Subjective reports versus objective measurement of sleep latency and sleep duration in pregnancy

Wilson, Danielle L.; Fung, Alison; Walker, Susan P.; Barnes, Maree

doi:10.1080/15402002.2012.670674

Cited by 52Sleep and related disordersSleep and Wakefulness ResearchMaternal Mental Health During Pregnancy and Postpartum

Subjective reports versus objective measurement of sleep latency and sleep duration in pregnancy

Wilson, Danielle L., Fung, Alison, Walker, Susan P., Barnes, Maree·2013·Behavioral Sleep Medicine

DOI 10.1080/15402002.2012.670674

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Abstract

This study compared self-reported sleep latency (SL) and total sleep time (TST) to objective measures on polysomnography (PSG) during pregnancy. Thirty-three women in the third trimester (T3) of pregnancy, 16 women in the first trimester (T1) of pregnancy, and 15 non-pregnant women underwent overnight PSG, and shortly after awakening reported their perceived SL and TST. Results showed that, on average, the T3 group slightly overestimated their TSTs, whereas the T1 and non-pregnant groups underestimated TSTs when compared with objective measurement. All groups overestimated SL, and perceived SL was closest to the first epoch of 10 min of uninterrupted sleep or the first epoch of slow-wave sleep, rather than the first epoch of sleep (the current definition used for diagnostic sleep studies). The wide variation in discrepancies between estimation and PSG measurement for both TST and SL shows that self-reports made by both pregnant and non-pregnant women tend to be unreliable, which has important implications both clinically and for the many studies based on self-reported sleep patterns in pregnancy.

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Although objective measures such as polysomnography provide the most accurate way to assess sleep, there is evidence that subjectively measured sleep variables could be more closely associated with functional outcomes.
“Although objective measures such as polysomnography provide the most accurate way to assess sleep, there is evidence that subjectively measured sleep variables could be more closely associated with functional outcomes.51”
From Pilot evaluation of the Sleep Ninja: A smartphone application for adolescent insomnia symptoms (2019) · cites this paper as [51]

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Authors: Wilson, D. L., Fung, A., Walker, S. P., & Barnes, M.
Affiliations: La Trobe University (AU)
Mercy Hospital for Women (AU)
The University of Melbourne (AU)
ORCID: Wilson, Danielle L.
Walker, Susan P.
Venue: Behavioral Sleep Medicine
Publisher: Informa UK Limited
Published: 2013-07
Volume: 11
Issue: 3
Pages: 207-221
ISSN: 1540-2002 (ISSN-L)
1540-2010
DOI: 10.1080/15402002.2012.670674
OpenAlex: W2037024294
Cited by: 52
References: 48
Citations by year: 2026: 1 · 2025: 5 · 2024: 6 · 2023: 5 · 2022: 5 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 6 · 2015: 5 · 2014: 2 · 2013: 4
FWCI: 4.71
Type: journal article
Language: en
Open access: closed
Locations: Behavioral Sleep Medicine (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
Keywords: sleep latency, total sleep time, pregnancy, self-reported sleep, subjective sleep measures, polysomnography, third trimester, first trimester, slow-wave sleep
MeSH terms: Adult, Female, Humans, Pregnancy, Pregnancy Trimester, First, Pregnancy Trimester, Third, Sleep, Polysomnography, Self Report

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Subjective reports versus objective measurement of sleep latency and sleep duration in pregnancy

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