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Tian F, Qian Z, Zhang Z, Liu Y, Wu G, Wang C, McMillin SE, Bingheim E, Lin H. Air pollution, APOE genotype and risk of dementia among individuals with cardiovascular diseases: A population-based longitudinal study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 347:123758. [PMID: 38492747 DOI: 10.1016/j.envpol.2024.123758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024]
Abstract
Individuals with cardiovascular disease (CVD) are particularly vulnerable to dementia, but it remains unclear whether air pollution exposure links with higher risk of dementia among those with CVD. The data were derived from the UK Biobank study (UKB). Dementia-free participants with CVD at baseline were included. Air pollution exposure was assessed through land use regression models, including particulate matter (PM2.5, PM2.5-10, and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX). A Cox proportional hazards model was used to investigate the associations between air pollution exposure and incident dementia among individuals with CVD. Air pollution was associated with dementia among individuals with CVD, and the hazard ratios of dementia associated with each interquartile range (IQR) μg/m3 increase in air pollution were 1.07 (95% CI: 1.02, 1.12) for PM2.5, 1.10 (95% CI: 1.04, 1.15) for PM10, 1.08 (95% CI: 1.03, 1.14) for NO2 and 1.05 (95% CI: 1.00, 1.09) for NOx. Associations between air pollution and all-cause dementia were found to be significant among individuals with hypertension. Adverse effects of air pollution were also observed for Alzheimer's dementia (AD) and vascular dementia (VaD), with a higher effect for AD. Observed associations remained similar in subgroups of APOE ε4 carriers and noncarriers, although there was a higher risk difference across different air pollution concentration among these individuals carrying APOE ε4. Air pollution emerges as a critical risk factor for dementia among individuals with CVD, regardless of genetic susceptibility indicated by the APOE genotype. Notably, individuals with hypertension might be susceptible to the adverse effects of air pollution, leading to a higher incidence of dementia. Understanding these impacts on dementia among individuals with CVD may promote better targeted prevention and clinical management strategies.
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Affiliation(s)
- Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | | | - Elizabeth Bingheim
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Ferreira NV, Gonçalves NG, Szlejf C, Goulart AC, de Souza Santos I, Duncan BB, Schmidt MI, Barreto SM, Caramelli P, Feter N, Castilhos RM, Drager LF, Lotufo P, Benseñor I, Suemoto CK. Optimal cardiovascular health is associated with slower cognitive decline. Eur J Neurol 2024; 31:e16139. [PMID: 38015440 PMCID: PMC11235920 DOI: 10.1111/ene.16139] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Life's Simple 7, a lifestyle and cardiovascular index associated with cognition, has been updated to Life's Essential 8 (LE8) to include sleep. LE8 has been related to cardiovascular outcomes but its association with cognition is unclear. METHODS In this longitudinal analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), LE8 score was based on health behaviors (diet, physical activity, nicotine exposure, and sleep health) as well as health-related factors (body mass index, blood lipids, blood glucose, and blood pressure). Cognition was assessed in three waves, 4 years apart, using the Consortium to Establish a Registry for Alzheimer's Disease - Word List, semantic and phonemic verbal fluency, the Trail-Making Test B (TMT-B), and a global composite score. We used linear mixed-model analysis, inverse probability weighting, and interaction analysis. RESULTS At baseline, the mean age of the study cohort was 51.4 ± 8.9 years, 56% were women, and 53% were White. Higher baseline LE8 scores were associated with slower decline in global cognition (β = 0.001, 95% confidence interval [CI] 0.001, 0.002; p < 0.001), memory (β = 0.001, 95% CI 0.000, 0.002; p = 0.013), verbal fluency (β = 0.001, 95% CI 0.000, 0.002; p = 0.003), and TMT-B (β = 0.004, 95% CI 0.003, 0.005; p < 0.001). This association was mainly driven by LE8 health factors, particularly blood glucose and blood pressure. Age, sex, and race were modifiers of the association between LE8 and global cognitive decline (p < 0.001), suggesting it was more pronounced in older, male, and Black participants. CONCLUSIONS Higher baseline LE8 scores were associated with slower global and domain-specific cognitive decline during 8 years of follow-up, mainly due to health factors such as blood glucose and blood pressure. Sociodemographic factors were modifiers of this association.
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Affiliation(s)
- Naomi Vidal Ferreira
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
- Faculdade Adventista da AmazoniaBenevidesBrazil
| | | | - Claudia Szlejf
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
| | - Alessandra C. Goulart
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
| | - Itamar de Souza Santos
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
- Department of Internal Medicine, Faculdade de MedicinaUniversidade de Sao PauloSao PauloBrazil
| | - Bruce B. Duncan
- Postgraduate Program in EpidemiologyUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
- Hospital de Clínicas de Porto AlegreUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Maria Inês Schmidt
- Postgraduate Program in EpidemiologyUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
- Hospital de Clínicas de Porto AlegreUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Sandhi Maria Barreto
- Deparment of Preventive and Social Medicine, Faculdade de MedicinaUniversidade Federal de Minas GeraisBelo HorizonteBrazil
| | - Paulo Caramelli
- Behavioral and Cognitive Research Group, Departamento de Clínica Médica, Faculdade de MedicinaUniversidade Federal de Minas GeraisBelo HorizonteBrazil
| | - Natan Feter
- Postgraduate Program in EpidemiologyUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | | | - Luciano F. Drager
- Unidade de Hipertensão, Instituto do Coracao (InCor), Hospital das Clinicas, Faculdade de MedicinaUniversidade de Sao PauloSao PauloBrazil
- Unidade de Hipertensão, Disciplina de Nefrologia, Hospital das Clinicas, Faculdade de MedicinaUniversidade de Sao PauloSao PauloBrazil
| | - Paulo Lotufo
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
| | - Isabela Benseñor
- Center for Clinical and Epidemiological Research, Hospital UniversitarioUniversidade de Sao PauloSao PauloBrazil
| | - Claudia Kimie Suemoto
- Division of Geriatrics, Faculdade de MedicinaUniversidade de Sao PauloSao PauloBrazil
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Dark HE, Paterson C, Daya GN, Peng Z, Duggan MR, Bilgel M, An Y, Moghekar A, Davatzikos C, Resnick SM, Loupy K, Simpson M, Candia J, Mosley T, Coresh J, Palta P, Ferrucci L, Shapiro A, Williams SA, Walker KA. Proteomic Indicators of Health Predict Alzheimer's Disease Biomarker Levels and Dementia Risk. Ann Neurol 2024; 95:260-273. [PMID: 37801487 PMCID: PMC10842994 DOI: 10.1002/ana.26817] [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: 05/05/2023] [Revised: 09/06/2023] [Accepted: 10/03/2023] [Indexed: 10/08/2023]
Abstract
OBJECTIVE Few studies have comprehensively examined how health and disease risk influence Alzheimer's disease (AD) biomarkers. The present study examined the association of 14 protein-based health indicators with plasma and neuroimaging biomarkers of AD and neurodegeneration. METHODS In 706 cognitively normal adults, we examined whether 14 protein-based health indices (ie, SomaSignal® tests) were associated with concurrently measured plasma-based biomarkers of AD pathology (amyloid-β [Aβ]42/40 , tau phosphorylated at threonine-181 [pTau-181]), neuronal injury (neurofilament light chain [NfL]), and reactive astrogliosis (glial fibrillary acidic protein [GFAP]), brain volume, and cortical Aβ and tau. In a separate cohort (n = 11,285), we examined whether protein-based health indicators associated with neurodegeneration also predict 25-year dementia risk. RESULTS Greater protein-based risk for cardiovascular disease, heart failure mortality, and kidney disease was associated with lower Aβ42/40 and higher pTau-181, NfL, and GFAP levels, even in individuals without cardiovascular or kidney disease. Proteomic indicators of body fat percentage, lean body mass, and visceral fat were associated with pTau-181, NfL, and GFAP, whereas resting energy rate was negatively associated with NfL and GFAP. Together, these health indicators predicted 12, 31, 50, and 33% of plasma Aβ42/40 , pTau-181, NfL, and GFAP levels, respectively. Only protein-based measures of cardiovascular risk were associated with reduced regional brain volumes; these measures predicted 25-year dementia risk, even among those without clinically defined cardiovascular disease. INTERPRETATION Subclinical peripheral health may influence AD and neurodegenerative disease processes and relevant biomarker levels, particularly NfL. Cardiovascular health, even in the absence of clinically defined disease, plays a central role in brain aging and dementia. ANN NEUROL 2024;95:260-273.
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Affiliation(s)
- Heather E. Dark
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | | | - Gulzar N. Daya
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Zhongsheng Peng
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Michael R. Duggan
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christos Davatzikos
- Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | | | | | - Julián Candia
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD USA
| | - Thomas Mosley
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Priya Palta
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD USA
| | - Allison Shapiro
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus
| | | | - Keenan A. Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
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Weaver OR, Ye M, Vena JE, Eurich DT, Proctor SD. Non-fasting lipids and cardiovascular disease in those with and without diabetes in Alberta's Tomorrow Project: A prospective cohort study. Diabet Med 2023; 40:e15133. [PMID: 37171453 DOI: 10.1111/dme.15133] [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: 11/08/2022] [Revised: 04/26/2023] [Accepted: 05/05/2023] [Indexed: 05/13/2023]
Abstract
AIMS Non-fasting remnant cholesterol (RC) is a novel marker of cardiovascular disease (CVD) risk, however, data on this relationship in Canadians with diabetes (at high risk of CVD) is lacking. The objective of this analysis was to determine the relationship of RC with CVD in individuals with and without diabetes in the Alberta's Tomorrow Project (ATP) cohort. METHODS Non-fasting lipid data collected as part of the ATP was linked to administrative health records (October 2000-March 2015) to ascertain incident CVD and prevalent diabetes. Participants without prevalent CVD or incident diabetes and who had complete, non-negative non-fasting lipid data collected with triglycerides <4.5 mmol/L were included (n = 13,631). The relationship between non-fasting RC and incident CVD diagnoses was assessed by Cox proportional hazards regression, after stratification by diabetes status. RESULTS Participants were 69.8% women with a mean age of 61.6 ± 9.7 years, and 6.5% had prevalent diabetes. Non-fasting RC was higher in participants with diabetes compared to those without (mean 0.94 ± 0.41 mmol/L vs. 0.77 ± 0.38 mmol/L, p < 0.0001) and was associated with increased risk of incident CVD among those without diabetes (adjusted hazard ratio (aHR) 1.22, 95% CI 1.03-1.43, p = 0.02). Although a similar trend was observed in participants with diabetes it did not reach statistical significance (aHR 1.31, 95% CI 0.84-2.05, p = 0.23). CONCLUSIONS Elevated non-fasting RC predicted increased CVD risk in middle and older-aged adults without diabetes; similar trends were observed in participants with diabetes and require further testing in a larger sample.
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Affiliation(s)
- Olivia R Weaver
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Ming Ye
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Jennifer E Vena
- Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alberta, Canada
| | - Dean T Eurich
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Spencer D Proctor
- Metabolic and Cardiovascular Diseases Laboratory, University of Alberta, Edmonton, Alberta, Canada
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Vishwanath S, Hopper I, Wolfe R, Polekhina G, Reid CM, Tonkin AM, Murray AM, Shah RC, Storey E, Woods RL, McNeil J, Orchard SG, Nelson MR, Steves CJ, Ryan J. Cognitive trajectories and incident dementia after a cardiovascular event in older adults. Alzheimers Dement 2023; 19:3670-3678. [PMID: 36856152 PMCID: PMC10440246 DOI: 10.1002/alz.13006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 03/02/2023]
Abstract
INTRODUCTION Cardiovascular disease (CVD) is a recognized risk factor for dementia. Here we determined the extent to which an incident CVD event modifies the trajectory of cognitive function and risk of dementia. METHODS 19,114 adults (65+) without CVD or dementia were followed prospectively over 9 years. Incident CVD (fatal coronary heart disease, nonfatal myocardial infarction [MI], stroke, hospitalization for heart failure) and dementia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria) were adjudicated by experts. RESULTS Nine hundred twenty-two participants had incident CVD, and 44 developed dementia after CVD (4.9% vs. 4.4% for participants without CVD). Following a CVD event there was a short-term drop in processing speed (-1.97, 95% confidence interval [CI]: -2.57 to -1.41), but there was no significant association with longer-term processing speed. In contrast, faster declines in trajectories of global function (-0.56, 95% CI: -0.76 to -0.36), episodic memory (-0.10, 95% CI: -0.16 to -0.04), and verbal fluency (-0.19, 95% CI: -0.30 to -0.01) were observed. DISCUSSION Findings highlight the importance of monitoring cognition after a CVD event.
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Affiliation(s)
- Swarna Vishwanath
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Ingrid Hopper
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Galina Polekhina
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Christopher M. Reid
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
- School of Public Health, Curtin University, Western Australia, Australia
| | - Andrew M. Tonkin
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Anne M. Murray
- Berman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Department of Medicine, Division of Geriatrics Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA
| | - Raj C. Shah
- Department of Family Medicine and the Rush Alzheimer’s Disease Centre, Rush University Medical Centre, Chicago, IL, USA
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - John McNeil
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Suzanne G. Orchard
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Mark R. Nelson
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Claire J. Steves
- Department of Twin Research & Genetic Epidemiology, King’s College London, United Kingdom
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
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Weaver OR, Krysa JA, Ye M, Vena JE, Eurich DT, Proctor SD. Nonfasting remnant cholesterol and cardiovascular disease risk prediction in Albertans: a prospective cohort study. CMAJ Open 2023; 11:E645-E653. [PMID: 37491049 PMCID: PMC10374248 DOI: 10.9778/cmajo.20210318] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND European studies have shown that nonfasting remnant cholesterol can be a strong predictor of cardiovascular disease risk and may contribute to identifying residual risk; however, Canadian data are lacking on nonfasting remnant cholesterol. In this study, we aimed to determine the relation between nonfasting remnant cholesterol, low-density lipoprotein (LDL) cholesterol and cardiovascular disease among people in Alberta. METHODS In this retrospective analysis, we used data from Alberta's Tomorrow Project, a large prospective cohort that enrolled Albertans aged 35-69 years (2000-2015). Participants with consent to data linkage, with complete nonfasting lipid data and without existing cardiovascular disease were included. The nonfasting remnant cholesterol and LDL cholesterol relation with a composite cardiovascular disease outcome of major incident cardiovascular diagnoses, ascertained by linking to Alberta Health databases, was determined by multivariable logistic regression, adjusting for age, sex, statin use, comorbidities, and LDL cholesterol or remnant cholesterol. RESULTS The final sample of 13 988 participants was 69.4% female, and the mean age was 61.8 (standard deviation [SD] 9.7) years. Follow-up time was approximately 15 years. Mean remnant cholesterol was significantly higher among individuals with versus without cardiovascular disease (0.87 [SD 0.40] mmol/L v. 0.78 [SD 0.38] mmol/L, standardized mean difference [SMD] -0.24), and mean LDL cholesterol was significantly lower (2.69 [SD 0.93] mmol/L v. 2.88 [SD 0.84] mmol/L, SMD 0.21). The odds of incident composite cardiovascular disease were significantly increased per mmol/L increase in remnant cholesterol (adjusted odds ratio [OR] 1.48, 95% confidence interval [CI] 1.27-1.73) but significantly decreased per mmol/L increase in LDL cholesterol (adjusted OR 0.73, 95% CI 0.68-0.79). INTERPRETATION In this large Albertan cohort of predominantly older females, nonfasting remnant cholesterol had a positive relation with cardiovascular disease incidence, whereas LDL cholesterol did not. These findings support the clinical utility of measuring non-fasting remnant cholesterol to detect cardiovascular disease risk.
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Affiliation(s)
- Olivia R Weaver
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta
| | - Jacqueline A Krysa
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta
| | - Ming Ye
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta
| | - Jennifer E Vena
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta
| | - Dean T Eurich
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta
| | - Spencer D Proctor
- School of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
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Abbel D, Åsvold BO, Kolberg M, Selbæk G, Noordam R, Skjellegrind HK. The Association between Coffee and Tea Consumption at Midlife and Risk of Dementia Later in Life: The HUNT Study. Nutrients 2023; 15:nu15112469. [PMID: 37299431 DOI: 10.3390/nu15112469] [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: 03/28/2023] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Studies exploring the possible protective effect of coffee and tea consumption on dementia have shown inconsistent results so far. We aimed to investigate whether consumption of tea and different types of coffee at midlife are associated with dementia later in life and whether sex or ApoE4 influence such association. METHODS We included 7381 participants from the Norwegian HUNT Study. Self-reported questionnaires assessed daily consumption of coffee and tea at baseline. After 22 years, individuals 70 years or older were screened for cognitive impairment. RESULTS General coffee consumption and tea consumption was not associated with dementia risk. Compared to daily consumption of 0-1 cups of coffee, daily consumption of ≥8 cups of boiled coffee was associated with increased dementia risk in women (OR: 1.83, 95% CI: 1.10-3.04, p-value for trend = 0.03) and daily consumption of 4-5 cups of other types of coffee was associated with a decrease in dementia risk in men (OR: 0.48, 95% CI: 0.32-0.72, p-value for trend = 0.05). Furthermore, the association between boiled coffee and increased dementia risk was only found in ApoE4 non-carriers. Differences by sex or ApoE4 carrier status were not supported by strong statistical evidence for interaction. Tea consumption was not associated with dementia risk. CONCLUSION type of coffee may play a role in the direction of the association between coffee-drinking habits and dementia later in life.
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Affiliation(s)
- Denise Abbel
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7600 Levanger, Norway
- Leiden University Medical Center, Department of Internal Medicine, Section of Gerontology and Geriatrics, 2333 ZA Leiden, The Netherlands
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Bjørn Olav Åsvold
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7600 Levanger, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Marit Kolberg
- Center for Oral Health Services and Research Mid-Norway (TkMidt), 7030 Trondheim, Norway
| | - Geir Selbæk
- Norwegian National Centre for Aging and Health, Vestfold Hospital Trust, 3103 Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway
| | - Raymond Noordam
- Leiden University Medical Center, Department of Internal Medicine, Section of Gerontology and Geriatrics, 2333 ZA Leiden, The Netherlands
| | - Håvard Kjesbu Skjellegrind
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7600 Levanger, Norway
- General Practice Research Unit, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, 7600 Levanger, Norway
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Fan YC, Lin SF, Chou CC, Bai CH. Developmental Trajectories and Predictors of Incident Dementia among Elderly Taiwanese People: A 14-Year Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3065. [PMID: 36833763 PMCID: PMC9962520 DOI: 10.3390/ijerph20043065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
The aim of this study was to identify dementia trajectories and their associated predictors among elderly Taiwanese people over a 14-year period using a nationwide representative longitudinal study. This retrospective cohort study was performed using the National Health Insurance Research Database. Group-based trajectory modeling (GBTM) was used to distinguish the specific trajectory groups of incident dementia during 2000-2013. All 42,407 patients were classified by GBTM to identify the trajectory of incident dementia, which included high- (n = 11,637, 29.0%), moderate- (n = 19,036, 44.9%), and low-incidence (n = 11,734, 26.1%) groups. Those diagnosed with hypertension (adjusted odds ratio [aOR] = 1.43; 95% confidence interval [CI] = 1.35-1.52), stroke (aOR = 1.45, 95% CI = 1.31-1.60), coronary heart disease (aOR = 1.29, 95% CI = 1.19-1.39), heart failure (aOR = 1.62, 95% CI = 1.36-1.93), and chronic obstructive pulmonary disease (aOR = 1.10, 95% CI = 1.02-1.18) at baseline revealed tendencies to be classified into high-incidence groups in dementia risk. The results from a 14-year longitudinal study identified three distinct trajectories of incident dementia among elderly Taiwanese people: patients with cardiovascular disease risk factors and cardiovascular disease events tended to be classified into high-incidence dementia groups. Early detection and management of these associated risk factors in the elderly may prevent or delay the deterioration of cognitive decline.
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Affiliation(s)
- Yen-Chun Fan
- School of Public Health, College of Public Health, Taipei Medical University, Taipei 110301, Taiwan
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Sheng-Feng Lin
- School of Public Health, College of Public Health, Taipei Medical University, Taipei 110301, Taiwan
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110301, Taiwan
| | - Chia-Chi Chou
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100025, Taiwan
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 204201, Taiwan
| | - Chyi-Huey Bai
- School of Public Health, College of Public Health, Taipei Medical University, Taipei 110301, Taiwan
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Nutrition Research Center, Taipei Medical University Hospital, Taipei 110301, Taiwan
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