Metabolic syndrome and sleep duration in police officers
Abstract
OBJECTIVES: To examine associations for sleep quality and quantity with metabolic syndrome (MS) and its five components in police officers. PATIENTS OR PARTICIPANTS: The study population consisted of 98 randomly selected officers (39 women and 59 men) for whom MS and sleep data were available. METHODS: Sleep duration (categorized as short < 6 hours, long ≥ 6 hours) for the past week and quality of sleep were collected by interviewer-administered questionnaires. MS was assessed using standard criteria. Generalized linear models were used to assess associations between sleep duration or sleep quality and MS, and the mean number of MS components. RESULTS: Metabolic syndrome was present in 22.0% and 2.6% of the male and female officers, respectively. Women with short sleep had a significantly higher mean number of MS components (mean=1.43) than those with longer sleep (mean=0.81, p=0.0316). Officers who stopped breathing during the night had more MS components (mean=2.43) compared to those who did not (mean =1.13, p=0.0206). CONCLUSIONS: Sleep duration and quality were associated with the mean number of MS components, particularly in women. Future research should examine these associations prospectively, in a larger cohort, exploring possible gender differences.
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Short sleep duration is consistently associated with metabolic syndrome.
“In fact, emerging cross-sectional data have shown that SSD is consistently associated with metabolic syndrome (a constellation of symptoms, including elevated waist circumference, lipids, fasting glucose, and blood pressure).”
From Sleep Duration and Quality: Impact on Lifestyle Behaviors and Cardiometabolic Health: A Scientific Statement From the American Heart Association (2016) · cites this paper as [91]
Sleep disturbances are common among police officers.
“Among law enforcement and first responders, several studies have shown that sleep disturbances are common among police officers198–203 and firefighters.204,205”
From Sleep, Health, and Society (2017) · cites this paper as [202]
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St-Onge, M.-P., Grandner, M. A., Brown, D., Conroy, M. B., Jean-Louis, G., Coons, M., & Bhatt, D. L. (2016) · Circulation · doi:10.1161/cir.0000000000000444 · Cited by 1,044 · see citing works
Grandner, M. A. (2017) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2016.10.012 · Cited by 720 · see citing works
Short sleep duration predicts risk of metabolic syndrome: A systematic review and meta-analysis
Xi, B., He, D., Zhang, M., Xue, J., & Zhou, D. (2013) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2013.06.001 · Cited by 253 · see citing works
Grandner, M. A. (2022) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2022.03.001 · Cited by 179 · see citing works
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Garbarino, S., & Magnavita, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144318 · Cited by 170 · see citing works
Sleep Duration and Metabolic Syndrome. An Updated Dose–Risk Metaanalysis
IFTIKHAR, I. H., Donley, M. A., Mindel, J. W., Pleister, A. P., Soriano, S., & Magalang, U. J. (2015) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201504-190oc · Cited by 146 · see citing works
Grandner, M. A. (2020) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2020.02.017 · Cited by 139 · see citing works
Sleep duration and metabolic syndrome: An updated systematic review and meta-analysis
Xie, J., Li, Y., Zhang, Y., Vgontzas, A. N., Basta, M., Chen, B., Chong-tao, X., & Tang, X. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101451 · Cited by 143 · see citing works
Sleep duration and metabolic syndrome in adult populations: a meta-analysis of observational studies
Ju, S.-Y., & Choi, W.-S. (2013) · Nutrition & Diabetes · doi:10.1038/nutd.2013.8 · Cited by 130 · see citing works
Garbarino, S., Guglielmi, O., Puntoni, M., Bragazzi, N. L., & Magnavita, N. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16050885 · Cited by 107 · see citing works
Garbarino, S., & Magnavita, N. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224259 · Cited by 94 · see citing works
Chang, J.-H., Huang, P.-T., Lin, Y., Lin, C., Lin, C.-M., Shieh, Y., & Lin, Y. (2015) · International Journal of Occupational Medicine and Environmental Health · doi:10.13075/ijomeh.1896.00359 · Cited by 65 · see citing works
Law Enforcement Officer Safety and Wellness
Mumford, E. A., Taylor, B. G., & Kubu, B. E. (2014) · Police Quarterly · doi:10.1177/1098611114559037 · Cited by 59 · see citing works
Sleep Duration and the Risk of Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis
Hua, J., Jiang, H., Wang, H., & Fang, Q. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.635564 · Cited by 52 · see citing works
Wolkow, A., Ferguson, S., Aisbett, B., & Main, L. (2015) · International Journal of Occupational Medicine and Environmental Health · doi:10.13075/ijomeh.1896.00227 · Cited by 50 · see citing works
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Yung, M., Du, B., Gruber, J., & Yazdani, A. (2020) · Safety Science · doi:10.1016/j.ssci.2020.105044 · Cited by 40 · see citing works
Anthropometric indicators of obesity in policemen: A systematic review of observational studies
da Silva, F. C., Hernández, S. S. S., Gonçalves, E., Arancibia, B. A. V., Castro, T. L. D. S., & da Silva, R. (2014) · International Journal of Occupational Medicine and Environmental Health · doi:10.2478/s13382-014-0318-0 · Cited by 37 · see citing works
Xu, X., Conomos, M. P., Manor, O., Rohwer, J. E., Magis, A. T., & Lovejoy, J. C. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.223 · Cited by 33 · see citing works
Rostami, H., Tavakoli, H. R., Rahimi, M. H., & Mohammadi, M. (2019) · Military Medicine · doi:10.1093/milmed/usz144 · Cited by 34 · see citing works
Hu, J., Zhu, X., Yuan, D., Ji, D., Guo, H., Li, Y., He, Z., Bai, H., Zhu, Q., Shen, C., et al. (2022) · Endokrynologia Polska · doi:10.5603/ep.a2022.0058 · Cited by 27 · see citing works
Sleep Health Promotion in the Workplace
Garbarino, S., Tripepi, G., & Magnavita, N. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17217952 · Cited by 26 · see citing works
Peila, R., Xue, X., Feliciano, E. M. C., Allison, M., Sturgeon, S. R., Zaslavsky, O., Stone, K. L., Ochs‐Balcom, H. M., Mossavar‐Rahmani, Y., Crane, T. E., et al. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01138-9 · Cited by 17 · see citing works
Strauß, M., Foshag, P., Brzęk, A., Vollenberg, R., Jehn, U., & Leischik, R. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s267948 · Cited by 13 · see citing works
Lim, W., & So, W.-Y. (2015) · Journal of Physical Therapy Science · doi:10.1589/jpts.27.555 · Cited by 12 · see citing works
Muir, C., Prang, K.-H., Sheppard, D. M., & Newnam, S. (2019) · Safety Science · doi:10.1016/j.ssci.2019.104525 · Cited by 11 · see citing works
Strauß, M., Foshag, P., Jehn, U., Vollenberg, R., Brzęk, A., & Leischik, R. (2021) · International Journal of Medical Sciences · doi:10.7150/ijms.60696 · Cited by 10 · see citing works
Yoon, H.-S., Lee, K.-M., Yang, J. J., Lee, H.-W., Song, M., Lee, S., Lee, J., & Kang, D. (2016) · Sleep and Biological Rhythms · doi:10.1007/s41105-016-0065-7 · Cited by 8 · see citing works
Williams, N. J., Castor, C., Seixas, A. A., Ravenell, J. E., & Jean‐Louis, G. (2018) · Ethnicity & Disease · doi:10.18865/ed.28.3.193 · Cited by 8 · see citing works
Zhu, H., Zhang, L., Zhu, T., Jia, L., Zhang, J., & Shu, L. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02354-z · Cited by 6 · see citing works
Cary, D., Collinson, R., Sterling, M. M., & Briffa, K. (2019) · Work · doi:10.3233/wor-192930 · Cited by 5 · see citing works
Prevalência de síndrome metabólica em metalúrgicos de diferentes turnos de trabalho
Moreno, É., Martino, M. M. F. D., & da Costa, R. F. (2015) · Acta Paulista de Enfermagem · doi:10.1590/1982-0194201500065 · Cited by 3 · see citing works
LIFESTYLE INDICATORS OF PRIVATE AND CORPORALS IN THE MILITARY POLICE OF VITÓRIA-ES MUNICIPALITY
Dutra, M. M., Seibel, V. V., Leite, C. D. F. C., Ferro, P. L., Santo, S. D. S. P. D. E. D. E., Reis, C. H. O., Oliveira, G. S., Machado, A. F., Rica, R. L., Paulo, A. C., et al. (2023) · Revista Brasileira de Medicina do Esporte · doi:10.47870/1517-8692202430032023_0224i · Cited by 2 · see citing works
The prevalence of metabolic syndrome among Iranian bakers
Gharibi, V., Khanjani, N., Khosravi, A., Hosseinabadi, M. B., Norouzi, P., & Khammarnia, M. (2019) · Work · doi:10.3233/wor-193065 · Cited by 2 · see citing works
Prevalence of metabolic syndrome and its associated factors among Iranian steel workers
Heidary, E., Latifi, S. M., & Afshari, D. (2021) · Work · doi:10.3233/wor-203367 · Cited by 2 · see citing works
INDICADORES DO ESTILO DE VIDA DE SOLDADOS E CABOS DA POLÍCIA MILITAR DO MUNICÍPIO DE VITÓRIA-ES
Dutra, M. M., Seibel, V. V., Leite, C. D. F. C., Ferro, P. L., Santo, S. D. S. P. D. E. D. E., Reis, C. H. O., Oliveira, G. S., Machado, A. F., Rica, R. L., Faculdade Estácio de Sá Vitoria, D. D. E. F., et al. (2023) · Revista Brasileira de Medicina do Esporte · doi:10.47870/1517-8692202430032023_0224p · Cited by 1 · see citing works
Exploring the relationship between metabolic syndrome and sleep amongst adults in the UK
Alfawaz, R. A. (2017) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 1 · see citing works
Fernández‐Montero, A., & Martínez-González (2013) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
Moreno, É., Maria, M., Martino, F. D., & da Costa, R. F. (2015)
Qualidade de sono e obesidade em militares: uma revisão narrativa
Portugal, G., Ferreira, F. G., & Doimo, L. A. (2023) · Revista de Educação Física / Journal of Physical Education · doi:10.37310/ref.v91i2.2850
Zhu, H., Zhang, L., Zhu, T., Jia, L., Zhang, J., & Shu, L. (2024) · Research Square · doi:10.21203/rs.3.rs-4332551/v1
Peila, R., Xue, X., Feliciano, E. M. C., Allison, M., Sturgeon, S. R., Zaslavsky, O., Stone, K. L., Ochs‐Balcom, H. M., Mossavar‐Rahmani, Y., Crane, T. E., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21117647
- Authors
- McCanlies, E. C., Slaven, J. E., Smith, L. M., Andrew, M. E., Charles, L. E., Burchfiel, C. M., & Violanti, J. M.
- Affiliations
- Centers for Disease Control and Prevention (US)
- West Virginia University (US)
- University at Buffalo, State University of New York (US)
- ORCID
- Venue
- Work
- Publisher
- SAGE Publications
- Published
- 2012
- Volume
- 43
- Issue
- 2
- Pages
- 133-139
- ISSN
- 1051-9815 (ISSN-L)
- OpenAlex
- W1732441922
- Cited by
- 42
- References
- 0
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 7 · 2014: 2 · 2013: 3
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Work (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Occupational Safety and Health (1r03oh003772-01, R01 OH009640)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Keywords
- metabolic syndrome, sleep duration, sleep quality, police officers, occupational health, gender differences, short sleep duration, snoring, obstructive sleep apnea
- MeSH terms
- Adult, Cross-Sectional Studies, Female, Humans, Interviews as Topic, Male, Middle Aged, New York, Surveys and Questionnaires, Regression Analysis, Sex Factors, Sleep, Sleep Deprivation, Socioeconomic Factors, Work Schedule Tolerance, Body Mass Index, Prevalence, Confidence Intervals, Police, Metabolic Syndrome
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