Evidence map›Paper›PMID 33975592›Full record

ArticleLipids in health and disease2021

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  16. Subclinical cardiovascular disease and utility of coronary artery calcium score.International journal of cardiology. Heart & vasculature · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

Wonhee Baek *Department of Nursing, Yonsei University Graduate School, Seoul, Republic of Korea.
Ji-Won Lee *Department of Family Medicine, Yonsei University College of Medicine Gangnam Severance Hospital, Seoul, Republic of Korea.
Hye Sun LeeBiostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea.
Donghee HanDepartment of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Su-Yeon ChoiDivision of Cardiology, Seoul National University Healthcare System Gangnam Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eun Ju ChunDepartment of Radiology, Seoul National University Bundang Hospital, Seoul, Republic of Korea.
Hae-Won HanDepartment of Internal Medicine, Gangnam Heartscan Clinic, Seoul, Republic of Korea.
Sung Hak ParkDepartment of Radiology, Gangnam Heartscan Clinic, Seoul, Republic of Korea.
Jidong SungDivision of Cardiology, Department of Medicine, Sungkyunkwan University School of Medicine, Heart Stroke and Vascular Institute, Samsung Medical Center, Seoul, Republic of Korea.
Hae Ok JungDivision of Cardiology, Cardiovascular Center, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Hyangkyu LeeDepartment of Nursing, Yonsei University Graduate School, Seoul, Republic of Korea. hkyulee@yuhs.ac.ORCID http://orcid.org/0000-0002-0821-6020
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea. hjchang@yuhs.ac.
Yonsei University · KRCedars-Sinai Medical Center · USSamsung Medical Center · KRSeoul National University Bundang Hospital · KRSeoul National University Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRYonsei University Health System · KR

Funding

Institute for Information and Communications Technology Promotion (KR) 2019-31-1293Ministry of Trade, Industry and Energy 20002781National Research Foundation of Korea NRF-2019R1A2C1010043
6 · The paper itself

Abstract

backgroundThe 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.

methodsThis 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.

resultsThe 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.

conclusionsSmoking 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.

Indexed as

AdultAgedAged, 80 and overAlcohol DrinkingArea Under CurveBlood GlucoseCalcinosisCoronary Artery DiseaseCross-Sectional StudiesDatasets as TopicHumansInsulin ResistanceLogistic ModelsMaleMiddle AgedNutrition SurveysBlood GlucoseTriglyceridesAlcohol consumptionCross-sectional studyInsulin resistanceKoreanLife-style modificationSmokingTriglyceride glucose index

Identifiers

PMID33975592
PMCPMC8111749
OpenAlexW3160671355

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.