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Hou D, Sun Y, Liu Z, Sun H, Li Y, Wang R. A longitudinal study of factors associated with cognitive frailty in middle-aged and elderly population based on the health ecology model. J Affect Disord 2024; 352:410-418. [PMID: 38367710 DOI: 10.1016/j.jad.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/25/2024] [Accepted: 02/07/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Cognitive frailty (CF) is an important geriatric syndrome and is reversible. It is crucial to develop preventive interventions for CF. We aimed to explore the associations between CF and its associated factors in Chinese aged 45 years and above. METHODS Based on the available data of 3 waves in China Health and Retirement Longitudinal Study from 2011 to 2015, 16,071 individuals aged 45 years and above from 3 waves were included. Based on the health ecology model, the associated factors were classified as downstream, midstream and upstream factors. Generalized hierarchical linear model including time level, individual level, and province level was applied to analyze the associations between factors and CF. RESULTS Multilevel factors have different effects on physical and cognitive function. In the downstream, old age, female, underweight, chronic diseases, and depression were risk factors of reversible CF and potentially reversible CF, and overweight was their protective factor. In the midstream, short or long night sleep duration was their risk factor, and > 30 and ≤ 60 min afternoon naps, alcohol drinking, and participation in social activities were their protective factors. In the upstream, living in rural areas was their risk factor, and high educational level, household consumption and GDP per capita were their protective factors. CONCLUSIONS Physical function and cognitive function are affected differently by multiple factors. The occurrence and development of physical frailty and cognitive impairment may have some common mechanisms. CF can be influenced by multilevel factors, and multilevel and comprehensive management of CF should be achieved. KEY POINTS Cognitive frailty was correlated with multilevel factors, including downstream, midstream, and upstream factors. It is crucial to focus on individual interventions such as physiological factors, psychological factors and health behaviors, especially the elderly, women and those with depression. Socioeconomic status was associated with the lower prevalence of cognitive frailty.
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Affiliation(s)
- Dingchun Hou
- School of Nursing, Peking University, Beijing 100191, China
| | - Yumei Sun
- School of Nursing, Peking University, Beijing 100191, China
| | - Zhike Liu
- School of Public Health, Peking University, Beijing 100191, China
| | - Hongyu Sun
- School of Nursing, Peking University, Beijing 100191, China.
| | - Yi Li
- School of Public Health, Peking University, Beijing 100191, China.
| | - Rui Wang
- School of Nursing, Peking University, Beijing 100191, China
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Yuan S, Ling Y, Huang X, Tan S, Li W, Xu A, Lyu J. Associations between the use of common nonsteroidal anti-inflammatory drugs, genetic susceptibility and dementia in participants with chronic pain: A prospective study based on 194,758 participants from the UK Biobank. J Psychiatr Res 2024; 169:152-159. [PMID: 38039689 DOI: 10.1016/j.jpsychires.2023.11.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 11/01/2023] [Accepted: 11/16/2023] [Indexed: 12/03/2023]
Abstract
OBJECTIVE To investigate the potential relationship between common nonsteroidal anti-inflammatory drugs (NSAIDs), genetic susceptibility and all-cause dementia (ACD), Alzheimer's disease (AD), and vascular dementia (VD) among individuals experiencing chronic pain. METHODS This study was based on 194,758 chronic pain participants form UK biobank with a median follow-up of 13.7 years. Participants were categorized into different NSAIDs painkiller regimen groups: No NSAIDs group, Aspirin group, Ibuprofen group, Paracetamol group, and 2-3 NSAIDs group. Cox proportional risk models were used to examine the correlation between regular NSAIDs usage and the risk of ACD, AD, and VD. In addition, we further performed subgroup analyses and sensitivity analyses. RESULTS 1) Compared to the No NSAIDs group, the aspirin group (HR = 1.12, 95% CI:1.01-1.24, P < 0.05), the paracetamol group (HR = 1.15, 95% CI:1.05-1.27, P < 0.01), and the 2-3 NSAIDs group (HR = 1.2, 95% CI:1.08-1.33, P < 0.05) showed a higher risk of ACD. Furthermore, the 2-3 NSAIDs group was also associated with a higher risk of VD (HR = 1.39, 95% CI: 1.08-1.33, P < 0.05). 2) At high dementia GRS participants with chronic pain, the paracetamol group (HR = 1.2, 95% CI: 1.03-1.43, P < 0.05) and the NSAIDs group (HR = 1.3, 95% CI: 1.07-1.59, P < 0.05) were associated with a higher risk of ACD compared to the no painkiller group. 3) There was no significant association between ibuprofen use and higher risk of dementia. CONCLUSION In individuals with chronic pain, the use of aspirin and paracetamol was associated with a higher risk of ACD, whereas the use of ibuprofen was not significantly associated with a higher risk of ACD.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China
| | - Wanyue Li
- Department of Rehabilitation, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, 510630, China.
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Yuan S, Li W, Ling Y, Huang X, Feng A, Tan S, He N, Li L, Li S, Xu A, Lyu J. Associations of screen-based sedentary activities with all cause dementia, Alzheimer's disease, vascular dementia: a longitudinal study based on 462,524 participants from the UK Biobank. BMC Public Health 2023; 23:2141. [PMID: 37919716 PMCID: PMC10621115 DOI: 10.1186/s12889-023-17050-3] [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: 04/20/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Current drug treatments for dementia aren't effective. Studying gene-environment interactions can help develop personalized early intervention strategies for Alzheimer's disease (AD). However, no studies have examined the relationship between screen-based sedentary activities and genetic susceptibility to AD risk, and further understanding of the causal relationship is also crucial. METHODS This study included 462,524 participants from the UK Biobank with a follow-up of 13.6 years. Participants' screen-based sedentary activities time was categorized into three groups based on recorded time: ≥ 4 h/day, 2-3 h/day, and ≤ 1 h/day. Cox proportional risk models were used to analyze the association between computer use/TV viewing groups and the risk of all-cause dementia, AD and vascular dementia (VD). Generalized linear model (GLM) were used to examine the relationship between screen-based sedentary activities and brain structure. Bidirectional Mendelian randomization (MR) was used to validate the causal relationship between TV viewing and AD. RESULTS Compared to TV viewing ≤ 1 h/day, 1)TV viewing 2-3 h/day was correlated with a higher risk of all-cause dementia (HR = 1.09, 95% CI:1.01-1.18, P < 0.05), and TV viewing ≥ 4 h/day was associated with a higher risk of all-cause dementia (HR = 1.29, 95% CI: 1.19-1.40, P < 0.001), AD (HR = 1.25, 95% CI:1.1-1.42, P < 0.001), and VD (HR = 1.24, 95% CI: 1.04-1.49, P < 0.05); 2) TV viewing ≥ 4 h/day was correlated with a higher AD risk at intermediate (HR = 1.34, 95% CI: 1.03-1.75, P < 0.001) and high AD genetic risk score (AD-GRS) (HR = 2.18, 95% CI: 1.65-2.87, P < 0.001);3) TV viewing 2-3 h/day [β = (-94.8), 95% CI: (-37.9) -(-151.7), P < 0.01] and TV viewing ≥ 4 h/day [β = (-92.94), 95% CI: (-17.42) -(-168.46), P < 0.05] were correlated with a less hippocampus volume. In addition, a causal effect of TV viewing times was observed on AD analyzed using MR Egger (OR = 5.618, 95%CI:1.502-21.013, P < 0.05). CONCLUSIONS There was a causal effect between TV viewing time and AD analyzed using bidirectional MR, and more TV viewing time exposure was correlated with a higher AD risk. Therefore, it is recommended that people with intermediate and high AD-GRS should control their TV viewing time to be less than 4 h/ day or even less than 1 h/day.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Wanyue Li
- Department of Rehabilitation, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Yitong Ling
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Xiaxuan Huang
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Aozi Feng
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Shanyuan Tan
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Ningxia He
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Li Li
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Shuna Li
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Anding Xu
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
| | - Jun Lyu
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, 510630, Guangdong, China.
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Hou Z, Lin Y, Yang X, Chen J, Li G. Therapeutics of Extracellular Vesicles in Cardiocerebrovascular and Metabolic Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1418:187-205. [PMID: 37603281 DOI: 10.1007/978-981-99-1443-2_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Extracellular vesicles (EVs) are nanoscale membranous vesicles containing DNA, RNA, lipids, and proteins, which play versatile roles in intercellular communications. EVs are increasingly being recognized as the promising therapeutic agents for many diseases, including cardiocerebrovascular and metabolic diseases, due to their ability to deliver functional and therapeutical molecules. In this chapter, the biological characteristics and functions of EVs are briefly summarized. Importantly, the current state of applying EVs in the prevention and treatment of cardiocerebrovascular and metabolic diseases, including myocardial infarction, atrial fibrillation, myocardial hypertrophy, stroke, diabetes, Alzheimer's disease, fatty liver, obesity, thyroid diseases, and osteoporosis, is discussed. Lastly, the challenges and prospects related to the preclinical and clinical application of EVs receive a particular focus.
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Affiliation(s)
- Zhitao Hou
- College of Basic Medical and Sciences, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
- Key Laboratory of Chinese Internal Medicine of the Ministry of Education, Dongzhimen Hospital Affiliated with Beijing University of Chinese Medicine, Beijing, China
| | - Yiyan Lin
- Department of Cell Biology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Xinyu Yang
- Key Laboratory of Chinese Internal Medicine of the Ministry of Education, Dongzhimen Hospital Affiliated with Beijing University of Chinese Medicine, Beijing, China
- Fangshan Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Jing Chen
- College of Basic Medical and Sciences, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
| | - Guoping Li
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Yuan S, Ma W, Yang R, Xu F, Han D, Huang T, Peng MI, Xu A, Lyu J. Sleep duration, genetic susceptibility, and Alzheimer's disease: a longitudinal UK Biobank-based study. BMC Geriatr 2022; 22:638. [PMID: 35918656 PMCID: PMC9344659 DOI: 10.1186/s12877-022-03298-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 07/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is the most frequently occurring type of dementia. Concurrently, inadequate sleep has been recognized as a public health epidemic. Notably, genetic and environmental factors are now considered contributors to AD progression. OBJECTIVE To assess the association between sleep duration, genetic susceptibility, and AD. METHODS AND RESULTS Based on 483,507 participants from the UK Biobank (UKB) with an average follow-up of 11.3 years, there was a non-linear relationship between AD incidence and sleep duration (P for non-linear < 0.001) by restricted cubic splines (RCS). Sleep duration was categorized into short sleep duration (< 6 h/night), normal sleep duration (6-9 h/night), and long sleep duration (> 9 h/night). No statistically significant interaction was identified between sleep duration and the AD-GRS (Alzheimer's disease genetic risk score, P for interaction = 0.45) using Cox proportional risk model. Compared with the participants who had a low AD-GRS and normal sleep duration, there was associated with a higher risk of AD in participants with a low AD-GRS and long sleep duration (HR = 3.4806; 95% CI 2.0011-6.054, p < 0.001), participants with an intermediate AD-GRS and long sleep duration (HR = 2.0485; 95% CI 1.3491-3.1105, p < 0.001), participants with a high AD-GRS and normal sleep duration (HR = 1.9272; 95% CI 1.5361-2.4176, p < 0.001), and participants with a high AD-GRS and long sleep duration (HR = 5.4548; 95% CI 3.1367-9.4863, p < 0.001).In addition, there was no causal association between AD and sleep duration using Two Sample Mendelian randomization (MR). CONCLUSION In the UKB population, though there was no causal association between AD and sleep duration analyzed using Two Sample MR, long sleep duration (> 9 h/night) was significantly associated with a higher risk of AD, regardless of high, intermediate or low AD-GRS. Prolonged sleep duration may be one of the clinical predictors of a higher risk of AD.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Wen Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Rui Yang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Fengshuo Xu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Didi Han
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Tao Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - MIn Peng
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China.
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