Endocrinology and Metabolism

Original Articles

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Cardiovascular Outcomes of Obesity According to Menopausal Status: A Nationwide Population-Based Study: Bo Kyung Koo, Sang-Hyun Park, Kyungdo Han, Min Kyong Moon; Endocrinol Metab. 2021;36(5):1029-1041. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1197

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Background
We estimated the effect of obesity on the incidence of cardiovascular disease (CVD) and mortality in women according to menopausal status.
Methods
Women aged 40 to 69 years under routine health check-ups provided by the National Health Insurance Service in 2009 were followed up till 2018 (n=2,208,559).
Results
In premenopausal women, a significant increment of mortality rate was found in underweight and obesity class II (hazard ratio [HR], 1.48; 95% confidence interval [CI], 1.31 to 1.67; and HR, 1.25; 95% CI, 1.12 to 1.39) compared to normal body mass index (BMI); overweight and obesity class I did not affect mortality rate. In postmenopausal women, obesity as well as overweight status reduced the risk of mortality compared to normal BMI (HR, 0.86; 95% CI, 0.83 to 0.88; and HR, 0.84; 95% CI, 0.82 to 0.86). By contrast, there was a linear association between CVD and BMI above the normal range irrespective of menopausal status, which was attenuated in diabetic women.
Conclusion
The current study replicated the J-shaped relationship between BMI and mortality, being more prominent in the postmenopausal group. The risk of CVD was linearly increased as BMI was increased above the normal range irrespective of menopausal status.

Citations

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Biosocial predictors and blood pressure goal attainment among postmenopausal women with hypertension
Geetha Kandasamy, Thangamani Subramani, Gigi Sam, Mona Almanasef, Tahani Almeleebia, Eman Shorog, Asma M. Alshahrani, Amjad Hmlan, Atheer Y. Al Suhaym, Kousalya Prabahar, Vinoth Prabhu Veeramani, Palanisamy Amirthalingam
Frontiers in Cardiovascular Medicine.2024;[Epub] CrossRef
A nationwide cohort study on diabetes severity and risk of Parkinson disease
Kyungdo Han, Bongsung Kim, Seung Hwan Lee, Mee Kyoung Kim
npj Parkinson's Disease.2023;[Epub] CrossRef
Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
Diabetes & Metabolism Journal.2023; 47(1): 45. CrossRef
The effect of menopause on cardiovascular risk factors according to body mass index in middle-aged Korean women
Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Aysha Almas
PLOS ONE.2023; 18(3): e0283393. CrossRef
Low‐quality muscle mass rather than normal‐quality muscle mass determines fibrosis progression in biopsy‐proven NAFLD
Yun Kyu Lee, Bo Kyung Koo, Sae Kyung Joo, Dong Hyeon Lee, Heejoon Jang, Jee Won Chai, Myoung Seok Lee, Si Won Jang, Young Ho So, Jeong Hwan Park, Mee Soo Chang, Won Kim
Alimentary Pharmacology & Therapeutics.2023; 58(3): 322. CrossRef
Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
Respiratory Research.2023;[Epub] CrossRef
Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
Scientific Reports.2022;[Epub] CrossRef
Non-pharmacologic treatment for obesity
Bo Kyung Koo
Journal of the Korean Medical Association.2022; 65(7): 400. CrossRef

Clinical Study Big Data Articles (National Health Insurance Service Database)
Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study: Da Hye Kim, Ga Eun Nam, Kyungdo Han, Yang-Hyun Kim, Kye-Yeung Park, Hwan-Sik Hwang, Byoungduck Han, Sung Jung Cho, Seung Jin Jung, Yeo-Joon Yoon, Yong Kyun Roh, Kyung Hwan Cho, Yong Gyu Park; Endocrinol Metab. 2020;35(4):933-942. Published online December 23, 2020; DOI: https://doi.org/10.3803/EnM.2020.871

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Background
Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality.
Methods
We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses.
Results
During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability.
Conclusion
This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

Citations

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Gender differences in midlife to later-life cumulative burden and variability of obesity measures and risk of all-cause and cause-specific mortality
Karim Kohansal, Siamak Afaghi, Davood Khalili, Danial Molavizadeh, Farzad Hadaegh
International Journal of Obesity.2024; 48(4): 495. CrossRef
Association of body mass index and blood pressure variability with 10-year mortality and renal disease progression in type 2 diabetes
Stephen Fava, Sascha Reiff
Acta Diabetologica.2024;[Epub] CrossRef
Weight variability and cardiovascular outcomes: a systematic review and meta-analysis
Robert J. Massey, Moneeza K. Siddiqui, Ewan R. Pearson, Adem Y. Dawed
Cardiovascular Diabetology.2023;[Epub] CrossRef
Family history, waist circumference and risk of ischemic stroke: A prospective cohort study among Chinese adults
Lei Liu, Xiaojia Xue, Hua Zhang, Xiaocao Tian, Yunhui Chen, Yu Guo, Pei Pei, Shaojie Wang, Haiping Duan, Ruqin Gao, Zengchang Pang, Zhengming Chen, Liming Li
Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(4): 758. CrossRef
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef
Weight variability and diabetes complications
Francesco Prattichizzo, Chiara Frigé, Rosalba La Grotta, Antonio Ceriello
Diabetes Research and Clinical Practice.2023; 199: 110646. CrossRef
Research on obesity using the National Health Information Database: recent trends
Eun-Jung Rhee
Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35. CrossRef
Weight cycling and risk of clinical adverse events in patients with heart failure with preserved ejection fraction: a post-hoc analysis of TOPCAT
Yi Tan, Hang Guo, Ning Zhang, Keyang Zheng, Guifang Liu
Frontiers in Endocrinology.2023;[Epub] CrossRef
Weight variability, physical functioning and incident disability in older adults
Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648. CrossRef
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park, Kyung Mook Choi
Diabetes & Metabolism Journal.2022; 46(1): 49. CrossRef
Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
Scientific Reports.2022;[Epub] CrossRef
Lipid cutoffs for increased cardiovascular disease risk in non-diabetic young people
Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Kun-Ho Yoon, Seung-Hwan Lee
European Journal of Preventive Cardiology.2022; 29(14): 1866. CrossRef
Body Mass Index Is Independently Associated with the Presence of Ischemia in Myocardial Perfusion Imaging
Chrissa Sioka, Paraskevi Zotou, Michail I. Papafaklis, Aris Bechlioulis, Konstantinos Sakellariou, Aidonis Rammos, Evangelia Gkika, Lampros Lakkas, Sotiria Alexiou, Pavlos Kekiopoulos, Katerina K. Naka, Christos Katsouras
Medicina.2022; 58(8): 987. CrossRef
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial
Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu
Diabetes & Metabolism Journal.2022; 46(5): 767. CrossRef
Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
Diabetology & Metabolic Syndrome.2021;[Epub] CrossRef
Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinology and Metabolism.2021; 36(4): 845. CrossRef

Clinical Study
Relationships between Thigh and Waist Circumference, Hemoglobin Glycation Index, and Carotid Plaque in Patients with Type 2 Diabetes: Myung Ki Yoon, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm, Kap Bum Huh, Chul Sik Kim; Endocrinol Metab. 2020;35(2):319-328. Published online June 24, 2020; DOI: https://doi.org/10.3803/EnM.2020.35.2.319

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Background
This study investigated the relationships of thigh and waist circumference with the hemoglobin glycation index (HGI) and carotid atherosclerosis in patients with type 2 diabetes.
Methods
This observational study included 3,075 Korean patients with type 2 diabetes, in whom anthropometric measurements and carotid ultrasonography were conducted. HGI was defined as the measured hemoglobin A1c (HbA1c) level minus the predicted HbA1c level, which was calculated using the linear relationship between HbA1c and fasting plasma glucose levels. Carotid atherosclerosis was defined as a clearly isolated focal plaque or focal wall thickening >50% of the surrounding intima-media thickness.
Results
The frequency of a positive HGI decreased with increasing thigh circumference in men and increased with increasing waist circumference in women after adjusting for potential confounding variables. Thigh and waist circumference had a combined augmentative effect on the likelihood of positive HGI, which was dramatically higher in patients in higher waist-to-thigh ratio quartiles (adjusted odds ratios for the highest compared to the lowest quartile: 1.595 in men and 1.570 in women). Additionally, the larger the thigh circumference, the lower the risk of carotid atherosclerosis, although in women, this relationship lacked significance after adjustment for potential confounders.
Conclusion
HGI was associated with thigh circumference in men and waist circumference in women. In addition, the combination of low thigh circumference and high waist circumference was strongly associated with a higher HGI in Korean patients with type 2 diabetes. In particular, thigh circumference was associated with carotid atherosclerosis in men. However, further longitudinal studies are warranted.

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Association between hemoglobin glycation index and subclinical myocardial injury in the general population free from cardiovascular disease
Zhenwei Wang, Yihai Liu, Jing Xie, Nai-Feng Liu
Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(2): 469. CrossRef
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Zhezhe Chen, Duanbin Li, Maoning Lin, Hangpan Jiang, Tian Xu, Yu Shan, Guosheng Fu, Min Wang, Wenbin Zhang
Frontiers in Physiology.2022;[Epub] CrossRef
Associations of continuous glucose monitoring-assessed glucose variability with intima-media thickness and ultrasonic tissue characteristics of the carotid arteries: a cross-sectional analysis in patients with type 2 diabetes
Naohiro Taya, Naoto Katakami, Tomoya Mita, Yosuke Okada, Satomi Wakasugi, Hidenori Yoshii, Toshihiko Shiraiwa, Akihito Otsuka, Yutaka Umayahara, Kayoko Ryomoto, Masahiro Hatazaki, Tetsuyuki Yasuda, Tsunehiko Yamamoto, Masahiko Gosho, Iichiro Shimomura, Hi
Cardiovascular Diabetology.2021;[Epub] CrossRef

Review Article

Obesity and Metabolism
Myths about Insulin Resistance: Tribute to Gerald Reaven: Sun H. Kim, Fahim Abbasi; Endocrinol Metab. 2019;34(1):47-52. Published online March 21, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.1.47

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Gerald Reaven was often called the “father of insulin resistance.” On the 1-year anniversary of his death in 2018, we challenge three myths associated with insulin resistance: metformin improves insulin resistance; measurement of waist circumference predicts insulin resistance better than body mass index; and insulin resistance causes weight gain. In this review, we highlight Reaven's relevant research that helped to dispel these myths associated with insulin resistance.

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Original Articles

Clinical Study
Waist Circumference as a Marker of Obesity Is More Predictive of Coronary Artery Calcification than Body Mass Index in Apparently Healthy Korean Adults: The Kangbuk Samsung Health Study: Jongsin Park, Eun Seo Lee, Da Young Lee, Jihyun Kim, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2016;31(4):559-566. Published online December 20, 2016; DOI: https://doi.org/10.3803/EnM.2016.31.4.559

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Background

We aimed to assess the risk for coronary artery calcification (CAC) according to groups subdivided by body mass index (BMI) and waist circumference (WC) in apparently healthy Korean adults.

Methods

Thirty-three thousand four hundred and thirty-two participants (mean age, 42 years) in a health screening program were divided into three groups according to BMI: <23 kg/m² (normal), 23 to 25 kg/m² (overweight), and >25 kg/m² (obese). In addition, the participants were divided into two groups according to WC. Coronary artery calcium score (CACS) was measured with multi-detector computed tomography in all participants. Presence of CAC was defined as CACS >0.

Results

When logistic regression analysis was performed with the presence of CAC as the dependent variable, the risk for CAC increased as BMI increased after adjusting for confounding variables (1.102 [95% confidence interval (CI), 1.000 to 1.216]; 1.284 [95% CI, 1.169 to 1.410]; in the overweight and obese groups vs. the normal weight group). When the participants were divided into six groups according to BMI and WC, the subjects with BMI and WC in the obese range showed the highest risk for CAC (1.321 [95% CI, 1.194 to 1.461]) and those with BMI in the overweight range and WC in the obese range showed the second highest risk for CAC (1.235 [95% CI, 1.194 to 1.461]).

Conclusion

Participants with obesity defined by both BMI and WC showed the highest risk for CAC. Those with BMIs in the overweight range but with WC in the obese range showed the second highest risk for CAC, suggesting that WC as a marker of obesity is more predictive of CAC than BMI.

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Clinical Study
Association of Waist-Height Ratio with Diabetes Risk: A 4-Year Longitudinal Retrospective Study: Yoon Jeong Son, Jihyun Kim, Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2016;31(1):127-133. Published online March 16, 2016; DOI: https://doi.org/10.3803/EnM.2016.31.1.127

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Background

Waist-to-height ratio (WHtR) is an easy and inexpensive adiposity index that reflects central obesity. In this study, we examined the association of various baseline adiposity indices, including WHtR, with the development of diabetes over 4 years of follow-up in apparently healthy Korean individuals.

Methods

A total of 2,900 nondiabetic participants (mean age, 44.3 years; 2,078 men) in a health screening program, who repeated the medical check-up in 2005 and 2009, were recruited. Subjects were divided into two groups according to development of diabetes after 4 years. The cut-off values of baseline body mass index (BMI), waist circumference (WC), and WHtR for the development of diabetes over 4 years were calculated. The sensitivity, specificity, and mean area under the receiver operator characteristic curve (AUROC) of each index were assessed. The odds ratio (OR) for diabetes development was analyzed for each of the three baseline adiposity indices.

Results

During the follow-up period, 101 new cases (3.5%) of diabetes were diagnosed. The cut-off WHtR value for diabetes development was 0.51. Moreover, WHtR had the highest AUROC value for diabetes development among the three adiposity indices (0.716, 95% confidence interval [CI], 0.669 to 0.763; 0.702, 95% CI, 0.655 to 0.750 for WC; 0.700, 95% CI, 0.651 to 0.750 for BMI). After adjusting for confounding variables, the ORs of WHtR and WC for diabetes development were 1.95 (95% CI, 1.14 to 3.34) and 1.96 (95% CI, 1.10 to 3.49), respectively. No significant differences were observed between the two groups regarding BMI.

Conclusion

Increased baseline WHtR and WC correlated with the development of diabetes after 4 years. WHtR might be a useful screening measurement to identify individuals at high risk for diabetes.

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Comparison of waist circumference and waist‐to‐height ratio as predictors of clustering of cardiovascular risk factors among middle‐aged people in rural Khanh Hoa, Vietnam
Rachana Manandhar Shrestha, Thuy Thi Phuong Pham, Shohei Yamamoto, Chau Que Nguyen, Ami Fukunaga, Phan Cong Danh, Masahiko Hachiya, Huy Xuan Le, Hung Thai Do, Tetsuya Mizoue, Yosuke Inoue
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Obesity and Metabolism
Increased Risk of Diabetes Development in Subjects with the Hypertriglyceridemic Waist Phenotype: A 4-Year Longitudinal Study: Ki Joong Han, Shin Yeoung Lee, Nam Hee Kim, Hyun Beom Chae, Tae Hoon Lee, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Won Seon Jeon, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2014;29(4):514-521. Published online December 29, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.4.514

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Background

The hypertriglyceridemic waist (HTGW) phenotype is a simple and inexpensive screening parameter to identify people at increased risk of cardiovascular disease. We evaluated whether the HTGW phenotype predicts diabetes in urban Korean adults.

Methods

A total of 2,900 nondiabetic subjects (mean age 44.3 years), comprising 2,078 males (71.7%) and 822 females (28.3%) who underwent annual medical check-ups at our center between January 2005 and December 2009, were recruited. The subjects were divided into four groups according to baseline serum triglyceride (TG) level and waist circumference (WC): normal WC-normal TG (NWNT) level, normal WC-high TG level, enlarged WC-normal TG level, and enlarged WC-high TG (EWHT) level. High serum TG level was defined as ≥150 mg/dL and enlarged WC was defined as ≥90 cm for men and ≥85 cm for women. New cases of diabetes were determined according to questionnaires filled in by participants and the diagnostic criteria of the American Diabetes Association. Cox proportional hazards model analysis was used to assess the association of HTGW phenotype with the incidence of diabetes.

Results

A total of 101 (3.5%) new diabetes cases were diagnosed during the study period. The EWHT group had a higher incidence of diabetes (8.3%) compared with the NWNT group (2.2%). The adjusted hazard ratio for diabetes for subjects with the EWHT phenotype at baseline was 4.113 (95% confidence interval [CI], 2.397 to 7.059) after adjustment for age, and 2.429 (95% CI, 1.370 to 4.307) after adjustment for age, sex, total cholesterol, systolic blood pressure, and alcohol drinking history. It was attenuated by inclusion of baseline fasting glucose level in the model.

Conclusion

Subjects with the HTGW phenotype showed the highest risk of incident diabetes. This tool could be useful for identifying individuals at high risk of diabetes.

Citations

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Review Article

Obesity and Metabolism
Optimal Waist Circumference Cutoff Values for the Diagnosis of Abdominal Obesity in Korean Adults: Yeong Sook Yoon, Sang Woo Oh; Endocrinol Metab. 2014;29(4):418-426. Published online December 29, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.4.418

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Abdominal obesity is associated closely with insulin resistance, diabetes, and cardiovascular disease. Waist circumference (WC) is a useful surrogate marker commonly used for abdominal adiposity. The determination of WC cutoff levels is important in the prevention and treatment of obesity, type 2 diabetes, and related cardiovascular diseases. Recent epidemiological evidence suggested that appropriate optimal cutoffs for Koreans ranged over 80 to 89.8 cm in males and 76.1 to 86.5 cm in females. We analyzed the data from two large cohorts using receiver operating characteristic curve analysis with the incidences of diabetes, hypertension, dyslipidemia, cerebrovascular disease, myocardial infarct, angina, coronary artery disease, and multiple metabolic risk factors as outcome variables. Optimal WC cutoff points for Koreans were 85 cm in males and 80 cm in females. However, considering the prevalence of abdominal obesity and the health costs for its prevention and management, 90 cm in males and 85 cm in females are probably more appropriate thresholds for abdominal obesity. These values may be modified once better research is performed through prospective studies using representative populations, common health outcomes, and proper analytical approaches.

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Original Articles

Obesity and Metabolism
The Impact of Different Anthropometric Measures on Sustained Normotension, White Coat Hypertension, Masked Hypertension, and Sustained Hypertension in Patients with Type 2 Diabetes: Baris Afsar; Endocrinol Metab. 2013;28(3):199-206. Published online September 13, 2013; DOI: https://doi.org/10.3803/EnM.2013.28.3.199

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Abstract PDF PubReader

Background

Many studies have aimed to determine whether body mass index (BMI), waist circumference (WC), or waist to hip ratio (WHR) best predicts hypertension in diabetic patients, with conflicting results. However, no study has examined the specific relationship between these anthropometric parameters with sustained normotension (SNT), white coat hypertension (WCHT), masked hypertension (MHT), and sustained hypertension (SHT) based on office and ambulatory blood pressure (BP) measurements in these patients.

Methods

Patients with newly diagnosed type 2 diabetes underwent the following procedures: history taking, measurements of anthropometric parameters, office and ambulatory BP measurements, physical examination, laboratory analysis, and random and 24-hour urine analysis.

Results

In total, there were 65 dippers and 37 nondipper patients. None of the anthropometric parameters were different between the dippers and the nondippers. There were 25 patients with SNT, 32 with WCHT, seven with MHT, and 38 with SHT. A comparison of anthropometric parameters between these four groups of patients showed that WC (P=0.016) and WHR (P=0.015) were different among all groups. According to regression analysis, only BMI was independently related with MHT (odds ratio [OR], 1.373, P=0.022), whereas only WC has been associated with SHT (OR, 1.321, P=0.041).

Conclusion

Among anthropometric parameters, only WC and WHR were different in SNT, WCHT, MHT, and SHT in newly diagnosed patients with type 2 diabetes.

Citations

Citations to this article as recorded by

Masked arterial hypertension: what is known and what expected to be learned?
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Mirelli Dantas Andrade, Maria Camila Pruper de Freitas, Alyne Mayumi Sakumoto, Caroline Pappiani, Samantha Caesar de Andrade, Viviane Laudelino Vieira, Nágila Raquel Teixeira Damasceno
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Relationship with Serum Adiponectin Concentrations and Obesity in Korean Children.: Hyoun Ah Kim, Hyoung Suk Lee, Chul Sik Kim, Chul Woo Ahn, Yoon Sok Chung, Kwan Woo Lee, Kap Bum Huh, Dae Jung Kim; J Korean Endocr Soc. 2003;18(5):473-480. Published online October 1, 2003

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Abstract PDF: BACKGROUND
Adiponectin is an adipocytokine that is highly specific to adipose tissue. In contrast to other adipocytokine, the adiponectin levels are decreased in obesity and/or type 2 diabetes. There are few studies regarding the correlation between the adiponectin concentration and obesity in children. Thus, whether the serum adiponectin concentrations are associated with adiposity in children was investigated. METHODS: One hundred and sixty four subjects were selected from the participants in an ongoing study on the relationship between birth weight and insulin resistance in children. The current weights, heights, body fat percentages, waist circumferences, blood pressures, lipid profiles and insulin resistance, by the HOMA method, were measured in all the subjects. The serum adiponectin concentrations were determined by a validated sandwich ELISA, using a human adiponectin-specific antibody. RESULTS: The serum adiponectin concentration was negatively correlated with the body mass index, waist circumference, systolic blood pressure, insulin resistance by HOMA and serum triglycerides, and positively correlated with the serum HDL cholesterol level. The serum adiponectin concentrations in the boys were significantly lower than in the girls. In a multiple regression analysis, the serum adiponectin concentration was strongly associated with waist circumference and gender. CONCLUSION: It is concluded that there was an inverse relationship between the serum adiponectin concentration and abdominal adiposity in children. However, further studies on independent gender differences on adiponectin are needed.

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