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He CYY, Zhou Z, Kan MMP, Chan DHY, Wong ACT, Mok KHY, Lam FMH, Chan SCC, Cheung CKC, Yeung MKC, Wong AYL. Modifiable risk factors for mild cognitive impairment among cognitively normal community-dwelling older adults: A systematic review and meta-analysis. Ageing Res Rev 2024; 99:102350. [PMID: 38942197 DOI: 10.1016/j.arr.2024.102350] [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: 08/21/2023] [Revised: 05/16/2024] [Accepted: 05/26/2024] [Indexed: 06/30/2024]
Abstract
Although numerous studies have investigated modifiable risk factors for mild cognitive impairment (MCI) among community-dwelling seniors, no meta-analysis has summarized these findings. Five databases were searched from January 1, 2000, to December 30, 2023. The protocol was registered with PROSPERO. Data were extracted and reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Relevant meta-analyses of modifiable risk factors were performed. The evidence of each factor was assessed by the GRADE for cohort studies. Of 16,651 citations, 87 studies involving 225,584 community-dwelling seniors were included. Fourteen meta-analyses involving 20 studies with 44,199 participants were performed. The analyses revealed low-to-moderate-quality evidence supporting that diabetes, 2 or more comorbidities, anxiety, apathy, depressive symptoms, and physical frailty were risk factors for incident MCI in older adults. Conversely, hypertension, agitation, and irritability might not be risk factors. Additionally, moderate-quality evidence supports the protective effect of engaging in cognitive-demanding activities on the onset of MCI. Collectively, this study constitutes the first extensive compilation of evidence regarding the various risk factors for the development of MCI in older adults. Our findings hold significant potential to guide the formulation of prevention and management strategies to either prevent or potentially reverse the onset of MCI.
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Affiliation(s)
- Christo Y Y He
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Zhixing Zhou
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Mandy M P Kan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Dorothy H Y Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Athena C T Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Kenny H Y Mok
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Freddy M H Lam
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Sam C C Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Chelsia K C Cheung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
| | - Michael K C Yeung
- Department of Psychology, The Education University of Hong Kong, 999077, Hong Kong Special Administrative Region of China.
| | - Arnold Y L Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China; Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
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Li X, Bae JH, Lim B, Seo JW, Sung Y, Jiang S, Jamrasi P, Ahn S, Shin C, Pan M, Song W. Impact of Taekwondo training on cognitive and physical function in elderly individuals: A comprehensive review of randomized controlled trials. Complement Ther Clin Pract 2024; 57:101878. [PMID: 38959563 DOI: 10.1016/j.ctcp.2024.101878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Researchers have investigated the physical and psychosocial advantages of Taekwondo for older adults. However, prior studies of Taekwondo's impact on physical function and psychological well-being in this demographic have produced inconsistent findings. Thus, this systematic review aimed to assess how Taekwondo practice affects the physical function and psychological well-being of older adults. METHODS We systematically searched PubMed, EMBASE, CINAHL, SPORTDiscus, Scopus, Korea Education and Research Information Service, Korean Studies Information Service System, Korean National Assembly Library, Research Information Sharing Service, National Digital Science Library, and China National Knowledge Infrastructure from their inception to December 2023. Two reviewers independently selected and extracted data from each study. We calculated effect sizes using a random-effects model with a 95 % confidence interval (CI) and evaluated study quality using the Physiotherapy Evidence Database scale. RESULTS This review included ten studies with 227 participants aged 66.1-73.6 years. The meta-analysis revealed significant enhancements in cognitive function [Korean Version of Mini-Mental State Examination, standard mean difference (SMD) = 0.700, 95 % CI (0.364-1.037), I2 = 0 %, p < .001], blood indicators [β-amyloid, SMD = 0.613, 95 % CI (0.103-1.123), I2 = 34.920 %, p < .05; brain-derived neurotrophic factor, SMD = 0.566, 95 % CI (0.166-0.966), I2 = 0 %, p < .01; high-density lipoprotein cholesterol, SMD = 0.677, 95 % CI (0.357-0.966), I2 = 0 %, p < .001; low-density lipoprotein cholesterol, SMD = 0.809, 95 % CI (0.376-1.242), I2 = 42.621 %, p < .001; and total cholesterol, SMD = 0.979, 95 % CI (0.603-1.356), I2 = 22.221 %, p < .001], and physical function [lean body mass, SMD = 0.465, 95 % CI (0.109-0.821), I2 = 0 %, p < .05, and handgrip strength, SMD = 0.929, 95 % CI (0.194-1.663), I2 = 48.217 %, p < .05]. CONCLUSIONS This meta-analysis indicates that Taekwondo training is a beneficial therapy with protective effects on cognitive function, physical function, and body composition in older adults. These findings highlight its potential significance in cognitive rehabilitation and physiological health promotion among this demographic population.
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Affiliation(s)
- Xinxing Li
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Jun-Hyun Bae
- Institute of Sport Science, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Byunggul Lim
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Ji-Won Seo
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Yunho Sung
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Shu Jiang
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Parivash Jamrasi
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - SoYoung Ahn
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Chaeyoung Shin
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Mingzhu Pan
- School of Physical Education, Shangrao Normal University, 334001, Shangrao, Jiangxi, China
| | - Wook Song
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute of Sport Science, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea.
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Chen L, Qiu R, Wang B, Liu J, Li X, Hou Z, Wu T, Cao H, Ji X, Zhang P, Zhang Y, Xue M, Qiu L, Wang L, Wei Y, Chen M. Investigating the association between inflammation mediated by mushroom consumption and mild cognitive impairment in Chinese older adults. Food Funct 2024; 15:5343-5351. [PMID: 38634265 DOI: 10.1039/d3fo04263d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Background: Chronic inflammatory stimulation is a major risk factor for mild cognitive impairment. Mushroom consumption and inflammatory factors may play an important role in the pathogenesis of mild cognitive impairment. Additionally, consuming mushrooms can reduce the levels of inflammatory cytokines and preserve cognitive function. Therefore, this study aimed to investigate the relationship between mushroom consumption and serum inflammatory cytokines and mild cognitive impairment (MCI). Methods: Binary logistic regression was used to determine the relationship between mushroom consumption and MCI in 550 participants. Subsequently, mediation analysis was used to analyze the relationship between mushroom consumption, inflammatory factors, and the Montreal Cognitive assessment (MoCA) score in 248 participants. Results: Mushroom consumption was associated with MCI (odds ratio = 0.623, 95% confidence interval = 0.542-0.715, P < 0.001). The association between mushroom intake and MCI was mediated by interleukin-6 (IL-6) and hypersensitive C-reactive protein (hs-CRP), and the MoCA score was 12.76% and 47.59%, respectively. Conclusion: A high intake of mushrooms was associated with a low risk of MCI. Serum inflammatory factors including IL-6 and hs-CRP play a partial mediating role between mushroom intake and the MoCA score, and the underlying mechanism needs to be further explored.
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Affiliation(s)
- Lili Chen
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
- Department of Nursing, Fujian Provincial Hospital, Fuzhou, China
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Rongyan Qiu
- Fujian Provincial Governmental Hospital, Fuzhou, China
| | - Bixia Wang
- The School of Nursing, Fujian Medical University, Fuzhou, China
- Quanzhou First Hospital Affiliated Fujian Medical University, Quanzhou, China
| | - Jinxiu Liu
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Xiuli Li
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Zhaoyi Hou
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Tingting Wu
- Fujian Provincial Governmental Hospital, Fuzhou, China
| | - Huizhen Cao
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Xinli Ji
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Ping Zhang
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Yuping Zhang
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Mianxiang Xue
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Linlin Qiu
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Linlin Wang
- The School of Nursing, Fujian Medical University, Fuzhou, China
| | - Yongbao Wei
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
- Department of Urology, Fujian Provincial Hospital, China
| | - Mingfeng Chen
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
- Department of Neurology, Fujian Provincial Hospital, China
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Zhang X, Fan H, Guo C, Li Y, Han X, Xu Y, Wang H, Zhang T. Establishment of a mild cognitive impairment risk model in middle-aged and older adults: a longitudinal study. Neurol Sci 2024:10.1007/s10072-024-07536-2. [PMID: 38642322 DOI: 10.1007/s10072-024-07536-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/15/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Early identification individuals at high risk of mild cognitive impairment (MCI) is essential for prevention and intervention strategies of dementia, such as Alzheimer's disease. MCI prediction considering the interdependence of predictors in longitudinal data needs to be further explored. We aimed to employ machine learning (ML) to develop and verify a prediction model of MCI. METHODS In a longitudinal population-based cohort of China Health and Retirement Longitudinal Study (CHARLS), 8390 non-MCI participants were enrolled. The diagnosis of MCI was based on the aging-associated cognitive decline (AACD), and 13 factors (gender, education, marital status, residence, diabetes, hypertension, depression, hearing impairment, social isolation, physical activity, drinking status, body mass index and expenditure) were finally selected as predictors. We implemented a long short-term memory (LSTM) to predict the MCI risks in middle-aged and older adults within 7 years. The Receiver Operating Characteristic curve (ROC) and calibration curve were used to evaluate the performance of the model. RESULTS Through 7 years of follow-up, 1925 participants developed MCI. The model for all incident MCI achieved an AUC of 0.774, and its deployment to the participants followed 2, 4, and 7 years achieved results of 0.739, 0.747, and 0.750, respectively. The model was well-calibrated with predicted probabilities plotted against the observed proportions of cognitive impairment. Education level, gender, marital status, and depression contributed most to the prediction of MCI. CONCLUSIONS This model could be widely applied to medical institutions, even in the community, to identify middle-aged and older adults at high risk of MCI.
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Affiliation(s)
- Xin Zhang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Hong Fan
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Chengnan Guo
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Yi Li
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Xinyu Han
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Yiyun Xu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Haili Wang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Fudan University, Shanghai, China.
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, 200032, China.
- Yiwu Research Institute, Fudan University, Yiwu, China.
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Soo SA, Kumar D, Leow YJ, Koh CL, Saffari SE, Kandiah N. Usefulness of the Visual Cognitive Assessment Test in Detecting Mild Cognitive Impairment in the Community. J Alzheimers Dis 2023; 93:755-763. [PMID: 37092224 DOI: 10.3233/jad-221301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
BACKGROUND A delay in the detection of mild cognitive impairment (MCI) in the community delays the opportunity for early intervention. Accurate tools to detect MCI in the community are lacking. The Visual Cognitive Assessment Test (VCAT) is a visual based cognitive test useful for multilingual populations without the need for translation. OBJECTIVE Here, we evaluate the usefulness of VCAT in detecting MCI in a community population in Singapore. METHODS We recruited 301 participants from the community who completed a detailed neuropsychological assessment and 170 of them completed a 3T magnetic resonance imaging (MRI) brain scan. We performed a receiver operating characteristics analysis to test the diagnostic performance of VCAT compared to Montreal Cognitive Assessment (MoCA) in distinguishing MCI from cognitively normal (CN) by measuring area under the curve (AUC). To test for the association of VCAT with structural MRI, we performed a Pearson's correlation analysis for VCAT and MRI variables. RESULTS We recruited 39 CN and 262 MCI participants from Dementia Research Centre (Singapore). Mean age of the cohort was 63.64, SD = 9.38, mean education years was 13.59, SD = 3.70 and majority were women (55.8%). VCAT was effective in detecting MCI from CN with an AUC of 0.794 (95% CI 0.723-0.865) which was slightly higher than MoCA 0.699 (95% CI 0.621-0.777). Among subjects with MCI, VCAT was associated with medial temporal lobe atrophy (ρ = -0.265, p = 0.001). CONCLUSIONS The VCAT is useful in detecting MCI in the community in Singapore and may be an effective measure of neurodegeneration.
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Affiliation(s)
- See Ann Soo
- Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine-Nanyang Technological University, Singapore
| | - Dilip Kumar
- Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine-Nanyang Technological University, Singapore
| | - Yi Jin Leow
- Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine-Nanyang Technological University, Singapore
| | - Chen Ling Koh
- Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine-Nanyang Technological University, Singapore
| | - Seyed Ehsan Saffari
- Center for Quantitative Medicine, Duke-NUS Medical School, National University of Singapore, Singapore
| | - Nagaendran Kandiah
- Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine-Nanyang Technological University, Singapore
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Zhang Q, Huang S, Cao Y, Dong G, Chen Y, Zhu X, Yun W, Zhang M. Remnant cholesterol and mild cognitive impairment: A cross-sectional study. Front Aging Neurosci 2023; 15:1069076. [PMID: 37009458 PMCID: PMC10057110 DOI: 10.3389/fnagi.2023.1069076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/23/2023] [Indexed: 03/17/2023] Open
Abstract
ObjectiveEmerging evidence suggests that elevated remnant cholesterol (RC) correlates with several health conditions. To explore the association of plasma RC with MCI incidence and the relationship between plasma RC and different domains of cognition in MCI patients.MethodsThirty-six MCI patients and 38 cognitively healthy controls (HC) were enrolled in the present cross-sectional study. Using total cholesterol (TC) minus high-density lipoprotein cholesterol (HDL-C) minus low-density lipoprotein cholesterol (LDL-C) as the formula for calculating fasting RC. Cognition was assessed using the Chinese version of the Montreal cognitive assessment (MoCA), Auditory Verbal Learning Test (AVLT), Digit Symbol Substitution Test (DSST), Trail Making Test (TMT), and Rey-Osterrieth Complex Figure Test (ROCF).ResultsCompared to healthy controls, MCI patients had a higher level of RC, the median difference in RC levels between these two groups was 8.13 mg/dl (95.0%CI: 0.97–16.1). Concurrently, plasma RC level was positively associated with MCI risk (OR = 1.05, 95%CI: 1.01–1.10). Notably, elevated RC level was correlated with impaired cognition in MCI patients, such as DSST (pr = −0.45, p = 0.008), ROCF- Long Delayed Recall (pr = −0.45, p = 0.008), AVLT-Immediate Recall (pr = −0.38, p = 0.028), and TMT-A (pr = 0.44, p = 0.009). Conversely, no significant correlation was found between RC and the AVLT-Long Delayed Recall test.ConclusionThis study found that plasma remnant cholesterol was associated with MCI. Further large longitudinal studies are needed in the future to confirm the results and clarify the cause-and-effect relationship.
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Affiliation(s)
- Qiaoyang Zhang
- Department of Psychology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Shan Huang
- Department of Neurology, General Hospital of Northern Theatre Command, Shenyang, China
| | - Yin Cao
- Department of Psychology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Guanzhong Dong
- Department of Psychology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Yun Chen
- Department of Neurology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Xuanyan Zhu
- Department of Neurology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Wenwei Yun
- Department of Neurology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
- Wenwei Yun,
| | - Min Zhang
- Department of Neurology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
- *Correspondence: Min Zhang,
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Ahn J, Kim M. Effects of aerobic exercise on global cognitive function and sleep in older adults with mild cognitive impairment: A systematic review and meta-analysis. Geriatr Nurs 2023; 51:9-16. [PMID: 36871328 DOI: 10.1016/j.gerinurse.2023.02.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 03/06/2023]
Abstract
We conducted a systematic review and meta-analysis to determine the integrated effect of aerobic exercise on cognitive function and sleep in older adults with mild cognitive impairment (MCI) and to optimize exercise methods for improving cognitive function. We searched multiple databases from January 1, 2011, to August 31, 2022, and analyzed 11 studies. Global cognitive function in older adults with MCI undergoing aerobic exercise training was significantly improved (standardized mean difference [SMD]=0.76, 95% confidence interval [CI]:0.37, 1.14), while sleep improvement was not significant (SMD= -2.07 [95% CI: -6.76, 2.62]). In the moderator analysis, aerobic exercise types with cognitive factors, exercise time of 30-50 min per session, and exercise frequency of 5-7 times per week had statistically significant effects on cognitive function improvement. However, meta-regression identified only exercise frequency as a significant moderator of the mean effect size of cognitive function.
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Affiliation(s)
- Juhyun Ahn
- College of Nursing, Songho University, Republic of Korea
| | - Myoungsuk Kim
- College of Nursing, Kangwon National University, Republic of Korea.
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Gupta D, Wilhalme H, Sauder G, Moin T. Cognitive screening among older adults with diabetes across diverse clinic settings. Diabetes Res Clin Pract 2023; 196:110184. [PMID: 36436551 DOI: 10.1016/j.diabres.2022.110184] [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: 09/23/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
AIMS Diabetes increases risk of cognitive dysfunction and dementia, which can make it harder to manage diabetes. We aimed to examine cognitive screening for older adults with diabetes in 1) endocrine (Endo), 2) geriatric (Geri) and 3) multidisciplinary endocrine-geriatric (Geri-Endo), to study differences between these settings and to elucidate risk factors of cognitive dysfunction. METHODS We performed cognitive screening for subsets of patients ≥ age 65 with diabetes in one large healthcare system. We compared results and differences from the three clinic types and used adjusted multivariate logistic regression models to predict risk of cognitive dysfunction. RESULTS Among 198 patients screened, those in Geri-Endo (N = 86) and Geri (N = 32) were more likely to have lower Mini-Cog scores, higher prevalence of hypertension and cardiovascular (CV) events. Endo and Geri-Endo patients had longer durations of diabetes, higher incidence of hypoglycemia, and were more likely to use insulin. Age > 75 years (p = 0.0105), previous CV events (p = 0.0006) and body mass index < 30 (p = 0.0115) were significantly associated with lower Mini-Cog scores. CONCLUSIONS Our study shows that cognitive screening can help identify at risk older adults with diabetes. Thus, yearly screening should be part of routine diabetes care.
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Affiliation(s)
- Deepashree Gupta
- Division of Endocrinology, Diabetes & Metabolism, David Geffen School of Medicine at University of California- Los Angeles (UCLA), United States.
| | - Holly Wilhalme
- Statistics Core, Department of Medicine, David Geffen School of Medicine at UCLA, United States
| | - Gabriela Sauder
- Community Practice Network, Department of Family Medicine at UCLA, United States
| | - Tannaz Moin
- Division of Endocrinology, Diabetes & Metabolism, David Geffen School of Medicine at University of California- Los Angeles (UCLA), United States; HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, United States
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Huang M, Gao X, Zhao R, Dong C, Gu Z, Gao J. Development and validation of a nomogram for predicting mild cognitive impairment in middle-aged and elderly people. Asian J Psychiatr 2022; 75:103224. [PMID: 35870309 DOI: 10.1016/j.ajp.2022.103224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/13/2022] [Accepted: 07/16/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is a clinical cognitive impairment state between dementia and normal aging. Early identification of MCI is beneficial, and it can delay the development of dementia. We aimed to develop and validate a prediction model to predict MCI of middle-aged and elderly people (aged 45 years and over). METHODS According to 478 middle-aged and elderly people (48-85 years old) from a cross-sectional study, we developed and validated a predictive nomogram. The least absolute shrinkage and selection operator (LASSO) regression model and multivariate logistic regression analysis were used to select variables and develop a prediction model. The performance of the nomogram was evaluated in terms of its discriminative power, calibration, and decision curve analysis (DCA). RESULTS The predictive nomogram was composed of the following: age, gender, education level, residence, and reading. The model showed good discrimination power (area under receiver-operating characteristic (ROC) curve was 0.8704) and good calibration. Similar results were seen in 10-fold cross-validation. The nomogram showed clinically useful in DCA analysis. CONCLUSION This predictive nomogram provides researchers with a practical tool for predicting MCI. The variables included in this nomogram were readily available. The population used for this nomogram was middle-aged and elderly people.
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Affiliation(s)
- Mengli Huang
- School of Public Health, Nantong University, Nantong 226001, China; Research Center of Gerontology and Longevity, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Xingxing Gao
- Nantong University Medical School, Nantong 226001, China
| | - Rui Zhao
- Research Center of Gerontology and Longevity, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Chen Dong
- Research Center of Gerontology and Longevity, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China; Nantong University Medical School, Nantong 226001, China
| | - Zhifeng Gu
- Research Center of Gerontology and Longevity, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Jianlin Gao
- School of Public Health, Nantong University, Nantong 226001, China; Research Center of Gerontology and Longevity, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China; Nantong University Medical School, Nantong 226001, China.
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Peritogiannis V, Roganaki A, Siarava E, Samakouri M. Mild Cognitive Impairment in Rural Areas: Research Advances and Implications for Clinical Practice and Healthcare Policy. Healthcare (Basel) 2022; 10:healthcare10071340. [PMID: 35885866 PMCID: PMC9323373 DOI: 10.3390/healthcare10071340] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/09/2022] [Accepted: 07/15/2022] [Indexed: 11/18/2022] Open
Abstract
Mild cognitive or neurocognitive impairment (MCI) may be more prevalent in rural areas. Differences between rural and urban MCI patients in terms of risk factors, course and prognosis are rarely reported. The present review aims to summarize the latest research on MCI in rural areas. A literature search was performed in the databases of PubMed, Scopus and ScienceDirect for articles published over the last decade. Eleven articles were included in this review, reporting on the differences between rural and urban MCI patients. Several risk factors, such as older age, lack of activities and food insecurity have been associated with MCI in both rural and urban areas, whereas others, such as obesity, adverse childhood experiences and plasma chemokine C-C motif ligand 11 (considered as a potential negative regulator of neurogenesis), differed according to the place of residence. No specific protective factor for rural women has been reported. There is some evidence that MCI may present earlier in rural residents, but that progression to dementia may be more rapid in urban residents. It seems that there may be clinically relevant differences in the onset, course and prognosis of MCI with regards to the place of residence (urban vs rural). Those differences should be taken into account for the design of health policies and service delivery across different settings.
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Affiliation(s)
- Vaios Peritogiannis
- Mobile Mental Health Unit of the Prefectures of Ioannina and Thesprotia, Society for the Promotion of Mental Health in Epirus, 54 Pashidi Str., 44445 Ioannina, Greece
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
- Correspondence: ; Tel.: +30-265-102-1227
| | - Aglaia Roganaki
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
- Mouzaki Health Center, 43060 Mouzaki, Greece
| | - Eleftheria Siarava
- Department of Neurology, University of Ioannina, 45500 Ioannina, Greece;
| | - Maria Samakouri
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
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Zhu Y, Gao Y, Guo C, Qi M, Xiao M, Wu H, Ma J, Zhong Q, Ding H, Zhou Q, Ali N, Zhou L, Zhang Q, Wu T, Wang W, Sun C, Thabane L, Zhang L, Wang T. Effect of 3-Month Aerobic Dance on Hippocampal Volume and Cognition in Elderly People With Amnestic Mild Cognitive Impairment: A Randomized Controlled Trial. Front Aging Neurosci 2022; 14:771413. [PMID: 35360212 PMCID: PMC8961023 DOI: 10.3389/fnagi.2022.771413] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/31/2022] [Indexed: 01/06/2023] Open
Abstract
As an intermediate state between normal aging and dementia, mild cognitive impairment (MCI), especially amnestic MCI (aMCI), is a key stage in the prevention and intervention of Alzheimer’s disease (AD). Whether dancing could increase the hippocampal volume of seniors with aMCI remains debatable. The aim of this study was to investigate the influence of aerobic dance on hippocampal volume and cognition after 3 months of aerobic dance in older adults with aMCI. In this randomized controlled trial, 68 elderly people with aMCI were randomized to either the aerobic dance group or the control group using a 1:1 allocation ratio. Ultimately, 62 of 68 participants completed this study, and the MRI data of 54 participants were included. A specially designed aerobic dance routine was performed by the dance group three times per week for 3 months, and all participants received monthly healthcare education after inclusion. MRI with a 3.0T MRI scanner and cognitive assessments were performed before and after intervention. High-resolution three-dimensional (3D) T1-weighted anatomical images were acquired for the analysis of hippocampal volume. A total of 35 participants (mean age: 71.51 ± 6.62 years) were randomized into the aerobic dance group and 33 participants (mean age: 69.82 ± 7.74 years) into the control group. A multiple linear regression model was used to detect the association between intervention and the difference of hippocampal volumes as well as the change of cognitive scores at baseline and after 3 months. The intervention group showed greater right hippocampal volume (β [95% CI]: 0.379 [0.117, 0.488], p = 0.002) and total hippocampal volume (β [95% CI]: 0.344 [0.082, 0.446], p = 0.005) compared to the control group. No significant association of age or gender was found with unilateral or global hippocampal volume. There was a correlation between episodic memory and intervention, as the intervention group showed a higher Wechsler Memory Scale-Revised Logical Memory (WMS-RLM) score (β [95% CI]: 0.326 [1.005, 6.773], p = 0.009). Furthermore, an increase in age may cause a decrease in the Mini-Mental State Examination (MMSE) score (β [95% CI]: −0.366 [−0.151, −0.034], p = 0.002). In conclusion, 3 months of aerobic dance could increase the right and total hippocampal volumes and improve episodic memory in elderly persons with aMCI. Clinical Trial Registration: This study was registered on the Chinese Clinical Trial Registry [www.chictr.org.cn], identifier [ChiCTR-INR-15007420].
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Affiliation(s)
- Yi Zhu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yaxin Gao
- Rehabilitation Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Chuan Guo
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ming Qi
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ming Xiao
- Jiangsu Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, China
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Han Wu
- Rehabilitation Department, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jinhui Ma
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Qian Zhong
- Rehabilitation Department, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Hongyuan Ding
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiumin Zhou
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Nawab Ali
- First School of Clinical Medicine, Nanjing Medical University, Nanjing, China
- Swat Institute of Rehabilitation and Medical Sciences, Swat, Pakistan
| | - Li Zhou
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qin Zhang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Wu
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Cuiyun Sun
- Rehabilitation Department, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Biostatistics Unit, St Joseph’s Healthcare, Hamilton, ON, Canada
| | - Ling Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Ling Zhang,
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Tong Wang,
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Casagrande M, Marselli G, Agostini F, Forte G, Favieri F, Guarino A. The complex burden of determining prevalence rates of mild cognitive impairment: A systematic review. Front Psychiatry 2022; 13:960648. [PMID: 36213927 PMCID: PMC9537698 DOI: 10.3389/fpsyt.2022.960648] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/18/2022] [Indexed: 11/24/2022] Open
Abstract
Mild cognitive impairment (MCI) is a syndrome characterized by a decline in cognitive performance greater than expected for an individual's age and education level, but that does not interfere much with daily life activities. Establishing the prevalence of MCI is very important for both clinical and research fields. In fact, in a certain percentage of cases, MCI represents a prodromal condition for the development of dementia. Accordingly, it is important to identify the characteristics of MCI that allow us to predict the development of dementia. Also, initial detection of cognitive decline can allow the early implementation of prevention programs aimed at counteracting or slowing it down. To this end, it is important to have a clear picture of the prevalence of MCI and, consequently, of the diagnostic criteria used. According to these issues, this systematic review aims to analyze MCI prevalence, exploring the methods for diagnosing MCI that determine its prevalence. The review process was conducted according to the PRISMA statement. Three thousand one hundred twenty-one international articles were screened, and sixty-six were retained. In these studies, which involved 157,035 subjects, the prevalence of MCI ranged from 1.2 to 87%. The review results showed a large heterogeneity among studies due to differences in the subjects' recruitment, the diagnostic criteria, the assessed cognitive domains, and other methodological aspects that account for a higher range of MCI prevalence. This large heterogeneity prevents drawing any firm conclusion about the prevalence of MCI.
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Affiliation(s)
- Maria Casagrande
- Department of Dynamic and Clinical Psychology and Health Studies, "Sapienza" University of Rome, Rome, Italy
| | - Giulia Marselli
- Department of Psychology, "Sapienza" University of Rome, Rome, Italy
| | | | - Giuseppe Forte
- Department of Dynamic and Clinical Psychology and Health Studies, "Sapienza" University of Rome, Rome, Italy.,Body and Action Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Francesca Favieri
- Department of Psychology, "Sapienza" University of Rome, Rome, Italy.,Body and Action Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Angela Guarino
- Department of Psychology, "Sapienza" University of Rome, Rome, Italy
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