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Original Articles
Smoking Is Associated With Abdominal Obesity, Not Overall Obesity, in Men With Type 2 Diabetes
Ji Eun Yun, Heejin Kimm, Young Ju Choi, Sun Ha Jee, Kap Bum Huh
J Prev Med Public Health. 2012;45(5):316-322.   Published online September 28, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.5.316
  • 9,223 View
  • 98 Download
  • 16 Crossref
AbstractAbstract PDF
Objectives

Abdominal obesity increases mortality and morbidity from cardiovascular disease and there is a possibility that smoking effects obesity. However, previous studies concerning the effects of smoking on obesity are inconsistent. The objective of this study was to examine whether smoking is positively related to abdominal obesity in men with type 2 diabetes.

Methods

Subjects consisted of 2197 type 2 diabetic patients who visited Huh's Diabetes Center from 2003 to 2009. Indices of abdominal obesity were defined as visceral fat thickness (VFT) measured by ultrasonography and waist circumference (WC). Overall obesity was defined as body mass index (BMI).

Results

Statistically significant differences in WC and VFT by smoking status were identified. However, there was no statistical difference in BMI according to smoking status. Means of WC and VFT were not significantly higher in heavy smokers and lower in mild smokers. Compared to nonsmokers, the BMI confounder adjusted odds ratio and 95% confidence interval for VFT in ex-smokers and current-smokers were 1.70 (1.21 to 2.39) and 1.86 (1.27 to 2.73), respectively.

Conclusions

Smoking status was positively associated with abdominal obesity in type 2 diabetic patients.

Summary

Citations

Citations to this article as recorded by  
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    Valentine Budambula, Moses Ngari, Nancy L.M. Budambula, Aabid A. Ahmed, Tom Were
    BMC Nutrition.2024;[Epub]     CrossRef
  • Smoking and cardiovascular disease in patients with type 2 diabetes: a prospective observational study
    Peder af Geijerstam, Fredrik Janryd, Fredrik H. Nyström
    Journal of Cardiovascular Medicine.2023; 24(11): 802.     CrossRef
  • Prevalence and Predictors of Combined Body Mass Index and Waist Circumference Among Indian Adults
    Neha Shri, Saurabh Singh, Akancha Singh
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China
    Chuan Huang, Ying Zhang, Ya Liu, Jian-Xiong Liu, Yong-Mei Hu, Wei-Wei Tang, Tzung-Dau Wang, Xiao-bo Huang
    Frontiers in Public Health.2023;[Epub]     CrossRef
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    Lindsay Joyce Nitsche, Sarbajit Mukherjee, Kareena Cheruvu, Cathleen Krabak, Rohit Rachala, Kalyan Ratnakaram, Priyanka Sharma, Maddy Singh, Sai Yendamuri
    Cancers.2022; 14(6): 1440.     CrossRef
  • Long-Term Adverse Effects of Cigarette Smoking on the Incidence Risk of Metabolic Syndrome With a Dose-Response Relationship: Longitudinal Findings of the Korean Genome and Epidemiology Study Over 12 Years
    Ae Hee Kim, In-Ho Seo, Hye Sun Lee, Yong-Jae Lee
    Endocrine Practice.2022; 28(6): 603.     CrossRef
  • Sex-Dependent Effects of Inhaled Nicotine on the Gut Microbiome
    Anna K Whitehead, Margaret C Meyers, Christopher M Taylor, Meng Luo, Scot E Dowd, Xinping Yue, Lauri O Byerley
    Nicotine & Tobacco Research.2022; 24(9): 1363.     CrossRef
  • Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations
    Sarka Kunzova, Andrea Maugeri, Jose Medina-Inojosa, Francisco Lopez-Jimenez, Manlio Vinciguerra, Pedro Marques-Vidal
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
    Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
    Medicina.2019; 55(9): 546.     CrossRef
  • Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men
    Su Wang, Jie Chen, Yuzhong Wang, Yu Yang, Danyu Zhang, Chao Liu, Kun Wang
    Journal of Diabetes Research.2019; 2019: 1.     CrossRef
  • Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors
    Inkyung Baik
    Nutrition Research and Practice.2018; 12(3): 251.     CrossRef
  • Obesity in Older Type 2 Diabetic Patients: Does Working Environment Add Vulnerability?
    Maria Brandão, Margarida Cardoso
    International Journal of Environmental Research and Public Health.2018; 15(12): 2677.     CrossRef
  • Smoking and the risk of type 2 diabetes
    Judith Maddatu, Emily Anderson-Baucum, Carmella Evans-Molina
    Translational Research.2017; 184: 101.     CrossRef
  • Metabolic effects of smoking cessation
    Kindred K. Harris, Mohan Zopey, Theodore C. Friedman
    Nature Reviews Endocrinology.2016; 12(5): 299.     CrossRef
  • Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study
    Eeva-Liisa Tuovinen, Suoma E. Saarni, Satu Männistö, Katja Borodulin, Kristiina Patja, Taru H. Kinnunen, Jaakko Kaprio, Tellervo Korhonen
    Preventive Medicine Reports.2016; 4: 324.     CrossRef
  • Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study
    Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao, Mohammed Akaaboune
    PLoS ONE.2014; 9(7): e102220.     CrossRef
Prevalence of Metabolic Syndrome and Waist Circumference Estimation in Some Korean Adults.
Young Seoub Hong, Byoung Gwon Kim, Baek Geun Jeong, Yong Woo Park, Jong Tae Park, Kap Yeol Jung, Joon Youn Kim
J Prev Med Public Health. 2004;37(1):51-58.
  • 2,212 View
  • 30 Download
AbstractAbstract PDF
OBJECTIVE
The purpose of this study was to estimate the prevalence of metabolic syndrome, as defined by the ATP III report, in some Korean adults and use the Asian-Pacific proposed waist circumference to investigate waist circumference in some Korean adults using ROC curves. METHODS: Study subjects were seventy-five thousands and ninety one persons (47, 979 men and 27, 111 women) who were selected among the patients who visited hospital for health evaluation from January 2000 to December 2001. All subjects were measured by height, weight, waist and hip circumferences, blood pressure and blood chemistry (lipid profile). RESULTS: The mean age was 41.6+/-8.5 years in men, 41.1+/-10.4 years in women (p< 0.05). Body mass index was in the normal range in 35.3% of men, and 55.9% of women. In both men and women, blood pressure, blood sugar, total cholesterol and triglyceride were positively correlated with BMI. waist circumference, and Broca's index (p< 0.01). However HDL. choloesterol was correlated negatively (p< 0.01). Using ROC curve, the calculated waist circumferences were 84 cm in men (sensitivity 61.4% and specificity 64.1%) and 74 cm in women (sensitivity 65.0% and specificity 73.2%). The age adjusted prevalences of the metabolic syndrome as defined by NCEP ATP III were different for men (6.4%) and women (14.6%). The prevalence increased from 1.2% among participants aged 20 through 29years to 15.0% among participants aged over 60years in men (p< 0.05) and from 1.6% to 27.4% respectively, in women. The age adjusted prevalences, as defined by using the waist circumference that was recommended by WHO's regional office for the western Pacific, were 10.6% in men and 18.5% in women. The age adjusted prevalences, as defined by using the waist circumference that was calculated by the ROC curves, were 17.1% in men and 22.4% in women. And All prevalences were increased following increased BMI and Broca's index. CONCLUSIONS: The prevalence of metabolic syndrome in some Korean adults was lower than that in western adults. Nevertheless because waist circumference was differed among race and region, application of the same criteria was not proper. Morcover, a higher awareness was required in women, because the prevalence of metabolic syndrome was rapidly increased with increment of age.
Summary
English Abstract
Health Behavior Factors Affecting Waist Circumference as an Indicator of Abdominal Obesity.
Kyung Won Paek, Yoon Mi Hong
J Prev Med Public Health. 2006;39(1):59-66.
  • 2,063 View
  • 78 Download
AbstractAbstract PDF
OBJECTIVES
This study was performed to identify the socioeconomic factors, the psychosocial factors and the heath behavior factors that have an influence on abdominal obesity, as measured by using the waist circumference. METHODS: Data was obtained from individuals aged above 20 years who had their waist circumference measured on the Korean National Health and Nutrition Examination Survey 2001, which was a cross-sectional health survey. RESULTS: Regression analysis of the factors that affect abdominal obesity showed that the education level, income, smoking, duration of smoking, drinking consumption, frequency of exercises and sleeping were the associated factors for abdominal obesity. For men, the duration of smoking, education level, income and drinking consumption were the associated factors for abdominal obesity. For woman, the education level, income, duration of smoking, drinking consumption and frequency of exercise were the associated factors for abdominal obesity. CONCLUSIONS: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify heath behaviors for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease.
Summary

JPMPH : Journal of Preventive Medicine and Public Health