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ORIGINAL RESEARCH

Associations of Baseline Sleep Microarchitecture with Cognitive Function After 8 Years in Middle-Aged and Older Men from a Community-Based Cohort Study

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Pages 389-406 | Received 10 Jan 2023, Accepted 17 May 2023, Published online: 24 May 2023

References

  • Murman DL. The Impact of Age on Cognition. Semin Hear. 2015;36(3):111–121. doi:10.1055/s-0035-1555115
  • Benjafield AV, Ayas NT, Eastwood PR, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med. 2019;7(8):687–698. doi:10.1016/S2213-2600(19)30198-5
  • Parker JL, Appleton SL, Melaku YA, et al. Sleep macroarchitecture but not obstructive sleep apnea is independently associated with cognitive function in only older men of a population-based cohort. J Sleep Res. 2021;30:e13370. doi:10.1111/jsr.13370
  • Bucks RS, Olaithe M, Eastwood P. Neurocognitive function in obstructive sleep apnoea: a meta-review. Respirology. 2013;18(1):61–70. doi:10.1111/j.1440-1843.2012.02255.x
  • D’Rozario AL, Cross NE, Vakulin A, et al. Quantitative electroencephalogram measures in adult obstructive sleep apnea - Potential biomarkers of neurobehavioural functioning. Sleep Med Rev. 2017;36:29–42. doi:10.1016/j.smrv.2016.10.003
  • Parker JL, Appleton SL, Melaku YA, et al. The association between sleep microarchitecture and cognitive function in middle-aged and older men: a community-based cohort study. J Clin Sleep Med. 2022;18:1593–1608. doi:10.5664/jcsm.9934
  • D’Rozario AL, Chapman JL, Phillips CL, et al. Objective measurement of sleep in mild cognitive impairment: a systematic review and meta-analysis. Sleep Med Rev. 2020;52:101308. doi:10.1016/j.smrv.2020.101308
  • Luckhaus C, Grass-Kapanke B, Blaeser I, et al. Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study. Int J Geriatr Psychiatry. 2008;23(11):1148–1155. doi:10.1002/gps.2042
  • Jelic V, Johansson SE, Almkvist O, et al. Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer’s disease. Neurobiol Aging. 2000;21(4):533–540. doi:10.1016/s0197-4580(00)00153-6
  • Prichep LS, John ER, Ferris SH, et al. Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging. Neurobiol Aging. 2006;27(3):471–481. doi:10.1016/j.neurobiolaging.2005.07.021
  • Hamilton CA, Schumacher J, Matthews F, et al. Slowing on quantitative EEG is associated with transition to dementia in mild cognitive impairment. Int Psychogeriatr. 2021;33(12):1321–1325. doi:10.1017/S1041610221001083
  • Djonlagic I, Aeschbach D, Harrison SL, et al. Associations between quantitative sleep EEG and subsequent cognitive decline in older women. J Sleep Res. 2019;28(3):e12666. doi:10.1111/jsr.12666
  • Martin N, Lafortune M, Godbout J, et al. Topography of age-related changes in sleep spindles. Neurobiol Aging. 2013;34(2):468–476. doi:10.1016/j.neurobiolaging.2012.05.020
  • Crowley K, Trinder J, Kim Y, Carrington M, Colrain IM. The effects of normal aging on sleep spindle and K-complex production. Clin Neurophysiol. 2002;113(10):1615–1622. doi:10.1016/s1388-2457(02)00237-7
  • Taillard J, Sagaspe P, Berthomier C, et al. Non-REM sleep characteristics predict early cognitive impairment in an aging population. Front Neurol. 2019;10:197. doi:10.3389/fneur.2019.00197
  • Fernandez LMJ, Luthi A. Sleep spindles: mechanisms and functions. Physiol Rev. 2020;100(2):805–868. doi:10.1152/physrev.00042.2018
  • Purcell SM, Manoach DS, Demanuele C, et al. Characterizing sleep spindles in 11,630 individuals from the national sleep research resource. Nat Commun. 2017;8:15930. doi:10.1038/ncomms15930
  • Lloret MA, Cervera-Ferri A, Nepomuceno M, Monllor P, Esteve D, Lloret A. Is sleep disruption a cause or consequence of Alzheimer. s disease? Reviewing its possible role as a biomarker. Int J Mol Sci. 2020;21(3):doi:10.3390/ijms21031168.
  • Gorgoni M, Lauri G, Truglia I, et al. Parietal fast sleep spindle density decrease in Alzheimer’s disease and amnesic mild cognitive impairment. Neural Plast. 2016;2016:8376108. doi:10.1155/2016/8376108
  • Legdeur N, Heymans MW, Comijs HC, Huisman M, Maier AB, Visser PJ. Age dependency of risk factors for cognitive decline. BMC Geriatr. 2018;18(1):187. doi:10.1186/s12877-018-0876-2
  • Knopman D, Boland LL, Mosley T, et al. Cardiovascular risk factors and cognitive decline in middle-aged adults. Neurology. 2001;56(1):42–48. doi:10.1212/wnl.56.1.42
  • Martin S, Haren M, Taylor A, Middleton S, Wittert G. Cohort profile: the Florey Adelaide Male Ageing Study (FAMAS). Int J Epidemiol. 2007;36(2):302–306. doi:10.1093/ije/dyl279
  • Martin SA, Haren MT, Middleton SM, Wittert GA. Members of the Florey Adelaide male Ageing S. The Florey Adelaide Male Ageing Study (FAMAS): design, procedures & participants. BMC Public Health. 2007;7:126. doi:10.1186/1471-2458-7-126
  • Adams R, Appleton S, Taylor A, McEvoy D, Wittert G. Are the ICSD-3 criteria for sleep apnoea syndrome too inclusive? Lancet Respir Med. 2016;4(5):e19–20. doi:10.1016/S2213-2600(16)00109-0
  • Grant JF, Martin SA, Taylor AW, et al. Cohort profile: the men androgen inflammation lifestyle environment and stress (MAILES) study. Int J Epidemiol. 2014;43(4):1040–1053. doi:10.1093/ije/dyt064
  • Parker JL, Melaku YA, D. Rozario AL, et al. The association between obstructive sleep apnea and sleep spindles in middle-aged and older men: a community-based cohort study. Sleep. 2021;30. doi:10.1093/sleep/zsab282
  • Ruehland WR, Rochford PD, O. Donoghue FJ, Pierce RJ, Singh P, Thornton AT. The new AASM criteria for scoring hypopneas: impact on the apnea hypopnea index. Sleep. 2009;32(2):150–157. doi:10.1093/sleep/32.2.150
  • ASTA/ASA. Commentary on AASM manual for the scoring of sleep and associated events; 2010. Available from: http://www.sleep.org.au/information/sleep-documents/astaasa-commentary-on-aasm-manual-for-scoring-of-sleep-associated-events-december-2010. Accessed May 18, 2023.
  • D. Rozario AL, Dungan GC 2nd, Banks S, et al. An automated algorithm to identify and reject artefacts for quantitative EEG analysis during sleep in patients with sleep-disordered breathing. Sleep Breath. 2015;19(2):607–615. doi:10.1007/s11325-014-1056-z
  • Vakulin A, D. Rozario A, Kim JW, et al. Quantitative sleep EEG and polysomnographic predictors of driving simulator performance in obstructive sleep apnea. Clin Neurophysiol. 2016;127(2):1428–1435. doi:10.1016/j.clinph.2015.09.004
  • Lam A, Haroutonian C, Grummitt L, et al. Sleep-dependent memory in older people with and without MCI: the relevance of sleep microarchitecture, OSA, hippocampal subfields, and episodic memory. Cereb Cortex. 2021;31(6):2993–3005. doi:10.1093/cercor/bhaa406
  • D. Rozario AL, Hoyos CM, Wong KKH, et al. Improvements in cognitive function and quantitative sleep electroencephalogram in obstructive sleep apnea after six months of continuous positive airway pressure treatment. Sleep. 2022;45(6). doi:10.1093/sleep/zsac013
  • Salthouse TA, Toth J, Daniels K, et al. Effects of aging on efficiency of task switching in a variant of the trail making test. Neuropsychology. 2000;14(1):102–111. doi:10.1037/0894-4105.14.1.102
  • Salthouse TA. What cognitive abilities are involved in trail-making performance? Intelligence. 2011;39(4):222–232. doi:10.1016/j.intell.2011.03.001
  • Tombaugh TN. Trail Making Test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004;19(2):203–214. doi:10.1016/S0887-6177(03)00039-8
  • Mitchell AJ. A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. J Psychiatr Res. 2009;43(4):411–431. doi:10.1016/j.jpsychires.2008.04.014
  • Arevalo-Rodriguez I, Smailagic N, Roque-Figuls M, et al. Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI). Cochrane Database Syst Rev. 2021;7:CD010783. doi:10.1002/14651858.CD010783.pub3
  • Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ. Alzheimer’s Disease Neuroimaging I. Relationship between the Montreal cognitive assessment and mini-mental state examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015;15:107. doi:10.1186/s12877-015-0103-3
  • Statistics ABo. 2033.0.55.001- Census of Population and Housing. Australia: Socio-Economic Indexes for Areas (SEIFA); 2016. Available from: http://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/2033.0.55.001~2016~Main%20Features~IRSD~19. Accessed October 14, 2020.
  • Lang CJ, Appleton SL, Vakulin A, et al. Co-morbid OSA and insomnia increases depression prevalence and severity in men. Respirology. 2017;22(7):1407–1415. doi:10.1111/resp.13064
  • Chobanian AV, Bakris GL, Black HR, et al. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289(19):2560–2572. doi:10.1001/jama.289.19.2560
  • Nuttall FQ. Body mass index: obesity, BMI, and health: a critical review. Nutr Today. 2015;50(3):117–128. doi:10.1097/NT.0000000000000092
  • Saint Martin M, Sforza E, Thomas-Anterion C, Barthélémy JC, Roche F, Group PS. Baroreflex sensitivity, vascular risk factors, and cognitive function in a healthy elderly population: the PROOF cohort. J Am Geriatr Soc. 2013;61(12):2096–2102. doi:10.1111/jgs.12548
  • Martin MS, Sforza E, Roche F, Barthelemy JC, Thomas-Anterion C; Group Ps. Sleep breathing disorders and cognitive function in the elderly: an 8-year follow-up study. the proof-synapse cohort. Sleep. 2015;38(2):179–187. doi:10.5665/sleep.4392
  • Ramos AR, Tarraf W, Wu B, et al. Sleep and neurocognitive decline in the Hispanic community health study/study of latinos. Alzheimers Dement. 2020;16(2):305–315. doi:10.1016/j.jalz.2019.08.191
  • Reijmer YD, van den Berg E, Dekker JM, et al. The metabolic syndrome, atherosclerosis and cognitive functioning in a non-demented population: the Hoorn Study. Atherosclerosis. 2011;219(2):839–845. doi:10.1016/j.atherosclerosis.2011.08.032
  • Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008;3:17. doi:10.1186/1751-0473-3-17
  • Okamoto S. Socioeconomic factors and the risk of cognitive decline among the elderly population in Japan. Int J Geriatr Psychiatry. 2019;34(2):265–271. doi:10.1002/gps.5015
  • Dye L, Boyle NB, Champ C, Lawton C. The relationship between obesity and cognitive health and decline. Proc Nutr Soc. 2017;76(4):443–454. doi:10.1017/S0029665117002014
  • Althouse AD. Adjust for multiple comparisons? It’s not that simple. Ann Thorac Surg. 2016;101(5):1644–1645. doi:10.1016/j.athoracsur.2015.11.024
  • Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1(1):43–46. doi:10.1097/00001648-199001000-00010
  • Westerberg CE, Mander BA, Florczak SM, et al. Concurrent impairments in sleep and memory in amnestic mild cognitive impairment. J Int Neuropsychol Soc. 2012;18(3):490–500. doi:10.1017/S135561771200001X
  • Brayet P, Petit D, Frauscher B, et al. Quantitative EEG of rapid-eye-movement sleep: a marker of amnestic mild cognitive impairment. Clin EEG Neurosci. 2016;47(2):134–141. doi:10.1177/1550059415603050
  • Djonlagic I, Mariani S, Fitzpatrick AL, et al. Macro and micro sleep architecture and cognitive performance in older adults. Nat Hum Behav. 2021;5(1):123–145. doi:10.1038/s41562-020-00964-y
  • Raicher I, Takahashi DY, Kanda PAM, Nitrini R, Anghinah R. qEEG spectral peak in Alzheimer. s disease: a possible tool for treatment follow-up. Dement Neuropsychol. 2008;2(1):9–12. doi:10.1590/S1980-57642009DN20100003
  • Carrier J, Land S, Buysse DJ, Kupfer DJ, Monk TH. The effects of age and gender on sleep EEG power spectral density in the middle years of life (ages 20–60 years old). Psychophysiology. 2001;38(2):232–242. doi:10.1111/1469-8986.3820232
  • Petit D, Gagnon JF, Fantini ML, Ferini-Strambi L, Montplaisir J. Sleep and quantitative EEG in neurodegenerative disorders. J Psychosom Res. 2004;56(5):487–496. doi:10.1016/j.jpsychores.2004.02.001
  • Landolt HP, Dijk DJ, Achermann P, Borbely AA. Effect of age on the sleep EEG: slow-wave activity and spindle frequency activity in young and middle-aged men. Brain Res. 1996;738(2):205–212. doi:10.1016/s0006-8993(96)00770-6
  • Munch M, Silva EJ, Ronda JM, Czeisler CA, Duffy JF. EEG sleep spectra in older adults across all circadian phases during NREM sleep. Sleep. 2010;33(3):389–401. doi:10.1093/sleep/33.3.389
  • Cornelis MC, Wang Y, Holland T, Agarwal P, Weintraub S, Morris MC. Age and cognitive decline in the UK Biobank. PLoS One. 2019;14(3):e0213948. doi:10.1371/journal.pone.0213948
  • Eisma YB, de Winter J. How do people perform an inspection time task? An examination of visual illusions, task experience, and blinking. J Cogn. 2020;3(1):34. doi:10.5334/joc.123
  • Waki T, Tanaka-Mizuno S, Takashima N, et al. Waist circumference and domain-specific cognitive function among non-demented Japanese older adults stratified by sex: results from the Takashima cognition study. J Alzheimers Dis. 2020;73(3):887–896. doi:10.3233/JAD-190395
  • Smith E, Bailey PE, Crawford J, et al. Adiposity estimated using dual energy X-ray absorptiometry and body mass index and its association with cognition in elderly adults. J Am Geriatr Soc. 2014;62(12):2311–2318. doi:10.1111/jgs.13157