Author
Jan H. Pejtersen
Other affiliations: National Institute of Occupational Health, Finnish Institute of Occupational Health
Bio: Jan H. Pejtersen is an academic researcher from University of Skövde. The author has contributed to research in topics: Risk factor & Cohort study. The author has an hindex of 24, co-authored 46 publications receiving 3526 citations. Previous affiliations of Jan H. Pejtersen include National Institute of Occupational Health & Finnish Institute of Occupational Health.
Topics: Risk factor, Cohort study, Job strain, Psychosocial, Hazard ratio
Papers published on a yearly basis
Papers
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TL;DR: The COPSOQ I concept has been further developed and new validated scales have been included and in general, the new scales showed good criteria validity.
Abstract: Aims: The aim of the present paper is to present the development of the second version of the Copenhagen Psychosocial Questionnaire (COPSOQ II). Methods: The development of COPSOQ II took place in five main steps: (1) We considered practical experience from the use of COPSOQ I, in particular feedback from workplace studies where the questionnaire had been used; (2) All scales concerning workplace factors in COPSOQ I were analyzed for differential item functioning (DIF) with regard to gender, age and occupational status; (3) A test version of COPSOQ II including new scales and items was developed and tested in a representative sample of working Danes between 20 and 59 years of age. In all, 3,517 Danish employees participated in the study. The overall response rate was 60.4%; (4) Based on psychometric analyses, the final questionnaire was developed; and (5) Criteria-related validity of the new scales was tested. Results: The development of COPSOQ II resulted in a questionnaire with 41 scales and 127 items. New scales on values at the workplace were introduced including scales on Trust, Justice and Social inclusiveness. Scales on Variation, Work pace, Recognition, Work-family conflicts and items on offensive behaviour were also added. New scales regarding health symptoms included: Burnout, Stress, Sleeping troubles and Depressive symptoms. In general, the new scales showed good criteria validity. All in all, 57% of the items of COPSOQ I were retained in COPSOQ II. Conclusions: The COPSOQ I concept has been further developed and new validated scales have been included.
916 citations
University College London1, University of Helsinki2, Finnish Institute of Occupational Health3, French Institute of Health and Medical Research4, RMIT University5, Stockholm University6, Karolinska Institutet7, Stockholm County Council8, Federal Institute for Occupational Safety and Health9, Université libre de Bruxelles10, Ghent University11, University of Düsseldorf12, University of Duisburg-Essen13, Mid Sweden University14, Umeå University15, University of Copenhagen16, University of Turku17, University of Skövde18, Turku University Hospital19, Uppsala University20, Queen's University Belfast21, University of Essex22, University of Edinburgh23, University of Bristol24
TL;DR: Employees who work long hours have a higher risk of stroke than those working standard hours; the association with coronary heart disease is weaker; these findings suggest that more attention should be paid to the management of vascular risk factors in individuals whoWork long hours.
497 citations
Finnish Institute of Occupational Health1, Stockholm University2, University College London3, Karolinska Institutet4, University of Edinburgh5, Federal Institute for Occupational Safety and Health6, French Institute of Health and Medical Research7, University of Düsseldorf8, Loughborough University9, University of Helsinki10, Mid Sweden University11, Université Nantes Angers Le Mans12, Umeå University13, University of Turku14, Uppsala University15, Jönköping University16, Royal College of Surgeons of England17, University of Copenhagen18
TL;DR: Job strain may precipitate clinical depression among employees and future intervention studies should test whether job strain is a modifiable risk factor for depression.
Abstract: BACKGROUND: Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression. METHOD: We identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individual-level data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium. Summary estimates of the association were obtained using random-effects models. Individual-level data analyses were based on a pre-published study protocol. RESULTS: We included six published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published [relative risk (RR) = 1.77, 95% confidence interval (CI) 1.47-2.13] and unpublished datasets (RR = 1.27, 95% CI 1.04-1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR = 1.25, 95% CI 0.94-1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR = 1.03, 95% CI 0.81-1.32). CONCLUSIONS: Job strain may precipitate clinical depression among employees. Future intervention studies should test whether job strain is a modifiable risk factor for depression.
300 citations
Finnish Institute of Occupational Health1, University College London2, University of Edinburgh3, University of Helsinki4, Karolinska Institutet5, RMIT University6, Stockholm University7, Stockholm County Council8, Federal Institute for Occupational Safety and Health9, Université libre de Bruxelles10, Ghent University11, University of Düsseldorf12, National Institutes of Health13, University of Duisburg-Essen14, University of Bristol15, Mid Sweden University16, Umeå University17, University of Copenhagen18, University of Turku19, Turku University Hospital20, Uppsala University21, Harvard University22, French Institute of Health and Medical Research23
TL;DR: The modest association between perceived job insecurity and incident coronary heart disease is partly attributable to poorer socioeconomic circumstances and less favourable risk factor profiles among people with job insecurity.
Abstract: To determine the association between self reported job insecurity and incident coronary heart disease. A meta-analysis combining individual level data from a collaborative consortium and published studies identified by a systematic review. We obtained individual level data from 13 cohort studies participating in the Individual-Participant-Data Meta-analysis in Working Populations Consortium. Four published prospective cohort studies were identified by searches of Medline (to August 2012) and Embase databases (to October 2012), supplemented by manual searches. Prospective cohort studies that reported risk estimates for clinically verified incident coronary heart disease by the level of self reported job insecurity. Two independent reviewers extracted published data. Summary estimates of association were obtained using random effects models. The literature search yielded four cohort studies. Together with 13 cohort studies with individual participant data, the meta-analysis comprised up to 174,438 participants with a mean follow-up of 9.7 years and 1892 incident cases of coronary heart disease. Age adjusted relative risk of high versus low job insecurity was 1.32 (95% confidence interval 1.09 to 1.59). The relative risk of job insecurity adjusted for sociodemographic and risk factors was 1.19 (1.00 to 1.42). There was no evidence of significant differences in this association by sex, age (<50 v ≥ 50 years), national unemployment rate, welfare regime, or job insecurity measure. The modest association between perceived job insecurity and incident coronary heart disease is partly attributable to poorer socioeconomic circumstances and less favourable risk factor profiles among people with job insecurity.
298 citations
Finnish Institute of Occupational Health1, University of Helsinki2, Stockholm County Council3, University College London4, Federal Institute for Occupational Safety and Health5, Université libre de Bruxelles6, Ghent University7, University of Düsseldorf8, University of Duisburg-Essen9, RMIT University10, University of Tampere11, Mid Sweden University12, Stockholm University13, University of Copenhagen14, German Institute for Economic Research15, University of Turku16, Max Planck Society17, Uppsala University18
TL;DR: In this article, a systematic review and meta-analysis of published studies and unpublished individual participant data was conducted to quantify the association between long working hours and alcohol use, showing that individuals whose working hours exceed standard recommendations are more likely to increase their alcohol use to levels that pose a health risk.
Abstract: Objective: To quantify the association between long working hours and alcohol use. Design: Systematic review and meta-analysis of published studies and unpublished individual participant data. Data sources: A systematic search of PubMed and Embase databases in April 2014 for published studies, supplemented with manual searches. Unpublished individual participant data were obtained from 27 additional studies. Review methods: The search strategy was designed to retrieve cross sectional and prospective studies of the association between long working hours and alcohol use. Summary estimates were obtained with random effects meta-analysis. Sources of heterogeneity were examined with meta-regression. Results: Cross sectional analysis was based on 61 studies representing 333 693 participants from 14 countries. Prospective analysis was based on 20 studies representing 100 602 participants from nine countries. The pooled maximum adjusted odds ratio for the association between long working hours and alcohol use was 1.11 (95% confidence interval 1.05 to 1.18) in the cross sectional analysis of published and unpublished data. Odds ratio of new onset risky alcohol use was 1.12 (1.04 to 1.20) in the analysis of prospective published and unpublished data. In the 18 studies with individual participant data it was possible to assess the European Union Working Time Directive, which recommends an upper limit of 48 hours a week. Odds ratios of new onset risky alcohol use for those working 49-54 hours and ≥55 hours a week were 1.13 (1.02 to 1.26; adjusted difference in incidence 0.8 percentage points) and 1.12 (1.01 to 1.25; adjusted difference in incidence 0.7 percentage points), respectively, compared with working standard 35-40 hours (incidence of new onset risky alcohol use 6.2%). There was no difference in these associations between men and women or by age or socioeconomic groups, geographical regions, sample type (population based v occupational cohort), prevalence of risky alcohol use in the cohort, or sample attrition rate. Conclusions: Individuals whose working hours exceed standard recommendations are more likely to increase their alcohol use to levels that pose a health risk.
256 citations
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TL;DR: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee.
Abstract: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Benjamin, MD, ScM, FAHA, Chair Paul Muntner, PhD, MHS, FAHA, Vice Chair Alvaro Alonso, MD, PhD, FAHA Marcio S. Bittencourt, MD, PhD, MPH Clifton W. Callaway, MD, FAHA April P. Carson, PhD, MSPH, FAHA Alanna M. Chamberlain, PhD Alexander R. Chang, MD, MS Susan Cheng, MD, MMSc, MPH, FAHA Sandeep R. Das, MD, MPH, MBA, FAHA Francesca N. Delling, MD, MPH Luc Djousse, MD, ScD, MPH Mitchell S.V. Elkind, MD, MS, FAHA Jane F. Ferguson, PhD, FAHA Myriam Fornage, PhD, FAHA Lori Chaffin Jordan, MD, PhD, FAHA Sadiya S. Khan, MD, MSc Brett M. Kissela, MD, MS Kristen L. Knutson, PhD Tak W. Kwan, MD, FAHA Daniel T. Lackland, DrPH, FAHA Tené T. Lewis, PhD Judith H. Lichtman, PhD, MPH, FAHA Chris T. Longenecker, MD Matthew Shane Loop, PhD Pamela L. Lutsey, PhD, MPH, FAHA Seth S. Martin, MD, MHS, FAHA Kunihiro Matsushita, MD, PhD, FAHA Andrew E. Moran, MD, MPH, FAHA Michael E. Mussolino, PhD, FAHA Martin O’Flaherty, MD, MSc, PhD Ambarish Pandey, MD, MSCS Amanda M. Perak, MD, MS Wayne D. Rosamond, PhD, MS, FAHA Gregory A. Roth, MD, MPH, FAHA Uchechukwu K.A. Sampson, MD, MBA, MPH, FAHA Gary M. Satou, MD, FAHA Emily B. Schroeder, MD, PhD, FAHA Svati H. Shah, MD, MHS, FAHA Nicole L. Spartano, PhD Andrew Stokes, PhD David L. Tirschwell, MD, MS, MSc, FAHA Connie W. Tsao, MD, MPH, Vice Chair Elect Mintu P. Turakhia, MD, MAS, FAHA Lisa B. VanWagner, MD, MSc, FAST John T. Wilkins, MD, MS, FAHA Sally S. Wong, PhD, RD, CDN, FAHA Salim S. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee
5,739 citations
TL;DR: This year's edition of the Statistical Update includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association’s 2020 Impact Goals.
Abstract: Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovas...
5,078 citations
TL;DR: ABI is ankle-brachial (blood pressure) index and ABPM is ambulatory blood pressure monitoring as mentioned in this paper ; ACCORD is action to control cardiovascular risk in Diabetes and Vascular disease.
Abstract: ABI
: ankle–brachial (blood pressure) index
ABPM
: ambulatory blood pressure monitoring
ACCORD
: Action to Control Cardiovascular Risk in Diabetes
ACE-I
: angiotensin-converting enzyme inhibitor
ACS
: acute coronary syndromes
ADVANCE
: Action in Diabetes and Vascular disease: PreterAx
4,352 citations
TL;DR: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascul...
Abstract: Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascul...
3,034 citations
TL;DR: Authors/Task Force Members: Massimo F. Piepoli (Chairperson), Arno W. Hoes (Co-Chairperson) (The Netherlands), Stefan Agewall (Norway) 1, Christian Albus (Germany)9, Carlos Brotons (Spain)10, Alberico L. Catapano (Italy)3, Marie-Therese Cooney (Ireland)1, Ugo Corrà (Italy).
Abstract: Authors/Task Force Members: Massimo F. Piepoli* (Chairperson) (Italy), Arno W. Hoes* (Co-Chairperson) (The Netherlands), Stefan Agewall (Norway)1, Christian Albus (Germany)9, Carlos Brotons (Spain)10, Alberico L. Catapano (Italy)3, Marie-Therese Cooney (Ireland)1, Ugo Corrà (Italy)1, Bernard Cosyns (Belgium)1, Christi Deaton (UK)1, Ian Graham (Ireland)1, Michael Stephen Hall (UK)7, F. D. Richard Hobbs (UK)10, Maja-Lisa Løchen (Norway)1, Herbert Löllgen (Germany)8, Pedro Marques-Vidal (Switzerland)1, Joep Perk (Sweden)1, Eva Prescott (Denmark)1, Josep Redon (Spain)5, Dimitrios J. Richter (Greece)1, Naveed Sattar (UK)2, Yvo Smulders (The Netherlands)1, Monica Tiberi (Italy)1, H. Bart van der Worp (The Netherlands)6, Ineke van Dis (The Netherlands)4, W. M. Monique Verschuren (The Netherlands)1
2,189 citations