Relationship between job strain and radial arterial wave reflection in middle-aged male workers

Abstract Objective This study examined the relationship between job stain and radial arterial wave reflection as expressed by the augmentation index (AI), a marker of cardiovascular risk, in middle-aged male workers. Methods Radial AI was measured using automated applanation tonometry in 808 working...

Full description

Saved in:
Bibliographic Details
Published in:Preventive medicine 2009-08, Vol.49 (2), p.260-264
Main Authors: Otsuka, Toshiaki, Kawada, Tomoyuki, Ibuki, Chikao, Kusama, Yoshiki
Format: Article
Language:English
Subjects:
Adult
Age Factors
Augmentation index
Blood Pressure - physiology
Cardiovascular disease
Cardiovascular diseases
Cardiovascular Diseases - etiology
Cohort Studies
Employment - psychology
Humans
Internal Medicine
Japan
Job characteristics
Job control
Job strain
Male
Men
Middle Aged
Middle aged people
Occupational health
Pulse wave analysis
Radial Artery - physiopathology
Reflection
Regional Blood Flow - physiology
Risk Factors
Sex Factors
Stress, Psychological - physiopathology
Surveys and Questionnaires
Workload - psychology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Objective This study examined the relationship between job stain and radial arterial wave reflection as expressed by the augmentation index (AI), a marker of cardiovascular risk, in middle-aged male workers. Methods Radial AI was measured using automated applanation tonometry in 808 working men (mean age; 47 ± 5 years) at a company in Kanagawa, Japan in 2007. An elevated AI represents the deterioration of arterial properties and increased cardiovascular risk. Job demand and job control (decision latitude) were evaluated by a self-administered, Brief Job Stress Questionnaire. High job strain was defined as the combination of high job demand and low job control. Results In the entire study population, the mean ± SD and the median of AI were 74 ± 13% and 75%, respectively. High job strain was seen in 267 subjects. In a multiple logistic regression analysis with adjustment for multiple potential confounders, high job strain showed a significantly increased odds ratio (1.47, 95% CI; 1.04–2.09, P = 0.029) for an elevated AI (≥ 75%). Conclusion High job strain was significantly associated with an elevated radial AI. The measurement of AI may be useful when incorporated in workplace interventions to reduce the risk of cardiovascular disease, especially at sites where workers tend to perceive high job strain.
ISSN:0091-7435
1096-0260
DOI:10.1016/j.ypmed.2009.07.005