1210 Employment Status and Work Shift Associated with Endorsement of Sleep Disorders Symptoms: Data from the Online Sleep Health Screening Project

Abstract Introduction While shift work is linked to sleep disruption, less is known about the impact specific work characteristics on clinical sleep symptoms. We examined whether employment status and schedule were associated with different sleep disorder symptom reports. Methods Participants completed an online sleep health screener that is posted online and available to the public (https://sleephealthscreen.com). This consists of the Sleep Disorders Symptom Check List (SDSCL), which includes 25 items related to sleep disorder symptoms, rated as “Never,” “Once a month,” “1-2 times a week,” “3-4 times a week,” or “5-7 times a week.” Employment and work shift was addressed with an item where respondents indicated whether they primarily worked a day shift (9am-5am), morning shift (4am-12pm), night shift (12am-8am), multiple shifts, if they worked from home, if they were retired, or if they were unemployed. All responses are anonymous. All consecutive responses to the questionnaire were included, following cleaning for duplicate and invalid entries. Ordinal regression analyses were adjusted for age, sex, race/ethnicity, work hours, and presence of a bed partner. Results A total of 3,091 individuals provided complete data. Compared to people who generally work a day shift (9am-5am), those working morning hours (4am-12pm) were more likely to endorse insufficient sleep, irregularity, and phase advance. Those working night shift (12am-8am) were more likely to report difficulty falling asleep and early morning awakenings, more fatigue, and more interference with functioning. They were less likely to report bruxism. Those who report that they primarily work from home were less likely to endorse insufficient sleep but more likely to report difficulty falling asleep and staying asleep and early morning awakenings, more fatigue, sleepiness, dry mouth, breathing pauses, gasping, uncomfortable sensations in legs, urge to move legs, frequent awakenings, and more interference with functioning. Those working multiple shifts across the day reported more bruxism. Retired individuals were more likely to report insufficient sleep. Conclusion Although night shift work has become recognized as having adverse impacts on sleep, more research is needed to explore whether working early morning hours and working from home adversely impact sleep health. Support (if any) R01MD011600, R01MH135978

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.1209
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

1210 Employment Status and Work Shift Associated with Endorsement of Sleep Disorders Symptoms: Data from the Online Sleep Health Screening Project

WD Killgore, Julie Flygare, Katherine Barlis, Michael Perlis et al.
SLEEP
Sleep and Work-Related Fatigue
article

1210 Employment Status and Work Shift Associated with Endorsement of Sleep Disorders Symptoms: Data from the Online Sleep Health Screening Project

WD Killgore, Julie Flygare, Katherine Barlis, Michael Perlis, Michael Grandner, Daniel Cohen
article en

Abstract

Abstract Introduction While shift work is linked to sleep disruption, less is known about the impact specific work characteristics on clinical sleep symptoms. We examined whether employment status and schedule were associated with different sleep disorder symptom reports. Methods Participants completed an online sleep health screener that is posted online and available to the public (https://sleephealthscreen.com). This consists of the Sleep Disorders Symptom Check List (SDSCL), which includes 25 items related to sleep disorder symptoms, rated as “Never,” “Once a month,” “1-2 times a week,” “3-4 times a week,” or “5-7 times a week.” Employment and work shift was addressed with an item where respondents indicated whether they primarily worked a day shift (9am-5am), morning shift (4am-12pm), night shift (12am-8am), multiple shifts, if they worked from home, if they were retired, or if they were unemployed. All responses are anonymous. All consecutive responses to the questionnaire were included, following cleaning for duplicate and invalid entries. Ordinal regression analyses were adjusted for age, sex, race/ethnicity, work hours, and presence of a bed partner. Results A total of 3,091 individuals provided complete data. Compared to people who generally work a day shift (9am-5am), those working morning hours (4am-12pm) were more likely to endorse insufficient sleep, irregularity, and phase advance. Those working night shift (12am-8am) were more likely to report difficulty falling asleep and early morning awakenings, more fatigue, and more interference with functioning. They were less likely to report bruxism. Those who report that they primarily work from home were less likely to endorse insufficient sleep but more likely to report difficulty falling asleep and staying asleep and early morning awakenings, more fatigue, sleepiness, dry mouth, breathing pauses, gasping, uncomfortable sensations in legs, urge to move legs, frequent awakenings, and more interference with functioning. Those working multiple shifts across the day reported more bruxism. Retired individuals were more likely to report insufficient sleep. Conclusion Although night shift work has become recognized as having adverse impacts on sleep, more research is needed to explore whether working early morning hours and working from home adversely impact sleep health. Support (if any) R01MD011600, R01MH135978

SLEEPVol. 49(Supplement_1)
University of Arizona (US), Sleep Research Society (US), California University of Pennsylvania (US)
Decent work and economic growth
Openalex Percentile: Top 7%
Sleep and Work-Related Fatigue
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.