Predicting incident dementia and mild cognitive impairment in older women with nonparametric analysis of circadian activity rhythms in the Study of Osteoporotic Fractures

Author:

Posner Alexander B12ORCID,Tranah Gregory J1,Blackwell Terri1,Yaffe Kristine3456,Ancoli-Israel Sonia7,Redline Susan8,Leng Yue4,Zeitzer Jamie M91011,Chen Dorothy M12,Webber Katey R12,Stone Katie L1

Affiliation:

1. Research Institute, California Pacific Medical Center, San Francisco, CA, USA

2. Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA

3. San Francisco VA Medical Center, San Francisco, CA, USA

4. Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA

5. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA

6. Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA

7. Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA

8. Departments of Medicine and Neurology, Brigham and Women’s Hospital, and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

9. Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA

10. Mental Illness Research, Education, and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, USA

11. Stanford Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA, USA

Abstract

Abstract Study Objectives Disrupted daily rhythms are associated with mild cognitive impairment (MCI) and dementia. The specific nature of how rhythms and cognition are related, however, is unknown. We hypothesized characteristics from a nonparametric estimate of circadian rest-activity rhythm patterns would be associated to the development of MCI or dementia. Methods Wrist actigraphy from 1232 cognitively healthy, community-dwelling women (mean age 82.6 years) from the Study of Osteoporotic Fractures was used to estimate rest-activity patterns, including intradaily variability (IV), interdaily stability (IS), most active 10-hour period (M10), least active 5-hour period (L5), and relative amplitude (RA). Logistic regression examined associations of these predictors with 5-year incidence of MCI or dementia. Models were adjusted for potential confounders. Results Women with earlier sleep/wake times had higher risk of dementia, but not MCI, (early vs. average L5 midpoint: OR, 1.66; 95% CI, 1.08–2.55) as did women with smaller day/night activity differentials (low vs. high RA: OR, 1.96; 95% CI, 1.14–3.35). IV, IS, and M10 were not associated with MCI or dementia. Conclusion The timing and difference in day/night amplitude, but not variability of activity, may be useful as predictors of dementia.

Funder

National Institutes of Health

National Institute on Aging

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

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