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      Circadian disturbances in Alzheimer’s disease progression: a prospective observational cohort study of community-based older adults

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          Background

          Circadian disturbances are commonly seen in people with Alzheimer’s disease and have been reported in individuals without symptoms of dementia but with Alzheimer’s pathology. We aimed to assess the temporal relationship between circadian disturbances and Alzheimer’s progression.

          Methods

          We did a prospective cohort study of 1401 healthy older adults (aged >59 years) enrolled in the Rush Memory and Aging Project (Rush University Medical Center, Chicago, IL, USA) who had been followed up for up to 15 years. Participants underwent annual assessments of cognition (with a battery of 21 cognitive performance tests) and motor activities (with actigraphy). Four measures were extracted from actigraphy to quantify daily and circadian rhythmicity, which were amplitude of 24-h activity rhythm, acrophase (representing peak activity time), interdaily stability of 24-h activity rhythm, and intradaily variability for hourly fragmentation of activity rhythm. We used Cox proportional hazards models and logistic regressions to assess whether circadian disturbances predict an increased risk of incident Alzheimer’s dementia and conversion of mild cognitive impairment to Alzheimer’s dementia. We used linear mixed-effects models to investigate how circadian rhythms changed longitudinally and how the change integrated to Alzheimer’s progression.

          Findings

          Participants had a median age of 81·8 (IQR 76·3–85·7) years. Risk of developing Alzheimer’s dementia was increased with lower amplitude (1 SD decrease, hazard ratio [HR] 1·39, 95% CI 1·19–1·62) and higher intradaily variability (1 SD increase, 1·22, 1·04–1·43). In participants with mild cognitive impairment, increased risk of Alzheimer’s dementia was predicted by lower amplitude (1 SD decrease, HR 1·46, 95% CI 1·24–1·72), higher intradaily variability (1 SD increase, 1·36, 1·15–1·60), and lower interdaily stability (1 SD decrease, 1·21, 1·02–1·44). A faster transition to Alzheimer’s dementia in participants with mild cognitive impairment was predicted by lower amplitude (1 SD decrease, odds ratio [OR] 2·08, 95% CI 1·53–2·93), increased intradaily variability (1 SD increase, 1·97, 1·43–2·79), and decreased interdaily stability (1 SD decrease, 1·35, 1·01–1·84). Circadian amplitude, acrophase, and interdaily stability progressively decreased over time, and intradaily variability progressively increased over time. Alzheimer’s progression accelerated these aging effects by doubling or more than doubling the annual changes in these measures after the diagnosis of mild cognitive impairment, and further doubled them after the diagnosis of Alzheimer’s dementia. The longitudinal change of global cognition positively correlated with the longitudinal changes in amplitude and interdaily stability and negatively correlated with the longitudinal change in intradaily variability.

          Interpretation

          Our results indicate a link between circadian dysregulation and Alzheimer’s progression, implying either a bidirectional relation or shared common underlying pathophysiological mechanisms.

          Funding

          National Institutes of Health, and the BrightFocus Foundation.

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          Most cited references32

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          Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

          Neurology, 34(7), 939-939
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            Overview and findings from the rush Memory and Aging Project.

            The Memory and Aging Project is a longitudinal, epidemiologic clinical-pathologic cohort study of common chronic conditions of aging with an emphasis on decline in cognitive and motor function and risk of Alzheimer's disease (AD). In this manuscript, we first summarize the study design and methods. Then, we present data on: (1) the relation of motor function to cognition, disability, and death; (2) the relation of risk factors to cognitive and motor outcomes, disability and death; (3) the relation of neuropathologic indices to cognitive outcomes; (4) the relation of risk factors to neuropathologic indices; and (5) additional study findings. The findings are discussed and contextualized.
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              Total daily physical activity and the risk of AD and cognitive decline in older adults.

              Studies examining the link between objective measures of total daily physical activity and incident Alzheimer disease (AD) are lacking. We tested the hypothesis that an objective measure of total daily physical activity predicts incident AD and cognitive decline. Total daily exercise and nonexercise physical activity was measured continuously for up to 10 days with actigraphy (Actical®; Philips Healthcare, Bend, OR) from 716 older individuals without dementia participating in the Rush Memory and Aging Project, a prospective, observational cohort study. All participants underwent structured annual clinical examination including a battery of 19 cognitive tests. During an average follow-up of about 4 years, 71 subjects developed clinical AD. In a Cox proportional hazards model adjusting for age, sex, and education, total daily physical activity was associated with incident AD (hazard ratio = 0.477; 95% confidence interval 0.273-0.832). The association remained after adjusting for self-report physical, social, and cognitive activities, as well as current level of motor function, depressive symptoms, chronic health conditions, and APOE allele status. In a linear mixed-effect model, the level of total daily physical activity was associated with the rate of global cognitive decline (estimate 0.033, SE 0.012, p = 0.007). A higher level of total daily physical activity is associated with a reduced risk of AD.
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                Author and article information

                Contributors
                Journal
                101773309
                50162
                Lancet Healthy Longev
                Lancet Healthy Longev
                The Lancet. Healthy longevity
                2666-7568
                1 December 2020
                12 November 2020
                December 2020
                25 June 2021
                : 1
                : 3
                : e96-e105
                Affiliations
                Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
                Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
                Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
                Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
                Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
                Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
                Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
                Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
                Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
                Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
                Author notes

                Contributors

                PL and KH had the idea for the study and contributed to study design. PL drafted the manuscript. PL, AG, LY, LC, and WF contributed to signal processing and statistical analysis. DAB and ASB contributed to design of the Rush Memory and Aging Project and obtained data. LG, LY, ASPL, DAB, ASB, and KH revised the manuscript for important intellectual content. All authors reviewed the manuscript and approved the final version to be published.

                Correspondence to: Dr Peng Li, Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA pli9@ 123456bwh.harvard.edu
                Article
                NIHMS1647409
                10.1016/s2666-7568(20)30015-5
                8232345
                34179863
                a1e0db80-6879-4df5-91db-dd964792c1e3

                This is an Open Access article under the CC BY-NC-ND 4.0 license.

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