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

May 8, 2021Sleep

Using daily activity patterns to predict new cases of dementia and mild memory problems in older women

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Abstract

Women with earlier sleep/wake times had a 66% higher risk of developing dementia compared to those with average sleep/wake times.

Earlier sleep/wake times are linked to an increased risk of dementia but not mild cognitive impairment (MCI).
A smaller difference between day and night activity levels is associated with a higher risk of dementia.
No associations were found between intradaily variability, interdaily stability, or the most active 10-hour period and the risk of MCI or dementia.
The timing of sleep and the amplitude of day/night activity may serve as potential predictors for dementia.

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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.

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

Abstract

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