Effects of 13-Hour 20-Minute Work Shifts on Law Enforcement Officers' Sleep, Cognitive Abilities, Health, Quality of Life, and Work Performance: The Phoenix Study
Abstract
To determine the impact of a longer-than-average compressed workweek on police officers’ sleep, cognitive abilities, health, quality of life, and work performance, two precincts of the Phoenix Police Department participated in a 9-month, repeated-measures study. The experimental precinct worked three consecutive 13-hr 20-min (13:20-hr) shifts per week for 6 months, while the control precinct worked four 10-hr shifts per week. Officers were assessed using the Pittsburgh Sleep Quality Index, Psychomotor Vigilance Test, STROOP Color-Word test, Quality of Life Inventory, and measures of salivary cortisol. The Phoenix Police Department provided data for Professional Standards Bureau complaints, shooting qualifications, vehicular accidents, self-initiated calls, adult bookings, field interrogations, overtime, and time off for the 6 months of the study period and the same 6 months of the previous year. Self-reported caffeine intake and shift preference were also collected. Officers working 13:20-hr shifts experienced significant ( p < .05) decreases in hours of sleep, overall quality of sleep, concentration, cognitive processing, and quality of life (overall and in six of eight subareas). Significant ( p < .05) increases were observed in fatigue, daytime dysfunction due to sleepiness, reaction time, anticipatory errors, and Professional Standards Bureau complaints. There were no significant differences in most indices of work performance or differences due to working day or night shifts. When officers working 13:20-hr shifts returned to 10-hr shifts, all variables returned to baseline (prestudy) levels. Officers from both precincts overwhelmingly preferred 10-hr shifts. This study indicates that there are no apparent advantages but considerable liabilities associated with 13:20-hr shifts for police officers.
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In Bell 2015, other bias was at low risk because no other potential sources of bias were identified.
“Other bias Low risk We identified no other potential sources of bias.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Bell et al. do not report a low-risk ‘other bias’ assessment. In the limitations discussion (indexed as ‘Amendola’; page unavailable), they identify unexamined officer characteristics that may influence the results, contrary to the claim that no other potential sources of bias were identified. (LLM, conf=0.72)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredAxelsson 1998 and Bell 2015 reported sleep quality off-shift.
“Axelsson 1998 and Bell 2015 reported sleep quality off‐shift.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The 'Sleep Quality and Daytime Dysfunction Due to Fatigue' section reports sleep quality using the PSQI, which covers the preceding month. But the paper does not report sleep quality specifically on days off; the 'Sleep/Fatigue' section says its reported sleep hours concern workdays and that sleep on days off is unknown. This verdict addresses Bell 2015 only, not Axelsson 1998. (LLM, conf=0.86)
Experimental — accuracy not yet measuredBell 2015 found that both objective and subjective sleepiness scores were significantly higher in the group working shifts of 13 hours 20 minutes compared to those working 10-hour shifts, without taking unit-of-analysis error into account.
“Without taking the unit‐of‐analysis error into account, the study authors found that both scores were significantly higher in the group working shifts of 13 hours 20 minutes compared to those working 10‐hour shifts.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The Sleep, Sleep Quality, and Daytime Dysfunction Due to Fatigue results report significantly higher self-reported daytime dysfunction due to sleepiness for officers on 13-hour-20-minute shifts. The Attention and Reaction Time results report significantly slower reaction times and more lapses on the objective PVT, which measures fatigue-related alertness rather than a direct sleepiness score. The paper reports these comparisons but does not establish the citing document’s unit-of-analysis-error assessment. (LLM, conf=0.82)
Experimental — accuracy not yet measuredBell 2015 found that participants in the 10-hour shift group worked significantly more overtime during the six-month study period compared with participants who worked shifts of 13 hours 20 minutes (mean 9.02 versus 6.89 hours; MD 1.22, 95% CI 0.94 to 1.50).
“Participants in the 10‐hour shift group worked significantly more overtime during the six‐month study period compared with participants who worked shifts of 13 hours 20 minutes (mean 9.02 hours versus mean 6.89 hours; MD 1.22, 95% CI 0.94 to 1.50; Analysis 4.4).”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The Overtime and Time Off section (page unavailable) reports significantly more overtime per officer in the 10-hour group during the 2012 trial, with means of 9.02 versus 6.89 hours. It does not report the stated MD of 1.22 or 95% CI of 0.94 to 1.50; the difference between its reported means is 2.13 hours. Its overtime data also include officers who did not participate in other parts of the study. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe evidence for overtime hours in Bell 2015 was of very low certainty; downgraded for imprecision, indirectness, and insufficient statistical adjustments for confounding or cluster allocation.
“This evidence was of very low certainty; we downgraded for imprecision, indirectness, and insufficient statistical adjustments for confounding or cluster allocation.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Bell 2015 reported that participants working shifts of 13 hours 20 minutes obtained significantly fewer hours of sleep than those working 10-hour shifts, but the study authors did not take into account unit-of-analysis error.
“Bell 2015 reported that participants working shifts of 13 hours 20 minutes obtained significantly fewer hours of sleep than those working 10‐hour shifts, but the study authors did not take into account the unit‐of‐analysis error.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The ‘Sleep, Sleep Quality, and Daytime Dysfunction Due to Fatigue’ section reports significantly fewer hours of sleep for the 13-hour-20-minute group at Month 3, but not at Month 6. The Methods and Analyses sections describe one precinct per shift condition and an officer-level comparison, but the paper does not itself identify or assess a unit-of-analysis error. That methodological criticism is therefore not established by the cited paper. (LLM, conf=0.84)
Experimental — accuracy not yet measuredParticipants in Bell 2015 also worked more overtime during the year prior to the intervention.
“The participants also worked more overtime during the year prior to the intervention.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The “Overtime and Time Off” section (page unavailable) reports that officers in the 10-hour group worked significantly more overtime per officer than those in the 13:20-hour group in 2011, before the trial. The claim does not identify that comparison group, and the paper’s overtime data cover only the same six-month period of the prior year, not the full year. (LLM, conf=0.82)
Experimental — accuracy not yet measuredIn Bell 2015, incomplete outcome data for sleep quality off-shift was at unclear risk because the number of participants completing the study was not clearly reported.
“Incomplete outcome data (attrition bias) Sleep quality off‐shift Unclear risk There was a clear restriction regarding the change of the work schedule. However, the number of participants completing the study was not clearly reported.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The Participants section reports 343 officers enrolled, and Sleep Quality and Daytime Dysfunction Due to Fatigue lists when they completed PSQI surveys, but the passages found do not give a clear number who completed the study. The paper describes monthly sleep-quality measurements, not a distinct off-shift sleep-quality outcome or its missing-data count. The ‘unclear risk’ rating is the citing authors’ appraisal, not a finding stated by Bell et al. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn Bell 2015, reliability or objectivity of measurement for sleep length and quality was at unclear risk because the PSQI is a validated instrument but objective measures such as actigraphy were not used, and it is unclear whether inclusion of objective methods would have influenced results.
“Reliable or objective measurement of outcomes Sleep length and quality Unclear risk Sleep quality and sleep length assessed by the Pittsburgh Sleep Quality Index, which is a validated instrument. However, objective measures, such as actigraphy, were not used. It is unclear whether the inclusion of objective methods would have influenced the results.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn Bell 2015, the intervention was at low risk of affecting data collection because there were no changes in data collection.
“Intervention unlikely to affect data collection Low risk No changes in data collection.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
The Methods and Work Performance and Safety Measures sections describe data collection from both precincts during the trial and comparable reporting periods for work-performance outcomes. The paper does not state that data-collection procedures remained unchanged because of the intervention or assess the risk that the intervention affected collection; “low risk” is the citing authors’ appraisal. (LLM, conf=0.78)
Experimental — accuracy not yet measuredBell 2015 assessed self-reported sleep quality using the Pittsburgh Sleep Quality Index at baseline and three and six months after the shift schedule change.
“Bell 2015 assessed self‐reported sleep quality using the Pittsburgh Sleep Quality Index at baseline and three and six months after the shift schedule change.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Bell 2015 found no significant differences in sleep quality between groups at month three (mean 1.67 points, SD 0.13, in 13-hour-20-minute shifts versus mean 1.11 points, SD 0.11, in 10-hour shifts; P = 0.512; F1,348 = 0.431).
“Bell 2015 found no significant differences between the groups at month three (mean 1.67 points (SD 0.13) in those who worked shifts of 13 hours 20 minutes versus mean 1.11 points (SD 0.11) in those who worked shifts of 10 hours; P = 0.512; F1,348 = 0.431).”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
At month six, Bell 2015 reported that participants working longer shifts exhibited worse sleep quality compared to those who worked shorter shifts, but this did not take into account unit-of-analysis error due to clustering.
“At month six, Bell 2015 reported that the participants working longer shifts exhibited worse sleep quality compared to those who worked shorter shifts, but this did not take into account the unit‐of‐analysis error due to clustering of participants.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Most included studies were almost only men and focused on a few areas of work (car manufacturing, police force, maintenance unit of an airline company, power plant, and steel industry).
“Most studies included (almost) only men, and focused on a few areas of work (i.e. car manufacturing, police force, maintenance unit of an airline company, power plant, and steel industry; Amendola 2011; Axelsson 1998; Bell 2015; Garde 2020; Knauth 1998; Totterdell 1992; Viitasalo 2008).”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Two CBA trials used cluster allocation, but did not correct for unit-of-analysis error (Bell 2015; Totterdell 1992).
“Two CBA trials used cluster allocation, but did not correct for the unit‐of‐analysis error (Bell 2015; Totterdell 1992).”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, blinding of outcome assessment for objective measures was at low risk because sleepiness during shifts was assessed by an objective and validated method (3-minute PVT).
“Blinding of outcome assessment (detection bias) Objective measures Low risk Sleepiness during shifts assessed by an objective and validated method (3‐minute version of the PVT).”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
Experimental — accuracy not yet measuredIn Bell 2015, selective reporting was at low risk because outcomes were reported as stated in the methods section and no reason to suspect selective reporting was found.
“Selective reporting (reporting bias) Low risk Outcomes were reported as stated in the methods session. We found no reason to suspect selective reporting.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, blinding of participants and personnel for subjective measures was at high risk because sleep length and quality were self-reported through the PSQI.
“Blinding of participants and personnel (performance bias) Subjective measures High risk Sleep length and quality were self‐reported through the Pittsburgh Sleep Quality Index questionnaire.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, appropriateness of statistical analysis for cluster allocation was at high risk because analyses were not adjusted for the unit of analysis issues imposed by cluster allocation.
“Appropriateness of statistical analysis (cluster allocation) High risk Analyses were not adjusted for the unit of analysis issues imposed by cluster allocation.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, recruitment bias was at unclear risk because methods for allocating clusters into intervention or control groups were not explained.
“Recruitment bias Unclear risk Methods for allocating clusters into intervention or control groups were not explained.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, baseline differences between groups were at low risk because characteristics of age, sex, number of children, number of children living in the home, age of youngest child living in the home, ethnicity, and medications taken were balanced across groups.
“Baseline differences between groups Low risk The characteristics of age, sex, number of children, number of children living in the home, age of youngest child living in the home, ethnicity, and medications taken were balanced across groups.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, incomplete outcome data for sleepiness during shifts was at unclear risk because the number of participants completing the study was not clearly reported.
“Incomplete outcome data (attrition bias) Sleepiness during shifts Unclear risk There was a clear restriction regarding the change of the work schedule. However, the number of participants completing the study was not clearly reported.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, incomplete outcome data for sleep length off-shift was at unclear risk because the number of participants completing the study was not clearly reported.
“Incomplete outcome data (attrition bias) Sleep length off‐shift Unclear risk There was a clear restriction regarding the change of the work schedule. However, the number of participants completing the study was not clearly reported.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, reliability or objectivity of measurement for sleepiness was at low risk because sleepiness was assessed by the 3-minute version of the PVT.
“Reliable or objective measurement of outcomes Sleepiness Low risk Sleepiness assessed by the 3‐minute version of the PVT.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, blinding of outcome assessment for subjective measures was at high risk because sleep length and quality were self-reported through the PSQI.
“Blinding of outcome assessment (detection bias) Subjective measures High risk Sleep length and quality were self‐reported through the Pittsburgh Sleep Quality Index questionnaire.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, blinding of participants and personnel for objective measures was at low risk because sleepiness during shifts was assessed by the 3-minute version of the PVT, an objective and validated measure.
“Blinding of participants and personnel (performance bias) Objective measures Low risk Sleepiness during shifts assessed by the 3‐minute version of the PVT, which is an objective and validate measure.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, appropriateness of statistical analyses was at low risk because multivariate analysis of variance was conducted using baseline scores as the covariate.
“Appropriateness of statistical analyses Low risk Multivariate analysis of variance was conducted, using baseline scores as the covariate.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
In Bell 2015, the intervention was at low risk of being confounded by other changes over time because no other changes were mentioned and the follow-up period was relatively short.
“Intervention independent of other changes over time Low risk No other changes mentioned in the paper. Relatively short follow‐up period; no major changes expected.”
From Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers (2023) · cites this paper as Bell 2015
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Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers
Hulsegge, G., Coenen, P., Gascon, G. M., Pahwa, M., Greiner, B., Bohane, C., Wong, I. S., Liira, J., Riera, R., & Pachito, D. V. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010639.pub2 · Cited by 31 · see citing works
- Authors
- Bell, L. B., Virden, T. B., Lewis, D. J., & Cassidy, B. A.
- Affiliations
- Midwestern University (US)
- Arizona Behavioral Health Specialists, Phoenix, AZ, USA
- Phoenix Police Department, AZ, USA
- Corresponding author
- Bell, Leonard B.
- Venue
- Police Quarterly
- Publisher
- SAGE Publications
- Published
- 2015-05-13
- Volume
- 18
- Issue
- 3
- Pages
- 293-337
- ISSN
- 1098-6111 (ISSN-L)
- 1552-745X
- OpenAlex
- W1942839544
- Cited by
- 24
- References
- 48
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 1
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Police Quarterly (publishedVersion)
- Funders
- Midwestern University
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- police officers, sleep quality, fatigue, cognitive performance, quality of life, employee performance, salivary cortisol, caffeine consumption, occupational health, citizen complaints against police
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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