1
|
Zhou X, Xiao Z, Wu W, Chen Y, Yuan C, Leng Y, Yao Y, Zhao Q, Hofman A, Brunner E, Ding D. Closing the gap in dementia research by community-based cohort studies in the Chinese population. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2025; 55:101465. [PMID: 39902152 PMCID: PMC11788756 DOI: 10.1016/j.lanwpc.2025.101465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 11/20/2024] [Accepted: 01/02/2025] [Indexed: 02/05/2025]
Abstract
China accounts for 1/5 of the global population and China faces a particularly heavy dementia burden due to its rapidly ageing population. Unique historical events, genetic background, sociocultural factors, lifestyle, and the COVID-19 pandemic further influence cognitive outcomes in the Chinese population. We searched PubMed, Web of Science, and Embase for community-based cohort studies related to dementia in the Chinese population, and summarized the characteristics, methodologies, and major findings published over the last 25 years from 39 cohorts. We identified critical research gaps and propose future directions, including enhancing sample representativeness, investigating China-specific risk factors, expanding exposure measurements to the whole life-span, collecting objective data, conducting administer-friendly domain-specific cognitive assessments, adopting pathological diagnostic criteria, standardizing biobank construction, verifying multi-modal biomarkers, examining social and genetic-environmental aspects, and monitoring post-COVID cognitive health, to approach high quality of dementia studies that can provide solid evidence to policy making and promote global brain health research.
Collapse
Affiliation(s)
- Xiaowen Zhou
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Yuntao Chen
- Division of Psychiatry, Faculty of Brain Science, UCL, London, UK
| | - Changzheng Yuan
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Yue Leng
- Department of Psychiatry and Behavioural Sciences, University of California, San Francisco, USA
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Albert Hofman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Eric Brunner
- Institute of Epidemiology and Health Care, UCL, London, UK
| | - Ding Ding
- Institute of Neurology, National Clinical Research Center for Aging and Medicine, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
2
|
Han Q, Zhao X, Shao Y, Tan F, Wen H, Wang D, Li X, Wang Y, Tu J, Wang L, Ning X, Wang J, Li Y. Efficacy of butylphthalide in preventing cognitive decline in ischaemic stroke survivors: a 12-month prospective following-up study. Stroke Vasc Neurol 2025:svn-2024-003611. [PMID: 39863299 DOI: 10.1136/svn-2024-003611] [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: 08/07/2024] [Accepted: 01/12/2025] [Indexed: 01/27/2025] Open
Abstract
BACKGROUND Cognitive decline is a significant concern for stroke survivors, affecting their quality of life and increasing their burden on the healthcare system. DL-3-n-butylphthalide (butylphthalide) has shown efficacy in the short-term treatment of various cognitive impairments. This study evaluated the efficacy of butylphthalide in preventing cognitive decline over a 12-month period in patients with ischaemic stroke. METHODS This prospective following-up study involved patients newly diagnosed with ischaemic stroke between 1 month and 6 months after stroke onset and not in the acute phase. Patients were assigned to either the butylphthalide or control group. Cognitive function was assessed using the mini-mental state examination (MMSE) at baseline and at the 12-month follow-up. Statistical analyses included t-tests, χ2 tests and multivariate regression analyses. RESULTS Butylphthalide was negatively associated with the MMSE D-value (β=-0.122; 95% CI -1.932 to -0.298; p=0.003) and the MMSE D-value percentage (β=-0.117; 95% CI -0.057 to -0.011; p=0.004). A multivariate analysis indicated that butylphthalide treatment was negatively associated with both changes in orientation and language score. Additionally, the incidence of cognitive decline was significantly lower in the butylphthalide group (OR, 0.612; p=0.020) than the control group. An age of ≥60 years and lower educational level were identified as risk factors for lower cognitive score and cognitive decline. CONCLUSION This study demonstrated that butylphthalide is effective in preventing cognitive decline in patients with ischaemic stroke. These findings have significant implications for clinical practice, suggesting that butylphthalide could be incorporated into standard post-stroke care regimens to improve patient outcomes and reduce the healthcare burden. Additional multicentre double-blind trials are recommended to confirm these results in diverse populations.
Collapse
Affiliation(s)
- Qingqing Han
- Jizhou Clinical College, Tianjin Medical University, Tianjin, China
| | - Xiyu Zhao
- Department of Critical Care Medicine, Tianjin Jizhou People's Hospital, Tianjin, People's Republic of China
| | - Yingzhe Shao
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, Tianjin, China
| | - Fengtao Tan
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, Tianjin, China
| | - Haotian Wen
- The First Clinical School, Southern Medical University, Guangzhou, Guangdong, China
| | - Di Wang
- College of Anesthesiology, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xiao Li
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, Tianjin, China
| | - Yunfan Wang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, Tianjin, China
| | - Jun Tu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, Tianjin, China
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China
| | - Lifeng Wang
- Jizhou Clinical College, Tianjin Medical University, Tianjin, China
- Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China
| | - Xianjia Ning
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China
- Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China
- Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, People's Republic of China
| | - Jinghua Wang
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China
- Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China
- Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, People's Republic of China
| | - Yan Li
- Jizhou Clinical College, Tianjin Medical University, Tianjin, China
- Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China
| |
Collapse
|
3
|
Wang M, Fan C, Han Y, Wang Y, Cai H, Zhong W, Yang X, Wang Z, Wang H, Han Y. Associations of modifiable dementia risk factors with dementia and cognitive decline: evidence from three prospective cohorts. Front Public Health 2025; 13:1529969. [PMID: 39882349 PMCID: PMC11774717 DOI: 10.3389/fpubh.2025.1529969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Accepted: 01/03/2025] [Indexed: 01/31/2025] Open
Abstract
Objective This study aims to assess the relationship between modifiable dementia risk factors and both dementia and cognitive decline. Methods Data were obtained from the Health and Retirement Study (HRS) [2008-2020], the China Health and Retirement Longitudinal Study (CHARLS) [2011-2020], and the English Longitudinal Study of Ageing (ELSA) [2010-2020]. After adjusting for confounding factors, multivariable logistic regression was utilized to analyze the relationship between modifiable dementia risk factors and dementia, while multivariable linear regression was employed to examine the relationship between these risk factors and cognitive decline. Additionally, the Cox proportional hazards model was used to assess the relationship between the number of risk factor events, clusters, and dementia risk. Results A total of 30,113 participants from HRS, CHARLS, and ELSA were included (44.6% male, mean age 66.04 years), with an average follow-up period of 7.29 years. A low education level was significantly associated with an increased risk of dementia and accelerated cognitive decline (Overall, OR = 2.93, 95% CI: 2.70-3.18; Overall, β = -0.25, 95% CI: -0.60 to-0.55). The presence of multiple dementia risk factors correlated with a higher dementia risk; Specifically, compared with more than 5 risk factor events, both having no dementia risk factors and having only one dementia risk factor were associated with a significantly lower risk of dementia (Overall, HR = 0.15, 95% CI: 0.11-0.22, HR = 0.22, 95% CI: 0.18-0.25). Compared to the group with no coexistence of risk factors, the clusters of excessive alcohol, diabetes, vision loss, and hearing loss (HR = 4.11; 95% CI = 3.42-4.95; p < 0.001); excessive alcohol, vision loss, smoking, and hearing loss (HR = 5.18; 95% CI = 4.30-6.23; p < 0.001); and excessive alcohol, obesity, diabetes, and smoking (HR = 5.96; 95% CI = 5.11-6.95; p < 0.001) were most strongly associated with dementia risk. Conclusion Among the 11 risk factors, educational attainment has the greatest impact on dementia risk and cognitive decline. A dose-response relationship exists between the number of modifiable risk factor events and dementia risk. The coexistence of multiple risk factors is associated with dementia risk, and these associations vary by risk factor cluster.
Collapse
Affiliation(s)
- Mengzhao Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Changming Fan
- Department of Physical Education, Hebei University of Environmental Engineering, Qinhuangdao, China
| | - Yanbai Han
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Yifei Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Hejia Cai
- Outdoor Sports Academy, Guilin Tourism University, Guilin, China
| | - Wanying Zhong
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Xin Yang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Zhenshan Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Hongli Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Yiming Han
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| |
Collapse
|
4
|
Tang H, Shaaban CE, DeKosky ST, Smith GE, Hu X, Jaffee M, Salloum RG, Bian J, Guo J. Association of education attainment, smoking status, and alcohol use disorder with dementia risk in older adults: a longitudinal observational study. Alzheimers Res Ther 2024; 16:206. [PMID: 39294787 PMCID: PMC11412035 DOI: 10.1186/s13195-024-01569-7] [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: 04/29/2024] [Accepted: 09/02/2024] [Indexed: 09/21/2024]
Abstract
BACKGROUND Previous research on the risk of dementia associated with education attainment, smoking status, and alcohol use disorder (AUD) has yielded inconsistent results, indicating potential heterogeneous treatment effects (HTEs) of these factors on dementia risk. Thus, this study aimed to identify the important variables that may contribute to HTEs of these factors in older adults. METHODS Using 2005-2021 data from the National Alzheimer's Coordinating Center (NACC), we included older adults (≥ 65 years) with normal cognition at the first visit. The exposure of interest included college education or above, current smoking, and AUD and the outcome was all-cause dementia. We applied doubly robust learning to estimate risk differences (RD) and 95% confidence intervals (CI) between exposed and unexposed groups in the overall cohort and subgroups identified through a decision tree model. RESULTS Of 10,062 participants included, 929 developed all-cause dementia over a median 4.4-year follow-up. College education or above was associated with a lower risk of all-cause dementia in the overall population (RD, -1.5%; 95%CI, -2.8 to -0.3), especially among the subpopulations without hypertension, regardless of the APOE4 status. Current smoking was not related to increased dementia risk overall (2.8%; -1.5 to 7.2) but was significantly associated with increased dementia risk among men with (21.1%, 3.1 to 39.1) and without (8.4%, 0.9 to 15.8) cerebrovascular disease. AUD was not related to increased dementia risk overall (2.0%; -7.7 to 11.7) but was significantly associated with increased dementia risk among men with neuropsychiatric disorders (31.5%; 7.4 to 55.7). CONCLUSIONS Our studies identified important factors contributing to HTEs of education, smoking, and AUD on risk of all-cause dementia, suggesting an individualized approach is needed to address dementia disparities.
Collapse
Affiliation(s)
- Huilin Tang
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, 32606, USA
| | - C Elizabeth Shaaban
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven T DeKosky
- Department of Neurology and McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA
| | - Glenn E Smith
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Xia Hu
- DATA Lab, Department of Computer Science, Rice University, Texas, USA
| | - Michael Jaffee
- Department of Neurology and McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, 32606, USA.
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, FL, USA.
| |
Collapse
|
5
|
Liu Y, Wu Y, Chen Y, Lobanov-Rostovsky S, Liu Y, Zeng M, Bandosz P, Roman Xu D, Wang X, Liu Y, Hao Y, French E, Brunner EJ, Liao J. Projection for dementia burden in China to 2050: a macro-simulation study by scenarios of dementia incidence trends. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 50:101158. [PMID: 39185089 PMCID: PMC11342197 DOI: 10.1016/j.lanwpc.2024.101158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/20/2024] [Accepted: 07/15/2024] [Indexed: 08/27/2024]
Abstract
Background It is unclear how temporal trends in dementia incidence, alongside fast-changing demography, will influence China's future dementia burden. We developed a Markov model that combines population trends in dementia, mortality, and dementia-related comorbidities, to forecast and decompose the burden of dementia in China to 2050. Methods Population-based Chinese ageing cohorts provided input data for a 10-health-state Markov macrosimulation model, IMPACT-China Ageing Model (CAM), to predict sex- and age-specific dementia prevalence among people aged 50+ by year to 2050. We assumed three potential future scenarios representing the range of likely dementia incidence trends: upward (+2.9%), flat (0%) or downward (-1.0%). Sensitivity analyses were conducted to examine uncertainty associated with trends in mortality rates and CVD incidence. The projected dementia burden was decomposed into population growth, population ageing, and changing dementia prevalence corresponding to the three incidence trend scenarios. Findings Under the upward trend scenario, the estimated number of people living with dementia is projected to rise to 66.3 million (95% uncertainty interval (UI) 64.7-68.0 million), accounting for 10.4% of the Chinese population aged 50+ by 2050. This large burden will be lower, 43.9 (95% UI 42.9-45.0) million and 37.5 (95% UI 36.5-38.4) million, if dementia incidence remains constant or decreases. Robustness of the projection is confirmed by sensitivity analyses. Decomposition of the change in projected dementia cases indicates dominate effects of increasing dementia prevalence and population ageing, and a relatively minor contribution from negative population growth. Interpretation Our findings highlight an impending surge in dementia cases in China in the forthcoming decades if the upward trend in dementia incidence continues. Public health interventions geared towards dementia prevention could play a pivotal role in alleviating this burgeoning disease issue. Funding National Science Foundation of China/UK Economic and Social Research Council.
Collapse
Affiliation(s)
- Yuyang Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Yanjuan Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China
- Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou, China
| | - Yuntao Chen
- Department of Epidemiology & Public Health, University College London, London, WC1E 7HB, UK
| | | | - Yixuan Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China
- Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou, China
| | - Minrui Zeng
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China
- Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou, China
| | - Piotr Bandosz
- Department of Prevention and Medical Education, Medical University of Gdansk, Gdansk, 80-210, Poland
| | - Dong Roman Xu
- Acacia Lab for Implementation Science, SMU Institute for Global Health (SIGHT) and Center for World Health Organization Studies, School of Health Management and Dermatology Hospital of Southern Medical University (SMU), Guangzhou, China
| | - Xueqin Wang
- Department of Statistics and Finance/International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100871, China
| | - Eric French
- Faculty of Economics, University of Cambridge, Cambridge, CB2 3AX, UK
| | - Eric J. Brunner
- Department of Epidemiology & Public Health, University College London, London, WC1E 7HB, UK
| | - Jing Liao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China
- Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
6
|
Clarke AJ, Brodtmann A, Irish M, Mowszowski L, Radford K, Naismith SL, Mok VC, Kiernan MC, Halliday GM, Ahmed RM. Risk factors for the neurodegenerative dementias in the Western Pacific region. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 50:101051. [PMID: 39399869 PMCID: PMC11471060 DOI: 10.1016/j.lanwpc.2024.101051] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/04/2024] [Accepted: 03/12/2024] [Indexed: 10/15/2024]
Abstract
The Western Pacific Region (WPR) is characterized by a group of socioeconomically, culturally, and geopolitically heterogenous countries and represents a microcosm of the global endemic of neurodegeneration. This review will chart the known risk factors for dementia across the WPR. We explore the intersection between the established risk factors for dementia including the biomedical and lifestyle (cardiovascular and metabolic disease, sleep, hearing loss, depression, alcohol, smoking, traumatic brain injury, genetics) and social determinants (social disadvantage, limited education, systemic racism) as well as incorporate neuroimaging data, where available, to predict disease progression in the WPR. In doing so, we highlight core risk factors for dementia in the WPR, as well as geographical epicentres at heightened risk for dementia, to orient future research towards addressing these disparities.
Collapse
Affiliation(s)
- Antonia J. Clarke
- Department of Neurosciences, Monash University, Melbourne, VIC 3004 Australia
| | - Amy Brodtmann
- Department of Neurosciences, Monash University, Melbourne, VIC 3004 Australia
| | - Muireann Irish
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
| | - Loren Mowszowski
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Kylie Radford
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
- The University of New South Wales, Sydney, NSW 2031 Australia
| | - Sharon L. Naismith
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
| | | | - Matthew C. Kiernan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Glenda M. Halliday
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Rebekah M. Ahmed
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| |
Collapse
|
7
|
Huo K, Shang S, Wang J, Chen C, Dang L, Gao L, Wei S, Zeng L, Qu Q. Trends on Prevalence, All-Cause Mortality, and Survival Status of Dementia Patients in Rural China Based on Pooling Analysis. Int J Public Health 2024; 69:1606786. [PMID: 39238546 PMCID: PMC11374651 DOI: 10.3389/ijph.2024.1606786] [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: 10/31/2023] [Accepted: 07/31/2024] [Indexed: 09/07/2024] Open
Abstract
Objectives No study has reported secular trends in dementia prevalence, all-cause mortality, and survival status in rural China. Methods We established two cohorts (XRRCC1 and XRRCC2) in the same region of China, 17 years apart, to compare dementia prevalence, all-cause mortality, and survival status, and performed regression analysis to identify associated factors. Results Dementia prevalence was 3.49% in XRRCC1 and 4.25% in XRRCC2, with XRRCC2 showing a significantly higher prevalence (OR = 1.79, 95%CI: 1.2-2.65). All-cause mortality rates for dementia patients were 62.0% in XRRCC1 and 35.7% in XRRCC2. Mortality in the normal population of XRRCC2 decreased by 66% compared to XRRCC1, mainly due to improved survival rates in women with dementia. Dementia prevalence was positively associated with age >65, spouse-absent status, and stroke, and negatively associated with ≥6 years of education. Conclusion Dementia prevalence in rural China increased over 17 years, while mortality decreased. Major risk factors include aging, no spouse, and stroke, with higher education offering some protection.
Collapse
Affiliation(s)
- Kang Huo
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Suhang Shang
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jin Wang
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chen Chen
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Liangjun Dang
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Gao
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shan Wei
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an, China
| | - Qiumin Qu
- Department of Neurology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Center for Brain Science, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
8
|
Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - 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
| |
Collapse
|
9
|
Contador I, Buch-Vicente B, del Ser T, Llamas-Velasco S, Villarejo-Galende A, Benito-León J, Bermejo-Pareja F. Charting Alzheimer's Disease and Dementia: Epidemiological Insights, Risk Factors and Prevention Pathways. J Clin Med 2024; 13:4100. [PMID: 39064140 PMCID: PMC11278014 DOI: 10.3390/jcm13144100] [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: 05/23/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Alzheimer's disease (AD), the most common cause of dementia, is a complex and multifactorial condition without cure at present. The latest treatments, based on anti-amyloid monoclonal antibodies, have only a modest effect in reducing the progression of cognitive decline in AD, whereas the possibility of preventing AD has become a crucial area of research. In fact, recent studies have observed a decrease in dementia incidence in developed regions such as the US and Europe. However, these trends have not been mirrored in non-Western countries (Japan or China), and the contributing factors of this reduction remain unclear. The Lancet Commission has delineated a constrained classification of 12 risk factors across different life stages. Nevertheless, the scientific literature has pointed to over 200 factors-including sociodemographic, medical, psychological, and sociocultural conditions-related to the development of dementia/AD. This narrative review aims to synthesize the risk/protective factors of dementia/AD. Essentially, we found that risk/protective factors vary between individuals and populations, complicating the creation of a unified prevention strategy. Moreover, dementia/AD explanatory mechanisms involve a diverse array of genetic and environmental factors that interact from the early stages of life. In the future, studies across different population-based cohorts are essential to validate risk/protective factors of dementia. This evidence would help develop public health policies to decrease the incidence of dementia.
Collapse
Affiliation(s)
- Israel Contador
- Department of Basic Psychology, Psychobiology, and Methodology of Behavioral Sciences, Faculty of Psychology, University of Salamanca, 37005 Salamanca, Spain
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 17117 Stockholm, Sweden
| | - Bárbara Buch-Vicente
- Department of Basic Psychology, Psychobiology, and Methodology of Behavioral Sciences, Faculty of Psychology, University of Salamanca, 37005 Salamanca, Spain
| | - Teodoro del Ser
- Alzheimer Centre Reina Sofia—CIEN Foundation, Institute of Health Carlos III, 28031 Madrid, Spain;
| | - Sara Llamas-Velasco
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
| | - Alberto Villarejo-Galende
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
| | - Julián Benito-León
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Department of Medicine, Faculty of Medicine, Complutense University, 28040 Madrid, Spain
| | - Félix Bermejo-Pareja
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Department of Medicine, Faculty of Medicine, Complutense University, 28040 Madrid, Spain
| |
Collapse
|
10
|
Cheng S, Yin R, Wu K, Wang Q, Zhang H, Ling L, Chen W, Shi L. Trajectories and influencing factors of cognitive function and physical disability in Chinese older people. Front Public Health 2024; 12:1380657. [PMID: 39026589 PMCID: PMC11256785 DOI: 10.3389/fpubh.2024.1380657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 06/24/2024] [Indexed: 07/20/2024] Open
Abstract
Introduction Dementia and physical disability are serious problems faced by the aging population, and their occurrence and development interact. Methods Based on data from a national cohort of Chinese people aged 60 years and above from the China Health and Retirement Longitudinal Survey from 2011 to 2018, we applied the group-based trajectory model to identify the heterogeneous trajectories of cognitive function and physical disability in participants with different physical disability levels. Next, multinomial logistic regression models were used to explore the factors affecting these trajectories. Results The cognitive function trajectories of the Chinese older people could be divided into three characteristic groups: those who maintained the highest baseline level of cognitive function, those with a moderate baseline cognitive function and dramatic progression, and those with the worst baseline cognitive function and rapid-slow-rapid progression. The disability trajectories also fell into three characteristic groups: a consistently low baseline disability level, a low initial disability level with rapid development, and a high baseline disability level with rapid development. Compared with those free of physical disability at baseline, a greater proportion of participants who had physical disability at baseline experienced rapid cognitive deterioration. Education, income, type of medical insurance, gender, and marital status were instrumental in the progression of disability and cognitive decline in the participants. Discussion We suggest that the Chinese government, focusing on the central and western regions and rural areas, should develop education for the older people and increase their level of economic security to slow the rate of cognitive decline and disability among this age group. These could become important measures to cope with population aging.
Collapse
Affiliation(s)
- Shuyuan Cheng
- International Cooperation and Exchange Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Health Policy and Management Department, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Rong Yin
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kunpeng Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hui Zhang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Leiyu Shi
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| |
Collapse
|
11
|
Liu Y, Lu G, Liu L, He Y, Gong W. Cognitive reserve over the life course and risk of dementia: a systematic review and meta-analysis. Front Aging Neurosci 2024; 16:1358992. [PMID: 38681665 PMCID: PMC11047126 DOI: 10.3389/fnagi.2024.1358992] [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: 12/20/2023] [Accepted: 04/02/2024] [Indexed: 05/01/2024] Open
Abstract
Background The number of people with dementia is soaring. Cognitive reserve has been thought to be associated with dementia risk. It is not clear at which period in the life course and which cognitive reserve proxies contribute to the reduced risk of dementia. Methods By scanning four databases (PubMed, Embase, Web of Science, and MEDLINE) up to Jun 3, 2023, longitudinal studies of life-course cognitive reserve and risk of dementia were found. The HRs and 95% CIs for each study were summarized using random effects models. Subgroup analyses and sensitivity analyses were conducted. Utilizing funnel plots, Begg and Egger tests, publication bias was investigated. Results A total of 27 studies were included, containing 10 in early-life, 10 in middle-life, and 13 in late-life. All studies used validated questionnaires to measure cognitive reserve, and dementia diagnosis followed recognized worldwide guidelines. All included studies were of medium or low risk. Cognitive reserve in early-life (Hazard ratio (HR): 0.82; 95% confidence interval (CI): 0.79-0.86), middle-life (HR: 0.91; 95% CI: 0.84-0.98) and late-life (HR: 0.81; 95% CI: 0.75-0.88) all have protective effects on dementia risk. Multiple sensitivity analyses showed consistent results. Conclusion Dementia risk is reduced by the buildup of cognitive reserves during life-course. Accumulation of proxies for cognitive reserve in early and late life had the greatest effect on dementia risk reduction. Social connection may be an effective approach to lower dementia risk.
Collapse
Affiliation(s)
| | | | | | | | - Weijuan Gong
- School of Nursing and School of Public Health, Medical College, Yangzhou University, Yangzhou, China
| |
Collapse
|
12
|
Ariza M, Béjar J, Barrué C, Cano N, Segura B, Cortés CU, Junqué C, Garolera M. Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-023-01748-x. [PMID: 38285245 DOI: 10.1007/s00406-023-01748-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/18/2023] [Indexed: 01/30/2024]
Abstract
The risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group of post-COVID-19 condition (PCC) participants with neuropsychological impairment. The study sample included 426 participants with PCC who underwent a neurobehavioral evaluation. We selected seven mental speed processing and executive function variables to obtain a data-driven partition. Clustering algorithms were applied, including K-means, bisecting K-means, and Gaussian mixture models. Different machine learning algorithms were then used to obtain a classifier able to separate the two clusters according to the demographic, clinical, emotional, and lifestyle variables, including logistic regression with least absolute shrinkage and selection operator (LASSO) (L1) and Ridge (L2) regularization, support vector machines (linear/quadratic/radial basis function kernels), and decision tree ensembles (random forest/gradient boosting trees). All clustering quality measures were in agreement in detecting only two clusters in the data based solely on cognitive performance. A model with four variables (cognitive reserve, depressive symptoms, obesity, and change in work situation) obtained with logistic regression with LASSO regularization was able to classify between good and poor cognitive performers with an accuracy and a weighted averaged precision of 72%, a recall of 73%, and an area under the curve of 0.72. PCC individuals with a lower cognitive reserve, more depressive symptoms, obesity, and a change in employment status were at greater risk for poor performance on tasks requiring mental processing speed and executive function. Study registration: www.ClinicalTrials.gov , identifier NCT05307575.
Collapse
Affiliation(s)
- Mar Ariza
- Grup de Recerca en Cervell, Cognició i Conducta, Consorci Sanitari de Terrassa (CST), Terrassa, Spain
- Unitat de Psicologia Mèdica, Departament de Medicina, Universitat de Barcelona (UB), Barcelona, Spain
| | - Javier Béjar
- Departament de Ciències de la Computació, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Spain.
| | - Cristian Barrué
- Departament de Ciències de la Computació, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Spain
| | - Neus Cano
- Grup de Recerca en Cervell, Cognició i Conducta, Consorci Sanitari de Terrassa (CST), Terrassa, Spain
- Departament de Ciències Bàsiques, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
| | - Bàrbara Segura
- Unitat de Psicologia Mèdica, Departament de Medicina, Universitat de Barcelona (UB), Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain
| | - Claudio Ulises Cortés
- Departament de Ciències de la Computació, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Spain
| | - Carme Junqué
- Unitat de Psicologia Mèdica, Departament de Medicina, Universitat de Barcelona (UB), Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain
| | - Maite Garolera
- Grup de Recerca en Cervell, Cognició i Conducta, Consorci Sanitari de Terrassa (CST), Terrassa, Spain.
- Neuropsychology Unit, Consorci Sanitari de Terrassa (CST), Terrassa, Spain.
| |
Collapse
|
13
|
Yin Y, Tam HL, Quint J, Chen M, Ding R, Zhang X. Epidemiology of Dementia in China in 2010-2020: A Systematic Review and Meta-Analysis. Healthcare (Basel) 2024; 12:334. [PMID: 38338219 PMCID: PMC10855047 DOI: 10.3390/healthcare12030334] [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: 12/12/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Dementia has become one of the leading causes of death across the world. AIMS The aim of this study was to investigate the incidence, prevalence, and mortality of dementia in China between 2010 and 2020, and to investigate any geographical, age, and sex differences in the prevalence and incidence of dementia. METHODS Five databases were searched. The Joanna Briggs Institute (JBI) critical appraisal tool was used to assess the quality of the included studies. A random-effects meta-analysis was performed to estimate the pooled prevalence of dementia. Subgroup analysis was based on the type of dementia. The incidence and mortality of dementia were synthesized qualitatively. RESULTS A total of 19 studies were included. The meta-analysis showed that the prevalence of dementia was 6% (95%CI 5%, 8%), the prevalence of Alzheimer's disease (AD) was 5% (95%CI 4%, 6%), and the prevalence of vascular dementia (VaD) was 1% (95%CI 0%, 2%). The subgroup analysis showed that the prevalence rates of dementia in rural (6%, 95%CI 4%, 8%) and urban areas were similar (6%, 95%CI 4%, 8%). Deaths due to dementia increased over time. CONCLUSION The prevalence, incidence, and mortality of dementia increased with age and over time. Applying consistent criteria to the diagnosis of cognitive impairment and dementia is necessary to help with disease monitoring. Promoting dementia knowledge and awareness at the community level is necessary.
Collapse
Affiliation(s)
- Yueheng Yin
- School of Nursing, Nanjing Medical University, Nanjing 210029, China;
| | - Hon Lon Tam
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China;
| | - Jennifer Quint
- School of Public Health, National Heart and Lung Institute, Imperial College London, London W12 7RQ, UK; (J.Q.); (R.D.)
| | - Mengyun Chen
- School of Nursing, Lanzhou University, Lanzhou 730000, China;
| | - Rong Ding
- School of Public Health, National Heart and Lung Institute, Imperial College London, London W12 7RQ, UK; (J.Q.); (R.D.)
| | - Xiubin Zhang
- School of Public Health, National Heart and Lung Institute, Imperial College London, London W12 7RQ, UK; (J.Q.); (R.D.)
| |
Collapse
|
14
|
Wu Y, Liu Y, Liu Y, Chen Y, Lobanov-Rostovsky S, Zhang Y, Liu Y, Brunner EJ, French E, Liao J. Projections of Socioeconomic Costs for Individuals with Dementia in China 2020-2050: Modeling Study. J Alzheimers Dis 2024; 101:1321-1331. [PMID: 39302371 PMCID: PMC11491998 DOI: 10.3233/jad-240583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/22/2024]
Abstract
Background Previous estimates on future socioeconomic costs of dementia in China are inconsistent, and the main drivers of these costs are unclear. Objective This study projected future socioeconomic costs (healthcare, formal social care, and informal care costs) and value of quality adjusted life years (QALYs) lost to dementia in China and assessed drivers of socioeconomic costs. Methods Based on our prior projection on dementia cases to 2050 by a Markov model, we forecasted future socioeconomic costs and the value of QALYs from a societal perspective, utilizing the China Health and Retirement Longitudinal Study and the Chinese Longitudinal Healthy Longevity Survey. In our main analysis, dementia incidence increased by 2.9% annually, while sensitivity analyses considered a flat or 1.0% annual decrease in the temporal trend of dementia incidence. Furthermore, we decomposed socioeconomic costs changes (2018 US$) into population growth, population aging, dementia prevalence and average socioeconomic costs per case. Results The annual socioeconomic costs and value of QALYs lost to dementia will reach $1,233 billion and $702 billion by 2050. If dementia incidence stays constant or decreases by 1.0% annually, the costs and QALYs would respectively decrease by 34% or 43% in 2050. Informal care is currently, and projected to remain, the largest share of socioeconomic costs. Population aging and rising dementia prevalence will mainly drive the growth in socioeconomic costs through 2050. Conclusions Dementia casts an increasingly large economic burden on Chinese society, mainly driven by fast aging population and growing dementia prevalence.
Collapse
Affiliation(s)
- Yanjuan Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, P.R. China
| | - Yixuan Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, P.R. China
| | - Yuyang Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Shenzhen Health Development Research and Data Management Center, Shenzhen, P.R. China
| | - Yuntao Chen
- Department of Epidemiology & Public Health, University College London, London, UK
| | | | - Yuting Zhang
- Faculty of Economics, University of Cambridge, Cambridge, UK
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Eric J. Brunner
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Eric French
- Faculty of Economics, University of Cambridge, Cambridge, UK
| | - Jing Liao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, P.R. China
| |
Collapse
|
15
|
Chen Y, Bandosz P, Stoye G, Liu Y, Wu Y, Lobanov-Rostovsky S, French E, Kivimaki M, Livingston G, Liao J, Brunner EJ. Dementia incidence trend in England and Wales, 2002-19, and projection for dementia burden to 2040: analysis of data from the English Longitudinal Study of Ageing. Lancet Public Health 2023; 8:e859-e867. [PMID: 37898518 PMCID: PMC10958989 DOI: 10.1016/s2468-2667(23)00214-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/25/2023] [Accepted: 09/06/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Dementia incidence declined in many high-income countries in the 2000s, but evidence on the post-2010 trend is scarce. We aimed to analyse the temporal trend in England and Wales between 2002 and 2019, considering bias and non-linearity. METHODS Population-based panel data representing adults aged 50 years and older from the English Longitudinal Study of Ageing were linked to the mortality register across wave 1 (2002-03) to wave 9 (2018-19) (90 073 person observations). Standard criteria based on cognitive and functional impairment were used to ascertain incident dementia. Crude incidence rates were determined in seven overlapping initially dementia-free subcohorts each followed up for 4 years (ie, 2002-06, 2004-08, 2006-10, 2008-12, 2010-14, 2012-16, and 2014-18). We examined the temporal trend of dementia incidence according to age, sex, and educational attainment. We estimated the trend of dementia incidence adjusted by age and sex with Cox proportional hazards and multistate models. Restricted cubic splines allowed for potential non-linearity in the time trend. A Markov model was used to project future dementia burden considering the estimated incidence trend. FINDINGS Incidence rate standardised by age and sex declined from 2002 to 2010 (from 10·7 to 8·6 per 1000 person-years), then increased from 2010 to 2019 (from 8·6 to 11·3 per 1000 person-years). Adjusting for age and sex, and accounting for missing dementia cases due to death, estimated dementia incidence declined by 28·8% from 2002 to 2008 (incidence rate ratio 0·71, 95% CI 0·58-0·88), and increased by 25·2% from 2008 to 2016 (1·25, 1·03-1·54). The group with lower educational attainment had a smaller decline in dementia incidence from 2002 to 2008 and a greater increase after 2008. If the upward incidence trend continued, there would be 1·7 million (1·62-1·75) dementia cases in England and Wales by 2040, 70% more than previously forecast. INTERPRETATION Dementia incidence might no longer be declining in England and Wales. If the upward trend since 2008 continues, along with population ageing, the burden on health and social care will be large. FUNDING UK Economic and Social Research Council.
Collapse
Affiliation(s)
- Yuntao Chen
- Department of Epidemiology and Public Health, University College London, London, UK.
| | - Piotr Bandosz
- Division of Prevention Medicine & Education, Medical University of Gdansk, Gdansk, Poland
| | | | - Yuyang Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanjuan Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | | | - Eric French
- Faculty of Economics, University of Cambridge, Cambridge, UK
| | - Mika Kivimaki
- Division of Psychiatry, University College London, London, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
| | - Jing Liao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, London, UK
| |
Collapse
|
16
|
Xie F, Ni R. Collection on molecular imaging in neurodegeneration. Eur J Nucl Med Mol Imaging 2023; 50:3166-3167. [PMID: 37480370 DOI: 10.1007/s00259-023-06347-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Affiliation(s)
- Fang Xie
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, 200040, China.
| | - Ruiqing Ni
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| |
Collapse
|
17
|
Xue Z, Ye L, Ge J, Lan Z, Zou X, Mao C, Bao X, Yu L, Xu Y, Zhu X. Wwl70-induced ABHD6 inhibition attenuates memory deficits and pathological phenotypes in APPswe/PS1dE9 mice. Pharmacol Res 2023; 194:106864. [PMID: 37480972 DOI: 10.1016/j.phrs.2023.106864] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 07/04/2023] [Accepted: 07/19/2023] [Indexed: 07/24/2023]
Abstract
Synaptic dysfunction plays a crucial role in the pathogenesis of Alzheimer's disease (AD). α/β-hydrolase domain-containing 6 (ABHD6) contributes to synaptic dysfunctions, and ABHD6 inhibition has shown potential therapeutic value in neurological disorders. However, the role of ABHD6 in AD has not been fully defined. In this study, we demonstrated that adeno-associated virus (AAV) mediated shRNA targeting ABHD6 in hippocampal neurons attenuated synaptic dysfunction and memory impairment of APPswe/PS1dE9 (APP/PS1) mice, while it didn't affect the amyloid-beta (Aβ) levels and neuroinflammation in the brains. In addition, intraperitoneal injection of wwl70, a specific inhibitor of ABHD6, improved synaptic plasticity and memory function in APP/PS1 mice, which might attribute to the activation of endogenous cannabinoid signaling. Furthermore, wwl70 significantly decreased the Aβ levels and neuroinflammation in the hippocampus of AD mice, and enhanced Aβ phagocytized by microglia. In conclusion, for the first time our data have shown that ABHD6 inhibition might be a promising strategy for AD treatment, and wwl70 is a potential candidate for AD drug development pipeline.
Collapse
Affiliation(s)
- Zhiwei Xue
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Lei Ye
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Jianwei Ge
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Zhen Lan
- Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xinxin Zou
- Department of Neurology, Drum Tower Hospital of Xuzhou Medical University, Nanjing, Jiangsu, China
| | - Chenglu Mao
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Xinyu Bao
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Linjie Yu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China; Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Department of Neurology, Drum Tower Hospital of Xuzhou Medical University, Nanjing, Jiangsu, China
| | - Xiaolei Zhu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, Jiangsu, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, Jiangsu, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, Jiangsu, China; Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
| |
Collapse
|
18
|
Jiao M, Liu C, Liu Y, Wang Y, Gao Q, Ma A. Estimates of the global, regional, and national burden of atrial fibrillation in older adults from 1990 to 2019: insights from the Global Burden of Disease study 2019. Front Public Health 2023; 11:1137230. [PMID: 37377555 PMCID: PMC10291625 DOI: 10.3389/fpubh.2023.1137230] [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: 01/04/2023] [Accepted: 05/12/2023] [Indexed: 06/29/2023] Open
Abstract
Background Atrial fibrill ation (AF) is a predominant public health concern in older adults. Therefore, this study aimed to explore the global, regional, and national burden of AF in older adults aged 60-89 between 1990 and 2019. Methods The morbidity, mortality, disability-adjusted life years (DALYs), and age-standardized rates of AF were refined from the Global Burden of Diseases study 2019. The epidemiological characteristics were assessed based on numerical values, age-standardized rates per 100,000 person-years, and estimated annual percentage changes (EAPC). Results Globally, a total of 33.31 million AF cases, 219.4 thousand deaths, and 65.80 million DALYs were documented in 2019. There were no appreciable changes in EAPC from 1990 to 2019. The disease burden of AF differed significantly across different territories and countries. At the national level, China exhibited the highest number of incident cases [818,493 (562,871-1,128,695)], deaths [39,970 (33,722-46,387)], and DALYs [1,383,674 (1,047,540-1,802,516)]. At the global level, high body mass index (BMI) and high systolic blood pressure (SBP) were two predominant risk factors contributing to the proportion of AF-related deaths. Conclusion AF in older adults remains a major public health concern worldwide. The burden of AF varies widely at both national and regional levels. From 1990 to 2019, the cases of incidences, deaths, and DALYs have shown a global increase. The ASIR, ASMR, and ASDR have declined in the high-moderate and high SDI regions; however, the burden of AF increased promptly in the lower SDI regions. Special attention should be paid to the main risk factors for high-risk individuals with AF, which can help control systolic blood pressure and body mass index within normal limits. Over all, it is necessary to illustrate the features of the global AF burden and develop more effective and targeted prevention and treatment strategies.
Collapse
Affiliation(s)
- Min Jiao
- School of Public Health, Weifang Medical University, Weifang, China
| | - Chenglin Liu
- Department of Cardiology, Affiliated Hospital of Jining Medical University, Jining, China
| | - Yongwen Liu
- School of Public Health, Weifang Medical University, Weifang, China
| | - Yan Wang
- School of Public Health, Weifang Medical University, Weifang, China
| | - Qianqian Gao
- School of Management, Weifang Medical University, Weifang, China
| | - Anning Ma
- School of Public Health, Weifang Medical University, Weifang, China
| |
Collapse
|
19
|
Wang Y, Jiang Y, Wu W, Xu K, Zhao Q, Tan Z, Liang X, Fan M, Xiao Z, Zheng L, Ding S, Dong Q, Hong Z, Jin L, Chen X, Ding D, Cui M. Education, neighborhood environment, and cognitive decline: Findings from two prospective cohort studies of older adults in China. Alzheimers Dement 2023; 19:560-568. [PMID: 35639636 DOI: 10.1002/alz.12679] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/17/2022] [Accepted: 03/02/2022] [Indexed: 11/10/2022]
Abstract
INTRODUCTION The impacts of education on cognitive decline across different neighborhood environments (NEs) have rarely been studied. METHODS We investigated and compared the associations between educational attainment and cognitive decline using data of 1286 participants from the Taizhou Imaging Study (TIS) and the Shanghai Aging Study (SAS). RESULTS Compared with low-educated participants, in TIS with disadvantaged NE, high-educated participants manifested a significantly slower decline in global cognition (.062 Z score per year, P < .001), memory (.054 Z score per year, P < .05), and attention (.065 Z score per year, P < .01), whereas in SAS with advanced NE, highly educated individuals exhibited a slower decline only in attention (.028 Z score per year, P < .05). DISCUSSION We observed the additive effect of educational attainment and NE on cognitive decline in older adults. Education is especially important for maintaining cognitive health in a disadvantaged environment.
Collapse
Affiliation(s)
- Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Wanqing Wu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ziyi Tan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xiaoniu Liang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Zhenxu Xiao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Saineng Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Zhen Hong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| |
Collapse
|
20
|
Zhang K, Kan C, Luo Y, Song H, Tian Z, Ding W, Xu L, Han F, Hou N. The promotion of active aging through older adult education in the context of population aging. Front Public Health 2022; 10:998710. [PMID: 36299739 PMCID: PMC9589353 DOI: 10.3389/fpubh.2022.998710] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/22/2022] [Indexed: 01/26/2023] Open
Abstract
We have entered an era of population aging, and many public health problems associated with aging are becoming more serious. Older adults have earlier onset of chronic diseases and suffer more disability. Therefore, it is extremely important to promote active aging and enhance health literacy. These involves full consideration of the need for education and the provision of solutions to problems associated with aging. The development of OAE is an important measure for implementing the strategy of active aging, and curriculum construction is a fundamental component of achieving OAE. Various subjective and objective factors have limited the development of OAE. To overcome these difficulties and ensure both active and healthy aging, the requirements for active aging should be implemented, the limitations of current OAE should be addressed, system integration should be increased, and the curriculum system should be improved. These approaches will help to achieve the goal of active aging. This paper discusses OAE from the perspective of active aging, based on the promotion of health literacy and provides suggestions to protect physical and mental health among older adults, while promoting their social participation. The provision of various social guarantees for normal life in older adults is a new educational concept.
Collapse
Affiliation(s)
- Kexin Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Chengxia Kan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Youhong Luo
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Hongwei Song
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Zhenghui Tian
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Wenli Ding
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Linfei Xu
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Fang Han
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China,*Correspondence: Fang Han
| | - Ningning Hou
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Ningning Hou
| |
Collapse
|
21
|
Zhang K, Cheng X, Qu N, Song H, Luo Y, Ye T, Xu Q, Tian H, Kan C, Hou N. Global Burden of cardiomyopathy and myocarditis in the older adults from 1990 to 2019. Front Public Health 2022; 10:1018385. [PMID: 36211688 PMCID: PMC9545016 DOI: 10.3389/fpubh.2022.1018385] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/07/2022] [Indexed: 01/28/2023] Open
Abstract
Background Cardiomyopathy and myocarditis (CM-MC) are common chronic diseases causing heart failure in older adults. We aimed to analyze the burden of CM-MC in older adults aged 60-89 years at the global, regional, and national levels in 204 countries from 1990 to 2019. Methods Detailed data on CM-MC from 1990 to 2019 were analyzed from the Global Burden of Diseases Study 2019, including incidence, mortality, disability-adjusted life years (DALYs) and the proportion of deaths caused by different risks factors. All results are presented as numbers, age-standardized rates per 100,000 person-years and estimated annual percentage change (EAPC) with an uncertainty interval of 95%. Results Globally, there were 475,458 (339,942-638,363) incidence cases from CM-MC in 2019; with an age-standardized incidence rate (ASIR) of 16 (13-19.3) per 100,000 person-years. And there were 185,308 (154,610-200,448) deaths, with the age-standardized mortality rate (ASMR) being 4.4 (3.7-4.8). CM-MC resulted in 3,372,716 (2,931,247-3,693,622) DALYs, with an age-standardized DALYs rate (ASDR) of 114.8 (98.7-126.1). Estimated annual percentage change (EAPCs) for ARIS, ARMS, and ARDS has decreased. At the national level, the United States of America had the highest mortality [21,372 (18,924-24,241)] and disability-adjusted life years [407,712 (370,234-470,165)]. And China had the highest number of incident cases [122, 266 (85,925-166,095)]. Globally, high systolic blood pressure and alcohol consumption were the top two risk factors for the proportion of CM-MC deaths. Conclusion CM-MC is still an important cause of early death and chronic disability in older adults. Based on this study, public health agencies should seek more effective methods to prevent and treat CM-MC.
Collapse
Affiliation(s)
- Kexin Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xuebing Cheng
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Na Qu
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Hongwei Song
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Youhong Luo
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Tongtong Ye
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Qian Xu
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Hongzhan Tian
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Chengxia Kan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,*Correspondence: Chengxia Kan
| | - Ningning Hou
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China,Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China,Ningning Hou
| |
Collapse
|
22
|
Annual Incidence of Dementia from 2003 to 2018 in Metropolitan Seoul, Korea: A Population-Based Study. J Clin Med 2022; 11:jcm11030819. [PMID: 35160270 PMCID: PMC8836574 DOI: 10.3390/jcm11030819] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/20/2022] [Accepted: 01/29/2022] [Indexed: 12/10/2022] Open
Abstract
National dementia plans were applied in dementia support centers established in Seoul, Korea between 2007 and 2009. However, the annual incidence rates of dementia in Seoul have not been reported. We investigated this annual incidence and the characteristics of incident cases from 2003 to 2018. The customized research database of the Korean National Health Insurance Services was used. The annual crude and age-standardized incidence of dementia patients and their characteristics were analyzed. This study analyzed 108,596 incident dementia cases aged ≥60 years. The incidence rate increased from 2003 to 2011, including a rapid increment from 2007 to 2011. From 2011 to 2018, the crude (age-standardized) incidence per 105 person-years decreased from 641.51 (577.12) to 448.26 (361.23). The proportion of incident dementia cases was highest in the highest income group every year. However, the proportion of incident dementia cases in the lowest income group increased from 10.4% in 2003 to 25.8% in 2011. The annual incidence rate of dementia showed a sharp increase immediately after 2007, the year dementia support centers began to be introduced, and then stabilized after 2011. The characteristics of incident dementia cases have changed, including the proportion in the low-income group.
Collapse
|
23
|
Gao Y, Liu X. Secular Trends in the Incidence of and Mortality Due to Alzheimer's Disease and Other Forms of Dementia in China From 1990 to 2019: An Age-Period-Cohort Study and Joinpoint Analysis. Front Aging Neurosci 2021; 13:709156. [PMID: 34539380 PMCID: PMC8446521 DOI: 10.3389/fnagi.2021.709156] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/13/2021] [Indexed: 11/23/2022] Open
Abstract
Background The number of individuals with dementia is increasing, which negatively affects families, communities, and health care systems worldwide. The changes in the incidence of and mortality due to Alzheimer’s disease and other forms of dementia at the national level in China have remained unknown over the past three decades. Methods Following the general analytical strategy used in the Global Burden of Disease Study (GBD) 2019, the age- and sex-specific incidence and mortality rates for dementia in China were analyzed. Trends in the incidence of and mortality due to dementia from 1990 to 2019 were assessed by joinpoint regression analysis. The effects of age, period and cohort on the incidence of and mortality due to dementia were estimated by an age-period-cohort model. Results The age-standardized incidence and mortality rates per 100,000 population were 103.83 (95% UI, 87.93–118.87) and 23.32 (95% UI, 5.66–61.31), respectively, for dementia in 2019. From 1990 to 2019, a significant average annual percentage change (AAPC) in the age-standardized incidence rate was observed in both males [0.49% (95% CI, 0.43–0.55%)] and females [0.31% (95% CI, 0.24–0.38%)], and the age-standardized mortality rate significantly increased in males [0.42% (95% CI, 0.31–0.53%)]. The population aged 55–59 years had the highest AAPC in the incidence of dementia [0.87% (95% CI, 0.81–0.93%)]. The age effect showed that the relative risks (RRs) of incident dementia and dementia-associated mortality increased with age among males and females, and individuals aged 60 years and older had significantly higher RRs. The RR of incident dementia increased with time, and the RR started to substantially increase in 2009. The cohort effect showed that the incidence decreased in successive birth cohorts. Conclusion Alzheimer’s disease and other forms of dementia continue to become more common among males and females in China, and the associated mortality rate in males significantly increased from 1990 to 2019. Early interventions should be implemented to reduce the burden of dementia on individuals at high risk in China.
Collapse
Affiliation(s)
- Yongliang Gao
- Department of Neurology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaonan Liu
- Department of Neurological Function Examination, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| |
Collapse
|
24
|
Liu YH, Wang YR, Wang QH, Chen Y, Chen X, Li Y, Cen Y, Xu C, Hu T, Liu XD, Yang LL, Li SJ, Liu XF, Liu CM, Zhu J, Li W, Zhang LL, Liu J, Wang YJ. Post-infection cognitive impairments in a cohort of elderly patients with COVID-19. Mol Neurodegener 2021; 16:48. [PMID: 34281568 PMCID: PMC8287105 DOI: 10.1186/s13024-021-00469-w] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/30/2021] [Indexed: 01/08/2023] Open
Abstract
Background Understanding the long-term effects of coronavirus disease 2019 (COVID-19) on cognitive function is essential for monitoring the cognitive decline in the elderly population. This study aims to assess the current cognitive status and the longitudinal cognitive decline in elderly patients recovered from COVID-19. Methods This cross-sectional study recruited 1539 COVID-19 inpatients aged over 60 years who were discharged from three COVID-19-designated hospitals in Wuhan, China, from February 10 to April 10, 2020. In total, 466 uninfected spouses of COVID-19 patients were selected as controls. The current cognitive status was assessed using a Chinese version of the Telephone Interview of Cognitive Status-40 (TICS-40) and the longitudinal cognitive decline was assessed using an Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Cognitive assessments were performed 6 months after patient discharge. Results Compared with controls, COVID-19 patients had lower TICS-40 scores and higher IQCODE scores [TICS-40 median (IQR): 29 (25 to 32) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.19 (3.00 to 3.63) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had lower TICS-40 scores and higher IQCODE scores than non-severe COVID-19 patients [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.63 (3.13 to 4.31) vs. 3.13 (3.00 to 3.56), p < 0.001] and controls [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR) 3.63 (3.13 to 4.31) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had a higher proportion of cases with current cognitive impairment and longitudinal cognitive decline than non-severe COVID-19 patients [dementia: 25 (10.50 %) vs. 9 (0.69 %), p < 0.001; Mild cognitive impairment (MCI): 60 (25.21 %) vs. 63 (4.84 %), p < 0.001] and controls [dementia: 25 (10.50 %) vs. 0 (0 %), p < 0.001; MCI: 60 (25.21 %) vs. 20 (4.29 %), p < 0.001)]. COVID-19 severity, delirium and COPD were risk factors of current cognitive impairment. Low education level, severe COVID-19, delirium, hypertension and COPD were risk factors of longitudinal cognitive decline. Conclusions Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with an increased risk of long-term cognitive decline in elderly population. COVID-19 patients, especially severe patients, should be intensively monitored for post-infection cognitive decline. Supplementary Information The online version contains supplementary material available at 10.1186/s13024-021-00469-w.
Collapse
Affiliation(s)
- Yu-Hui Liu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ye-Ran Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Qing-Hua Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yang Chen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Xian Chen
- Department of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ying Li
- Department of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yuan Cen
- Department of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Cheng Xu
- Department of Oncology, General Hospital of the Central Theatre Command of the People's Liberation Army, Wuhan, China
| | - Tian Hu
- Department of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Xu-Dong Liu
- Department of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ling-Li Yang
- Department of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Si-Jing Li
- Department of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Xue-Fei Liu
- Department of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Chun-Mei Liu
- Department of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Jie Zhu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Wei Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Li-Li Zhang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Juan Liu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
| |
Collapse
|
25
|
Guo D, Zhang X, Zhan C, Lin Q, Liu J, Yang Q, Tu J, Ning X, Wang J, Song Y. Sex Differences in the Association Between Obesity and Cognitive Impairment in a Low-Income Elderly Population in Rural China: A Population-Based Cross-Sectional Study. Front Neurol 2021; 12:669174. [PMID: 34305783 PMCID: PMC8299782 DOI: 10.3389/fneur.2021.669174] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/10/2021] [Indexed: 02/02/2023] Open
Abstract
Background: Obesity is a potentially modifiable risk factor for cognitive impairment. However, sex-specific relationships between obesity and cognitive impairment in late life remain unclear. Objective: We aimed to assess sex differences in the association between various obesity parameters and cognitive impairment in a low-income elderly population in rural China. Methods: A population-based cross-sectional study was conducted to collect basic information from elderly residents aged 60 years and older from April 2014 to August 2014 in rural areas of Tianjin, China. Obesity parameters, including body mass index (BMI) and waist circumference (WC), and Mini Mental State Examination scores were measured, and the relationships between these variables were assessed. Results: A total of 1,081 residents with a mean age of 67.70 years were enrolled in this study. After adjusting for age, educational attainment, smoking status, drinking status, physical exercise participation, and the presence of diabetes and hyperlipidemia, blood pressure group; a high BMI was found to be associated with an increased prevalence of cognitive impairment in elderly women. Each 1-unit increase in BMI was associated with a 5.9% increase in the prevalence of cognitive impairment. WC was related to the prevalence of cognitive impairment in elderly men, and each 1-cm increase in WC was associated with a 4.0% decrease in the prevalence of cognitive impairment. However, there were no significant associations between WC and cognitive function in women or between BMI and cognitive impairment in men. Conclusion: A greater WC was positively associated with better cognitive function in low-income elderly men in rural China, whereas a higher BMI was associated with an increased risk of cognitive impairment in elderly women, independent of sociodemographic, lifestyle, and health-related comorbid factors. Our results suggest weight management of elderly women in rural China may have cognitive benefits. However, randomized controlled trials would be needed to confirm causality.
Collapse
Affiliation(s)
- Dandan Guo
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Zhang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Changqing Zhan
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Department of Neurology, Wuhu No.2 People's Hospital, Wuhu, China
| | - Qiuxing Lin
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin, China
| | - Jie Liu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin, China
| | - Qiaoxia Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jun Tu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin, China
| | - Xianjia Ning
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin, China
| | - Jinghua Wang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin, China
| | - Yijun Song
- Department of General Medicine, Tianjin Medical University General Hospital, Tianjin, China
| |
Collapse
|
26
|
Feter N, Leite JS. Is Brazil ready for the expected increase in dementia prevalence? CAD SAUDE PUBLICA 2021; 37:e00056421. [PMID: 34105619 DOI: 10.1590/0102-311x00056421] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 03/25/2021] [Indexed: 11/21/2022] Open
Affiliation(s)
- Natan Feter
- Universidade Federal de Pelotas, Pelotas, Brasil.,The University of Queensland, St. Lucia, Australia
| | | |
Collapse
|