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1. Association between dietary patterns and depressive symptoms over time: a 10-year follow-up study of the GAZEL cohort

Author

Cédric Lemogne, Sébastien Czernichow, Maria Melchior, Marie Zins, Agnès Le Port, Marcel Goldberg, Hermann Nabi, Alice Guéguen, Emmanuelle Kesse-Guyot, Schmaus, Annie, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-PRES Sorbonne Paris Cité-Hôpital Corentin Celton [Issy-les-Moulineaux], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Service de Nutrition, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Ambroise Paré [AP-HP]-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Caisse Centrale d'Activite Sociale des Entreprises Electriques et Gazieres (CCAS), Caisses Mutuelles Complementaires d'Activite Sociale des Entreprises Electriques et Gazieres (CMCAS), EDF-GDF, INSERM, Cohortes Sante TGIR Program, Agence nationale de la recherche (ANR), Agence francaise de securite sanitaire de l'environnement et du travail (AFSSET), Centre de recherche en épidémiologie et santé des populations ( CESP ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Université Paris-Sud - Paris 11 ( UP11 ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Unité de Recherche en Epidémiologie Nutritionnelle ( UREN ), Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-Université Paris Descartes - Paris 5 ( UPD5 ) -PRES Sorbonne Paris Cité-Hôpitaux Universitaires Paris Ouest - Hôpital Corentin Celton [Issy-les-Moulineaux], Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Ambroise Paré-Hôpitaux Universitaires Paris Ile-de-France Ouest (HUPO), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-PRES Sorbonne Paris Cité-Hôpital Corentin Celton [Issy-les-Moulineaux], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Ambroise Paré-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA), and Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)

Subjects
Male, Gerontology, Time Factors, Epidemiology, Life Course Epidemiology, lcsh:Medicine, Social and Behavioral Sciences, 0302 clinical medicine, Odds Ratio, Psychology, Medicine, Longitudinal Studies, 030212 general & internal medicine, lcsh:Science, Depression (differential diagnoses), Psychiatry, 2. Zero hunger, Principal Component Analysis, Multidisciplinary, Depression, 10 year follow up, Follow up studies, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Middle Aged, Mental Health, Cohort, Female, France, Research Article, Adult, 03 medical and health sciences, Confidence Intervals, Humans, Association (psychology), Biology, Depressive symptoms, Lifecourse Epidemiology, Nutrition, Behavior, Population Biology, Mood Disorders, business.industry, lcsh:R, Background data, Odds ratio, Diet, 030227 psychiatry, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Follow-Up Studies
Abstract

International audience; BACKGROUND: Data on the association between dietary patterns and depression are scarce. The objective of this study was to examine the longitudinal association between dietary patterns and depressive symptoms assessed repeatedly over 10 years in the French occupational GAZEL cohort. METHODS: A total of 9,272 men and 3,132 women, aged 45-60 years in 1998, completed a 35-item Food Frequency Questionnaire (FFQ) at baseline. Dietary patterns were derived by Principal Component Analysis. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression scale (CES-D) in 1999, 2002, 2005 and 2008. The main outcome measure was the repeated measures of CES-D. Longitudinal analyses were performed with logistic regression based on generalized estimating equations. PRINCIPAL FINDINGS: The highest quartile of low-fat, western, high snack and high fat-sweet diets in men and low-fat and high snack diets in women were associated with higher likelihood of depressive symptoms at the start of the follow-up compared to the lowest quartile (OR between 1.16 and 1.50). Conversely, the highest quartile of traditional diet (characterized by fish and fruit consumption) was associated with a lower likelihood of depressive symptoms in women compared to the lowest quartile, with OR = 0.63 [95%CI, 0.50 to 0.80], as the healthy pattern (characterized by vegetables consumption) with OR = 0.72 [95%CI, 0.63 to 0.83] and OR = 0.75 [95%CI, 0.61 to 0.93] in men and women, respectively. However, there was probably a reverse causality effect for the healthy pattern. CONCLUSION: This longitudinal study shows that several dietary patterns are associated with depressive symptoms and these associations track over time.

Published
2012
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2. Does cognition predict mortality in midlife? Results from the Whitehall II cohort study

Author

Archana Singh-Manoux, Michael Marmot, Alice Guéguen, Joël Ankri, Martin J. Shipley, Séverine Sabia, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Department of Epidemiology and Public Health, University College of London [London] (UCL), Centre de Gérontologie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Kaniewski, Nadine, and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Gerontology, Male, Aging, Health Status, MESH: Language Tests, Physical fitness, Intelligence, MESH: Physical Fitness, MESH: Cognition, MESH: Food Habits, Neuropsychological Tests, Cohort Studies, 0302 clinical medicine, Cognition, Risk Factors, MESH: Risk Factors, Epidemiology, Health Status Indicators, 030212 general & internal medicine, MESH: Memory, MESH: Cohort Studies, MESH: Health Status, Intelligence Tests, Language Tests, MESH: Middle Aged, Intelligence quotient, General Neuroscience, Hazard ratio, Smoking, MESH: Life Style, MESH: Neuropsychological Tests, Middle Aged, MESH: Longevity, MESH: Risk Reduction Behavior, MESH: Great Britain, Female, Psychology, Cohort study, Adult, medicine.medical_specialty, MESH: Smoking, Alcohol Drinking, Longevity, Article, 03 medical and health sciences, Memory, MESH: Health Status Indicators, medicine, Humans, MESH: Intelligence, Life Style, MESH: Humans, MESH: Verbal Behavior, business.industry, Verbal Behavior, MESH: Adult, Feeding Behavior, Confidence interval, United Kingdom, MESH: Male, Cognitive epidemiology, MESH: Cognition Disorders, Physical Fitness, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), Geriatrics and Gerontology, business, Cognition Disorders, MESH: Intelligence Tests, Risk Reduction Behavior, MESH: Female, 030217 neurology & neurosurgery, MESH: Alcohol Drinking, Developmental Biology
Abstract

International audience; The authors examined the association of 'g' (general intelligence) factor and five specific cognitive measures assessed in 1997-1999 with mortality till 2006 (mean follow-up of 8 years) in the middle-aged Whitehall II cohort study. In age- and sex-adjusted analysis, a decrease in 1 S.D. in memory (hazard ratio (HR), 1.19; 95% confidence interval (CI): 1.02, 1.39) and in Alice Heim 4-I (AH4-I) (HR, 1.16; 95% CI: 1.01, 1.35) was found to be associated with higher mortality. The association with 'g' factor, phonemic and semantic fluency did not reach significance at p

Published
2010
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3. Gender differences in the association between morbidity and mortality among middle-aged men and women

Author

Jane E. Ferrie, Michael Marmot, Archana Singh-Manoux, Pekka Martikainen, Marcel Goldberg, Alice Guéguen, Martin J. Shipley, Sébastien Bonenfant, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Department of Epidemiology and Public Health, University College of London [London] (UCL), Equipe RPPC, CETAF, Kaniewski, Nadine, and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Male, genetic structures, Research and Practice, Health Status, 030204 cardiovascular system & hematology, Cohort Studies, MESH: Proportional Hazards Models, 0302 clinical medicine, MESH: Health Surveys, Absenteeism, London, 030212 general & internal medicine, MESH: Cohort Studies, MESH: Health Status, Self-rated health, education.field_of_study, Sex Characteristics, MESH: Middle Aged, Hazard ratio, MESH: Sex Distribution, Men, Middle Aged, Cohort, Female, France, MESH: Life Expectancy, Cohort study, MESH: Sex Characteristics, Adult, medicine.medical_specialty, Population, MESH: Women, 03 medical and health sciences, Life Expectancy, Sex Factors, MESH: Sex Factors, MESH: Analysis of Variance, mental disorders, medicine, Whitehall Study, Humans, Women, Mortality, Sex Distribution, education, Proportional Hazards Models, Analysis of Variance, MESH: Humans, MESH: Mortality, business.industry, Public health, Public Health, Environmental and Occupational Health, MESH: Men, MESH: Adult, MESH: London, Health Surveys, MESH: Male, MESH: Absenteeism, MESH: France, MESH: Morbidity, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Life expectancy, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Morbidity, business, MESH: Female, Demography
Abstract

Objectives. We examined gender differences in mortality, morbidity, and the association between the 2. Methods. We used health data from 2 studies of middle-aged men and women: the British Whitehall II cohort of employees from 20 civil service departments in London and the 1989 French GAZEL (this acronym refers to the French gas and electric companies) of employees of France's national gas and electricity company. Participants were aged 35 to 55 years when assessed for morbidity and followed up for mortality over 17 years. Results. Male mortality was higher than female mortality in Whitehall II (hazard ratio [HR] = 1.56; 95% confidence interval [CI] = 1.28, 1.91) and the GAZEL cohort (HR = 1.99; CI = 1.66, 2.40). Female excess morbidity was observed for some measures in the Whitehall II data and for 1 measure in the GAZEL data. Only self-reported sickness absence in the Whitehall II data was more strongly associated with mortality among men (P = .01). Conclusions. Mortality was lower among women than among men, but morbidity was not consistently higher. The lack of gender differences in the association between morbidity and mortality suggests that this is not a likely explanation for the gender paradox, which refers to higher morbidity but lower mortality among women than among men.

Published
2008
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4. Socioeconomic status moderates the association between carotid intima-media thickness and cognition in midlife: evidence from the Whitehall II study

Author

Julian Halcox, Michael Marmot, Annie Britton, Alice Guéguen, Mika Kivimäki, Archana Singh-Manoux, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Department of Epidemiology and Public Health, University College of London [London] (UCL), Centre de Gérontologie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Vascular Physiology Unit, University College of London [London] (UCL)-Institute of Child Health, Kaniewski, Nadine, and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Carotid Artery Diseases, Male, Tunica media, medicine.medical_specialty, Inverse Association, Carotid Artery, Common, 030204 cardiovascular system & hematology, Article, 03 medical and health sciences, Cognition, 0302 clinical medicine, medicine, Humans, Socioeconomic status, Aged, Cognitive reserve, 2. Zero hunger, business.industry, Middle Aged, Atherosclerosis, Health Surveys, Surgery, Cross-Sectional Studies, medicine.anatomical_structure, Social Class, Intima-media thickness, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Verbal memory, Cognition Disorders, Tunica Intima, Tunica Media, Cardiology and Cardiovascular Medicine, business, Body mass index, 030217 neurology & neurosurgery, Clinical psychology
Abstract

International audience; BACKGROUND: Common carotid artery intima-media thickness (IMT) is a measure of generalized atherosclerosis and has been shown to be associated with cognitive function. We examine two questions: does socioeconomic status (SES) moderate this association and is IMT more strongly associated with specific aspects of cognitive function? METHODS: Data are drawn from the Phase 7 (2003-2004) of the Whitehall II study (N=3896). In cross-sectional analyses the association between IMT and six measures of cognition (short-term verbal memory, inductive reasoning, vocabulary, semantic and phonemic fluency and a measure of global cognitive status) was examined in analyses adjusted for previous history of coronary heart disease, health behaviours and other vascular risk measures such as blood pressure, cholesterol and body mass index. RESULTS: The overall association between IMT and the six measures of cognition was restricted to the low SES group (p=0.02). Within this group, IMT was significantly associated with inductive reasoning (p=0.001), vocabulary (p=0.002), phonemic (p=0.006) and semantic fluency (p=0.02). The covariates examined explained about a quarter of the association between IMT and cognition in the low SES group. The associations with the measure of inductive reasoning (p=0.02), vocabulary (p=0.02) and phonemic fluency (p=0.04) remained after adjustment for all covariates. CONCLUSIONS: SES is an important modifier of the association between IMT and cognition, an inverse association between the two was observed only in the low SES group. It is possible that high cognitive reserve among the high SES individuals prevents the functional manifestations of atherosclerosis. Verbal memory was not one of the cognitive domains associated with IMT.

Published
2008
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5. Awareness of driving while sleepy and road traffic accidents: prospective study in GAZEL cohort

Author

Alice Guéguen, Marie Zins, Sylviane Lafont, Hermann Nabi, Emmanuel Lagarde, Mireille Chiron, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement UMRT9002 (UMRESTTE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche sur les Transports et leur Sécurité (INRETS)-Institut de Veille Sanitaire (INVS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Kaniewski, Nadine

Subjects
Male, MESH: Accidents, Traffic, MESH: Awareness, Poison control, computer.software_genre, MESH: Research Support, Non-U.S. Gov't, Suicide prevention, MESH: Regression Analysis, Occupational safety and health, Cohort Studies, 0302 clinical medicine, Odds Ratio, Medicine, 030212 general & internal medicine, MESH: Cohort Studies, General Environmental Science, MESH: Automobile Driving, MESH: Femal, 05 social sciences, Accidents, Traffic, General Engineering, Human factors and ergonomics, General Medicine, MESH: Sleep Deprivation, Awareness, Cohort, symbols, Regression Analysis, Female, France, Cohort study, Automobile Driving, Computer security, 03 medical and health sciences, symbols.namesake, 0502 economics and business, Injury prevention, Humans, Poisson regression, 050210 logistics & transportation, MESH: Humans, business.industry, Research, Editorials, MESH: Male, MESH: Odds Ratio, MESH: France, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Sleep Deprivation, General Earth and Planetary Sciences, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, computer, human activities, MESH: Female, Demography
Abstract

International audience; OBJECTIVES: To examine the association between self assessed driving while sleepy and the risk of serious road traffic accidents (RTAs). DESIGN: Prospective cohort study. SETTING: France. PARTICIPANTS: 13 299 of the 19 894 living members of the GAZEL cohort, workers and recent retirees of a French national utility company followed up since 1989. MAIN OUTCOME MEASURES: Frequency of driving while sleepy in the previous 12 months, reported in 2001; rate ratios for serious RTAs in 2001-3, estimated by using generalised linear Poisson regression models with time dependent covariates. RESULTS: The risk of serious RTAs increased proportionally with the frequency of self reported driving while sleepy. After adjustment for sociodemographic characteristics, driving behaviour variables, work conditions, retirement, medical conditions and treatments, depressive symptoms, and sleep disorders, the adjusted rate ratios of serious RTAs for participants who reported driving while sleepy in the previous 12 months "a few times" or "once a month or more often" were 1.5 (95% confidence interval 1.2 to 2.0) and 2.9 (1.3 to 6.3) respectively compared with those who reported not driving while sleepy over the same period. These associations were not explained by any reported sleep disorders. CONCLUSIONS: Self assessed driving while sleepy was a powerful predictor of serious RTAs, suggesting that drivers' awareness of their sleepiness while driving is not sufficient to prevent them from having RTAs. Messages on prevention should therefore focus on convincing sleepy drivers to stop driving and sleep before resuming their journey.

Published
2006
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