Diabetes & Metabolism Journal

Original Articles

Metabolic Risk/Epidemiology
Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program: Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee; Diabetes Metab J. 2023;47(6):846-858. Published online August 23, 2023; DOI: https://doi.org/10.4093/dmj.2022.0242

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Abstract PDF Supplementary Material PubReader ePub: Background
The effect of obesity on the development of type 2 diabetes mellitus (DM) in different age groups remains unclear. We assessed the impact of obesity on the development of DM for two age groups (40-year-old, middle age; 66-year-old, older adults) in the Korean population.
Methods
We analyzed Korean National Health Insurance Service data of 4,145,321 Korean adults with 40- and 66-year-old age without DM, between 2009 and 2014. Participants were followed up until 2017 or until the diagnosis of DM. We assessed the risk of DM based on the body mass index and waist circumference of the participants. Multiple confounding factors were adjusted.
Results
The median follow-up duration was 5.6 years. The association of general and abdominal obesity with the risk of DM development was stronger in the 40-year-old group (general obesity: hazard ratio [HR], 3.566, 95% confidence interval [CI], 3.512 to 3.622; abdominal obesity: HR, 3.231; 95% CI, 3.184 to 3.278) than in the 66-year-old group (general obesity: HR, 1.739; 95% CI, 1.719 to 1.759; abdominal obesity: HR, 1.799; 95% CI, 1.778 to 1.820). In the 66-year-old group, abdominal obesity had a stronger association with the development of DM as compared to general obesity. In the 40-year-old group, general obesity had a stronger association with the risk of DM development than abdominal obesity.
Conclusion
The influence of general and abdominal obesity on the development of DM differed according to age. In older adults, abdominal obesity had a stronger association with DM development than general obesity.

Lifestyle
Ultra-Processed Food Consumption and Obesity in Korean Adults: Jee-Seon Shim, Kyoung Hwa Ha, Dae Jung Kim, Hyeon Chang Kim; Diabetes Metab J. 2023;47(4):547-558. Published online April 26, 2023; DOI: https://doi.org/10.4093/dmj.2022.0026

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Background
This study aimed to investigate the association between consumption of ultra-processed foods (UPF) and obesity in Korean adults.
Methods
We included the Cardiovascular and Metabolic Diseases Etiology Research Center cohort study baseline data of adults aged 30 to 64 years who completed a validated food frequency questionnaire. UPF was defined using the NOVA food classification. Multivariable linear and logistic regression analyses were performed to assess the association of dietary energy contribution of UPF with obesity indicators (body mass index [BMI], obesity, waist circumference [WC], and abdominal obesity).
Results
Consumption of UPF accounted for 17.9% of total energy intake and obesity and abdominal obesity prevalence was 35.4% and 30.2%, respectively. Compared with those in the lowest quartile of UPF consumption, adults in the highest quartile had greater BMI (β=0.36; 95% confidence interval [CI], 0.15 to 0.56), WC (β=1.03; 95% CI, 0.46 to 1.60), higher odds of having obesity (odds ratio [OR], 1.24; 95% CI, 1.07 to 1.45), and abdominal obesity (OR, 1.34; 95% CI, 1.14 to 1.57), after adjusting for sociodemographic characteristics, health-related behaviors, and family history of diseases. Dose-response associations between UPF consumption and obesity indicators were consistently found (all P trend <0.01). However, the strength of association was halved for all obesity indicators after further adjustments for total energy intake and overall diet quality score, and the trend toward association for obesity and WC disappeared.
Conclusion
Our finding supports the evidence that consumption of UPF is positively associated with obesity among Korean adults.

Citations

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Ultra-processed food consumption and increased risk of metabolic syndrome in Korean adults: A cross-sectional analysis of the KNHANES 2016–2020
Hansol Park, Youngmi Lee, Jinah Hwang, Yujin Lee
Nutrition.2024; 122: 112374. CrossRef
Diet quality partially mediates the association between ultraprocessed food consumption and adiposity indicators
Jee‐Seon Shim, Kyoung Hwa Ha, Dae Jung Kim, Hyeon Chang Kim
Obesity.2023; 31(9): 2430. CrossRef
Development of a Semi-Quantitative Food-Frequency Questionnaire for Korean Adults with Obesity
Jina Chung, Seoeun Ahn, Hyojee Joung, Sangah Shin
Nutrients.2023; 15(22): 4848. CrossRef

Metabolic Risk/Epidemiology
Novel Asian-Specific Visceral Adiposity Indices Are Associated with Chronic Kidney Disease in Korean Adults: Jonghwa Jin, Hyein Woo, Youngeun Jang, Won-Ki Lee, Jung-Guk Kim, In-Kyu Lee, Keun-Gyu Park, Yeon-Kyung Choi; Diabetes Metab J. 2023;47(3):426-436. Published online March 6, 2023; DOI: https://doi.org/10.4093/dmj.2022.0099

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Background
The Chinese visceral adiposity index (CVAI) and new visceral adiposity index (NVAI) are novel indices of visceral adiposity used to predict metabolic and cardiovascular diseases in Asian populations. However, the relationships of CVAI and NVAI with chronic kidney disease (CKD) have not been investigated. We aimed to characterize the relationships of CVAI and NVAI with the prevalence of CKD in Korean adults.
Methods
A total of 14,068 participants in the 7th Korea National Health and Nutrition Examination Survey (6,182 men and 7,886 women) were included. Receiver operating characteristic (ROC) analyses were employed to compare the associations between indices of adiposity and CKD, and a logistic regression model was used to characterize the relationships of CVAI and NVAI with CKD prevalence.
Results
The areas under the ROC curves for CVAI and NVAI were significantly larger than for the other indices, including the visceral adiposity index and lipid accumulation product, in both men and women (all P<0.001). In addition, high CVAI or NVAI was significantly associated with a high CKD prevalence in both men (odds ratio [OR], 2.14; 95% confidence interval [CI], 1.31 to 3.48 in CVAI and OR, 6.47; 95% CI, 2.91 to 14.38 in NVAI, P<0.05) and women (OR, 4.87; 95% CI, 1.85 to 12.79 in CVAI and OR, 3.03; 95% CI, 1.35 to 6.82 in NVAI, P<0.05); this association remained significant after adjustment for multiple confounding factors in men and women.
Conclusion
CVAI and NVAI are positively associated with CKD prevalence in a Korean population. CVAI and NVAI may be useful for the identification of CKD in Asian populations, including in Korea.

Citations

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Association between Chinese visceral adiposity index and risk of stroke incidence in middle-aged and elderly Chinese population: evidence from a large national cohort study
Zenglei Zhang, Lin Zhao, Yiting Lu, Xu Meng, Xianliang Zhou
Journal of Translational Medicine.2023;[Epub] CrossRef

Metabolic Risk/Epidemiology
Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population: Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi; Diabetes Metab J. 2022;46(5):756-766. Published online January 20, 2022; DOI: https://doi.org/10.4093/dmj.2021.0166

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Background
The present study investigated the role of synergistic interaction between hyperuricemia and abdominal obesity as a risk factor for the components of metabolic syndrome.
Methods
We performed a cross-sectional study using the data of 16,094 individuals from the seventh Korean National Health and Nutrition Examination Survey (2016 to 2018). The adjusted odds ratios of metabolic syndrome and its components were analyzed by multivariate logistic regression analysis. The presence of synergistic interaction between hyperuricemia and abdominal obesity was evaluated by calculating the additive scales—the relative excess risk due to interaction, attributable proportion due to interaction, and synergy index (SI).
Results
There was a synergistic interaction between hyperuricemia and abdominal obesity in hypertriglyceridemia (men: SI, 1.39; 95% confidence interval [CI], 1.01 to 1.98; women: SI, 1.61; 95% CI, 1.02 to 2.69), and low high-density lipoprotein cholesterol (HDL-C) (men: SI, 2.03; 95% CI, 1.41 to 2.91; women: SI, 1.70; 95% CI, 1.05 to 2.95). There was no significant synergistic interaction between hyperuricemia and abdominal obesity for the risk of high blood pressure (men: SI, 1.22; 95% CI, 0.85 to 1.77; women: SI, 1.53; 95% CI, 0.79 to 2.97), and hyperglycemia (men: SI, 1.03; 95% CI, 0.72 to 1.47; women: SI, 1.39; 95% CI, 0.75 to 2.57).
Conclusion
Hyperuricemia and abdominal obesity synergistically increased the risk of hypertriglyceridemia and low HDL-C in both sexes.

Citations

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Prevalence and factors associated with overweight, obesity and central obesity among adults in Shenmu City, Shaanxi Province, China
Mingxia Liu, Chunjiao Jia, Yaoda Hu, Juan Liu, Lizhen Liu, Shengli Sun, Haiying Wang, Yonglin Liu
Preventive Medicine Reports.2024; 40: 102673. CrossRef
Synergistic interaction between hyperlipidemia and obesity as a risk factor for stress urinary incontinence in Americans
Fangyi Zhu, Mao Chen, Ya Xiao, Xiaoyu Huang, Liying Chen, Li Hong
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The role of cognitive function in the relationship between surrogate markers of visceral fat and depressive symptoms in general middle-aged and elderly population: A nationwide population-based study
Na Zhang, Jianqian Chao, Xueyu Wu, Hongling Chen, Min Bao
Journal of Affective Disorders.2023; 338: 581. CrossRef
Biodegradation of Uric Acid by Bacillus paramycoides-YC02
Xiaoyu Cao, Jingyuan Cai, Yu Zhang, Chao Liu, Meijie Song, Qianqian Xu, Yang Liu, Hai Yan
Microorganisms.2023; 11(8): 1989. CrossRef
A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
BMC Public Health.2023;[Epub] CrossRef
Dietary Ferulic Acid Ameliorates Metabolism Syndrome-Associated Hyperuricemia in Rats via Regulating Uric Acid Synthesis, Glycolipid Metabolism, and Hepatic Injury
Nanhai Zhang, Jingxuan Zhou, Lei Zhao, Ou Wang, Liebing Zhang, Feng Zhou
Frontiers in Nutrition.2022;[Epub] CrossRef

Metabolic Risk/Epidemiology
Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus: Eun Hee Kim, Hong-Kyu Kim, Min Jung Lee, Sung-Jin Bae, Jaewon Choe, Chang Hee Jung, Chul-Hee Kim, Joong-Yeol Park, Woo Je Lee; Diabetes Metab J. 2022;46(3):486-498. Published online November 18, 2021; DOI: https://doi.org/10.4093/dmj.2021.0095

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Background
This study aimed to determine the optimal cut-off values of visceral fat area (VFA) and visceral-to-subcutaneous fat ratio (VSR) for predicting incident type 2 diabetes mellitus (T2DM).
Methods
A total of 10,882 individuals (6,835 men; 4,047 women) free of T2DM at baseline aged between 30 and 79 years who underwent abdominal computed tomography scan between 2012 and 2013 as a part of routine health check-ups were included and followed. VFA, subcutaneous fat area, and VSR on L3 vertebral level were measured at baseline.
Results
During a median follow-up of 4.8 years, 730 (8.1% for men; 4.3% for women) incident cases of T2DM were identified. Receiver operating characteristic curve analysis showed that the optimal cut-off values of VFA and VSR for predicting incident T2DM were 130.03 cm² and 1.08 in men, respectively, and 85.7 cm² and 0.48 in women, respectively. Regardless of sex, higher VFA and VSR were significantly associated with a higher risk of incident T2DM. Compared with the lowest quartiles of VFA and VSR, the highest quartiles had adjusted odds ratios of 2.62 (95% confidence interval [CI], 1.73 to 3.97) and 1.55 (95% CI, 1.14 to 2.11) in men, respectively, and 32.49 (95% CI, 7.42 to 142.02) and 11.07 (95% CI, 3.89 to 31.50) in women, respectively.
Conclusion
Higher VFA and VSR at baseline were independent risk factors for the development of T2DM. Sex-specific reference values for visceral fat obesity (VFA ≥130 cm² or VSR ≥1.0 in men; VFA ≥85 cm² or VSR ≥0.5 in women) are proposed for the prediction of incident T2DM.

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Mauricio A. Cuello, Fernán Gómez, Ignacio Wichmann, Felipe Suárez, Sumie Kato, Elisa Orlandini, Jorge Brañes, Carolina Ibañez
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MEDICINAL BIOMAGNETISM FOR THE TREATMENT OF OBESITY
Ana Vergínia Campagnollo Bueno, Michelli Gonçalves Seneda, Ângela Mara Rambo, Ana Clara Campagnolo Gonçalves Toledo, Caroline Cabral de Azevedo, Adriane Viapiana Bossa
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Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes
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The correlation between visceral fat/subcutaneous fat area ratio and monocyte/high-density lipoprotein ratio in patients with type 2 diabetes mellitus and albuminuria
Haiyan Lin, Jun Zhu, Chen Zheng, Xiaoming Xu, Shandong Ye
Journal of Diabetes and its Complications.2023; 37(11): 108521. CrossRef
Effects of the abdominal fat distribution on the relationship between exposure to air pollutants and thyroid hormones among Korean adult males
Hyun-Jin Kim, Byungmi Kim, Seyoung Kim, Hyuktae Kwon, Jae Moon Yun, Belong Cho, Jin-Ho Park
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Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
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Visceral adipose tissue reference data computed for GE HealthCare DXA from the National Health and Nutrition Examination Survey data set
Jonathan P. Bennett, Brandon K. Quon, Bo Fan, En Liu, Leila Kazemi, Rosa C. Villegas‐Valle, Raj Ahgun, Xian‐pin Wu, Hou‐De Zhou, Ying Lu, John A. Shepherd
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Frontiers in Endocrinology.2023;[Epub] CrossRef
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Cardiovascular Risk/Epidemiology
Clinical Significance of Body Fat Distribution in Coronary Artery Calcification Progression in Korean Population: Heesun Lee, Hyo Eun Park, Ji Won Yoon, Su-Yeon Choi; Diabetes Metab J. 2021;45(2):219-230. Published online October 28, 2020; DOI: https://doi.org/10.4093/dmj.2019.0161; Correction in: Diabetes Metab J 2021;45(6):974

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Background
Although obesity differs according to ethnicity, it is globally established as a solid risk factor for cardiovascular disease. However, it is not fully understood how obesity parameters affect the progression of coronary artery calcification (CAC) in Korean population. We sought to evaluate the association of obesity-related parameters including visceral adipose tissue (VAT) measurement and CAC progression.
Methods
This retrospective observational cohort study investigated 1,015 asymptomatic Korean subjects who underwent serial CAC scoring by computed tomography (CT) with at least 1-year interval and adipose tissue measurement using non-contrast CT at baseline for a routine checkup between 2003 and 2015. CAC progression, the main outcome, was defined as a difference of ≥2.5 between the square roots of the baseline and follow-up CAC scores using Agatston units.
Results
During follow-up (median 39 months), 37.5% of subjects showed CAC progression of a total population (56.4 years, 80.6% male). Body mass index (BMI) ≥25 kg/m², increasing waist circumferences (WC), and higher VAT/subcutaneous adipose tissue (SAT) area ratio were independently associated with CAC progression. Particularly, predominance of VAT over SAT at ≥30% showed the strongest prediction for CAC progression (adjusted hazard ratio, 2.20; P<0.001) and remained of prognostic value regardless of BMI or WC status. Further, it provided improved risk stratification of CAC progression beyond known prognosticators.
Conclusion
Predominant VAT area on CT is the strongest predictor of CAC progression regardless of BMI or WC in apparently healthy Korean population. Assessment of body fat distribution may be helpful to identify subjects at higher risk.

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Xiaoliu Shi, Wanyue Wang, Jiafan Feng, Xiaochun Ma, Mengting Xu, Cui Wang
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The association between C-reactive protein and coronary artery calcification: a systematic review and meta-analysis
Amirhossein Tajani, Masoumeh Sadeghi, Navid Omidkhoda, Amir Hooshang Mohammadpour, Sara Samadi, Vahid Jomehzadeh
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Visceral adipose tissue is an independent predictor and mediator of the progression of coronary calcification: a prospective sub-analysis of the GEA study
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Metabolic Risk/Epidemiology
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus: Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo; Diabetes Metab J. 2021;45(2):183-194. Published online June 16, 2020; DOI: https://doi.org/10.4093/dmj.2019.0171

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Background

The age- and sex-related differences on the impacts of body composition on diabetes mellitus (DM) remain uncertain.

Methods

The fourth and fifth Korea National Health and Nutrition Examination Survey included 15,586 subjects over 30 years of age who completed dual-energy X-ray absorptiometry. We conducted a cross-sectional study to investigate whether muscle mass index (MMI), defined as appendicular skeletal muscle divided by body mass index (BMI), and fat mass index (FMI), defined as trunk fat mass divided by BMI, were differently associated with DM according to age and sex.

Results

In multivariate logistic regression, the risk for DM significantly increased across quartiles of FMI in men aged ≥70. Meanwhile, MMI showed a protective association with DM in men of the same age. The odds ratios (ORs) for the highest quartile versus the lowest quartile of FMI and MMI were 3.116 (95% confidence interval [CI], 1.405 to 6.914) and 0.295 (95% CI, 0.157 to 0.554), respectively. In women, the ORs of DM was significantly different across FMI quartiles in those over age 50. The highest quartile of FMI exhibited increased ORs of DM in subjects aged 50 to 69 (OR, 1.891; 95% CI, 1.229 to 2.908) and ≥70 (OR, 2.275; 95% CI, 1.103 to 4.69) compared to lowest quartile. However, MMI was not significantly associated with DM in women of all age groups.

Conclusion

Both FMI and MMI were independent risk factors for DM in men aged 70 years or more. In women over 50 years, FMI was independently associated with DM. There was no significant association between MMI and DM in women.

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Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
敏张
Advances in Clinical Medicine.2024; 14(03): 936. CrossRef
Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173. CrossRef
Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
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Metabolic Risk/Epidemiology
Intra-Abdominal Fat and High Density Lipoprotein Cholesterol Are Associated in a Non-Linear Pattern in Japanese-Americans: Sun Ok Song, You-Cheol Hwang, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko; Diabetes Metab J. 2020;44(2):277-285. Published online March 10, 2020; DOI: https://doi.org/10.4093/dmj.2019.0008

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Background

We describe the association between high density lipoprotein cholesterol (HDL-C) concentration and computed tomography (CT)-measured fat depots.

Methods

We examined the cross-sectional associations between HDL-C concentration and intra-abdominal (IAF), abdominal subcutaneous (SCF), and thigh fat (TF) areas in 641 Japanese-American men and women. IAF, SCF, and TF were measured by CT at the level of the umbilicus and mid-thigh. The associations between fat area measurements and HDL-C were examined using multivariate linear regression analysis adjusting for age, sex, diabetes family history, homeostasis model assessment of insulin resistance (HOMA-IR), and body mass index (BMI). Non-linearity was assessed using fractional polynomials.

Results

Mean±standard deviation of HDL-C concentration and IAF in men and women were 1.30±0.34 mg/dL, 105±55.3 cm², and 1.67±0.43 mg/dL, 74.4±46.6 cm² and differed significantly by gender for both comparisons (P<0.001). In univariate analysis, HDL-C concentration was significantly associated with CT-measured fat depots. In multivariate analysis, IAF was significantly and non-linearly associated with HDL-C concentration adjusted for age, sex, BMI, HOMA-IR, SCF, and TF (IAF: β=−0.1012, P<0.001; IAF²: β=0.0008, P<0.001). SCF was also negatively and linearly associated with HDL-C (β=−0.4919, P=0.001).

Conclusion

HDL-C does not linearly decline with increasing IAF in Japanese-Americans. A more complex pattern better fits this association.

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Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation
Yansu Wang, Yiting Xu, Tingting Hu, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Haoyong Yu, Yuqian Bao
Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 121. CrossRef
Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake
Urszula Miksza, Edyta Adamska-Patruno, Witold Bauer, Joanna Fiedorczuk, Przemyslaw Czajkowski, Monika Moroz, Krzysztof Drygalski, Andrzej Ustymowicz, Elwira Tomkiewicz, Maria Gorska, Adam Kretowski
Scientific Reports.2023;[Epub] CrossRef
Computed tomography-based investigation of the correlation of abdominal fat areas with metabolic syndrome
Kai-Yuan Cheng, Tsung-Hsien Yen, Jay Wu, Pei-Hsuan Li, Tian-Yu Shih
Journal of Radiological Science.2023; 48(1): 15. CrossRef
Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Endocrinology and Metabolism.2021; 36(4): 835. CrossRef

Metabolic Risk/Epidemiology
Association of Soybean Food Intake and Cardiometabolic Syndrome in Korean Women: Korea National Health and Nutrition Examination Survey (2007 to 2011): Sook-Hyun Jun, Woo-Kyoung Shin, Yookyung Kim; Diabetes Metab J. 2020;44(1):143-157. Published online December 2, 2019; DOI: https://doi.org/10.4093/dmj.2019.0078

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Background

Soybean food consumption has been considered as a possible way to lower incidence of cardiometabolic syndrome (CMS) among Asians. However, results from studies investigating its efficacy on CMS in Asians have been inconsistent.

Methods

We analyzed the association between soybean intake frequency and prevalence of CMS based on data from the Korea National Health and Nutrition Examination Survey 2007 to 2011. Data of 9,287 women aged 20 to 64 years were analyzed. Food frequency questionnaire was used to assess soybean food consumption frequency. General linear model and multivariable logistic regression model were used to examine the association of soybean intake quintile with CMS and its risk factors. Least square means of metabolic factors mostly showed no significant relevance except liver indexes.

Results

Compared to participants in the 1st quintile (<2 times/week of soybean food), odds ratios (OR) for CMS and abdominal obesity (AO) in the 4th quintile (8.5 times/week<soybean food≤17 times/week) were 0.73 (95% confidence interval [CI], 0.57 to 0.95) and 0.72 (95% CI, 0.58 to 0.90), respectively. After excluding Tofu products, ORs of CMS, AO, high blood pressure, and hypertriglyceridemia were lower than those without excluding Tofu products. However, results still did not show significant inverse linear trend across frequency quintiles.

Conclusion

Our findings suggest that soybean intake of 8.5 to 17 times/week was inversely associated with CMS in Korean women. The relation between soybean intake >17 times/week and CMS varied depending on soybean food items.

Citations

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Anti-obesogenic effects of plant natural products: A focus on Korean traditional foods
Gitishree Das, Luis Alfonso Jiménez Ortega, Sandra Gonçalves, J. Basilio Heredia, Maria de Lourdes Gomes Pereira, Anabela Romano, Han-Seung Shin, Jayanta Kumar Patra
Trends in Food Science & Technology.2024; : 104470. CrossRef
Sex differences in waist circumference obesity and eating speed: a cross-sectional study of Japanese people with normal body mass index
Yuri Yaguchi, Tsuneo Konta, Nahomi Imaeda, Chiho Goto, Yoshiyuki Ueno, Takamasa Kayama
Frontiers in Nutrition.2024;[Epub] CrossRef
Association of Dietary Patterns with Metabolic Syndrome in Chinese Children and Adolescents Aged 7–17: The China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017
Jia Shi, Hongyun Fang, Qiya Guo, Dongmei Yu, Lahong Ju, Xue Cheng, Wei Piao, Xiaoli Xu, Zizi Li, Di Mu, Liyun Zhao, Li He
Nutrients.2022; 14(17): 3524. CrossRef
What Is the Relationship between Antioxidant Efficacy, Functional Composition, and Genetic Characteristics in Comparing Soybean Resources by Year?
Han-Na Chu, Suji Lee, Xiaohan Wang, Chi-Do Wee, Hye-Myeong Yoon, Eun-Suk Jung, Mi-Kyung Seo, Yongseok Kwon, Kyeong-A Jang, Haeng-Ran Kim
Antioxidants.2022; 11(11): 2249. CrossRef
Longitudinal changes in adherence to the portfolio and DASH dietary patterns and cardiometabolic risk factors in the PREDIMED-Plus study
Andrea J. Glenn, Pablo Hernández-Alonso, Cyril W.C. Kendall, Miguel Ángel Martínez-González, Dolores Corella, Montserrat Fitó, J.Alfredo Martínez, Ángel M. Alonso-Gómez, Julia Wärnberg, Jesús Vioque, Dora Romaguera, José López-Miranda, Ramon Estruch, Fran
Clinical Nutrition.2021; 40(5): 2825. CrossRef
The Effects of Dietary Pattern on Metabolic Syndrome in Jiangsu Province of China: Based on a Nutrition and Diet Investigation Project in Jiangsu Province
Yuanyuan Wang, Yue Dai, Ting Tian, Jingxian Zhang, Wei Xie, Da Pan, Dengfeng Xu, Yifei Lu, Shaokang Wang, Hui Xia, Guiju Sun
Nutrients.2021; 13(12): 4451. CrossRef
Sex-Specific Energy Intakes and Physical Activity Levels According to the Presence of Metabolic Syndrome in Korean Elderly People: Korean National Health and Nutrition Examination Survey 2016–2018
Won-Sang Jung, Hun-Young Park, Sung-Woo Kim, Kiwon Lim
International Journal of Environmental Research and Public Health.2020; 17(15): 5416. CrossRef

Obesity and Metabolic Syndrome
Comparison of Competitive Models of Metabolic Syndrome Using Structural Equation Modeling: A Confirmatory Factor Analysis: Karimollah Hajian-Tilaki; Diabetes Metab J. 2018;42(5):433-441. Published online October 22, 2018; DOI: https://doi.org/10.4093/dmj.2018.0010

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Background

The purpose of this study was to apply the structural equation modeling (SEM) to compare the fitness of different competing models (one, two, and three factors) of the metabolic syndrome (MetS) in Iranian adult population.

Methods

Data are given on the cardiometabolic risk factors of 841 individuals with nondiabetic adults from a cross-sectional population-based study of glucose, lipids, and MetS in the north of Iran. The three conceptual hypothesized models (single factor, two correlated factors, and three correlated latent factors) were evaluated by using confirmatory factor analysis with the SEM approach. The summary statistics of correlation coefficients and the model summary fitting indexes were calculated.

Results

The findings show that a single-factor model and a two-correlated factor model had a poorer summary fitting index compared with a three-correlated factor model. All fitting criteria met the conceptual hypothesized three-correlated factor model for both sexes. However, the correlation structure between the three underlying constructs designating the MetS was higher in women than in men.

Conclusion

These results indicate the plausibility of the pathophysiology and etiology of MetS being multifactorial, rather than a single factor, in a nondiabetic Iranian adult population.

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Structural Equation Modelling for Predicting the Relative Contribution of Each Component in the Metabolic Syndrome Status Change
José E. Teixeira, José A. Bragada, João P. Bragada, Joana P. Coelho, Isabel G. Pinto, Luís P. Reis, Paula O. Fernandes, Jorge E. Morais, Pedro M. Magalhães
International Journal of Environmental Research and Public Health.2022; 19(6): 3384. CrossRef
New risk score model for identifying individuals at risk for diabetes in southwest China
Liying Li, Ziqiong Wang, Muxin Zhang, Haiyan Ruan, Linxia Zhou, Xin Wei, Ye Zhu, Jiafu Wei, Sen He
Preventive Medicine Reports.2021; 24: 101618. CrossRef
Definition and early diagnosis of metabolic syndrome in children
Gunter Matthias Christian Flemming, Sarah Bussler, Antje Körner, Wieland Kiess
Journal of Pediatric Endocrinology and Metabolism.2020; 33(7): 821. CrossRef
Calcium-Sensing Receptor in Adipose Tissue: Possible Association with Obesity-Related Elevated Autophagy
Pamela Mattar, Sofía Sanhueza, Gabriela Yuri, Lautaro Briones, Claudio Perez-Leighton, Assaf Rudich, Sergio Lavandero, Mariana Cifuentes
International Journal of Molecular Sciences.2020; 21(20): 7617. CrossRef

Obesity and Metabolic Syndrome
Proportion and Characteristics of the Subjects with Low Muscle Mass and Abdominal Obesity among the Newly Diagnosed and Drug-Naïve Type 2 Diabetes Mellitus Patients: Jung A Kim, Soon Young Hwang, Hye Soo Chung, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo; Diabetes Metab J. 2019;43(1):105-113. Published online September 28, 2018; DOI: https://doi.org/10.4093/dmj.2018.0036

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Background

Sarcopenic obesity (SO) is a serious public health concern, few studies have examined the clinical implications of SO in newly-diagnosed type 2 diabetes mellitus (T2DM) patients. We evaluated the prevalence of the newly diagnosed, drug-naïve T2DM patients with low muscle mass with abdominal obesity and its association with insulin resistance and other diabetic complications.

Methods

We classified 233 drug-naïve T2DM subjects into four groups according to abdominal obesity (waist circumference ≥90 cm in men and ≥85 cm in women) and low muscle mass status (appendicular skeletal muscle <7.0 kg/m² for men and <5.4 kg/m² for women).

Results

The proportion of the subjects with low muscle mass and abdominal obesity among the newly diagnosed, drug-naïve T2DM patients was 8.2%. Homeostasis model assessment of insulin resistance (HOMA-IR) increased linearly according to body composition group from normal to abdominal obesity to both low muscle mass and abdominal obesity. The multiple logistic regression analysis indicated that subjects with low muscle mass and abdominal obesity (odds ratio [OR], 9.39; 95% confidence interval [CI], 2.41 to 36.56) showed a higher risk for insulin resistance, defined as HOMA-IR ≥3, than those with abdominal obesity (OR, 5.36; 95% CI, 2.46 to 11.69), even after adjusting for other covariates. However, there were no differences in lipid profiles, microalbuminuria, or various surrogate markers for atherosclerosis among the four groups.

Conclusion

Subjects with both low muscle mass and abdominal obesity had a higher risk of insulin resistance than those with low muscle mass or abdominal obesity only.

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Menggege Liu, Qing Zhang, Juan Liu, Huiling Bai, Ping Yang, Xinhua Ye, Xiaoqing Yuan
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Tingting Han, Ting Yuan, Xinyue Liang, Ningxin Chen, Jia Song, Xin Zhao, Yurong Weng, Yaomin Hu
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Hye Jin Yoo
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Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
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Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
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Obesity and Metabolic Syndrome
Prediction of Gestational Diabetes Mellitus in Pregnant Korean Women Based on Abdominal Subcutaneous Fat Thickness as Measured by Ultrasonography: Sung Hee Yang, Changsoo Kim, Hyun Sook An, Hyun An, Jin Soo Lee; Diabetes Metab J. 2017;41(6):486-491. Published online September 22, 2017; DOI: https://doi.org/10.4093/dmj.2017.41.6.486

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Background

This study was performed to verify the correlation between abdominal subcutaneous fat thickness (ASFT) measured by ultrasonography (US) during the first trimester of pregnancy and gestational diabetes mellitus (GDM) of the second trimester in Korean women and to establish a standard of ASFT for predicting GDM.

Methods

A total of 333 singleton pregnant women participated in this study. Their ASFT was measured by US during the 10⁺⁶ to 13⁺⁶ weeks of pregnancy; then a GDM confirmatory test (100 g oral glucose tolerance test) was conducted during the 24 to 28 week period of pregnancy. Based on the GDM tests, comparative analyses of the ages of the subjects, pre-pregnancy body mass index (BMI), and weight gain during pregnancy were conducted.

Results

The ages of the subjects and weight gains during pregnancy were not correlated to the GDM of the second trimester of pregnancy, but the pre-pregnancy BMIs (22±3.3 kg/m²) and the ASFT (1.9±0.5 cm) measurements between the control group and subjects during the first trimester of pregnancy were found to show significant differences (P<0.001). The cut-off value of the ASFT for predicting GDM was determined to be 2.4 cm (area under the curve=0.90, sensitivity 75.61%, specificity 91.78%, P<0.001). The odds ratio was 2.91 (95% confidence interval, 1.07 to 7.92; P=0.034), which was higher than the 2.4 cm ASFT.

Conclusion

It was determined that ASFT as measured by US during the first trimester of pregnancy can be used to predict the risk of developing GDM during the second trimester of pregnancy and for prognosis.

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Abdominal subcutaneous fat thickness combined with a 50-g glucose challenge test at 24-28 weeks of pregnancy in predicting gestational diabetes mellitus
Süleyman Cemil Oğlak, Emine Zeynep Yılmaz, Mehmet Şükrü Budak
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The Value of Maternal Upper Abdominal Ad-ipose Thickness in Predicting GDM in Early Pregnancy
娜娜郭
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Evaluating the Adipose Tissue Depth as a Predictor Factor for Gestational Diabetes in Later Pregnancy—A Systematic Review
Bianca-Margareta Salmen, Valeria-Anca Pietrosel, Cristiana-Elena Durdu, Teodor Salmen, Cosmina Theodora Diaconu, Ioana-Cristina Bica, Claudia Gabriela Potcovaru, Florentina Gherghiceanu, Roxana-Adriana Stoica, Anca Pantea Stoian
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The Association Between Body Fat Index and Gestational Diabetes Mellitus: A Prospective Cohort Study
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Fernanda Teixeira Benevides, Edward Araujo Júnior, Carla Soraya Costa Maia, Renan Magalhães Montenegro Junior, Francisco Herlânio Costa Carvalho
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Shivani Gupta, Arjun Gupta, C. P. Swarnakar, Monika Rathore, Ramesh Beniwal, Kiran Meena, Anita Simlot, Nidhi Gupta
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Obesity and Metabolic Syndrome
Serum Calcium and the Risk of Incident Metabolic Syndrome: A 4.3-Year Retrospective Longitudinal Study: Jong Ha Baek, Sang-Man Jin, Ji Cheol Bae, Jae Hwan Jee, Tae Yang Yu, Soo Kyoung Kim, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim; Diabetes Metab J. 2017;41(1):60-68. Published online December 26, 2016; DOI: https://doi.org/10.4093/dmj.2017.41.1.60

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Background

An association between serum calcium level and risk of metabolic syndrome (MetS) has been suggested in cross-sectional studies. This study aimed to evaluate the association between baseline serum calcium level and risk of incident MetS in a longitudinal study.

Methods

We conducted a retrospective longitudinal study of 12,706 participants without MetS who participated in a health screening program, had normal range serum calcium level at baseline (mean age, 51 years), and were followed up for 4.3 years (18,925 person-years). The risk of developing MetS was analyzed according to the baseline serum calcium levels.

Results

A total of 3,448 incident cases (27.1%) of MetS developed during the follow-up period. The hazard ratio (HR) for incident MetS did not increase with increasing tertile of serum calcium level in an age- and sex-matched model (P for trend=0.915). The HRs (95% confidence interval [CI]) for incident MetS comparing the second and the third tertiles to the first tertile of baseline serum calcium level were 0.91 (95% CI, 0.84 to 0.99) and 0.85 (95% CI, 0.78 to 0.92) in a fully adjusted model, respectively (P for trend=0.001). A decreased risk of incident MetS in higher tertiles of serum calcium level was observed in subjects with central obesity and/or a metabolically unhealthy state at baseline.

Conclusion

There was no positive correlation between baseline serum calcium levels and incident risk of MetS in this longitudinal study. There was an association between higher serum calcium levels and decreased incident MetS in individuals with central obesity or two components of MetS at baseline.

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Haolong Qi, Bin Wang, Lei Zhu
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Association of the serum calcium level with metabolic syndrome and its components among adults in Taiwan
Jer-min Chen, Tai-yin Wu, Yi-fan Wu, Kuan-liang Kuo
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Elevated Chinese visceral adiposity index increases the risk of stroke in Chinese patients with metabolic syndrome
Zeyu Liu, Qin Huang, Bi Deng, Minping Wei, Xianjing Feng, Fang Yu, Jie Feng, Yang Du, Jian Xia
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Yulia A. Kononova, Nikolai P. Likhonosov, Alina Yu. Babenko
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Calcium and Phosphate Levels are Among Other Factors Associated with Metabolic Syndrome in Patients with Normal Weight

Kamila Osadnik, Tadeusz Osadnik, Marcin Delijewski, Mateusz Lejawa, Martyna Fronczek, Rafał Reguła, Mariusz Gąsior, Natalia Pawlas
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 1281. CrossRef
Association between selected trace elements and body mass index and waist circumference: A cross sectional study
Mahnaz Zohal, Saeedeh Jam-Ashkezari, Nasim Namiranian, Amin Moosavi, Akram Ghadiri-Anari
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 1293. CrossRef
Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
Jin Hwa Kim
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Genotype effects of glucokinase regulator on lipid profiles and glycemic status are modified by circulating calcium levels: results from the Korean Genome and Epidemiology Study
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Obesity and Metabolic Syndrome
Association between Blood Mercury Level and Visceral Adiposity in Adults: Jong Suk Park, Kyoung Hwa Ha, Ka He, Dae Jung Kim; Diabetes Metab J. 2017;41(2):113-120. Published online December 21, 2016; DOI: https://doi.org/10.4093/dmj.2017.41.2.113

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Abstract PDF PubReader

Background

Few studies have examined the association between mercury exposure and obesity. The aim of this study is to investigate the association between blood mercury concentrations and indices of obesity in adults.

Methods

A total of 200 healthy subjects, aged 30 to 64 years, who had no history of cardiovascular or malignant disease, were examined. Anthropometric and various biochemical profiles were measured. Visceral adipose tissue (VAT) was measured using dual-energy X-ray absorptiometry (DXA).

Results

All subjects were divided into three groups according to blood mercury concentrations. Compared with the subjects in the lowest tertile of mercury, those in the highest tertile were more likely to be male; were current alcohol drinkers and smokers; had a higher body mass index (BMI), waist circumference (WC), and VAT; had higher levels of blood pressure, fasting glucose, and insulin resistance; and consumed more fish. The blood mercury concentration was significantly associated with anthropometric parameters, showing relationships with BMI, WC, and VAT. After adjusting for multiple risk factors, the odds ratios (ORs) for high mercury concentration was significantly higher in the highest VAT tertile than in the lowest VAT tertile (OR, 2.66; 95% confidence interval, 1.05 to 6.62; P<0.05).

Conclusion

The blood mercury concentration was significantly associated with VAT in healthy adults. Further studies are warranted to confirm our findings.

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Giancarlo Garofalo, Tyson Nielsen, Samuel Caito
Toxics.2023; 11(11): 934. CrossRef
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Food Risk Assess Europe.2023;[Epub] CrossRef
Lead, mercury, and cadmium exposures are associated with obesity but not with diabetes mellitus: Korean National Environmental Health Survey (KoNEHS) 2015–2017
Min Kyong Moon, Inae Lee, Aram Lee, Hyunwoong Park, Min Joo Kim, Sunmi Kim, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Gi Jeong Cheon, Kyungho Choi, Young Joo Park, Jeongim Park
Environmental Research.2022; 204: 111888. CrossRef
The Effect of Mixture of Heavy Metals on Obesity in Individuals ≥50 Years of Age
Hai Nguyen Duc, Hojin Oh, Min-Sun Kim
Biological Trace Element Research.2022; 200(8): 3554. CrossRef
MicroRNA Expression Influences Methylmercury-Induced Lipid Accumulation and Mitochondrial Toxicity in Caenorhabditis elegans
Tyson Nielsen, Nicole Crawford, Megan Martell, Belal Khalil, Farooq Imtiaz, Jennifer L. Newell-Caito, Samuel Caito
Chemical Research in Toxicology.2022; 35(1): 77. CrossRef
Relationship Between Serum Levels of Arsenic, Cadmium, and Mercury and Body Mass Index and Fasting Plasma Glucose in a Mexican Adult Population
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Biological Trace Element Research.2022; 200(12): 4916. CrossRef
Heavy metal-induced lipogenic gene aberration, lipid dysregulation and obesogenic effect: a review
Yang Zhou, Frank Peprah Addai, Xinshuang Zhang, Yuelin Liu, Yinfeng Wang, Feng Lin, Alex Tuffour, Jie Gu, Guangxiang Liu, Haifeng Shi
Environmental Chemistry Letters.2022; 20(3): 1611. CrossRef
Differential fat accumulation in early adulthood according to adolescent‐BMI and heavy metal exposure
Larissa Betanzos‐Robledo, Martha M. Téllez‐Rojo, Hector Lamadrid‐Figueroa, Ernesto Roldan‐Valadez, Karen E. Peterson, Erica C. Jansen, Nil Basu, Alejandra Cantoral
New Directions for Child and Adolescent Development.2022; 2022(181-182): 37. CrossRef
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Korean Journal of Clinical Laboratory Science.2022; 54(3): 192. CrossRef
Plasma titanium level is positively associated with metabolic syndrome: A survey in China’s heavy metal polluted regions
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Ecotoxicology and Environmental Safety.2021; 208: 111435. CrossRef
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Biological Trace Element Research.2021; 199(8): 2874. CrossRef
Associations between metabolic syndrome and four heavy metals: A systematic review and meta-analysis
Ping Xu, Aiping Liu, Fengna Li, Alexey A. Tinkov, Longjian Liu, Ji-Chang Zhou
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Environmental Research.2021; 194: 110725. CrossRef
Mercury in the human adrenal medulla could contribute to increased plasma noradrenaline in aging
Roger Pamphlett, Stephen Kum Jew, Philip A. Doble, David P. Bishop
Scientific Reports.2021;[Epub] CrossRef
Multiple metal exposure and obesity: A prospective cohort study of adults living along the Yangtze River, China
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International Journal of Environmental Research and Public Health.2021; 18(12): 6412. CrossRef
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International Journal of Environmental Research and Public Health.2021; 18(15): 8195. CrossRef
Methylmercury chronic exposure affects the expression of DNA single-strand break repair genes, induces oxidative stress, and chromosomal abnormalities in young dyslipidemic APOE knockout mice
Cássia R. Roque, Letícia R. Sampaio, Mayumi N. Ito, Daniel V. Pinto, Juan S.R. Caminha, Paulo I.G. Nunes, Ramon S. Raposo, Flávia A. Santos, Cláudia C. Windmöller, Maria Elena Crespo-Lopez, Jacqueline I. Alvarez-Leite, Reinaldo B. Oriá, Ronald F. Pinheiro
Toxicology.2021; 464: 152992. CrossRef
Methylmercury-Induced Metabolic Alterations in Caenorhabditis elegans Are Diet-Dependent
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Scientific Reports.2021;[Epub] CrossRef
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Ky Young Cho
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Optimal Waist Circumference Cutoff Value Based on Insulin Resistance and Visceral Obesity in Koreans with Type 2 Diabetes: Jung Soo Lim, Young Ju Choi, Soo-Kyung Kim, Byoung Wook Huh, Eun Jig Lee, Kap Bum Huh; Diabetes Metab J. 2015;39(3):253-263. Published online April 24, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.3.253

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Background

Visceral obesity is the most powerful contributor to the development of metabolic syndrome (MetS) and cardiovascular diseases. In light of visceral obesity, however, there is a paucity of data on the appropriate cutoff point of waist circumference (WC) in subjects with type 2 diabetes. The aim of this study was to investigate the optimal cutoff value for WC that signals insulin resistance (IR) and visceral obesity in Koreans with type 2 diabetes.

Methods

We evaluated 4,252 patients with type 2 diabetes (male 2,220, female 2,032, mean age 57.24 years) who visited our clinic between January 2003 and June 2009. WC was measured at the midpoint between the lower rib and the iliac crest, and insulin sensitivity was assessed by the rate constant of plasma glucose disappearance (Kitt %/min) using an insulin tolerance test. Visceral fat thickness was measured using ultrasonography. Statistical analysis was performed using receiver operating characteristic curve.

Results

The optimal cutoff points for WC for identifying the presence of IR and visceral obesity, as well as two or more metabolic components, were 87 cm for men and 81 cm for women. Moreover, these cutoff points had the highest predictive powers for the presence of visceral obesity. The MetS defined by new criteria correlated with the increased carotid intima-media thickness in female subjects.

Conclusion

Our results suggest that the optimal cutoff values for WC in Koreans with type 2 diabetes should be reestablished based on IR and visceral obesity.

Citations

Citations to this article as recorded by

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Kyung Min Ko, Kyungdo Han, Youn Jee Chung, Kun-Ho Yoon, Yong Gyu Park, Seung-Hwan Lee
Endocrinology and Metabolism.2017; 32(2): 248. CrossRef
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International Journal of Cancer.2017; 140(12): 2657. CrossRef
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