Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea

Wonhee Baek; Ji Won Lee; Hye Sun Lee; Donghee Han; Su Yeon Choi; Eun Ju Chun; Hae Won Han; Sung Hak Park; Jidong Sung; Hae Ok Jung; Hyangkyu Lee; Hyuk Jae Chang

doi:10.1186/s12944-021-01472-2

Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea

Wonhee Baek, Ji Won Lee, Hye Sun Lee, Donghee Han, Su Yeon Choi, Eun Ju Chun, Hae Won Han, Sung Hak Park, Jidong Sung, Hae Ok Jung, Hyangkyu Lee, Hyuk Jae Chang

Division of Cardiology

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Background: The triglyceride glucose (TyG) index is a noninsulin-based marker for insulin resistance (IR) in general practice. Although smoking and heavy drinking have been regarded as major risk factors for various chronic diseases, there is limited evidence regarding the combined effects of smoking and alcohol consumption on IR. This study aimed to investigate the relationship between the TyG index and smoking and alcohol consumption using two Korean population-based datasets. Methods: This study included 10,568 adults in the Korean National Health and Nutrition Examination Survey (KNHANES) and 9586 adults in the Korean Initiatives on Coronary Artery Calcification (KOICA) registry datasets. Multivariate logistic analysis was conducted to explore the relationship between smoking and alcohol consumption and the TyG index. To assess the predictive value of smoking and alcohol consumption on high TyG index, the area under the curve (AUC) were compared and net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analyses were derived. Results: The combined effect of smoking and alcohol consumption was an independent risk factor of a higher TyG index in the KNHANES (adjusted odds ratio: 4.33, P <.001) and KOICA (adjusted odds ratio: 1.94, P <.001) datasets. Adding smoking and alcohol consumption to the multivariate logistic models improved the model performance for the TyG index in the KNHANES (AUC: from 0.817 to 0.829, P <.001; NRI: 0.040, P <.001; IDI: 0.017, P <.001) and KOICA (AUC: from 0.822 to 0.826, P <.001; NRI: 0.025, P =.006; IDI: 0.005, P <.001) datasets. Conclusions: Smoking and alcohol consumption were independently associated with the TyG index. Concurrent smokers and alcohol consumers were more likely to have a TyG index that was ≥8.8 and higher than the TyG indices of non-users and those who exclusively consumed alcohol or smoking tobacco.

Original language	English
Article number	49
Journal	Lipids in Health and Disease
Volume	20
Issue number	1
DOIs	https://doi.org/10.1186/s12944-021-01472-2
State	Published - Dec 2021

Bibliographical note

Funding Information:
This work was supported by the Technology Innovation Program (20002781, A Platform for Prediction and Management of Health Risk Based on Personal Big Data and Lifelogging) funded by the Ministry of Trade, Industry and Energy (MOTIE, South Korea) to JW Lee, and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2019R1A2C1010043) to H Lee. Additionally, this work was supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2019-31-1293), for autonomous digital companion framework and application to HJ Chang.

Publisher Copyright:
© 2021, The Author(s).

Keywords

Alcohol consumption
Cross-sectional study
Insulin resistance
Korean
Life-style modification
Smoking
Triglyceride glucose index

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1186/s12944-021-01472-2

Cite this

Baek, W., Lee, J. W., Lee, H. S., Han, D., Choi, S. Y., Chun, E. J., Han, H. W., Park, S. H., Sung, J., Jung, H. O., Lee, H., & Chang, H. J. (2021). Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea. Lipids in Health and Disease, 20(1), Article 49. https://doi.org/10.1186/s12944-021-01472-2

@article{033fbe75de7d4ce5a61240c3c897f4f3,

title = "Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea",

abstract = "Background: The triglyceride glucose (TyG) index is a noninsulin-based marker for insulin resistance (IR) in general practice. Although smoking and heavy drinking have been regarded as major risk factors for various chronic diseases, there is limited evidence regarding the combined effects of smoking and alcohol consumption on IR. This study aimed to investigate the relationship between the TyG index and smoking and alcohol consumption using two Korean population-based datasets. Methods: This study included 10,568 adults in the Korean National Health and Nutrition Examination Survey (KNHANES) and 9586 adults in the Korean Initiatives on Coronary Artery Calcification (KOICA) registry datasets. Multivariate logistic analysis was conducted to explore the relationship between smoking and alcohol consumption and the TyG index. To assess the predictive value of smoking and alcohol consumption on high TyG index, the area under the curve (AUC) were compared and net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analyses were derived. Results: The combined effect of smoking and alcohol consumption was an independent risk factor of a higher TyG index in the KNHANES (adjusted odds ratio: 4.33, P <.001) and KOICA (adjusted odds ratio: 1.94, P <.001) datasets. Adding smoking and alcohol consumption to the multivariate logistic models improved the model performance for the TyG index in the KNHANES (AUC: from 0.817 to 0.829, P <.001; NRI: 0.040, P <.001; IDI: 0.017, P <.001) and KOICA (AUC: from 0.822 to 0.826, P <.001; NRI: 0.025, P =.006; IDI: 0.005, P <.001) datasets. Conclusions: Smoking and alcohol consumption were independently associated with the TyG index. Concurrent smokers and alcohol consumers were more likely to have a TyG index that was ≥8.8 and higher than the TyG indices of non-users and those who exclusively consumed alcohol or smoking tobacco.",

keywords = "Alcohol consumption, Cross-sectional study, Insulin resistance, Korean, Life-style modification, Smoking, Triglyceride glucose index",

author = "Wonhee Baek and Lee, {Ji Won} and Lee, {Hye Sun} and Donghee Han and Choi, {Su Yeon} and Chun, {Eun Ju} and Han, {Hae Won} and Park, {Sung Hak} and Jidong Sung and Jung, {Hae Ok} and Hyangkyu Lee and Chang, {Hyuk Jae}",

note = "Funding Information: This work was supported by the Technology Innovation Program (20002781, A Platform for Prediction and Management of Health Risk Based on Personal Big Data and Lifelogging) funded by the Ministry of Trade, Industry and Energy (MOTIE, South Korea) to JW Lee, and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2019R1A2C1010043) to H Lee. Additionally, this work was supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2019-31-1293), for autonomous digital companion framework and application to HJ Chang. Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = dec,

doi = "10.1186/s12944-021-01472-2",

language = "English",

volume = "20",

journal = "Lipids in Health and Disease",

issn = "1476-511X",

publisher = "BioMed Central Ltd.",

number = "1",

}

Baek, W, Lee, JW, Lee, HS, Han, D, Choi, SY, Chun, EJ, Han, HW, Park, SH, Sung, J, Jung, HO, Lee, H & Chang, HJ 2021, 'Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea', Lipids in Health and Disease, vol. 20, no. 1, 49. https://doi.org/10.1186/s12944-021-01472-2

TY - JOUR

T1 - Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers

T2 - a cross-sectional study in Korea

AU - Baek, Wonhee

AU - Lee, Ji Won

AU - Lee, Hye Sun

AU - Han, Donghee

AU - Choi, Su Yeon

AU - Chun, Eun Ju

AU - Han, Hae Won

AU - Park, Sung Hak

AU - Sung, Jidong

AU - Jung, Hae Ok

AU - Lee, Hyangkyu

AU - Chang, Hyuk Jae

N1 - Funding Information: This work was supported by the Technology Innovation Program (20002781, A Platform for Prediction and Management of Health Risk Based on Personal Big Data and Lifelogging) funded by the Ministry of Trade, Industry and Energy (MOTIE, South Korea) to JW Lee, and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2019R1A2C1010043) to H Lee. Additionally, this work was supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2019-31-1293), for autonomous digital companion framework and application to HJ Chang. Publisher Copyright: © 2021, The Author(s).

PY - 2021/12

Y1 - 2021/12

N2 - Background: The triglyceride glucose (TyG) index is a noninsulin-based marker for insulin resistance (IR) in general practice. Although smoking and heavy drinking have been regarded as major risk factors for various chronic diseases, there is limited evidence regarding the combined effects of smoking and alcohol consumption on IR. This study aimed to investigate the relationship between the TyG index and smoking and alcohol consumption using two Korean population-based datasets. Methods: This study included 10,568 adults in the Korean National Health and Nutrition Examination Survey (KNHANES) and 9586 adults in the Korean Initiatives on Coronary Artery Calcification (KOICA) registry datasets. Multivariate logistic analysis was conducted to explore the relationship between smoking and alcohol consumption and the TyG index. To assess the predictive value of smoking and alcohol consumption on high TyG index, the area under the curve (AUC) were compared and net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analyses were derived. Results: The combined effect of smoking and alcohol consumption was an independent risk factor of a higher TyG index in the KNHANES (adjusted odds ratio: 4.33, P <.001) and KOICA (adjusted odds ratio: 1.94, P <.001) datasets. Adding smoking and alcohol consumption to the multivariate logistic models improved the model performance for the TyG index in the KNHANES (AUC: from 0.817 to 0.829, P <.001; NRI: 0.040, P <.001; IDI: 0.017, P <.001) and KOICA (AUC: from 0.822 to 0.826, P <.001; NRI: 0.025, P =.006; IDI: 0.005, P <.001) datasets. Conclusions: Smoking and alcohol consumption were independently associated with the TyG index. Concurrent smokers and alcohol consumers were more likely to have a TyG index that was ≥8.8 and higher than the TyG indices of non-users and those who exclusively consumed alcohol or smoking tobacco.

AB - Background: The triglyceride glucose (TyG) index is a noninsulin-based marker for insulin resistance (IR) in general practice. Although smoking and heavy drinking have been regarded as major risk factors for various chronic diseases, there is limited evidence regarding the combined effects of smoking and alcohol consumption on IR. This study aimed to investigate the relationship between the TyG index and smoking and alcohol consumption using two Korean population-based datasets. Methods: This study included 10,568 adults in the Korean National Health and Nutrition Examination Survey (KNHANES) and 9586 adults in the Korean Initiatives on Coronary Artery Calcification (KOICA) registry datasets. Multivariate logistic analysis was conducted to explore the relationship between smoking and alcohol consumption and the TyG index. To assess the predictive value of smoking and alcohol consumption on high TyG index, the area under the curve (AUC) were compared and net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analyses were derived. Results: The combined effect of smoking and alcohol consumption was an independent risk factor of a higher TyG index in the KNHANES (adjusted odds ratio: 4.33, P <.001) and KOICA (adjusted odds ratio: 1.94, P <.001) datasets. Adding smoking and alcohol consumption to the multivariate logistic models improved the model performance for the TyG index in the KNHANES (AUC: from 0.817 to 0.829, P <.001; NRI: 0.040, P <.001; IDI: 0.017, P <.001) and KOICA (AUC: from 0.822 to 0.826, P <.001; NRI: 0.025, P =.006; IDI: 0.005, P <.001) datasets. Conclusions: Smoking and alcohol consumption were independently associated with the TyG index. Concurrent smokers and alcohol consumers were more likely to have a TyG index that was ≥8.8 and higher than the TyG indices of non-users and those who exclusively consumed alcohol or smoking tobacco.

KW - Alcohol consumption

KW - Cross-sectional study

KW - Insulin resistance

KW - Korean

KW - Life-style modification

KW - Smoking

KW - Triglyceride glucose index

UR - http://www.scopus.com/inward/record.url?scp=85105612552&partnerID=8YFLogxK

U2 - 10.1186/s12944-021-01472-2

DO - 10.1186/s12944-021-01472-2

M3 - Article

C2 - 33975592

AN - SCOPUS:85105612552

SN - 1476-511X

VL - 20

JO - Lipids in Health and Disease

JF - Lipids in Health and Disease

IS - 1

M1 - 49

ER -

Concurrent smoking and alcohol consumers had higher triglyceride glucose indices than either only smokers or alcohol consumers: a cross-sectional study in Korea

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this