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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
  • 9,410 View
  • 98 Download
  • 17 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
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    Sarka Kunzova, Andrea Maugeri, Jose Medina-Inojosa, Francisco Lopez-Jimenez, Manlio Vinciguerra, Pedro Marques-Vidal
    Frontiers in Public Health.2020;[Epub]     CrossRef
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    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
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    Inkyung Baik
    Nutrition Research and Practice.2018; 12(3): 251.     CrossRef
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    Maria Piedade Brandão, Margarida Fonseca Cardoso
    International Journal of Environmental Research and Public Health.2018; 15(12): 2677.     CrossRef
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    Judith Maddatu, Emily Anderson-Baucum, Carmella Evans-Molina
    Translational Research.2017; 184: 101.     CrossRef
  • Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan
    Yukako Tatsumi, Yoko M Nakao, Izuru Masuda, Aya Higashiyama, Misa Takegami, Kunihiro Nishimura, Makoto Watanabe, Takayoshi Ohkubo, Tomonori Okamura, Yoshihiro Miyamoto
    BMJ Open.2017; 7(1): e013831.     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
The Association Between Serum Albumin Levels and Metabolic Syndrome in a Rural Population of Korea
Hye Min Cho, Hyeon Chang Kim, Ju-Mi Lee, Sun Min Oh, Dong Phil Choi, Il Suh
J Prev Med Public Health. 2012;45(2):98-104.   Published online March 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.2.98
  • 11,280 View
  • 106 Download
  • 21 Crossref
AbstractAbstract PDF
Objectives

A positive association between serum albumin levels and metabolic syndrome has been reported in observation studies, but it has not been established in the Korean population. The purpose of this study was to evaluate the association between serum albumin levels and the presence of metabolic syndrome among a sample of apparently healthy Korean adults.

Methods

This cross-sectional study analyzed data of 3189 community-dwelling people (1189 men and 2000 women) who were aged 40 to 87 years and were living in a rural area in Korea. Serum albumin levels were classified into quartile groups for each sex. Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines with an adjusted waist circumference cut-off value (≥90 cm for men and ≥85 cm for women). An independent association between serum albumin levels and metabolic syndrome was assessed by multiple logistic regression analysis.

Results

Higher serum albumin levels were associated with increased prevalence of metabolic syndrome. The odds ratio (95% confidence interval) of the prevalence of metabolic syndrome for the highest versus the lowest serum albumin quartiles was 2.81 (1.91 to 4.14) in men and 1.96 (1.52 to 2.52) in women, after adjusting for age, smoking status, alcohol consumption, and physical activity. When each metabolic abnormality was analyzed separately, higher serum albumin levels were significantly associated with hypertriglyceridemia and hyperglycemia in both sexes, and with abdominal obesity in men.

Conclusions

These results suggest that higher serum albumin levels are positively associated with an increased risk of metabolic syndrome in Korean adults.

Summary

Citations

Citations to this article as recorded by  
  • Prevalence of Non-alcoholic Fatty Liver Disease Detected by Computed Tomography in the General Population Compared with Ultrasonography
    Yuki Ito, Kentaro Yoshioka, Kazuhiko Hayashi, Yuko Shimizu, Ryo Fujimoto, Ryosuke Yamane, Michiyo Yoshizaki, Go Kajikawa, Taro Mizutani, Hidemi Goto
    Internal Medicine.2024; 63(2): 159.     CrossRef
  • Joint modeling of association networks and longitudinal biomarkers: An application to childhood obesity
    Andrea Cremaschi, Maria De Iorio, Narasimhan Kothandaraman, Fabian Yap, Mya Thway Tint, Johan Eriksson
    Statistics in Medicine.2024; 43(6): 1135.     CrossRef
  • Serum Albumin as Prognostic Marker for Older Adults in Hospital and Community Settings
    Nur Riviati, Legiran, Taufik Indrajaya, Irsan Saleh, Zulkhair Ali, Irfannuddin, Probosuseno, Bima Indra
    Gerontology and Geriatric Medicine.2024;[Epub]     CrossRef
  • C-reactive protein to albumin ratio and risk of incident metabolic syndrome in community-dwelling adults: longitudinal findings over a 12-year follow-up period
    Taekyeong Lim, Yong-Jae Lee
    Endocrine.2024;[Epub]     CrossRef
  • Metabolic syndrome: comparison of three diet-induced experimental models
    Alexandra Petrova, Rumyana Simeonova, Christina Voycheva, Yonko Savov, Lyubomir Marinov, Vessela Balabanova, Reneta Gevrenova, Dimitrina Zheleva-Dimitrova
    Pharmacia.2023; 70(4): 1539.     CrossRef
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    Eul Noh, Jeong Mi Moon, Byeong Jo Chun, Yong Soo Cho, SeokJin Ryu, Dongki Kim
    Basic & Clinical Pharmacology & Toxicology.2021; 128(4): 605.     CrossRef
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    Seung Won Lee, Hyeon Chang Kim, Chungmo Nam, Hae-Young Lee, Song Vogue Ahn, Young A Oh, Il Suh
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Abdominal Obesity in Relation to the Incidence of Type 2 Diabetes Mellitus and Impaired Fasting Glucose among some Korean Adults: A Retrospective Cohort Study.
Seung Ho Ryu, Sung Ho Beck, Yoo Soo Chang, Dong Il Kim, Byung Seong Suh, Woon Sool Kim, Ki Chul Sung
J Prev Med Public Health. 2004;37(4):359-365.   Published online November 30, 2004
  • 2,442 View
  • 48 Download
AbstractAbstract PDF
OBJECTIVES
This study was performed to determine whether an increase in abdominal obesity is an independent risk factor for impaired fasting glucose and type 2 DM. METHODS: Among 24, 212 adults over 30 years who undertook comprehensive medical screening examinations from Jan to Dec 1999, in a university hospital in Seoul, a total of 11, 183 subjects were selected who had no DM at baseline and who were followed up more than once by Dec 2002. The average follow up period was 2.4 (+/-0.5) years. DM was defined as having a fasting glucose level > or = 126mg/dl, and impaired fasting glucose as showing a fasting glucose level between 110 and 125 mg/dl. Body weight, height and waist circumference (WC) were simultaneously measured with blood sampling. The relative risks (RRs) for DM and impaired fasting glucose by WC were calculated using Cox proportional hazard model. Ageadjusted rates were estimated by direct standardization using a reference population of 2000 from 30 to 80 years. RESULTS: The average age of the subjects was 41.7 (+/- 7.0) years; males 41.2 (+/-6.5) and females 45.6 (+/-9.2). RRs for type 2 DM by WC with the reference group of WC < 80cm were as follows: 2.66 (95%, CI 0.55~12.8) for WC of 80~89cm in men, 5.92 (95%, CI 1.08~32.3) for WC > or = 90 cm in men, and 2.64 (95%, CI 0.23~29.8) for WC of 80~89cm in females. RRs for impaired fasting glucose by WC were 3.03 (95%, CI 2.18~4.22) for WC 80~89cm in men, 6.10 (95%, CI 4.25~8.75) for WC > or = 90cm in men, and 1.56 (95%, CI 0.43~5.67) for WC 80~89cm in women, and 8.08 (95%, CI 2.22~29.4) for WC > or = 90cm in females. These results remained significant after adjustment for age, BMI and fasting glucose concentrations at baseline in both sexes. Annual increment of more than 1 cm in WC was associated with the development of DM and impaired fasting glucose independently of age, sex, BMI, or presence of abdominal obesity. CONCLUSION: In Korean adults, abdominal obesity increased the risk for the development of type 2 diabetes and impaired fasting glucose. This result supports many other prospective studies suggesting abdominal obesity as a risk factor for type 2 diabetes.
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.
  • 2,101 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

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