Authors: Li, Lin | Cheng, Gui-Rong | Liu, Dan | Hu, Fei-Fei | Gan, Xu-Guang | Zhang, Bo | An, Lina | Chen, Cong | Zou, Ming-Jun | Xu, Lang | Ou, Yang-Ming | Chen, Yu-Shan | Li, Jin-Quan | Wei, Zhen | Wu, Qiong | Chen, Xing-Xing | Guo, Man-Qing | Wu, Qing-Ming | Wang, Ru | Zeng, Yan
Article Type: Research Article
Abstract: Background: Despite the improved access to health services in China, inadequate diagnosis and management of dementia are common issues, especially in rural regions. Objective: The Hubei Memory & Aging Cohort Study was designed as a prospective study in Central China to determine the prevalence, incidence, and risk factors for dementia and mild cognitive impairment (MCI) among urban and rural older adults. Methods: From 2018–2020, participants aged ≥65 years were screened, and data regarding their life behaviors, families, socio-economic status, physical and mental health, social and psychological factors, and cognition were collected. Diagnoses of MCI and dementia were made via consensus …diagnosis using the Diagnostic and Statistical Manual of Mental Disorders fourth edition criteria. Results: Of 8,221 individuals who completed their baseline clinical evaluation, 4,449 (54.1%) were women and 3,164 (38.4%) were from remote rural areas (average age: 71.96 years; mean education period: 7.58 years). At baseline, 25.98%(95%confidence interval [CI]: 24.99–26.96) and 7.24%(95%CI: 6.68–7.80) of the participants were diagnosed with MCI and dementia, respectively. Prevalence showed a strong relationship with age. The substantial disparities between rural and urban regions in MCI and dementia prevalence and multiple dementia-related risk factors were revealed. Especially for dementia, the prevalence rate in rural areas was 2.65 times higher than that in urban regions. Conclusion: Our results suggested that public health interventions are urgently needed to achieve equitable diagnosis and management for people living with dementia in the communities across urban and rural areas. Show more
Keywords: Community aging cohort, cognition, dementia, psychosocial factors, social connections
DOI: 10.3233/JAD-215129
Citation: Journal of Alzheimer's Disease, vol. 85, no. 2, pp. 561-571, 2022
Authors: Zhang, Jing-Jing | Li, Lin | Liu, Dan | Hu, Fei-Fei | Cheng, Gui-Rong | Xu, Lang | Yan, Ping-Ting | Tian, Yuan | Hu, Heng | Yu, Ya-Fu | Gan, Xu-Guang | An, Li-Na | Zhang, Bo | Qian, Jin | Fu, Li-Yan | Cheng, Xi | Lian, Peng-Fei | Zou, Ming-Jun | Chen, Cong | Wu, Qing-Ming | Zeng, Yan
Article Type: Research Article
Abstract: Background: Some studies have demonstrated an association between low and high body mass index (BMI) and an increased risk of dementia. However, only a few of these studies were performed in rural areas. Objective: This cross–sectional study investigated the associations between BMI and cognitive impairment among community–dwelling older adults from rural and urban areas. Methods: 8,221 older persons enrolled in the Hubei Memory & Ageing Cohort Study (HMACS) were recruited. Sociodemographic and lifestyle data, comorbidities, physical measurements, and clinical diagnoses of cognitive impairment were analyzed. Logistic regression was performed to assess the associations of BMI categories with cognitive impairment. A …series of sensitivity analyses were conducted to test whether reverse causality could influence our results. Results: Being underweight in the rural–dwelling participants increased the risk of cognitive impairment. Being overweight was a protective factor in rural–dwelling participants aged 65–69 years and 75–79 years, whereas being underweight was significantly associated with cognitive impairment (OR, 1.37; 95% CI: 1.03–1.83; p < 0.05). Sensitivity analyses support that underweight had an additive effect on the odds of cognitive impairment and was related to risk of dementia. Interaction test revealed that the differences between urban/rural in the relationship between BMI and cognitive impairment are statistically significant. Conclusion: Associations between BMI and cognitive impairment differ among urban/rural groups. Older people with low BMI living in rural China are at a higher risk for dementia than those living in urban areas. Show more
Keywords: Body mass index, cognitive impairment, community–dwelling older adults, cross–sectional study, rural–urban disparity
DOI: 10.3233/JAD-210295
Citation: Journal of Alzheimer's Disease, vol. 83, no. 4, pp. 1741-1752, 2021
Authors: Xie, Xin-Yan | Huang, Lin-Ya | Cheng, Gui-Rong | Liu, Dan | Hu, Fei-Fei | Zhang, Jing-Jing | Han, Gang-Bin | Liu, Xiao-Chang | Wang, Jun-Yi | Zhou, Juan | Zeng, De-Yang | Liu, Jing | Nie, Qian-Qian | Song, Dan | Yu, Ya-Fu | Hu, Chen-Lu | Fu, Yi-Di | Li, Shi-Yue | Cai, Cheng | Cui, Yu-Yang | Cai, Wan-Ying | Li, Yi-Qing | Fan, Ren-Jia | Wan, Hong | Xu, Lang | Ou, Yang-Ming | Chen, Xing-Xing | Zhou, Yan-Ling | Chen, Yu-Shan | Li, Jin-Quan | Wei, Zhen | Wu, Qiong | Mei, Yu-Fei | Tan, Wei | Song, Shao-Jun | Zeng, Yan
Article Type: Research Article
Abstract: Background: As a prodromal stage of dementia, significant emphasis has been placed on the identification of modifiable risks of mild cognitive impairment (MCI). Research has indicated a correlation between exposure to air pollution and cognitive function in older adults. However, few studies have examined such an association among the MCI population inChina. Objective: We aimed to explore the association between air pollution exposure and MCI risk from the Hubei Memory and Aging Cohort Study. Methods: We measured four pollutants from 2015 to 2018, 3 years before the cognitive assessment of the participants. Logistic regression models were employed to calculate odds …ratios (ORs) to assess the relationship between air pollutants and MCI risk. Results: Among 4,205 older participants, the adjusted ORs of MCI risk for the highest quartile of PM2.5 , PM10 , O3 , and SO2 were 1.90 (1.39, 2.62), 1.77 (1.28, 2.47), 0.56 (0.42, 0.75), and 1.18 (0.87, 1.61) respectively, compared with the lowest quartile. Stratified analyses indicated that such associations were found in both males and females, but were more significant in older participants. Conclusions: Our findings are consistent with the growing evidence suggesting that air pollution increases the risk of mild cognitive decline, which has considerable guiding significance for early intervention of dementia in the older population. Further studies in other populations and broader geographical areas are warranted to validate these findings. Show more
Keywords: Air pollution, Hubei Memory and Aging Cohort Study, mild cognitive impairment, older Chinese population
DOI: 10.3233/JAD-231186
Citation: Journal of Alzheimer's Disease, vol. 98, no. 3, pp. 941-955, 2024