The Effects of Shift Work on Sleeping Quality, Hypertension and Diabetes in Retired Workers
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{"title"=>"The Effects of Shift Work on Sleeping Quality, Hypertension and Diabetes in Retired Workers", "type"=>"journal", "authors"=>[{"first_name"=>"Yanjun", "last_name"=>"Guo", "scopus_author_id"=>"55822914400"}, {"first_name"=>"Yuewei", "last_name"=>"Liu", "scopus_author_id"=>"16424749900"}, {"first_name"=>"Xiji", "last_name"=>"Huang", "scopus_author_id"=>"55822462100"}, {"first_name"=>"Yi", "last_name"=>"Rong", "scopus_author_id"=>"55261898500"}, {"first_name"=>"Meian", "last_name"=>"He", "scopus_author_id"=>"8138327000"}, {"first_name"=>"Youjie", "last_name"=>"Wang", "scopus_author_id"=>"7601493536"}, {"first_name"=>"Jing", "last_name"=>"Yuan", "scopus_author_id"=>"57061280300"}, {"first_name"=>"Tangchun", "last_name"=>"Wu", "scopus_author_id"=>"7404815278"}, {"first_name"=>"Weihong", "last_name"=>"Chen", "scopus_author_id"=>"14031086700"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84881598555", "doi"=>"10.1371/journal.pone.0071107", "sgr"=>"84881598555", "isbn"=>"1932-6203", "pmid"=>"23976988", "issn"=>"19326203", "pui"=>"369579337"}, "id"=>"c2076f0e-3130-3e73-9e4b-ddf1c52dc261", "abstract"=>"BACKGROUND: Shift work has been associated with adverse health effects by disturbing circadian rhythms. However,its potential long-term health effects and the persistent effects after leaving shifts have not been well established.\\n\\nMETHODS AND RESULTS: We studied 26,463 workers from Tongji-Dongfeng Cohort in China. All the participants are retired employees of Dongfeng Motor Company. Information on demographics, occupational history and medical history were gathered through questionnaires. After adjusting potential confounders in the logistic regression models, shift work was associated with poor sleeping quality, diabetes and hypertension independently. We observed significant effects of shift work on poor sleeping quality, diabetes and hypertension; the ORs (95%CI) are 1.18 (1.09-1.27), 1.10 (1.03-1.17) and 1.05 (1.01-1.09) respectively. In the further analysis, we found elevated ORs (95%CI) for participants with poor sleeping quality, the ORs (95%CI) are 1.34 (1.08-1.60), 1.13 (1.05-1.21), 1.05 (1.03-1.07) and 1.05 (1.01-1.09) for 1-4, 5-9, 10-19, ≥20 years of shift work respectively. However, with the extension of leaving shift work duration, the effects of shift work on sleep quality gradually reduced.\\n\\nCONCLUSIONS: Shift work may be an independent risk factor for sleeping quality, diabetes and hypertension even in retired workers. Applicable intervention strategies are needed for prevention of sleep loss, diabetes, and hypertension for shift workers.", "link"=>"http://www.mendeley.com/research/effects-shift-work-sleeping-quality-hypertension-diabetes-retired-workers", "reader_count"=>107, "reader_count_by_academic_status"=>{"Unspecified"=>13, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>5, "Researcher"=>12, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>6, "Student > Master"=>17, "Other"=>7, "Student > Bachelor"=>18, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>13, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>5, "Researcher"=>12, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>6, "Student > Master"=>17, "Other"=>7, "Student > Bachelor"=>18, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Agricultural and Biological Sciences"=>15, "Arts and Humanities"=>2, "Business, Management and Accounting"=>4, "Engineering"=>4, "Environmental Science"=>2, "Nursing and Health Professions"=>11, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>35, "Neuroscience"=>2, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Sports and Recreations"=>2, "Psychology"=>8, "Social Sciences"=>6}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>35}, "Social Sciences"=>{"Social Sciences"=>6}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>8}, "Unspecified"=>{"Unspecified"=>14}, "Environmental Science"=>{"Environmental Science"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Engineering"=>{"Engineering"=>4}, "Neuroscience"=>{"Neuroscience"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>15}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>11}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"United States"=>3, "Germany"=>2, "India"=>1}, "group_count"=>6}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1172744"], "description"=>"<p>Model 1 : single factor logistic regression.</p><p>Multivariate-adjusted model: adjusted for gender (male, female), age (<60 y, 60–75 y, ≥75 y), race (Han, others), marital status (single or divorced, married), tea consumption (no, yes), life stress (no, yes), current smoking status (no, yes), passive smoking (no, yes), current drinking status (no, yes), physical activity (no, yes) and body mass index (<18.5, 18.5–24, 24–28, ≥28).</p>*<p>We adjusted chronic diseases (no, yes) except all the confounders in Multivariate-adjusted model.</p><p>The reference group was normal sleeping quality group and participants who did not work on shift position.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Anatomy and physiology", "Physiological processes", "Chronobiology", "cardiovascular", "hypertension", "Clinical research design", "Cohort studies", "Survey research", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Cardiovascular disease epidemiology", "Epidemiology of aging", "Survey methods", "neurology", "Sleep disorders", "Public health", "Occupational and industrial health", "sleeping", "duration"], "article_id"=>774677, "categories"=>["Mathematics", "Medicine"], "users"=>["Yanjun Guo", "Yuewei Liu", "Xiji Huang", "Yi Rong", "Meian He", "Youjie Wang", "Jing Yuan", "Tangchun Wu", "Weihong Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0071107.t003", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_ratio_of_all_levels_for_sleeping_quality_diabetes_and_hypertension_by_duration_of_shift_work_/774677", "title"=>"Odds ratio of all levels for sleeping quality, diabetes and hypertension by duration of shift work.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-08-16 01:34:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/1172745"], "description"=>"<p>Abbreviation: SD, standard deviation; BMI, body mass index.Variable are given as Mean±SD for numerical data, and frequency for categorical data.</p>*<p>Chi-square test for categorical data;</p>#<p>Independent sample t-test for numerical data.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Anatomy and physiology", "Physiological processes", "Chronobiology", "cardiovascular", "hypertension", "Clinical research design", "Cohort studies", "Survey research", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Cardiovascular disease epidemiology", "Epidemiology of aging", "Survey methods", "neurology", "Sleep disorders", "Public health", "Occupational and industrial health"], "article_id"=>774678, "categories"=>["Mathematics", "Medicine"], "users"=>["Yanjun Guo", "Yuewei Liu", "Xiji Huang", "Yi Rong", "Meian He", "Youjie Wang", "Jing Yuan", "Tangchun Wu", "Weihong Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0071107.t001", "stats"=>{"downloads"=>6, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_characteristics_of_the_study_population_according_to_shift_work_/774678", "title"=>"The characteristics of the study population according to shift work.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-08-16 01:34:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/1172742"], "description"=>"<p>The figure shows odds ratio of impaired and poor sleeping quality comparing to normal sleeping quality group according to duration shift work and duration of leaving shifts. The model adjusted for gender (male, female), age (<60 y, 60–75 y, ≥75 y), race (Han, others), marital status (single or divorced, married), tea consumption (no, yes), life stress (no, yes), current smoking status (no, yes), passive smoking (no, yes), current drinking status (no, yes), physical activity (no, yes), body mass index (<18.5, 18.5–24, 24–28, ≥28), chronic diseases (no, yes).</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Anatomy and physiology", "Physiological processes", "Chronobiology", "cardiovascular", "hypertension", "Clinical research design", "Cohort studies", "Survey research", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Cardiovascular disease epidemiology", "Epidemiology of aging", "Survey methods", "neurology", "Sleep disorders", "Public health", "Occupational and industrial health", "impaired", "sleeping", "duration", "years", "leaving"], "article_id"=>774675, "categories"=>["Mathematics", "Medicine"], "users"=>["Yanjun Guo", "Yuewei Liu", "Xiji Huang", "Yi Rong", "Meian He", "Youjie Wang", "Jing Yuan", "Tangchun Wu", "Weihong Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0071107.g001", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_ratio_of_impaired_and_poor_sleeping_quality_according_to_duration_of_shift_work_and_years_after_leaving_shifts_/774675", "title"=>"Odds ratio of impaired and poor sleeping quality according to duration of shift work and years after leaving shifts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-08-16 01:34:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/1172743"], "description"=>"<p>Abbreviation: SBP, Systolic blood pressure; DBP, diastolic blood pressure; RBC, red blood cell; WBC, white blood cell; TC, total cholesterol; TG, total triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.</p><p><i>P</i> values were calculated by independent sample t-test for numerical data.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Anatomy and physiology", "Physiological processes", "Chronobiology", "cardiovascular", "hypertension", "Clinical research design", "Cohort studies", "Survey research", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Cardiovascular disease epidemiology", "Epidemiology of aging", "Survey methods", "neurology", "Sleep disorders", "Public health", "Occupational and industrial health", "baseline", "biochemical"], "article_id"=>774676, "categories"=>["Mathematics", "Medicine"], "users"=>["Yanjun Guo", "Yuewei Liu", "Xiji Huang", "Yi Rong", "Meian He", "Youjie Wang", "Jing Yuan", "Tangchun Wu", "Weihong Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0071107.t002", "stats"=>{"downloads"=>3, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_baseline_levels_of_biochemical_traits_of_the_participants_according_to_shift_work_Mean_177_SD_/774676", "title"=>"The baseline levels of biochemical traits of the participants according to shift work (Mean±SD).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-08-16 01:34:37"}

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Relative Metric

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