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Yu RC, Proctor D, Soni J, Pikett L, Livingston G, Lewis G, Schilder A, Bamiou D, Mandavia R, Omar R, Pavlou M, Lin F, Goman AM, Gonzalez SC. Adult-onset hearing loss and incident cognitive impairment and dementia - A systematic review and meta-analysis of cohort studies. Ageing Res Rev 2024; 98:102346. [PMID: 38788800 DOI: 10.1016/j.arr.2024.102346] [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: 02/09/2024] [Revised: 05/15/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND We comprehensively summarized the cohort evidence to date on adult-onset hearing loss as risk factor for incident cognitive impairment and dementia, and examined the evidence for dose-response, risk for various dementia subtypes, and other moderators. Previous meta-analyses were less comprehensive. METHODS We included cohort studies with participants without dementia and with hearing assessments at baseline, minimum 2 years follow-up and incident cognitive outcomes. We used random-effect models and subgroup and meta-regression on moderator analyses. RESULTS We identified fifty studies (N=1,548,754). Hearing loss (yes/no) was associated with incident dementia risk (HR=1.35 [95% CI = 1.26 - 1.45), mild cognitive impairment (MCI HR=1.29 [95% CI = 1.11 - 1.50]), cognitive decline not specified as MCI or dementia (HR=1.29 [95% CI = 1.17 - 1.42]), and Alzheimer's disease dementia (ADD, HR=1.56 [95% CI = 1.30 - 1.87]), but not with vascular dementia (HR, 1.30 [95% CI = 0.83 - 2.05]). Each 10-decibel worsening of hearing was associated with a 16% increase in dementia risk (95% CI = 1.07 - 1.27). The effect of hearing loss did not vary across potential moderators. CONCLUSIONS Cohort studies consistently support that adult-onset hearing loss increases the risk of incident cognitive decline, dementia, MCI, and ADD.
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Affiliation(s)
- Ruan-Ching Yu
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, England
| | - Danielle Proctor
- Department of Clinical, Educational and Health Psychology, University College London, Gower Street, London WC1E 6BT, England
| | - Janvi Soni
- Royal Free London NHS Foundation Trust, Pond Street, Rosslyn Hill, London NW3 2QG, England
| | - Liam Pikett
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, England
| | - Gill Livingston
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, England
| | - Glyn Lewis
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, England
| | - Anne Schilder
- The Ear Institute, University College London, 332 Grays Inn Rd, London WC1X 8EE, England
| | - Doris Bamiou
- The Ear Institute, University College London, 332 Grays Inn Rd, London WC1X 8EE, England
| | - Rishi Mandavia
- The Ear Institute, University College London, 332 Grays Inn Rd, London WC1X 8EE, England
| | - Rumana Omar
- The Ear Institute, University College London, 332 Grays Inn Rd, London WC1X 8EE, England
| | - Menelaos Pavlou
- Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, England
| | - Frank Lin
- Center on Aging and Health, Johns Hopkins Medical Institutions, 2024 E Monument St suite 2-700, Baltimore, MD 21205, USA
| | - Adele M Goman
- School of Health and Social Care, Edinburgh Napier University, 9 Sighthill Ct, Edinburgh EH11 4BN, Scotland
| | - Sergi Costafreda Gonzalez
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, England.
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Nguyen HXT, Hyde Z, McNamara BJ, Hughson JA, Radford K, Russell S, Flicker L, Quigley R, Malay R, Strivens E, Withall A, Lavrencic L, Draper B, Delbaere K, Cumming R, LoGiudice D. Strength together: examining risk and protective factors associated with dementia and cognitive impairment in Aboriginal and Torres Strait Islander peoples through harmonisation of landmark studies. BMC Neurol 2024; 24:185. [PMID: 38824519 PMCID: PMC11143581 DOI: 10.1186/s12883-024-03688-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 05/23/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Rates of dementia for Aboriginal and Torres Strait Islander peoples are three to five times greater compared to non-Indigenous Australians, with earlier age of onset. However, the risk and protective factors that drive these higher rates vary across existing cohort studies, with minimal findings on the role of vascular risk factors beyond stroke. Harmonisation of data across studies may offer greater insights through enhanced diversity and strengthened statistical capabilities. This study aims to combine three landmark cohort studies of Aboriginal and Torres Strait Islander participants to better understand the determinants of cognitive health and dementia. METHODS/DESIGN Three cohort studies - the Kimberley Healthy Adults Project (KHAP, N = 363), Koori Growing Old Well Study (KGOWS, N = 336) and Torres Strait Dementia Prevalence Study (TSDPS, N = 274) - share a similar research methodology with demographic, medical history, psychosocial factors, cognitive tests and consensus clinical diagnoses of cognitive impairment and dementia. Associations between risk and protective factors of interest and the presence of dementia and/or cognitive impairment diagnoses will be evaluated by univariable and multivariable logistic regression in a harmonised cross-sectional cohort of 898 participants. Factors associated with incident dementia and/or cognitive impairment will be assessed in a subset of KHAP (n = 189) and KGOWS participants (n = 165) who were available in longitudinal follow-up, after exclusion of those with baseline dementia or cognitive impairment. Analyses in relation to outcome measure of death or dementia will be conducted to account for the competing risk of death. Logistic regression will be used to evaluate the association between the individual components of the 16-component Kimberley Indigenous Cognitive Assessment (KICA) tool and the presence of dementia and cognitive impairment determined by independent consensus diagnoses. Multivariable binary logistic regression will be used to adjust for the effect of confounding variables. Results will be reported as odds ratios (OR) with 95% confidence intervals (95% CI). DISCUSSION Greater understanding of risk and protective factors of dementia and cognitive impairment relevant to Aboriginal and Torres Strait Islander peoples may improve approaches across the life course to delay cognitive decline and reduce dementia risk.
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Affiliation(s)
- Huong X T Nguyen
- Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Royal Park Campus, Administration Building 21, 34 -54 Poplar Road, Melbourne, VIC, 3050, Australia.
| | - Zoë Hyde
- Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Royal Park Campus, Administration Building 21, 34 -54 Poplar Road, Melbourne, VIC, 3050, Australia
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Perth, Australia
- Centre for Aboriginal Medical and Dental Health, Medical School, University of Western Australia, Perth, Australia
| | - Bridgette J McNamara
- Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
- Barwon South-West Public Health Unit, Barwon Health, Geelong, VIC, Australia
| | - Jo-Anne Hughson
- Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Royal Park Campus, Administration Building 21, 34 -54 Poplar Road, Melbourne, VIC, 3050, Australia
| | - Kylie Radford
- Neuroscience Research Australia, Sydney, Australia
- School of Psychology, University of New South Wales, Sydney, Australia
- Ageing Futures Institute, University of New South Wales, Sydney, Australia
| | - Sarah Russell
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
- Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
| | - Leon Flicker
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Perth, Australia
| | - Rachel Quigley
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
- Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
| | - Roslyn Malay
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Perth, Australia
| | - Edward Strivens
- College of Medicine and Dentistry, James Cook University, Cairns, QLD, Australia
- Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia
| | - Adrienne Withall
- School of Psychology, University of New South Wales, Sydney, Australia
- Ageing Futures Institute, University of New South Wales, Sydney, Australia
| | - Louise Lavrencic
- Neuroscience Research Australia, Sydney, Australia
- Ageing Futures Institute, University of New South Wales, Sydney, Australia
- School of Population Health, University of New South Wales, Sydney, Australia
| | - Brian Draper
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Kim Delbaere
- School of Population Health, University of New South Wales, Sydney, Australia
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia
| | - Robert Cumming
- School of Public Health, University of Sydney, Sydney, Australia
| | - Dina LoGiudice
- Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Royal Park Campus, Administration Building 21, 34 -54 Poplar Road, Melbourne, VIC, 3050, Australia
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Jiang B, Liu Q, Li JP, Lin SN, Wan HJ, Yu ZW, Wang J, Zhuang W, Tang JH, Chen CH, Li FY, Bi M, Xiao NA, Zheng KM. Prevalence and risk factors for dementia and mild cognitive impairment among older people in Southeast China: a community-based study. BMC Geriatr 2024; 24:466. [PMID: 38807058 PMCID: PMC11134668 DOI: 10.1186/s12877-024-05054-6] [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: 01/29/2024] [Accepted: 05/08/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND With the aging population, the number of individuals with dementia in China is increasing rapidly. This community-based study aimed to investigate the prevalence and risk factors for dementia and mild cognitive impairment (MCI) among older adults in China. METHODS In this study, 20,070 individuals aged ≥ 65 were recruited between January 1, 2022, and February 1, 2023, from ten communities in Xiamen City, China. We collected data on age, sex, level of education, and medical history, as well as global cognition and functional status. The prevalence of dementia and MCI was examined, and the risk factors for different groups were assessed. RESULTS The overall prevalence of dementia and MCI was approximately 5.4% (95% confidence interval [CI], 5.1-5.7) and 7.7% (95% CI, 7.4-8.1), respectively. The results also indicated that dementia and MCI share similar risk factors, including older age, female sex, hypertension, and diabetes mellitus. Compared with individuals with no formal education, those with > 6 years of education had an odds ratio for MCI of 1.83 (95% CI, 1.49-2.25). We also found that only 5.5% of the positive participants chose to be referred to the hospital for further diagnosis and treatment during follow-up visits. CONCLUSIONS This study estimated the prevalence and risk factors for dementia and MCI among individuals aged ≥ 65 years in Southeast China. These findings are crucial for preventing and managing dementia and MCI in China.
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Affiliation(s)
- Bin Jiang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Qi Liu
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Jian-Peng Li
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Si-Ning Lin
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Hui-Juan Wan
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Zi-Wen Yu
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Jing Wang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Wei Zhuang
- Department of Neurology, Nanjing County Hospital, Zhangzhou, China
| | - Jia-Hui Tang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Cai-Hong Chen
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Fa-Yin Li
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
| | - Min Bi
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
- Xiamen Key Laboratory of Brain Center, Xiamen, China.
| | - Nai-An Xiao
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
- Department of Neurology, The Third Hospital of Xiamen, Xiamen, China.
| | - Kun-Mu Zheng
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
- Xiamen Key Laboratory of Brain Center, Xiamen, China.
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Nguyen HXT, Bradley K, McNamara BJ, Watson R, Malay R, LoGiudice D. Risk, protective, and biomarkers of dementia in Indigenous peoples: A systematic review. Alzheimers Dement 2024; 20:563-592. [PMID: 37746888 PMCID: PMC10917055 DOI: 10.1002/alz.13458] [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: 02/23/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 09/26/2023]
Abstract
INTRODUCTION Dementia is an emergent health priority for Indigenous peoples worldwide, yet little is known about disease drivers and protective factors. METHODS Database searches were conducted in March 2022 to identify original publications on risk, protective, genetic, neuroradiological, and biological factors related to dementia and cognitive impairment involving Indigenous peoples. RESULTS Modifiable risk factors featured across multiple studies include childhood adversity, hearing loss, low education attainment, unskilled work history, stroke, head injury, epilepsy, diabetes, hypertension, hyperlipidemia, depression, low BMI, poor mobility, and continence issues. Non-modifiable risk factors included increasing age, sex, and genetic polymorphisms. Education, ex-smoking, physical and social activity, and engagement with cultural or religious practices were highlighted as potential protective factors. There is a paucity of research on dementia biomarkers involving Indigenous peoples. DISCUSSION Greater understanding of modifiable factors and biomarkers of dementia can assist in strength-based models to promote healthy ageing and cognition for Indigenous peoples.
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Affiliation(s)
- Huong X. T. Nguyen
- Department of MedicineRoyal Melbourne HospitalMelbourneVictoriaAustralia
- Department of Population Health and ImmunityWalter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
| | - Kate Bradley
- Department of MedicineRoyal Melbourne HospitalMelbourneVictoriaAustralia
| | - Bridgette J. McNamara
- Centre for Epidemiology and BiostatisticsUniversity of MelbourneVictoriaAustralia
- Barwon South‐West Public Health UnitBarwon HealthGeelongVictoriaAustralia
| | - Rosie Watson
- Department of MedicineRoyal Melbourne HospitalMelbourneVictoriaAustralia
- Department of Population Health and ImmunityWalter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
| | - Roslyn Malay
- Western Australian Centre for Health and AgeingUniversity of Western AustraliaPerthWAAustralia
| | - Dina LoGiudice
- Department of MedicineRoyal Melbourne HospitalMelbourneVictoriaAustralia
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Mateo‐Arriero I, Lalovic A, Dowden G, Markey L, Cox KL, Flicker L, Bessarab D, Thompson S, Kickett C, Woods D, Pestell CF, Edgill P, Etherton‐Beer C, Smith K. Co-design of dementia prevention program for Aboriginal Australians (DAMPAA). Alzheimers Dement 2023; 19:4564-4571. [PMID: 36933191 PMCID: PMC10955769 DOI: 10.1002/alz.13032] [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: 11/06/2022] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 03/19/2023]
Abstract
INTRODUCTION Dementia is highly prevalent in older Aboriginal Australians, with several modifiable risk factors. Currently, there is limited evidence on how to prevent cognitive decline in Aboriginal Australians. METHODS Based on our Theory of Change (ToC) framework, we co-developed the Dementia risk management and prevention program for Aboriginal Australians (DAMPAA) aged over 45 years in partnership with Aboriginal community-controlled organizations (ACCOs) and Elders. Qualitative data were collected through ACCO staff workshops, Elders yarning, and governance groups to inform the protocol. Additionally, we conducted a small pilot study. RESULTS Expected DAMPAA ToC outcomes are: (1) improved daily function, (2) better cardiovascular risk management, (3) falls reduction, (4) improved quality of life, and (5) reduced cognitive decline. Attendance enablers are social interaction, environment, exercise type/level, and logistics. DISCUSSION Findings suggest that ToC is an effective collaborative approach for co-designing Aboriginal health programs.
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Affiliation(s)
- Irene Mateo‐Arriero
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
| | - Alexander Lalovic
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
| | - Glennette Dowden
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
| | - Lesley Markey
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
| | - Kay L. Cox
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
- West Australian Centre for Health and AgeingUniversity of Western AustraliaPerthWAAustralia
| | - Leon Flicker
- West Australian Centre for Health and AgeingUniversity of Western AustraliaPerthWAAustralia
| | - Dawn Bessarab
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
| | - Sandra Thompson
- Western Australian Centre for Rural HealthUniversity of Western AustraliaGeraldtonWAAustralia
| | | | - Deborah Woods
- Geraldton Regional Aboriginal Medical ServiceGeraldtonWAAustralia
| | - Carmela F. Pestell
- School of Psychological ScienceUniversity of Western AustraliaPerthWAAustralia
| | - Paula Edgill
- Derbarl Yerrigan Health ServiceEast PerthWAAustralia
| | | | - Kate Smith
- Centre for Aboriginal Medical and Dental HealthUniversity of Western AustraliaPerthWAAustralia
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Liu W, Xing S, Wei F, Yao Y, Zhang H, Li YC, Liu Z. Excessive Dietary Salt Intake Exacerbates Cognitive Impairment Progression and Increases Dementia Risk in Older Adults. J Am Med Dir Assoc 2023; 24:125-129.e4. [PMID: 36351463 DOI: 10.1016/j.jamda.2022.10.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To investigate excessive dietary salt intake as an independent risk factor of cognitive impairment and dementia in older adults. DESIGN Prospective, population-based cohort study. SETTINGS AND PARTICIPANTS Two thousand forty-one community residents aged ≥60 years were recruited between April 2007 and August 2009 from the Shandong area of China. MEASUREMENTS Participants were classified into low, mild, moderate, and high salt intake groups according to urinary sodium measurements for 7 consecutive days. Global cognitive function was assessed at baseline and biennially thereafter using the Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Dementia Rating Scale (DRS), and Informant Questionnaire on Cognitive Decline in the Elderly. Demographics and apolipoprotein E (APOE) genotype were also obtained for each participant. Participants were monitored for 11.4 ± 2.0 years. RESULTS During follow-up, MMSE, MoCA, and DRS scores decreased progressively faster with increasing salt intake (Padjustment < 0.05 among all intake groups). In total, 319 participants (13.74 per 1000 person-years) developed cognitive impairment. Compared with the low salt intake group, cognitive impairment risk was increased by 75% in the mild group (Padjustment = 0.027), 180% in the moderate group (Padjustment < 0.001), and 330% in the high group (Padjustment < 0.001) after adjustment for age, education, mean, and variability in visit-to-visit systolic and diastolic blood pressure, and APOE genotype. The hazard ratio for cognitive impairment increased by 1.59 (95% CI 1.40-1.79) with each 1-SD increment in salt intake after confounder adjustment (Padjustment < 0.001). CONCLUSIONS AND IMPLICATIONS Excessive dietary salt impairs cognitive function and increases cognitive impairment risk in older adults independently of known risk factors, including hypertension and APOE genotype.
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Affiliation(s)
- Weike Liu
- Department of Cardiology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shasha Xing
- Department of Geriatrics, Third Hospital of Lixia District, Jinan, Shandong, China
| | - Fang Wei
- Department of Cardiology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yanli Yao
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; School of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Hua Zhang
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; School of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yue-Chun Li
- Department of Cardiology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhendong Liu
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; School of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China.
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