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Kang J, Lee M, Park M, Lee J, Lee S, Park J, Koyanagi A, Smith L, Nehs CJ, Yon DK, Kim T. Slow gut transit increases the risk of Alzheimer's disease: An integrated study of the bi-national cohort in South Korea and Japan and Alzheimer's disease model mice. J Adv Res 2024; 65:283-295. [PMID: 38097171 PMCID: PMC11518944 DOI: 10.1016/j.jare.2023.12.010] [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: 09/17/2023] [Revised: 11/20/2023] [Accepted: 12/12/2023] [Indexed: 01/02/2024] Open
Abstract
INTRODUCTION Although the association between Alzheimer's disease (AD) and constipation is controversial, its causality and underlying mechanisms remain unknown. OBJECTIVES To investigate the potential association between slow gut transit and AD using epidemiological data and a murine model. METHODS We conducted a bi-national cohort study in South Korea (discovery cohort, N=3,130,193) and Japan (validation cohort, N=4,379,285) during the pre-observation period to determine the previous diagnostic history (2009-2010) and the follow-up period (2011-2021). To evaluate the causality, we induced slow gut transit using loperamide in 5xFAD transgenic mice. Changes in amyloid-beta (Aβ) and other markers were examined using ELISA, qRT-PCR, RNA-seq, and behavioral tests. RESULTS Constipation was associated with an increased risk of AD in the discovery cohort (hazard ratio, 2.04; 95% confidence interval [CI], 2.01-2.07) and the validation cohort (hazard ratio; 2.82; 95% CI, 2.61-3.05). We found that loperamide induced slower gut transit in 5xFAD mice, increased Aβ and microglia levels in the brain, increased transcription of genes related to norepinephrine secretion and immune responses, and decreased the transcription of defense against bacteria in the colonic tissue. CONCLUSION Impaired gut transit may contribute to AD pathogenesis via the gut-brain axis, thus suggesting a cyclical relationship between intestinal barrier disruption and Aβ accumulation in the brain. We propose that gut transit or motility may be a modifiable lifestyle factor in the prevention of AD, and further clinical investigations are warranted.
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Affiliation(s)
- Jiseung Kang
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States; Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea; Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Mincheol Park
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jibeom Lee
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Sunjae Lee
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea; Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Christa J Nehs
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States; Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea; Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
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Reeves D, Morgan C, Stamate D, Ford E, Ashcroft DM, Kontopantelis E, Van Marwijk H, McMillan B. Identifying individuals at high risk for dementia in primary care: Development and validation of the DemRisk risk prediction model using routinely collected patient data. PLoS One 2024; 19:e0310712. [PMID: 39365767 PMCID: PMC11452046 DOI: 10.1371/journal.pone.0310712] [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] [Received: 05/22/2024] [Accepted: 09/05/2024] [Indexed: 10/06/2024] Open
Abstract
INTRODUCTION Health policy in the UK and globally regarding dementia, emphasises prevention and risk reduction. These goals could be facilitated by automated assessment of dementia risk in primary care using routinely collected patient data. However, existing applicable tools are weak at identifying patients at high risk for dementia. We set out to develop improved risk prediction models deployable in primary care. METHODS Electronic health records (EHRs) for patients aged 60-89 from 393 English general practices were extracted from the Clinical Practice Research Datalink (CPRD) GOLD database. 235 and 158 practices respectively were randomly assigned to development and validation cohorts. Separate dementia risk models were developed for patients aged 60-79 (development cohort n = 616,366; validation cohort n = 419,126) and 80-89 (n = 175,131 and n = 118,717). The outcome was incident dementia within 5 years and more than 60 evidence-based risk factors were evaluated. Risk models were developed and validated using multivariable Cox regression. RESULTS The age 60-79 development cohort included 10,841 incident cases of dementia (6.3 per 1,000 person-years) and the age 80-89 development cohort included 15,994 (40.2 per 1,000 person-years). Discrimination and calibration for the resulting age 60-79 model were good (Harrell's C 0.78 (95% CI: 0.78 to 0.79); Royston's D 1.74 (1.70 to 1.78); calibration slope 0.98 (0.96 to 1.01)), with 37% of patients in the top 1% of risk scores receiving a dementia diagnosis within 5 years. Fit statistics were lower for the age 80-89 model but dementia incidence was higher and 79% of those in the top 1% of risk scores subsequently developed dementia. CONCLUSION Our models can identify individuals at higher risk of dementia using routinely collected information from their primary care record, and outperform an existing EHR-based tool. Discriminative ability was greatest for those aged 60-79, but the model for those aged 80-89 may also be clinical useful.
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Affiliation(s)
- David Reeves
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
- Division of Population Health, Centre for Biostatistics, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Catharine Morgan
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Daniel Stamate
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
- Computing Department, Goldsmiths, University of London, London, United Kingdom
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Darren M. Ashcroft
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
- Division of Pharmacy and Optometry, NIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, United Kingdom
- Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Evangelos Kontopantelis
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Harm Van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Brian McMillan
- Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
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Lee H, Ahn J, Jiang C, Lee Y, Kim HC, Lee H. Post-diagnosis smoking habit change and incident dementia in cancer survivors. Alzheimers Dement 2024; 20:7013-7023. [PMID: 39118441 PMCID: PMC11485076 DOI: 10.1002/alz.14180] [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: 02/20/2024] [Revised: 06/24/2024] [Accepted: 07/16/2024] [Indexed: 08/10/2024]
Abstract
INTRODUCTION Many individuals change their smoking habits after cancer diagnosis. We aimed to evaluate the association of post-diagnosis smoking habit change with incident dementia in cancer survivors. METHODS We identified 558,127 individuals who were diagnosed with cancer at age ≥ 20 and survived for ≥ 3 years. Participants were classified into four groups: (1) sustained non-smokers, (2) initiators/relapsers, (3) quitters, and (4) continuing smokers. Dementia risk in each group was assessed using a cause-specific Cox model. RESULTS After cancer diagnosis, 2.3% of pre-diagnosis non-smokers initiated/relapsed into smoking, while 51.7% of pre-diagnosis smokers quit smoking. Compared to sustained non-smokers, multivariable-adjusted risk of dementia was 29% higher among initiators/relapsers, 11% higher among quitters, and 31% higher among continuing smokers. Compared to continuing smokers, the risk was 15% lower among quitters. DISCUSSION In cancer survivors, smoking initiation/relapse was associated with increased risk of dementia, whereas smoking cessation was associated with decreased risk of dementia. HIGHLIGHTS Approximately half of pre-diagnosis smokers quit smoking after a cancer diagnosis. Smoking cessation was associated with a 15% reduced risk of dementia. More than 2% of pre-diagnosis non-smokers initiated or relapsed into smoking after a cancer diagnosis. Smoking initiation/relapse was associated with a 29% elevated risk of dementia.
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Affiliation(s)
- Hyeok‐Hee Lee
- Department of Preventive MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Department of Internal MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Institute for Innovation in Digital HealthcareYonsei UniversitySeoulRepublic of Korea
| | - Jaeun Ahn
- Department of PsychiatryNational Health Insurance Service Ilsan HospitalGoyang‐siGyeonggi‐doRepublic of Korea
- Institute of Behavioral Science in MedicineYonsei University College of MedicineSeoulRepublic of Korea
| | - Changchuan Jiang
- Division of Hematology and OncologyDepartment of Internal MedicineUT Southwestern Medical CenterDallasTexasUSA
| | - Young‐gun Lee
- Department of NeurologyIlsan Paik HospitalInje University College of MedicineGoyang‐siGyeonggi‐doRepublic of Korea
| | - Hyeon Chang Kim
- Department of Preventive MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Department of Internal MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Institute for Innovation in Digital HealthcareYonsei UniversitySeoulRepublic of Korea
| | - Hokyou Lee
- Department of Preventive MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Department of Internal MedicineYonsei University College of MedicineSeoulRepublic of Korea
- Institute for Innovation in Digital HealthcareYonsei UniversitySeoulRepublic of Korea
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Justo AFO, Gonçalves NG, Santos ANMD, Paradela RS, Aliberti MJR, Ferri CP, Suemoto CK. Hospital admissions for dementia in the Brazilian public health system over the last decade. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70017. [PMID: 39391023 PMCID: PMC11465029 DOI: 10.1002/dad2.70017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 08/14/2024] [Accepted: 09/03/2024] [Indexed: 10/12/2024]
Abstract
OBJECTIVE The rise in dementia prevalence, particularly in lower- and middle-income countries (LMIC), places a significant burden on healthcare systems. However, comprehensive data on dementia hospital admissions are scarce. METHODS We analyzed admission rates for dementia, cost of hospital admissions, lengths of hospital stay, and in-hospital deaths in 2010 and 2019 in Brazil. RESULTS Admission rates declined from 19.7/100,000 inhabitants in 2010 to 14.6/100,000 in 2019. In-hospital mortality increased from 3.9% in 2010 to 8.8% in 2019, particularly for short-term stays. Although 9.6% of hospital admissions occurred in regions with lower economic power in 2010 and 10.4% in 2019, these regions had higher mortality, reaching 4.3% of in-hospital deaths in 2010 and 9.3% in 2019. CONCLUSION The observed trends, alongside sex and regional disparities, underscore the need for targeted investment in healthcare infrastructure and training to improve dementia care in LMIC. Highlights The rate of hospital admissions for dementia was similar in 2010 and 2019 in Brazil.The cost per hospital admission in 2010 decreased by 38.5% compared with 2019.There was an increase in short-term hospital stays for dementia in 2019 compared to 2010, accompanied by an increase in mortality rates for these short-term stays.While hospital admissions for dementia decreased in men and increased in women, the in-hospital mortality due to dementia increased for both sexes.
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Affiliation(s)
| | | | | | - Regina Silva Paradela
- Division of GeriatricsUniversity of São Paulo Medical SchoolSão PauloSão PauloBrazil
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Márlon Juliano Romero Aliberti
- Division of GeriatricsUniversity of São Paulo Medical SchoolSão PauloSão PauloBrazil
- Laboratorio de Investigacao Medica em Envelhecimento (LIM‐66), Servico de Geriatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de Sao PauloSão PauloSão PauloBrazil
| | | | - Claudia Kimie Suemoto
- Division of GeriatricsUniversity of São Paulo Medical SchoolSão PauloSão PauloBrazil
- Laboratorio de Investigacao Medica em Envelhecimento (LIM‐66), Servico de Geriatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de Sao PauloSão PauloSão PauloBrazil
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Giebel C, Silva-Ribeiro W, Watson J, Volkmer A, Chirico I, Diaz A, Heath B, Hanna K, Talbot C. A Systematic Review on the Evidence of Misdiagnosis in Dementia and Its Impact on Accessing Dementia Care. Int J Geriatr Psychiatry 2024; 39:e6158. [PMID: 39460409 DOI: 10.1002/gps.6158] [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: 07/06/2024] [Revised: 09/26/2024] [Accepted: 09/28/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Whilst there is a drive to increase diagnosis rates in dementia, there is a lack of attention on getting a correct and timely subtype diagnosis. For people with a rarer subtype of dementia, getting the correct diagnosis, and subsequent care, might be more difficult than for people aged 65+ presenting with the more common symptoms of Alzheimer's disease dementia. Thus, the aim of this mixed-method systematic review was to synthesise the evidence base on misdiagnosis of dementia. METHODS Misdiagnosis in dementia was defined as either receiving an initial incorrect dementia subtype diagnosis or receiving an incorrect non-dementia diagnosis. Post-mortem assessments of subtype diagnosis were excluded. Nine databases were searched in June 2023, with screening of titles and abstracts and consequent full texts completed independently by two researchers. Findings were synthesised using narrative synthesis. RESULTS Twenty studies were included. Studies were categorised into four themes: (i) Factors associated with delayed diagnosis or misdiagnosis; (ii) Difficulties related to the diagnostic process; (iii) Economic consequences of misdiagnosis; and (iv) Experiences of delayed diagnosis or help-seeking. People with Lewy Body dementia or behavioural variant fronto-temporal dementia were found to experience longer diagnosis times and often incorrect initial diagnoses. Whilst evidence is limited regarding the economic impacts, evidence from the US points towards increased economic costs of misdiagnosis. CONCLUSIONS There is an urgent need to investigate the rates and emotional and economic impacts of misdiagnosis on people with dementia, their carers, and the health and social care system. Advancing the evidence base is crucial to reduce misdiagnosis and inform clinical practice.
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Affiliation(s)
- Clarissa Giebel
- Department of Primary Care & Mental Health, University of Liverpool, Liverpool, UK
- NIHR Applied Research Collaboration North West Coast, Liverpool, UK
| | - Wagner Silva-Ribeiro
- Care Policy and Evaluation Centre, London School of Economic and Political Science, London, UK
| | - James Watson
- Department of Primary Care & Mental Health, University of Liverpool, Liverpool, UK
| | - Anna Volkmer
- Department of Psychology and Language Sciences, University College London, London, UK
| | - Ilaria Chirico
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Ana Diaz
- Alzheimer Europe, Luxembourg, Luxembourg
| | | | - Kerry Hanna
- School of Health Sciences, University of Liverpool, Liverpool, UK
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Wang B, Ma T, Yang L, He S, Li J, Sun X. Association between coffee and tea consumption and the risk of dementia in individuals with hypertension: a prospective cohort study. Sci Rep 2024; 14:21063. [PMID: 39256489 PMCID: PMC11387621 DOI: 10.1038/s41598-024-71426-y] [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: 05/31/2024] [Accepted: 08/28/2024] [Indexed: 09/12/2024] Open
Abstract
Many studies have shown that drinking coffee and tea may be associated with the risk of hypertension and dementia. Limited research exists on their impact on dementia risk in hypertensive patients. This study aimed to determine the association between coffee and tea consumption and the risk of dementia development in hypertensive population by utilizing Cox proportional risk modeling with 453,913 participants from a UK biobank. Our findings reveal a J-shaped and U-shaped association between the risk of all-cause dementia and the consumption of coffee and tea respectively in hypertensive people. The hypertensive patients who drink 0.5-1 cup of coffee or 4-5 cups of tea per day have the lowest risk of dementia. A U-shaped relationship was observed between daily caffeine consumption and the risk of developing all-cause dementia and vascular dementia in the hypertensive population. Furthermore, the significant association between the amount of coffee and tea consumed and the risk of all-cause and vascular dementia were more likely to be found in hypertensive patients than in the non-hypertensive population.
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Affiliation(s)
- Bo Wang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China
| | - Ting Ma
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China
| | - Lingling Yang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China
| | - Shulan He
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China
| | - Jiangping Li
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China
| | - Xian Sun
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University , Yinchuan, 750004, China.
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Gao Y, Lei G, Xie J. Response to Letter to the Editor. Am J Geriatr Psychiatry 2024; 32:1178-1179. [PMID: 38955650 DOI: 10.1016/j.jagp.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 07/04/2024]
Affiliation(s)
- Yaqing Gao
- Nuffield Department of Population Health (YG), University of Oxford, Oxford, UK; Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford (JX), NDORMS, University of Oxford, Oxford, UK; Department of Orthopaedics, Xiangya Hospital (GL), Central South University, Changsha, China
| | - Guanghua Lei
- Nuffield Department of Population Health (YG), University of Oxford, Oxford, UK; Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford (JX), NDORMS, University of Oxford, Oxford, UK; Department of Orthopaedics, Xiangya Hospital (GL), Central South University, Changsha, China.
| | - Junqing Xie
- Nuffield Department of Population Health (YG), University of Oxford, Oxford, UK; Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford (JX), NDORMS, University of Oxford, Oxford, UK; Department of Orthopaedics, Xiangya Hospital (GL), Central South University, Changsha, China
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Gao Y, Amin N, van Duijn C, Littlejohns TJ. Association of neuroticism with incident dementia, neuroimaging outcomes, and cognitive function. Alzheimers Dement 2024; 20:5578-5589. [PMID: 38984680 PMCID: PMC11350007 DOI: 10.1002/alz.14071] [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: 03/04/2024] [Revised: 05/01/2024] [Accepted: 05/21/2024] [Indexed: 07/11/2024]
Abstract
INTRODUCTION Higher neuroticism might be associated with dementia risk. Here we investigated modification by genetic predisposition to dementia, mediation by mental health and vascular conditions, neuroimaging outcomes, and cognitive function. METHODS Cox proportional-hazards models were used to assess the association between neuroticism score and incident dementia over up to 15 years in 1,74,164 participants. Cross-sectional analyses on dementia-related neuroimaging outcomes and cognitive function were conducted in 39,459 dementia-free participants. RESULTS Higher neuroticism was associated with an 11% higher risk of incident dementia, especially vascular dementia (15% higher risk), regardless of genetic predisposition to dementia. Mental and vascular conditions mediated the association of neuroticism with all-cause dementia and vascular dementia. Neuroticism was associated with higher cerebrovascular pathology, lower gray matter volume, and worse function across multiple cognitive domains. DISCUSSION Neuroticism could represent a risk factor for dementia, and vascular and mental health might drive these associations. HIGHLIGHTS Neuroticism was associated with an increased risk of incident all-cause dementia, particularly vascular dementia. Associations were not modified by genetic predisposition to dementia. Associations were largely mediated by mental and vascular conditions. Neuroticism was associated with increased cerebrovascular pathology and lower gray matter volume. Neuroticism was associated with worse function across multiple cognitive domains.
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Affiliation(s)
- Yaqing Gao
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Najaf Amin
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
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Jin J, Sommerlad A, Mukadam N. Association between adult education, brain volume and dementia risk: longitudinal cohort study of UK Biobank participants. GeroScience 2024:10.1007/s11357-024-01285-y. [PMID: 39028453 DOI: 10.1007/s11357-024-01285-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 07/10/2024] [Indexed: 07/20/2024] Open
Abstract
Less childhood education is a potentially modifiable risk factor for developing incident dementia but it is not known if education in later life is protective. We sought to add to previous work by testing the association between adult education and brain volume as well as exploring the impact of continuing adult education versus intermittent participation. We used data from participants of the UK Biobank cohort, with no prevalent dementia who were asked about adult education participation at baseline and at follow-up. Dementia status was ascertained from self-report or electronic health records. Cox proportional hazards models were built to estimate hazard ratios (HRs) between participation in adult education and dementia risk. In 499,337 participants aged between 40 and 69 at baseline with 13.2 years mean follow-up, in analyses adjusted for age, sex, education, deprivation, ethnicity, hypertension, diabetes, ethnicity, obesity, smoking, alcohol use, physical inactivity and social isolation, we replicated previous findings of a protective effect of adult education on dementia risk (HR 0.82, 95% CI 0.74-0.90, P < 0.001), and showed a trend towards protection against dementia if adult education was continued rather than intermittent. Additionally, adult education did not impact on total brain volume (coefficient - 657.4, 95% CI - 2795.1 to 1480.3, P = 0.547) but it was associated with increased hippocampal volume (coefficient 33.9, 95% CI 8.9 to 59.0, P = 0.008) indicating a potential mechanism for protection against dementia. We have added evidence indicating that continuing adult education participation may be beneficial, although numbers for this analysis were very small. Analysis of brain volume indicated that adult education may have a protective effect by preserving hippocampal size or slowing volume loss, in line with the cognitive reserve hypothesis.
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Affiliation(s)
- Jiayin Jin
- Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK.
- Camden and Islington NHS Foundation Trust, London, UK.
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Hillari L, Frank P, Cadar D. Systemic inflammation, lifestyle behaviours and dementia: A 10-year follow-up investigation. Brain Behav Immun Health 2024; 38:100776. [PMID: 38706574 PMCID: PMC11068506 DOI: 10.1016/j.bbih.2024.100776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 03/17/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024] Open
Abstract
Objectives Lifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association. Methods The sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13. Results Binary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein. Conclusions Co-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.
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Affiliation(s)
- Leah Hillari
- Behavioural Science and Health, University College London, London, UK
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Philipp Frank
- Behavioural Science and Health, University College London, London, UK
- UCL Brain Sciences, University College London, London, UK
| | - Dorina Cadar
- Behavioural Science and Health, University College London, London, UK
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, UK
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Bao X, Kang L, Yin S, Engström G, Wang L, Xu W, Xu B, Zhang X, Zhang X. Association of MAFLD and MASLD with all-cause and cause-specific dementia: a prospective cohort study. Alzheimers Res Ther 2024; 16:136. [PMID: 38926784 PMCID: PMC11201326 DOI: 10.1186/s13195-024-01498-5] [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: 02/15/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Liver disease and dementia are both highly prevalent and share common pathological mechanisms. We aimed to investigate the associations between metabolic dysfunction-associated fatty liver disease (MAFLD), metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of all-cause and cause-specific dementia. METHODS We conducted a prospective study with 403,506 participants from the UK Biobank. Outcomes included all-cause dementia, Alzheimer's disease, and vascular dementia. Multivariable Cox proportional hazards models were used for analyses. RESULTS 155,068 (38.4%) participants had MAFLD, and 111,938 (27.7%) had MASLD at baseline. During a median follow-up of 13.7 years, 5,732 participants developed dementia (2,355 Alzheimer's disease and 1,274 vascular dementia). MAFLD was associated with an increased risk of vascular dementia (HR 1.32 [95% CI 1.18-1.48]) but a reduced risk of Alzheimer's disease (0.92 [0.84-1.0]). Differing risks emerged among MAFLD subtypes, with the diabetes subtype increasing risk of all-cause dementia (1.8 [1.65-1.96]), vascular dementia (2.95 [2.53-3.45]) and Alzheimer's disease (1.46 [1.26-1.69]), the lean metabolic disorder subtype only increasing vascular dementia risk (2.01 [1.25-3.22]), whereas the overweight/obesity subtype decreasing risk of Alzheimer's disease (0.83 [0.75-0.91]) and all-cause dementia (0.9 [0.84-0.95]). MASLD was associated with an increased risk of vascular dementia (1.24 [1.1-1.39]) but not Alzheimer's disease (1.0 [0.91-1.09]). The effect of MAFLD on vascular dementia was consistent regardless of MASLD presence, whereas associations with Alzheimer's disease were only present in those without MASLD (0.78 [0.67-0.91]). CONCLUSIONS MAFLD and MASLD are associated with an increased risk of vascular dementia, with subtype-specific variations observed in dementia risks. Further research is needed to refine MAFLD and SLD subtyping and explore the underlying mechanisms contributing to dementia risk.
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Affiliation(s)
- Xue Bao
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Lina Kang
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Songjiang Yin
- Departments of Orthopedics, Jiangsu Province Hospital of Chinese Medicine, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Lian Wang
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Wei Xu
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Biao Xu
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China.
| | - Xiaowen Zhang
- Department of Endocrinology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
- Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Xinlin Zhang
- Department of Cardiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China.
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Shi X, Wu Y, Wang H, He X, Zhang X, Pu L, Pan D, Li J. Hidden dangers: Does multisensory impairments accompanying visual impairment increase dementia risk. J Psychiatr Res 2024; 174:275-282. [PMID: 38678684 DOI: 10.1016/j.jpsychires.2024.04.041] [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: 11/17/2023] [Revised: 03/29/2024] [Accepted: 04/22/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Growing evidence suggests that sensory impairment, particularly in the form of visual impairment, may contribute to the development of dementia. However, it remains unclear whether experiencing concurrent visual impairment in combination with other types of multisensory impairments may further increase this risk. METHODS The study used data from the UK Biobank cohort study, which recruited 500,000 adults. With meticulous screening procedures in place, individuals with visual impairment, hearing impairment, and oral health issues were identified for further follow-up evaluations. A multivariable regression analysis was conducted to investigate the relationship between multisensory impairments concurrent with visual impairment and cognitive function. Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals to evaluate the association between multisensory impairments concurrent with visual impairment and dementia risk. RESULTS Subjects experiencing multisensory impairments concurrent with visual impairment demonstrated a negative association with cognitive function. Notably, individuals who have both vision and hearing impairments had a significantly higher risk of developing dementia (HR 1.28, 95% CI [1.01-1.63]). Additionally, individuals who experience vision impairment and oral health issues simultaneously were also at higher risk for dementia (HR 1.61, 95% CI [1.32-1.97]). Furthermore, the risk of dementia among individuals with vision impairment, hearing impairment, and oral health issues further escalated to an even higher level (HR 1.63, 95% CI [1.19-2.24]). CONCLUSIONS The correlation between the presence of multisensory impairments concurrent with visual impairment and cognitive decline is highly significant. Those with multisensory impairments concurrent with visual impairment are at a significantly increased risk of developing dementia.
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Affiliation(s)
- Xiaojuan Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Yueping Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Huihui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Xiaoxue He
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Xue Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Lining Pu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Degong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Jiangping Li
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, 750004, China.
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Bell G, El Baou C, Saunders R, Buckman JEJ, Charlesworth G, Richards M, Fearn C, Brown B, Nurock S, Michael S, Ware P, Marchant NL, Aguirre E, Rio M, Cooper C, Pilling S, John A, Stott J. Predictors of primary care psychological therapy outcomes for depression and anxiety in people living with dementia: evidence from national healthcare records in England. Br J Psychiatry 2024; 224:205-212. [PMID: 38328941 DOI: 10.1192/bjp.2024.12] [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] [Indexed: 02/09/2024]
Abstract
BACKGROUND Psychological therapies can be effective in reducing symptoms of depression and anxiety in people living with dementia (PLWD). However, factors associated with better therapy outcomes in PLWD are currently unknown. AIMS To investigate whether dementia-specific and non-dementia-specific factors are associated with therapy outcomes in PLWD. METHOD National linked healthcare records were used to identify 1522 PLWD who attended psychological therapy services across England. Associations between various factors and therapy outcomes were explored. RESULTS People with frontotemporal dementia were more likely to experience reliable deterioration in depression/anxiety symptoms compared with people with vascular dementia (odds ratio 2.98, 95% CI 1.08-8.22; P = 0.03) or Alzheimer's disease (odds ratio 2.95, 95% CI 1.15-7.55; P = 0.03). Greater depression severity (reliable recovery: odds ratio 0.95, 95% CI 0.92-0.98, P < 0.001; reliable deterioration: odds ratio 1.73, 95% CI 1.04-2.90, P = 0.04), lower work and social functioning (recovery: odds ratio 0.98, 95% CI 0.96-0.99, P = 0.002), psychotropic medication use (recovery: odds ratio 0.67, 95% CI 0.51-0.90, P = 0.01), being of working age (recovery: odds ratio 2.03, 95% CI 1.10-3.73, P = 0.02) and fewer therapy sessions (recovery: odds ratio 1.12, 95% CI 1.09-1.16, P < 0.001) were associated with worse therapy outcomes in PLWD. CONCLUSIONS Dementia type was generally not associated with outcomes, whereas clinical factors were consistent with those identified for the general population. Additional support and adaptations may be required to improve therapy outcomes in PLWD, particularly in those who are younger and have more severe depression.
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Affiliation(s)
- Georgia Bell
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Celine El Baou
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Rob Saunders
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK; and Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Joshua E J Buckman
- Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, UK; and iCope Psychological Therapies Service, Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Georgina Charlesworth
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, UK
| | - Caroline Fearn
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Barbara Brown
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Shirley Nurock
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Stuart Michael
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Paul Ware
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | | | - Elisa Aguirre
- Redbridge Talking Therapies Service, North East London NHS Foundation Trust, UK
| | - Miguel Rio
- Department of Electronic and Electrical Engineering, University College London, UK
| | - Claudia Cooper
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University, UK
| | - Stephen Pilling
- Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, UK; and Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Amber John
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Joshua Stott
- Adapt Lab, Research Department of Clinical, Educational and Health Psychology, University College London, UK
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Garner A, Preston N, Caiado CCS, Stubington E, Hanratty B, Limb J, Mason SM, Knight J. Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data. BMC Geriatr 2024; 24:449. [PMID: 38783195 PMCID: PMC11112834 DOI: 10.1186/s12877-024-05062-6] [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] [Received: 06/27/2023] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Healthcare in care homes during the COVID-19 pandemic required a balance, providing treatment while minimising exposure risk. Policy for how residents should receive care changed rapidly throughout the pandemic. A lack of accessible data on care home residents over this time meant policy decisions were difficult to make and verify. This study investigates common patterns of healthcare utilisation for care home residents in relation to COVID-19 testing events, and associations between utilisation patterns and resident characteristics. METHODS Datasets from County Durham and Darlington NHS Foundation Trust including secondary care, community care and a care home telehealth app are linked by NHS number used to define daily healthcare utilisation sequences for care home residents. We derive four 10-day sets of sequences related to Pillar 1 COVID-19 testing; before [1] and after [2] a resident's first positive test and before [3] and after [4] a resident's first test. These sequences are clustered, grouping residents with similar healthcare patterns in each set. Association of individual characteristics (e.g. health conditions such as diabetes and dementia) with healthcare patterns are investigated. RESULTS We demonstrate how routinely collected health data can be used to produce longitudinal descriptions of patient care. Clustered sequences [1,2,3,4] are produced for 3,471 care home residents tested between 01/03/2020-01/09/2021. Clusters characterised by higher levels of utilisation were significantly associated with higher prevalence of diabetes. Dementia is associated with higher levels of care after a testing event and appears to be correlated with a hospital discharge after a first test. Residents discharged from inpatient care within 10 days of their first test had the same mortality rate as those who stayed in hospital. CONCLUSION We provide longitudinal, resident-level data on care home resident healthcare during the COVID-19 pandemic. We find that vulnerable residents were associated with higher levels of healthcare usage despite the additional risks. Implications of findings are limited by the challenges of routinely collected data. However, this study demonstrates the potential for further research into healthcare pathways using linked, routinely collected datasets.
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Affiliation(s)
- Alex Garner
- Lancaster Medical School, Lancaster University, Lancashire, England.
| | - Nancy Preston
- Division of Health Research, Lancaster University, Lancashire, England
| | - Camila C S Caiado
- Department of Mathematical Sciences, Durham University, Durham, England
| | - Emma Stubington
- Lancaster Medical School, Lancaster University, Lancashire, England
| | - Barbara Hanratty
- Population Health Sciences Institute, Newcastle University, Newcastle, England
| | - James Limb
- County Durham and Darlington NHS Foundation Trust, Darlington, England
| | - Suzanne M Mason
- School of Health and Related Research, The University of Sheffield, South Yorkshire, England
| | - Jo Knight
- Lancaster Medical School, Lancaster University, Lancashire, England
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van der Heide FC, Valeri L, Dugravot A, Danilevicz I, Landre B, Kivimaki M, Sabia S, Singh-Manoux A. Role of cardiovascular health factors in mediating social inequalities in the incidence of dementia in the UK: two prospective, population-based cohort studies. EClinicalMedicine 2024; 70:102539. [PMID: 38516105 PMCID: PMC10955651 DOI: 10.1016/j.eclinm.2024.102539] [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: 11/15/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/23/2024] Open
Abstract
Background The contribution of modifiable risk factors to social inequalities in dementia, observed in longitudinal studies, remains unclear. We aimed to quantify the role of cardiovascular health factors, assessed using Life's Essential 8 (LE8) score, in mediating social inequalities in incidence of dementia and, for comparison, in incidence of stroke, coronary heart disease, and mortality. Methods In this prospective, population-based cohort study, we collected data from the UK Whitehall II Study and UK Biobank databases. Participants were included if data were available on SEP, outcomes and LE8 (smoking, physical activity, diet, body mass index, blood pressure, fasting blood glucose, lipid levels, sleep duration). The primary outcome was incident dementia and secondary outcomes were stroke, coronary heart disease, and mortality. Outcomes were derived from electronic healthcare records. Socioeconomic position (SEP) was measured by occupation in Whitehall II and education in UK Biobank. Counterfactual mediation analysis was used to quantify the extent to which LE8 score explained the associations of SEP with all outcomes. Analyses involved Cox regression, accelerated failure time models, and linear regression; and were adjusted for age, sex, and ethnicity. Findings Between 10.09.1985 and 29.03.1988, a total of 9688 participants (mean age ± SD 44.9 ± 6.0; 67% men) from the Whitehall II study, and between 19.12.2006 and 01.10.2010, 278,215 participants (mean age ± SD 56.0 ± 8.1; 47% men) from the UK Biobank were included. There were 606 and 4649 incident dementia cases over a median (interquartile range) follow-up of 31.7 (31.1-32.7) and 13.5 (12.7-14.1) years respectively in Whitehall II and UK Biobank. In Whitehall II, the hazard ratio was 1.85 [95% CI 1.42, 2.32] for the total effect of SEP on dementia and 1.20 [1.12, 1.28] for the indirect effect via the LE8, the proportion mediated being 36%. In UK Biobank, the total effect of SEP on dementia was 1.65 [1.54, 1.78]; the indirect effect was 1.11 [1.09, 1.12], and the proportion mediated was 24%. The proportions mediated for stroke, coronary heart disease, and mortality were higher, ranging between 34% and 63% in Whitehall II and between 36% and 50% in UK Biobank. Interpretation In two well-characterised cohort studies, up to one third of the social inequalities in incidence of dementia was attributable to cardiovascular health factors. Promotion of cardiovascular health in midlife may contribute to reducing social inequalities in risk of dementia, in addition to cardiovascular diseases and all-cause mortality. This study used adult measures of SEP, further research is warranted using lifecourse measures of SEP. Funding NIH (RF1AG062553).
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Affiliation(s)
- Frank C.T. van der Heide
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Linda Valeri
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aline Dugravot
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Ian Danilevicz
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Benjamin Landre
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Mika Kivimaki
- Faculty of Brain Sciences, University College London, UK
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Séverine Sabia
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Faculty of Brain Sciences, University College London, UK
| | - Archana Singh-Manoux
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Faculty of Brain Sciences, University College London, UK
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Enderami A, Rashedi V, Malakouti SK, Shariati B, Birgani NF, Gharaeipour M, Kodan Z, Pourshams M. Dementia prevalence among hospitalized older patients: a multicenter study in Iran. Dement Neuropsychol 2024; 18:e20230083. [PMID: 38469122 PMCID: PMC10926988 DOI: 10.1590/1980-5764-dn-2023-0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/15/2023] [Indexed: 03/13/2024] Open
Abstract
Dementia poses a significant societal and health challenge in the 21st century, with many hospitalized patients experiencing dementia without a documented diagnosis. Objective To evaluate the prevalence of dementia and its associated risk factors among older patients admitted to hospitals. Methods The study included older patients (≥ 60 years) admitted to medical departments of a general hospital in three major Iranian cities. Researchers utilized the Activities of Daily Living-Instrumental Activities of Daily Living (ADL-IADL) scale, the Geriatric Depression Scale (GDS), the Mini-Cog test, the 4 A's test (4AT), and the Abbreviated Mental Test Score (AMTS). Among the 420 recruited older inpatients, 228 (54.3%) were female. Results The mean age of participants was 71.39 years (standard deviation ±7.95), with 30.7% diagnosed with major neurocognitive disorder (dementia). The likelihood of dementia exhibited statistically significant correlations with gender, age, number of children, and occupation. Conclusions Screening older individuals for cognitive impairment upon hospital admission holds the potential to prevent adverse outcomes and enhance the quality of treatment for patients concurrently dealing with dementia.
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Affiliation(s)
- Athena Enderami
- Mazandaran University of Medical Sciences, Faculty of Medicine, Department of Psychiatry, Sari, Mazandaran, Iran
| | - Vahid Rashedi
- University of Social Welfare and Rehabilitation Sciences, Iranian Research Center on Aging, Department of Aging, Tehran, Iran
| | - Seyed Kazem Malakouti
- Iran University of Medical Sciences, Director School of Behavioral Sciences and Mental Health, Tehran, Iran
| | - Behnam Shariati
- Iran University of Medical Sciences, School of Medicine, Psychosocial Health Research Institute, Mental Health Research Center, Department of Psychiatry, Tehran, Iran
| | | | | | - Zeinab Kodan
- Department of Psychiatry, Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences and Health Service, Sari, Mazandaran, Iran
| | - Maryam Pourshams
- Department of Psychiatry, Golestan Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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van Gennip ACE, van Sloten TT, Fayosse A, Sabia S, Singh‐Manoux A. Age at cardiovascular disease onset, dementia risk, and the role of lifestyle factors. Alzheimers Dement 2024; 20:1693-1702. [PMID: 38085549 PMCID: PMC10947967 DOI: 10.1002/alz.13562] [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: 05/12/2023] [Revised: 09/25/2023] [Accepted: 11/01/2023] [Indexed: 01/18/2024]
Abstract
INTRODUCTION We first examined the role of age at cardiovascular disease (CVD) onset for incident dementia, and then examined whether lifestyle factors at guideline-recommended levels in individuals with CVD mitigates dementia risk. METHODS We used population-based data (Whitehall II: n = 10,308/baseline 1985-1988/examinations every 4-5 years). Lifestyle factors (non-smoking, body mass index [BMI], physical activity, diet) were extracted post-CVD. RESULTS Over a median of 31.6 years, 3275 (32.1%) developed CVD. At age 70, risk of dementia was higher in individuals with CVD onset before (hazard ratio [HR] of incident dementia for participants with CVD before age 60, using participants without CVD at age 70 as the reference: 1.56, 95% confidence interal [CI] 1.18-2.08) but not after 60 years. In participants with CVD, a greater number of lifestyle factors at recommended levels post-CVD was associated with a lower dementia risk (per lifestyle factor at recommended level HR: 0.73, 95% CI 0.59-0.92). DISCUSSION Our results suggest that early onset CVD is associated with a higher dementia risk at older ages. In those with CVD, the dementia risk was lower if lifestyle factors are at recommended levels following CVD diagnosis. HIGHLIGHTS CVD in midlife but not in late life is associated with a higher risk of dementia. Dementia risk in CVD patients is lower if their lifestyle factors are at recommended levels. These findings provide evidence to promote CVD prevention in midlife or earlier. Study findings also show the importance of a healthy lifestyle in those with CVD.
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Affiliation(s)
- April C. E. van Gennip
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Department of Internal MedicineMaastricht University Medical CentreMaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Thomas T. van Sloten
- Department of Vascular MedicineUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Aurore Fayosse
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
| | - Séverine Sabia
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Archana Singh‐Manoux
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Faculty of Brain SciencesUniversity College LondonLondonUK
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Korologou-Linden R, Kalsi J, Kafetsouli D, Olawale A, Iwata A, Wingfield D, Mummery D, Hayhoe B, Robinson O, Majeed A, Middleton LT. Novel Blood-Based Biomarkers and Disease Modifying Therapies for Alzheimer's Disease. Are We Ready for the New Era? J Prev Alzheimers Dis 2024; 11:897-902. [PMID: 39044500 PMCID: PMC11266440 DOI: 10.14283/jpad.2024.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 03/17/2024] [Indexed: 07/25/2024]
Abstract
Recent positive trials for novel disease modifying therapies of anti-amyloid monoclonal antibodies represent a paradigm shift in the prevention and management of Alzheimer's disease, a relentlessly progressive and debilitating disease of old age. The reported efficacy of these new agents when given early in the disease trajectory is dependent on an early and accurate disease diagnosis, which is currently based on cerebrospinal fluid tests or/and neuro-imaging studies such as positron emission tomography. These confirmatory tests provide in vivo evidence of the pathological signature of Alzheimer's disease, of increased cerebral amyloid and tau burden and neurodegeneration. The emergence of blood-based biomarkers represents another breakthrough, offering a less invasive and scalable diagnostic tool that could be applied in both primary and specialist care settings, potentially revolutionizing Alzheimer's disease clinical pathways. However, healthcare systems face challenges in the adoption of these new technologies and therapies due to diagnostic and treatment capacity constraints, as well as financial and infrastructure requirements.
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Affiliation(s)
- R Korologou-Linden
- Roxanna Korologou-Linden, Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, 11th Floor, Charing Cross Hospital Campus, W6 8RP, , Tel: +44 20 3311 0208
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Hassen CB, Machado‐Fragua MD, Landré B, Fayosse A, Dumurgier J, Kivimaki M, Sabia S, Singh‐Manoux A. Change in lipids before onset of dementia, coronary heart disease, and mortality: A 28-year follow-up Whitehall II prospective cohort study. Alzheimers Dement 2023; 19:5518-5530. [PMID: 37243914 PMCID: PMC10679471 DOI: 10.1002/alz.13140] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/07/2023] [Indexed: 05/29/2023]
Abstract
INTRODUCTION The association of lipids with dementia remains a subject of debate. Using data from 7,672 participants of the Whitehall II prospective cohort study, we examined whether timing of exposure, length of follow-up, or sex modifies this association. METHODS Twelve markers of lipid levels were measured from fasting blood and eight among them a further five times. We performed time-to-event as well as trajectory analyses. RESULTS No associations were observed in men; in women most lipids were associated with the risk of dementia, but only for events occurring after the first 20 years of follow-up. Differences in lipid trajectories in men emerged only in the years immediately before diagnosis whereas in women total cholesterol (TC), LDL-cholesterol (LDL-C), non-HDL-cholesterol (non-HDL-C), TC/HDL-C, and LDL-C/HDL-C were higher in midlife among dementia cases before declining progressively. DISCUSSION Abnormal lipid levels in midlife seem to be associated with a higher risk of dementia in women.
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Affiliation(s)
- Céline Ben Hassen
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Marcos D Machado‐Fragua
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Benjamin Landré
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Aurore Fayosse
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Julien Dumurgier
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Cognitive Neurology Center, Lariboisière – Fernand Widal Hospital, AP‐HPUniversité Paris CitéParisFrance
| | - Mika Kivimaki
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Séverine Sabia
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Archana Singh‐Manoux
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
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20
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Machado-Fragua MD, Sabia S, Fayosse A, Hassen CB, van der Heide F, Kivimaki M, Singh-Manoux A. Is metabolic-healthy obesity associated with risk of dementia? An age-stratified analysis of the Whitehall II cohort study. BMC Med 2023; 21:436. [PMID: 37957712 PMCID: PMC10644649 DOI: 10.1186/s12916-023-03155-4] [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: 04/19/2023] [Accepted: 11/06/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Metabolically healthy obesity is hypothesized to be a benign condition but whether this is the case for dementia remains debated. We examined the role of age at assessment of metabolic-obesity phenotypes in associations with incident dementia. METHODS Obesity (body mass index ≥ 30 kg/m2) and poor metabolic health (≥ 2 of elevated serum triglycerides, low HDL-C, elevated blood pressure, and elevated serum fasting glucose) were used to define four metabolic-obesity phenotypes (metabolically healthy (MHNO) and unhealthy non-obesity (MUNO), metabolically healthy (MHO) and unhealthy obesity (MUO)) at < 60, 60 to < 70, and ≥ 70 years using 6 waves of data from the Whitehall II study and their associations with incident dementia was examined using Cox regression. RESULTS Analyses with exposures measured < 60, 60 to < 70, and ≥ 70 years involved 410 (5.8%), 379 (5.6%), and 262 (7.4%) incident dementia cases over a median follow-up of 20.8, 10.3, and 4.2 years respectively. In analyses of individual components, obesity before 60 years (HR 1.41, 95% CI: [1.08, 1.85]) but not at older ages was associated with dementia; unhealthy metabolic status when present < 60 years (HR 1.33, 95% CI: [1.08, 1.62]) and 60 to < 70 years (HR 1.32, 95% CI: [1.07, 1.62]) was associated with dementia. Compared to the metabolically healthy non-obesity group, the risk of dementia was higher in those with metabolically healthy obesity before 60 years (1.69; 95% CI: [1.16, 2.45]); this was not the case when metabolic-obesity phenotype was present at 60 to < 70 years or ≥ 70 years. Analyses at older ages were on smaller numbers due to death and drop-out but inverse probability weighting to account for missing data yielded similar results. CONCLUSIONS Individuals with metabolically healthy obesity before age 60 had a higher risk of incident dementia over a 27-year follow-up; the excess risk dissipates when metabolic health and obesity are measured after 70 years.
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Affiliation(s)
- Marcos D Machado-Fragua
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.
| | - Séverine Sabia
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Faculty of Brain Sciences, University College London, London, UK
| | - Aurore Fayosse
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Céline Ben Hassen
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Frank van der Heide
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Mika Kivimaki
- Faculty of Brain Sciences, University College London, London, UK
| | - Archana Singh-Manoux
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Faculty of Brain Sciences, University College London, London, UK
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Hao W, Fu C, Dong C, Zhou C, Sun H, Xie Z, Zhu D. Age at menopause and all-cause and cause-specific dementia: a prospective analysis of the UK Biobank cohort. Hum Reprod 2023; 38:1746-1754. [PMID: 37344154 PMCID: PMC10663050 DOI: 10.1093/humrep/dead130] [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: 10/04/2022] [Revised: 05/25/2023] [Indexed: 06/23/2023] Open
Abstract
STUDY QUESTION Are there associations between natural or surgical menopause and incident dementia by age at menopause? SUMMARY ANSWER Compared to age at menopause of 46-50 years, earlier natural menopause (≤40 and 41-45 years) was related to higher risk of all-cause dementia, while a U-shape relationship was observed between age at surgical menopause and risk of dementia. WHAT IS KNOWN ALREADY Menopause marks the end of female reproductive period. Age at menopause reflects the length of exposure to endogenous estrogen. Evidence on the association between age at natural, surgical menopause, and risk of dementia has been inconsistent. STUDY DESIGN, SIZE, DURATION A population-based cohort study involving 160 080 women who participated in the UK Biobank study. PARTICIPANTS/MATERIALS, SETTING, METHODS Women with no dementia at baseline, and had no missing data on key exposure variables and covariates were included. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs on the association of categorical menopause age with incident all-cause dementia, Alzheimer's disease (AD) and vascular dementia (VD). Restricted cubic splines were used to model the non-linear relationship between continuous age at natural, surgical menopause, and risk of dementia. In addition, we analyzed the interaction effect of ever-used menopausal hormone therapy (MHT) at baseline, income level, leisure activities, and age at menopause on risk of dementia. MAIN RESULTS AND THE ROLE OF CHANCE Compared to women with age at menopause of 46-50 years, women with earlier natural menopause younger than 40 years (1.36, 1.01-1.83) and 41-45 years (1.19, 1.03-1.39) had a higher risk of all-cause dementia, while late natural menopause >55 years was linked to lower risk of dementia (0.83, 0.71-0.98). Compared to natural menopause, surgical menopause was associated with 10% higher risk of dementia (1.10, 0.98-1.24). A U-shape relationship was observed between surgical menopause and risk of dementia. Women with surgical menopause before age 40 years (1.94, 1.38-2.73) and after age 55 years (1.65, 1.21-2.24) were both linked to increased risk of all-cause dementia. Women with early natural menopause without ever taking MHT at baseline had an increased risk of AD. Also, in each categorized age at the menopause level, higher income level or higher number of leisure activities was linked to a lowers risk of dementia. LIMITATIONS, REASONS FOR CAUTION Menopausal age was based on women's self-report, which might cause recall bias. WIDER IMPLICATION OF THE FINDINGS Women who experienced natural menopause or had surgical menopause at an earlier age need close monitoring and engagement for preventive health measures to delay the development of dementia. STUDY FUNDING/COMPETING INTERESTS This work was supported by the Start-up Foundation for Scientific Research in Shandong University (202099000066), Science Fund Program for Excellent Young Scholars of Shandong Provence (Overseas) (2022HWYQ-030), and the National Natural Science Foundation of China (82273702). There are no competing interests. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Wenting Hao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Chunying Fu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Caiyun Dong
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chunmiao Zhou
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Huizi Sun
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ziwei Xie
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dongshan Zhu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
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22
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Yorganci E, Sleeman KE, Sampson EL, Stewart R. Survival and critical care use among people with dementia in a large English cohort. Age Ageing 2023; 52:afad157. [PMID: 37678881 PMCID: PMC10484725 DOI: 10.1093/ageing/afad157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Admitting people with dementia to critical care units may not always lead to a clear survival benefit. Critical care admissions of people with dementia vary across countries. Little is known about the use and trends of critical care admissions of people with dementia in England. OBJECTIVE To investigate critical care use and survival among people with dementia in a large London catchment area. METHODS A retrospective cohort study using data from dementia assessment services in south London, UK (2007-20) linked with national hospitalisation data to ascertain critical care admissions. Outcomes included age-sex-standardised critical care use and 1-year post-critical care admission survival by dementia severity (binary: mild versus moderate/severe). We used logistic regression and Kaplan-Meier survival plots for investigating 1-year survival following a critical care admission and linear regressions for time trends. RESULTS Of 19,787 people diagnosed with dementia, 726 (3.7%) had ≥1 critical care admission at any time after receiving their dementia diagnosis. The overall 1-year survival of people with dementia, who had a CCA, was 47.5% (n = 345). Dementia severity was not associated with 1-year survival following a critical care admission (mild dementia versus moderate-severe dementia odds of 1-year mortality OR: 0.90, 95% CI [0.66-1.22]). Over the 12-year period from 2008 to 2019, overall critical care use decreased (β = -0.05; 95% CI = -0.01, -0.0003; P = 0.03), while critical care admissions occurring during the last year of life increased (β = 0.11, 95% CI = 0.01, 0.20, P = 0.03). CONCLUSIONS In this cohort, while critical care use among people with dementia declined overall, its use increased among those in their last year of life. Survival remains comparable to that observed in general older populations.
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Affiliation(s)
- Emel Yorganci
- Cicely Saunders Institute of Palliative Care, Policy & Rehabilitation, King's College London, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, London SE5 9PJ, UK
| | - Katherine E Sleeman
- Cicely Saunders Institute of Palliative Care, Policy & Rehabilitation, King's College London, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, London SE5 9PJ, UK
| | - Elizabeth L Sampson
- Division of Psychiatry, University College London, London W1T 7NF, UK
- Liaison Psychiatry, Royal London Hospital, East London NHS Foundation Trust, London E1 1FR, UK
| | - Robert Stewart
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AB, UK
- South London and Maudsley NHS Foundation Trust, London SE5 8AB, UK
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23
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Ronaldson A, Stewart R, Mueller C, Das-Munshi J, Newbury JB, Mudway IS, Broadbent M, Fisher HL, Beevers S, Dajnak D, Hotopf M, Hatch SL, Bakolis I. Associations between air pollution and mental health service use in dementia: a retrospective cohort study. BMJ MENTAL HEALTH 2023; 26:e300762. [PMID: 37550086 PMCID: PMC10577765 DOI: 10.1136/bmjment-2023-300762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 06/11/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Little is known about the role of air pollution in how people with dementia use mental health services. OBJECTIVE We examined longitudinal associations between air pollution exposure and mental health service use in people with dementia. METHODS In 5024 people aged 65 years or older with dementia in South London, high resolution estimates of nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10) levels in ambient air were linked to residential addresses. Associations between air pollution and Community Mental Health Team (CMHT) events (recorded over 9 years) were examined using negative binomial regression models. Cognitive function was measured using the Mini Mental State Examination (MMSE) and health and social functioning was measured using the Health of the Nation Outcomes Scale (HoNOS65+). Associations between air pollution and both MMSE and HoNOS65+ scores were assessed using linear regression models. FINDINGS In the first year of follow-up, increased exposure to all air pollutants was associated with an increase in the use of CMHTs in a dose-response manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) (eg, NO2: adjusted incidence rate ratio (aIRR) 1.27, 95% CI 1.11 to 1.45, p<0.001). Dose-response patterns between PM2.5 and CMHT events remained at 5 and 9 years. Associations were strongest for patients with vascular dementia. NO2 levels were linked with poor functional status, but not cognitive function. CONCLUSIONS Residential air pollution exposure is associated with increased CMHT usage among people with dementia. CLINICAL IMPLICATIONS Efforts to reduce pollutant exposures in urban settings might reduce the use of mental health services in people with dementia, freeing up resources in already considerably stretched psychiatric services.
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Affiliation(s)
- Amy Ronaldson
- Health Service and Population Research Department, Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, UK
| | - Robert Stewart
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Christoph Mueller
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Jayati Das-Munshi
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Joanne B Newbury
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Social, Genetic & Developmental Psychiatry Centre, IoPPN, King's College London, London, UK
| | - Ian S Mudway
- MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, UK
| | - Matthew Broadbent
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Helen L Fisher
- ESRC Centre for Society and Mental Health, King's College London, London, UK
- Social, Genetic & Developmental Psychiatry Centre, IoPPN, King's College London, London, UK
| | - Sean Beevers
- MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, UK
| | - David Dajnak
- MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, UK
| | - Matthew Hotopf
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Stephani L Hatch
- Department of Psychological Medicine, IoPPN, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Ioannis Bakolis
- Health Service and Population Research Department, Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, UK
- Department of Biostatistics and Health Informatics, IoPPN, King's College London, London, UK
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24
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Kivimäki M, Livingston G, Singh-Manoux A, Mars N, Lindbohm JV, Pentti J, Nyberg ST, Pirinen M, Anderson EL, Hingorani AD, Sipilä PN. Estimating Dementia Risk Using Multifactorial Prediction Models. JAMA Netw Open 2023; 6:e2318132. [PMID: 37310738 PMCID: PMC10265307 DOI: 10.1001/jamanetworkopen.2023.18132] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 04/27/2023] [Indexed: 06/14/2023] Open
Abstract
Importance The clinical value of current multifactorial algorithms for individualized assessment of dementia risk remains unclear. Objective To evaluate the clinical value associated with 4 widely used dementia risk scores in estimating 10-year dementia risk. Design, Setting, and Participants This prospective population-based UK Biobank cohort study assessed 4 dementia risk scores at baseline (2006-2010) and ascertained incident dementia during the following 10 years. Replication with a 20-year follow-up was based on the British Whitehall II study. For both analyses, participants who had no dementia at baseline, had complete data on at least 1 dementia risk score, and were linked to electronic health records from hospitalizations or mortality were included. Data analysis was conducted from July 5, 2022, to April 20, 2023. Exposures Four existing dementia risk scores: the Cardiovascular Risk Factors, Aging and Dementia (CAIDE)-Clinical score, the CAIDE-APOE-supplemented score, the Brief Dementia Screening Indicator (BDSI), and the Australian National University Alzheimer Disease Risk Index (ANU-ADRI). Main Outcomes and Measures Dementia was ascertained from linked electronic health records. To evaluate how well each score predicted the 10-year risk of dementia, concordance (C) statistics, detection rate, false-positive rate, and the ratio of true to false positives were calculated for each risk score and for a model including age alone. Results Of 465 929 UK Biobank participants without dementia at baseline (mean [SD] age, 56.5 [8.1] years; range, 38-73 years; 252 778 [54.3%] female participants), 3421 were diagnosed with dementia at follow-up (7.5 per 10 000 person-years). If the threshold for a positive test result was calibrated to achieve a 5% false-positive rate, all 4 risk scores detected 9% to 16% of incident dementia and therefore missed 84% to 91% (failure rate). The corresponding failure rate was 84% for a model that included age only. For a positive test result calibrated to detect at least half of future incident dementia, the ratio of true to false positives ranged between 1 to 66 (for CAIDE-APOE-supplemented) and 1 to 116 (for ANU-ADRI). For age alone, the ratio was 1 to 43. The C statistic was 0.66 (95% CI, 0.65-0.67) for the CAIDE clinical version, 0.73 (95% CI, 0.72-0.73) for the CAIDE-APOE-supplemented, 0.68 (95% CI, 0.67-0.69) for BDSI, 0.59 (95% CI, 0.58-0.60) for ANU-ADRI, and 0.79 (95% CI, 0.79-0.80) for age alone. Similar C statistics were seen for 20-year dementia risk in the Whitehall II study cohort, which included 4865 participants (mean [SD] age, 54.9 [5.9] years; 1342 [27.6%] female participants). In a subgroup analysis of same-aged participants aged 65 (±1) years, discriminatory capacity of risk scores was low (C statistics between 0.52 and 0.60). Conclusions and Relevance In these cohort studies, individualized assessments of dementia risk using existing risk prediction scores had high error rates. These findings suggest that the scores were of limited value in targeting people for dementia prevention. Further research is needed to develop more accurate algorithms for estimation of dementia risk.
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Affiliation(s)
- Mika Kivimäki
- Department of Mental Health of Older People, UCL Brain Sciences, University College London, London, United Kingdom
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Gill Livingston
- Department of Mental Health of Older People, UCL Brain Sciences, University College London, London, United Kingdom
| | - Archana Singh-Manoux
- Department of Mental Health of Older People, UCL Brain Sciences, University College London, London, United Kingdom
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Nina Mars
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Joni V. Lindbohm
- Department of Mental Health of Older People, UCL Brain Sciences, University College London, London, United Kingdom
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jaana Pentti
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Solja T. Nyberg
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Matti Pirinen
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Emma L. Anderson
- Department of Mental Health of Older People, UCL Brain Sciences, University College London, London, United Kingdom
- MRC Integrative Epidemiology Unit and Population Health Sciences, University of Bristol Medical School, Bristol, United Kingdom
| | - Aroon D. Hingorani
- Institute of Cardiovascular Sciences, University College London, London, United Kingdom
| | - Pyry N. Sipilä
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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25
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Jiang F, Mishra SR, Shrestha N, Ozaki A, Virani SS, Bright T, Kuper H, Zhou C, Zhu D. Association between hearing aid use and all-cause and cause-specific dementia: an analysis of the UK Biobank cohort. Lancet Public Health 2023; 8:e329-e338. [PMID: 37062296 DOI: 10.1016/s2468-2667(23)00048-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND Dementia and hearing loss are both highly prevalent conditions among older adults. We aimed to examine the association between hearing aid use and risk of all-cause and cause-specific dementia among middle-aged and older-aged adults, and to explore the roles of mediators and moderators in their association. METHODS We used data from the UK Biobank, a population-based cohort study, which recruited adults aged 40-69 years between 2006 and 2010 across 22 centres in England, Scotland, and Wales. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% CIs between self-reported hearing aid use status (hearing loss with or without hearing aids) at baseline and risk of dementia (all-cause dementia, Alzheimer's disease, vascular dementia, and non-Alzheimer's disease non-vascular dementia). Dementia diagnoses were ascertained using hospital records and death-register data. We also analysed the roles of mediators (self-reported social isolation, loneliness, and mood) and moderators (self-reported education and income, smoking, morbidity, and measured APOE allele status). FINDINGS After the exclusion of people who did not answer the question on hearing difficulties (n=25 081 [5·0%]) and those with dementia at baseline visit (n=283 [0·1%]), we included 437 704 people in the analyses. Compared with participants without hearing loss, people with hearing loss without hearing aids had an increased risk of all-cause dementia (HR 1·42 [95% CI 1·29-1·56]); we found no increased risk in people with hearing loss with hearing aids (1·04 [0·98-1·10]). The positive association of hearing aid use was observed in all-cause dementia and cause-specific dementia subtypes (Alzheimer's disease, vascular dementia, and non-Alzheimer's disease non-vascular dementia). The attributable risk proportion of dementia for hearing loss was estimated to be 29·6%. Of the total association between hearing aid use and all-cause dementia, 1·5% was mediated by reducing social isolation, 2·3% by reducing loneliness, and 7·1% by reducing depressed mood. INTERPRETATION In people with hearing loss, hearing aid use is associated with a risk of dementia of a similar level to that of people without hearing loss. With the postulation that up to 8% of dementia cases could be prevented with proper hearing loss management, our findings highlight the urgent need to take measures to address hearing loss to improve cognitive decline. FUNDING National Natural Science Foundation of China and Shandong Province, Taishan Scholars Project, China Medical Board, and China Postdoctoral Science Foundation.
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Affiliation(s)
- Fan Jiang
- Centre for Health Management and Policy Research, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Shiva Raj Mishra
- NHMRC Clinical Trials Center, University of Sydney, NSW, Australia; Westmead Applied Research Centre (WARC), Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | - Nipun Shrestha
- Evidence Integration, University of Sydney, NSW, Australia
| | - Akihiko Ozaki
- Department of Breast and Thyroid Surgery, Jyoban Hospital of Tokiwa Foundation, Iwaki, Fukushima, Japan; Department of Gastrointestinal Tract Surgery, Fukushima Medical University, Fukushima, Japan
| | - Salim S Virani
- Michael E DeBakey VA Medical Center, Baylor College of Medicine, Houston, TX, USA; The Aga Khan University, Karachi, Pakistan
| | - Tess Bright
- Indigenous Health Equity Unit, Centre for Health Equity, University of Melbourne, Melbourne, VIC, Australia
| | - Hannah Kuper
- International Center for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK
| | - Chengchao Zhou
- Centre for Health Management and Policy Research, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Dongshan Zhu
- Department of Epidemiology, Shandong University, Jinan, China.
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26
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Ma LZ, Zhang YR, Li YZ, Ou YN, Yang L, Chen SD, Dong Q, Feng JF, Cheng W, Tan L, Yu JT. Cataract, Cataract Surgery, and Risk of Incident Dementia: A Prospective Cohort Study of 300,823 Participants. Biol Psychiatry 2023; 93:810-819. [PMID: 35940935 DOI: 10.1016/j.biopsych.2022.06.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/02/2022] [Accepted: 06/02/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Visual impairment and interventions to preserve vision may impact dementia risk. Thus, we aimed to explore the associations of cataract and cataract surgery with the risk of dementia. METHODS Prospective data from 300,823 individuals in the UK Biobank were used. We used multivariate Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals for associations, with healthy control subjects as a reference. The same method was used to explore the effects of surgery on dementia outcomes of patients with cataract. One-way analysis of variance was performed to examine the associations between cataract and brain morphometric measures. RESULTS After a mean follow-up of 8.4 years, 3226 individuals were diagnosed with dementia. The nonsurgical cataract group had increased risk of all-cause dementia (HR, 1.214; 95% CI, 1.012-1.456; p = .037) and Alzheimer's disease (HR, 1.479; 95% CI, 1.105-1.981; p = .009). However, there was no difference in dementia risk between the cataract surgery group and the healthy control group. Cataract surgery was associated with decreased risk of all-cause dementia (HR, 0.632; 95% CI, 0.421-0.947; p = .026) and Alzheimer's disease (HR, 0.399; 95% CI, 0.196-0.812; p = .011) compared with the nonsurgical group. Additionally, cataract was negatively associated with cortical volumes, aging-related subcortical volumes, and fractional anisotropy of white matter fibers. CONCLUSIONS Cataract patients who did not receive surgical treatment had an increased risk of dementia. However, cataract surgery could reverse the risk of dementia. Our findings on brain structures and pathways in patients with cataract also provided evidence for the mechanism. Reversible visual impairment, such as cataract, is a promising modifiable risk factor for dementia.
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Affiliation(s)
- Ling-Zhi Ma
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Zhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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27
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Yang Z, Wei C, Li X, Yuan J, Gao X, Li B, Zhao Z, Toh S, Yu X, Brayne C, Yang Z, Sha F, Tang J. Association Between Regular Laxative Use and Incident Dementia in UK Biobank Participants. Neurology 2023; 100:e1702-e1711. [PMID: 36813729 PMCID: PMC10115504 DOI: 10.1212/wnl.0000000000207081] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/06/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The use of over-the-counter laxatives is common in the general population. The microbiome-gut-brain axis hypothesis suggests that the use of laxatives could be associated with dementia. We aimed to examine the association between the regular use of laxatives and the incidence of dementia in UK Biobank participants. METHODS This prospective cohort study was based on UK Biobank participants aged 40-69 years without a history of dementia. Regular use of laxatives was defined as self-reported use in most days of the week for the last 4 weeks at baseline (2006-2010). The outcomes were all-cause dementia, Alzheimer disease (AD), and vascular dementia (VD), identified from linked hospital admissions or death registers (up to 2019). Sociodemographic characteristics, lifestyle factors, medical conditions, family history, and regular medication use were adjusted for in the multivariable Cox regression analyses. RESULTS Among the 502,229 participants with a mean age of 56.5 (SD 8.1) years at baseline, 273,251 (54.4%) were female, and 18,235 (3.6%) reported regular use of laxatives. Over a mean follow-up of 9.8 years, 218 (1.3%) participants with regular use of laxatives and 1,969 (0.4%) with no regular use developed all-cause dementia. Multivariable analyses showed that regular use of laxatives was associated with increased risk of all-cause dementia (hazard ratio [HR] 1.51; 95% CI 1.30-1.75) and VD (HR 1.65; 95% CI 1.21-2.27), with no significant association observed for AD (HR 1.05; 95% CI 0.79-1.40). The risk of both all-cause dementia and VD increased with the number of regularly used laxative types (p trend 0.001 and 0.04, respectively). Among the participants who clearly reported that they were using just 1 type of laxative (n = 5,800), only those using osmotic laxatives showed a statistically significantly higher risk of all-cause dementia (HR 1.64; 95% CI 1.20-2.24) and VD (HR 1.97; 95% CI 1.04-3.75). These results remained robust in various subgroup and sensitivity analyses. DISCUSSION Regular use of laxatives was associated with a higher risk of all-cause dementia, particularly in those who used multiple laxative types or osmotic laxative.
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Affiliation(s)
- Zhirong Yang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Chang Wei
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xiaojuan Li
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Jinqiu Yuan
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xuefeng Gao
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Bingyu Li
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Ziyi Zhao
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Sengwee Toh
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xin Yu
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Carol Brayne
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Zuyao Yang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Feng Sha
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Jinling Tang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
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28
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Lai KY, Webster C, Kumari S, Gallacher JEJ, Sarkar C. The associations of socioeconomic status with incident dementia and Alzheimer's disease are modified by leucocyte telomere length: a population-based cohort study. Sci Rep 2023; 13:6163. [PMID: 37061546 PMCID: PMC10105714 DOI: 10.1038/s41598-023-32974-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 04/05/2023] [Indexed: 04/17/2023] Open
Abstract
Socio-economic status (SES) and biological aging are risk factors for dementia, including Alzheimer's disease, however, it is less clear if the associations with SES vary sufficiently across different biological age strata. We used data from 331,066 UK Biobank participants aged 38-73 with mean follow-up of 12 years to examine if associations between SES (assessed by educational attainment, employment status and household income) and dementia and Alzheimer's disease are modified by biological age (assessed by leucocyte telomere length: LTL). Diagnosis of events was ascertained through hospital admissions data. Cox regressions were used to estimate hazard ratios [HRs]. A consistent dose-response relationship was found, with participants in low SES and shorter LTL strata (double-exposed group) reporting 3.28 (95% confidence interval [CI] 2.57-4.20) and 3.44 (95% CI 2.35-5.04) times higher risks of incident dementia and Alzheimer's disease respectively, compared to those of high SES and longer LTL (least-exposed group). Of interest is a synergistic interaction between SES and LTL to increase risk of dementia (RERI 0.57, 95% CI 0.07-1.06) and Alzheimer's disease (RERI 0.79, 95% CI 0.02-1.56). Our findings that SES and biological age (LTL) are synergistic risk factors of dementia and Alzheimer's disease may suggest the need to target interventions among vulnerable sub-groups.
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Affiliation(s)
- Ka Yan Lai
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - Sarika Kumari
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - John E J Gallacher
- Dementias Platform UK, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Chinmoy Sarkar
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Dementias Platform UK, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.
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29
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Affiliation(s)
- Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
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30
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Shannon OM, Ranson JM, Gregory S, Macpherson H, Milte C, Lentjes M, Mulligan A, McEvoy C, Griffiths A, Matu J, Hill TR, Adamson A, Siervo M, Minihane AM, Muniz-Tererra G, Ritchie C, Mathers JC, Llewellyn DJ, Stevenson E. Mediterranean diet adherence is associated with lower dementia risk, independent of genetic predisposition: findings from the UK Biobank prospective cohort study. BMC Med 2023; 21:81. [PMID: 36915130 PMCID: PMC10012551 DOI: 10.1186/s12916-023-02772-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/07/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND The identification of effective dementia prevention strategies is a major public health priority, due to the enormous and growing societal cost of this condition. Consumption of a Mediterranean diet (MedDiet) has been proposed to reduce dementia risk. However, current evidence is inconclusive and is typically derived from small cohorts with limited dementia cases. Additionally, few studies have explored the interaction between diet and genetic risk of dementia. METHODS We used Cox proportional hazard regression models to explore the associations between MedDiet adherence, defined using two different scores (Mediterranean Diet Adherence Screener [MEDAS] continuous and Mediterranean diet Pyramid [PYRAMID] scores), and incident all-cause dementia risk in 60,298 participants from UK Biobank, followed for an average 9.1 years. The interaction between diet and polygenic risk for dementia was also tested. RESULTS Higher MedDiet adherence was associated with lower dementia risk (MEDAS continuous: HR = 0.77, 95% CI = 0.65-0.91; PYRAMID: HR = 0.86, 95% CI = 0.73-1.02 for highest versus lowest tertiles). There was no significant interaction between MedDiet adherence defined by the MEDAS continuous and PYRAMID scores and polygenic risk for dementia. CONCLUSIONS Higher adherence to a MedDiet was associated with lower dementia risk, independent of genetic risk, underlining the importance of diet in dementia prevention interventions.
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Affiliation(s)
- Oliver M Shannon
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Janice M Ranson
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Sarah Gregory
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Helen Macpherson
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Catherine Milte
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Marleen Lentjes
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Angela Mulligan
- Nutrition Measurement Platform, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Claire McEvoy
- Centre for Public Health, The Institute for Global Food Security, Queen's University Belfast, Belfast, UK
| | | | - Jamie Matu
- School of Health, Leeds Beckett University, Leeds, UK
| | - Tom R Hill
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Ashley Adamson
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Mario Siervo
- School of Life Sciences, Queen's Medical Centre, The University of Nottingham Medical School, Nottingham, UK
| | - Anne Marie Minihane
- Nutrition and Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, UK.,Norwich Institute of Health Ageing (NIHA), Norwich, UK
| | - Graciela Muniz-Tererra
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA
| | - Craig Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - John C Mathers
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
| | - David J Llewellyn
- College of Medicine and Health, University of Exeter, Exeter, UK.,Alan Turing Institute, London, UK
| | - Emma Stevenson
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
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31
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Sheehan R, Mansour H, Broadbent M, Hassiotis A, Mueller C, Stewart R, Strydom A, Sommerlad A. Recording of intellectual disability in general hospitals in England 2006-2019: Cohort study using linked datasets. PLoS Med 2023; 20:e1004117. [PMID: 36940198 PMCID: PMC10069786 DOI: 10.1371/journal.pmed.1004117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 04/03/2023] [Accepted: 02/20/2023] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND Accurate recognition and recording of intellectual disability in those who are admitted to general hospitals is necessary for making reasonable adjustments, ensuring equitable access, and monitoring quality of care. In this study, we determined the rate of recording of intellectual disability in those with the condition who were admitted to hospital and factors associated with the condition being unrecorded. METHODS AND FINDINGS Retrospective cohort study using 2 linked datasets of routinely collected clinical data in England. We identified adults with diagnosed intellectual disability in a large secondary mental healthcare database and used general hospital records to investigate recording of intellectual disability when people were admitted to general hospitals between 2006 and 2019. Trends over time and factors associated with intellectual disability being unrecorded were investigated. We obtained data on 2,477 adults with intellectual disability who were admitted to a general hospital in England at least once during the study period (total number of admissions = 27,314; median number of admissions = 5). People with intellectual disability were accurately recorded as having the condition during 2.9% (95% CI 2.7% to 3.1%) of their admissions. Broadening the criteria to include a nonspecific code of learning difficulty increased recording to 27.7% (95% CI 27.2% to 28.3%) of all admissions. In analyses adjusted for age, sex, ethnicity, and socioeconomic deprivation, having a mild intellectual disability and being married were associated with increased odds of the intellectual disability being unrecorded in hospital records. We had no measure of quality of hospital care received and could not relate this to the presence or absence of a record of intellectual disability in the patient record. CONCLUSIONS Recognition and recording of intellectual disability in adults admitted to English general hospitals needs to be improved. Staff awareness training, screening at the point of admission, and data sharing between health and social care services could improve care for people with intellectual disability.
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Affiliation(s)
- Rory Sheehan
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Hassan Mansour
- Division of Psychiatry, University College London, London, United Kingdom
| | - Matthew Broadbent
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Angela Hassiotis
- Division of Psychiatry, University College London, London, United Kingdom
| | - Christoph Mueller
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Andre Strydom
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, United Kingdom
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32
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Åberg F, Britton A, Luukkonen PK. Changes over time in the Chronic Liver Disease risk score predict liver-related outcomes: longitudinal analysis of the Whitehall II study. Scand J Gastroenterol 2023; 58:170-177. [PMID: 35989617 DOI: 10.1080/00365521.2022.2113130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIMS The Chronic Liver Disease (CLivD) risk score was recently shown to predict future advanced liver disease in the general population. We here investigated the impact of individual CLivD-score changes over time. METHODS Participants of both phase 3 (baseline, 1991-1994) and phase 5 (follow-up, 1997-1999) examinations of the Whitehall II study were followed for liver-related outcomes (hospitalization, cancer, death) until December 2019 through linkage with electronic healthcare registers. The CLivD score, its modifiable components (alcohol use, waist-hip ratio [WHR], diabetes, and smoking), and their individual changes were studied. RESULTS Among 6590 adults (mean age 50 years, 30% women) with a median 21-year follow-up, there were 80 liver outcomes. A rise in the CLivD score between baseline and follow-up examinations significantly increased the risk for liver-related outcomes (adjusted hazard ratio [aHR] 1.62, 95% confidence interval [CI] 1.01-2.60), more so in subjects with baseline intermediate-high CLivD scores (HR 2.4 for a CLivD-change) compared to minimal-low CLivD scores. Adverse changes over time in alcohol use and WHR, and new-onset diabetes also predicted liver outcomes. In contrast to WHR, changes in body weight (kg) showed a U-shaped association with liver outcomes. CONCLUSIONS A change in the CLivD score over time corresponds to a true change in the risk for liver-related outcomes, suggesting the usefulness of the CLivD score for assessing response to liver-directed lifestyle interventions. Changes in WHR predicted liver outcomes better than changes in body weight or waist circumference, independent of body mass index, supporting the WHR in assessing risk for future liver disease.
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Affiliation(s)
- Fredrik Åberg
- Transplantation and Liver Surgery Clinic, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Annie Britton
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Panu K Luukkonen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Internal Medicine, Yale University, New Haven, CT, USA
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Shang X, Roccati E, Zhu Z, Kiburg K, Wang W, Huang Y, Zhang X, Zhang X, Liu J, Tang S, Hu Y, Ge Z, Yu H, He M. Leading mediators of sex differences in the incidence of dementia in community-dwelling adults in the UK Biobank: a retrospective cohort study. Alzheimers Res Ther 2023; 15:7. [PMID: 36617573 PMCID: PMC9827665 DOI: 10.1186/s13195-022-01140-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/08/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Little is known regarding whether sex assigned at birth modifies the association between several predictive factors for dementia and the risk of dementia itself. METHODS Our retrospective cohort study included 214,670 men and 214,670 women matched by age at baseline from the UK Biobank. Baseline data were collected between 2006 and 2010, and incident dementia was ascertained using hospital inpatient or death records until January 2021. Mediation analysis was tested for 133 individual factors. RESULTS Over 5,117,381 person-years of follow-up, 5928 cases of incident all-cause dementia (452 cases of young-onset dementia, 5476 cases of late-onset dementia) were documented. Hazard ratios (95% CI) for all-cause, young-onset, and late-onset dementias associated with the male sex (female as reference) were 1.23 (1.17-1.29), 1.42 (1.18-1.71), and 1.21 (1.15-1.28), respectively. Out of 133 individual factors, the strongest mediators for the association between sex and incident dementia were multimorbidity risk score (percentage explained (95% CI): 62.1% (45.2-76.6%)), apolipoprotein A in the blood (25.5% (15.2-39.4%)), creatinine in urine (24.9% (16.1-36.5%)), low-density lipoprotein cholesterol in the blood (23.2% (16.2-32.1%)), and blood lymphocyte percentage (21.1% (14.5-29.5%)). Health-related conditions (percentage (95% CI) explained: 74.4% (51.3-88.9%)) and biomarkers (83.0% (37.5-97.5%)), but not lifestyle factors combined (30.1% (20.7-41.6%)), fully mediated sex differences in incident dementia. Health-related conditions combined were a stronger mediator for late-onset (75.4% (48.6-90.8%)) than for young-onset dementia (52.3% (25.8-77.6%)), whilst lifestyle factors combined were a stronger mediator for young-onset (42.3% (19.4-69.0%)) than for late-onset dementia (26.7% (17.1-39.2%)). CONCLUSIONS Our analysis matched by age has demonstrated that men had a higher risk of all-cause, young-onset, and late-onset dementias than women. This association was fully mediated by health-related conditions or blood/urinary biomarkers and largely mediated by lifestyle factors. Our findings are important for understanding potential mechanisms of sex in dementia risk.
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Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia.
- Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC, 3050, Australia.
| | - Eddy Roccati
- Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC, 3050, Australia
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, 7001, Australia
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia
| | - Katerina Kiburg
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xueli Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jiahao Liu
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia
| | - Shulin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC, 3800, Australia
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia.
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China.
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Kuryba AJ, Boyle JM, van der Meulen J, Aggarwal A, Walker K, Fearnhead NS, Braun MS. Severity of Dementia and Survival in Patients Diagnosed with Colorectal Cancer: A National Cohort Study in England and Wales. Clin Oncol (R Coll Radiol) 2023; 35:e67-e76. [PMID: 36216698 DOI: 10.1016/j.clon.2022.08.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/08/2022] [Accepted: 08/25/2022] [Indexed: 01/04/2023]
Abstract
AIMS There is little evidence about the survival of patients with colorectal cancer (CRC) also diagnosed with dementia. We quantified dementia severity and estimated how it is associated with 2-year overall survival. MATERIALS AND METHODS Records of patients aged 65 years or older diagnosed with CRC in England and Wales were identified. A novel proxy for dementia severity combined dementia diagnosis in administrative hospital data with Eastern Cooperative Oncology Group performance status. Cox regression was used to estimate hazard ratios with and without risk adjustment. RESULTS In total, 4033 of 105 250 CRC patients (3.8%) had dementia recorded. Two-year survival decreased with increasing dementia severity from 65.4% without dementia, 53.5% with mild dementia, 33.0% with moderate dementia to 16.5% with severe dementia (hazard ratio comparing severe with no dementia: 2.97; 95% confidence interval 2.79, 3.16). Risk adjustment for comorbidity and cancer stage reduced this association slightly (hazard ratio 2.52; 95% confidence interval 2.37, 2.68) and additional adjustment for treatment factors reduced it further (hazard ratio 1.60; 95% confidence interval 1.50, 1.70). CONCLUSIONS Survival of CRC patients varied strongly according to dementia severity, suggesting that a 'one-size-fits-all' policy for the care of CRC patients with dementia is not appropriate. Comprehensive assessment of cancer patients with dementia that considers dementia severity is essential in a shared decision-making process that ensures patients receive the most appropriate treatment for their individual needs and preferences.
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Affiliation(s)
- A J Kuryba
- Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
| | - J M Boyle
- Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - J van der Meulen
- Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - A Aggarwal
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK; Department of Oncology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - K Walker
- Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - N S Fearnhead
- Department of Colorectal Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - M S Braun
- Department of Oncology, The Christie NHS Foundation Trust, Manchester, UK; School of Medical Sciences, University of Manchester, Manchester, UK
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Reeves D, Holland F, Morbey H, Hann M, Ahmed F, Davies L, Keady J, Leroi I, Reilly S. Retrospective study of more than 5 million emergency admissions to hospitals in England: Epidemiology and outcomes for people with dementia. PLoS One 2023; 18:e0281158. [PMID: 36888666 PMCID: PMC9994676 DOI: 10.1371/journal.pone.0281158] [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] [Received: 10/04/2022] [Accepted: 01/13/2023] [Indexed: 03/09/2023] Open
Abstract
INTRODUCTION People living with dementia (PwD) admitted in emergency to an acute hospital may be at higher risk of inappropriate care and poorer outcomes including longer hospitalisations and higher risk of emergency re-admission or death. Since 2009 numerous national and local initiatives in England have sought to improve hospital care for PwD. We compared outcomes of emergency admissions for cohorts of patients aged 65+ with and without dementia at three points in time. METHODS We analysed emergency admissions (EAs) from the Hospital Episodes Statistics datasets for England 2010/11, 2012/13 and 2016/17. Dementia upon admission was based on a diagnosis in the patient's hospital records within the last five years. Outcomes were length of hospital stays (LoS), long stays (> = 15 days), emergency re-admissions (ERAs) and death in hospital or within 30 days post-discharge. A wide range of covariates were taken into account, including patient demographics, pre-existing health and reasons for admission. Hierarchical multivariable regression analysis, applied separately for males and females, estimated group differences adjusted for covariates. RESULTS We included 178 acute hospitals and 5,580,106 EAs, of which 356,992 (13.9%) were male PwD and 561,349 (18.6%) female PwD. Uncontrolled differences in outcomes between the patient groups were substantial but were considerably reduced after control for covariates. Covariate-adjusted differences in LoS were similar at all time-points and in 2016/17 were 17% (95%CI 15%-18%) and 12% (10%-14%) longer for male and female PwD respectively compared to patients without dementia. Adjusted excess risk of an ERA for PwD reduced over time to 17% (15%-18%) for males and 17% (16%-19%) for females, but principally due to increased ERA rates amongst patients without dementia. Adjusted overall mortality was 30% to 40% higher for PwD of both sexes throughout the time-period; however, adjusted in-hospital rates of mortality differed only slightly between the patient groups, whereas PwD had around double the risk of dying within 30 days of being discharged. CONCLUSION Over the six-year period, covariate-adjusted hospital LoS, ERA rates and in-hospital mortality rates for PwD were only slightly elevated compared to similar patients without dementia and remaining differences potentially reflect uncontrolled confounding. PwD however, were around twice as likely to die shortly after discharge, the reasons for which require further investigation. Despite being widely used for service evaluation, LoS, ERA and mortality may lack sensitivity to changes in hospital care and support to PwD.
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Affiliation(s)
- David Reeves
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- * E-mail:
| | - Fiona Holland
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Hazel Morbey
- Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Mark Hann
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Faraz Ahmed
- Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Linda Davies
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - John Keady
- National Institute for Health Research School for Social Care Research, Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Iracema Leroi
- Department of Psychiatry St James’ Hospital, Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Siobhan Reilly
- Centre for Applied Dementia Studies, Faculty of Health Studies, University of Bradford, Bradford, United Kingdom
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Contribution of smoking towards the association between socioeconomic position and dementia: 32-year follow-up of the Whitehall II prospective cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2022; 23:100516. [PMID: 36189426 PMCID: PMC9523395 DOI: 10.1016/j.lanepe.2022.100516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background There is consistent evidence of social inequalities in dementia but the mechanisms underlying this association remain unclear. We examined the role of smoking in midlife in socioeconomic differences in dementia at older ages. Methods Analyses were based on 9951 (67% men) participants, median age 44.3 [IQR=39.6, 50.3] years at baseline in 1985-1988, from the Whitehall II cohort study. Socioeconomic position (SEP) and smoking (smoking status (current, ex-, never-smoker), pack years of smoking, and smoking history score (combining status and pack-years)) were measured at baseline. Counterfactual mediation analysis was used to examine the contribution of smoking to the association between SEP and dementia. Findings During a median follow-up of 31.6 (IQR 31.1, 32.6) years, 628 participants were diagnosed with dementia and 2110 died. Analyses adjusted for age, sex, ethnicity, education, and SEP showed smokers (hazard ratio [HR] 1.36 [95% CI 1.10-1.68]) but not ex-smokers (HR 0.95 [95% CI 0.79-1.14]) to have a higher risk of dementia compared to never-smokers; similar results for smoking were obtained for pack-years of smoking and smoking history score. Mediation analysis showed low SEP to be associated with higher risk of dementia (HRs between 1.97 and 2.02, depending on the measure of smoking in the model); estimate for the mediation effect was 16% for smoking status (Indirect Effect HR 1.09 [95% CI 1.03-1.15]), 7% for pack-years of smoking (Indirect Effect HR 1.03 [95% CI 1.01-1.06]) and 11% for smoking history score (Indirect Effect HR 1.06 [95% CI 1.02-1.10]). Interpretation Our findings suggest that part of the social inequalities in dementia is mediated by smoking. Funding NIH.
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Schliep KC, Ju S, Foster NL, Smith KR, Varner MM, Østbye T, Tschanz J. How good are medical and death records for identifying dementia? Alzheimers Dement 2022; 18:1812-1823. [PMID: 34873816 PMCID: PMC9170837 DOI: 10.1002/alz.12526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Retrospective studies using administrative data may be an efficient way to assess risk factors for dementia if diagnostic accuracy is known. METHODS Within-individual clinical diagnoses of Alzheimer's disease (AD) and all-cause dementia in ambulatory (outpatient) surgery, inpatient, Medicare administrative records and death certificates were compared with research diagnoses among participants of Cache County Study on Memory, Health, and Aging (CCSMHA) (1995-2008, N = 5092). RESULTS Combining all sources of clinical health data increased sensitivity for identifying all-cause dementia (71%) and AD (48%), while maintaining relatively high specificity (81% and 93%, respectively). Medicare claims had the highest sensitivity for case identification (57% and 40%, respectively). DISCUSSION Administrative health data may provide a less accurate method than a research evaluation for identifying individuals with dementing disease, but accuracy is improved by combining health data sources. Assessing all-cause dementia versus a specific cause of dementia such as AD will result in increased sensitivity, but at a cost to specificity.
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Affiliation(s)
- Karen C. Schliep
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Shinyoung Ju
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Norman L. Foster
- Center for Alzheimer’s Care, Imaging & Research, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Ken R. Smith
- Department of Family and Consumer Studies and Population Sciences/Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Michael M. Varner
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, USA
| | - Truls Østbye
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - JoAnn Tschanz
- Department of Psychology, Utah State University, Logan, Utah, USA
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Association of sleep duration at age 50, 60, and 70 years with risk of multimorbidity in the UK: 25-year follow-up of the Whitehall II cohort study. PLoS Med 2022; 19:e1004109. [PMID: 36256607 PMCID: PMC9578599 DOI: 10.1371/journal.pmed.1004109] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/13/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Sleep duration has been shown to be associated with individual chronic diseases but its association with multimorbidity, common in older adults, remains poorly understood. We examined whether sleep duration is associated with incidence of a first chronic disease, subsequent multimorbidity and mortality using data spanning 25 years. METHODS AND FINDINGS Data were drawn from the prospective Whitehall II cohort study, established in 1985 on 10,308 persons employed in the London offices of the British civil service. Self-reported sleep duration was measured 6 times between 1985 and 2016, and data on sleep duration was extracted at age 50 (mean age (standard deviation) = 50.6 (2.6)), 60 (60.3 (2.2)), and 70 (69.2 (1.9)). Incidence of multimorbidity was defined as having 2 or more of 13 chronic diseases, follow-up up to March 2019. Cox regression, separate analyses at each age, was used to examine associations of sleep duration at age 50, 60, and 70 with incident multimorbidity. Multistate models were used to examine the association of sleep duration at age 50 with onset of a first chronic disease, progression to incident multimorbidity, and death. Analyses were adjusted for sociodemographic, behavioral, and health-related factors. A total of 7,864 (32.5% women) participants free of multimorbidity had data on sleep duration at age 50; 544 (6.9%) reported sleeping ≤5 hours, 2,562 (32.6%) 6 hours, 3,589 (45.6%) 7 hours, 1,092 (13.9%) 8 hours, and 77 (1.0%) ≥9 hours. Compared to 7-hour sleep, sleep duration ≤5 hours was associated with higher multimorbidity risk (hazard ratio: 1.30, 95% confidence interval = 1.12 to 1.50; p < 0.001). This was also the case for short sleep duration at age 60 (1.32, 1.13 to 1.55; p < 0.001) and 70 (1.40, 1.16 to 1.68; p < 0.001). Sleep duration ≥9 hours at age 60 (1.54, 1.15 to 2.06; p = 0.003) and 70 (1.51, 1.10 to 2.08; p = 0.01) but not 50 (1.39, 0.98 to 1.96; p = 0.07) was associated with incident multimorbidity. Among 7,217 participants free of chronic disease at age 50 (mean follow-up = 25.2 years), 4,446 developed a first chronic disease, 2,297 progressed to multimorbidity, and 787 subsequently died. Compared to 7-hour sleep, sleeping ≤5 hours at age 50 was associated with an increased risk of a first chronic disease (1.20, 1.06 to 1.35; p = 0.003) and, among those who developed a first disease, with subsequent multimorbidity (1.21, 1.03 to 1.42; p = 0.02). Sleep duration ≥9 hours was not associated with these transitions. No association was found between sleep duration and mortality among those with existing chronic diseases. The study limitations include the small number of cases in the long sleep category, not allowing conclusions to be drawn for this category, the self-reported nature of sleep data, the potential for reverse causality that could arise from undiagnosed conditions at sleep measures, and the small proportion of non-white participants, limiting generalization of findings. CONCLUSIONS In this study, we observed short sleep duration to be associated with risk of chronic disease and subsequent multimorbidity but not with progression to death. There was no robust evidence of an increased risk of chronic disease among those with long sleep duration at age 50. Our findings suggest an association between short sleep duration and multimorbidity.
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Lindbohm JV, Mars N, Sipilä PN, Singh-Manoux A, Runz H, Livingston G, Seshadri S, Xavier R, Hingorani AD, Ripatti S, Kivimäki M. Immune system-wide Mendelian randomization and triangulation analyses support autoimmunity as a modifiable component in dementia-causing diseases. NATURE AGING 2022; 2:956-972. [PMID: 37118290 PMCID: PMC10154235 DOI: 10.1038/s43587-022-00293-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/05/2022] [Indexed: 04/30/2023]
Abstract
Immune system and blood-brain barrier dysfunction are implicated in the development of Alzheimer's and other dementia-causing diseases, but their causal role remains unknown. We performed Mendelian randomization for 1,827 immune system- and blood-brain barrier-related biomarkers and identified 127 potential causal risk factors for dementia-causing diseases. Pathway analyses linked these biomarkers to amyloid-β, tau and α-synuclein pathways and to autoimmunity-related processes. A phenome-wide analysis using Mendelian randomization-based polygenic risk score in the FinnGen study (n = 339,233) for the biomarkers indicated shared genetic background for dementias and autoimmune diseases. This association was further supported by human leukocyte antigen analyses. In inverse-probability-weighted analyses that simulate randomized controlled drug trials in observational data, anti-inflammatory methotrexate treatment reduced the incidence of Alzheimer's disease in high-risk individuals (hazard ratio compared with no treatment, 0.64, 95% confidence interval 0.49-0.88, P = 0.005). These converging results from different lines of human research suggest that autoimmunity is a modifiable component in dementia-causing diseases.
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Affiliation(s)
- Joni V Lindbohm
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA.
- Department of Epidemiology and Public Health, University College London, London, UK.
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.
| | - Nina Mars
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Pyry N Sipilä
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Heiko Runz
- Research & Development, Biogen Inc., Cambridge, MA, USA
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Sudha Seshadri
- Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- Boston University School of Public Health, Boston, MA, USA
- New York University Grossman School of Medicine, New York, NY, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Ramnik Xavier
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, London, UK
- University College London, British Heart Foundation Research Accelerator, London, UK
- Health Data Research UK, London, UK
| | - Samuli Ripatti
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
- Division of Psychiatry, University College London, London, UK
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Machado-Fragua MD, Landré B, Chen M, Fayosse A, Dugravot A, Kivimaki M, Sabia S, Singh-Manoux A. Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study. BMC Med 2022; 20:334. [PMID: 36163029 PMCID: PMC9513883 DOI: 10.1186/s12916-022-02519-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 08/08/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Age is the strongest risk factor for dementia and there is considerable interest in identifying scalable, blood-based biomarkers in predicting dementia. We examined the role of midlife serum metabolites using a machine learning approach and determined whether the selected metabolites improved prediction accuracy beyond the effect of age. METHODS Five thousand three hundred seventy-four participants from the Whitehall II study, mean age 55.8 (standard deviation (SD) 6.0) years in 1997-1999 when 233 metabolites were quantified using nuclear magnetic resonance metabolomics. Participants were followed for a median 21.0 (IQR 20.4, 21.7) years for clinically-diagnosed dementia (N=329). Elastic net penalized Cox regression with 100 repetitions of nested cross-validation was used to select models that improved prediction accuracy for incident dementia compared to an age-only model. Risk scores reflecting the frequency with which predictors appeared in the selected models were constructed, and their predictive accuracy was examined using Royston's R2, Akaike's information criterion, sensitivity, specificity, C-statistic and calibration. RESULTS Sixteen of the 100 models had a better c-statistic compared to an age-only model and 15 metabolites were selected at least once in all 16 models with glucose present in all models. Five risk scores, reflecting the frequency of selection of metabolites, and a 1-SD increment in all five risk scores was associated with higher dementia risk (HR between 3.13 and 3.26). Three of these, constituted of 4, 5 and 15 metabolites, had better prediction accuracy (c-statistic from 0.788 to 0.796) compared to an age-only model (c-statistic 0.780), all p<0.05. CONCLUSIONS Although there was robust evidence for the role of glucose in dementia, metabolites measured in midlife made only a modest contribution to dementia prediction once age was taken into account.
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Affiliation(s)
- Marcos D Machado-Fragua
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.
| | - Benjamin Landré
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Mathilde Chen
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Aurore Fayosse
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Aline Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Séverine Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
| | - Archana Singh-Manoux
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
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Machado-Fragua MD, Fayosse A, Yerramalla MS, van Sloten TT, Tabak AG, Kivimaki M, Sabia S, Singh-Manoux A. Association of Metabolic Syndrome With Incident Dementia: Role of Number and Age at Measurement of Components in a 28-Year Follow-up of the Whitehall II Cohort Study. Diabetes Care 2022; 45:2127-2135. [PMID: 35819815 PMCID: PMC9472484 DOI: 10.2337/dc22-0206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/31/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Previous research suggests an inconsistent association between Metabolic syndrome (MetS) and incident dementia. We examined the role of number of MetS components and age at their assessment for incident dementia. RESEARCH DESIGN AND METHODS MetS components (fasting glucose, triglycerides, waist circumference, blood pressure, and HDL cholesterol) on 7,265, 6,660, and 3,608 participants at <60, 60 to <70, and ≥70 years of age were used to examine associations with incident dementia using cause-specific Cox regression. RESULTS Analyses of MetS measured at <60, 60 to <70, and ≥70 years involved 393 (5.4%), 497 (7.5%), and 284 (7.9%) dementia cases over a median follow-up of 20.8, 10.4, and 4.2 years, respectively. Every additional MetS component before 60 (hazard ratio [HR] 1.13 [95% CI 1.05, 1.23]) and 60 to <70 (HR 1.08 [95% CI 1.00, 1.16]) but not ≥70 years (HR 1.04 [95% CI 0.96, 1.13]) was associated with higher dementia risk. MetS defined conventionally (≥3 components) before 60 years (HR 1.23 [95% CI 0.96, 1.57]), between 60 and 70 years (HR 1.14 [95% CI 0.91, 1.42]), or >70 years of age (HR 1.10 [95% CI 0.86, 1.40]) was not associated with incident dementia. Multistate models showed higher risk of dementia in those with ≥1 (HR 1.99 [95% CI 1.08, 3.66]) and ≥2 MetS components (HR 1.69 [95% CI 1.12, 2.56]) before 60 years of age, even when they remained free of cardiovascular disease over the follow-up. CONCLUSIONS Risk of incident dementia increases with every additional MetS component present in midlife rather than after accumulation of three components; only part of this risk is mediated by cardiovascular disease.
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Affiliation(s)
- Marcos D Machado-Fragua
- INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, Paris, France
| | - Aurore Fayosse
- INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, Paris, France
| | - Manasa Shanta Yerramalla
- INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, Paris, France
| | - Thomas T van Sloten
- School for Cardiovascular Diseases (CARIM) and Department of Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Adam G Tabak
- Department of Epidemiology and Public Health, University College London, London, U.K.,Department of Internal Medicine and Oncology, Semmelweis University Faculty of Medicine, Budapest, Hungary.,Department of Public Health, Semmelweis University Faculty of Medicine, Budapest, Hungary
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, U.K
| | - Séverine Sabia
- INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, Paris, France.,Department of Epidemiology and Public Health, University College London, London, U.K
| | - Archana Singh-Manoux
- INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, Paris, France.,Department of Epidemiology and Public Health, University College London, London, U.K
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Åberg F, Luukkonen PK, But A, Salomaa V, Britton A, Petersen KM, Bojesen SE, Balling M, Nordestgaard BG, Puukka P, Männistö S, Lundqvist A, Perola M, Jula A, Färkkilä M. Development and validation of a model to predict incident chronic liver disease in the general population: The CLivD score. J Hepatol 2022; 77:302-311. [PMID: 35271949 DOI: 10.1016/j.jhep.2022.02.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 02/07/2022] [Accepted: 02/15/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND & AIMS Current screening strategies for chronic liver disease focus on detection of subclinical advanced liver fibrosis but cannot identify those at high future risk of severe liver disease. Our aim was to develop and validate a risk prediction model for incident chronic liver disease in the general population based on widely available factors. METHODS Multivariable Cox regression analyses were used to develop prediction models for liver-related outcomes with and without laboratory measures (Modellab and Modelnon-lab) in 25,760 individuals aged 40-70 years. Their data were sourced from the Finnish population-based health examination surveys FINRISK 1992-2012 and Health 2000 (derivation cohort). The models were externally validated in the Whitehall II (n = 5,058) and Copenhagen City Heart Study (CCHS) (n = 3,049) cohorts. RESULTS The absolute rate of incident liver outcomes per 100,000 person-years ranged from 53 to 144. The final prediction model included age, sex, alcohol use (drinks/week), waist-hip ratio, diabetes, and smoking, and Modellab also included gamma-glutamyltransferase values. Internally validated Wolbers' C-statistics were 0.77 for Modellab and 0.75 for Modelnon-lab, while apparent 15-year AUCs were 0.84 (95% CI 0.75-0.93) and 0.82 (95% CI 0.74-0.91). The models identified a small proportion (<2%) of the population with >10% absolute 15-year risk for liver events. Of all liver events, only 10% occurred in participants in the lowest risk category. In the validation cohorts, 15-year AUCs were 0.78 (Modellab) and 0.65 (Modelnon-lab) in the CCHS cohort, and 0.78 (Modelnon-lab) in the Whitehall II cohort. CONCLUSIONS Based on widely available risk factors, the Chronic Liver Disease (CLivD) score can be used to predict risk of future advanced liver disease in the general population. LAY SUMMARY Liver disease often progresses silently without symptoms and thus the diagnosis is often delayed until severe complications occur and prognosis becomes poor. In order to identify individuals in the general population who have a high risk of developing severe liver disease in the future, we developed and validated a Chronic Liver Disease (CLivD) risk prediction score, based on age, sex, alcohol use, waist-hip ratio, diabetes, and smoking, with or without measurement of the liver enzyme gamma-glutamyltransferase. The CLivD score can be used as part of health counseling, and for planning further liver investigations and follow-up.
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Affiliation(s)
- Fredrik Åberg
- Transplantation and Liver Surgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
| | - Panu K Luukkonen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Anna But
- Biostatistics Consulting, Department of Public Health, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | - Annie Britton
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Kasper Meidahl Petersen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Stig Egil Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Frederiksberg, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Mie Balling
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Frederiksberg, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Pauli Puukka
- Clinicum, University of Helsinki, Helsinki, Finland
| | | | | | | | - Antti Jula
- Finnish Institute for Health and Welfare, Finland
| | - Martti Färkkilä
- Helsinki University and Helsinki University Hospital, Abdominal Center, Helsinki, Finland
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43
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Hayat S, Luben R, Khaw KT, Wareham N, Brayne C. Evaluation of routinely collected records for dementia outcomes in UK: a prospective cohort study. BMJ Open 2022; 12:e060931. [PMID: 35705339 PMCID: PMC9204445 DOI: 10.1136/bmjopen-2022-060931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES To evaluate the characteristics of individuals recorded as having a dementia diagnosis in different routinely collected records and to examine the extent of overlap of dementia coding across data sources. Also, to present comparisons of secondary and primary care records providing value for researchers using routinely collected records for dementia outcome capture. STUDY DESIGN A prospective cohort study. SETTING AND PARTICIPANTS A cohort of 25 639 men and women in Norfolk, aged 40-79 years at recruitment (1993-1997) followed until 2018 linked to routinely collected to identify dementia cases. Data sources include mortality from death certification and National Health Service (NHS) hospital or secondary care records. Primary care records for a subset of the cohort were also reviewed. PRIMARY OUTCOME MEASURE Diagnosis of dementia (any-cause). RESULTS Over 2000 participants (n=2635 individuals) were found to have a dementia diagnosis recorded in one or more of the data sources examined. Limited concordance was observed across the secondary care data sources. We also observed discrepancies with primary care records for the subset and report on potential linkage-related selection bias. CONCLUSIONS Use of different types of record linkage from varying parts of the UK's health system reveals differences in recorded dementia diagnosis, indicating that dementia can be identified to varying extents in different parts of the NHS system. However, there is considerable variation, and limited overlap in those identified. We present potential selection biases that might occur depending on whether cause of death, or primary and secondary care data sources are used. With the expansion of using routinely collected health data, researchers must be aware of these potential biases and inaccuracies, reporting carefully on the likely extent of limitations and challenges of the data sources they use.
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Affiliation(s)
- Shabina Hayat
- Department of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Robert Luben
- MRC Epidemiology Unit, Cambridge, Cambridgeshire, UK
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Kay-Tee Khaw
- MRC Epidemiology Unit, Cambridge, Cambridgeshire, UK
| | | | - Carol Brayne
- Department of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK
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Flicker L, Anstey KJ, Almeida OP, Waller M, Fitzgerald P, de Crespigny F, Vu T, Dobson AJ. Differing Methodologies Are Required to Estimate Prevalence of Dementia: Single Study Types Are No Longer Reliable. J Alzheimers Dis 2022; 88:943-948. [PMID: 35723102 DOI: 10.3233/jad-220093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Population-based surveys were used to estimate community prevalence of dementia, but have low response fractions due, among other things, to difficulties in obtaining informed consent from people with diminished capacity. Cohort studies of younger people are subject to recruitment bias and non-random drop-outs. Dementia registries can delineate sub-types of dementia but have limited population coverage and are costly to maintain. Administrative datasets have low costs but may be subject to selection bias and uncertain sensitivity. We propose that astute combination of methodologies, including assessment of coverage and validity of administrative datasets, is the most cost-effective process to estimate and monitor community prevalence.
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Affiliation(s)
- Leon Flicker
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Australia
| | - Kaarin J Anstey
- University of New South Wales, UNSW Ageing Futures Institute, Sydney, Australia
| | - Osvaldo P Almeida
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Australia
| | - Michael Waller
- University of Queensland, School of Public Health, Faculty of Medicine, Brisbane, Queensland, Australia
| | - Patrick Fitzgerald
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Australia
| | | | - Thao Vu
- Australian Institute of Health and Welfare, Canberra, Australia
| | - Annette J Dobson
- University of Queensland, School of Public Health, Faculty of Medicine, Brisbane, Queensland, Australia
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Parish S, Mafham M, Offer A, Barton J, Wallendszus K, Stevens W, Buck G, Haynes R, Collins R, Bowman L, Armitage J. Effects of aspirin on dementia and cognitive function in diabetic patients: the ASCEND trial. Eur Heart J 2022; 43:2010-2019. [PMID: 35393614 PMCID: PMC9242621 DOI: 10.1093/eurheartj/ehac179] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 02/22/2022] [Accepted: 03/22/2022] [Indexed: 12/31/2022] Open
Abstract
AIMS Aspirin is widely used in cardiovascular disease prevention but is also associated with an increased risk of bleeding. The net effect of aspirin on dementia and cognitive impairment is uncertain. METHODS AND RESULTS In the ASCEND trial, 15 480 people from the UK with diabetes and no history of cardiovascular disease were randomized to aspirin 100 mg daily or matching placebo for a mean of 7.4 years. The 15 427 ASCEND participants with no recorded dementia prior to baseline were included in this cognitive study with a primary pre-specified outcome of 'broad dementia', comprising dementia, cognitive impairment, or confusion. This was ascertained through participant, carer, or general practitioner report or hospital admission diagnosis, by 31 March 2019 (∼2 years beyond the scheduled treatment period). The broad dementia outcome occurred in a similar percentage of participants in the aspirin group and placebo group: 548 participants (7.1%) vs. 598 (7.8%), rate ratio 0.91 [95% confidence interval (CI), 0.81-1.02]. Thus, the CI excluded proportional hazards of >2% and proportional benefits of >19%. CONCLUSION Aspirin does not have a large proportional effect on the risk of dementia. Trials or meta-analyses with larger total numbers of incident dementia cases to increase statistical power are needed to assess whether any modest proportional 10-15% benefits of 5-7 years of aspirin use on dementia exist. CLINICAL TRIAL REGISTRATION Current Controlled Trials number, ISRCTN60635500; ClinicalTrials.gov number: NCT00135226.
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Affiliation(s)
- Sarah Parish
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Marion Mafham
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alison Offer
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jill Barton
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Karl Wallendszus
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - William Stevens
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Georgina Buck
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Richard Haynes
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Louise Bowman
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jane Armitage
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Long-term low-dose acetylsalicylic use shows protective potential for the development of both vascular dementia and Alzheimer's disease in patients with coronary heart disease but not in other individuals from the general population: results from two large cohort studies. Alzheimers Res Ther 2022; 14:75. [PMID: 35624487 PMCID: PMC9145441 DOI: 10.1186/s13195-022-01017-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/12/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND No population-based cohort study investigated a potential inverse association between long-term low-dose acetylsalicylic acid (ASA) use and all-cause dementia and its two most common sub-types Alzheimer's disease (AD) and vascular dementia (VD) so far. METHODS Cox regression models with inverse probability of treatment weighting to model the underlying cardiovascular risk were used to assess the associations of low-dose ASA use with all-cause dementia, AD, and VD incidence in community-dwelling older adults from the German ESTHER study (N = 5258) and the UK Biobank (N = 305,394). Inclusion criteria were age of 55 years or older and completed drug assessment. Meta-analyses of the individual participant data from the two prospective cohort studies were performed. RESULTS Four hundred seventy-six cases of all-cause dementia, 157 cases of AD, and 183 cases of VD were diagnosed over a median of 14.3 years of follow-up in ESTHER. In the UK Biobank, 5584 participants were diagnosed with all-cause dementia, 2029 with AD, and 1437 with VD over a median of 11.6 years. The meta-analysis of both cohorts revealed a weak reduction in hazards for all-cause dementia (hazard ratio (HR) [95% confidence interval (CI)]: 0.96 [0.93 to 0.99]). The strongest protective effect of low-dose ASA was observed in participants with coronary heart disease (CHD) in both cohorts, and a significant interaction was detected. In particular, in meta-analysis, a 31% reduction in hazard for AD, 69% for VD and 34% for all-cause dementia were observed (HR [95% CI]: 0.69 [0.59 to 0.80], 0.31 [0.27 to 0.35], 0.46 [0.42 to 0.50], respectively). Furthermore, compared to non-users, users of low-dose ASA for 10 years or longer (who likely use it because they have CHD or a related diagnosis putting them at an increased risk for cardiovascular events) demonstrated a strong protective effect on all dementia outcomes, especially for VD (HR [95% CI]: 0.48 [0.42 to 0.56]) whereas no protective associations were observed with shorter low-dose ASA use. CONCLUSIONS The protective potential of low-dose ASA for all-cause dementia, AD, and VD seems to strongly depend on pre-existing CHD and the willingness of patients to take it for a minimum of ten years.
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Lindbohm JV, Mars N, Walker KA, Singh‐Manoux A, Livingston G, Brunner EJ, Sipilä PN, Saksela K, Ferrie JE, Lovering RC, Williams SA, Hingorani AD, Gottesman RF, Zetterberg H, Kivimäki M. Plasma proteins, cognitive decline, and 20-year risk of dementia in the Whitehall II and Atherosclerosis Risk in Communities studies. Alzheimers Dement 2022; 18:612-624. [PMID: 34338426 PMCID: PMC9292245 DOI: 10.1002/alz.12419] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/21/2021] [Accepted: 06/09/2021] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Plasma proteins affect biological processes and are common drug targets but their role in the development of Alzheimer's disease and related dementias remains unclear. We examined associations between 4953 plasma proteins and cognitive decline and risk of dementia in two cohort studies with 20-year follow-ups. METHODS In the Whitehall II prospective cohort study proteins were measured using SOMAscan technology. Cognitive performance was tested five times over 20 years. Linkage to electronic health records identified incident dementia. The results were replicated in the Atherosclerosis Risk in Communities (ARIC) study. RESULTS Fifteen non-amyloid/non-tau-related proteins were associated with cognitive decline and dementia, were consistently identified in both cohorts, and were not explained by known dementia risk factors. Levels of six of the proteins are modifiable by currently approved medications for other conditions. DISCUSSION This study identified several plasma proteins in dementia-free people that are associated with long-term risk of cognitive decline and dementia.
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Affiliation(s)
- Joni V. Lindbohm
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM) HiLIFEUniversity of HelsinkiHelsinkiFinland
| | - Keenan A. Walker
- Laboratory of Behavioral NeuroscienceIntramural Research ProgramNational Institute on AgingBaltimoreMarylandUSA
| | - Archana Singh‐Manoux
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Epidemiology of Ageing and Neurodegenerative diseasesUniversité de ParisParisFrance
| | - Gill Livingston
- Division of PsychiatryUniversity College LondonLondonUK
- Camden and Islington Foundation TrustLondonUK
| | - Eric J. Brunner
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - Pyry N. Sipilä
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
| | - Kalle Saksela
- Department of VirologyUniversity of Helsinki and HUSLAB, Helsinki University HospitalHelsinkiFinland
| | - Jane E. Ferrie
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Bristol Medical School (PHS)University of BristolBristolUK
| | - Ruth C. Lovering
- Functional Gene AnnotationInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
| | | | - Aroon D. Hingorani
- Institute of Cardiovascular ScienceUniversity College LondonLondonUK
- British Heart Foundation Research AcceleratorUniversity College LondonLondonUK
- Health Data ResearchLondonUK
| | | | - Henrik Zetterberg
- Department of Neurodegenerative Disease and UK Dementia Research InstituteUniversity College LondonLondonUK
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Mika Kivimäki
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
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Wilkinson T, Schnier C, Bush K, Rannikmäe K, Lyons RA, McTaggart S, Bennie M, Sudlow CL. Drug prescriptions and dementia incidence: a medication-wide association study of 17000 dementia cases among half a million participants. J Epidemiol Community Health 2022; 76:223-229. [PMID: 34706926 PMCID: PMC8862053 DOI: 10.1136/jech-2021-217090] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/30/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Previous studies have suggested that some medications may influence dementia risk. We conducted a hypothesis-generating medication-wide association study to investigate systematically the association between all prescription medications and incident dementia. METHODS We used a population-based cohort within the Secure Anonymised Information Linkage (SAIL) databank, comprising routinely-collected primary care, hospital admissions and mortality data from Wales, UK. We included all participants born after 1910 and registered with a SAIL general practice at ≤60 years old. Follow-up was from each participant's 60th birthday to the earliest of dementia diagnosis, deregistration from a SAIL general practice, death or the end of 2018. We considered participants exposed to a medication if they received ≥1 prescription for any of 744 medications before or during follow-up. We adjusted for sex, smoking and socioeconomic status. The outcome was any all-cause dementia code in primary care, hospital or mortality data during follow-up. We used Cox regression to calculate hazard ratios and Bonferroni-corrected p values. RESULTS Of 551 344 participants, 16 998 (3%) developed dementia (median follow-up was 17 years for people who developed dementia, 10 years for those without dementia). Of 744 medications, 221 (30%) were associated with dementia. Of these, 217 (98%) were associated with increased dementia incidence, many clustering around certain indications. Four medications (all vaccines) were associated with a lower dementia incidence. CONCLUSIONS Almost a third of medications were associated with dementia. The clustering of many drugs around certain indications may provide insights into early manifestations of dementia. We encourage further investigation of hypotheses generated by these results.
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Affiliation(s)
- Tim Wilkinson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK .,Usher Institute, The University of Edinburgh, Edinburgh, UK
| | | | - Kathryn Bush
- Usher Institute, The University of Edinburgh, Edinburgh, UK
| | | | - Ronan A Lyons
- National Centre for Population Health and Wellbeing Research, Swansea University, Swansea, UK.,HDR UK Wales and Northern Ireland, Health Data Research UK, London, UK
| | - Stuart McTaggart
- Public Health and Intelligence Strategic Business Unit, NHS National Services Scotland, Edinburgh, UK
| | - Marion Bennie
- Public Health and Intelligence Strategic Business Unit, NHS National Services Scotland, Edinburgh, UK.,Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Cathie Lm Sudlow
- Usher Institute, The University of Edinburgh, Edinburgh, UK.,HDR UK Scotland, Health Data Research UK, London, UK
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49
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Armstrong M, Aker N, Nair P, Walters K, Barrado‐Martin Y, Kupeli N, Sampson EL, Manthorpe J, West E, Davies N. Trust and inclusion during the Covid-19 pandemic: Perspectives from Black and South Asian people living with dementia and their carers in the UK. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5689. [PMID: 35137453 PMCID: PMC9015357 DOI: 10.1002/gps.5689] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/26/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION People from ethnic minority backgrounds living with dementia are more likely to be diagnosed later and have less access to health and social care support than their White counterparts in the United Kingdom (UK). Covid-19 has exacerbated health inequalities and diminished trust from underserved communities in the government and health services. The wider aim of the study was to explore the impact of covid-19 on Black and South-Asian people living with dementia and their carers as well as exploring the experiences of dementia care. The present paper specifically explores their views on trust and mistrust using an ecological model. METHOD Semi-structured interviews were conducted with 11 family carers and four people living with dementia from South Asian or Black communities living in the community. Thematic analysis was used to analyse data. DESIGN An exploratory qualiative design was used. RESULTS Four main themes were developed exploring trust at the structural, organisational, community and individual level. At the structural level, participants discussed the inequity of Covid-19, some lack of trust in the UK Government and confusion in its messaging, and the anxiety sometimes leading to curtailment of media usage. At the organisational level, there was some evidence of a perceived lack of person-centred and culturally sensitive care from healthcare professionals, as well as concerns around care homes as places of safety. At the neighbourhood community level, participants discussed both a distrust as well as a strengthening of relationships and, at the individual level, factors such as knowledge of services, identity, and faith influenced their experience of the pandemic. CONCLUSIONS People living with dementia need support at all levels and this study highlights how the pandemic impacted each level. Ways to improve trust in the Government and health professionals alongside culturally adapted health messaging should be explored. Alongside this, an examination of how cultural values and norms may influence help-seeking responses to dementia and increase trust in services may be helpful post-pandemic.
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Affiliation(s)
- Megan Armstrong
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK
| | - Narin Aker
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK
| | - Pushpa Nair
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK
| | - Kate Walters
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK
| | - Yolanda Barrado‐Martin
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK
| | - Nuriye Kupeli
- Marie Curie Palliative Care Research Department, Division of PsychiatryUniversity College LondonLondonUK
| | - Elizabeth L. Sampson
- Marie Curie Palliative Care Research Department, Division of PsychiatryUniversity College LondonLondonUK
| | | | - Emily West
- Marie Curie Palliative Care Research Department, Division of PsychiatryUniversity College LondonLondonUK
| | - Nathan Davies
- Research Department of Primary Care and Population Health, Institute of Epidemiology and Health CareUniversity College London (UCL)LondonUK,Marie Curie Palliative Care Research Department, Division of PsychiatryUniversity College LondonLondonUK
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50
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Hua CL, Thomas KS, Bunker J, Gozalo PL, Belanger E, Mitchell SL, Teno JM. Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set. J Am Geriatr Soc 2022; 70:846-853. [PMID: 34797565 PMCID: PMC8904279 DOI: 10.1111/jgs.17564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/20/2021] [Accepted: 10/24/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND Individuals with dementia do not always have a diagnosis of dementia noted on their hospital claims. Whether this lack of documentation is associated with patient outcomes is unknown. We examined the association between a dementia diagnosis listed on a hospital claim and patient outcomes among individuals with a Minimum Data Set (MDS) assessment. METHODS A retrospective cohort study was conducted using administrative claims data and nursing home MDS assessments. Hospitalized patients aged 66 and older with advanced dementia noted on an MDS assessment completed within 120 days prior to their first hospitalization in 2017 were included. Advanced dementia was defined based on an MDS diagnosis of dementia, dependency in four or more activities of daily living, and a Cognitive Function Scale score indicative of moderate to severe impairment. Multilevel regression with a random intercept at the hospital level was used to examine the relationship between documentation of dementia in inpatient hospital Medicare claims and the following patient outcomes after adjusting for patient and hospital characteristics: invasive mechanical ventilation (IMV) use, intensive care unit or coronary care unit (ICU/CCU) use, 30-day mortality, and hospital length of stay (LOS). RESULTS In 2017, among 120,989 patients with advanced dementia and a nursing home stay, 90.57% had a dementia diagnosis on their hospital claims. In adjusted models, documentation of a dementia diagnosis was associated with lower use of the ICU/CCU (adjusted odds ratio [AOR]: 0.78 [95% confidence interval 0.74, 0.81]), use of IMV (AOR: 0.50 [0.47, 0.54]), and 30-day mortality (AOR: 0.81 [0.77, 0.85]). Patients with a dementia diagnosis had a shorter LOS. CONCLUSIONS Among patients with advanced dementia, those whose dementia diagnosis was documented on their inpatient hospital Medicare claim experienced lower use of ICU/CCU, use of IMV, lower 30-day mortality, and shorter LOS than those whose diagnosis was not documented.
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Affiliation(s)
- Cassandra L. Hua
- School of Public Health, Brown University, Providence, Rhode Island,Corresponding author: Cassandra Hua: Box G-S121-4, 121 S. Main Street, Providence, RI 02912, , Twitter: @CassandraHua
| | - Kali S. Thomas
- School of Public Health, Brown University, Providence, Rhode Island,Department of Veterans Affairs Medical Center, Providence, Rhode Island
| | - Jennifer Bunker
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland
| | - Pedro L. Gozalo
- School of Public Health, Brown University, Providence, Rhode Island,Department of Veterans Affairs Medical Center, Providence, Rhode Island
| | | | - Susan L. Mitchell
- Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, Boston, Massachusetts,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Joan M. Teno
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland
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