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

• Published in: Obesity research & clinical practice 2010-07, Vol.4 (3), p.e163-e169
• Main Authors: Kawada, Tomoyuki, Otsuka, Toshiaki, Inagaki, Hirofumi, Wakayama, Yoko, Li, Qing, Li, Ying Ji, Katsumata, Masao
• Format: Article
• Language: English
• Subjects: Endocrinology & Metabolism; Internal Medicine
• ISSN: 1871-403X
• DOI: 10.1016/j.orcp.2009.12.004

Summary 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 non-smokers 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.