Long working hours and cardiovascular disease: a meta-analysis of epidemiologic studies
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Long working hours and cardiovascular disease : a meta-analysis of epidemiologic studies. / Kang, Mo-Yeol; Park, Hyunseung; Seo, Jeong-Cheol; Kim, Donghoon; Lim, Youn-Hee; Lim, Sinye; Cho, Soo-Hun; Hong, Yun-Chul.
In: Journal of Occupational and Environmental Medicine, Vol. 54, No. 5, 2012, p. 532-537.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Long working hours and cardiovascular disease
T2 - a meta-analysis of epidemiologic studies
AU - Kang, Mo-Yeol
AU - Park, Hyunseung
AU - Seo, Jeong-Cheol
AU - Kim, Donghoon
AU - Lim, Youn-Hee
AU - Lim, Sinye
AU - Cho, Soo-Hun
AU - Hong, Yun-Chul
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Adult
KW - Aged
KW - Cardiovascular Diseases/epidemiology
KW - Confidence Intervals
KW - Female
KW - Humans
KW - Male
KW - Middle Aged
KW - Odds Ratio
KW - Time Factors
KW - Work Schedule Tolerance/physiology
KW - Young Adult
U2 - 10.1097/JOM.0b013e31824fe192
DO - 10.1097/JOM.0b013e31824fe192
M3 - Journal article
C2 - 22576460
VL - 54
SP - 532
EP - 537
JO - Journal of Occupational and Environmental Medicine
JF - Journal of Occupational and Environmental Medicine
SN - 1076-2752
IS - 5
ER -
ID: 230071873