Abstract
Background: The link between long working hours and health has been extensively studied for decades. Despite global concern regarding metabolic syndrome, however, no studies to date have solely evaluated the relationship between long working hours and that syndrome. We therefore examined the association between long working hours and metabolic syndrome in a cross-sectional study. Methods: Between May and October 2009, we collected data from annual health checkups and questionnaires from employees at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate: 96.2%; 1,314 men, 287 women). After exclusions, including women because of a lack of overtime work, the analysis was performed for 933 men. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for metabolic syndrome. Further, we conducted a stratified analysis by age-group (10 h/day, respectively. Similar patterns were obtained when we excluded shift workers from the analysis. In age-stratified analysis, the corresponding ORs among workers aged ≥40 years were 2.02 (95% CI, 1.04-3.90), 1.21 (95% CI, 0.53-2.77), and 3.14 (95% CI, 1.24-7.95). In contrast, no clear association was found among workers aged
| Original language | English |
|---|---|
| Article number | 395 |
| Journal | BMC Public Health |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2012 |
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Keywords
- Japan
- Long working hours
- Metabolic syndrome
- Trigger level
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
Cite this
Long working hours and metabolic syndrome among Japanese men : A cross-sectional study. / Kobayashi, Tomoko; Suzuki, Etsuji; Takao, Soshi; Doi, Hiroyuki.
In: BMC Public Health, Vol. 12, No. 1, 395, 2012.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Long working hours and metabolic syndrome among Japanese men
T2 - A cross-sectional study
AU - Kobayashi, Tomoko
AU - Suzuki, Etsuji
AU - Takao, Soshi
AU - Doi, Hiroyuki
PY - 2012
Y1 - 2012
N2 - Background: The link between long working hours and health has been extensively studied for decades. Despite global concern regarding metabolic syndrome, however, no studies to date have solely evaluated the relationship between long working hours and that syndrome. We therefore examined the association between long working hours and metabolic syndrome in a cross-sectional study. Methods: Between May and October 2009, we collected data from annual health checkups and questionnaires from employees at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate: 96.2%; 1,314 men, 287 women). After exclusions, including women because of a lack of overtime work, the analysis was performed for 933 men. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for metabolic syndrome. Further, we conducted a stratified analysis by age-group (10 h/day, respectively. Similar patterns were obtained when we excluded shift workers from the analysis. In age-stratified analysis, the corresponding ORs among workers aged ≥40 years were 2.02 (95% CI, 1.04-3.90), 1.21 (95% CI, 0.53-2.77), and 3.14 (95% CI, 1.24-7.95). In contrast, no clear association was found among workers aged
AB - Background: The link between long working hours and health has been extensively studied for decades. Despite global concern regarding metabolic syndrome, however, no studies to date have solely evaluated the relationship between long working hours and that syndrome. We therefore examined the association between long working hours and metabolic syndrome in a cross-sectional study. Methods: Between May and October 2009, we collected data from annual health checkups and questionnaires from employees at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate: 96.2%; 1,314 men, 287 women). After exclusions, including women because of a lack of overtime work, the analysis was performed for 933 men. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for metabolic syndrome. Further, we conducted a stratified analysis by age-group (10 h/day, respectively. Similar patterns were obtained when we excluded shift workers from the analysis. In age-stratified analysis, the corresponding ORs among workers aged ≥40 years were 2.02 (95% CI, 1.04-3.90), 1.21 (95% CI, 0.53-2.77), and 3.14 (95% CI, 1.24-7.95). In contrast, no clear association was found among workers aged
KW - Japan
KW - Long working hours
KW - Metabolic syndrome
KW - Trigger level
UR - http://www.scopus.com/inward/record.url?scp=84861641403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861641403&partnerID=8YFLogxK
U2 - 10.1186/1471-2458-12-395
DO - 10.1186/1471-2458-12-395
M3 - Article
C2 - 22651100
AN - SCOPUS:84861641403
VL - 12
JO - BMC Public Health
JF - BMC Public Health
SN - 1471-2458
IS - 1
M1 - 395
ER -