334515
Circadian Activity Rhythms and Risk of Cognitive Decline and Alzheimer's disease: A Meta-analytic Approach
Methods: Original published literature assessing any association of CAR with cognitive decline/AD was identified by searching four bibliographic databases (PubMed, Embase, Web of Science, and the Cochrane library) from their onset until and including November, 2014. Random effects model was used to calculate relative risks (RR) and 95% confidence intervals (CI) using pooled effect estimates of individual studies. Heterogeneity of results across studies was quantified using I-square statistics. Additionally, the population attributable risk (PAR) was estimated.
Results: Twenty-three publications that met the selection and final inclusion/exclusion criteria for the study were included in the systematic review. Collectively, evidence show that CAR is associated with AD, cognitive decline and AD pathology. Altogether, 7 observational studies (n = 3516 participants) that provided 17 RR estimates were included for the meta-analysis. Results showed that CAR increased cognitive decline/AD risk by 53% (RR: 1.53, 95% CI: 1.25-1.88), and almost 6% of AD could be attributed to CAR. I-square was 79% suggesting heterogeneity. Studied factors in the meta-regression analysis had no significant influence on the estimated effect size.
Conclusions: This meta-analysis confirmed the association between CAR and cognitive decline/AD and, for the first time, quantified an “average” magnitude. Exploring interventions that influence activity rhythms as prevention of cognitive decline in the elderly are therefore imperative.
Learning Areas:
Chronic disease management and preventionEpidemiology
Public health or related research
Learning Objectives:
Describe the effect of Circadian Activity Rhythms (CAR) on cognitive decline and/or Alzheimer's disease.
Explain the need to explore interventions that influence activity rhythms as prevention of cognitive decline in the elderly.
Keyword(s): Aging, Behavioral Research
Qualified on the content I am responsible for because: I am a Doctoral candidate at the Department of Epidemiology and Biostatistics, University of South Florida. As a Graduate Research Assistant I have had multiple experience in data entry and analysis, preparing literature reviews for manuscripts, being a group facilitator, and working with faculty on various research projects in healthcare across various medical fields. Among my scientific interests has been the identification of risk factors and development of strategies for preventing Alzheimer's disease.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.