Background: A lot of evidence demonstrated sleep disturbance (SD) gets associated with Alzheimer’s disease (AD), but whether or not sleep disturbance could be the preclinical stage of AD is still unknown.
Objective: 463 cognitively normal elders (357 normal and 106 SD) in baseline with cognitive and biomarker data were included in the study. Participants were collected from 2005 to 2020 (16 years follow-up) in the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
Methods: A generalized linear mixed model was used to adjust time variables and other covariates selected by the Akaike Information Criterion (AIC). Besides, the marginal effect estimation method was used to evaluate the interaction between sleep disturbance and time on cognitive decline. Cox regression was used to assess the survival risk of AD in sleep disturbance.
Results: The age range of participants was 73.60±5.71 years old, and the female proportion was 43.63%. Taking time as a continuous variable in longitudinal analyses, it was found that sleep disturbance had a significant long-term negative effect on MMSE, PACC, CSF Aβ, and ventricular volume (P<0.05). Cox regression analysis showed that sleep disturbance is a significant risk factor of AD (HR=1.55, 95% CI=1.08 to 2.22).
Conclusion: Sleep disturbance in baseline was associated with subsequent cognitive decline among cognitively normal elders and is an increased risk of AD, which means sleep disturbance could probably be the pre-symptomatic stage of AD.

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This is a list of supplementary files associated with this preprint. Click to download.
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Posted 19 Jan, 2021
Posted 19 Jan, 2021
Background: A lot of evidence demonstrated sleep disturbance (SD) gets associated with Alzheimer’s disease (AD), but whether or not sleep disturbance could be the preclinical stage of AD is still unknown.
Objective: 463 cognitively normal elders (357 normal and 106 SD) in baseline with cognitive and biomarker data were included in the study. Participants were collected from 2005 to 2020 (16 years follow-up) in the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
Methods: A generalized linear mixed model was used to adjust time variables and other covariates selected by the Akaike Information Criterion (AIC). Besides, the marginal effect estimation method was used to evaluate the interaction between sleep disturbance and time on cognitive decline. Cox regression was used to assess the survival risk of AD in sleep disturbance.
Results: The age range of participants was 73.60±5.71 years old, and the female proportion was 43.63%. Taking time as a continuous variable in longitudinal analyses, it was found that sleep disturbance had a significant long-term negative effect on MMSE, PACC, CSF Aβ, and ventricular volume (P<0.05). Cox regression analysis showed that sleep disturbance is a significant risk factor of AD (HR=1.55, 95% CI=1.08 to 2.22).
Conclusion: Sleep disturbance in baseline was associated with subsequent cognitive decline among cognitively normal elders and is an increased risk of AD, which means sleep disturbance could probably be the pre-symptomatic stage of AD.

Figure 1

Figure 2

Figure 3

Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
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