Dubious bargain: trading sleep for Leno and Letterman
Open accessAbstract
STUDY OBJECTIVES: Sleeping less than 7 hours daily impairs alertness and is associated with increased obesity, morbidity, and mortality; yet up to 40% of US adults do so. Population data indicate work time is the primary activity reciprocally related to sleep time in the United States. Reducing work time and its economic benefits to increase sleep time may not be feasible for most of the population. We sought to identify waking activities under discretionary control and adjacent to the sleep period that would be a more feasible source for increasing sleep time. DESIGN/PARTICIPANTS: American Time Use Survey data from 21,475 respondents aged > or = 15 years were pooled for the years 2003-2006 to explore activities in 2-hour periods prior to going to bed and past getting up on weekdays. INTERVENTIONS: N/A. RESULTS: Long workers (> or = 8 hours) terminated bed time an average of 0.68 h earlier than short workers (< 8 hours, P < 0.0001) and 1.31 h earlier than respondents not working on the interview day (P < 0.001), but time of going to bed did not differ among groups (22:37 vs. 22:42 vs. 22:37, respectively, P = 0.385). Watching television was the primary activity people engaged in before going to bed, accounting for 55.6 min (46.3%) of the 2-h pre-bed period. In the morning, travel time and work time increased steadily toward the end of the post-awakening 2-h period, accounting for 14.8% and 12.3%, respectively. CONCLUSIONS: Watching television may be an important social Zeitgeber for the time of going to bed. Watching less television in the evening and postponing work start time in the morning appear to be the candidate behavioral changes for achieving additional sleep. While the timing of work may not be flexible, giving up some TV viewing in the evening should be possible to reduce chronic sleep debt and promote adequate sleep in those who need it.
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Written from the paper’s full text.
TL;DR
Using 2003–2006 American Time Use Survey data, Basner and Dinges find that television viewing dominates the 2-hour pre-bed period and that long workers go to bed at similar times as others but get up earlier. They conclude that exchanging evening TV time for an earlier bedtime may be a more feasible way to increase sleep than reducing work time.
Key findings
- Long workers (≥8 h) spent 7 h 32 min in bed, short workers (<8 h) 8 h 07 min, and nonworkers 8 h 50 min; the difference was due to earlier getting up (6:09 vs. 6:49 vs. 7:27, P < 0.0001), not earlier bedtime (22:37 vs. 22:42 vs. 22:37, P = 0.385).
- Watching TV was the primary pre-bed activity, accounting for 55.6 min (46.3%) of the 2-hour pre-bed period; 68.1% watched at least some TV, 38.2% had TV as the last waking activity before bed, and TV peaked 36 min before bedtime when 51.1% watched.
- Long workers watched only 2.6 min less TV than short workers (50.7 vs. 53.3 min, P = 0.0002) and 10.5 min less than nonworkers (50.7 vs. 61.1 min, P < 0.0001); pre-bed TV and time in bed were uncorrelated (Spearman rho 0.08, P < 0.001).
- In the morning, grooming was dominant (20.2%); travel time and work time increased toward the end of the post-awakening 2-hour period, accounting for 14.7 min (12.3%) and 17.7 min (14.8%), respectively, with commute time making up 7.5 min (50.9% of travel time).
Methods
- Pooled American Time Use Survey data from 2003–2006, restricted to weekday interviews (Monday 04:00 to Friday 04:00, excluding holidays or days preceding holidays), yielding 21,475 respondents aged ≥15 with identifiable bedtime and getting-up times.
- Defined “time in bed” from ATUS sleep categories; bedtime was the first time-in-bed period initiated between 18:00 and 04:00 followed by ≥2 continuous hours in bed, and getting-up time was the first wake period after 04:00 before 12:00 followed by ≥2 hours of continuous wakefulness.
- Analyzed waking activities in the 2 hours before bedtime and after getting up, using Census Bureau weights; median split by work on the interview day (no work N = 9,770; <8 h N = 5,589; ≥8 h N = 6,116), with Kruskal-Wallis tests and post hoc Mann-Whitney U-tests.
Limitations
- Stated: ATUS response rate was relatively low (52.1%); self-reported sleep overestimates physiological sleep; ATUS sleep times exceeded National Sleep Foundation 2005 weekday sleep times by 89 min (+21.7%); intermittent wakefulness within the night was counted as sleep; some long workers may be naturally shorter sleepers or resilient to sleep restriction; advancing TV viewing may not benefit late chronotypes/night owls.
- Evident from the text: the design is cross-sectional and observational, so it cannot establish whether reducing TV viewing would causally increase sleep, and “time in bed” is not an objective measure of physiological sleep.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 23 cited sources checked · 0 supported · 0 flagged
- Findingown data
Time of going to bed did not differ among long workers, short workers, and respondents not working on the interview day.
“but time of going to bed did not differ among groups (22:37 vs. 22:42 vs. 22:37, respectively, P = 0.385)”
- Also stated in: § RESUlTS · plain
“but not due to differences in time of going to bed (22:37 vs. 22:42 vs. 22:37, respectively, P = 0.385, Figure 1A)”
Quote in the paperSubstantial claim - Also stated in: § RESUlTS · plain
- Findingown data
Watching television was the primary activity in the 2-h pre-bed period, accounting for 55.6 min (46.3%) of that period.
“Watching television was the primary activity people engaged in before going to bed, accounting for 55.6 min (46.3%) of the 2-h pre-bed period.”
- Also stated in: § RESUlTS · plain
“watching television (TV) was the primary activity people engaged in before going to bed, accounting for 55.6 min (46.3%) of the 2-h pre-bed period (Table 2 and Figure 2A).”
Quote in the paperSubstantial claim - Also stated in: § RESUlTS · plain
- Findingown data
Long workers (≥8 h) terminated bed time earlier than short workers (<8 h) by an average of 40 min (0.68 h).
“Long workers (≥ 8 hours) terminated bed time an average of 0.68 h earlier than short workers (< 8 hours, P < 0.0001)”
- Also stated in: § RESUlTS · plain
“long workers terminating bed time an average of 40 min earlier than short workers (6:09 vs. 6:49, P < 0.0001, Figure 1B)”
Quote in the paperNot a substantial claim - Also stated in: § RESUlTS · plain
- Findingown data
Long workers (≥8 h) terminated bed time earlier than respondents not working on the interview day by an average of 78 min (1.31 h).
“and 1.31 h earlier than respondents not working on the interview day (P < 0.001)”
- Also stated in: § RESUlTS · plain
“and 78 min earlier than respondents not working on the interview day (6:09 vs. 7:27, P < 0.0001)”
Quote in the paperNot a substantial claim - Also stated in: § RESUlTS · plain
- Findingown data
Long workers watched an average of 2.6 min less TV in the 2 h pre-bed than short workers.
“Prior to bed time, long workers watched an average of 2.6 min less TV than short workers (50.7 vs. 53.3min, P = 0.0002)”
Quote in the paperNot a substantial claim
- Findingown data
Long workers watched an average of 10.5 min less TV in the 2 h pre-bed than respondents not working.
“and 10.5 min less than respondents not working (50.7 vs. 61.1 min, P < 0.0001).”
Quote in the paperNot a substantial claim - Findingown data
Time in bed and amount of TV watched in the 2 h pre-bed were uncorrelated.
“Time in bed and the amount of TV watched in the 2 h pre-bed were uncorrelated (Spearman rho 0.08, P < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
In 38.2% of respondents, watching TV was the last waking activity before going to bed.
“In 38.2% of respondents, watching TV was the last waking activity before going to bed.”
Quote in the paperNot a substantial claim - Findingcitation
Average ATUS nighttime bed times in the sample (8 h 17 min) exceeded average NSF weekday sleep times (6 h 48 min) by 89 min (+21.7%).
“If compared to the National Sleep Foundation's (NSF) 2005 Sleep in America poll, 2 average ATUS nighttime bed times in our sample (8 h 17 min) exceeded average NSF weekday sleep times (6 h 48 min) by 89 min (+21.7%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2]
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- Findingown data
68.1% of respondents watched at least some TV in the 2 h before bed.
“A total of 68.1% of respondents watched at least some TV in the 2 h prebed”
Quote in the paperNot a substantial claim - Findingown data
Respondents living in EST and PST time zones went to bed on average 9 minutes later than respondents living in CST and MST time zones.
“Respondents living in EST and PST time zones went to bed on average 9 minutes later than respondents living in CST and MST time zones (22:42 vs. 22:33, P < 0.0001).”
Quote in the paperNot a substantial claim - Premisecitation
Work time is the primary activity reciprocally related to sleep time in the United States.
“In a recent analysis of time use in the US, we found that work time was the primary activity that had a reciprocal relationship to sleep time.10”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10]
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- Premisecitation
Up to 40% of US adults sleep less on weekdays than the 7 to 8 hours thought needed by the majority to maintain behavioral alertness and avoid sleepiness-related risks.
“CURRENT ESTIMATES INDICATE THAT 20% 1 TO 40% 2 OF THE ADULT US POPULATION SLEEP LESS ON WEEK-DAY NIGHTS THAN THE 7 TO 8 HOURS THOUGHT TO be needed by the majority of people to maintain behavioral alertness and avoid sleepiness-related risks of errors and accidents.3,4”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [1]
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- Premisecitation
Subjectively assessed sleep time usually overestimates physiologically measured sleep duration.
“Subjectively assessed sleep time usually overestimates physiologically measured sleep duration.5,6”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5]
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- cites [6]
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- Premisecitation
Respondents in CST/MST time zones were 6.4 percentage points less likely to be watching TV between 23:00 and 23:15 than the 17% of respondents who watched TV at that time in EST/PST time zones.
“Using 2003 and 2004 ATUS data, Hamermesh et al. 15 showed that respondents in CST/MST time zones were 6.4 percentage points less likely to be watching TV between 23:00 and 23:15 than the 17% of respondents who watched TV at that time in EST/PST time zones.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
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- Premisecitation
Total sleep time of subjects living in CST/MST time zones exceeded that of subjects living in EST/PST time zones by 15 min in the Sleep Heart Health Study.
“This finding replicates results by Silva et al., who were able to show with data from the Sleep Heart Health Study that total sleep time of subjects living in CST/MST time zones exceeded that of subjects living in EST/ PST time zones by 15 min (P = 0.010).5”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5]
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- Interpretationown data
Nighttime television has potent control over the behavioral timing of sleep onset for millions of Americans.
“While the human circadian clock is programmed biologically to entrain to the solar photoperiod, 16 our data suggest that nighttime television has potent control over the behavioral timing of sleep onset for millions of Americans”
Quote in the paperSubstantial claim - Interpretationreasoning
This exchange of evening television time for an earlier bedtime could be accomplished while still working the longer hours many Americans find necessary.
“This could be accomplished while still working the longer hours many Americans find necessary.”
Quote in the paperSubstantial claim- Rests on an assumption: The timing of work is not flexible for most people.
- Interpretationreasoning
Additional sleep time might be obtained by postponing the start of work or living closer to work, if the additional time is not used to further postpone bedtime in the evening.
“Therefore, additional sleep time might also be obtained by postponing the start of the work or living closer to work, if the additional time is not used to further postpone bedtime in the evening.”
Quote in the paperSubstantial claim - Interpretationown data
Watching TV in the evening is a very common behavior in both short and long sleepers.
“The finding that pre-bed TV and time in bed were uncorrelated stresses the fact that watching TV in the evening is a very common behavior in both short and long sleepers.”
Quote in the paperSubstantial claim - Interpretationreasoning
Television viewing is the primary external social Zeitgeber for bedtime.
“The hypothesis of television viewing as the primary external social Zeitgeber for bedtime is corroborated by the fact that respondents living in EST and PST time zones went to bed significantly later than respondents living in CST and MST time zones (22:42 vs. 22:33, P < 0.0001).”
Quote in the paperSubstantial claim- Rests on an assumption: Many prime time and late night shows are broadcast one hour later in EST/PST time zones than CST/MST time zones.
- Interpretationreasoning
The discretionary time use trade that would most likely increase sleep time in long workers is an exchange of evening television time for an earlier bedtime.
“In conclusion, time use surveys of Americans over 14 years of age suggest that the discretionary time use trade that would most likely increase sleep time in long workers is an exchange of evening television time for an earlier bedtime.”
Quote in the paperSubstantial claim- Rests on an assumption: Evening television viewing is under discretionary control.
- Interpretationreasoning
Television and alarm clocks are two social Zeitgebers bracketing sleep time for millions of people, especially those who work long hours.
“When considered with equally potent control over wake times by alarm clocks, these two social Zeitgebers-television and alarm clocks-are bracketing sleep time for millions of people, but especially for those who work long hours.”
Quote in the paperSubstantial claim - Premisecitation
The only way to reduce sleep debt and its neurobehavioral consequences is by increasing sleep time on weekends and days off.
“The only way to reduce sleep debt and its neurobehavioral consequences 3 is by increasing sleep time on weekends and days off, 10 although it is unknown precisely what duration of sleep and number of days of additional sleep are needed on non-work days to liquidate varying degrees of sleep debt.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3]
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- Interpretationown data
The difference in time in bed between work groups was due to long workers terminating bed time earlier, not to differences in time of going to bed.
“This difference in time in bed was due to long workers terminating bed time earlier, but not to differences in time of going to bed.”
Quote in the paperSubstantial claim
- May combine two claims. 13
- Classified as probably not a substantial claim. 9
May combine two claims.
Findingown dataTime in bed was 7 h 32 min for long workers, 8 h 07 min for short workers, and 8 h 50 min for nonworkers.
“Respondents who worked ≥ 8 h (i.e., long workers) spent on average 7 h 32 min in bed, while those who worked < 8 hours (i.e., short workers) spent on average 8 h 07 min in bed, and those who did not work on the interview day spent on average 8 h 50 min in bed (Table 1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationReduced sleep duration is associated with a higher prevalence of obesity, morbidity, and mortality, although causality is unclear.
“reduced sleep duration has frequently been associated with a higher prevalence of obesity, 7 morbidity, and mortality, 8,9 although it is unclear whether these relationships are causal.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7]
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- cites [8]
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- cites [9]
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Study design and conductnone givenIntermittent periods of wakefulness within the night were counted as sleep based on the definitions of time of going to bed and time of getting up.
“Additionally, based on our definitions of time of going to bed and time of getting up, intermittent periods of wakefulness within the night were counted as sleep.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenIt is unlikely that the overestimation of sleep time substantially biases the findings on waking activities in the 2-h periods before going to bed and after getting up.
“However, it is unlikely that the overestimation of sleep time substantially biases our findings on waking activities in the 2-h periods before going to bed and after getting up.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAverage crash rates for teen drivers in the study county in the 2 years after the change in school start time dropped 16.5%, compared with the 2 years prior, whereas teen crash rates for the rest of the state increased 7.8% over the same time period.
“Average crash rates for teen drivers in the study county in the 2 years after the change in school start time dropped 16.5%, compared with the 2 years prior to the change, whereas teen crash rates for the rest of the state increased 7.8% over the same time period.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19]
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InterpretationcitationThe effects of sunset and time zone on TV viewing were much less pronounced than the effect of early television start times, corroborating that TV is a more influential Zeitgeber than sunset time and time zone differences.
“Compared to this cue of early television start times, the effects of sunset (1 percentage point less TV for a 1-hour advance in sunset) and time zone (1.8 percentage points less TV for a 1-hour shift westward in time zone) were much less pronounced, corroborating the importance of TV as a more influential Zeitgeber than sunset time and time zones differences.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
Not checked in the free run.
- Rests on an assumption: Many prime time and late night shows are broadcast one hour later in EST/PST time zones than CST/MST time zones.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningGiving up some TV viewing in the evening should be possible to reduce chronic sleep debt and promote adequate sleep in those who need it.
“While the timing of work may not be flexible, giving up some TV viewing in the evening should be possible to reduce chronic sleep debt and promote adequate sleep in those who need it.”
Quote in the paperNot a substantial claim- Rests on an assumption: Evening television viewing is under discretionary control.
- Rests on an assumption: The timing of work is not flexible for most people.
May combine two claims.
InterpretationreasoningWatching less television in the evening and postponing work start time in the morning appear to be the candidate behavioral changes for achieving additional sleep.
“Watching less television in the evening and postponing work start time in the morning appear to be the candidate behavioral changes for achieving additional sleep.”
Quote in the paperSubstantial claim- Rests on an assumption: Evening television viewing is under discretionary control.
May combine two claims.
PremisecitationIn previous ATUS analysis, time spent watching TV was only moderately increased in very short sleepers (<5.5 h) and very long sleepers (>9.5 h), and practically unchanged in all other sleep time categories compared to reference (7.5 to 8.5 h).
“This was shown in our previous ATUS analysis, where time spent watching TV was only moderately increased in very short sleepers (< 5.5 h) and very long sleepers (> 9.5 h), and practically unchanged in all other sleep time categories compared to reference (7.5 to 8.5 h). 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10]
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May combine two claims.
Interpretationown dataLong workers could exchange more of their discretionary TV time for sleep time and reduce the 40 to 78 min time-in-bed gap between themselves and those who worked less and slept more.
“The fact that they averaged 50.7 min of TV viewing before bed suggests that they could exchange more of this discretionary TV time for sleep time, and reduce the 40 min to 78 min time in bed gap between themselves and those who worked less and slept more.”
Quote in the paperSubstantial claim- Rests on an assumption: Evening television viewing is under discretionary control.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe overall response rate of ATUS was 52.1%, which is relatively low.
“The overall response rate of 52.1% is relatively low, which may be partly explained by response fatigue, as ATUS respondents were drawn from households that completed their eighth and final month interviews for the Current Population Survey (CPS).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA 1-hour delay in high-school start times increased sleep duration and decreased extended sleep on weekends.
“A recent study by Danner et al. was able to demonstrate that a 1-hour delay in high-school start times increased sleep duration and decreased extended sleep on weekends.19”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19]
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PremisecitationRestricting television time to only 30 min per day advanced bed time and increased total sleep time significantly in university students, while no effects were observed in elderly people.
“They found that restricting television time to only 30 min per day advanced bed time and increased total sleep time significantly in university students, while no effects were observed in elderly people.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18]
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May combine two claims.
Interpretationown dataTelevision viewing before bedtime is remarkably common, temporally synchronizing, and the major contributor to the decision when to initiate the nocturnal sleep period, regardless of work status or hours.
“The data from our study suggest that regardless whether or not one works for pay, or among those who work, whether or not the hours are long, television viewing before bedtime is remarkably common, temporally synchronizing, and the major contributor to the decision when to initiate of the nocturnal sleep period.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationSleep time may be increased on the population level by advancing prime time TV by one hour in EST/PST time zones, aligning it more with the photoperiod.
“According to the results of Hamermesh and colleagues, 15 sleep time may be increased on the population level by advancing prime time TV by one hour in EST/PST time zones, and thus aligning it more with the photoperiod.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe human circadian clock is programmed biologically to entrain to the solar photoperiod.
“While the human circadian clock is programmed biologically to entrain to the solar photoperiod, 16 our data suggest that nighttime television has potent control over the behavioral timing of sleep onset for millions of Americans”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16]
Not checked in the free run.
May combine two claims.
InterpretationcitationTV and alarm clock timing fluctuate relative to work hours, commute time, and day of week, and may further exacerbate social jetlag for most Americans.
“Because TV and alarm clock timing fluctuate relative to work hours, commute time, and day of week, they may further exacerbate social jetlag 17 for most Americans.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17]
Not checked in the free run.
The paper relies on this without support.
Reducing work time and its economic benefits to increase sleep time is not feasible for most of the population.
“If this is the case, reducing work time and its economic benefits in order to increase sleep time may not be feasible for most of the population.”
The paper relies on this without support.
Many prime time and late night shows are broadcast one hour later in EST/PST time zones than CST/MST time zones.
“Many prime time and late night shows are broadcast one hour later in EST/PST time zones than CST/MST time zones.”
The paper relies on this without support.
Evening television viewing is under discretionary control.
“The fact that they averaged 50.7 min of TV viewing before bed suggests that they could exchange more of this discretionary TV time for sleep time”
The paper relies on this without support.
The timing of work is not flexible for most people.
“While the timing of work may not be flexible, giving up some TV viewing in the evening should be possible to reduce chronic sleep debt and promote adequate sleep in those who need it.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
As globalization and technology penetrate society, sleep-related beliefs and practices can change, including longer working hours, shift work, and discouraging naps.
“As globalization and technology penetrate society, sleep-related beliefs and practices can change, including the provision of longer working hours,113–120 shift work,121–124 and discouraging otherwise culturally appropriate naps.125–127”
From Sleep, Health, and Society (2017) · cites this paper as [117]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Morning travel and work percentages are reversed in the abstract
MinorThe abstract assigns 14.8% to travel and 12.3% to work. The results and Table 2 assign 12.3% to travel and 14.8% to work.
“In the morning, travel time and work time increased steadily toward the end of the post-awakening 2-h period, accounting for 14.8% and 12.3%, respectively.”
“Travel time and especially work time increased steadily towards the end of the post-awakening 2 h period, accounting for 14.7 min (12.3%) and 17.7 min (14.8%),respectively”
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Sleep debt: Theoretical and empirical issues*
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John A. Groeger, P., Viola, A., June C.Y. Lo, M., Malcolm von Schantz, P., Simon N. Archer, P., & Derk-Jan Dijk, P. (2008) · SLEEP · doi:10.5665/sleep/31.8.1159 · Cited by 160 · see citing works
Meta-Analysis of Short Sleep Duration and Obesity in Children and Adults.
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Cues for Timing and Coordination: Latitude, Letterman, and Longitude
Hamermesh, D. S., Myers, C. K., & Pocock, M. L. (2008) · Journal of Labor Economics · doi:10.1086/525027 · Cited by 87 · see citing works
Does television viewing cause delayed and/or irregular sleep?wake patterns?
Asaoka, S., Fukuda, K., TSUTSUI, Y., & Yamazaki, K. (2007) · Sleep and Biological Rhythms · doi:10.1111/j.1479-8425.2006.00253.x · Cited by 18 · see citing works
Flagged first, then by citations
4 of the 27 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
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Cited by
Sorted by citations
Grandner, M. A. (2017) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2016.10.012 · Cited by 720 · see citing works
Sleep disparity, race/ethnicity, and socioeconomic position
Grandner, M. A., Williams, N. J., Knutson, K. L., Roberts, D., & Jean-Louis, G. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2015.01.020 · Cited by 481 · see citing works
“In addition, as influences of globalization, technology, and industrialization encroach into an area, the sleeprelated beliefs and practices change dramatically, with the institutionalization of long working hours [94–101] and shiftwork [102–105], and banning of culturally appropriate naps [106–108].”
Basner, M., Mollicone, D., & Dinges, D. F. (2011) · Acta Astronautica · doi:10.1016/j.actaastro.2011.07.015 · Cited by 466 · see citing works
“Nevertheless, large parts of the population engage in acute or chronic partial sleep loss, suggesting that sleep is perceived as a flexible commodity that can be exchanged for waking activities considered more essential or of greater value [3].”
BackgroundSelf-citationCircadian rhythms, sleep deprivation, and human performance
Goel, N., Basner, M., Rao, H., & Dinges, D. F. (2013) · Progress in Molecular Biology and Translational Science · doi:10.1016/b978-0-12-396971-2.00007-5 · Cited by 400 · see citing works
“those who did not work did not differ in the times when they retired at night.(15) We speculate that some of this sleep-restriction behavior may be explained by respondents with a late evening circadian phase preference, who awaken early by alarm clock to commute for paid work.”
Self-citationTrends in the Prevalence of Short Sleepers in the USA: 1975–2006
Knutson, K. L., Cauter, E. V., Rathouz, P. J., DeLeire, T., & Lauderdale, D. S. (2010) · SLEEP · doi:10.1093/sleep/33.1.37 · Cited by 349 · see citing works
A prospective study of sleep duration and pneumonia risk in women
Patel, S. R., Malhotra, A., Gao, X., Hu, F. B., Neuman, M. I., & Fawzi, W. W. (2012) · Sleep · doi:10.5665/sleep.1594 · Cited by 195 · see citing works
Sleeping at the Limits: The Changing Prevalence of Short and Long Sleep Durations in 10 Countries
Bin, Y. S., Marshall, N. S., & Glozier, N. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws308 · Cited by 191 · see citing works
Sato-Mito, N., Sasaki, S., Murakami, K., Okubo, H., Takahashi, Y., Shibata, S., Yamada, K., & Sato, K. (2011) · Sleep Medicine · doi:10.1016/j.sleep.2010.09.012 · Cited by 191 · see citing works
“It was reported that watching television in evening may be an important social Zeitgeber for the time of going to bed [38].”
Grandner, M. A., Martin, J. L., Patel, N. P., JACKSON, N. J., Gehrman, P., Pien, G. W., Perlis, M. L., Xie, D., Sha, D., Weaver, T. E., et al. (2012) · SLEEP · doi:10.5665/sleep.1704 · Cited by 183 · see citing works
Basner, M., Dinges, D. F., Mollicone, D., Ecker, A., Jones, C. W., Hyder, E. C., Di Antonio, A., Savelev, I., Kan, K., Goel, N., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212646110 · Cited by 183 · see citing works
“There is considerable population evidence that work schedules (50), alarm clocks (51), television programming times (51), and cultural time shifts, such as school start times (52) and daylight savings time (53), contribute to sleep restriction and a discrepancy between circadian and social clocks (i.”
BackgroundSelf-citationGrandner, M. A. (2022) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2022.03.001 · Cited by 179 · see citing works
Basner, M., Spaeth, A. M., & Dinges, D. F. (2014) · Sleep · doi:10.5665/sleep.4238 · Cited by 151 · see citing works
Self-citationGrandner, M. A. (2020) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2020.02.017 · Cited by 139 · see citing works
Mullins, H. M., Cortina, J. M., Drake, C. L., & Dalal, R. S. (2014) · Journal of Applied Psychology · doi:10.1037/a0037885 · Cited by 139 · see citing works
“…br oa dl y. Journal of Applied Psychology © 2014 American Psychological Association 2014, Vol. 99, No. 6, 1096–1112 0021-9010/14/$12.00 http://dx.doi.org/10.1037/a0037885 1096 television watching (Basner & Dinges, 2009; Hamermesh, Myers, & Pocock, 2008) and family obligations (Barnes et al., 2012).”
BackgroundInfluentialAddressing sleep disturbances: an opportunity to prevent cardiometabolic disease?
Grandner, M. A. (2014) · International Review of Psychiatry · doi:10.3109/09540261.2014.911148 · Cited by 88 · see citing works
“…involve beliefs and attitudes (Carney & Edinger, 2006; Grandner et al., 2013b, 2014b; Smith et al., 2004; Yang et al., 2011), home and work demands (Basner & Dinges, 2009; Basner et al., 2007; Grandner et al., 2014b), and environmental constraints (Barclay et al., 2012; Buxton et al., 2012;…”
BackgroundExamining the Pathways Linking Chronic Sleep Restriction to Obesity
Magee, C., Huang, X., Iverson, D. C., & Caputi, P. (2010) · Journal of Obesity · doi:10.1155/2010/821710 · Cited by 85 · see citing works
“This could perhaps be achieved by addressing factors such as television viewing and time spent commuting to and from work which may be limiting sleep duration in people who work long hours [33, 34].”
BackgroundBasner, M., & Dinges, D. F. (2012) · SLEEP · doi:10.5665/sleep.1620 · Cited by 79 · see citing works
Self-citationBasner, M., & Dinges, D. F. (2018) · SLEEP · doi:10.1093/sleep/zsy012 · Cited by 78 · see citing works
“Watching TV and movies was identified earlier as the most prominent waking activity in the 2 hr period preceding individual bed time [38].”
BackgroundSelf-citationEARLY MORNING WORK—PREVALENCE AND RELATION TO SLEEP/WAKE PROBLEMS: A NATIONAL REPRESENTATIVE SURVEY
Åkerstedt, T., Kecklund, G., & Selén, J. (2010) · Chronobiology International · doi:10.3109/07420528.2010.489001 · Cited by 70 · see citing works
“There are also indications that the increasing congestion on major roads is a factor resulting in day workers commencing their commute in the early morning (Basner & Dinges, 2009).”
BackgroundFeliciano, E. M. C., Dudley, K. A., Sotres‐Alvarez, D., Zee, P. C., Daviglus, M. L., Shah, N. A., Talavera, G. A., Gallo, L. C., Mattei, J., Qi, Q., et al. (2015) · Journal of Diabetes · doi:10.1111/1753-0407.12308 · Cited by 66 · see citing works
“Acculturation is also associated with prolonged television viewing,(49) perhaps contributing to shorter or disturbed sleep.(50) These results underscore the need to distinguish separate sleep phenotypes, as well as to examine underlying causes of sleep disturbance by acculturation level.”
BackgroundReduced Physical Activity in Adults at Risk for Type 2 Diabetes Who Curtail Their Sleep
Booth, J. N., Bromley, L. E., Darukhanavala, A. P., Whitmore, H. R., Imperial, J., & Penev, P. D. (2011) · Obesity · doi:10.1038/oby.2011.306 · Cited by 65 · see citing works
“Data from the American Time Use Survey suggest that short sleepers may trade sleep in exchange for commuting, work, socializing, watching television, or using other media (33).”
MethodThe end of sleep: ‘Sleep debt’ versus biological adaptation of human sleep to waking needs
Horne, J. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.10.004 · Cited by 61 · see citing works
Robbins, R., Grandner, M. A., Buxton, O. M., Hale, L. E., Buysse, D. J., Knutson, K. L., Patel, S. R., Troxel, W., Youngstedt, S. D., Czeisler, C. A., et al. (2019) · Sleep Health · doi:10.1016/j.sleh.2019.02.002 · Cited by 61 · see citing works
Liu, P. Y. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00683 · Cited by 55 · see citing works
Evans, D. S., Snitker, S., Wu, S.-H., Mody, A., Njajou, O. T., Perlis, M. L., Gehrman, P. R., Shuldiner, A. R., & Hsueh, W.-C. (2011) · SLEEP · doi:10.1093/sleep/34.5.661 · Cited by 53 · see citing works
Young Adults’ Sleep Duration on Work Days: Differences between East and West
Lo, J. C.-Y., Leong, R. L. F., Loh, K. K., Dijk, D., & Chee, M. W. L. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00081 · Cited by 46 · see citing works
Sleep, Circadian Rhythms, and Anxious Traits
Coles, M. E., Schubert, J. R., & Nota, J. A. (2015) · Current Psychiatry Reports · doi:10.1007/s11920-015-0613-x · Cited by 46 · see citing works
Worthman, C. M., & Brown, R. A. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.03.048 · Cited by 38 · see citing works
“Leading sleep researchers have concluded that “Reduced sleep time in industrialized societies is primarily related to lifestyle” (Basner & Dinges, 2009, p. 747).”
BackgroundRobbins, R., Underwood, P., Jackson, C. L., Jean-Louis, G., Madhavaram, S., Kuriakose, S., Vieira, D. L., & Buxton, O. M. (2021) · Workplace Health & Safety · doi:10.1177/21650799211020961 · Cited by 38 · see citing works
“(Arora, 2007; Basner & Dinges, 2009; Cappuccio et al., 2009; Volpp et al., 2012), with the remaining studies addressing oil rig workers (n = 3, 15”
BackgroundMaccora, J., Manousakis, J. E., & Anderson, C. (2018) · Journal of Sleep Research · doi:10.1111/jsr.12739 · Cited by 36 · see citing works
“Response times were normalised by calculating the reciprocal reaction time [1/(x/1,000)] and total PVT lapses were transformed as a function of [(√n)+ (√n + 1)] (Basner & Dinges, 2009).”
MethodPetrov, M. E. R., Weng, J. F., Reid, K. J., Wang, R., Ramos, A. R., Wallace, D. M., Alcántara, C., Cai, J., Perreira, K. M., Giacinto, R. A. E., et al. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.11.006 · Cited by 34 · see citing works
Ronch, C. D., Canuto, A., Volkert, J., Massarenti, S., Weber, K., Dehoust, M. C., Nanni, M. G., Andreas, S., Sehner, S., Schulz, H., et al. (2014) · Mental health and physical activity · doi:10.1016/j.mhpa.2014.11.002 · Cited by 35 · see citing works
Quantifying impact of real-world barriers to sleep: The Brief Index of Sleep Control (BRISC)
Grandner, M. A., Oliviér, K., Gallagher, R., Hale, L. E., Barrett, M. S., Branas, C. C., Killgore, W. D. S., Parthasarathy, S., Gehrels, J.-A., & Alfonso‐Miller, P. (2020) · Sleep Health · doi:10.1016/j.sleh.2020.01.013 · Cited by 32 · see citing works
A Prospective Study of Sedentary Behavior and Changes in the Body Mass Index Distribution
Mitchell, J. A., Bottai, M., Park, Y., Marshall, S. J., Moore, S. C., & Matthews, C. E. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000366 · Cited by 31 · see citing works
Chee, M. W. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.10.003 · Cited by 27 · see citing works
“Introduction Voluntary sleep loss arising from lifestyle choices is prevalent [1] despite it producing an unpleasant mental fog, fatigue and sleepiness that elevate the likelihood of accidents [2], cognitive errors [3 ] and emotional dysregulation [4].”
BackgroundEvans-Flynn, E., Gregory, K. B., Arsintescu, L., et al. (2015) · NASA Technical Reports Server (NASA) · Cited by 28 · see citing works
Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions
Morgenthaler, T. I., Croft, J. B., Dort, L. C., Loeding, L. D., Mullington, J. M., & Thomas, S. M. (2015) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.5026 · Cited by 24 · see citing works
Awareness of sleepiness: Temporal dynamics of subjective and objective sleepiness
Manousakis, J. E., Mann, N., Jeppe, K. J., & Anderson, C. (2021) · Psychophysiology · doi:10.1111/psyp.13839 · Cited by 21 · see citing works
Sleep Duration Is Associated With Testis Size in Healthy Young Men
Zhang, W., Piotrowska, K., Chavoshan, B., Wallace, J. M., & Liu, P. Y. (2018) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.7390 · Cited by 22 · see citing works
“Exclusion Criteria Participants were excluded from the study if they had any of the following: (1) unable or unwilling to provide Institutional Review Board-approved informed consent; (2) history of brain injury or of learning disability; (3) anemia (hematocrit < 38%); (4) blood donation in previous 8 weeks; (5) trave…”
Unusual and Unsocial? Effects of Shift Work and Other Unusual Working Times on Social Participation
Arlinghaus, A., & Nachreiner, F. (2016) · Springer eBooks · doi:10.1007/978-3-319-42286-2_3 · Cited by 20 · see citing works
Managing neurobehavioral capability when social expediency trumps biological imperatives
Spaeth, A. M., Goel, N., & Dinges, D. F. (2012) · Progress in brain research · doi:10.1016/b978-0-444-59427-3.00021-6 · Cited by 18 · see citing works
“For example, watching television was the most common activity during the 2-h period before bedtime, suggesting that nighttime television viewing and sleep onset are tightly correlated (Basner and Dinges, 2009; Basner et al., 2007).”
Self-citationSleep variability and nighttime activity among Tsimane forager‐horticulturalists
Yetish, G. M., Kaplan, H. S., & Gurven, M. (2018) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23454 · Cited by 19 · see citing works
Epidemiology of Bedtime, Arising Time, and Time in Bed: Analysis of Age, Gender, and Ethnicity
Thomas, S. J., Lichstein, K. L., Taylor, D. J., Riedel, B. W., & Bush, A. J. (2013) · Behavioral Sleep Medicine · doi:10.1080/15402002.2013.778202 · Cited by 18 · see citing works
Can’t sleep, won’t sleep: Exploring leaders’ sleep patterns, problems, and attitudes.
Svetieva, E., Clerkin, C., & Ruderman, M. N. (2017) · Consulting psychology journal · doi:10.1037/cpb0000092 · Cited by 17 · see citing works
“For instance, there is evidence that individuals “borrow” time from sleep, pushing sleep down lower in the list of priorities in order to get more done in the day (Barnes, Wagner, & Ghumman, 2012; Basner & Dinges, 2009).”
BackgroundA model of shiftworker sleep/wake behaviour
Darwent, D., Dawson, D. E., & Roach, G. D. (2011) · Accident Analysis & Prevention · doi:10.1016/j.aap.2011.09.017 · Cited by 17 · see citing works
“The biological processes that regulate the sleep/wake cycle can be mediated by voluntary decisions that preference social imperatives over sleep (Basner et al., 2007; Basner and Dinges, 2009; Geiger-Brown et al., 2011; Mistlberger and Skene, 2004; Monk and Wagner, 1989).”
BackgroundSocial and environmental contexts modulate sleep deprivation-induced c-Fos activation in rats
Deurveilher, S., Ryan, N., Burns, J., & Semba, K. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.08.029 · Cited by 12 · see citing works
“Despite the detrimental effects of sleep deprivation (SD) on vigilance and cognitive performance [1], many people voluntarily deprive themselves of sleep for various reasons including shift work and lifestyle choices such as watching television, reading, and socializing [2, 3].”
Predictors of Intervention Interest Among Individuals With Short Sleep Duration
Adkins, E. C., DeYonker, O., Duffecy, J. L., Hooker, S. A., & Baron, K. G. (2019) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.7808 · Cited by 9 · see citing works
“11,12 Research has also evaluated sleep duration through the lens of social cognitive theories.”
van de Ven, H. A., Brouwer, S., Koolhaas, W., Goudswaard, A., de Looze, M. P., Kecklund, G., Almansa, J., Bültmann, U., & van der Klink, J. J. L. (2016) · Applied Ergonomics · doi:10.1016/j.apergo.2016.04.004 · Cited by 8 · see citing works
Jara-Diaz, S. R., & Rosales-Salas, J. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.03.025 · Cited by 8 · see citing works
Sleep and Sleep Loss: An Energy Paradox?
Jun, J. C., & Polotsky, V. Y. (2012) · SLEEP · doi:10.5665/sleep.2184 · Cited by 5 · see citing works
Is Time for Sleep Declining Among Americans?
Basner, M. (2010) · SLEEP · doi:10.1093/sleep/33.1.13 · Cited by 5 · see citing works
Self-citationHealth self-care in the United States
Shandra, C. L., & Sonalkar, N. (2016) · Public Health · doi:10.1016/j.puhe.2016.02.030 · Cited by 6 · see citing works
The validity of the pupillographic sleepiness test at shorter task durations
Manousakis, J. E., Maccora, J., & Anderson, C. (2020) · Behavior Research Methods · doi:10.3758/s13428-020-01509-x · Cited by 5 · see citing works
“Due to non-normal distribution of the data, PVT lapses (responses > 500ms) were transformed using [(√n)+ (√n+1)] (Basner & Dinges, 2009).”
MethodErhöhte Tagesschläfrigkeit in Österreich
Falkenstetter, T., Frauscher, B., Anderer, P., et al. (2010) · Somnologie - Schlafforschung und Schlafmedizin · doi:10.1007/s11818-010-0451-3 · Cited by 5 · see citing works
Family Influences on Sleep: Comparative and Historical-Evolutionary Perspectives
Worthman, C. M. (2017) · National symposium on family issues · doi:10.1007/978-3-319-64780-7_6 · Cited by 4 · see citing works
von Känel, R. (2010) · Springer eBooks · doi:10.1007/978-3-642-16964-9_13 · Cited by 3 · see citing works
Goel, N., & Dinges, D. F. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511762697.012 · Cited by 4 · see citing works
Self-citationSleep, Public Health and Wellness: The Elephant in the Room
Chee, M. W. L. (2013) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.v42n3p105 · Cited by 3 · see citing works
Wels, J., & Fu, R. (2025) · Industrial Health · doi:10.2486/indhealth.2024-0131 · Cited by 2 · see citing works
“Generally, those working fewer than eight hours per day tend to sleep more than those working longer hours 33) .”
The role of shifted television viewing on earlier bedtimes in the streaming era
Meyer, J. M., Onge, J. M. S., & Siengsukon, C. F. (2025) · Social Science & Medicine · doi:10.1016/j.socscimed.2025.117977 · Cited by 3 · see citing works
“Watching television is the most common activity in the 2 h before bed, underlining the connection between television viewing and bedtime (Basner and Dinges, 2009).”
InfluentialSocioeconomic Status and Sleep
Grandner, M. A. (2019) · doi:10.1093/oso/9780190930448.003.0010 · Cited by 2 · see citing works
A Review of Researches on Sleepiness at Workplace
Xiang, J., & Ye, M. (2016) · Journal of Human Resource and Sustainability Studies · doi:10.4236/jhrss.2016.43017 · Cited by 1 · see citing works
Vandegriffe, A., Samaranayake, V. A., & Thimgan, M. S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.08.552395 · Cited by 1 · see citing works
“Unfortunately, sleep deprivation continues to be a pervasive problem with sleep time potentially decreasing and individuals choosing other activities over sleep [18,19] which can reduce the overall public health.”
BackgroundConsequences of Chronic Sleep Restriction on Energy Balance in Healthy Adults
Spaeth, A. M. (2014) · ScholarlyCommons (University of Pennsylvania)
Lim, J. (2010) · ScholarlyCommons (University of Pennsylvania)
McGuire, K. A. (2011) · QSpace (Queen's University Library)
Murray, S. L., & Thimgan, M. S. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802412-6.00004-2
Evans, D. S., Snitker, S., Wu, S.-H., Njajou, O. T., Perlis, M. L., Gehrman, P., Shuldiner, A. R., & Hsueh, W. (2011)
Final report on the portable computerized assessments of sleepy drivers in operational environments.
Rizzo, M., Tippin, J., & Aksan, N. S. (2011)
Murray, B. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822963-7.00029-3
Social Factors in Insufficient Sleep
Basner, M. (2022) · Translational medicine research · doi:10.1007/978-94-024-2168-2_6
Self-citationGuo, Y., Wang, S., Fu, R., & Wels, J. (2024) · medRxiv · doi:10.1101/2024.06.05.24308486
“It was evidenced that unemployment (i.e., those looking for a job) and non-employment are associated with high insomnia-related symptoms prevalence 27 , particularly among the male population and to a lesser extent among the female population 28 .”
BackgroundMedicinal fatigue management in military aviation
Wingelaar-Jagt, Y. Q. (2024) · doi:10.26481/dis.20240926yw
Obstacles to overcome when improving sleep health at a societal level
Grandner, M. A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13954-3.00006-1
WACSAW: An adaptive, statistical method to classify movement into sleep and wakefulness states
Vandegriffe, A., Samaranayake, V. A., & Thimgan, M. S. (2025) · PLoS ONE · doi:10.1371/journal.pone.0333417
“Sleep deprivation continues to be a pervasive problem with sleep time decreasing for individuals choosing other activities over sleep [1,2].”
Parekh, N., & Murray, B. J. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-378610-4.00215-1
- Authors
- Basner, M., & Dinges, D. F.
- Affiliations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- University of Pennsylvania (US)
- Corresponding author
- Basner, Mathias
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-06
- Volume
- 32
- Issue
- 6
- Pages
- 747-752
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- PMC
- PMC2690561
- OpenAlex
- W4416612
- Cited by
- 76
- References
- 27
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 4 · 2018: 5 · 2017: 2 · 2016: 6 · 2015: 5 · 2014: 8 · 2013: 7 · 2012: 5
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- SLEEP (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- elib (German Aerospace Center) (submittedVersion)
- Funders
- National Science Foundation
- National Aeronautics and Space Administration
- National Sleep Foundation
- National Institutes of Health
- National Institute of Nursing Research (NR04281, R01NR004281)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- sleep duration, bedtime timing, television viewing, working hours, chronobiology, sleep debt, time use
- MeSH terms
- Adult, Female, Health Surveys, Humans, Leisure Activities, Male, Middle Aged, Sleep Deprivation, Television, Time and Motion Studies, United States, Wakefulness, Work Schedule Tolerance
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