Self-reported versus actigraphy-assessed sleep duration in the ELSA-Brasil study: analysis of the short/long sleep duration reclassification

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art_SANTOS_Selfreported_versus_actigraphyassessed_sleep_duration_in_the_ELSABrasil_2022.PDF (1.18 MB)
Citações na Scopus
1
Tipo de produção
article
Data de publicação
2022
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
SPRINGER HEIDELBERG
Autores
ALENCAR, Airlane P.
Citação
SLEEP AND BREATHING, v.26, n.3, p.1437-1445, 2022
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Purpose This study was aimed to determine the magnitude and predictors of self-reported short/long sleep duration (SDUR) reclassifications using objective measurements. Methods Adult participants from the ELSA-Brasil study performed self-reported SDUR, 7-day wrist actigraphy, and a portable sleep study. We explored two strategies of defining self-reported SDUR reclassification: (1) short and long SDUR defined by <6 and >= 8h, respectively; (2) reclassification using a large spectrum of SDUR categories (<5, 5-6, 7-8, 8-9, and >9 h). Results Data from 2036 participants were used in the final analysis (43% males; age: 49 +/- 8 years). Self-reported SDUR were poorly correlated (r=0.263) and presented a low agreement with actigraphy-based total sleep time. 58% of participants who self-reported short SDUR were reclassified into the reference (6-7.99 h) or long SDUR groups using actigraphy data. 88% of participants that self-reported long SDUR were reclassified into the reference and short SDUR. The variables independently associated with higher likelihood of self-reported short SDUR reclassification included insomnia (3.5-fold), female (2.5-fold), higher sleep efficiency (1.35-fold), lowest O-2 saturation (1.07-fold), higher wake after sleep onset (1.08-fold), and the higher number of awakening (1.05-fold). The presence of hypertension was associated with a 3.4-fold higher chance of self-reported long SDUR reclassification. Analysis of five self-reported SDUR categories revealed that the more extreme is the SDUR, the greater the self-reported SDUR reclassification. Conclusion In adults, we observed a significant rate of short/long SDUR reclassifications when comparing self-reported with objective data. These results underscore the need to reappraise subjective data use for future investigations addressing SDUR.
Palavras-chave
Sleep duration, Epidemiology, Self-reported, Actigraphy, Measurement error
URI
https://observatorio.fm.usp.br/handle/OPI/49127
Referências
  1. Aielo AN, 2019, SLEEP SCI, V12, P65, DOI 10.5935/1984-0063.20190072
  2. Aquino EML, 2012, AM J EPIDEMIOL, V175, P315, DOI 10.1093/aje/kwr294
  3. Berry RB, 2012, J CLIN SLEEP MED, V8, P597, DOI 10.5664/jcsm.2172
  4. Buxton OM, 2010, SOC SCI MED, V71, P1027, DOI 10.1016/j.socscimed.2010.05.041
  5. Campanini MZ, 2017, SLEEP MED, V35, P27, DOI 10.1016/j.sleep.2017.04.004
  6. Cespedes EM, 2016, AM J EPIDEMIOL, V183, P561, DOI 10.1093/aje/kwv251
  7. Chaput JP, 2008, SLEEP, V31, P517, DOI 10.1093/sleep/31.4.517
  8. Chen XL, 2015, SLEEP, V38, P877, DOI 10.5665/sleep.4732
  9. Chowdhuri S, 2016, AM J RESP CRIT CARE, V193, pE37, DOI 10.1164/rccm.201602-0361ST
  10. de Zambotti M, 2018, CHRONOBIOL INT, V35, P465, DOI 10.1080/07420528.2017.1413578
  11. Drager LF, 2019, CHEST, V155, P1190, DOI 10.1016/j.chest.2018.12.003
  12. Duarte RLM, 2022, SLEEP BREATH, V26, P641, DOI 10.1007/s11325-021-02438-5
  13. Gangwisch JE, 2014, AM J HYPERTENS, V27, P1235, DOI 10.1093/ajh/hpu071
  14. Gangwisch JE, 2006, HYPERTENSION, V47, P833, DOI 10.1161/01.HYP.0000217362.34748.e0
  15. Hall MH, 2008, SLEEP, V31, P635, DOI 10.1093/sleep/31.5.635
  16. Hirshkowitz M, 2015, SLEEP HEALTH, V1, P40, DOI 10.1016/j.sleh.2014.12.010
  17. Ikehara S, 2009, SLEEP, V32, P295, DOI 10.1093/sleep/32.3.295
  18. Jackson CL, 2020, SLEEP, V43, DOI 10.1093/sleep/zsz246
  19. Jackson CL, 2013, DIABETES CARE, V36, P3557, DOI 10.2337/dc13-0777
  20. Kurina LM, 2013, ANN EPIDEMIOL, V23, P361, DOI 10.1016/j.annepidem.2013.03.015
  21. Lauderdale DS, 2008, EPIDEMIOLOGY, V19, P838, DOI 10.1097/EDE.0b013e318187a7b0
  22. Lockley SW, 1999, J SLEEP RES, V8, P175, DOI 10.1046/j.1365-2869.1999.00155.x
  23. Martin JL, 2011, CHEST, V139, P1514, DOI 10.1378/chest.10-1872
  24. Matthews KA, 2018, SLEEP HEALTH, V4, P96, DOI 10.1016/j.sleh.2017.10.011
  25. Mccall C, 2012, J SLEEP RES, V21, P122, DOI 10.1111/j.1365-2869.2011.00917.x
  26. Medic G, 2017, NAT SCI SLEEP, V9, P151, DOI 10.2147/NSS.S134864
  27. Nunes MA, 2011, REV HCPA, V31, P487
  28. Schokman A, 2018, SLEEP HEALTH, V4, P543, DOI 10.1016/j.sleh.2018.08.008
  29. Seravalle G, 2018, CURR HYPERTENS REP, V20, DOI 10.1007/s11906-018-0874-y
  30. Svensson T, 2019, J PSYCHOSOM RES, V126, DOI 10.1016/j.jpsychores.2019.109822
  31. Vgontzas AN, 2013, SLEEP MED REV, V17, P241, DOI 10.1016/j.smrv.2012.09.005

Coleções
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - HC/InCor
Artigos e Materiais de Revistas Científicas - HU
Artigos e Materiais de Revistas Científicas - LIM/20
Artigos e Materiais de Revistas Científicas - LIM/63