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Ding X, Wang Q, Kan H, Zhao F, Zhu M, Chen H, Fu E, Li Z. The regulation mechanism of perceived stress on cognitive function of patients with breast cancer undergoing chemotherapy: a multiple mediation analysis. Breast Cancer Res Treat 2025; 211:245-259. [PMID: 39976866 DOI: 10.1007/s10549-025-07641-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Accepted: 02/05/2025] [Indexed: 03/29/2025]
Abstract
AIM Cancer-related cognitive impairment (CRCI) is one of the severe side effects affecting the quality of life of breast cancer (BC) patients. However, the mechanisms underlying CRCI are still unclear. The study aimed to examine the multiple mediating roles of resilience, social support, cortisol, and neutrophil-lymphocyte ratio (NLR) in the relationship between perceived stress and cognitive function. DESIGN The study was a descriptive, cross-sectional study. METHODS The study investigated 450 BC patients with chemotherapy in China. Convenience sampling was conducted from February to August 2023. The study used the Perceived Stress Scale, the Connor-Davidson Resilience Scale, the Social Support Rating Scale, the Functional Assessment of Cancer Therapy-Cognitive Function, the Montreal Cognitive Assessment, salivary cortisol, and NLR. SPSS 25.0 and AMOS 26.0 conducted bivariate correlations and multiple mediation analysis. RESULTS The correlations of magnitude variables ranged from no correlation to moderate level (r = - 0.002 to - 0.617). The multiple mediation path demonstrated that resilience and morning cortisol levels mediated the relationship between perceived stress and cognitive function, with a 95% confidence interval (CI) not including 0 for the direct, indirect, and total effects. CONCLUSIONS The study confirmed that when BC patients endure physical and psychological stress during diagnosis and treatment, individuals' resilience can buffer the stress on cognitive function. Morning salivary cortisol levels, as the product and indicator of the hypothalamic-pituitary-adrenal (HPA) axis function, may play a significant role in the effect of perceived stress on cognitive function while incapable of finding NLR as the marker of individuals' immune inflammatory response and social support play a role in this relationship. The study, based on a stress perspective, explored the regulatory mechanisms by which perceived stress affects cognitive function in patients undergoing chemotherapy for breast cancer, providing intervenable targets for subsequent improvement of patients' cognitive function.
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Affiliation(s)
- Xiaotong Ding
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Ba Dachu Road, Shijingshan District, Beijing, 100144, China
| | - Qing Wang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Ba Dachu Road, Shijingshan District, Beijing, 100144, China
- School of Nursing, Lanzhou University, 28 Yanxi Road, Chengguan District, Lanzhou, 730010, China
| | - Houming Kan
- School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macau, SAR, China
| | - Fang Zhao
- Department of Internal Medicine, National Cancer Center/ National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Mingyue Zhu
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Ba Dachu Road, Shijingshan District, Beijing, 100144, China
| | - Hongli Chen
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Ba Dachu Road, Shijingshan District, Beijing, 100144, China
| | - Enfeng Fu
- Department of Internal Medicine, National Cancer Center/ National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Zheng Li
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Ba Dachu Road, Shijingshan District, Beijing, 100144, China.
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2
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Murayama H, Iizuka A, Machida M, Amagasa S, Inoue S, Fujiwara T, Shobugawa Y. Impact of social isolation on change in brain volume in community-dwelling older Japanese people: The NEIGE Study. Arch Gerontol Geriatr 2025; 129:105642. [PMID: 39396451 DOI: 10.1016/j.archger.2024.105642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 09/06/2024] [Accepted: 09/19/2024] [Indexed: 10/15/2024]
Abstract
BACKGROUND Several studies have shown that social isolation is a risk factor for cognitive decline and dementia; however, its neurological mechanisms are not fully understood. Using longitudinal data, this study examined the effects of social isolation on hippocampal and total gray matter volumes in community-dwelling older Japanese individuals. METHODS Data were obtained from the Neuron to Environmental Impact Across Generations (NEIGE) Study conducted in Tokamachi City (Niigata Prefecture, Japan), including 279 community-dwelling persons aged 65-84 years who underwent brain magnetic resonance imaging in 2017 and 2021 (male: 47.6 %; mean age: 73.0 years). We investigated two dimensions of social isolation: poor social networks and solitary living. RESULTS Multiple regression analysis with inverse probability weighting showed that individuals with a social contact frequency of <1 time/week had a greater decrease in hippocampal volume than those with a contact frequency of more than or equal to 4 times/week, whereas those who lived alone tended to have a smaller decrease in hippocampal volume than those who lived with others. We found no association between the frequency of social contact, living alone, and total gray matter volume. Furthermore, there was no interaction between sex and age for any of the outcomes. CONCLUSION Our longitudinal analysis suggested that the relationship between social isolation and dementia onset may be mediated by hippocampal atrophy; however, the direction of the influence depends on the isolation type. These findings are expected to contribute to the elucidation of the social mechanisms underlying dementia onset.
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Affiliation(s)
- Hiroshi Murayama
- Research Team for Social Participation and Healthy Aging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
| | - Ai Iizuka
- Research Team for Social Participation and Healthy Aging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Masaki Machida
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
| | - Shiho Amagasa
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan; Teikyo University School of Public Health, Tokyo, Japan
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
| | - Takeo Fujiwara
- Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yugo Shobugawa
- Department of Active Ageing, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
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3
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Selwa LM, Banwell BL, Choe M, McCullough LD, Merchant S, Ovbiagele B, Salinas J, Tilton AH, Day GS. The Neurologist's Role in Promoting Brain Health: Emerging Issues in Neurology. Neurology 2025; 104:e210226. [PMID: 39680817 DOI: 10.1212/wnl.0000000000210226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 10/31/2024] [Indexed: 12/18/2024] Open
Abstract
Neurologic conditions are a leading cause of morbidity and mortality within the United States and worldwide. Brain health is a global concern, and the American Academy of Neurology's Brain Health Initiative promises to drive progress in this field over the next decades. Neurologists with detailed training and insight into brain function are uniquely positioned to apply emerging preventive health data to promote healthy brain development and maintain optimal brain function throughout the lifespan. The neurologist's role in promoting brain health is also vital in patients with active neurologic disease, in whom preventive measures may reduce recurrence or slow progression of disease and may enhance quality of life and overall function. In this Emerging Issues in Neurology article, we present the factors that may protect brain function and frame a practical approach to screening assessments and preventive interventions that neurology clinicians may consider to improve the brain health of patients at all life stages.
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Affiliation(s)
- Linda M Selwa
- Department of Neurology, University of Michigan, Ann Arbor
| | - Brenda L Banwell
- Division of Neurology, Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Meeryo Choe
- Department of Pediatric Neurology, University of California, Los Angeles
| | - Louise D McCullough
- Department of Neurology, McGovern Medical School, University of Texas Health, Houston
| | | | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco
| | - Joel Salinas
- Department of Neurology, New York University Grossman School of Medicine, New York City
| | - Ann H Tilton
- Department of Neurology, Louisiana State University Health Sciences Center and Children's Hospital of New Orleans; and
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4
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Liu Y, Chang J, Zhao Y, Tang Y. Neuroticism personality, social contact, and dementia risk: A prospective cohort study. J Affect Disord 2024; 358:391-398. [PMID: 38735577 DOI: 10.1016/j.jad.2024.05.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Personality traits, especially neuroticism, can influence susceptibility to dementia. Social contact mitigates stress and risk of dementia, the extent to which social contact can mitigate excess risk associated with neuroticism remains unclear. We aim to investigate whether active social contact is associated with lower neuroticism-associated excess risk of dementia. METHODS This prospective cohort study examined 393,939 UK Biobank participants (mean [SD] age: 56.4 [8.1] years; 53.7 % female) assessed from 2006 to 2010 and followed up until December 2022. Neuroticism was measured using the Revised Eysenck Personality Questionnaire. Social contact levels were assessed based on household size, contact with family or friends, and group participation. Dementia was determined using linked electronic health records. RESULTS High neuroticism was associated with increased all-cause dementia risk and cause-specific dementia. Among high neuroticism participants, excess risk of all-cause dementia showed a stepwise decrease with increasing social contact (low: hazard ratios (HR) = 1.27, 95 % confidence interval (CI) = 1.15-1.40; intermediate: HR = 1.20, 95 % CI = 1.12-1.28; high: HR = 1.07, 95 % CI = 1.00-1.15). High social contact similarly decreased excess risk of cause-specific dementia, comparable to those with low neuroticism. LIMITATIONS Neuroticism and social contact information relied on self-report questionnaires at baseline, with a potential temporal relationship between these factors. CONCLUSION Active social contact is associated with a stepwise reduction in excess dementia risk and potentially eliminate excess risk of dementia with high neuroticism individuals, supporting social contact as a preventive strategy to attenuate excess risks of dementia from neuroticism personality trait.
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Affiliation(s)
- Yufei Liu
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China; National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jie Chang
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yiwei Zhao
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China; National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yi Tang
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China; National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China; Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China.
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5
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Latimer CS, Prater KE, Postupna N, Dirk Keene C. Resistance and Resilience to Alzheimer's Disease. Cold Spring Harb Perspect Med 2024; 14:a041201. [PMID: 38151325 PMCID: PMC11293546 DOI: 10.1101/cshperspect.a041201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
Dementia is a significant public health crisis; the most common underlying cause of age-related cognitive decline and dementia is Alzheimer's disease neuropathologic change (ADNC). As such, there is an urgent need to identify novel therapeutic targets for the treatment and prevention of the underlying pathologic processes that contribute to the development of AD dementia. Although age is the top risk factor for dementia in general and AD specifically, these are not inevitable consequences of advanced age. Some individuals are able to live to advanced age without accumulating significant pathology (resistance to ADNC), whereas others are able to maintain cognitive function despite the presence of significant pathology (resilience to ADNC). Understanding mechanisms of resistance and resilience will inform therapeutic strategies to promote these processes to prevent or delay AD dementia. This article will highlight what is currently known about resistance and resilience to AD, including our current understanding of possible underlying mechanisms that may lead to candidate preventive and treatment interventions for this devastating neurodegenerative disease.
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Affiliation(s)
- Caitlin S Latimer
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
| | - Katherine E Prater
- Department of Neurology, University of Washington, Seattle 98195, Washington, USA
| | - Nadia Postupna
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
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6
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Li Y, Tang A, Ge L, Zhang L, Chen L, Xu Y, Wang L, Zhu X, Wu Q. The relationship between social and psychological factors with cognitive impairment after stroke: a prospective study. Front Psychiatry 2024; 15:1403027. [PMID: 38993385 PMCID: PMC11238245 DOI: 10.3389/fpsyt.2024.1403027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 06/03/2024] [Indexed: 07/13/2024] Open
Abstract
Objectives To investigate the association between social and psychological factors and the risk of cognitive impairment following acute ischemic stroke. Materials and methods A prospective study was conducted at Shanghai Tenth People's Hospital from June 2021 to July 2022. The study focused on social and psychological factors, which were assessed using the Social Support Rating Scale (SSRS), Self-Perceived Burden Scale (SPBS), and Hamilton Depression Scale (HAMD) within 3 days after admission to the hospital. Cognitive function was evaluated using the Montreal Cognitive Assessment at 3 months post-stroke. Logistic hierarchical regression models were used to examine the association between these three indicators and cognitive impairment following a stroke. Results Among these patients, cognitive function was assessed in 211 cases at the 3-month follow-up after the initial stroke event. At 3 months post-stroke, 118(55.9%) of the participants experienced cognitive impairment, while 93(44.1%) did not. The scores on the SPBS and HAMD showed significant associations with cognitive impairment at 3 months after stroke. The scores of SPBS [scores: 30~39 vs.<20 points, odds ratio (OR)=2.993 (1.135-7.896); scores: ≥40 vs.<20points, OR=7.382 (1.117-48.799); P=0.043] and the HAMD [scores: >7 vs.≤7 points, OR=3.287(1.362~7.936); P=0.008]. There were no significant associations observed between SSRS and PSCI. Conclusion Early screening for depressive symptoms and focusing on self-perceived burden can be beneficial for decision support for clinicians and improve cognitive function recovery at the 3-month mark post-stroke.
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Affiliation(s)
- Yao Li
- Department of Nursing, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- School of Nursing and Health, Henan University, Henan, Kaifeng, China
| | - Aijie Tang
- Department of Nursing, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Ge
- College of Medicine, Tongji University, Shanghai, China
| | - Lin Zhang
- Department of Nursing, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ling Chen
- Department of Nursing, Shanghai Ruijin Rehabilitation Hospital, Shanghai, China
| | - Yuhua Xu
- Department of Intervention, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Department of Nursing, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiaoping Zhu
- Department of Nursing, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qian Wu
- Department of Nursing, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
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7
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Kalaria R, Maestre G, Mahinrad S, Acosta DM, Akinyemi RO, Alladi S, Allegri RF, Arshad F, Babalola DO, Baiyewu O, Bak TH, Bellaj T, Brodie‐Mends DK, Carrillo MC, Celestin K, Damasceno A, de Silva RK, de Silva R, Djibuti M, Dreyer AJ, Ellajosyula R, Farombi TH, Friedland RP, Garza N, Gbessemehlan A, Georgiou EE, Govia I, Grinberg LT, Guerchet M, Gugssa SA, Gumikiriza‐Onoria JL, Hogervorst E, Hornberger M, Ibanez A, Ihara M, Issac TG, Jönsson L, Karanja WM, Lee JH, Leroi I, Livingston G, Manes FF, Mbakile‐Mahlanza L, Miller BL, Musyimi CW, Mutiso VN, Nakasujja N, Ndetei DM, Nightingale S, Novotni G, Nyamayaro P, Nyame S, Ogeng'o JA, Ogunniyi A, de Oliveira MO, Okubadejo NU, Orrell M, Paddick S, Pericak‐Vance MA, Pirtosek Z, Potocnik FCV, Raman R, Rizig M, Rosselli M, Salokhiddinov M, Satizabal CL, Sepulveda‐Falla D, Seshadri S, Sexton CE, Skoog I, George‐Hyslop PHS, Suemoto CK, Thapa P, Udeh‐Momoh CT, Valcour V, Vance JM, Varghese M, Vera JH, Walker RW, Zetterberg H, Zewde YZ, Ismail O. The 2022 symposium on dementia and brain aging in low- and middle-income countries: Highlights on research, diagnosis, care, and impact. Alzheimers Dement 2024; 20:4290-4314. [PMID: 38696263 PMCID: PMC11180946 DOI: 10.1002/alz.13836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 05/04/2024]
Abstract
Two of every three persons living with dementia reside in low- and middle-income countries (LMICs). The projected increase in global dementia rates is expected to affect LMICs disproportionately. However, the majority of global dementia care costs occur in high-income countries (HICs), with dementia research predominantly focusing on HICs. This imbalance necessitates LMIC-focused research to ensure that characterization of dementia accurately reflects the involvement and specificities of diverse populations. Development of effective preventive, diagnostic, and therapeutic approaches for dementia in LMICs requires targeted, personalized, and harmonized efforts. Our article represents timely discussions at the 2022 Symposium on Dementia and Brain Aging in LMICs that identified the foremost opportunities to advance dementia research, differential diagnosis, use of neuropsychometric tools, awareness, and treatment options. We highlight key topics discussed at the meeting and provide future recommendations to foster a more equitable landscape for dementia prevention, diagnosis, care, policy, and management in LMICs. HIGHLIGHTS: Two-thirds of persons with dementia live in LMICs, yet research and costs are skewed toward HICs. LMICs expect dementia prevalence to more than double, accompanied by socioeconomic disparities. The 2022 Symposium on Dementia in LMICs addressed advances in research, diagnosis, prevention, and policy. The Nairobi Declaration urges global action to enhance dementia outcomes in LMICs.
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Grants
- K24 AG053435 NIA NIH HHS
- P30AG066506 National Institute of Aging (NIA)
- P01 HD035897 NICHD NIH HHS
- R13 AG066391 NIA NIH HHS
- International Society for Neurochemistry
- National Council for Scientific and Technological Development
- R01 AG075775 NIA NIH HHS
- Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden
- U19 AG074865 NIA NIH HHS
- UH3 NS100605 NINDS NIH HHS
- R01AG072547 Multi partner Consortium for Dementia Research in Latino America-Dominican Republic (LATAM-FINGERS)
- ASP/06/RE/2012/18 University of Sri Jayewardenepura, Sri Lanka
- D43 TW011532 FIC NIH HHS
- UF1 NS125513 NINDS NIH HHS
- 2019-02397 Swedish Research Council
- FLR/R1/191813 UK Royal Society/African Academy of Sciences
- R01 AG054076 NIA NIH HHS
- GOK: Government of Karnataka
- R56 AG074467 NIA NIH HHS
- R21 AG069252 NIA NIH HHS
- RF1 AG059421 NIA NIH HHS
- R56 AG061837 NIA NIH HHS
- Global Brain Health Institute (GBHI)
- 1R01AG068472-01 National Institute of Aging (NIA)
- FCG/R1/201034 UK Royal Society/African Academy of Sciences
- Appel à Projet des Equipes Émergentes et Labellisées scheme (APREL)
- Alzheimer's Drug Discovery Foundation (ADDF)
- R01 AG062588 NIA NIH HHS
- 1R01AG070883 University of Wisconsin, Madison
- U01 HG010273 NHGRI NIH HHS
- R25 TW011214 FIC NIH HHS
- ASP/06/RE/2013/28 University of Sri Jayewardenepura, Sri Lanka
- R01 AG052496 NIA NIH HHS
- R01 AG080468 NIA NIH HHS
- RBM: Rotary Bangalore Midtown
- U19 AG068054 NIA NIH HHS
- ADSF-21-831376-C Alzheimer Drug Discovery Foundation
- ADSF-21-831377-C Alzheimer Drug Discovery Foundation
- Canadian Institute of Health Research
- U19 AG078558 NIA NIH HHS
- 1P30AG066546-01A1 National Institutes of Health (NIH)
- RF1 AG059018 NIA NIH HHS
- National Research Foundation (NRF)
- P30 AG062422 NIA NIH HHS
- LSIPL: M/s Lowes Services India Private Limited
- UKDRI-1003 UK Dementia Research Institute at UCL
- U19AG074865 Multi partner Consortium for Dementia Research in Latino America-Dominican Republic (LATAM-FINGERS)
- P01 AG019724 NIA NIH HHS
- National Institute for Health and Care Research, United Kingdom
- R01 AG066524 NIA NIH HHS
- RF1 AG063507 NIA NIH HHS
- WCUP/Ph.D./19B 2013 University of Sri Jayewardenepura (USJ), Sri Lanka
- WCUP/Ph.D./19/2013 University of Sri Jayewardenepura (USJ), Sri Lanka
- GBHI ALZ UK-21-724359 Pilot Award for Global Brain Health Leaders
- R01AG080468-01 National Institute of Aging (NIA)
- U01 AG058589 NIA NIH HHS
- R01 AG057234 NIA NIH HHS
- SP/CIN/2016/02) Ministry of Primary Industries, Sri Lanka
- R01 AG072547 NIA NIH HHS
- U01 AG051412 NIA NIH HHS
- P30 AG059305 NIA NIH HHS
- Alzheimer's Association, USA
- R35 AG072362 NIA NIH HHS
- R01 NS050915 NINDS NIH HHS
- P30 AG066546 NIA NIH HHS
- 2022-01018 Swedish Research Council
- U19 AG063893 NIA NIH HHS
- ALFGBG-71320 Swedish State Support for Clinical Research
- U01 AG052409 NIA NIH HHS
- 1R13AG066391-01 National Institutes of Health (NIH)
- R01 AG21051 NIH and the Fogarty International Center [FIC]
- DP1AG069870 National Institutes of Health (NIH)
- Marie Skłodowska-Curie
- U19 AG078109 NIA NIH HHS
- Chinese Neuroscience Society, China
- RF1 AG061872 NIA NIH HHS
- DP1 AG069870 NIA NIH HHS
- P30 AG066506 NIA NIH HHS
- Wellcome Trust
- U01HG010273 Multi partner Consortium for Dementia Research in Latino America-Dominican Republic (LATAM-FINGERS)
- JPND2021-00694 European Union Joint Programme - Neurodegenerative Disease Research
- ASP/06/RE/2010/07 University of Sri Jayewardenepura, Sri Lanka
- Rainwater Charitable Foundation - The Bluefield project to cure FTD, and Global Brain Health Institute
- 101053962 European Union's Horizon Europe
- R01 AG058464 NIA NIH HHS
- R01 AG068472 NIA NIH HHS
- Michael J. Fox Foundation for Parkinson's Research, USA
- UL1 TR001873 NCATS NIH HHS
- SG-21-814756 National Institutes of Health (NIH)
- 201809-2016862 Alzheimer Drug Discovery Foundation
- UK National Health Service, Newcastle University,
- R01 AG058918 NIA NIH HHS
- National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre
- ADSF-21-831381-C Alzheimer Drug Discovery Foundation
- R01 AG070864 NIA NIH HHS
- Wellcome Trust, UK
- Health Professionals Education Partnership Initiative Ethiopia
- ANR-09-MNPS-009-01 French National Research Agency
- R01 AG062562 NIA NIH HHS
- AXA Research Fund
- ICMR: Indian Council for Medical Research
- R01 AG070883 NIA NIH HHS
- International Society for Neurochemistry
- French National Research Agency
- AXA Research Fund
- National Center for Advancing Translational Sciences
- National Council for Scientific and Technological Development
- Swedish Research Council
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Affiliation(s)
- Raj Kalaria
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Gladys Maestre
- Departments of Neuroscience and Human GeneticsUniversity of Texas Rio Grande ValleyOne W. University BlvdBrownsvilleTexasUSA
| | - Simin Mahinrad
- Division of Medical and Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
| | - Daisy M. Acosta
- Universidad Nacional Pedro Henriquez Urena (UNPHU)Santo DomingoDominican Republic
| | - Rufus Olusola Akinyemi
- Neuroscience and Ageing Research UnitInstitute for Advanced Medical Research and TrainingCollege of MedicineUniversity of IbadanIbadanOyoNigeria
| | - Suvarna Alladi
- Department of NeurologyNational Institute of Mental Health and NeurosciencesBengaluruKarnatakaIndia
| | - Ricardo F. Allegri
- Fleni Neurological InstituteBuenos AiresArgentina
- Department of NeurosciencesUniversidad de la Costa (CUC)BarranquillaColombia
| | - Faheem Arshad
- Department of NeurologyNational Institute of Mental Health and NeurosciencesBengaluruKarnatakaIndia
| | | | | | | | | | | | - Maria C. Carrillo
- Division of Medical and Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
| | - Kaputu‐Kalala‐Malu Celestin
- Department of NeurologyCentre Neuropsychopathologique (CNPP)Kinshasa University Teaching HospitalUniversity of KinshasaKinshasaRepublic Democratic of the Congo
| | | | - Ranil Karunamuni de Silva
- Interdisciplinary Centre for Innovation in Biotechnology and NeuroscienceFaculty of Medical SciencesUniversity of Sri JayewardenepuraNugegodaSri Lanka
- Institute for Combinatorial Advanced Research and Education (KDU‐CARE)General Sir John Kotelawala Defence UniversityRatmalanaSri Lanka
| | - Rohan de Silva
- Reta Lila Weston Institute and Department of ClinicalMovement NeuroscienceUCL Queen Square Institute of NeurologyLondonUK
| | - Mamuka Djibuti
- Partnership for Research and Action for Health (PRAH)TbilisiGeorgia
| | | | - Ratnavalli Ellajosyula
- Cognitive Neurology ClinicManipal Hospitaland Annasawmy Mudaliar HospitalBengaluruKarnatakaIndia
- Manipal Academy of Higher Education (MAHE)ManipalKarnatakaIndia
| | | | | | - Noe Garza
- Department of Neuroscience and Human GeneticsUniversity of Texas Rio Grande ValleyHarlingenTexasUSA
| | - Antoine Gbessemehlan
- Inserm U1094, IRD U270University of LimogesCHU Limoges, EpiMaCT ‐ Epidemiology of Chronic Diseases in Tropical ZoneInstitute of Epidemiology and Tropical NeurologyOmegaHealthLimogesFrance
- Inserm, Bordeaux Population Health Research CenterUniversity of BordeauxBordeauxFrance
| | - Eliza Eleni‐Zacharoula Georgiou
- Department of PsychiatryPatras University General HospitalFaculty of Medicine, School of Health SciencesUniversity of PatrasPatrasGreece
| | - Ishtar Govia
- Caribbean Institute for Health ResearchThe University of the West Indies, JamaicaWest IndiesJamaica
- Institute for Global HealthUniversity College LondonLondonUK
| | - Lea T. Grinberg
- Department of Neurology and PathologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of PathologyUniversity of Sao PauloR. da Reitoria, R. Cidade UniversitáriaSão PauloSao PauloBrazil
| | - Maëlenn Guerchet
- Inserm U1094, IRD U270University of LimogesCHU Limoges, EpiMaCT ‐ Epidemiology of Chronic Diseases in Tropical ZoneInstitute of Epidemiology and Tropical NeurologyOmegaHealthLimogesFrance
| | - Seid Ali Gugssa
- Department of NeurologySchool of MedicineAddis Ababa UniversityAddis AbabaEthiopia
| | | | - Eef Hogervorst
- Loughborough UniversityLoughboroughUK
- Respati UniversityYogyakartaIndonesia
| | | | - Agustin Ibanez
- Latin American Institute for Brain Health (BrainLat)Universidad Adolfo IbanezPeñalolénSantiagoChile
- Global Brain Health Institute (GBHI)University California San Francisco (UCSF)San FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
- Cognitive Neuroscience Center (CNC)Universidad de San Andrés, and National Scientific and Technical Research Council (CONICET)VictoriaProvincia de Buenos AiresArgentina
| | - Masafumi Ihara
- Department of NeurologyNational Cerebral and Cardiovascular CenterSuitaOsakaJapan
| | - Thomas Gregor Issac
- Centre for Brain ResearchIndian Institute of Science (IISc)BengaluruKarnatakaIndia
| | - Linus Jönsson
- Department of NeurobiologyCare Science and Society, section for NeurogeriatricsKarolinska Institute, SolnavägenSolnaSweden
| | - Wambui M. Karanja
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
- Brain and Mind InstituteAga Khan UniversityNairobiKenya
| | - Joseph H. Lee
- Sergievsky CenterTaub Institute for Research on Alzheimer's Disease and the Aging BrainDepartments of Neurology and EpidemiologyColumbia UniversityNew YorkNew YorkUSA
| | - Iracema Leroi
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
| | | | - Facundo Francisco Manes
- Institute of Cognitive and Translational Neuroscience (INCYT)INECO FoundationFavaloro UniversityBuenos AiresArgentina
| | - Lingani Mbakile‐Mahlanza
- Global Brain Health Institute (GBHI)University California San Francisco (UCSF)San FranciscoCaliforniaUSA
- University of BotswanaGaboroneBotswana
| | - Bruce L. Miller
- Department of NeurologyMemory and Aging CenterUniversity of California San Francisco Weill Institute for NeurosciencesSan FranciscoCaliforniaUSA
| | | | - Victoria N. Mutiso
- Africa Mental Health Research and Training FoundationNairobiKenya
- Department of PsychiatryUniversity of NairobiNairobiKenya
- World Psychiatric Association Collaborating Centre for Research and TrainingNairobiKenya
| | | | - David M. Ndetei
- Africa Mental Health Research and Training FoundationNairobiKenya
- Department of PsychiatryUniversity of NairobiNairobiKenya
- World Psychiatric Association Collaborating Centre for Research and TrainingNairobiKenya
| | - Sam Nightingale
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Gabriela Novotni
- University Clinic of NeurologyMedical Faculty University Ss Cyril and Methodius Institute for Alzheimer's Disease and NeuroscienceSkopjeNorth Macedonia
| | - Primrose Nyamayaro
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
- Faculty of Medicine and Health SciencesUniversity of ZimbabweHarareZimbabwe
| | - Solomon Nyame
- Kintampo Health Research CentreGhana Health ServiceHospital RoadNear Kintampo‐north Municipal HospitalKintampoGhana
| | | | | | - Maira Okada de Oliveira
- Global Brain Health Institute (GBHI)University California San Francisco (UCSF)San FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
- Department of Psychiatry at Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Cognitive Neurology and Behavioral Unit (GNCC)University of Sao PauloR. da Reitoria, R. Cidade UniversitáriaSão PauloSao PauloBrazil
| | - Njideka U. Okubadejo
- Neurology UnitDepartment of MedicineFaculty of Clinical SciencesCollege of MedicineUniversity of LagosYabaLagosNigeria
| | - Martin Orrell
- Institute of Mental HealthUniversity of NottinghamNottinghamUK
| | - Stella‐Maria Paddick
- Newcastle UniversityNewcastle upon TyneUK
- Gateshead Health NHS Foundation TrustSheriff HillTyne and WearUK
| | - Margaret A. Pericak‐Vance
- John P Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiCoral GablesFloridaUSA
- Dr. John T Macdonald Foundation Department of Human GeneticsUniversity of Miami Miller School of MedicineCoral GablesFloridaUSA
| | - Zvezdan Pirtosek
- Faculty of MedicineUniversity Medical Centre LjubljanaLjubljanaSlovenia
| | - Felix Claude Victor Potocnik
- Old Age Psychiatry Unit, Depth PsychiatryStellenbosch UniversityWestern Cape, Stellenbosch CentralStellenboschSouth Africa
| | - Rema Raman
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Mie Rizig
- Department of Neuromuscular DiseasesUCL Queen Square Institute of NeurologyQueen SquareLondonUK
| | - Mónica Rosselli
- Department of PsychologyCharles E. Schmidt College of ScienceFlorida Atlantic UniversityBoca RatonFloridaUSA
- Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
| | | | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Sciences CenterSan AntonioTexasUSA
- Department of NeurologyBoston University School of MedicineBostonMassachusettsUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
| | - Diego Sepulveda‐Falla
- Molecular Neuropathology of Alzheimer's DiseaseInstitute of NeuropathologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and South Texas ADRCUT Health San AntonioSan AntonioTexasUSA
- University of Texas Health Sciences CenterSan AntonioTexasUSA
| | - Claire E. Sexton
- Division of Medical and Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
| | - Ingmar Skoog
- Institute of Neuroscience and FysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Peter H. St George‐Hyslop
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainDepartment of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Cambridge Institute for Medical Research and Department of Clinical NeurosciencesSchool of Clinical MedicineUniversity of CambridgeAddenbrookes Biomedical CampusTrumpingtonCambridgeUK
- Department of Medicine (Neurology)Temerty Faculty of MedicineUniversity of Torontoand University Health Network27 King's College CirTorontoOntarioCanada
| | - Claudia Kimie Suemoto
- Division of GeriatricsUniversity of Sao Paulo Medical SchoolR. da Reitoria, R. Cidade UniversitáriaSão PauloSao PauloBrazil
| | - Prekshy Thapa
- Global Brain Health Institute (GBHI)Trinity College DublinLloyd Building Trinity College DublinDublinIreland
| | - Chinedu Theresa Udeh‐Momoh
- Global Brain Health Institute (GBHI)University California San Francisco (UCSF)San FranciscoCaliforniaUSA
- FINGERS Brain Health Institutec/o Stockholms SjukhemStockholmSweden
- Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
- Department of NeurobiologyCare Sciences and Society (NVS)Division of Clinical GeriatricsKarolinska Institute, SolnavägenSolnaSweden
- Imarisha Centre for Brain health and AgingBrain and Mind InstituteAga Khan UniversityNairobiKenya
| | - Victor Valcour
- Memory and Aging CenterDepartment of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Jeffery M. Vance
- John P Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiCoral GablesFloridaUSA
| | - Mathew Varghese
- St. John's Medical CollegeSarjapur ‐ Marathahalli Rd, beside Bank Of Baroda, John Nagar, KoramangalaBengaluruKarnatakaIndia
| | - Jaime H. Vera
- Department of Global Health and InfectionBrighton and Sussex Medical SchoolBrightonUK
| | - Richard W. Walker
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGöteborgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyQueen Square, Queen SquareLondonUK
- UK Dementia Research Institute at UCLUniversity College LondonLondonUK
- Hong Kong Center for Neurodegenerative DiseasesClear Water BayHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Yared Z. Zewde
- Department of NeurologySchool of MedicineAddis Ababa UniversityAddis AbabaEthiopia
| | - Ozama Ismail
- Division of Medical and Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
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Rodríguez-Rabassa M, Appleton AA, Rosario-Villafañe V, Repollet-Carrer I, Borges-Rodríguez M, Dedós-Peña L, González M, Velázquez-González P, Muniz-Rodriguez K, Mántaras-Ortiz C, Rivera-Amill V, Olivieri-Ramos O, Alvarado-Domenech LI. Associations between the social environment and early childhood developmental outcomes of Puerto Rican children with prenatal Zika virus exposure: a cross-sectional study. BMC Pediatr 2024; 24:342. [PMID: 38755525 PMCID: PMC11100158 DOI: 10.1186/s12887-024-04806-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 05/02/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Prenatal exposure to the Zika virus can lead to microcephaly and adverse developmental outcomes, even in children without evident birth defects. The social environment plays a crucial role in infant health and developmental trajectories, especially during periods of heightened brain plasticity. The study aimed to assess socioenvironmental factors as predictors of developmental outcomes of 36-month-old children exposed to Zika virus prenatally. STUDY DESIGN This cross-sectional study included 53 mothers and 55 children enrolled in the Pediatric Outcomes of Prenatal Zika Exposure cohort study in Puerto Rico. The study performs follow-up developmental assessments of children born to mothers with confirmed and probable Zika virus infection during pregnancy. Mothers completed socioenvironmental questionnaires (e.g., Perceived Neighborhood Scale and US Household Food Insecurity Survey). Children's developmental outcomes were assessed with the Bayley Scales of Infant and Toddler Development: Third Edition, the Ages and Stages Questionnaires: Third Edition, the Ages and Stages Questionnaire-Socioemotional: Second Edition, and the Child Adjustment and Parent Efficacy Scale. RESULTS Linear regression models, adjusting for a child's sex and age and maternal education, revealed that early life exposure to food insecurity and maternal pregnancy stressors were significantly associated with poorer developmental outcomes in Zika virus-exposed children at 36 months of age. Maternal resilience representation of adaptive ability was associated with the preservation of adequate developmental outcomes in children. CONCLUSIONS Pregnancy and early childhood are critical life periods for ensuring optimal brain development in children. While the mechanisms in the interaction of children with their environment are complex, the risk and protective factors identified in the study are modifiable through public policy and preventive initiatives. Implementation of comprehensive strategies that improve access to social support programs, educational and nutritional interventions, and mental health services during pregnancy and early childhood can enhance the developmental potential of vulnerable children.
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Affiliation(s)
- Mary Rodríguez-Rabassa
- Department of Pediatrics, Ponce Health Sciences University, Ponce, PR, Puerto Rico.
- RCMI Center for Research Resources, Ponce Health Sciences University, Ponce, PR, Puerto Rico.
- Clinical Psychology Program, Ponce Health Sciences University, Ponce, PR, 00732-7004, Puerto Rico.
| | - Allison A Appleton
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY, USA
| | | | | | | | - Lydiet Dedós-Peña
- Ponce Research Institute, Ponce Health Sciences University, Ponce, PR, Puerto Rico
| | - Marielly González
- Clinical Psychology Program, Ponce Health Sciences University, Ponce, PR, 00732-7004, Puerto Rico
| | - Paola Velázquez-González
- Clinical Psychology Program, Ponce Health Sciences University, Ponce, PR, 00732-7004, Puerto Rico
| | | | - Claudia Mántaras-Ortiz
- Clinical Psychology Program, Ponce Health Sciences University, Ponce, PR, 00732-7004, Puerto Rico
| | - Vanessa Rivera-Amill
- RCMI Center for Research Resources, Ponce Health Sciences University, Ponce, PR, Puerto Rico
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9
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Payen A, Bateman JR, Persin MJ, Bennett JM. Biopsychosocial contexts influence adult cognitive function concurrently and longitudinally. Brain Behav Immun Health 2024; 36:100732. [PMID: 38371382 PMCID: PMC10873657 DOI: 10.1016/j.bbih.2024.100732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 12/15/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024] Open
Abstract
Background Cognitive aging is a complex process that impacts human behavior. Identifying the factors that preserve cognitive functioning is a public health priority, given that 20% of the US population will be at least 65 years old in the next decade. Biopsychosocial determinants of cognitive decline across the lifespan are often examined as ecological factors that independently moderate cognitive aging, despite the known complexity surrounding these relationships. Objective We aimed to address this gap by exploring the synergistic and simultaneous relationship between risk and protective factors on cognitive functioning. Method Using the MIDUS study datasets, we examined the relationships among physiological markers, friendship quality, and global cognition functioning, concurrently and longitudinally over ten years. Our participants included 929 healthy (417 men, 512 women) adults (average age at Time 1: 54.6 ± 11.6 years). Exploratory analyses examining the effects of racial minority status were also conducted. Results Cross-sectionally, age, and friendship quality moderated the relationship between vagally-mediated heart rate variability (vm-HRV) and cognition such that younger adults with greater friendship quality had a negative relationship between vm-HRV and cognitive performance; our unexpected finding suggests the heart-brain relationship is sensitive to the biopsychosocial environment. Longitudinally, higher IL-6 levels at Time 1 predicted poorer cognitive performance a decade later, but only among those with greater levels of friendship quality, especially for white-identifying individuals. Conclusions The relationships among physiological risk factors, social protective factors and cognitive functioning appear to be temporally different during mid-adulthood. Given many of the whole sample findings were not replicated within the racial minority subgroup, we suggest that these relationships should be examined in a larger and more diverse racial minority sample to determine whether this study lacked the power necessary to detect a relationship or if the relationships are in fact different by racial minority sub-group. In addition, future research should overcome the study's reliance on healthy adults and self-report measures of friendship quality by including adults with pre-existing cognitive impairments, and employing more real-time measures of friendship quality, such as daily diary or ecological momentary assessment.
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Affiliation(s)
- Ameanté Payen
- Health Psychology PhD Program, UNC Charlotte, United States
| | - James R. Bateman
- Department of Neurology, Wake Forest University School of Medicine, United States
- Alzhiemer's Disease Research Center, Wake Forest University School of Medicine, United States
| | | | - Jeanette M. Bennett
- Health Psychology PhD Program, UNC Charlotte, United States
- Department of Psychological Science, UNC Charlotte, United States
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Randolph JJ, Lacritz LH, Colvin MK, Espe-Pfeifer P, Carter KR, Arnett PA, Fox-Fuller J, Aduen PA, Cullum CM, Sperling SA. Integrating Lifestyle Factor Science into Neuropsychological Practice: A National Academy of Neuropsychology Education Paper. Arch Clin Neuropsychol 2024; 39:121-139. [PMID: 37873931 DOI: 10.1093/arclin/acad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 10/25/2023] Open
Abstract
OBJECTIVE The primary aim of this paper is to review evidence and clinical implications related to lifestyle activities associated with promoting brain and cognitive health. Our review targets four key lifestyle factors: physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets. METHOD We conducted a critical review of the lifestyle factor literature in the four domains listed earlier. We contextualize this literature review by translating findings, when possible, into evidence-based recommendations to consider when providing neuropsychological services. RESULTS There is significant current evidence supporting the role of physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets on positive brain and cognitive health outcomes. While some null findings are present in all four areas reviewed, the weight of the evidence supports the notion that engaging in these activities may promote brain and cognitive functioning. CONCLUSIONS Clinical neuropsychologists can have confidence in recommending engagement in physical activity, social activity, and cognitively stimulating activity, and adhering to a Mediterranean-style diet to promote brain and cognitive health. We discuss limitations in existing lifestyle factor research and future directions to enhance the existing evidence base, including additional research with historically underrepresented groups and individuals with neurological conditions.
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Affiliation(s)
- John J Randolph
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Randolph Neuropsychology Associates, PLLC, Lebanon, NH, USA
| | - Laura H Lacritz
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mary K Colvin
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Patricia Espe-Pfeifer
- Department of Psychiatry & Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | | | - Peter A Arnett
- Psychology Department, The Pennsylvania State University, University Park, PA, USA
| | - Joshua Fox-Fuller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Paula A Aduen
- Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - C Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Scott A Sperling
- Center for Neurological Restoration, Department of Neurology, Cleveland Clinic, Cleveland, Ohio, USA
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Zhao A, Balcer LJ, Himali JJ, O’Donnell A, Rahimpour Y, DeCarli C, Gonzales MM, Aparicio HJ, Ramos-Cejudo J, Kenney R, Beiser A, Seshadri S, Salinas J. Association of Loneliness with Functional Connectivity MRI, Amyloid-β PET, and Tau PET Neuroimaging Markers of Vulnerability for Alzheimer's Disease. J Alzheimers Dis 2024; 99:1473-1484. [PMID: 38820017 PMCID: PMC11191473 DOI: 10.3233/jad-231425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2024] [Indexed: 06/02/2024]
Abstract
Background Loneliness has been declared an "epidemic" associated with negative physical, mental, and cognitive health outcomes such as increased dementia risk. Less is known about the relationship between loneliness and advanced neuroimaging correlates of Alzheimer's disease (AD). Objective To assess whether loneliness was associated with advanced neuroimaging markers of AD using neuroimaging data from Framingham Heart Study (FHS) participants without dementia. Methods In this cross-sectional observational analysis, we used functional connectivity MRI (fcMRI), amyloid-β (Aβ) PET, and tau PET imaging data collected between 2016 and 2019 on eligible FHS cohort participants. Loneliness was defined as feeling lonely at least one day in the past week. The primary fcMRI marker was Default Mode Network intra-network connectivity. The primary PET imaging markers were Aβ deposition in precuneal and FLR (frontal, lateral parietal and lateral temporal, retrosplenial) regions, and tau deposition in the amygdala, entorhinal, and rhinal regions. Results Of 381 participants (mean age 58 [SD 10]) who met inclusion criteria for fcMRI analysis, 5% were classified as lonely (17/381). No association was observed between loneliness status and network changes. Of 424 participants (mean age 58 [SD = 10]) meeting inclusion criteria for PET analyses, 5% (21/424) were lonely; no associations were observed between loneliness and either Aβ or tau deposition in primary regions of interest. Conclusions In this cross-sectional study, there were no observable associations between loneliness and select fcMRI, Aβ PET, and tau PET neuroimaging markers of AD risk. These findings merit further investigation in prospective studies of community-based cohorts.
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Affiliation(s)
- Amanda Zhao
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Laura J. Balcer
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
- Department of Population Health and Ophthalmology, New York University Grossman School of Medicine, New York, NY, USA
| | - Jayandra J. Himali
- The Framingham Study, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Adrienne O’Donnell
- The Framingham Study, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yashar Rahimpour
- Department of Anatomy and Neurobiology, Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- Department of Neurology, University of California Davis, Davis, CA, USA
| | - Mitzi M. Gonzales
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Hugo J. Aparicio
- The Framingham Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Jaime Ramos-Cejudo
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Rachel Kenney
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
- Department of Population Health and Ophthalmology, New York University Grossman School of Medicine, New York, NY, USA
| | - Alexa Beiser
- The Framingham Study, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sudha Seshadri
- The Framingham Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Joel Salinas
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
- The Framingham Study, Boston, MA, USA
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Groechel RC, Liu AC, Koton S, Kucharska-Newton AM, Lutsey PL, Mosley TH, Palta P, Sharrett AR, Walker KA, Wong DF, Gottesman RF. Associations Between Mid-Life Psychosocial Measures and Estimated Late Life Amyloid Burden: The Atherosclerosis Risk in Communities (ARIC)-PET Study. J Alzheimers Dis 2024; 97:1901-1911. [PMID: 38339934 DOI: 10.3233/jad-231218] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
Background Psychosocial factors are modifiable risk factors for Alzheimer's disease (AD). One mechanism linking psychosocial factors to AD risk may be through biological measures of brain amyloid; however, this association has not been widely studied. Objective To determine if mid-life measures of social support and social isolation in the Atherosclerosis Risk in Communities (ARIC) Study cohort are associated with late life brain amyloid burden, measured using florbetapir positron emission tomography (PET). Methods Measures of social support and social isolation were assessed in ARIC participants (visit 2: 1990-1992). Brain amyloid was evaluated with florbetapir PET standardized uptake value ratios (SUVRs; visit 5: 2012-2014). Results Among 316 participants without dementia, participants with intermediate (odds ratio (OR), 0.47; 95% CI, 0.25-0.88), or low social support (OR, 0.43; 95% CI, 0.22-0.83) in mid-life were less likely to have elevated amyloid SUVRs, relative to participants with high social support. Participants with moderate risk for social isolation in mid-life (OR, 0.32; 95% CI, 0.14-0.74) were less likely to have elevated amyloid burden than participants at low risk for social isolation. These associations were not significantly modified by sex or race. Conclusions Lower social support and moderate risk of social isolation in mid-life were associated with lower odds of elevated amyloid SUVR in late life, compared to participants with greater mid-life psychosocial measures. Future longitudinal studies evaluating mid-life psychosocial factors, in relation to brain amyloid as well as other health outcomes, will strengthen our understanding of the role of these factors throughout the lifetime.
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Affiliation(s)
- Renee C Groechel
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Albert C Liu
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Silvia Koton
- Department of Nursing, The Stanley Steyer School of Health Professions, Tel Aviv University, Tel Aviv, Israel
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anna M Kucharska-Newton
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Priya Palta
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keenan A Walker
- National Institute on Aging Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Dean F Wong
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
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Pan L, Gao B, Zhu J, Guo J. Negative Wealth Shock and Cognitive Decline and Dementia in Middle-Aged and Older US Adults. JAMA Netw Open 2023; 6:e2349258. [PMID: 38147330 PMCID: PMC10751595 DOI: 10.1001/jamanetworkopen.2023.49258] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/09/2023] [Indexed: 12/27/2023] Open
Abstract
Importance As a financial hardship, negative wealth shock has been implicated in some adverse health outcomes. However, associations between negative wealth shock and cognitive decline and dementia have not been examined. Objective To investigate whether negative wealth shock was associated with cognitive decline and incident dementia among middle-aged and older US adults. Design, Setting, and Participants The Health and Retirement Study (HRS) is a prospective cohort study conducted biennially among US adults older than 50 years. Data from the HRS from calendar years 1996 to 2020 were analyzed from July 1 to 31, 2023. The final sample included 8082 participants with complete data of interest. Exposures Wealth status was quantified with questionnaires. Negative wealth shock was defined as a loss of 75% or more in total wealth over a 2-year period. Asset poverty was defined as zero or less total net wealth. Main Outcomes and Measures Cognitive function was assessed with the modified Telephone Interview for Cognitive Status (TICS-m). Dementia status was determined with TICS-m scores and proxy assessment. Results Among 8082 participants included (mean [SD] age, 63.7 [5.7] years; 4179 women [51.7%] and 3903 men [48.3%]; 1111 Black [13.7%], 6689 White [82.7%], and 282 other [3.5%]), 1441 developed incident dementia over a median follow-up time of 14 (IQR, 7-20) years. Compared with participants who had positive wealth without shock, those with negative wealth shock had accelerated cognitive decline (β coefficient, -0.014 [95% CI, -0.027 to -0.001]; P = .03) and increased risks of dementia (hazard ratio [HR], 1.27 [95% CI, 1.11-1.46]; P < .001). Higher dementia risks were also found in participants with asset poverty at baseline (HR, 1.61 [95% CI, 1.30-2.00]; P < .001). Associations were found in White participants (HR, 1.34 [95% CI, 1.14-1.58]; P < .001) and participants younger than 65 years (HR, 1.38 [95% CI, 1.13-1.68]; P = .001) but not in other races and ethnicities or those 65 years or older. Conclusions and Relevance In this cohort study, negative wealth shock was associated with accelerated cognitive decline and elevated risks of dementia among middle-aged and older US adults, with modifications by age and ethnicity. These findings should be confirmed by further prospective and interventional studies.
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Affiliation(s)
- Liulu Pan
- Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Gao
- Department of Psychiatry, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Junpeng Zhu
- Center for Rehabilitation Medicine, Department of Psychiatry, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, China
| | - Jing Guo
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Phongpreecha T, Godrich D, Berson E, Espinosa C, Kim Y, Cholerton B, Chang AL, Mataraso S, Bukhari SA, Perna A, Yakabi K, Montine KS, Poston KL, Mormino E, White L, Beecham G, Aghaeepour N, Montine TJ. Quantitative estimate of cognitive resilience and its medical and genetic associations. Alzheimers Res Ther 2023; 15:192. [PMID: 37926851 PMCID: PMC10626669 DOI: 10.1186/s13195-023-01329-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND We have proposed that cognitive resilience (CR) counteracts brain damage from Alzheimer's disease (AD) or AD-related dementias such that older individuals who harbor neurodegenerative disease burden sufficient to cause dementia remain cognitively normal. However, CR traditionally is considered a binary trait, capturing only the most extreme examples, and is often inconsistently defined. METHODS This study addressed existing discrepancies and shortcomings of the current CR definition by proposing a framework for defining CR as a continuous variable for each neuropsychological test. The linear equations clarified CR's relationship to closely related terms, including cognitive function, reserve, compensation, and damage. Primarily, resilience is defined as a function of cognitive performance and damage from neuropathologic damage. As such, the study utilized data from 844 individuals (age = 79 ± 12, 44% female) in the National Alzheimer's Coordinating Center cohort that met our inclusion criteria of comprehensive lesion rankings for 17 neuropathologic features and complete neuropsychological test results. Machine learning models and GWAS then were used to identify medical and genetic factors that are associated with CR. RESULTS CR varied across five cognitive assessments and was greater in female participants, associated with longer survival, and weakly associated with educational attainment or APOE ε4 allele. In contrast, damage was strongly associated with APOE ε4 allele (P value < 0.0001). Major predictors of CR were cardiovascular health and social interactions, as well as the absence of behavioral symptoms. CONCLUSIONS Our framework explicitly decoupled the effects of CR from neuropathologic damage. Characterizations and genetic association study of these two components suggest that the underlying CR mechanism has minimal overlap with the disease mechanism. Moreover, the identified medical features associated with CR suggest modifiable features to counteract clinical expression of damage and maintain cognitive function in older individuals.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
| | - Dana Godrich
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Eloise Berson
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | | | - Alan L Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Syed A Bukhari
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Amalia Perna
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Koya Yakabi
- Department of Pathology, Stanford University, Stanford, CA, USA
| | | | - Kathleen L Poston
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lon White
- Pacific Health Research and Education Institute, Honolulu, HI, USA
| | - Gary Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, USA.
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Wiese LAK, Gibson A, Guest MA, Nelson AR, Weaver R, Gupta A, Carmichael O, Lewis JP, Lindauer A, Loi S, Peterson R, Radford K, Rhodus EK, Wong CG, Zuelsdorff M, Saidi LG, Valdivieso-Mora E, Franzen S, Pope CN, Killian TS, Shrestha HL, Heyn PC, Ng TKS, Prusaczyk B, John S, Kulshreshtha A, Sheffler JL, Besser L, Daniel V, Tolea MI, Miller J, Musyimi C, Corkey J, Yank V, Williams CL, Rahemi Z, Park J, Magzamen S, Newton RL, Harrington C, Flatt JD, Arora S, Walter S, Griffin P, Babulal GM. Global rural health disparities in Alzheimer's disease and related dementias: State of the science. Alzheimers Dement 2023; 19:4204-4225. [PMID: 37218539 PMCID: PMC10524180 DOI: 10.1002/alz.13104] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings. RESULTS A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions. DISCUSSION A location dynamics model and ADRD-focused future directions are offered for guiding rural practitioners, researchers, and policymakers in mitigating rural disparities. HIGHLIGHTS Rural residents face heightened Alzheimer's disease and related dementia (ADRD) risks and burdens due to health disparities. Defining the unique rural barriers and facilitators to cognitive health yields insight. The strengths and resilience of rural residents can mitigate ADRD-related challenges. A novel "location dynamics" model guides assessment of rural-specific ADRD issues.
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Affiliation(s)
- Lisa Ann Kirk Wiese
- C.E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, Florida, USA
| | - Allison Gibson
- University of Kentucky College of Social Work, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - Marc Aaron Guest
- Center for Innovation in Healthy and Resilient Aging, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Amy R Nelson
- Frederick P. Whiddon College of Medicine, Department of Physiology & Cell Biology, University of South Alabama, Mobile, Alabama, USA
| | - Raven Weaver
- Department of Human Development, Washington State University, Pullman, Washington, USA
| | - Aditi Gupta
- Division of Nephrology and Hypertension, Department of Internal Medicine, Neurology, Alzheimer's Disease Research Center, University of Kansas, Kansas City, Kansas, USA
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Jordan P Lewis
- Memory Keepers Medical Discovery Team, University of Minnesota Medical School, Duluth, Minnesota, USA
| | - Allison Lindauer
- Oregon Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Samantha Loi
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
| | - Rachel Peterson
- University of Montana School of Public and Community Health Sciences, Missoula, Montana, USA
| | - Kylie Radford
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Elizabeth K Rhodus
- University of Kentucky College of Social Work, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- University of Kentucky Alzheimer's Disease Research Center, University of Kentucky, Lexington, Kentucky, USA
- University of Kentucky College of Medicine, for Health Equity Transformation, University of Kentucky, Lexington, Kentucky, USA
| | - Christina G Wong
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Megan Zuelsdorff
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Ladan Ghazi Saidi
- Department of Communication Disorders, Center for Brain Biology and Behavior (CB3), University of Nebraska at Kearney, and Lincoln, Nebraska, USA
| | - Esmeralda Valdivieso-Mora
- Department of Psychology and Public Health, Universidad Centroamericana José Simeón Cañas, El Salvador, El Salvador
| | - Sanne Franzen
- Department of Neurology and Alzheimer Center, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Caitlin N Pope
- Department of Health, Behavior, & Society, University of Kentucky, Lexington, Kentucky, USA
| | - Timothy S Killian
- Human Development and Family Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Hom L Shrestha
- School of Kinesiology and Health Sciences, Laurentian University, Sudbury, Ontario, Canada
| | - Patricia C Heyn
- Center for Optimal Aging, Department of Physical Therapy, Marymount University, Arlington, Virginia, USA
| | - Ted Kheng Siang Ng
- Department of Psychology, Arizona State University, Phoenix, Arizona, USA
| | - Beth Prusaczyk
- Institute for Informatics (I2), Center for Population Health Informatics at I2, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Samantha John
- Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, Nevada, USA
| | - Ambar Kulshreshtha
- Department of Family and Preventive Medicine, Division of Hospital Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Division of Hospital Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Julia L Sheffler
- Center for Translational Behavioral Science, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Lilah Besser
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Valerie Daniel
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Magdalena I Tolea
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Justin Miller
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Christine Musyimi
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | | | - Veronica Yank
- Department of Medicine, University of California, San Francisco, USA
| | - Christine L Williams
- C.E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, Florida, USA
| | - Zahra Rahemi
- Clemson School of Nursing, Clemson University, Clemson, South Carolina, USA
| | - JuYoung Park
- Sandler School of Social Work, College of Social Work and Criminal Justice, Florida Atlantic University, Boca Raton, Florida, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Robert L Newton
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | | | - Jason D Flatt
- School of Public Health, Department of Social & Behavioral Health, University of Nevada, Las Vegas, USA
| | - Sonakshi Arora
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Sarah Walter
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Percy Griffin
- Alzheimer's Therapeutic Research Institute, Alzheimer's Clinical Trials Consortium, University of Southern California, San Diego, California, USA
| | - Ganesh M Babulal
- Scientific Engagement, Medical & Scientific Relations, Alzheimer's Association, Chicago, Illinois, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Psychology, University of Johannesburg, Johannesburg, South Africa
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16
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Duffner LA, DeJong NR, Jansen JFA, Backes WH, de Vugt M, Deckers K, Köhler S. Associations between social health factors, cognitive activity and neurostructural markers for brain health - A systematic literature review and meta-analysis. Ageing Res Rev 2023; 89:101986. [PMID: 37356551 DOI: 10.1016/j.arr.2023.101986] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
Social health factors (e.g., social activities or social support) and cognitive activity engagement have been associated with dementia risk, but their neural substrates have not been well established. This systematic review and meta-analysis summarizes the available evidence regarding the association between these factors and cerebral macro- and micro-structure. A comprehensive literature search was conducted in various databases, following predefined criteria. Heterogeneity, risk of publication bias and overall certainty of evidence were assessed using standardized scales and, whenever appropriate, random effects meta-analysis was conducted. Of 6715 identified articles, 43 were included. Overall, consistency of findings was low and methodological heterogeneity high for all outcomes. However, in some studies cognitive and social activities were positively associated with total brain, global and cortical grey matter and hippocampal volume as well as white matter microstructural integrity. Furthermore, structural social network characteristics (e.g., social network size) were associated with regional grey matter volumes, while functional social network characteristics (e.g., social support) were additionally associated with total brain volume. Meta-analyses revealed small but significant partial correlations between cognitive and social activities and hippocampal (three studies; n = 892; rz =0.07) and white matter hyperintensity volume (three studies; n = 2934; rz =-0.04). More prospective studies are needed to assess temporal associations.
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Affiliation(s)
- Lukas A Duffner
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Nathan R DeJong
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Marjolein de Vugt
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Kay Deckers
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
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17
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Kezios KL, Zimmerman SC, Zhang A, Calonico S, Jawadekar N, Glymour MM, Zeki Al Hazzouri A. Propensity Scores in Health Disparities Research: The Example of Cognitive Aging and the Hispanic Paradox. Epidemiology 2023; 34:495-504. [PMID: 36976729 PMCID: PMC11304344 DOI: 10.1097/ede.0000000000001620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
BACKGROUND Individuals of Mexican ancestry in the United States experience substantial socioeconomic disadvantages compared with non-Hispanic white individuals; however, some studies show these groups have similar dementia risk. Evaluating whether migration selection factors (e.g., education) associated with risk of Alzheimer disease and related dementia (ADRD) explain this paradoxical finding presents statistical challenges. Intercorrelation of risk factors, common with social determinants, could make certain covariate patterns very likely or unlikely to occur for particular groups, which complicates their comparison. Propensity score (PS) methods could be leveraged here to diagnose nonoverlap and help balance exposure groups. METHODS We compare conventional and PS-based methods to examine differences in cognitive trajectories between foreign-born Mexican American, US-born Mexican American, and US-born non-Hispanic white individuals in the Health and Retirement Study (1994-2018). We examined cognition using a global measure. We estimated trajectories of cognitive decline from linear mixed models adjusted for migration selection factors also associated with ADRD risk conventionally or with inverse probability weighting. We also employed PS trimming and match weighting. RESULTS In the full sample, where PS overlap was poor, unadjusted analyses showed both Mexican ancestry groups had worse baseline cognitive scores but similar or slower rates of decline compared with non-Hispanic white adults; adjusted findings were similar, regardless of method. Focusing analyses on populations where PS overlap was improved (PS trimming and match weighting) did not alter conclusions. CONCLUSIONS Attempting to equalize groups on migration selection and ADRD risk factors did not explain paradoxical findings for Mexican ancestry groups in our study.
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Affiliation(s)
- Katrina L Kezios
- From the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Scott C Zimmerman
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA
| | - Adina Zhang
- From the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Sebastian Calonico
- Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY
| | - Neal Jawadekar
- From the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - M Maria Glymour
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA
| | - Adina Zeki Al Hazzouri
- From the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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18
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Coleman ME, Roessler MEH, Peng S, Roth AR, Risacher SL, Saykine AJ, Apostolova LG, Perry BL. Social enrichment on the job: Complex work with people improves episodic memory, promotes brain reserve, and reduces the risk of dementia. Alzheimers Dement 2023; 19:2655-2665. [PMID: 37037592 PMCID: PMC10272079 DOI: 10.1002/alz.13035] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/22/2022] [Indexed: 04/12/2023]
Abstract
Individuals with more complex jobs experience better cognitive function in old age and a lower risk of dementia, yet complexity has multiple dimensions. Drawing on the Social Networks in Alzheimer Disease study, we examine the association between occupational complexity and cognition in a sample of older adults (N = 355). A standard deviation (SD) increase in complex work with people is associated with a 9% to 12% reduction in the probability of mild cognitive impairment or dementia, a 0.14-0.19 SD increase in episodic memory, and a 0.18-0.25 SD increase in brain reserve, defined as the gap (residual) between global cognitive function and magnetic resonance imaging (MRI) indicators of brain atrophy. In contrast, complexity with data or things is rarely associated with cognitive outcomes. We discuss the clinical and methodological implications of these findings, including the need to complement data-centered activities (e.g., Sudoku puzzles) with person-centered interventions that increase social complexity.
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Affiliation(s)
- Max E. Coleman
- Department of Sociology, University of Utah, Salt Lake City, Utah, USA
- Department of Sociology, Indiana University, Bloomington, Indiana, USA
| | - Meghan E. H. Roessler
- Department of Sociology, Indiana University, Bloomington, Indiana, USA
- Marian University College of Osteopathic Medicine, Indianapolis, Indiana, USA
| | - Siyun Peng
- Department of Sociology, Indiana University, Bloomington, Indiana, USA
| | - Adam R. Roth
- Department of Sociology, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Shannon L. Risacher
- Stark Neurosciences Research Institute, Indiana Alzheimer's Disease Research Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Andrew J. Saykine
- Stark Neurosciences Research Institute, Indiana Alzheimer's Disease Research Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Departments of Neurology, Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Liana G. Apostolova
- Stark Neurosciences Research Institute, Indiana Alzheimer's Disease Research Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Departments of Neurology, Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Brea L. Perry
- Department of Sociology, Indiana University, Bloomington, Indiana, USA
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19
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Jing Y, Wang W, Peng W, Wang M, Chen X, Liu X, Wang P, Yan F, Yang Y, Wang X, Sun S, Ruan Y, Wang Y. Social support and cognitive function in Chinese older adults who experienced depressive symptoms: is there an age difference? Front Aging Neurosci 2023; 15:1175252. [PMID: 37251805 PMCID: PMC10213363 DOI: 10.3389/fnagi.2023.1175252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/19/2023] [Indexed: 05/31/2023] Open
Abstract
Objective This study examined the moderating effect of overall social support and the different types of social support on cognitive functioning in depressed older adults. We also investigated whether the moderating effect varied according to age. Methods A total of 2,500 older adults (≥60 years old) from Shanghai, China were enrolled using a multistage cluster sampling method. Weighted linear regression and multiple linear regression was utilized to analyze the moderating effect of social support on the relationship between depressive symptoms and cognitive function and to explore its differences in those aged 60-69, 70-79, and 80 years and above. Results After adjusting for covariates, the results indicated that overall social support (β = 0.091, p = 0.043) and support utilization (β = 0.213, p < 0.001) moderated the relationship between depressive symptoms and cognitive function. Support utilization reduced the possibility of the cognitive decline in depressed older adults aged 60-69 years (β = 0.310, p < 0.001) and 80 years and above (β = 0.199, p < 0.001), while objective support increased the possibility of cognitive decline in depressed older people aged 70-79 years (β = -0.189, p < 0.001). Conclusion Our findings highlight the buffering effects of support utilization on cognitive decline in depressed older adults. We suggest that age-specific measures should be taken when providing social support to depressed older adults in order to reduce the deterioration of cognitive function.
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Affiliation(s)
- Yurong Jing
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Wei Wang
- School of Public Health, Fudan University, Shanghai, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Meng Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Xiaoli Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Xinya Liu
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Pengfei Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Fei Yan
- School of Public Health, Fudan University, Shanghai, China
| | - Yinghua Yang
- Shanghai Center for Clinical Laboratory, Shanghai, China
| | - Xinguo Wang
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Shuangyuan Sun
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Ye Ruan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
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20
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Wei P. Ultra-Early Screening of Cognitive Decline Due to Alzheimer's Pathology. Biomedicines 2023; 11:biomedicines11051423. [PMID: 37239094 DOI: 10.3390/biomedicines11051423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/07/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
Alzheimer's pathology can be assessed and defined via Aβ and tau biomarkers. The preclinical period of Alzheimer's disease is long and lasts several decades. Although effective therapies to block pathological processes of Alzheimer's disease are still lacking, downward trends in the incidence and prevalence of dementia have occurred in developed countries. Accumulating findings support that education, cognitive training, physical exercise/activities, and a healthy lifestyle can protect cognitive function and promote healthy aging. Many studies focus on detecting mild cognitive impairment (MCI) and take a variety of interventions in this stage to protect cognitive function. However, when Alzheimer's pathology advances to the stage of MCI, interventions may not be successful in blocking the development of the pathological process. MCI individuals reverting to normal cognitive function exhibited a high probability to progress to dementia. Therefore, it is necessary to take effective measures before the MCI stage. Compared with MCI, an earlier stage, transitional cognitive decline, may be a better time window in which effective interventions are adopted for at-risk individuals. Detecting this stage in large populations relies on rapid screening of cognitive function; given that many cognitive tests focus on MCI detection, new tools need to be developed.
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Affiliation(s)
- Pengxu Wei
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
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21
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Lawrence E, John SE, Bhatta T. Urbanicity and cognitive functioning in later life. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12429. [PMID: 37124156 PMCID: PMC10130675 DOI: 10.1002/dad2.12429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/03/2023] [Accepted: 03/19/2023] [Indexed: 05/02/2023]
Abstract
Introduction Prior research has shown disparities in cognitive functioning across the rural-urban continuum. We examine individual- and contextual-level factors to understand how and why urbanicity shapes cognitive functioning across older adulthood. Methods Using a nationally representative sample from 1996 to 2016 waves of the Health and Retirement Study (HRS) and growth curve models, we assess urban-suburban-exurban differences in older adult cognitive functioning. Results Results demonstrate that older adult men and women living in exurban areas, and older adult men in suburban areas, have lower cognitive functioning scores compared to their urban peers. Educational attainment and marital status contribute to but do not fully explain these differences. There were no differences in the trajectory over age, suggesting that urbanicity disparities in cognition occur earlier in life, with average differences remaining the same across older adulthood. Discussion Differences in cognitive functioning across urbanicity are likely due to factors accumulating prior to older adulthood.
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Affiliation(s)
| | - Samantha E. John
- Department of Brain HealthUniversity of NevadaLas VegasNevadaUSA
| | - Tirth Bhatta
- Department of SociologyUniversity of NevadaLas VegasNevadaUSA
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Kallianpur KJ, Masaki KH, Chen R, Willcox BJ, Allsopp RC, Davy P, Dodge HH. Weak Social Networks in Late Life Predict Incident Alzheimer's Disease: The Kuakini Honolulu-Asia Aging Study. J Gerontol A Biol Sci Med Sci 2023; 78:663-672. [PMID: 36208464 PMCID: PMC10061568 DOI: 10.1093/gerona/glac215] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND We assessed 10-year longitudinal associations between late-life social networks and incidence of all-cause dementia (ACD), Alzheimer's disease (AD), and vascular dementia (VaD) in Japanese-American men. METHODS We prospectively analyzed, from baseline (1991-1993) through 1999-2000, 2636 initially nondemented Kuakini Honolulu-Asia Aging Study participants who remained dementia-free during the first 3 years of follow-up. Global cognition was evaluated by the Cognitive Abilities Screening Instrument (CASI); depressive symptoms by the 11-item Center for Epidemiologic Studies Depression (CES-D) Scale; and social networks by the Lubben Social Network Scale (LSNS). Median split of LSNS scores defined weak/strong social network groups. A panel of neurologists and geriatricians diagnosed and classified dementia; AD and VaD diagnoses comprised cases in which AD or VaD, respectively, were considered the primary cause of dementia. RESULTS Median (range) baseline age was 77 (71-93) years. Participants with weak (LSNS score ≤29) versus strong (>29) social networks had higher age-adjusted incidence (in person-years) of ACD (12.6 vs. 8.7; p = .014) and AD (6.7 vs. 4.0; p = .007) but not VaD (2.4 vs. 1.4; p = .15). Kaplan-Meier curves showed a lower likelihood of survival free of ACD (log-rank p < .0001) and AD (p = .0006) for men with weak networks. In Cox proportional hazards models adjusting for age, education, APOE ɛ4, prevalent stroke, depressive symptoms, and CASI score (all at baseline), weak networks predicted increased incidence of ACD (hazard ratio [HR] = 1.52, p = .009) and AD (HR = 1.67, p = .014) but not VaD (p > .2). CONCLUSION Weak social networks may heighten the risk of dementia and AD, underscoring the need to promote social connectedness in older adults.
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Affiliation(s)
- Kalpana J Kallianpur
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii, Honolulu, Hawaii, USA
| | - Kamal H Masaki
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Geriatric Medicine, University of Hawaii, Honolulu, Hawaii, USA
| | - Randi Chen
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Bradley J Willcox
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Geriatric Medicine, University of Hawaii, Honolulu, Hawaii, USA
| | - Richard C Allsopp
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Philip Davy
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Hiroko H Dodge
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
- Layton Aging and Alzheimer’s Disease Center, Oregon Health & Science University, Portland, Oregon, USA
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Hu J, Wang Y, Tong Y, Lin G, Li Y, Chen J, Xu D, Wang L, Bai R. Thalamic structure and anastomosis in different hemispheres of moyamoya disease. Front Neurosci 2023; 16:1058137. [PMID: 36699541 PMCID: PMC9869676 DOI: 10.3389/fnins.2022.1058137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/30/2022] [Indexed: 01/11/2023] Open
Abstract
Objective The progression of the asymptomatic hemisphere of moyamoya disease (MMD) is largely unknown. In this study, we investigated the differences in subcortical gray matter structure and angiographic features between asymptomatic and symptomatic hemispheres in patients with MMD. Methods We retrospectively reviewed patients with MMD in consecutive cases in our center. We compared subcortical gray matter volume and three types of collaterals (lenticulostriate anastomosis, thalamic anastomosis, and choroidal anastomosis) between symptomatic and asymptomatic hemispheres. Symptomatic hemispheres were classified as ischemic hemisphere (i-hemisphere) and hemorrhagic hemisphere (h-hemisphere). Asymptomatic hemispheres were classified as contralateral asymptomatic hemisphere of i-hemisphere (ai-hemisphere), contralateral asymptomatic hemisphere of h-hemisphere (ah-hemisphere), bilateral asymptomatic hemispheres in asymptomatic group (aa-hemisphere). Results A total of 117 MMD patients were reviewed, and 49 of them met the inclusion criteria, with 98 hemispheres being analyzed. The thalamic volume was found to differ significantly between the i- and ai-hemispheres (P = 0.010), between the i- and ah-hemispheres (P = 0.004), as well as between the h- and ai-hemispheres (P = 0.002), between the h- and ah-hemispheres (P < 0.001). There was a higher incidence of thalamic anastomosis in the ai-hemispheres than i-hemispheres (31.3% vs. 6.3%, P = 0.070), and in the ah-hemispheres than h-hemispheres (29.6% vs. 11.1%, P = 0.088). Additionally, the hemispheres with thalamic anastomosis had a significantly greater volume than those without thalamic anastomosis (P = 0.024). Univariate and multivariate logistic regression analysis showed that thalamic volume was closely associated with thalamic anastomosis. Conclusion The thalamic volume and the incidence of thalamic anastomosis increase in asymptomatic hemispheres and decrease in symptomatic hemispheres. Combining these two characteristics may be helpful in assessing the risk of stroke in the asymptomatic hemispheres of MMD as well as understanding the pathological evolution of the disease.
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Affiliation(s)
- Junwen Hu
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Clinical Research Center for Neurological Diseases of Zhejiang, Hangzhou, China
| | - Yongjie Wang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Clinical Research Center for Neurological Diseases of Zhejiang, Hangzhou, China
| | - Yun Tong
- Affiliated Cixi Hospital of Wenzhou Medical University, Ningbo, China
| | - Gaojun Lin
- Zhejiang University School of Medicine, Hangzhou, China
| | - Yin Li
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Clinical Research Center for Neurological Diseases of Zhejiang, Hangzhou, China
| | - Jingyin Chen
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Clinical Research Center for Neurological Diseases of Zhejiang, Hangzhou, China
| | - Duo Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Wang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Clinical Research Center for Neurological Diseases of Zhejiang, Hangzhou, China
| | - Ruiliang Bai
- Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
- Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
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Arcidiacono DM, Machia LV, Lefferts WK, Wolf DA, Heffernan KS. Social isolation and subclinical vascular pathways to cerebrovascular disease. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2023; 68:14-31. [PMID: 36825786 PMCID: PMC10275295 DOI: 10.1080/19485565.2023.2182274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Social isolation and lack of social support are risk factors for cardiovascular and cerebrovascular disease (CVD). This study explored the relationship between measures of social support and subclinical measures of CVD risk. 58 healthy adults ages 18 to 85 years participated in this study. The Berkman-Syme Social Network Inventory (SNI) was used to assess social isolation, with higher scores signifying less isolation. Social support was defined using the 12-Item Interpersonal Support Evaluation List (ISEL-12) with a higher score signifying higher social support. Subclinical CVD measures included carotid-femoral pulse wave velocity (cfPWV), carotid beta-stiffness index, and middle cerebral artery (MCA) pulsatility index. Path analysis models for both the SNI and ISEL appraisal domain predicting cfPWV and cerebrovascular pulsatility fit the data well. Path analyses showed significant direct paths from the SNI (β = -.363, t = -2.91) and ISEL appraisal domain (β = -.264, t = -2.05) to cfPWV. From cfPWV, both models revealed significant direct paths to carotid stiffness (β = .488, t = 4.18) to carotid pulse pressure (β = .311, t = 2.45) to MCA pulsatility (β = .527, t = 4.64). Social isolation and appraisal of social support are related to unfavorably higher aortic stiffness, with subsequent detrimental effects on cerebrovascular hemodynamic pulsatility.
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Affiliation(s)
| | - Laura V. Machia
- Department of Psychology and the Syracuse University, Syracuse New York
| | - Wesley K. Lefferts
- Department of Exercise Science, Syracuse University, Syracuse New York
- Department of Kinesiology, Iowa State University, Ames, Iowa
| | - Douglas A. Wolf
- Department of The Aging Studies Institute and the Center for Aging and Policy Studies, Syracuse University, Syracuse New York
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Bian D, Li X, Xiao Y, Song K, Wang L, Shen J, Aimaiti M, Ma X, Shi C, Li G. Relationship between Social Support, Sarcopenia, and Cognitive Impairment in Chinese Community-Dwelling Older Adults. J Nutr Health Aging 2023; 27:726-733. [PMID: 37754212 DOI: 10.1007/s12603-023-1973-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/24/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND Cognitive impairment and sarcopenia have become important challenges for the growing aging population. Social support has been shown to protect against cognitive impairment, but its impact on sarcopenia remains unknown. The purpose of this study was to explore the correlation between social support, sarcopenia, and cognitive impairment in Chinese older adults. METHOD A multi-stage whole group sampling method was used to conduct a cross-sectional survey of 720 community-dwelling older people in Shanghai. The definition of sarcopenia was in accordance with the criteria of the Asian Working Group for Sarcopenia (AWGS) 2019. Cognitive impairment was evaluated using a computerized neuropsychological assessment device that had been previously validated. Social support was assessed using the Social Support Rate Scale. Logistic regression analyses were conducted to explore the relationship between social support cognitive impairment and sarcopenia, fully adjusting for all potential confounding factors. RESULTS Our study found that 230 (31.94%) of the participants had cognitive impairment and 97 (13.47%) of the participants had sarcopenia. The mean social support score was 35.10 ± 7.54. Besides, the results showed that cognitive impairment was associated with sarcopenia (OR:1.650, 95% CI: 1.048, 2.596, P=0.030) after adjusting for confounding factors. Older adults with high level social support had the lowest risk of cognitive impairment (OR: 0.297, 95% CI: 0.115, 0.680, P=0.021) and sarcopenia (OR: 0.113, 95% CI: 0.031, 0.407, P=0.001), respectively. CONCLUSION Our analysis revealed that high level social support was negatively associated with sarcopenia and cognitive impairment. These findings provide strong support for the health promotion effect of social networks against sarcopenia and cognitive impairment in Chinese community-dwelling older adults, with important implications for healthcare policy makers.
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Affiliation(s)
- D Bian
- C. Shi, Center for Health Technology Assessment, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China, ; G. Li, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China,
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Kyaw KT, Levine A. Association of Loneliness with Cognitive Functions. J Prev Alzheimers Dis 2023; 10:903-908. [PMID: 37874113 DOI: 10.14283/jpad.2023.60] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
INTRODUCTION Observational studies suggest psychosocial factors such as social support and loneliness are associated with vulnerability for cognitive decline in older adults. However, because of racial/ethnic homogeneity in prior studies focused on identifying these associations in predominantly White cohorts, less is known about the generalizability of these putative psychosocial mechanisms in a diverse population. Thus, we evaluated whether lower levels of loneliness were associated with better cognitive performance in our sample. METHODS We conducted a cross-sectional study using 541 participants from (Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa) Dementia Cohort. Participants' self-reported loneliness as exposure. Cognitive performance is measured using a neuropsychological battery as the outcome. Raw scores were converted into Z scores, and global cognitive function was created. Generalized estimated equation and robust regression analysis). RESULTS Better global cognitive function is associated with a lower level of loneliness at (β = -0.0131, 95 % CI -0.1990, -0.0071) after adjustment for age, gender, and education. Lower levels of loneliness were associated with varying cognitive domains after adjustment for age, gender, and education; and persisted after additional adjustments of vascular risk factors. CONCLUSIONS Self-reported lower loneliness was associated with higher levels of cognitive performance in a rural South African cohort of Black older adults. Although these findings and the potential of reverse causality need to be further validated, our results suggest that an intervention study may be merited to assess whether reducing loneliness lessens vulnerability to cognitive decline.
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Affiliation(s)
- K T Kyaw
- Kay Thwe Kyaw, NYU Grossman School of Medicine, NY, USA,
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Li B, Guo Y, Deng Y, Zhao S, Li C, Yang J, Li Q, Yan Y, Li F, Li X, Rong S. Association of social support with cognition among older adults in China: A cross-sectional study. Front Public Health 2022; 10:947225. [PMID: 36225770 PMCID: PMC9548585 DOI: 10.3389/fpubh.2022.947225] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/29/2022] [Indexed: 01/21/2023] Open
Abstract
Objective This study aimed to examine the relationship between social support and its sub-domains and cognitive performance, and the association with cognitive impairment among older adults in China. Design A cross-sectional study. Setting and participants We included 865 community-based individuals aged 65 and above from Hubei province, China. Methods The level of social support was evaluated using the social support rating scale (SSRC). The Mini-Mental State Examination was adopted to assess cognitive function, and its cut-offs were used to determine cognitive impairment among the participants. Multiple linear regression models and logistic regression models were used to estimate the β and odds ratios (ORs) and their 95% CIs, respectively. Results The participants were divided into quartiles 1-4 (Q1-Q4), according to the total scores of SSRC. After adjusting for sociodemographic characteristics, lifestyle factors, and history of diseases, for MMSE scores, compared to these in Q1, the β of Q2-Q4 were -0.22 (-0.88, 0.43), 0.29 (-0.35, 0.94), and 0.86 (0.19, 1.53), respectively; For cognitive impairment, the ORs of Q2-Q4 were 1.21 (0.80, 1.82), 0.62 (0.40, 0.94), and 0.50 (0.32, 0.80), respectively. Considering SSRC scores as the continuous variable, per 1-unit increase, the β was 0.05 (0.02, 0.09) for the cognitive score, and the OR was 0.95 (0.92, 0.98) for cognitive impairment. In addition, higher levels of both subjective support and support utilization were related to better MMSE performance and lower risks of cognitive impairment. Conclusion and implications Among the older adults in China, as expected, there is a positive relationship between social support and cognitive performance, and high levels of social support, particularly in support utilization, were related to low risks of cognitive impairment. More social support should be provided in this population to improve cognitive function and reduce the risks of cognitive impairment.
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Affiliation(s)
- Benchao Li
- Department of Nutrition Hygiene and Toxicology, School of Public Health, Medical College, Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Guo
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Yan Deng
- Department of Nutrition Hygiene and Toxicology, School of Public Health, Medical College, Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
| | - Siqi Zhao
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Changfeng Li
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Jiajia Yang
- Department of Nutrition Hygiene and Toxicology, School of Public Health, Medical College, Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
| | - Qiuying Li
- Department of Nutrition Hygiene and Toxicology, School of Public Health, Medical College, Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Fang Li
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Xiaonuan Li
- Wuhan Municipal Health Commission, Wuhan, China
| | - Shuang Rong
- Department of Nutrition Hygiene and Toxicology, School of Public Health, Medical College, Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
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Jones JS, Goldstein SJ, Wang J, Gardus J, Yang J, Parsey RV, DeLorenzo C. Evaluation of brain structure and metabolism in currently depressed adults with a history of childhood trauma. Transl Psychiatry 2022; 12:392. [PMID: 36115855 PMCID: PMC9482635 DOI: 10.1038/s41398-022-02153-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 08/26/2022] [Accepted: 09/05/2022] [Indexed: 11/22/2022] Open
Abstract
Structural differences in the dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), hippocampus, and amygdala were reported in adults who experienced childhood trauma; however, it is unknown whether metabolic differences accompany these structural differences. This multimodal imaging study examined structural and metabolic correlates of childhood trauma in adults with major depressive disorder (MDD). Participants with MDD completed the Childhood Trauma Questionnaire (CTQ, n = 83, n = 54 female (65.1%), age: 30.4 ± 14.1) and simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI). Structure (volume, n = 80, and cortical thickness, n = 81) was quantified from MRI using Freesurfer. Metabolism (metabolic rate of glucose uptake) was quantified from dynamic 18F-fluorodeoxyglucose (FDG)-PET images (n = 70) using Patlak graphical analysis. A linear mixed model was utilized to examine the association between structural/metabolic variables and continuous childhood trauma measures while controlling for confounding factors. Bonferroni correction was applied. Amygdala volumes were significantly inversely correlated with continuous CTQ scores. Specifically, volumes were lower by 7.44 mm3 (95% confidence interval [CI]: -12.19, -2.68) per point increase in CTQ. No significant relationship was found between thickness/metabolism and CTQ score. While longitudinal studies are required to establish causation, this study provides insight into potential consequences of, and therefore potential therapeutic targets for, childhood trauma in the prevention of MDD. This work aims to reduce heterogeneity in MDD studies by quantifying neurobiological correlates of trauma within MDD. It further provides biological targets for future interventions aimed at preventing MDD following trauma. To our knowledge, this is the first simultaneous positron emission tomography (PET) and magnetic resonance imaging (MRI) study to assess both structure and metabolism associated with childhood trauma in adults with MDD.
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Affiliation(s)
- Joshua S. Jones
- grid.16416.340000 0004 1936 9174University of Rochester, Rochester, NY USA
| | - Samantha J. Goldstein
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Junying Wang
- grid.36425.360000 0001 2216 9681Department of Applied Mathematics and Statistics, Stony Brook University, New York, NY USA
| | - John Gardus
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Jie Yang
- grid.36425.360000 0001 2216 9681Department of Family, Population & Preventive Medicine, Stony Brook University, New York, NY USA
| | - Ramin V. Parsey
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Christine DeLorenzo
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA ,grid.36425.360000 0001 2216 9681Department of Biomedical Engineering, Stony Brook University, New York, NY USA
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Galvez-Sánchez CM, Reyes del Paso GA, Montoro CI. Revealing the Role of Social Support on Cognitive Deficits in Fibromyalgia Syndrome. Behav Neurol 2022; 2022:3852746. [PMID: 36091221 PMCID: PMC9458397 DOI: 10.1155/2022/3852746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/04/2022] [Accepted: 08/22/2022] [Indexed: 01/10/2023] Open
Abstract
Despite the relevance of cognitive deficits in fibromyalgia syndrome (FMS) and the attempts to elucidate the influence of the disorder symptoms in the cognitive decline reported by patients, no studies have explored the specific role of social support on cognition in FMS. Social support has been shown to be an essential modulator factor on cognitive performance in other diseases. Sixty-four women with FMS and 32 healthy women participated in the study and completed questionnaires pertaining to anxiety, depression, fatigue, insomnia, clinical pain, and social support, along with a neuropsychological battery assessing verbal memory, organization, strategic and planning abilities, self-regulation, processing speed, attention, and cognitive flexibility. Results showed that FMS patients exhibited lower values in all social support dimensions in comparison with healthy individuals, especially in the socializing dimension. Despite the lower social support observed in FMS, all social support dimensions showed a positive impact on verbal memory, organization and planning abilities, strategic planning, self-regulation, processing speed, attention, and cognitive flexibility in these patients. In fact, social support was associated with greater correct responses and processing speed and minor number of errors in all the neuropsychological battery tests. Socializing was the main predictor of organization and planning abilities, strategic planning, and self-regulation. In sum, results suggest that social support may be a key factor in buffering the cognitive decline observed in FMS. Designing psychoeducation programs and intervention programs directed not only to FMS patients but also relatives, health care workers, and the general population might be essential to improve the social support of FMS patients and positively impact on patient's cognitive status.
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Miao Y, Cui L, Li J, Chen Y, Xie X, Guo Q. Cognitive Improvement After Multi-Domain Lifestyle Interventions in an APOE ɛ4 Homozygous Carrier with Mild Cognitive Impairment: A Case Report and Literature Review. J Alzheimers Dis 2022; 89:1131-1142. [DOI: 10.3233/jad-220374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Alzheimer’s disease (AD) is a degenerative disease of the central nervous system with insidious onset and chronic progression. The pathogenesis of AD is complex, which is currently considered to be the result of the interaction between genetic and environmental factors. The APOE ɛ4 is the strongest genetic risk factor for sporadic AD and a risk factor for progression from mild cognitive impairment (MCI) to AD. So far, no effective drugs have been found for the progression of MCI. However, the effects of nonpharmacological interventions such as nutrition, cognitive, and physical exercises on early AD have received increasing attention. We followed up cognitive assessment scales, Aβ-PET and MRI examination of a patient with MCI for 4 years, who carried APOE ɛ4 homozygous with a clear family history. After 4 years of multi-domain lifestyle interventions including nutrition, socialization, and physical exercises, the patient’s cognitive function, especially memory function, improved significantly. Intracerebral amyloid deposition was decreased, and hippocampal atrophy improved. Based on this case, this study reviewed and discussed the interaction of APOE ɛ4 with the environment in AD research in recent years, as well as the impact and mechanisms of non-pharmaceutical multi-domain lifestyle interventions on MCI or early AD. Both the literature review and this case showed that multi-domain lifestyle interventions may reduce the risk of disease progression by reducing Aβ deposition in the brain and other different pathologic mechanisms, which offers promise in brain amyloid-positivity or APOE ɛ4 carriers.
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Affiliation(s)
- Ya Miao
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Liang Cui
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Junpeng Li
- PET Center, Fudan University Affiliated Huashan Hospital, Shanghai, China
| | - Yixin Chen
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Xiangqing Xie
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qihao Guo
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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Saiyasit N, Butlig EAR, Chaney SD, Traylor MK, Hawley NA, Randall RB, Bobinger HV, Frizell CA, Trimm F, Crook ED, Lin M, Hill BD, Keller JL, Nelson AR. Neurovascular Dysfunction in Diverse Communities With Health Disparities-Contributions to Dementia and Alzheimer's Disease. Front Neurosci 2022; 16:915405. [PMID: 35844216 PMCID: PMC9279126 DOI: 10.3389/fnins.2022.915405] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/31/2022] [Indexed: 12/13/2022] Open
Abstract
Alzheimer's disease and related dementias (ADRD) are an expanding worldwide crisis. In the absence of scientific breakthroughs, the global prevalence of ADRD will continue to increase as more people are living longer. Racial or ethnic minority groups have an increased risk and incidence of ADRD and have often been neglected by the scientific research community. There is mounting evidence that vascular insults in the brain can initiate a series of biological events leading to neurodegeneration, cognitive impairment, and ADRD. We are a group of researchers interested in developing and expanding ADRD research, with an emphasis on vascular contributions to dementia, to serve our local diverse community. Toward this goal, the primary objective of this review was to investigate and better understand health disparities in Alabama and the contributions of the social determinants of health to those disparities, particularly in the context of vascular dysfunction in ADRD. Here, we explain the neurovascular dysfunction associated with Alzheimer's disease (AD) as well as the intrinsic and extrinsic risk factors contributing to dysfunction of the neurovascular unit (NVU). Next, we ascertain ethnoregional health disparities of individuals living in Alabama, as well as relevant vascular risk factors linked to AD. We also discuss current pharmaceutical and non-pharmaceutical treatment options for neurovascular dysfunction, mild cognitive impairment (MCI) and AD, including relevant studies and ongoing clinical trials. Overall, individuals in Alabama are adversely affected by social and structural determinants of health leading to health disparities, driven by rurality, ethnic minority status, and lower socioeconomic status (SES). In general, these communities have limited access to healthcare and healthy food and other amenities resulting in decreased opportunities for early diagnosis of and pharmaceutical treatments for ADRD. Although this review is focused on the current state of health disparities of ADRD patients in Alabama, future studies must include diversity of race, ethnicity, and region to best be able to treat all individuals affected by ADRD.
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Affiliation(s)
- Napatsorn Saiyasit
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Evan-Angelo R. Butlig
- Department of Neurology, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Intellectual and Developmental Disabilities Research Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Samantha D. Chaney
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Miranda K. Traylor
- Department of Health, Kinesiology, and Sport, University of South Alabama, Mobile, AL, United States
| | - Nanako A. Hawley
- Department of Psychology, University of South Alabama, Mobile, AL, United States
| | - Ryleigh B. Randall
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Hanna V. Bobinger
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Carl A. Frizell
- Department of Physician Assistant Studies, University of South Alabama, Mobile, AL, United States
| | - Franklin Trimm
- College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Errol D. Crook
- Department of Internal Medicine, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Mike Lin
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Benjamin D. Hill
- Department of Psychology, University of South Alabama, Mobile, AL, United States
| | - Joshua L. Keller
- Department of Health, Kinesiology, and Sport, University of South Alabama, Mobile, AL, United States
| | - Amy R. Nelson
- Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, Mobile, AL, United States
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Salinas J, Beiser AS, Samra JK, O'Donnell A, DeCarli CS, Gonzales MM, Aparicio HJ, Seshadri S. Association of Loneliness With 10-Year Dementia Risk and Early Markers of Vulnerability for Neurocognitive Decline. Neurology 2022; 98:e1337-e1348. [PMID: 35131906 PMCID: PMC8967424 DOI: 10.1212/wnl.0000000000200039] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 12/27/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Loneliness is common, and its prevalence is rising. The relationship of loneliness with subsequent dementia and the early preclinical course of Alzheimer disease and related dementia (ADRD) remains unclear. Thus, the primary objective of this study was to determine the association of loneliness with 10-year all-cause dementia risk and early cognitive and neuroanatomic imaging markers of ADRD vulnerability. METHODS This was a retrospective analysis of prospectively collected data from the population-based Framingham Study cohorts (September 9, 1948-December 31, 2018). Eligible participants had loneliness assessed and were dementia-free at baseline. Loneliness was recorded with the Center for Epidemiologic Studies Depression Scale, defined conservatively as feeling lonely ≥3 days in the past week. The main outcomes were incident dementia over a 10-year period, cognition, and MRI brain volumes and white matter injury. RESULTS Of 2,308 participants (mean age 73 [SD 9] years, 56% women) who met eligibility in the dementia sample, 14% (329 of 2,308) developed dementia and 6% (144 of 2,308) were lonely. Lonely (versus not lonely) adults had higher 10-year dementia risk (age-, sex-, and education-adjusted hazard ratio 1.54, 95% CI 1.06-2.24). Lonely participants <80 years of age without APOE ε4 alleles had a 3-fold greater risk (adjusted hazard ratio 3.03, 95% CI, 1.63-5.62). Among 1,875 persons without dementia who met eligibility in the cognition sample (mean age 62 [SD 9] years, 54% women), loneliness associated with poorer executive function, lower total cerebral volume, and greater white matter injury. DISCUSSION Over 10 years of close clinical dementia surveillance in this cohort study, loneliness was associated with increased dementia risk; this tripled in adults whose baseline risk would otherwise be relatively low on the basis of age and genetic risk, representing a majority of the US population. Loneliness was also associated with worse neurocognitive markers of ADRD vulnerability, suggesting an early pathogenic role. These findings may have important clinical and public health implications given observed loneliness trends. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that loneliness increases the 10-year risk of developing dementia.
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Affiliation(s)
- Joel Salinas
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio.
| | - Alexa S Beiser
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Jasmeet K Samra
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Adrienne O'Donnell
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Charles S DeCarli
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Mitzi M Gonzales
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Hugo J Aparicio
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
| | - Sudha Seshadri
- From the Department of Neurology (J.S.), Center for Cognitive Neurology, New York University Grossman School of Medicine, New York; The Framingham Study (J.S., A.S.B., J.K.S., A.O., H.J.A., S.S.); Department of Biostatistics (A.S.B., J.K.S., A.O.), Boston University School of Public Health; Department of Neurology (A.S.B., H.J.A., S.S.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), University of California Davis; and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., S.S.), University of Texas Health Sciences Center, San Antonio
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Weinstein N, Itzchakov G, Legate N. The motivational value of listening during intimate and difficult conversations. SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS 2022. [DOI: 10.1111/spc3.12651] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Guy Itzchakov
- Department of Human Services University of Haifa Haifa Israel
| | - Nicole Legate
- Department of Psychology Illinois Institute of Technology Chicago Illinois USA
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Itzchakov G, Reis HT, Weinstein N. How to foster perceived partner responsiveness: High‐quality listening is key. SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS 2021. [DOI: 10.1111/spc3.12648] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Guy Itzchakov
- Department of Human Services University of Haifa Haifa Israel
| | - Harry T. Reis
- Department of Psychology University of Rochester Rochester New York USA
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Dominguez LJ, Veronese N, Vernuccio L, Catanese G, Inzerillo F, Salemi G, Barbagallo M. Nutrition, Physical Activity, and Other Lifestyle Factors in the Prevention of Cognitive Decline and Dementia. Nutrients 2021; 13:4080. [PMID: 34836334 PMCID: PMC8624903 DOI: 10.3390/nu13114080] [Citation(s) in RCA: 176] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 02/07/2023] Open
Abstract
Multiple factors combined are currently recognized as contributors to cognitive decline. The main independent risk factor for cognitive impairment and dementia is advanced age followed by other determinants such as genetic, socioeconomic, and environmental factors, including nutrition and physical activity. In the next decades, a rise in dementia cases is expected due largely to the aging of the world population. There are no hitherto effective pharmaceutical therapies to treat age-associated cognitive impairment and dementia, which underscores the crucial role of prevention. A relationship among diet, physical activity, and other lifestyle factors with cognitive function has been intensively studied with mounting evidence supporting the role of these determinants in the development of cognitive decline and dementia, which is a chief cause of disability globally. Several dietary patterns, foods, and nutrients have been investigated in this regard, with some encouraging and other disappointing results. This review presents the current evidence for the effects of dietary patterns, dietary components, some supplements, physical activity, sleep patterns, and social engagement on the prevention or delay of the onset of age-related cognitive decline and dementia.
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Affiliation(s)
- Ligia J. Dominguez
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
- Faculty of Medicine and Surgery, University of Enna “Kore”, 94100 Enna, Italy
| | - Nicola Veronese
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Laura Vernuccio
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Giuseppina Catanese
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Flora Inzerillo
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience, and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy;
- UOC of Neurology, University Hospital “Paolo Giaccone”, 90100 Palermo, Italy
| | - Mario Barbagallo
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
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