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Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China

Received: 14 October 2025     Accepted: 26 October 2025     Published: 22 November 2025
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Abstract

Objective: To investigate the correlation between blood glucose, blood lipids, and renal function with the prevalence of cognitive impairment in elderly individuals aged 65 and above in this region, and to analyze the influencing factors. Methods: This study adopted a cross-sectional design, selecting 11,510 residents from nine communities in this region who participated in elderly health examinations from 2022 to 2023 as the study subjects. Demographic data (age, gender, education level), medical history, and other baseline information were collected through standardized questionnaires. Laboratory data such as fasting blood glucose, blood lipids, and renal function were measured, and cognitive function status was assessed using the Mini-Mental State Examination (MMSE) to determine the prevalence of cognitive impairment in individuals aged ≥65 in this region. Data analysis was performed using SPSS 25.0 software, and univariate and multivariate logistic regression analyses were conducted to examine the impact of blood glucose, blood lipids, and renal function on cognitive impairment. Results: Among the 11,510 elderly individuals, 2,803 had cognitive impairment, with a prevalence rate of 24.4%. The results showed that hypoglycemia, hyperglycemia, triglycerides, cholesterol, low-density lipoprotein, glomerular filtration rate, age, gender, and education level had significant effects on cognitive impairment (P < 0.05), while high-density lipoprotein cholesterol showed no significant association. Conclusion: Female gender, advanced age, low education level, hypoglycemia, hyperglycemia, high triglycerides, high cholesterol, low-density lipoprotein cholesterol, and decreased glomerular filtration rate are risk factors for cognitive impairment in the elderly population of this region.

Published in American Journal of Clinical and Experimental Medicine (Volume 13, Issue 6)
DOI 10.11648/j.ajcem.20251306.11
Page(s) 162-169
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Renal Function, Blood Glucose, Blood Lipid, Cognitive Dysfunction, Prevalence

References
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[3] Tricco AC, Soobiah C, Lillie E, et al. Use of cognitive enhancers for mild cognitive impairment: protocol for a systematic review and network meta-analysis [J]. Syst Rev, 2012, 1(25): 2046-4053.
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[5] Eshkoor SA, Hamid TA, Mun CY, et al. Mild cognitive impairment and its management in older people [J]. Clin Interv Aging, 2015, 10: 687-693.
[6] Barekatain M, Zahedian F, Askarpour H, et al. Coronary artery disease and plasma apolipoprotein E4 in mild cognitive impairment [J]. ARYA Atheroscler, 2014, 10(5): 244 - 251.
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[9] J Bischkopf, A Busse, M C Angermeyer. Mild cognitive impairment--a review of prevalence, incidence and outcome according to current approaches. Acta Psychiatr Scand 2002, Dec; 106(6): 403-14.
[10] Giovanni Ravaglia, Paola Forti, Fabiola Maioli et al. Education, occupation, and prevalence of dementia: findings from the Conselice study. Dement Geriatr Cogn Disord 2002; 14(2): 90-100.
[11] Wang Yin-hua, Chen Xiao-hong, Tang Zhe, Meng Chen. Neuropsychological research on mild cognitive impairment and ApoE gene polymorphism analysis. China Rehabilitation Theory and Practice, 2005, 3(3): 45-48.
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[13] LUANA LL, GRO T, MARIA LB, et al. Does hyperglycemia downregulate glucose transporters in the brain? [J]. Medical Hypotheses, 2020, 139: 109614.
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[15] SVENSSONT, SAWADA N, MIMURA M, et al. The association between midlife serum high-density lipoprotein and mild cognitive impairment and dementia after19 years of follow-up [J]. Translational Psychiatry, 2019, 9(1): 26.
[16] Wang M, Li Y, Cong L, et al. High-density lipoprotein cholesterol and brain aging among rural-dwelling older adults: a population-based MRI study [J]. European Journal of Neurology [2025-10-07].
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    Zhu, L., Yi, Q., Bai, C., Tian, W., Liu, L., et al. (2025). Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China. American Journal of Clinical and Experimental Medicine, 13(6), 162-169. https://doi.org/10.11648/j.ajcem.20251306.11

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    ACS Style

    Zhu, L.; Yi, Q.; Bai, C.; Tian, W.; Liu, L., et al. Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China. Am. J. Clin. Exp. Med. 2025, 13(6), 162-169. doi: 10.11648/j.ajcem.20251306.11

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    AMA Style

    Zhu L, Yi Q, Bai C, Tian W, Liu L, et al. Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China. Am J Clin Exp Med. 2025;13(6):162-169. doi: 10.11648/j.ajcem.20251306.11

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  • @article{10.11648/j.ajcem.20251306.11,
      author = {Ling Zhu and Qing-hua Yi and Can-hong Bai and Wei-li Tian and Li-jian Liu and Xiao-ping Ye and Li-ping Qiu and Feng-lian Yang and Shao-chang Ma and Zhi-fang Li and Li-ping Fu and Ding Luo},
      title = {Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China
    },
      journal = {American Journal of Clinical and Experimental Medicine},
      volume = {13},
      number = {6},
      pages = {162-169},
      doi = {10.11648/j.ajcem.20251306.11},
      url = {https://doi.org/10.11648/j.ajcem.20251306.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20251306.11},
      abstract = {Objective: To investigate the correlation between blood glucose, blood lipids, and renal function with the prevalence of cognitive impairment in elderly individuals aged 65 and above in this region, and to analyze the influencing factors. Methods: This study adopted a cross-sectional design, selecting 11,510 residents from nine communities in this region who participated in elderly health examinations from 2022 to 2023 as the study subjects. Demographic data (age, gender, education level), medical history, and other baseline information were collected through standardized questionnaires. Laboratory data such as fasting blood glucose, blood lipids, and renal function were measured, and cognitive function status was assessed using the Mini-Mental State Examination (MMSE) to determine the prevalence of cognitive impairment in individuals aged ≥65 in this region. Data analysis was performed using SPSS 25.0 software, and univariate and multivariate logistic regression analyses were conducted to examine the impact of blood glucose, blood lipids, and renal function on cognitive impairment. Results: Among the 11,510 elderly individuals, 2,803 had cognitive impairment, with a prevalence rate of 24.4%. The results showed that hypoglycemia, hyperglycemia, triglycerides, cholesterol, low-density lipoprotein, glomerular filtration rate, age, gender, and education level had significant effects on cognitive impairment (P < 0.05), while high-density lipoprotein cholesterol showed no significant association. Conclusion: Female gender, advanced age, low education level, hypoglycemia, hyperglycemia, high triglycerides, high cholesterol, low-density lipoprotein cholesterol, and decreased glomerular filtration rate are risk factors for cognitive impairment in the elderly population of this region.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Impact Analysis of Renal Function, Blood Glucose, and Lipid Levels on Cognitive Dysfunction in the Elderly in Southwest China
    
    AU  - Ling Zhu
    AU  - Qing-hua Yi
    AU  - Can-hong Bai
    AU  - Wei-li Tian
    AU  - Li-jian Liu
    AU  - Xiao-ping Ye
    AU  - Li-ping Qiu
    AU  - Feng-lian Yang
    AU  - Shao-chang Ma
    AU  - Zhi-fang Li
    AU  - Li-ping Fu
    AU  - Ding Luo
    Y1  - 2025/11/22
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ajcem.20251306.11
    DO  - 10.11648/j.ajcem.20251306.11
    T2  - American Journal of Clinical and Experimental Medicine
    JF  - American Journal of Clinical and Experimental Medicine
    JO  - American Journal of Clinical and Experimental Medicine
    SP  - 162
    EP  - 169
    PB  - Science Publishing Group
    SN  - 2330-8133
    UR  - https://doi.org/10.11648/j.ajcem.20251306.11
    AB  - Objective: To investigate the correlation between blood glucose, blood lipids, and renal function with the prevalence of cognitive impairment in elderly individuals aged 65 and above in this region, and to analyze the influencing factors. Methods: This study adopted a cross-sectional design, selecting 11,510 residents from nine communities in this region who participated in elderly health examinations from 2022 to 2023 as the study subjects. Demographic data (age, gender, education level), medical history, and other baseline information were collected through standardized questionnaires. Laboratory data such as fasting blood glucose, blood lipids, and renal function were measured, and cognitive function status was assessed using the Mini-Mental State Examination (MMSE) to determine the prevalence of cognitive impairment in individuals aged ≥65 in this region. Data analysis was performed using SPSS 25.0 software, and univariate and multivariate logistic regression analyses were conducted to examine the impact of blood glucose, blood lipids, and renal function on cognitive impairment. Results: Among the 11,510 elderly individuals, 2,803 had cognitive impairment, with a prevalence rate of 24.4%. The results showed that hypoglycemia, hyperglycemia, triglycerides, cholesterol, low-density lipoprotein, glomerular filtration rate, age, gender, and education level had significant effects on cognitive impairment (P < 0.05), while high-density lipoprotein cholesterol showed no significant association. Conclusion: Female gender, advanced age, low education level, hypoglycemia, hyperglycemia, high triglycerides, high cholesterol, low-density lipoprotein cholesterol, and decreased glomerular filtration rate are risk factors for cognitive impairment in the elderly population of this region.
    
    VL  - 13
    IS  - 6
    ER  - 

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