OBJECTIVE: To conduct a meta-analysis from published studies to evaluate the relationship between long working hours and the risk of cardiovascular disease (CVD). METHODS: Among a total of 341 published studies found from publicly accessible databases, five cohort studies and six case-control studies were analyzed for the study. RESULTS: Statistically significant heterogeneity has been observed (P = 0.037). The effect of longer working hours was significantly associated with the risk of CVD in the random-effects model of all 11 studies (odds ratio, 1.37; 95% confidence interval, 1.11 to 1.70). On the basis of meta-regression analysis, the result was not affected by the mean age, region, or the study year. The P value using Eager test was 0.701 suggesting this analysis was unlikely to have any publication bias. CONCLUSIONS: These findings provide evidence of increased CVD with long working hours.
OBJECTIVE: To conduct a meta-analysis from published studies to evaluate the relationship between long working hours and the risk of cardiovascular disease (CVD). METHODS: Among a total of 341 published studies found from publicly accessible databases, five cohort studies and six case-control studies were analyzed for the study. RESULTS: Statistically significant heterogeneity has been observed (P = 0.037). The effect of longer working hours was significantly associated with the risk of CVD in the random-effects model of all 11 studies (odds ratio, 1.37; 95% confidence interval, 1.11 to 1.70). On the basis of meta-regression analysis, the result was not affected by the mean age, region, or the study year. The P value using Eager test was 0.701 suggesting this analysis was unlikely to have any publication bias. CONCLUSIONS: These findings provide evidence of increased CVD with long working hours.
Authors: Penelope J Allison; Neal W Jorgensen; Desta Fekedulegn; Paul Landsbergis; Michael E Andrew; Capri Foy; Karen Hinckley Stukovsky; Luenda E Charles Journal: Am J Ind Med Date: 2019-12-17 Impact factor: 2.214
Authors: Luenda E Charles; Desta Fekedulegn; Paul Landsbergis; Cecil M Burchfiel; Sherry Baron; Joel D Kaufman; Karen Hinckley Stukovsky; Kaori Fujishiro; Capri G Foy; Michael E Andrew; Ana V Diez Roux Journal: J Occup Environ Med Date: 2014-11 Impact factor: 2.162
Authors: Jian Li; Frank Pega; Yuka Ujita; Chantal Brisson; Els Clays; Alexis Descatha; Marco M Ferrario; Lode Godderis; Sergio Iavicoli; Paul A Landsbergis; Maria-Inti Metzendorf; Rebecca L Morgan; Daniela V Pachito; Hynek Pikhart; Bernd Richter; Mattia Roncaioli; Reiner Rugulies; Peter L Schnall; Grace Sembajwe; Xavier Trudel; Akizumi Tsutsumi; Tracey J Woodruff; Johannes Siegrist Journal: Environ Int Date: 2020-06-05 Impact factor: 9.621
Authors: Yu-Hsuan Lin; Yen-Cheng Ho; Sheng-Hsuan Lin; Yao-Hsien Yeh; Chia-Yih Liu; Terry B J Kuo; Cheryl C H Yang; Albert C Yang Journal: PLoS One Date: 2013-06-04 Impact factor: 3.240
Authors: Katriina Heikkila; Solja T Nyberg; Ida E H Madsen; Ernest de Vroome; Lars Alfredsson; Jacob J Bjorner; Marianne Borritz; Hermann Burr; Raimund Erbel; Jane E Ferrie; Eleonor I Fransson; Goedele A Geuskens; Wendela E Hooftman; Irene L Houtman; Karl-Heinz Jöckel; Anders Knutsson; Markku Koskenvuo; Thorsten Lunau; Martin L Nielsen; Maria Nordin; Tuula Oksanen; Jan H Pejtersen; Jaana Pentti; Martin J Shipley; Andrew Steptoe; Sakari B Suominen; Töres Theorell; Jussi Vahtera; Peter J M Westerholm; Hugo Westerlund; Nico Dragano; Reiner Rugulies; Ichiro Kawachi; G David Batty; Archana Singh-Manoux; Marianna Virtanen; Mika Kivimäki Journal: Br J Cancer Date: 2016-02-18 Impact factor: 7.640