Epidemiology and Risk Factors Characteristics of Alzheimer’s Disease in Southwestern China: A Cross-Sectional Study

Yuhang Zhu,1,2,* Hongli Liu,2,3,* Miao He,4 Zucai Xu,5 Lv Sun,6 Zhenyu Wu,2 Xi Niu,1 Shihui Huang,1 Jiafu Wang,1 Xueqin Ran1 1Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People’s Republic of China; 2Key Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China; 3Department of Critical Care Medicine, Chongqing General Hospital, Chongqing University, Chongqing, 401147, People’s Republic of China; 4Department of Anesthesiology, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, People’s Republic of China; 5Department of Neurology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China; 6Department of Imaging, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xueqin Ran, Email [email protected] Jiafu Wang, Email [email protected]: To address the regional heterogeneity of Alzheimer’s disease, a large-scale epidemiological study of 12,421 elderly individuals was conducted in southwestern China to depict its unique risk characteristics.Methods: A total of 12,421 subjects were selected via cluster sampling from southwestern China after low quality data were filtered out. On the basis of investigations and medical imaging examinations, three groups were distinguished: the AD, mild cognitive impairment (MCI), and normal control groups. The risk factors for AD and MCI were analysed via a multivariate logistic regression model.Results: This study identifies a high burden of cognitive impairment in southwestern China, with 22.07% of adults aged ≥ 60 years exhibiting cognitive decline and 5.81% diagnosed with Alzheimer’s disease rates surpassing national and global averages. Key risk factors included age > 80 years, female sex, low education, rural residence, surgical history, and urological comorbidities. These findings underscore the need for region-specific prevention strategies, prioritizing older, less-educated rural women through combined cognitive and vascular interventions, while integrating cognitive screening into primary care in underserved areas for early detection and intervention.Conclusion: Elderly individuals in southwestern China exhibit a high prevalence of cognitive impairment, with AD associated with complex risk factors including established contributors like advanced age, dementia family history, alcohol abuse, and multisystem comorbidities-while notably identifying surgical history and urolithiasis as region specific risk signals. These findings underscore regional, environmental, and ethnic influences on AD pathogenesis, requiring tailored prevention/treatment. Future priorities include integrating brief cognitive screening into primary care, targeting high-risk groups (eg, undereducated rural elderly women), and establishing prospective cohorts to clarify causal links between urolithiasis, surgical history, and cognitive decline for refined region-adapted AD prevention.Keywords: Alzheimer’s disease, MCI, epidemiology, China, risk factor

Authors

Publication Details

Journal
Dove Medical Press (Taylor and Francis Group)
Published
2025-12-26
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiology and Risk Factors Characteristics of Alzheimer’s Disease in Southwestern China: A Cross-Sectional Study

Jiafu Wang, Lv Sun, Yuhang ZHU, Xi Niu et al.
Dove Medical Press (Taylor and Francis Group)
Dementia and Cognitive Impairment Research
article

Epidemiology and Risk Factors Characteristics of Alzheimer’s Disease in Southwestern China: A Cross-Sectional Study

Jiafu Wang, Lv Sun, Yuhang ZHU, Xi Niu, Hongli Liu, Zucai Xu, Shihui Huang, Xueqin Ran, Zhenyu Wu, Miao He
article en

Abstract

Yuhang Zhu,1,2,* Hongli Liu,2,3,* Miao He,4 Zucai Xu,5 Lv Sun,6 Zhenyu Wu,2 Xi Niu,1 Shihui Huang,1 Jiafu Wang,1 Xueqin Ran1 1Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People’s Republic of China; 2Key Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China; 3Department of Critical Care Medicine, Chongqing General Hospital, Chongqing University, Chongqing, 401147, People’s Republic of China; 4Department of Anesthesiology, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, People’s Republic of China; 5Department of Neurology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China; 6Department of Imaging, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xueqin Ran, Email [email protected] Jiafu Wang, Email [email protected]: To address the regional heterogeneity of Alzheimer’s disease, a large-scale epidemiological study of 12,421 elderly individuals was conducted in southwestern China to depict its unique risk characteristics.Methods: A total of 12,421 subjects were selected via cluster sampling from southwestern China after low quality data were filtered out. On the basis of investigations and medical imaging examinations, three groups were distinguished: the AD, mild cognitive impairment (MCI), and normal control groups. The risk factors for AD and MCI were analysed via a multivariate logistic regression model.Results: This study identifies a high burden of cognitive impairment in southwestern China, with 22.07% of adults aged ≥ 60 years exhibiting cognitive decline and 5.81% diagnosed with Alzheimer’s disease rates surpassing national and global averages. Key risk factors included age > 80 years, female sex, low education, rural residence, surgical history, and urological comorbidities. These findings underscore the need for region-specific prevention strategies, prioritizing older, less-educated rural women through combined cognitive and vascular interventions, while integrating cognitive screening into primary care in underserved areas for early detection and intervention.Conclusion: Elderly individuals in southwestern China exhibit a high prevalence of cognitive impairment, with AD associated with complex risk factors including established contributors like advanced age, dementia family history, alcohol abuse, and multisystem comorbidities-while notably identifying surgical history and urolithiasis as region specific risk signals. These findings underscore regional, environmental, and ethnic influences on AD pathogenesis, requiring tailored prevention/treatment. Future priorities include integrating brief cognitive screening into primary care, targeting high-risk groups (eg, undereducated rural elderly women), and establishing prospective cohorts to clarify causal links between urolithiasis, surgical history, and cognitive decline for refined region-adapted AD prevention.Keywords: Alzheimer’s disease, MCI, epidemiology, China, risk factor

Dove Medical Press (Taylor and Francis Group)
Openalex Percentile: Top 32%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.