| Autor: |
Peiyi Liu, Jiahui Wang, Pengcheng Mei, Junyu Li, Benhong Xu, Xiaohu Ren, Xiao Chen, Desheng Wu, Feiqi Zhu, Xifei Yang, Meian He, Jianjun Liu, Haiyan Huang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
The Journal of Nutrition, Health and Aging, Vol 28, Iss 7, Pp 100284- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1760-4788 |
| DOI: |
10.1016/j.jnha.2024.100284 |
| Popis: |
Background: As the important factors in cognitive function, dietary habits and metal exposures are interactive with each other. However, fewer studies have investigated the interaction effect of them on cognitive dysfunction in older adults. Methods: 2,445 registered citizens aged 60–85 years from 51 community health centers in Luohu District, Shenzhen, were recruited in this study based on the Chinese older adult cohort. All subjects underwent physical examination and Mini-cognitive assessment scale. A semi quantitative food frequency questionnaire was used to obtain their food intake frequency, and 21 metal concentrations in their urine were measured. Results: Elastic-net regression model, a machine learning technique, identified six variables that were significantly associated with cognitive dysfunction in older adults. These variables included education level, gender, urinary concentration of arsenic (As) and cadmium (Cd), and the frequency of monthly intake of egg and bean products. After adjusting for multiple factors, As and Cd concentrations were positively associated with increased risk of mild cognitive impairment (MCI) in the older people, with OR values of 1.19 (95% CI: 1.05–1.42) and 1.32 (95% CI: 1.01–1.74), respectively. In addition, older adults with high frequency of egg intake (≥30 times/month) and bean products intake (≥8 times/month) had a reduced risk of MCI than those with low protein egg intake ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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