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PloS one
2014;9 (10): e110825.

Occupational electromagnetic field exposures associated with sleep quality: a cross-sectional study.

Hui Liu, Guangdi Chen, Yifeng Pan, Zexin Chen, Wen Jin, Chuan Sun, Chunjing Chen, Xuanjun Dong, Kun Chen, Zhengping Xu, Shanchun Zhang, Yunxian Yu
Author Information
  1. Hui Liu: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  2. Guangdi Chen: Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  3. Yifeng Pan: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  4. Zexin Chen: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  5. Wen Jin: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  6. Chuan Sun: Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  7. Chunjing Chen: Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  8. Xuanjun Dong: Yiwu Center for Disease Control and Prevention, Yiwu, Zhejiang, China.
  9. Kun Chen: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  10. Zhengping Xu: Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  11. Shanchun Zhang: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  12. Yunxian Yu: Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
PMID: 25340654 DOI: 10.1371/journal.pone.0110825

Abstract

BACKGROUND: Exposure to electromagnetic field (EMF) emitted by mobile phone and other machineries concerns half the world's population and raises the problem of their impact on human health. The present study aims to explore the effects of electromagnetic field exposures on sleep quality and sleep duration among workers from electric power plant.
METHODS: A cross-sectional study was conducted in an electric power plant of Zhejiang Province, China. A total of 854 participants were included in the final analysis. The detailed information of participants was obtained by trained investigators using a structured questionnaire, which including socio-demographic characteristics, lifestyle variables, sleep variables and electromagnetic exposures. Physical examination and venous blood collection were also carried out for every study subject.
RESULTS: After grouping daily occupational electromagnetic exposure into three categories, subjects with long daily exposure time had a significantly higher risk of poor sleep quality in comparison to those with short daily exposure time. The adjusted odds ratios were 1.68 (95%CI: 1.18, 2.39) and 1.57 (95%CI: 1.10, 2.24) across tertiles. Additionally, among the subjects with long-term occupational exposure, the longer daily occupational exposure time apparently increased the risk of poor sleep quality (OR (95%CI): 2.12 (1.23∼3.66) in the second tertile; 1.83 (1.07∼3.15) in the third tertile). There was no significant association of long-term occupational exposure duration, monthly electric fee or years of mobile-phone use with sleep quality or sleep duration.
CONCLUSIONS: The findings showed that daily occupational EMF exposure was positively associated with poor sleep quality. It implies EMF exposure may damage human sleep quality rather than sleep duration.

References

  1. J Sleep Res. 2002 Dec;11(4):289-95 [PMID: 12464096]
  2. Oncol Nurs Forum. 2013 Sep;40(5):441-51 [PMID: 23989018]
  3. Bioelectromagnetics. 2007 May;28(4):316-25 [PMID: 17216609]
  4. Occup Environ Med. 2009 Feb;66(2):124-30 [PMID: 19151228]
  5. Neuroreport. 2005 Nov 28;16(17):1973-6 [PMID: 16272890]
  6. Bioelectromagnetics. 2008 Sep;29(6):463-70 [PMID: 18393264]
  7. Environ Res. 2009 Aug;109(6):779-85 [PMID: 19476932]
  8. Emerg Health Threats J. 2012;5: [PMID: 22529876]
  9. Health Qual Life Outcomes. 2012 Jun 18;10:72 [PMID: 22709334]
  10. Surg Neurol. 2009 Sep;72(3):205-14; discussion 214-5 [PMID: 19328536]
  11. Pain Med. 2012 Oct;13(10):1292-303 [PMID: 22925527]
  12. J Affect Disord. 2013 May 15;148(1):66-71 [PMID: 23261135]
  13. Radiat Prot Dosimetry. 2013 May;154(4):405-16 [PMID: 23051584]
  14. Gerontology. 2000 Nov-Dec;46(6):318-22 [PMID: 11044786]
  15. J Pineal Res. 1996 Sep;21(2):91-100 [PMID: 8912234]
  16. Nat Rev Immunol. 2004 Jun;4(6):457-67 [PMID: 15173834]
  17. Bioelectromagnetics. 2011 Jan;32(1):4-14 [PMID: 20857453]
  18. Environ Health Perspect. 2004 Dec;112(17):1741-54 [PMID: 15579422]
  19. Radiat Res. 2010 Sep;174(3):347-56 [PMID: 20726726]
  20. Scand J Work Environ Health. 1998 Jun;24(3):183-9 [PMID: 9710370]
  21. PLoS One. 2013 Aug 16;8(8):e71107 [PMID: 23976988]
  22. Menopause. 2013 Apr;20(4):464-9 [PMID: 23096246]
  23. Arch Intern Med. 2005 Apr 25;165(8):863-7 [PMID: 15851636]
  24. Bull World Health Organ. 2010 Dec 1;88(12):887-896F [PMID: 21124713]
  25. PLoS One. 2012;7(5):e37455 [PMID: 22624036]
  26. Sleep Med. 2011 Oct;12(9):914-9 [PMID: 21940204]
  27. Sleep. 2007 Dec;30(12):1688-97 [PMID: 18246978]
  28. Occup Environ Med. 2006 May;63(5):307-13 [PMID: 16621850]
  29. J Pineal Res. 1990;9(4):259-69 [PMID: 2096195]
  30. PLoS Med. 2004 Dec;1(3):e62 [PMID: 15602591]
  31. Eur Heart J. 2004 May;25(9):709-11 [PMID: 15120876]
  32. Eur J Neurosci. 2005 Feb;21(4):1000-6 [PMID: 15787706]
  33. Soz Praventivmed. 2006;51(4):202-9 [PMID: 17193782]
  34. Rev Environ Health. 1994 Jul-Dec;10(3-4):171-86 [PMID: 7724876]
  35. Zhonghua Yu Fang Yi Xue Za Zhi. 2007 May;41(3):204-7 [PMID: 17708874]
  36. Bioelectromagnetics. 2012 Apr;33(3):187-206 [PMID: 22021071]
  37. Environ Health Perspect. 2007 Mar;115(3):416-24 [PMID: 17431492]
  38. Public Health. 2008 Feb;122(2):113-24 [PMID: 17572456]
  39. Bioelectromagnetics. 2006 Feb;27(2):142-50 [PMID: 16342198]

MeSH Term

Adult
Cell Phone
China
Cross-Sectional Studies
Electromagnetic Fields
Female
Humans
Life Style
Male
Middle Aged
Occupational Diseases
Occupational Exposure
Odds Ratio
Power Plants
Radio Waves
Sleep
Sleep Wake Disorders
Surveys and Questionnaires
Young Adult
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 39

Word Cloud

Created with Highcharts 10.0.0sleepexposure1qualityelectromagneticdailyoccupationalstudydurationfieldEMFexposureselectrictimepoor2humanamongpowerplantcross-sectionalparticipantsvariablessubjectsrisk95%CI:long-termtertileassociatedBACKGROUND:Exposureemittedmobilephonemachineriesconcernshalfworld'spopulationraisesproblemimpacthealthpresentaimsexploreeffectsworkersMETHODS:conductedZhejiangProvinceChinatotal854includedfinalanalysisdetailedinformationobtainedtrainedinvestigatorsusingstructuredquestionnaireincludingsocio-demographiccharacteristicslifestylePhysicalexaminationvenousbloodcollectionalsocarriedeverysubjectRESULTS:groupingthreecategorieslongsignificantlyhighercomparisonshortadjustedoddsratios681839571024acrosstertilesAdditionallylongerapparentlyincreasedOR95%CI:1223∼366second8307∼315thirdsignificantassociationmonthlyfeeyearsmobile-phoneuseCONCLUSIONS:findingsshowedpositivelyimpliesmaydamageratherOccupationalquality:

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