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Xu X, Mo C, Qin J, Cai J, Liu Q, Tang X, Zhang H, Zhang Z. Association between Copper Exposure and Cognitive Function: A Cross-Sectional Study in a County, Guangxi, China. Biol Trace Elem Res 2025; 203:2310-2319. [PMID: 38965167 DOI: 10.1007/s12011-024-04296-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/28/2024] [Indexed: 07/06/2024]
Abstract
There has been growing attention to the impact of copper exposure on cognitive function; however, current research on the specific information regarding urinary copper and cognitive function is limited, particularly detailed analyses in the Chinese adult population. This study aimed to explore the association between copper exposure and cognitive function in a cross-sectional design. A total of 2617 participants in a county, Guangxi Zhuang Autonomous Region (Guangxi), China, were included. The mini-mental state examination (MMSE) was used to assess cognitive function, and inductively coupled plasma mass spectrometry was used to measure urinary metal levels. Spearman's rank correlation was used to analyze the correlation between urinary copper levels and various cognitive function assessment indices. After adjusting for potential confounders, binary logistic regression was used to explore the association between urinary copper levels and the risk of cognitive impairment (CI) as revealed by MMSE, and restricted cubic spline regression was further used to explore the dose-response relationship. The results showed a negative correlation between urinary copper levels and orientation, attention and calculation, memory, language ability, and MMSE total scores (P < 0.05). Compared with the low copper exposure group, the high exposure group showed a 58.5% increased risk of CI (OR = 1.585, 95%CI: 1.125 to 2.235, P = 0.008). A significant linear dose-response relationship was observed between urinary copper levels and the risk of CI (P overall = 0.045, P nonlinearity = 0.081). Our findings suggest that higher copper exposure may be associated with CI in the population of a county, Guangxi, China.
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Affiliation(s)
- Xia Xu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Chunbao Mo
- School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Jian Qin
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, Guangxi, China
- Key Laboratory of Longevity and Aging-Related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, Guangxi, China
| | - Jiansheng Cai
- School of Public Health, Guilin Medical University, Lequn Road 20, Guilin, 541001, Guangxi, China
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi, China
| | - Qiumei Liu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Xu Tang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Haiying Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, Guangxi, China.
| | - Zhiyong Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China.
- School of Public Health, Guilin Medical University, Lequn Road 20, Guilin, 541001, Guangxi, China.
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi, China.
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Wang L, Xian X, Zhou M, Xu K, Cao S, Cheng J, Dai W, Zhang W, Ye M. Anti-Inflammatory Diet and Protein-Enriched Diet Can Reduce the Risk of Cognitive Impairment among Older Adults: A Nationwide Cross-Sectional Research. Nutrients 2024; 16:1333. [PMID: 38732579 PMCID: PMC11085298 DOI: 10.3390/nu16091333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Cognitive impairment (CI) is a common mental health disorder among older adults, and dietary patterns have an impact on cognitive function. However, no systematic researches have constructed anti-inflammatory diet (AID) and protein-enriched diet (PED) to explore their association with CI among older adults in China. METHODS The data used in this study were obtained from the 2018 waves of the China Longitudinal Health and Longevity Survey (CLHLS). We construct AID, PED, and calculate scores for CI. We use binary logistic regression to explore the relationship between them, and use restrictive cubic splines to determine whether the relationships are non-linear. Subgroup analysis and sensitivity analysis were used to demonstrate the robustness of the results. RESULTS A total of 8692 participants (mean age is 83.53 years) were included in the analysis. We found that participants with a higher AID (OR = 0.789, 95% confidence interval: 0.740-0.842, p < 0.001) and PED (OR = 0.910, 95% confidence interval: 0.866-0.956, p < 0.001) score showed lower odds of suffering from CI. Besides, the relationship between the two dietary patterns and CI is linear, and the results of subgroup analysis and sensitivity analysis are also significant. CONCLUSION Higher intakes of AID and PED are associated with a lower risk of CI among older adults, which has important implications for future prevention and control of CI from a dietary and nutritional perspective.
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Affiliation(s)
- Liang Wang
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Xiaobing Xian
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Mengting Zhou
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Ke Xu
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Shiwei Cao
- School of the Second Clinical, Chongqing Medical University, Chongqing 400016, China;
| | - Jingyu Cheng
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Weizhi Dai
- School of the First Clinical, Chongqing Medical University, Chongqing 400016, China;
| | - Wenjia Zhang
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
| | - Mengliang Ye
- School of Public Health, Chongqing Medical University, Chongqing 400016, China; (L.W.); (X.X.); (M.Z.); (K.X.); (J.C.); (W.Z.)
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Yang Y, Zhu D, Qi R, Chen Y, Sheng B, Zhang X. Association between Intake of Edible Mushrooms and Algae and the Risk of Cognitive Impairment in Chinese Older Adults. Nutrients 2024; 16:637. [PMID: 38474765 DOI: 10.3390/nu16050637] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Previous studies have investigated the association between diet and cognitive impairment, yet there is limited investigation into the link between edible mushrooms and algae intake and cognitive decline. This study aims to explore the association between edible mushrooms and algae intake and the risk of cognitive impairment in individuals aged 65 years and above in China. Cross-sectional data from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) formed the basis of this study. Edible mushrooms and algae intake was evaluated using a simplified food frequency questionnaire (FFQ) and cognitive function was assessed using the Mini-Mental State Examination (MMSE). A binary logistic regression model was used to evaluate odds ratios (ORs) and 95% confidence intervals (CIs), with subgroup analysis conducted. Among 14,150 older adults, the average age was (85.33 ± 11.55), with a cognitive impairment prevalence of 22.7; multi-model adjustments showed a 25.3% lower probability of cognitive impairment for those occasionally consuming edible mushrooms and algae (OR: 0.747, 95% CI: 0.675~0.826). Furthermore, a 29% lower risk was observed in those with daily intake (OR: 0.710, 95% CI: 0.511~0.987). Subgroup analysis demonstrated significant risk reduction in women (OR: 0.589, 95% CI: 0.375~0.925, p = 0.022), individuals with disability in activities of daily living (OR: 0.568, 95% CI: 0.367~0.878, p = 0.011), and those with low social activity levels (OR: 0.671, 95% CI: 0.473~0.950, p = 0.025). This study concludes that edible mushrooms and algae intake significantly impacts the risk of cognitive impairment in older adults. These results provide insights and impetus for further research into this area. Additional cohort studies or intervention trials are necessary to confirm the potential benefits of edible mushrooms and algae in promoting cognitive health.
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Affiliation(s)
- Yun Yang
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Danni Zhu
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Ran Qi
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yanchun Chen
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Baihe Sheng
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xinyu Zhang
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
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