An inverse association between serum gamma glutamyl transpeptidase activity and Breslow's Lifestyle Index; its practical application for screening of subjects with unhealthy lifestyles.
We examined whether serum gammaGTP activity (gammaGTP) is associated with Breslow's lifestyle index and whether it could be used as a tool to detect subjects with unhealthy lifestyles. To that effect, 724 male Japanese workers excluding patients suffering from hepatitis virus infection, autoimmune liver diseases and apparently active bile duct diseases were cross-sectionally examined. gammaGTP was inversely associated with the total score of Breslow's index for all subjects (lambda=30.643) and in subjects aged 40 or more (lambda=37.073). The association was consistent even after adjustments of subjects' ages and levels of triglycerides, total cholesterol and uric acid (p=0.0001). Among the seven lifestyle factors comprising Breslow's index, improper habits of drinking (p<0.0001), smoking (p=0.0204), exercise (p=0.0189) and body weight control (p<0.0001), were associated with increased gammaGTP. Even in a survey in which subjects who had proper habits of drinking and body weight control were selectively examined, improper habits of smoking and exercise still tended to be associated with increased gammaGTP. Receiver operating characteristic curves indicated that gammaGTP was beneficial for detecting subjects who scored two or less on Breslow's index, at least in subjects aged 40 or more. gammaGTP was associated with insulin resistance level estimated by the homeostasis model assessment (p<0.0001), which was inversely associated with Breslow's index (p=0.0040). gammaGTP could be used as an objective substitute of Breslow's index, allowing us to identify subjects with low scores on Breslow's index, at least after sorting subjects properly. Such screening would enable interventions to correct subjects' unhealthy lifestyles, helping to solve lifestyle-related disease issues.
Yokoyama
Hirokazu
H
Health Center, Keio University, Japan. yokoyama@sc.itc.keio.ac.jp
Ohgo
Hideki
H
Hirose
Hiroshi
H
Moriya
Susumu
S
Hibi
Toshifumi
T
Saito
Ikuo
I
D000328:Adult; D000368:Aged; D000428:Alcohol Drinking; D000704:Analysis of Variance; D003430:Cross-Sectional Studies; D015444:Exercise; D006306:Health Surveys; D006801:Humans; D007564:Japan; D008019:Life Style; D008403:Mass Screening / Q000379:methods*; D008875:Middle Aged; D050177:Overweight; D012372:ROC Curve; D012044:Regression Analysis; D012309:Risk-Taking; D012907:Smoking; D013223:Statistics as Topic; D011795:Surveys and Questionnaires; D017132:Workplace; D005723:gamma-Glutamyltransferase / Q000097:blood* / Q000502:physiology
D005723:gamma-Glutamyltransferase