A prediction model of cognitive impairment risk in elderly illiterate Chinese women
ObjectiveTo establish and validate a targeted model for the prediction of cognitive impairment in elderly illiterate Chinese women.Methods1864 participants in the 2011–2014 cohort and 1,060 participants in the 2014–2018 cohort from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were inclu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1148071/full |
| _version_ | 1797839023260041216 |
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| author | Zhaojing Chen Jiaolan Du Qin Song Jun Yang Yinyin Wu |
| author_facet | Zhaojing Chen Jiaolan Du Qin Song Jun Yang Yinyin Wu |
| author_sort | Zhaojing Chen |
| collection | DOAJ |
| description | ObjectiveTo establish and validate a targeted model for the prediction of cognitive impairment in elderly illiterate Chinese women.Methods1864 participants in the 2011–2014 cohort and 1,060 participants in the 2014–2018 cohort from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this study. The Chinese version of the Mini-Mental State Examination (MMSE) was used to measure cognitive function. Demographics and lifestyle information were collected to construct a risk prediction model by a restricted cubic spline Cox regression. The discrimination and accuracy of the model were assessed by the area under the curve (AUC) and the concordance index, respectively.ResultsA total of seven critical variables were included in the final prediction model for cognitive impairment risk, including age, MMSE score, waist-to-height ratio (WHtR), psychological score, activities of daily living (ADL), instrumental abilities of daily living (IADL), and frequency of tooth brushing. The internal and external validation AUCs were 0.8 and 0.74, respectively; and the receiver operating characteristic (ROC) curves indicated good performance ability of the constructed model.ConclusionA feasible model to explore the factors influencing cognitive impairment in elderly illiterate women in China and to identify the elders at high risk was successfully constructed. |
| first_indexed | 2024-04-09T15:50:23Z |
| format | Article |
| id | doaj.art-08630ac7ad414b6e9374786af3ccbd6f |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-09T15:50:23Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-08630ac7ad414b6e9374786af3ccbd6f2023-04-26T06:22:56ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-04-011510.3389/fnagi.2023.11480711148071A prediction model of cognitive impairment risk in elderly illiterate Chinese womenZhaojing Chen0Jiaolan Du1Qin Song2Jun Yang3Yinyin Wu4Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou, ChinaDepartment of Occupational and Environmental Health, School of Public Health, Hangzhou Normal University, Hangzhou, ChinaDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou, ChinaObjectiveTo establish and validate a targeted model for the prediction of cognitive impairment in elderly illiterate Chinese women.Methods1864 participants in the 2011–2014 cohort and 1,060 participants in the 2014–2018 cohort from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this study. The Chinese version of the Mini-Mental State Examination (MMSE) was used to measure cognitive function. Demographics and lifestyle information were collected to construct a risk prediction model by a restricted cubic spline Cox regression. The discrimination and accuracy of the model were assessed by the area under the curve (AUC) and the concordance index, respectively.ResultsA total of seven critical variables were included in the final prediction model for cognitive impairment risk, including age, MMSE score, waist-to-height ratio (WHtR), psychological score, activities of daily living (ADL), instrumental abilities of daily living (IADL), and frequency of tooth brushing. The internal and external validation AUCs were 0.8 and 0.74, respectively; and the receiver operating characteristic (ROC) curves indicated good performance ability of the constructed model.ConclusionA feasible model to explore the factors influencing cognitive impairment in elderly illiterate women in China and to identify the elders at high risk was successfully constructed.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1148071/fullcognitive impairmentrisk factorsprediction modelelderlyilliteratenomogram |
| spellingShingle | Zhaojing Chen Jiaolan Du Qin Song Jun Yang Yinyin Wu A prediction model of cognitive impairment risk in elderly illiterate Chinese women Frontiers in Aging Neuroscience cognitive impairment risk factors prediction model elderly illiterate nomogram |
| title | A prediction model of cognitive impairment risk in elderly illiterate Chinese women |
| title_full | A prediction model of cognitive impairment risk in elderly illiterate Chinese women |
| title_fullStr | A prediction model of cognitive impairment risk in elderly illiterate Chinese women |
| title_full_unstemmed | A prediction model of cognitive impairment risk in elderly illiterate Chinese women |
| title_short | A prediction model of cognitive impairment risk in elderly illiterate Chinese women |
| title_sort | prediction model of cognitive impairment risk in elderly illiterate chinese women |
| topic | cognitive impairment risk factors prediction model elderly illiterate nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1148071/full |
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