Buxton OM. Within and between person effects of sleep quality on daily cognitive performance: Data from the Einstein Aging Study (EAS). Alzheimers Dement 2020. [DOI: 10.1002/alz.044565] [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: 11/10/2022]
Affiliation(s)
| | | | - June L Jiao
- The Pennsylvania State University University Park PA USA
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40
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Schroeder RA, Thurston RC, Wu M, Aizenstein HJ, Derby CA, Maki PM. Distinctive roles of estrone and estradiol in shaping verbal memory circuitry in postmenopausal women. Alzheimers Dement 2020. [DOI: 10.1002/alz.043110] [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: 11/09/2022]
Affiliation(s)
| | | | - Minjie Wu
- University of Pittsburgh School of Medicine Pittsburgh PA USA
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41
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Derby CA, Wang C, Katz MJ, Lipton RB, Buxton OM. Cumulative effects of sleep quality on risk for incident mild cognitive impairment (MCI): Results from the Einstein Aging Study (EAS) cohort. Alzheimers Dement 2020. [DOI: 10.1002/alz.044861] [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: 11/06/2022]
Affiliation(s)
| | - Cuiling Wang
- Albert Einstein College of Medicine New York NY USA
| | - Mindy J Katz
- Albert Einstein College of Medicine New York NY USA
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42
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Lipton RB, Wang C, Hyun J, Katz MJ, Derby CA, Pavlovic J. Variability in every day pain is associated with mild cognitive impairment (MCI): Results from the Einstein Aging Study (EAS). Alzheimers Dement 2020. [DOI: 10.1002/alz.045355] [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: 11/08/2022]
Affiliation(s)
| | - Cuiling Wang
- Albert Einstein College of Medicine New York NY USA
| | - Jinshil Hyun
- Albert Einstein College of Medicine New York NY USA
| | - Mindy J Katz
- Albert Einstein College of Medicine New York NY USA
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43
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Mishra SR, Chung HF, Waller M, Dobson AJ, Greenwood DC, Cade JE, Giles GG, Bruinsma F, Simonsen MK, Hardy R, Kuh D, Gold EB, Crawford SL, Derby CA, Matthews KA, Demakakos P, Lee JS, Mizunuma H, Hayashi K, Sievert LL, Brown DE, Sandin S, Weiderpass E, Mishra GD. Association Between Reproductive Life Span and Incident Nonfatal Cardiovascular Disease: A Pooled Analysis of Individual Patient Data From 12 Studies. JAMA Cardiol 2020; 5:1410-1418. [PMID: 32936210 PMCID: PMC7495334 DOI: 10.1001/jamacardio.2020.4105] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 06/09/2020] [Indexed: 12/22/2022]
Abstract
Importance Early menarche and early menopause are associated with increased risk of cardiovascular disease (CVD) in midlife, but little is known about the association between reproductive life span and the risk of CVD. Objective To investigate the association between the length of reproductive life span and risk of incident CVD events, while also considering the timing of menarche and menopause. Design, Setting, and Participants Individual-level data were pooled from 12 studies participating in the International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events consortium. Women provided complete information on the timing of menarche and menopause, nonfatal CVD events, and covariates. Cox proportional hazards models were used to estimate hazard ratios and 95% CIs, adjusted for covariates. The association between reproductive life span and CVD was adjusted for age at menarche and age at menopause separately. Analysis began March 2018 and ended December 2019. Exposures Reproductive life span was calculated by subtracting age at menarche from age at menopause and categorized as younger than 30, 30 to 32, 33 to 35, 36 to 38 (reference group), 39 to 41, 42 to 44, and 45 years or older. Main Outcomes and Measures First nonfatal CVD event, including coronary heart disease and stroke events. Results A total of 307 855 women were included. Overall, the mean (SD) ages at menarche, menopause, and reproductive life span were 13.0 (1.5) years, 50.2 (4.4) years, and 37.2 (4.6) years, respectively. Pooled analyses showed that women with a very short reproductive life span (<30 years) were at 1.71 (95% CI, 1.58-1.84) times higher risk of incident CVD events than women with a reproductive life span of 36 to 38 years after adjustment for covariates. This association remained unchanged when adjusted for age at menarche but was attenuated to 1.26 (95% CI, 1.09-1.46) when adjusted for age at menopause. There was a significant interaction between reproductive life span and age at menarche associated with CVD risk (P < .001). Women who had both short reproductive life span (<33 years) and early menarche (age ≤11 years) had the highest risk of CVD (hazard ratio, 2.06; 95% CI, 1.76-2.41) compared with those with a reproductive life span of 36 to 38 years and menarche at age 13 years. Conclusions and Relevance Short reproductive life span was associated with an increased risk of nonfatal CVD events in midlife, and the risk was significantly higher for women with early age at menarche.
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Affiliation(s)
- Shiva R. Mishra
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Hsin-Fang Chung
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Michael Waller
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Annette J. Dobson
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Darren C. Greenwood
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom
| | - Janet E. Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Fiona Bruinsma
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | | | - Rebecca Hardy
- CLOSER, UCL Institute of Education, London, United Kingdom
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Ellen B. Gold
- Department of Public Health Sciences, University of California, Davis, Davis
| | - Sybil L. Crawford
- Department of Medicine, University of Massachusetts Medical School, Worcester
| | - Carol A. Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Karen A. Matthews
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Panayotes Demakakos
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Jung Su Lee
- Department of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideki Mizunuma
- Fukushima Medical Center for Children and Women, Fukushima Medical University, Fukushima, Japan
| | - Kunihiko Hayashi
- School of Health Sciences, Gunma University, Maebashi City, Gunma, Japan
| | | | | | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Gita D. Mishra
- School of Public Health, The University of Queensland, Brisbane, Australia
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44
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Davis E, Malig B, Broadwin R, Ebisu K, Basu R, Gold EB, Qi L, Derby CA, Park SK, Wu XM. Association between coarse particulate matter and inflammatory and hemostatic markers in a cohort of midlife women. Environ Health 2020; 19:111. [PMID: 33153486 PMCID: PMC7643259 DOI: 10.1186/s12940-020-00663-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 10/12/2020] [Indexed: 05/09/2023]
Abstract
BACKGROUND Exposure to particulate matter air pollution has been associated with cardiovascular disease (CVD) morbidity and mortality; however, most studies have focused on fine particulate matter (PM2.5) exposure and CVD. Coarse particulate matter (PM10-2.5) exposure has not been extensively studied, particularly for long-term exposure, and the biological mechanisms remain uncertain. METHODS We examined the association between ambient concentrations of PM10-2.5 and inflammatory and hemostatic makers that have been linked to CVD. Annual questionnaire and clinical data were obtained from 1694 women (≥ 55 years old in 1999) enrolled in the longitudinal Study of Women's Health Across the Nation (SWAN) at six study sites from 1999 to 2004. Residential locations and the USEPA air monitoring network measurements were used to assign exposure to one-year PM10-2.5, as well as co-pollutants. Linear mixed-effects regression models were used to describe the association between PM10-2.5 exposure and markers, including demographic, health and other covariates. RESULTS Each interquartile (4 μg/m3) increase in one-year PM10-2.5 exposure was associated with a 5.5% (95% confidence interval [CI]: 1.8, 9.4%) increase in levels of plasminogen activator inhibitor-1 (PAI-1) and 4.1% (95% CI: - 0.1, 8.6%) increase in high-sensitivity C-creative Protein (hs-CRP). Stratified analyses suggested that the association with PAI-1 was particularly strong in some subgroups, including women who were peri-menopausal, were less educated, had a body mass index lower than 25, and reported low alcohol consumption. The association between PM10-2.5 and PAI-1 remained unchanged with adjustment for PM2.5, ozone, nitrogen dioxide, and carbon monoxide. CONCLUSIONS Long-term PM10-2.5 exposure may be associated with changes in coagulation independently from PM2.5, and thus, contribute to CVD risk in midlife women.
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Affiliation(s)
- Emilie Davis
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Brian Malig
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA
| | - Rachel Broadwin
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA
| | - Keita Ebisu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA
| | - Rupa Basu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA
| | - Ellen B Gold
- Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA
| | - Lihong Qi
- Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA
| | - Carol A Derby
- Department of Neurology, and of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sung Kyun Park
- Departments of Epidemiology and Environmental Health Sciences, School of of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Xiangmei May Wu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th Floor, Oakland, CA, 94612, USA.
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Yoneda T, Lewis NA, Knight JE, Rush J, Vendittelli R, Kleineidam L, Hyun J, Piccinin AM, Hofer SM, Hoogendijk EO, Derby CA, Scherer M, Riedel-Heller S, Wagner M, van den Hout A, Wang W, Bennett DA, Muniz-Terrera G. The Importance of Engaging in Physical Activity in Older Adulthood for Transitions Between Cognitive Status Categories and Death: A Coordinated Analysis of 14 Longitudinal Studies. J Gerontol A Biol Sci Med Sci 2020; 76:1661-1667. [PMID: 33099603 DOI: 10.1093/gerona/glaa268] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [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: 01/03/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Given increasing incidence of cognitive impairment and dementia, further understanding of modifiable factors contributing to increased healthspan is crucial. Extensive literature provides evidence that physical activity (PA) delays the onset of cognitive impairment; however, it is unclear whether engaging in PA in older adulthood is sufficient to influence progression through cognitive status categories. METHOD Applying a coordinated analysis approach, this project independently analyzed 14 longitudinal studies (NTotal = 52 039; mean baseline age across studies = 69.9-81.73) from North America and Europe using multistate survival models to estimate the impact of engaging in PA on cognitive status transitions (nonimpaired, mildly impaired, severely impaired) and death. Multinomial regression models were fit to estimate life expectancy (LE) based on American PA recommendations. Meta-analyses provided the pooled effect sizes for the role of PA on each transition and estimated LEs. RESULTS Controlling for baseline age, sex, education, and chronic conditions, analyses revealed that more PA is significantly associated with decreased risk of transitioning from nonimpaired to mildly impaired cognitive functioning and death, as well as substantially longer LE. Results also provided evidence for a protective effect of PA after onset of cognitive impairment (eg, decreased risk of transitioning from mild-to-severe cognitive impairment; increased likelihood of transitioning backward from severe-to-mild cognitive impairment), though between-study heterogeneity suggests a less robust association. CONCLUSIONS These results yield evidence for the importance of engaging in PA in older adulthood for cognitive health, and a rationale for motivating older adults to engage consistently in PA.
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Affiliation(s)
- Tomiko Yoneda
- Department of Psychology, University of Victoria, British Columbia, Canada
| | - Nathan A Lewis
- Department of Psychology, University of Victoria, British Columbia, Canada
| | - Jamie E Knight
- Department of Psychology, University of Victoria, British Columbia, Canada
| | - Jonathan Rush
- Center for Healthy Aging, Pennsylvania State University, State College
| | | | - Luca Kleineidam
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Bonn, Germany
| | - Jinshil Hyun
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Andrea M Piccinin
- Department of Psychology, University of Victoria, British Columbia, Canada
| | - Scott M Hofer
- Department of Psychology, University of Victoria, British Columbia, Canada.,Institute on Aging and Lifelong Health, University of Victoria, British Columbia, Canada
| | - Emiel O Hoogendijk
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-Location VU University Medical Center, The Netherlands
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Germany
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
| | - Michael Wagner
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Bonn, Germany
| | | | - Wenyu Wang
- Department of Statistical Science, University College London
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Graciela Muniz-Terrera
- Department of Psychology, University of Victoria, British Columbia, Canada.,Centre for Dementia Prevention, The University of Edinburgh
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Derby CA, Katz MJ, Rozner S, Lipton RB, Hall CB. A Birth Cohort Analysis of Amnestic Mild Cognitive Impairment Incidence in the Einstein Aging Study (EAS) Cohort. J Alzheimers Dis 2020; 70:S271-S281. [PMID: 31256119 PMCID: PMC6700647 DOI: 10.3233/jad-181141] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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] [Indexed: 12/22/2022]
Abstract
BACKGROUND The transition from normal cognition to Alzheimer's disease is considered a continuum, with amnestic mild cognitive impairment (aMCI) an intermediate clinical cognitive state. Although prior work suggests that dementia incidence rates may be declining, there is little information regarding temporal trends in aMCI incidence. OBJECTIVE To determine whether age specific rates of aMCI have changed over sequential birth cohorts among individuals included in the population-based Einstein Aging Study (EAS) cohort. A secondary objective was to examine trends in aMCI rates among Blacks and Whites and by sex. METHODS Age specific incidence of aMCI was examined by birth year among 1,233 individuals age 70 years and above enrolled in the population-based EAS cohort between November 1, 1993 and February 22, 2016 and who had at least one annual follow-up assessment (5,321 person years of follow-up). Poisson regression was used to determine whether there has been a change in age specific aMCI rates over sequential years of birth. RESULTS No significant change in aMCI rates was identified in the overall cohort, among Blacks or Whites, or among males or females born between 1899 and 1946. CONCLUSIONS Despite a trend for decreased dementia incidence in the EAS cohort, rates of incident aMCI have not changed. These apparently conflicting results may indicate a delay or decrease in the rates of transition from aMCI to dementia within the cohort. However, further studies are needed to confirm whether rates of aMCI have changed in other populations, and how aMCI rates are related to secular trends in dementia risk factors.
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Affiliation(s)
- Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sara Rozner
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Charles B Hall
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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Rabin LA, Wang C, Mogle JA, Lipton RB, Derby CA, Katz MJ. An approach to classifying subjective cognitive decline in community-dwelling elders. Alzheimers Dement (Amst) 2020; 12:e12103. [PMID: 33015309 PMCID: PMC7521594 DOI: 10.1002/dad2.12103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 06/08/2020] [Revised: 08/06/2020] [Accepted: 08/12/2020] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) may be an early symptomatic manifestation of Alzheimer's disease, though published research largely neglects how to classify SCD in community-based studies. METHODS In neuropsychologically intact Einstein Aging Study participants (n = 1115; mean age = 78; 63% female; 30% non-White), we used Cox models to examine the association between self-perceived cognitive functioning at baseline (using three different approaches) and incident amnestic mild cognitive impairment (aMCI) with covariates of age, sex, education, race/ethnicity, general (objective) cognition, depressive symptoms, and four other SCD-related features. RESULTS After a median of 3 years, 198 participants developed aMCI. In models that included all the variables, self-perceived cognitive functioning was consistently associated with incident aMCI as were age, general cognition, and perceived control; apolipoprotein E (APOE) ε4 allele status was significant in one model. We set cut points that optimized the diagnostic accuracy of SCD at various time frames. DISCUSSION We provide an approach to SCD classification and discuss implications for cognitive aging studies.
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Affiliation(s)
- Laura A. Rabin
- Department of PsychologyBrooklyn CollegeCity University of New York (CUNY)BrooklynNew YorkUSA
- Department of PsychologyGraduate CenterCity University of New York (CUNY)New YorkNew YorkUSA
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Cuiling Wang
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Jacqueline A. Mogle
- Edna Bennett Pierce Prevention Research CenterThe Pennsylvania State University, University ParkPennsylvaniaUSA
| | - Richard B. Lipton
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Psychiatry and Behavioral MedicineAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Carol A. Derby
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Mindy J. Katz
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
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Jackson EA, Ruppert K, Derby CA, Lian Y, Chae CU, Kazlauskaite R, Neal-Perry G, El Khoudary SR, Harlow SD, Solomon DH. Is race or ethnicity associated with under-utilization of statins among women in the United States: The study of women's health across the nation. Clin Cardiol 2020; 43:1388-1397. [PMID: 32862481 PMCID: PMC7724205 DOI: 10.1002/clc.23448] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 06/01/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022] Open
Abstract
Background Rates of statin use among minority women are unclear. Hypothesis We hypothesized that statin use would vary by race/ethnicity with lower rates among minority women compared with Whites. Methods Data from the study of women's health across the nation, a multiethnic cohort of women collected between 2009 to 2011 were used to examine reported statin use by race/ethnicity and risk profile. Multivariable logistic modeling was performed to estimate the odds ratio (OR) of statin treatment. Results Of the 2399 women included, 234 had a diagnosis of atherosclerotic disease (ASCVD), 254 were diabetic (without ASCVD), 163 had an LDL ≥190 mg/dL, and 151 had a 10 year ASCVD pooled risk score ≥7.5%. Statins were used by 49.6% of women with CVD; 59.8% of women with diabetes without known ASCVD; 42.3% of women with an LDL ≥190 mg/dL; and 19.9% of women with an ASCVD risk ≥7.5%. Rates of statin use were 43.8% for women with ≥ two prior ASCVD events and 69.4% for women with ≥ one prior ASCVD event plus multiple high‐risk conditions. Among women eligible for statins, Black women had a significantly reduced adjusted odds of being on a statin (OR 0.53, 95% confidence interval [CI] 0.36‐0.78) compared with White women. Conclusions In this cohort of multiethnic women, rates of statin use among women who would benefit were low, with Black women having lower odds of statin use than White women.
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Affiliation(s)
- Elizabeth A Jackson
- Division of Cardiovascular Disease, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kristine Ruppert
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Carol A Derby
- The Saul R. Korey Department of Neurology, and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yinjuan Lian
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Claudia U Chae
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rasa Kazlauskaite
- Department of Medicine, Rush University Medical Center, chicago, Illinois, USA
| | - Genevieve Neal-Perry
- Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Samar R El Khoudary
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Siobán D Harlow
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel H Solomon
- Division of Rheumatology, Division of Pharmacoepidemiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Buxton OM, Zhaoyang R, Jiao JL, Sliwinski MJ, Derby CA. 0858 Impact Of Actigraphic Sleep Measures On Ambulatory Cognitive Performance In A Community-Based Sample Of Older Adults. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.854] [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
Few longitudinal studies link objectively assessed sleep and cognition, especially day to day differences in sleep as they relate to daily cognitive performance in ecologically-valid, natural environments. We examine the associations of sleep (actigraphy) with ambulatory ecological momentary assessments (EMA) of cognitive performance.
Methods
Analyses involved 225 participants enrolled in The Einstein Aging Study, a community based longitudinal cohort of older adults free of dementia at enrollment (Mage=77.27 years; 33% males; 47% Caucasian, 39% African American, 13% Hispanic). We examined between-person associations between actigraphic sleep duration and wake after sleep onset (WASO) with mean and variability across the day in cognitive performance. Cognitive performance was assessed via validated, smartphone-based EMA over a mean of 18 days. Six assessments/day included Symbol Match (processing speed), Color Dot (working memory), and Color Shape (memory binding). Models controlled for age, gender, ethnicity, education (years), clinically assessed mild cognitive impairment, and learning effects. Actigraphy data was collected throughout the study period.
Results
Sleep duration had a significant effect on within-person variability on ambulatory cognition: Color Dot, Symbol Match, and Color Shape (all p’s <0.001). Older adults with longer mean nightly sleep duration exhibited more stable cognitive performance over time versus those with shorter sleep duration; sleep duration did not predict mean levels of daily cognitive performance. Person-level means of WASO (0.99±0.45 hours/night) predicted mean levels on cognitive tests, independent of sleep duration. Older adults with less WASO/night exhibited better cognitive performance. One half hour less nightly WASO predicted 175ms shorter Symbol Match response time (p=0.004), 1.5% lower Color Dot error proportion (p=0.048), 0.07 points higher Color Shape accuracy (p<0.001). Older adults with less WASO/night also had less within-person variations in Color Dot (p<0.001), Symbol Match (p<0.001) and Color Shape performance (p=0.01).
Conclusion
Ambulatory cognitive performance assessed using EMA was related to actigraphic sleep. Poor sleep health may be a target for prevention of early cognitive changes that may precede onset of cognitive impairment and AD.
Support
Research was supported by the National Institute on Aging (NIA) award numbers P01AG003949 and R01AG056538.
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Affiliation(s)
- O M Buxton
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA
| | - R Zhaoyang
- Center for Healthy Aging, Pennsylvania State University, University Park, PA
- Department of Human Development and Family Studies, College of Health and Human Development, The Pennsylvania State University, University Park, PA
| | - J L Jiao
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA
| | - M J Sliwinski
- Center for Healthy Aging, Pennsylvania State University, University Park, PA
- Department of Human Development and Family Studies, College of Health and Human Development, The Pennsylvania State University, University Park, PA
| | - C A Derby
- Departments of Neurology and Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY
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50
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Barinas-Mitchell E, Duan C, Brooks M, El Khoudary SR, Thurston RC, Matthews KA, Jackson EA, Lewis TT, Derby CA. Cardiovascular Disease Risk Factor Burden During the Menopause Transition and Late Midlife Subclinical Vascular Disease: Does Race/Ethnicity Matter? J Am Heart Assoc 2020; 9:e013876. [PMID: 32063114 PMCID: PMC7070180 DOI: 10.1161/jaha.119.013876] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [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] [Indexed: 12/30/2022]
Abstract
Background The extent to which cardiovascular disease (CVD) risk factors across the menopause explain racial/ethnic differences in subclinical vascular disease in late midlife women is not well documented and was explored in a multi‐ethnic cohort. Methods and Results Participants (n=1357; mean age 60 years) free of clinical CVD from the Study of Women's Health Across the Nation had common carotid artery intima‐media thickness, interadventitial diameter, and carotid plaque presence assessed by ultrasonography on average 13.7 years after baseline visit. Early to late midlife time‐averaged cumulative burden of traditional CVD risk factors calculated using serial measures from baseline to the ultrasound visit were generally less favorable in black and Hispanic women compared with white and Chinese women, including education and smoking status and time‐averaged cumulative blood pressure, high‐density lipoprotein cholesterol, and fasting insulin. Independent of these risk factors, BMI, and medications, common carotid artery intima‐media thickness was thicker in black women, interadventitial diameter was wider in Chinese women, yet plaque presence was lower in black and Hispanic women compared with white women. CVD risk factor associations with subclinical vascular measures did not vary by race/ethnicity except for high‐density lipoprotein cholesterol on common carotid artery intima‐media thickness; an inverse association between high‐density lipoprotein cholesterol and common carotid artery intima‐media thickness was observed in Chinese and Hispanic but not in white or black women. Conclusions Race/ethnicity did not particularly moderate the association between traditional CVD risk factors measured across the menopause transition and late midlife subclinical vascular disease. Unmeasured socioeconomic, cultural, and nontraditional biological risk factors likely play a role in racial/ethnic differences in vascular health and merit further exploration.
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Affiliation(s)
| | - Chunzhe Duan
- Department of Epidemiology University of Pittsburgh PA
| | - Maria Brooks
- Department of Epidemiology University of Pittsburgh PA
| | | | | | - Karen A Matthews
- Departments of Psychiatry and Psychology University of Pittsburgh PA
| | - Elizabeth A Jackson
- Division of Cardiovascular Medicine Department of Internal Medicine University of Alabama at Birmingham AL
| | - Tené T Lewis
- Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA
| | - Carol A Derby
- Departments of Neurology and Epidemiology & Population Health Albert Einstein College of Medicine Bronx NY
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