Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China
This study aimed to evaluate the prevalence of cognitive impairment and the distribution of its risk factors among residents aged ≥60 years without cardiovascular and cerebrovascular diseases in rural areas of northern China screened with the Chinese version of the Mini-Mental State Examination (MMS...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-03-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fnagi.2018.00062/full |
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| author | Li Ren Li Ren Lingling Bai Lingling Bai Lingling Bai Lingling Bai Yanan Wu Yanan Wu Yanan Wu Jingxian Ni Jingxian Ni Jingxian Ni Min Shi Min Shi Min Shi Hongyan Lu Hongyan Lu Jun Tu Jun Tu Jun Tu Xianjia Ning Xianjia Ning Xianjia Ning Xianjia Ning Ping Lei Jinghua Wang Jinghua Wang Jinghua Wang Jinghua Wang |
| author_facet | Li Ren Li Ren Lingling Bai Lingling Bai Lingling Bai Lingling Bai Yanan Wu Yanan Wu Yanan Wu Jingxian Ni Jingxian Ni Jingxian Ni Min Shi Min Shi Min Shi Hongyan Lu Hongyan Lu Jun Tu Jun Tu Jun Tu Xianjia Ning Xianjia Ning Xianjia Ning Xianjia Ning Ping Lei Jinghua Wang Jinghua Wang Jinghua Wang Jinghua Wang |
| author_sort | Li Ren |
| collection | DOAJ |
| description | This study aimed to evaluate the prevalence of cognitive impairment and the distribution of its risk factors among residents aged ≥60 years without cardiovascular and cerebrovascular diseases in rural areas of northern China screened with the Chinese version of the Mini-Mental State Examination (MMSE). Between 2012 and 2013, a questionnaire survey was conducted to collect basic information from participants. Cognitive function was assessed using the MMSE. In the univariate analysis, risk factors for cognitive disorders were female sex, low education and central obesity, while drinking was found to be a protective factor. In the multivariate analysis, risk factors were old age (odds ratio [OR], 1.888; 95% confidence interval [CI]: 1.256–2.838; P = 0.002 for the 70-year-old group compared with the 60-year-old group; OR, 3.593; 95% CI, 2.468–5.230; P < 0.001 for the ≥75-year-old group compared with the 60-year-old group), low education (OR, 3.779; 95% CI: 2.218–6.440; P < 0.001 for the illiterate group compared with the group with ≥9 years of education; OR, 1.667; 95% CI, 1.001–2.775; P = 0.05 for the group with less than primary school compared with the group with ≥9 years of education), and higher blood pressure (BP; OR, 1.655; 95% CI: 1.076–2.544; P = 0.002 for individuals with stage III hypertension compared with those with normal BP). These findings suggest that it is crucial to manage and control level of BP, and improve educational attainment in order to reduce the prevalence and burden of cognitive impairment among low-income residents in rural China. |
| first_indexed | 2024-04-13T19:15:58Z |
| format | Article |
| id | doaj.art-c515aa8a169f40ffbd608282540e6e8a |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-13T19:15:58Z |
| publishDate | 2018-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-c515aa8a169f40ffbd608282540e6e8a2022-12-22T02:33:41ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652018-03-011010.3389/fnagi.2018.00062281639Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural ChinaLi Ren0Li Ren1Lingling Bai2Lingling Bai3Lingling Bai4Lingling Bai5Yanan Wu6Yanan Wu7Yanan Wu8Jingxian Ni9Jingxian Ni10Jingxian Ni11Min Shi12Min Shi13Min Shi14Hongyan Lu15Hongyan Lu16Jun Tu17Jun Tu18Jun Tu19Xianjia Ning20Xianjia Ning21Xianjia Ning22Xianjia Ning23Ping Lei24Jinghua Wang25Jinghua Wang26Jinghua Wang27Jinghua Wang28Department of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaDepartment of Neurology, Liaocheng People’s Hospital, Liaocheng, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaCenter of Clinical Epidemiology, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Geriatrics, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, ChinaDepartment of Epidemiology, Tianjin Neurological Institute, Tianjin, ChinaCenter of Clinical Epidemiology, Tianjin Medical University General Hospital, Tianjin, ChinaThis study aimed to evaluate the prevalence of cognitive impairment and the distribution of its risk factors among residents aged ≥60 years without cardiovascular and cerebrovascular diseases in rural areas of northern China screened with the Chinese version of the Mini-Mental State Examination (MMSE). Between 2012 and 2013, a questionnaire survey was conducted to collect basic information from participants. Cognitive function was assessed using the MMSE. In the univariate analysis, risk factors for cognitive disorders were female sex, low education and central obesity, while drinking was found to be a protective factor. In the multivariate analysis, risk factors were old age (odds ratio [OR], 1.888; 95% confidence interval [CI]: 1.256–2.838; P = 0.002 for the 70-year-old group compared with the 60-year-old group; OR, 3.593; 95% CI, 2.468–5.230; P < 0.001 for the ≥75-year-old group compared with the 60-year-old group), low education (OR, 3.779; 95% CI: 2.218–6.440; P < 0.001 for the illiterate group compared with the group with ≥9 years of education; OR, 1.667; 95% CI, 1.001–2.775; P = 0.05 for the group with less than primary school compared with the group with ≥9 years of education), and higher blood pressure (BP; OR, 1.655; 95% CI: 1.076–2.544; P = 0.002 for individuals with stage III hypertension compared with those with normal BP). These findings suggest that it is crucial to manage and control level of BP, and improve educational attainment in order to reduce the prevalence and burden of cognitive impairment among low-income residents in rural China.http://journal.frontiersin.org/article/10.3389/fnagi.2018.00062/fullcognitive impairmentprevalencerisk factorselderlyepidemiology |
| spellingShingle | Li Ren Li Ren Lingling Bai Lingling Bai Lingling Bai Lingling Bai Yanan Wu Yanan Wu Yanan Wu Jingxian Ni Jingxian Ni Jingxian Ni Min Shi Min Shi Min Shi Hongyan Lu Hongyan Lu Jun Tu Jun Tu Jun Tu Xianjia Ning Xianjia Ning Xianjia Ning Xianjia Ning Ping Lei Jinghua Wang Jinghua Wang Jinghua Wang Jinghua Wang Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China Frontiers in Aging Neuroscience cognitive impairment prevalence risk factors elderly epidemiology |
| title | Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China |
| title_full | Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China |
| title_fullStr | Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China |
| title_full_unstemmed | Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China |
| title_short | Prevalence of and Risk Factors for Cognitive Impairment Among Elderly Without Cardio- and Cerebrovascular Diseases: A Population-Based Study in Rural China |
| title_sort | prevalence of and risk factors for cognitive impairment among elderly without cardio and cerebrovascular diseases a population based study in rural china |
| topic | cognitive impairment prevalence risk factors elderly epidemiology |
| url | http://journal.frontiersin.org/article/10.3389/fnagi.2018.00062/full |
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