Association of smoking status, insulin resistance, body mass index, and metabolic syndrome in workers: A 1-year follow-up study

Objective: We performed a 1-year follow-up study to determine the effects of smoking status and insulin resistance on the prevalence of metabolic syndrome. Methods: This study included 2136 workers without metabolic syndrome at baseline who were followed for 1 year. The subjects were divided into four categories of smoking and work history, respectively. Insulin resistance was evaluated using the homeostasis model assessment for insulin resistance (HOMA-R). Results: The prevalence of metabolic syndrome after 1 year was 6.3%. A multiple logistic regression analysis showed that the current smokers category versus the nonsmokers category, a 0.1-point increase in the HOMA-R score, a 1-point increase in the uric acid level, age, and body mass index were significantly correlated with increased odds for metabolic syndrome, yielding odds ratios (95% confidence intervals) of 1.61 (1.09-2.39), 1.14 (1.04-1.25), 1.31 (1.12-1.54), and 1.06 (1.03-1.09), and 1.23 (1.15-1.31), respectively. Conclusions: Current smoking, insulin resistance, uric acid level, and age contributed positively to the prevalence of metabolic syndrome. In contrast, smoking cessation within 1 year and work history did not contribute to metabolic syndrome. (C) 2009 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.