Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Hoon Sung Choi  (Choi HS) 2 Articles
The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea (Diabetes Metab J 2020;44: 699-710)
Hoon Sung Choi, Sung Woo Lee, Jin Taek Kim, Hong Kyu Lee
Diabetes Metab J. 2020;44(6):944-945.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0249
  • 3,738 View
  • 66 Download
PDFPubReader   ePub   
Metabolic Risk/Epidemiology
Article image
The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea
Hoon Sung Choi, Sung Woo Lee, Jin Taek Kim, Hong Kyu Lee
Diabetes Metab J. 2020;44(5):699-710.   Published online April 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0109
  • 6,976 View
  • 113 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

We sought to explore whether reduced pulmonary function is an independent risk factor for incident diabetes in Koreans.

Methods

We conducted a prospective cohort study of pulmonary function as a risk factor for incident diabetes using 10-year follow-up data from 3,864 middle-aged adults from the Ansung cohort study in Korea. The incidence of diabetes was assessed using both oral glucose tolerance tests and glycosylated hemoglobin levels.

Results

During 37,118 person-years of follow-up, 583 participants developed diabetes (incidence rate: 15.7 per 1,000 person-years). The mean follow-up period was 8.0±3.7 years. Forced vital capacity (FVC; % predicted) and forced expiratory volume in 1 second (FEV1; % predicted) were significantly correlated with incident diabetes in a graded manner after adjustment for sex, age, smoking, exercise, and metabolic parameters. The adjusted hazard ratio (HR) and confidence interval (CI) for diabetes were 1.408 (1.106 to 1.792) and 1.469 (1.137 to 1.897) in the first quartiles of FVC and FEV1, respectively, when compared with the highest quartile. Furthermore, the FVC of the lowest first and second quartiles showed a significantly higher 10-year panel homeostasis model assessment of insulin resistance index, with differences of 0.095 (95% CI, 0.010 to 0.018; P=0.028) and 0.127 (95% CI, 0.044 to 0.210; P=0.003), respectively, when compared to the highest quartiles.

Conclusion

FVC and FEV1 are independent risk factors for developing diabetes in Koreans. Pulmonary factors are possible risk factors for insulin resistance and diabetes.

Citations

Citations to this article as recorded by  
  • Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data
    Hye Ah Lee, Hyesook Park, Young Sun Hong
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Forced vital capacity and body mass index of Xinjiang children and adolescents: an analysis based on seven successive national surveys, 1985–2014
    Feng Zhang, Cunjian Bi, Xiaojian Yin, Yuan Liu, Yaru Guo, Pengwei Sun, Jun Hong, Yanyan Hu
    BMC Public Health.2024;[Epub]     CrossRef
  • Relationships among Dioxin-like Mitochondria Inhibitor Substances (MIS)-Mediated Mitochondria Dysfunction, Obesity, and Lung Function in a Korean Cohort
    Hoonsung Choi, Kyungho Ha, Jin Taek Kim, Min Kyong Moon, Hyojee Joung, Hong Kyu Lee, Youngmi Kim Pak
    Toxics.2024; 12(10): 735.     CrossRef
  • Independent and combined associations of multiple-heavy-metal exposure with lung function: a population-based study in US children
    Yiting Chen, Anda Zhao, Rong Li, Wenhui Kang, Jinhong Wu, Yong Yin, Shilu Tong, Shenghui Li, Jianyu Chen
    Environmental Geochemistry and Health.2023; 45(7): 5213.     CrossRef
  • Role of Pulmonary Function in Predicting New-Onset Cardiometabolic Diseases and Cardiometabolic Multimorbidity
    Guochen Li, Yanqiang Lu, Yanan Qiao, Die Hu, Chaofu Ke
    CHEST.2022; 162(2): 421.     CrossRef
  • Reduced lung function predicts risk of incident type 2 diabetes: insights from a meta-analysis of prospective studies
    Yunping Zhou, Fei Meng, Min Wang, Linlin Li, Pengli Yu, Yunxia Jiang
    Endocrine Journal.2022; 69(3): 299.     CrossRef
  • Development of Various Diabetes Prediction Models Using Machine Learning Techniques
    Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
    Diabetes & Metabolism Journal.2022; 46(4): 650.     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
  • The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea (Diabetes Metab J 2020;44: 699-710)
    Hoon Sung Choi, Sung Woo Lee, Jin Taek Kim, Hong Kyu Lee
    Diabetes & Metabolism Journal.2020; 44(6): 944.     CrossRef
  • The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea (Diabetes Metab J 2020;44: 699-710)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2020; 44(6): 940.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP