Association between cognitive impairment and main metals among oldest old aged 80 years and over in China
Objective: To identify the main metals involved in cognitive impairment in the Chinese oldest old, and explore the association between these metal exposures and cognitive impairment. Methods: A cross-sectional study was conducted on 1 568 participants aged 80 years and older from Healthy Aging and Biomarkers Cohort Study (2017 to 2018). Fasting venous blood was collected to measure the levels of nine metals (selenium, lead, cadmium, arsenic, antimony, chromium, manganese, mercury, and nickel). The cognitive function of these participants was evaluated by using the Chinese version of the Mini-Mental State Examination (CMMSE). The random forest (RF) was applied to independently identify the main metals that affected cognitive impairment. The multivariate logistic regression model and restricted cubic splines (RCS) model were used to further verify the association of the main metals with cognitive impairment. Results: The age of 1 568 study subjects was (91.8±7.6) years old, including 912 females (58.2%) and 465 individuals (29.7%) with cognitive function impairment. Based on the RF model (the out-of-bag error rate was 22.9%), the importance ranking of variables was conducted and the feature screening of five times ten-fold cross-validation was carried out. It was found that selenium was the metal that affected cognitive function impairment, and the other eight metals were not included in the model. After adjusting for covariates, the multivariate logistic regression model showed that with every increase of 10 μg/L of blood selenium levels, the risk of cognitive impairment decreased (OR=0.921, 95%CI: 0.889-0.954). Compared with the lowest quartile(Q1) of blood selenium, the ORs (95%CI) of Q3 and Q4 blood selenium were 0.452 (0.304-0.669) and 0.419 (0.281-0.622) respectively. The RCS showed a linear dose-response relationship between blood selenium and cognitive impairment (Pnonlinear>0.05). Conclusion: Blood selenium is negatively associated with cognitive impairment in the Chinese oldest old.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:57 |
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| Enthalten in: |
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine - 57(2023), 6 vom: 06. Juni, Seite 849-856 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Qiu, Y D [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 27.06.2023 Date Revised 27.06.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.3760/cma.j.cn112150-20230215-00111 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM35858566X |
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| 520 | |a Objective: To identify the main metals involved in cognitive impairment in the Chinese oldest old, and explore the association between these metal exposures and cognitive impairment. Methods: A cross-sectional study was conducted on 1 568 participants aged 80 years and older from Healthy Aging and Biomarkers Cohort Study (2017 to 2018). Fasting venous blood was collected to measure the levels of nine metals (selenium, lead, cadmium, arsenic, antimony, chromium, manganese, mercury, and nickel). The cognitive function of these participants was evaluated by using the Chinese version of the Mini-Mental State Examination (CMMSE). The random forest (RF) was applied to independently identify the main metals that affected cognitive impairment. The multivariate logistic regression model and restricted cubic splines (RCS) model were used to further verify the association of the main metals with cognitive impairment. Results: The age of 1 568 study subjects was (91.8±7.6) years old, including 912 females (58.2%) and 465 individuals (29.7%) with cognitive function impairment. Based on the RF model (the out-of-bag error rate was 22.9%), the importance ranking of variables was conducted and the feature screening of five times ten-fold cross-validation was carried out. It was found that selenium was the metal that affected cognitive function impairment, and the other eight metals were not included in the model. After adjusting for covariates, the multivariate logistic regression model showed that with every increase of 10 μg/L of blood selenium levels, the risk of cognitive impairment decreased (OR=0.921, 95%CI: 0.889-0.954). Compared with the lowest quartile(Q1) of blood selenium, the ORs (95%CI) of Q3 and Q4 blood selenium were 0.452 (0.304-0.669) and 0.419 (0.281-0.622) respectively. The RCS showed a linear dose-response relationship between blood selenium and cognitive impairment (Pnonlinear>0.05). Conclusion: Blood selenium is negatively associated with cognitive impairment in the Chinese oldest old | ||
| 650 | 4 | |a English Abstract | |
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a Selenium |2 NLM | |
| 650 | 7 | |a H6241UJ22B |2 NLM | |
| 650 | 7 | |a Metals |2 NLM | |
| 700 | 1 | |a Guo, Y B |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Z W |e verfasserin |4 aut | |
| 700 | 1 | |a Ji, S S |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, J H |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, B |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, C |e verfasserin |4 aut | |
| 700 | 1 | |a Wei, Y |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, C |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, J |e verfasserin |4 aut | |
| 700 | 1 | |a Zheng, X L |e verfasserin |4 aut | |
| 700 | 1 | |a Zhong, Z C |e verfasserin |4 aut | |
| 700 | 1 | |a Ye, L L |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, G D |e verfasserin |4 aut | |
| 700 | 1 | |a Lyu, Y B |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, X M |e verfasserin |4 aut | |
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