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2 "Intra-abdominal fat"
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Comparison of Computed Tomography-based Abdominal Adiposity Indexes as Predictors of Non-alcoholic Fatty Liver Disease Among Middle-aged Korean Men and Women
Jongmin Baek, Sun Jae Jung, Jee-Seon Shim, Yong Woo Jeon, Eunsun Seo, Hyeon Chang Kim
J Prev Med Public Health. 2020;53(4):256-265.   Published online June 18, 2020
DOI: https://doi.org/10.3961/jpmph.20.140
  • 5,747 View
  • 171 Download
  • 4 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
We compared the associations of 3 computed tomography (CT)-based abdominal adiposity indexes with non-alcoholic fatty liver disease (NAFLD) among middle-aged Korean men and women.
Methods
The participants were 1366 men and 2480 women community-dwellers aged 30-64 years. Three abdominal adiposity indexes—visceral fat area (VFA), subcutaneous fat area (SFA), and visceral-to-subcutaneous fat ratio (VSR)—were calculated from abdominal CT scans. NAFLD was determined by calculating the Liver Fat Score from comorbidities and blood tests. An NAFLD prediction model that included waist circumference (WC) as a measure of abdominal adiposity was designated as the base model, to which VFA, SFA, and VSR were added in turn. The area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were calculated to quantify the additional predictive value of VFA, SFA, and VSR relative to WC.
Results
VFA and VSR were positively associated with NAFLD in both genders. SFA was not significantly associated with NAFLD in men, but it was negatively associated in women. When VFA, SFA, and VSR were added to the WC-based NAFLD prediction model, the AUC improved by 0.013 (p<0.001), 0.001 (p=0.434), and 0.009 (p=0.007) in men and by 0.044 (p<0.001), 0.017 (p<0.001), and 0.046 (p<0.001) in women, respectively. The IDI and NRI were increased the most by VFA in men and VSR in women.
Conclusions
Using CT-based abdominal adiposity indexes in addition to WC may improve the detection of NAFLD. The best predictive indicators were VFA in men and VSR in women.
Summary

Citations

Citations to this article as recorded by  
  • Usefulness of Body Fat and Visceral Fat Determined by Bioimpedanciometry versus Body Mass Index and Waist Circumference in Predicting Elevated Values of Different Risk Scales for Non-Alcoholic Fatty Liver Disease
    María Gordito Soler, Ángel Arturo López-González, Daniela Vallejos, Emilio Martínez-Almoyna Rifá, María Teófila Vicente-Herrero, José Ignacio Ramírez-Manent
    Nutrients.2024; 16(13): 2160.     CrossRef
  • Relationship between Non-Alcoholic Fatty Liver Disease and Visceral Fat Measured by Imaging-Based Body Composition Analysis: A Systematic Review
    Ker Ming Seaw, Christiani Jeyakumar Henry, Xinyan Bi
    Livers.2023; 3(3): 463.     CrossRef
  • Stratifying the risk of ovarian cancer incidence by histologic subtypes in the Korean Epithelial Ovarian Cancer Study (Ko‐EVE)
    Soseul Sung, Youjin Hong, Byoung‐Gie Kim, Ji‐Yeob Choi, Jae Weon Kim, Sang‐Yoon Park, Jae‐Hoon Kim, Yong‐man Kim, Jong‐Min Lee, Tae Jin Kim, Sue K. Park
    Cancer Medicine.2023; 12(7): 8742.     CrossRef
  • Correlation between CT Abdominal Anthropometric Measurements and Liver Density in Individuals with Non-Alcoholic Fatty Liver Disease
    Dragoș Constantin Cucoranu, Marian Pop, Raluca Niculescu, Vlad Vunvulea, Irina-Bianca Kosovski, Radu-Ovidiu Togănel, Eliza Russu, Adrian Vasile Mureșan, Răzvan-Andrei Licu, Anca Bacârea
    Medicina.2023; 59(3): 500.     CrossRef
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
  • 9,939 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  
  • Nutritional status of people who inject drugs in Coastal Kenya: a cross-sectional study
    Valentine Budambula, Moses Ngari, Nancy L.M. Budambula, Aabid A. Ahmed, Tom Were
    BMC Nutrition.2024;[Epub]     CrossRef
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    Peder af Geijerstam, Fredrik Janryd, Fredrik H. Nyström
    Journal of Cardiovascular Medicine.2023;[Epub]     CrossRef
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    Neha Shri, Saurabh Singh, Akancha Singh
    International Journal of Public Health.2023;[Epub]     CrossRef
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    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
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    Ae Hee Kim, In-Ho Seo, Hye Sun Lee, Yong-Jae Lee
    Endocrine Practice.2022; 28(6): 603.     CrossRef
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    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
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    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
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    Yukako Tatsumi, Yoko M Nakao, Izuru Masuda, Aya Higashiyama, Misa Takegami, Kunihiro Nishimura, Makoto Watanabe, Takayoshi Ohkubo, Tomonori Okamura, Yoshihiro Miyamoto
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    Kindred K. Harris, Mohan Zopey, Theodore C. Friedman
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    Eeva-Liisa Tuovinen, Suoma E. Saarni, Satu Männistö, Katja Borodulin, Kristiina Patja, Taru H. Kinnunen, Jaakko Kaprio, Tellervo Korhonen
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    Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao, Mohammed Akaaboune
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