Rotating Night Shift Work and Risk of Type 2 Diabetes: Two Prospective Cohort Studies in Women
- Publication Date
- December 06, 2011
- Journal
- PLOS Medicine
- Authors
- An Pan, Eva S. Schernhammer, Qi Sun & Frank B. Hu
- Volume
- 8
- Issue
- 12
- Pages
- e1001141
- DOI
- https://dx.plos.org/10.1371/journal.pmed.1001141
- Publisher URL
- http://journals.plos.org/plosmedicine/article?id=10.1371%2Fjournal.pmed.1001141
- PubMed
- http://www.ncbi.nlm.nih.gov/pubmed/22162955
- PubMed Central
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3232220
- Europe PMC
- http://europepmc.org/abstract/MED/22162955
- Web of Science
- 000298668100006
- Scopus
- 84855168949
- Mendeley
- http://www.mendeley.com/research/rotating-night-shift-work-risk-type-2-diabetes-two-prospective-cohort-studies-women
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Mendeley | Further Information
{"title"=>"Rotating night shift work and risk of type 2 diabetes: Two prospective cohort studies in women", "type"=>"journal", "authors"=>[{"first_name"=>"An", "last_name"=>"Pan", "scopus_author_id"=>"56108327800"}, {"first_name"=>"Eva S.", "last_name"=>"Schernhammer", "scopus_author_id"=>"7004207502"}, {"first_name"=>"Qi", "last_name"=>"Sun", "scopus_author_id"=>"55245866000"}, {"first_name"=>"Frank B.", "last_name"=>"Hu", "scopus_author_id"=>"36038688700"}], "year"=>2011, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491277", "arxiv"=>"79", "scopus"=>"2-s2.0-84855168949", "pui"=>"364014897", "doi"=>"10.1371/journal.pmed.1001141", "isbn"=>"1549-1676 (Electronic)\\r1549-1277 (Linking)", "sgr"=>"84855168949", "pmid"=>"22162955"}, "id"=>"f1d96bb2-1682-30d0-96a8-53163ae58fc1", "abstract"=>"BACKGROUND: Rotating night shift work disrupts circadian rhythms and has been associated with obesity, metabolic syndrome, and glucose dysregulation. However, its association with type 2 diabetes remains unclear. Therefore, we aimed to evaluate this association in two cohorts of US women.\\n\\nMETHODS AND FINDINGS: We followed 69,269 women aged 42-67 in Nurses' Health Study I (NHS I, 1988-2008), and 107,915 women aged 25-42 in NHS II (1989-2007) without diabetes, cardiovascular disease, and cancer at baseline. Participants were asked how long they had worked rotating night shifts (defined as at least three nights/month in addition to days and evenings in that month) at baseline. This information was updated every 2-4 years in NHS II. Self-reported type 2 diabetes was confirmed by a validated supplementary questionnaire. We documented 6,165 (NHS I) and 3,961 (NHS II) incident type 2 diabetes cases during the 18-20 years of follow-up. In the Cox proportional models adjusted for diabetes risk factors, duration of shift work was monotonically associated with an increased risk of type 2 diabetes in both cohorts. Compared with women who reported no shift work, the pooled hazard ratios (95% confidence intervals) for participants with 1-2, 3-9, 10-19, and ≥20 years of shift work were 1.05 (1.00-1.11), 1.20 (1.14-1.26), 1.40 (1.30-1.51), and 1.58 (1.43-1.74, p-value for trend <0.001), respectively. Further adjustment for updated body mass index attenuated the association, and the pooled hazard ratios were 1.03 (0.98-1.08), 1.06 (1.01-1.11), 1.10 (1.02-1.18), and 1.24 (1.13-1.37, p-value for trend <0.001).\\n\\nCONCLUSIONS: Our results suggest that an extended period of rotating night shift work is associated with a modestly increased risk of type 2 diabetes in women, which appears to be partly mediated through body weight. Proper screening and intervention strategies in rotating night shift workers are needed for prevention of diabetes.", "link"=>"http://www.mendeley.com/research/rotating-night-shift-work-risk-type-2-diabetes-two-prospective-cohort-studies-women", "reader_count"=>262, "reader_count_by_academic_status"=>{"Unspecified"=>12, "Professor > Associate Professor"=>11, "Librarian"=>1, "Researcher"=>23, "Student > Doctoral Student"=>19, "Student > Ph. D. Student"=>59, "Student > Postgraduate"=>12, "Student > Master"=>62, "Other"=>8, "Student > Bachelor"=>47, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>12, "Professor > Associate Professor"=>11, "Librarian"=>1, "Researcher"=>23, "Student > Doctoral Student"=>19, "Student > Ph. D. Student"=>59, "Student > Postgraduate"=>12, "Student > Master"=>62, "Other"=>8, "Student > Bachelor"=>47, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>21, "Agricultural and Biological Sciences"=>63, "Arts and Humanities"=>3, "Business, Management and Accounting"=>2, "Computer Science"=>2, "Economics, Econometrics and Finance"=>2, "Engineering"=>6, "Environmental Science"=>4, "Biochemistry, Genetics and Molecular Biology"=>10, "Nursing and Health Professions"=>19, "Materials Science"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>99, "Neuroscience"=>5, "Design"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Sports and Recreations"=>2, "Psychology"=>6, "Social Sciences"=>12, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>99}, "Social Sciences"=>{"Social Sciences"=>12}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>6}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>21}, "Environmental Science"=>{"Environmental Science"=>4}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>3}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>5}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>63}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>19}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>10}}, "reader_count_by_country"=>{"Canada"=>1, "Netherlands"=>1, "Belgium"=>1, "United States"=>3, "Denmark"=>1, "United Kingdom"=>2, "Australia"=>1, "Chile"=>1, "Portugal"=>1, "Germany"=>2, "Spain"=>2}, "group_count"=>17}CrossRef
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- {"month"=>"9", "year"=>"2020", "pdf_views"=>"63", "xml_views"=>"4", "html_views"=>"83"}
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PMC Usage Stats | Further Information
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- {"unique-ip"=>"56", "full-text"=>"53", "pdf"=>"34", "abstract"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2013", "month"=>"10"}
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- {"unique-ip"=>"46", "full-text"=>"58", "pdf"=>"23", "abstract"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
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- {"unique-ip"=>"60", "full-text"=>"83", "pdf"=>"20", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
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- {"unique-ip"=>"84", "full-text"=>"100", "pdf"=>"35", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"2"}
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- {"unique-ip"=>"75", "full-text"=>"93", "pdf"=>"28", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"5"}
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Relative Metric
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