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Response: Association between Cigarette Smoking and New-Onset Diabetes Mellitus in 78,212 Koreans Using Self-Reported Questionnaire and Urine Cotinine (Diabetes Metab J 2020;44:426–35)
Ji Hye Kim, Byung Jin Kimorcid
Diabetes & Metabolism Journal 2020;44(4):623-624.
DOI: https://doi.org/10.4093/dmj.2020.0169
Published online: August 21, 2020
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Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Corresponding author: Byung Jin Kim. Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea. bjjake.kim@samsung.com

Copyright © 2020 Korean Diabetes Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

See the Original "Association between Cigarette Smoking and New-Onset Diabetes Mellitus in 78,212 Koreans Using Self-Reported Questionnaire and Urine Cotinine" on page 426.
We would like to thank Professor Bo-Yeon Kim for her interest in our study and her valuable comments [1].
We agree with Professor Kim that a family history of type 2 diabetes mellitus (T2DM) is an important factor in T2DM development. While we did not include this information in our study, according to our data, 13.4% (n=10,456/78,212) of our study population had a family history of T2DM. This value was approximately 2-fold higher in the new-onset diabetes mellitus (NODM) (+) group compared to the NODM (−) group (24.2% vs. 13.2%, P<0.001). In our multivariate-adjusted Cox-hazard regression analysis, which included T2DM family history, the association between smoking status and NODM was similar to the main results of our study (relative risk [RR], 1.33; 95% confidence interval [CI], 1.07 to 1.65 for self-reported current smoking) (RR, 1.18; 95% CI, 0.94 to 1.48 for self-reported former smoking).
Second, we agree that weight again after smoking cessation may have affected NODM prevalence in self-reported former smokers. The mean body weight difference during 27 months of follow-up in never, former and current self-reported smoking groups was 0.6±3.1, 0.3±3.2, and 0.8±3.3 kg. Unlike previous studies that observed weight gain in former smokers after smoking cessation, the difference in weight gain was minimal in our study's former smoking group. We adjusted for ‘body weight change’ variable in our multivariate analysis and the key results were similar to our original findings (RR, 1.32; 95% CI, 1.06 to 1.64 for self-reported current smoking) (RR, 1.23; 95% CI, 0.98 to 1.55 for self-reported former smoking). We conducted subgroup analysis by classifying self-reported former smoking group into three subgroups depending on weight change: ≥−1 kg weight reduction, −1±2 kg weight change and ≥2 kg weight gain. In this subgroup analysis, significantly increased risk of NODM was only observed in self-reported former smokers who gained more than 2 kg (RR, 1.00; 95% CI, 0.62 to 1.63; P=0.98 for the ≥−1 kg subgroup) (RR, 1.15; 95% CI, 0.82 to 1.64; P=0.42 for the −1±2 kg subgroup) (RR, 1.10; 95% CI, 1.00 to 2.26; P=0.049 for the ≥2 kg subgroup). Therefore, this finding could suggest that weight gain after smoking cessation does not increase risk of NODM.
Third, we agree with your comment that different studies have set different urinary cotinine cut-off values for distinguishing current smokers from non-smokers, and there is not yet an established cut-off value. We employed a urine cotinine cut-off level of ≥50 ng/mL based on the Society for Research on Nicotine and Tobacco (SRNT) recommendation published in 2002, which is one of the most widely used cut-off levels for distinguishing current from never smokers. [2] Also, our previous longitudinal study, which assessed 167,868 individuals using a cut-off level of 50 ng/mL, provided high sensitivity (84.8%) and specificity (98.2%) in differentiating current from never smokers. [3]
We are grateful for Professor Kim's valuable comments to our study.

CONFLICTS OF INTEREST: No potential conflict of interest relevant to this article was reported.

  • 1. Kim JH, Seo DC, Kim BJ, Kang JG, Lee SJ, Lee SH, Kim BS, Kang JH. Association between cigarette smoking and new-onset diabetes mellitus in 78,212 Koreans using self-reported questionnaire and urine cotinine. Diabetes Metab J 2020;44:426-435. ArticlePubMedPDF
  • 2. SRNT Subcommittee on Biochemical Verification. Biochemical verification of tobacco use and cessation. Nicotine Tob Res 2002;4:149-159. ArticlePubMed
  • 3. Kim BJ, Seo DC, Kim BS, Kang JH. Relationship between cotinine-verified smoking status and incidence of hypertension in 74,743 Korean adults. Circ J 2018;82:1659-1665. ArticlePubMed

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        Response: Association between Cigarette Smoking and New-Onset Diabetes Mellitus in 78,212 Koreans Using Self-Reported Questionnaire and Urine Cotinine (Diabetes Metab J 2020;44:426–35)
        Diabetes Metab J. 2020;44(4):623-624.   Published online August 21, 2020
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