Objective This study aims to re-evaluate systematic reviews on factors associated with mild cognitive impairment (MCI) in community-dwelling elderly individuals to inform prevention and intervention strategies in community settings. Methods Comprehensive searches were conducted across multiple databases, including CNKI, Wanfang Data, VIP Journal Integration Platform, PubMed, Scopus, Web of Science, and Cochrane Library, to identify systematic reviews on factors contributing to MCI in community-dwelling elderly individuals. Dual reviewers screened the literature, and the methodological quality was assessed using A Measurement Tool to Assess Systematic Reviews (AMSTAR 2). Relevant factors were summarized and analyzed. Results Eleven systematic reviews were included in the analysis. Of these, two were classified as high quality, two as low quality, and the remaining seven as very low quality. Protective factors against MCI included the consumption of tea, fish, and shellfish, physical exercise, and social participation. Risk factors encompassed a history of chronic diseases, depression, sleep disorders, smoking, and alcohol consumption. Conclusion The methodological quality of systematic reviews on factors associated with MCI in community-dwelling elderly individuals is generally low. MCI is closely linked to various aspects of physiological health, psychological health, dietary nutrition, and lifestyle behaviors. It is crucial to focus on high-risk groups, particularly the elderly and females, as well as individuals experiencing subjective cognitive decline, and conduct psychological screenings and assessments of dietary quality. These factors may serve as early indicators for MCI in community-dwelling elderly individuals.
| Published in | World Journal of Public Health (Volume 9, Issue 3) |
| DOI | 10.11648/j.wjph.20240903.11 |
| Page(s) | 234-242 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Community-Dwelling, Elderly, Mild Cognitive Impairment, Systematic Review, MCI
| [1] | Yuan ZJ, Guo LY, Zhang Y, et al. A systematic review of the prevalence and influencing factors of mild cognitive impairment in Chinese elderly population [J]. Journal of Jining Medical University 2022; 45(3): 183-8. |
| [2] | Ismail Z, Elbayoumi H, Fischer CE, et al. Prevalence of Depression in Patients With Mild Cognitive Impairment: A Systematic Review and Meta-analysis [J]. JAMA Psychiatry 2017; 74(1): 58-67. |
| [3] | Chen C, Hu Z, Jiang Z, et al. Prevalence of anxiety in patients with mild cognitive impairment: A systematic review and meta-analysis. J Affect Disord 2018; 236: 211-21. |
| [4] | Alexander M, Perera G, Ford L, et al. Age-Stratified Prevalence of Mild Cognitive Impairment and Dementia in European Populations: A Systematic Review [J]. Journal of Alzheimers Disease 2015; 48(2): 355-9. |
| [5] | Ribeiro FS, Teixeira-Santos AC, Leist AK. The prevalence of mild cognitive impairment in Latin America and the Caribbean: a systematic review and meta-analysis [J]. Aging & Mental Health 2022; 26(9): 1710-20. |
| [6] | Yao S, Liu Y, Zheng X, et al. Do nonpharmacological interventions prevent cognitive decline? a systematic review and meta-analysis [J]. Translational Psychiatry 2020; 10(1). |
| [7] | Costello MM, McCarthy CE, Judge C, et al. Household-level lifestyle interventions for the prevention of cognitive decline; A Systematic review [J]. Archives of Gerontology and Geriatrics 2022; 98. |
| [8] | Shea BJ, Reeves BC, Wells G, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both [J]. BMJ 2017; 358: j4008. |
| [9] | Swierz MJ, Storman D, Zajac J, et al. Similarities, reliability and gaps in assessing the quality of conduct of systematic reviews using AMSTAR-2 and ROBIS: systematic survey of nutrition reviews [J]. BMC Med Res Methodol 2021; 21(1): 261. |
| [10] | Lau K, Dimitriadis PA, Mitchell C, et al. Age-related hearing loss and mild cognitive impairment: a meta-analysis and systematic review of population-based studies [J]. Journal of Laryngology and Otology 2022; 136(2): 103-18. |
| [11] | Lao Y, Hou L, Li J, et al. Association between alcohol intake, mild cognitive impairment and progression to dementia: a dose-response meta-analysis [J]. Aging Clinical and Experimental Research 2021; 33(5): 1175-85. |
| [12] | Cao GY, Li M, Han L, et al. Dietary Fat Intake and Cognitive Function among Older Populations: A Systematic Review and Meta-Analysis [J]. Jpad-Journal of Prevention of Alzheimers Disease 2019; 6(3): 204-11. |
| [13] | Ma Q-P, Huang C, Cui Q-Y, et al. Meta-Analysis of the Association between Tea Intake and the Risk of Cognitive Disorders [J]. Plos One 2016; 11(11). |
| [14] | Hu M, Shu X, Wu X, et al. Neuropsychiatric symptoms as prognostic makers for the elderly with mild cognitive impairment: a meta-analysis [J]. Journal of Affective Disorders 2020; 271: 185-92. |
| [15] | Zhu X, Zhao Y. Sleep-disordered breathing and the risk of cognitive decline: a meta-analysis of 19,940 participants [J]. Sleep and Breathing 2018; 22(1): 165-73. |
| [16] | Zhang YF, Zhang HX, Yang JC, et al. Influencing factors of mild cognitive impairment among the Chinese elderly: a meta-analysis [J]. National Medical Journal of China 2023, 103(17): 1340-1348. |
| [17] | Pei JY, Wu HX, Gong QQ, et al. Risk factors of mild cognitive impairment in Chinese elderly population: a systematic review and meta-analysis [J]. Modern Preventive Medicine 2021; 48(12): 2249-54. |
| [18] | Yuan LL, Fu R, Li JW, et al. Influencing factors of mild cognitive impairment among the community-based elderly population: a meta-analysis [J]. Modern Preventive Medicine 2019; 46(22): 4099-104. |
| [19] | Shang QQ, Teng WJ, Li WJ, et al. The relationship between dietary habits and the risk of mild cognitive impairment in the elderly: a meta-analysis [J]. Modern Preventive Medicine 2022; 49(3): 426-30, 40. |
| [20] | Pike KE, Cavuoto MG, Li L, et al. Subjective Cognitive Decline: Level of Risk for Future Dementia and Mild Cognitive Impairment, a Meta-Analysis of Longitudinal Studies [J]. Neuropsychology Review 2022; 32(4): 703-35. |
| [21] | Liu Y, Yu X, Han P, et al. Gender-specific prevalence and risk factors of mild cognitive impairment among older adults in Chongming, Shanghai, China [J]. Front Aging Neurosci 2022; 14: 900523. |
| [22] | Antal B, McMahon LP, Sultan SF, et al. Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses [J]. Elife 2022; 11. |
| [23] | Huang C-Q, Wang Z-R, Li Y-H, et al. Cognitive function and risk for depression in old age: a meta-analysis of published literature [J]. International Psychogeriatrics 2011; 23(4): 516-25. |
| [24] | Zhang Y, Chen J, Qiu J, et al. Intakes of fish and polyunsaturated fatty acids and mild-to-severe cognitive impairment risks: a dose-response meta-analysis of 21 cohort studies [J]. Am J Clin Nutr 2016; 103(2): 330-40. |
| [25] | Smith L, Lopez Sanchez GF, Veronese N, et al. Association of Fruit and Vegetable Consumption With Mild Cognitive Impairment in Low- and Middle-Income Countries [J]. J Gerontol A Biol Sci Med Sci 2023; 78(8): 1410-6. |
APA Style
Cao, Y., Wang, J., Xue, J., Ding, H. (2024). Factors Associated with Mild Cognitive Impairment in Community-Dwelling Elderly Individuals: A Re-evaluation of Systematic Reviews. World Journal of Public Health, 9(3), 234-242. https://doi.org/10.11648/j.wjph.20240903.11
ACS Style
Cao, Y.; Wang, J.; Xue, J.; Ding, H. Factors Associated with Mild Cognitive Impairment in Community-Dwelling Elderly Individuals: A Re-evaluation of Systematic Reviews. World J. Public Health 2024, 9(3), 234-242. doi: 10.11648/j.wjph.20240903.11
AMA Style
Cao Y, Wang J, Xue J, Ding H. Factors Associated with Mild Cognitive Impairment in Community-Dwelling Elderly Individuals: A Re-evaluation of Systematic Reviews. World J Public Health. 2024;9(3):234-242. doi: 10.11648/j.wjph.20240903.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.wjph.20240903.11,
author = {Yifan Cao and Jin Wang and Jia Xue and Hansheng Ding},
title = {Factors Associated with Mild Cognitive Impairment in Community-Dwelling Elderly Individuals: A Re-evaluation of Systematic Reviews
},
journal = {World Journal of Public Health},
volume = {9},
number = {3},
pages = {234-242},
doi = {10.11648/j.wjph.20240903.11},
url = {https://doi.org/10.11648/j.wjph.20240903.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20240903.11},
abstract = {Objective This study aims to re-evaluate systematic reviews on factors associated with mild cognitive impairment (MCI) in community-dwelling elderly individuals to inform prevention and intervention strategies in community settings. Methods Comprehensive searches were conducted across multiple databases, including CNKI, Wanfang Data, VIP Journal Integration Platform, PubMed, Scopus, Web of Science, and Cochrane Library, to identify systematic reviews on factors contributing to MCI in community-dwelling elderly individuals. Dual reviewers screened the literature, and the methodological quality was assessed using A Measurement Tool to Assess Systematic Reviews (AMSTAR 2). Relevant factors were summarized and analyzed. Results Eleven systematic reviews were included in the analysis. Of these, two were classified as high quality, two as low quality, and the remaining seven as very low quality. Protective factors against MCI included the consumption of tea, fish, and shellfish, physical exercise, and social participation. Risk factors encompassed a history of chronic diseases, depression, sleep disorders, smoking, and alcohol consumption. Conclusion The methodological quality of systematic reviews on factors associated with MCI in community-dwelling elderly individuals is generally low. MCI is closely linked to various aspects of physiological health, psychological health, dietary nutrition, and lifestyle behaviors. It is crucial to focus on high-risk groups, particularly the elderly and females, as well as individuals experiencing subjective cognitive decline, and conduct psychological screenings and assessments of dietary quality. These factors may serve as early indicators for MCI in community-dwelling elderly individuals.
},
year = {2024}
}
TY - JOUR T1 - Factors Associated with Mild Cognitive Impairment in Community-Dwelling Elderly Individuals: A Re-evaluation of Systematic Reviews AU - Yifan Cao AU - Jin Wang AU - Jia Xue AU - Hansheng Ding Y1 - 2024/07/08 PY - 2024 N1 - https://doi.org/10.11648/j.wjph.20240903.11 DO - 10.11648/j.wjph.20240903.11 T2 - World Journal of Public Health JF - World Journal of Public Health JO - World Journal of Public Health SP - 234 EP - 242 PB - Science Publishing Group SN - 2637-6059 UR - https://doi.org/10.11648/j.wjph.20240903.11 AB - Objective This study aims to re-evaluate systematic reviews on factors associated with mild cognitive impairment (MCI) in community-dwelling elderly individuals to inform prevention and intervention strategies in community settings. Methods Comprehensive searches were conducted across multiple databases, including CNKI, Wanfang Data, VIP Journal Integration Platform, PubMed, Scopus, Web of Science, and Cochrane Library, to identify systematic reviews on factors contributing to MCI in community-dwelling elderly individuals. Dual reviewers screened the literature, and the methodological quality was assessed using A Measurement Tool to Assess Systematic Reviews (AMSTAR 2). Relevant factors were summarized and analyzed. Results Eleven systematic reviews were included in the analysis. Of these, two were classified as high quality, two as low quality, and the remaining seven as very low quality. Protective factors against MCI included the consumption of tea, fish, and shellfish, physical exercise, and social participation. Risk factors encompassed a history of chronic diseases, depression, sleep disorders, smoking, and alcohol consumption. Conclusion The methodological quality of systematic reviews on factors associated with MCI in community-dwelling elderly individuals is generally low. MCI is closely linked to various aspects of physiological health, psychological health, dietary nutrition, and lifestyle behaviors. It is crucial to focus on high-risk groups, particularly the elderly and females, as well as individuals experiencing subjective cognitive decline, and conduct psychological screenings and assessments of dietary quality. These factors may serve as early indicators for MCI in community-dwelling elderly individuals. VL - 9 IS - 3 ER -
Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China
Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China
Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China
Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China
