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Meta-Analysis
. 2015 Aug 1;14:76.
doi: 10.1186/s12937-015-0063-7.

Vitamin D Deficiency Is Associated With Increased Risk of Alzheimer's Disease and Dementia: Evidence From Meta-Analysis

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Free PMC article
Meta-Analysis

Vitamin D Deficiency Is Associated With Increased Risk of Alzheimer's Disease and Dementia: Evidence From Meta-Analysis

Liang Shen et al. Nutr J. .
Free PMC article

Abstract

Background: In recent years, the associations between vitamin D status and Alzheimer's disease (AD) and dementia have gained increasing interests. The present meta-analysis was designed to estimate the association between vitamin D deficiency and risk of developing AD and dementia.

Methods: A literature search conducted until February 2015 identified 10 study populations, which were included in the meta-analysis. Pooled risk ratios (RRs) and 95% confidence interval (CI) were calculated with a random-effect model using Stata software package.

Results: Results of our meta-analysis showed that subjects with deficient vitamin D status (25(OH)D level < 50 nmol/L) were at increased risk of developing AD by 21% compared with those possessing 25(OH)D level > 50 nmol/L. Similar analysis also found a significantly increased dementia risk in vitamin D deficient subjects. There is no evidence for significant heterogeneity among the included studies.

Conclusion: Available data indicates that lower vitamin D status may be associated with increased risk of developing AD and dementia. More studies are needed to further confirm the associations and to evaluate the beneficial effects of vitamin D supplementation in preventing AD and dementia.

Figures

Fig. 1
Fig. 1
Flowchart of selection of the references for inclusion in meta-analysis
Fig. 2
Fig. 2
Forest plot of the included studies investigating risk of developing AD in vitamin D deficient subjects. The size of each square is proportional to the study’s weight
Fig. 3
Fig. 3
Forest plot of the included studies investigating risk of developing dementia in vitamin D deficient subjects. The size of each square is proportional to the study’s weight

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