Literature DB >> 9766917

Job strain and arterial blood pressure, serum cholesterol, and smoking as risk factors for coronary heart disease in Japan.

N Kawakami1, T Haratani, S Araki.   

Abstract

OBJECTIVE: To determine the effects of the job demands-control model on arterial blood pressure, serum total cholesterol, and smoking in male daytime and rotating-shift workers in Japan.
METHODS: The survey was conducted for all employees of an electrical factory in Japan using a mailed questionnaire concerning three job stressors, i.e., job overload, work-pace control, and work-site social support. A blood sample was taken at the same time. Data on 1703 male daytime workers and 1 173 male rotating-shift workers were analyzed. Multiple logistic regression or analysis of covariance (ANCOVA) were employed to determine the effects of the job stressors on systolic and diastolic blood pressure, serum total cholesterol, and smoking with control for other covariates.
RESULTS: Among daytime workers, systolic and diastolic blood pressures were highest in the "high-strain" (i.e., higher job overload + lower work-pace control) group; ANCOVA indicated that a two-way interaction between job overload and work-pace control was significant (P < 0.01). This tendency was not observed among rotating-shift workers. The number of cigarettes smoked per day was greater in groups with lower work-pace control and lower work-site social support among daytime workers (two-way interaction between these two job stressors, P < 0.05); it was greater in groups with lower work-site social support among rotating-shift workers (main effect of work-site social support, P < 0.05).
CONCLUSIONS: Our study suggest that job strain as defined in the job demands-control model is associated with increased systolic and diastolic blood pressures in male daytime workers in Japan. Smoking might be affected by lower work-site social support.

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Year:  1998        PMID: 9766917     DOI: 10.1007/s004200050302

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  20 in total

1.  Association between job strain and prevalence of hypertension: a cross sectional analysis in a Japanese working population with a wide range of occupations: the Jichi Medical School cohort study.

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Authors:  W De Vente; M Olff; J G C Van Amsterdam; J H Kamphuis; P M G Emmelkamp
Journal:  Occup Environ Med       Date:  2003-06       Impact factor: 4.402

4.  Perceived Job Stress and Presence of Hypertension Among Administrative Officers in Sri Lanka.

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Journal:  Asia Pac J Public Health       Date:  2015-08-14       Impact factor: 1.399

5.  Associations between psychological demands, decision latitude, and job strain with smoking in female hotel room cleaners in Las Vegas.

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6.  Impact of anger expression on blood pressure levels in white-color workers with low-coping behavior.

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7.  Effects of job strain on blood pressure: a prospective study of male and female white-collar workers.

Authors:  Chantal Guimont; Chantal Brisson; Gilles R Dagenais; Alain Milot; Michel Vézina; Benoît Mâsse; Jocelyne Moisan; Nathalie Laflamme; Caty Blanchette
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8.  Individual and work-unit measures of psychological demands and decision latitude and the use of antihypertensive medication.

Authors:  S Daugaard; J H Andersen; M B Grynderup; Z A Stokholm; R Rugulies; Å M Hansen; A Kærgaard; S Mikkelsen; J P Bonde; J F Thomsen; K L Christensen; H A Kolstad
Journal:  Int Arch Occup Environ Health       Date:  2014-07-06       Impact factor: 3.015

9.  Increased plasma homocysteine levels in shift working bus drivers.

Authors:  P J F Martins; V D'Almeida; N Vergani; A B A Perez; S Tufik
Journal:  Occup Environ Med       Date:  2003-09       Impact factor: 4.402

10.  Patterns of smoking and its association with psychosocial work conditions among blue-collar and service employees of hospitality venues in Shenyang, PR China.

Authors:  Xun Li; Huiying Liang; Xuelian Li; Peng Guan; Zhihua Yin; Baosen Zhou
Journal:  BMC Public Health       Date:  2010-01-27       Impact factor: 3.295

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