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Guo Y, Liang R, Ren J, Cheng L, Wang M, Chai H, Cheng X, Yang Y, Sun Y, Li J, Zhao S, Hou W, Zhang J, Liu F, Wang R, Niu Q, Yu H, Yang S, Bai J, Zhang H, Qin X, Xia N. Cognitive status and its risk factors in patients with hypertension and diabetes in a low-income rural area of China: A cross-sectional study. Int J Geriatr Psychiatry 2023; 38:e6010. [PMID: 37794769 DOI: 10.1002/gps.6010] [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: 10/11/2022] [Accepted: 09/25/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVES The proportion of older people with dementia in China is gradually increasing with the increase in the aging population over recent years. Hypertension and diabetes are common non-communicable diseases among rural populations in China. However, it remains unclear whether these conditions affect the occurrence and development of cognitive impairment as there is limited research on cognitive status and its risk factors among residents of rural areas. METHODS A multi-stage stratified cluster random sampling method was used to select 5400 participants from rural permanent residents. A self-designed structured questionnaire was used to investigate demographic data of the participants. Cognitive function was assessed using the Montreal Cognitive Function Assessment Scale (MoCA). The results were analyzed using chi-square test, ANOVA and multiple linear regression analysis. RESULTS A total of 5028 participants returned the survey, giving a response rate of 93.1%. Higher education (odds ratio (OR) = 3.2, 95% confidence interval (CI) 2.87-3.54, p < 0.001), higher income (OR = 1.61, 95% CI 1.16-2.07, p < 0.001), and dietary control (OR = 0.66, 95%CI 0.34-0.98, p < 0.001) were protective factors. A visual representation of the relationship between annual income and MoCA score showed an inverted U-curve, the group with an annual income of 6000-7999 RMB had a maximum OR of 1.93 (95%CI 0.12-2.74, p < 0.001). While difficulty in maintaining sleep were risk factors for cognitive impairment (OR = -2.28, 95% CI-4.18-0.39, p = 0.018). CONCLUSIONS Participants with middle incomes had better cognitive status than those with the highest incomes. Higher education, proper diet control and good sleep are beneficial to the cognitive status of residents in rural areas.
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Affiliation(s)
- Yuyan Guo
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Ruifeng Liang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jingjuan Ren
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Liting Cheng
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
- Jinzhong Center for Disease Control and Prevention, Health Commission of Shanxi Province, Jinzhong, China
| | - Mengqin Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Huilin Chai
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaoyu Cheng
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yaowen Yang
- Health Commission Supervision & Inspection Center, Health Commission of Shanxi Province, Taiyuan, China
| | - Yajuan Sun
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Jiantao Li
- Department of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China
| | - Shuhong Zhao
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Wenjing Hou
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Jianhua Zhang
- Health Commission and Sports Bureau of Yangqu County, Taiyuan, China
| | - Feng Liu
- Yangqu People's Hospital, Taiyuan, China
| | - Rong Wang
- Yangqu People's Hospital, Taiyuan, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Hongmei Yu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Shoulin Yang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jianying Bai
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Hongmei Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaojiang Qin
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Na Xia
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
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