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Published in: BMC Geriatrics 1/2024

Open Access 01-12-2024 | Alzheimer's Disease | Research

Sleep duration, sleep efficiency, and amyloid β among cognitively healthy later-life adults: a systematic review and meta-analysis

Authors: Chooza Moon, Aaron Schneider, Young-Eun Cho, Meina Zhang, Hellen Dang, Kelly Vu

Published in: BMC Geriatrics | Issue 1/2024

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Abstract

Background

Abnormal amyloid β (Aβ) deposits in the brain are a hallmark of Alzheimer’s disease (AD). Insufficient sleep duration and poor sleep quality are risk factors for developing AD. Sleep may play a role in Aβ regulation, but the magnitude of the relationship between sleep and Aβ deposition remains unclear. This systematic review examines the relationship between sleep (i.e., duration and efficiency) with Aβ deposition in later-life adults.

Methods

A search of PubMed, CINAHL, Embase, and PsycINFO generated 5,005 published articles. Fifteen studies met the inclusion criteria for qualitative syntheses; thirteen studies for quantitative syntheses related to sleep duration and Aβ; and nine studies for quantitative syntheses related to sleep efficiency and Aβ.

Results

Mean ages of the samples ranged from 63 to 76 years. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18-labeled. Sleep duration was measured subjectively using interviews or questionnaires, or objectively using polysomnography or actigraphy. Study analyses accounted for demographic and lifestyle factors. Based on 13 eligible articles, our synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher’s Z = -0.055, 95% CI = -0.117 ~ 0.008). We found that longer self-report sleep duration is associated with lower Aβ (Fisher’s Z = -0.062, 95% CI = -0.119 ~ -0.005), whereas the objectively measured sleep duration was not associated with Aβ (Fisher’s Z = 0.002, 95% CI = -0.108 ~ 0.113). Based on 9 eligible articles for sleep efficiency, our synthesis also demonstrated that the average association between sleep efficiency and Aβ was not statistically significant (Fisher’s Z = 0.048, 95% CI = -0.066 ~ 0.161).

Conclusion

The findings from this review suggest that shorter self-reported sleep duration is associated with higher Aβ levels. Given the heterogeneous nature of the sleep measures and outcomes, it is still difficult to determine the exact relationship between sleep and Aβ. Future studies with larger sample sizes should focus on comprehensive sleep characteristics and use longitudinal designs to better understand the relationship between sleep and AD.
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Literature
1.
go back to reference Patterson C. World Alzheimer Report 2018: The state of the art of dementia research: New frontiers. 2018. Patterson C. World Alzheimer Report 2018: The state of the art of dementia research: New frontiers. 2018.
2.
go back to reference Rajan KB, Weuve J, Barnes LL, McAninch EA, Wilson RS, Evans DA. Population estimate of people with clinical Alzheimer’s disease and mild cognitive impairment in the United States (2020–2060). Alzheimers Dement J Alzheimers Assoc. 2021;17:1966–75. https://doi.org/10.1002/alz.12362.CrossRef Rajan KB, Weuve J, Barnes LL, McAninch EA, Wilson RS, Evans DA. Population estimate of people with clinical Alzheimer’s disease and mild cognitive impairment in the United States (2020–2060). Alzheimers Dement J Alzheimers Assoc. 2021;17:1966–75. https://​doi.​org/​10.​1002/​alz.​12362.CrossRef
5.
go back to reference Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, et al. Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement J Alzheimers Assoc. 2011;7:280–92. https://doi.org/10.1016/j.jalz.2011.03.003.CrossRef Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, et al. Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement J Alzheimers Assoc. 2011;7:280–92. https://​doi.​org/​10.​1016/​j.​jalz.​2011.​03.​003.CrossRef
8.
go back to reference Paruthi S, Brooks LJ, D’Ambrosio C, Hall WA, Kotagal S, Lloyd RM, et al. Recommended Amount of Sleep for Pediatric Populations: A Consensus Statement of the American Academy of Sleep Medicine. J Clin Sleep Med JCSM Off Publ Am Acad Sleep Med. 2016;12:785–6. https://doi.org/10.5664/jcsm.5866.CrossRef Paruthi S, Brooks LJ, D’Ambrosio C, Hall WA, Kotagal S, Lloyd RM, et al. Recommended Amount of Sleep for Pediatric Populations: A Consensus Statement of the American Academy of Sleep Medicine. J Clin Sleep Med JCSM Off Publ Am Acad Sleep Med. 2016;12:785–6. https://​doi.​org/​10.​5664/​jcsm.​5866.CrossRef
9.
go back to reference Consensus Conference Panel, Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, et al. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. J Clin Sleep Med JCSM Off Publ Am Acad Sleep Med. 2015;(11):591–2. https://doi.org/10.5664/jcsm.4758.CrossRef Consensus Conference Panel, Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, et al. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. J Clin Sleep Med JCSM Off Publ Am Acad Sleep Med. 2015;(11):591–2. https://​doi.​org/​10.​5664/​jcsm.​4758.CrossRef
10.
go back to reference Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: developing normative sleep values across the human lifespan. Sleep. 2004;27:1255–73.CrossRefPubMed Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: developing normative sleep values across the human lifespan. Sleep. 2004;27:1255–73.CrossRefPubMed
11.
go back to reference Klaffke S, Staedt J. Sundowning and circadian rhythm disorders in dementia. Acta Neurol Belg. 2006;106:168–75.PubMed Klaffke S, Staedt J. Sundowning and circadian rhythm disorders in dementia. Acta Neurol Belg. 2006;106:168–75.PubMed
15.
go back to reference Ju Y-ES, Lucey BP, Holtzman DM. Sleep and Alzheimer disease pathology - a bidirectional relationship. Nat Rev Neurol. 2014;10:115–9.CrossRefPubMed Ju Y-ES, Lucey BP, Holtzman DM. Sleep and Alzheimer disease pathology - a bidirectional relationship. Nat Rev Neurol. 2014;10:115–9.CrossRefPubMed
18.
go back to reference Mander BA. Local Sleep and Alzheimer’s Disease Pathophysiology. Front Neurosci. 2020;14:525970. Mander BA. Local Sleep and Alzheimer’s Disease Pathophysiology. Front Neurosci. 2020;14:525970.
24.
go back to reference Blattner MS, Panigrahi SK, Toedebusch CD, Hicks TJ, McLeland JS, Banks IR, et al. Increased cerebrospinal fluid amyloid-β during sleep deprivation in healthy middle-aged adults is not due to stress or circadian disruption. J Alzheimers Dis JAD. 2020;75:471–82. https://doi.org/10.3233/JAD-191122.CrossRefPubMed Blattner MS, Panigrahi SK, Toedebusch CD, Hicks TJ, McLeland JS, Banks IR, et al. Increased cerebrospinal fluid amyloid-β during sleep deprivation in healthy middle-aged adults is not due to stress or circadian disruption. J Alzheimers Dis JAD. 2020;75:471–82. https://​doi.​org/​10.​3233/​JAD-191122.CrossRefPubMed
31.
go back to reference Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to Meta-Analysis. 2nd ed. Hoboken: Wiley; 2021.CrossRef Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to Meta-Analysis. 2nd ed. Hoboken: Wiley; 2021.CrossRef
32.
go back to reference Borenstein M. Common Mistakes in Meta-Analysis and How to Avoid Them. Englewood, NJ: Biostat Inc.; 2019. Borenstein M. Common Mistakes in Meta-Analysis and How to Avoid Them. Englewood, NJ: Biostat Inc.; 2019.
34.
go back to reference Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA. Cochrane Handbook for Systematic Reviews of Interventions Version 6.2 (updated February 2021). Cochrane. 2021. Available from: training.cochrane.org/handbook. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA. Cochrane Handbook for Systematic Reviews of Interventions Version 6.2 (updated February 2021). Cochrane. 2021. Available from: training.​cochrane.​org/​handbook.
42.
go back to reference Varga AW, Wohlleber ME, Giménez S, Romero S, Alonso JF, Ducca EL, et al. Reduced Slow-Wave Sleep Is Associated with High Cerebrospinal Fluid Aβ42 Levels in Cognitively Normal Elderly. Sleep. 2016. Varga AW, Wohlleber ME, Giménez S, Romero S, Alonso JF, Ducca EL, et al. Reduced Slow-Wave Sleep Is Associated with High Cerebrospinal Fluid Aβ42 Levels in Cognitively Normal Elderly. Sleep. 2016.
62.
go back to reference Aurora RN, Zak RS, Karippot A, Lamm CI, Morgenthaler TI, Auerbach SH, et al. Practice parameters for the respiratory indications for polysomnography in children. Sleep. 2011;34:379–88.CrossRefPubMedPubMedCentral Aurora RN, Zak RS, Karippot A, Lamm CI, Morgenthaler TI, Auerbach SH, et al. Practice parameters for the respiratory indications for polysomnography in children. Sleep. 2011;34:379–88.CrossRefPubMedPubMedCentral
63.
go back to reference Smith MT, McCrae CS, Cheung J, Martin JL, Harrod CG, Heald JL, et al. Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. n.d.;14:1231–7. https://doi.org/10.5664/jcsm.7230. Smith MT, McCrae CS, Cheung J, Martin JL, Harrod CG, Heald JL, et al. Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. n.d.;14:1231–7. https://​doi.​org/​10.​5664/​jcsm.​7230.
64.
go back to reference Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, et al. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. n.d.;13:479–504. https://doi.org/10.5664/jcsm.6506. Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, et al. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. n.d.;13:479–504. https://​doi.​org/​10.​5664/​jcsm.​6506.
65.
74.
go back to reference Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261:921–3.CrossRefPubMed Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261:921–3.CrossRefPubMed
Metadata
Title
Sleep duration, sleep efficiency, and amyloid β among cognitively healthy later-life adults: a systematic review and meta-analysis
Authors
Chooza Moon
Aaron Schneider
Young-Eun Cho
Meina Zhang
Hellen Dang
Kelly Vu
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2024
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-024-05010-4

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