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J.Health Sci., 50(6), 561-569, 2004
Weight Gain and Obesity are Associated with Dyslipidemia, Hyperuricemia, and Liver
Dysfunction in Japanese Young Male Workers
Takero Kaido,*, a Yasushi
Honda,b and Kuniaki
Kitamurac
aOsaka Prefecture College of Nursing, 3-7-30 Habikino, Habikino City, Osaka 583-8555, Japan,
bInstitute of Health and Sports Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8574, Japan, and
cNational Printing Bureau, 2-2-4 Toranomon, Minato-ku, Tokyo 105-8445, Japan
The purpose of this cohort study was to identify the predictors of lifestyle-related disorders, such as dyslipidemia,
hyperuricemia, and liver dysfunction in Japanese young male workers. As candidates for the predictors, we chose
obesity at entry and weight gain. The study subjects were 166 Japanese male workers aged 28 to 35 years at two
printing plants in Tokyo who showed no blood abnormalities on 6 chemistry items,
i.e., total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), uric acid (UA), aspartate aminotransferase (AST), alanine
aminotransferase (ALT), and gamma glutamyl transferase (GGT); the subjects completed a self-administered questionnaire
survey in 1993, and underwent blood examinations in 2000. Covariates we included in the models were age,
drinking habit, smoking habit and regular exercise. Linear regression models revealed that weight gain was consistently
associated with the above 6 blood chemistry items at endpoint, whereas obesity was not a better predictive variable
than weight gain except for UA. Logistic regression models showed that the odds ratios (ORs) of each 5% weight
gain were 1.47 [95% confidence interval (CI): 0.94-2.28] for high TC, 1.27 (0.88-1.84) for high UA, 2.61
(1.32-5.18) for high ALT, and 1.88 (1.14-3.11) for high GGT. The ORs of obesity were 3.05 (0.98-9.50) for high TC, 3.88
(1.40-10.8) for high UA, 4.94 (1.05-23.22) for high ALT, and 1.78 (0.43-7.31) for GGT. In conclusion, for a period
during which workers do not undergo blood tests, weight gain, in combination with obesity, may be used as a
predictor of the later occurrence of blood abnormalities.
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