Abstract
Objective: The aim of this study was to analyze the relationship between Alzheimer’s disease (AD) and a risk of osteoporosis in the elderly cohort of Chongqing, China.
Methods: A prospective study with 6 years of follow-up in 1802 patients aged 60– 75 was conducted from January 2007 to June 2013. Dual energy X-ray absorptiometry was utilized to evaluate bone mineral density (BMD). Their cognitive function was detected using the Chinese version of the Mini-Mental State Examination (MMSE) and a detection of the instrumental activities of daily living (ADL). Cox proportional hazards models were used to detect the association between AD and the risk of osteoporosis.
Results: After adjusting for age, female, AD, 25-hydroxyvitamine D (25(OH)D), smoking, drinking and stroke, AD (Hazard ratio, HR 2.48, 95%CI 1.66-2.94), age (HR 1.36, 95% CI 1.14-1.60), female (HR 1.39, 95% CI 1.17-1.65), 25(OH)D (HR1.34, 95%CI 1.11-1.59), current smoking (HR 1.27, 95%CI 1.22-1.43), daily drinking (HR 1.33, 95%CI 1.11-1.52) and stroke (HR 1.26, 95%CI 1.14-1.58) were associated with increased risk of osteoporosis. In osteoporosis fracture group, osteoporosis with AD was more common than osteoporosis with normal cognition function.
Conclusion: AD was associated with an increased risk of osteoporosis in the elderly cohort of Chongqing, China.
Keywords: Alzheimer’s disease, dementia, estrogen, fracture, hypercholesterolemia, osteoporosis.
Current Alzheimer Research
Title:Alzheimer’s Disease is Associated with Increased Risk of Osteoporosis: The Chongqing Aging Study
Volume: 13 Issue: 10
Author(s): Dong Liu, Huadong Zhou, Yong Tao, Jun Tan, Lin Chen, Haiyang Huang, Yang Chen, Yafei Li and Rui Zhou
Affiliation:
Keywords: Alzheimer’s disease, dementia, estrogen, fracture, hypercholesterolemia, osteoporosis.
Abstract: Objective: The aim of this study was to analyze the relationship between Alzheimer’s disease (AD) and a risk of osteoporosis in the elderly cohort of Chongqing, China.
Methods: A prospective study with 6 years of follow-up in 1802 patients aged 60– 75 was conducted from January 2007 to June 2013. Dual energy X-ray absorptiometry was utilized to evaluate bone mineral density (BMD). Their cognitive function was detected using the Chinese version of the Mini-Mental State Examination (MMSE) and a detection of the instrumental activities of daily living (ADL). Cox proportional hazards models were used to detect the association between AD and the risk of osteoporosis.
Results: After adjusting for age, female, AD, 25-hydroxyvitamine D (25(OH)D), smoking, drinking and stroke, AD (Hazard ratio, HR 2.48, 95%CI 1.66-2.94), age (HR 1.36, 95% CI 1.14-1.60), female (HR 1.39, 95% CI 1.17-1.65), 25(OH)D (HR1.34, 95%CI 1.11-1.59), current smoking (HR 1.27, 95%CI 1.22-1.43), daily drinking (HR 1.33, 95%CI 1.11-1.52) and stroke (HR 1.26, 95%CI 1.14-1.58) were associated with increased risk of osteoporosis. In osteoporosis fracture group, osteoporosis with AD was more common than osteoporosis with normal cognition function.
Conclusion: AD was associated with an increased risk of osteoporosis in the elderly cohort of Chongqing, China.
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Cite this article as:
Liu Dong, Zhou Huadong, Tao Yong, Tan Jun, Chen Lin, Huang Haiyang, Chen Yang, Li Yafei and Zhou Rui, Alzheimer’s Disease is Associated with Increased Risk of Osteoporosis: The Chongqing Aging Study, Current Alzheimer Research 2016; 13 (10) . https://dx.doi.org/10.2174/15672050113109990149
DOI https://dx.doi.org/10.2174/15672050113109990149 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
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Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
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