
在145040名韩国人群中使用两种不同的吸烟分层方法研究吸烟与糖尿病之间的关系:自我报告的问卷与尿液可替宁浓度之间的关系
Author(s) -
Kim Ji Hye,
Kim Byung Jin,
Kang Jung Gyu,
Kim Bum Soo,
Kang Jin Ho
Publication year - 2019
Publication title -
journal of diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.949
H-Index - 43
eISSN - 1753-0407
pISSN - 1753-0393
DOI - 10.1111/1753-0407.12837
Subject(s) - cotinine , medicine , odds ratio , diabetes mellitus , nicotine , urine , confidence interval , smoking cessation , cross sectional study , population , endocrinology , environmental health , pathology
Background Although previous studies have assessed the relationship between smoking and diabetes using self‐reported questionnaires, interpretations may be limited by an underestimation of the actual smoking population. This study evaluated the relationship between smoking and diabetes using both self‐reported questionnaires and urine cotinine concentrations. Methods The present cross‐sectional study enrolled 145 040 Koreans in Kangbuk Samsung Health and Cohort Studies between 2011 and 2013. Urinary cotinine was measured after a 10‐hour smoking‐free period. Cotinine‐verified current smoking was defined as a urinary cotinine concentrations ≥50 ng/mL. Results Overall diabetes prevalence in self‐reported (4.5% vs 1.6%) and cotinine‐verified (4.4% vs 2.1%) current smokers was higher than in self‐reported and cotinine‐verified never smokers. Multivariate regression analysis showed that cotinine‐verified current smoking (odds ratio [OR] 1.25; 95% confidence interval [CI] 1.13‐1.38), self‐reported former smoking (OR 1.16; 95% CI 1.01‐1.33) and current smoking (OR 1.33; 95% CI 1.17‐1.50) were associated with increased diabetes compared with cotinine‐verified and self‐reported never smoking. Unobserved smoking (OR 1.79; 95% CI 1.20, 2.66) also increased the odds for diabetes. There were no significant sex interactions in the analyses. Conclusions This study shows that self‐reported former and current smoking, cotinine‐verified current smoking, and unobserved smoking (i.e. self‐reported never smoking with urine cotinine >50 ng/mL) are all associated with increased diabetes prevalence. These findings suggest that cotinine could provide additional information when assessing cardiometabolic risks, such as diabetes.