Endocrinology and Metabolism

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.

Citations

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Mahmoud Al Rifai, Alka M. Kanaya, Namratha R Kandula, Jaideep Patel, Mouaz H. Al-Mallah, Matthew Budoff, Miguel Cainzos-Achirica, Michael H. Criqui, Salim S. Virani
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Clinical Study
The Relationship between 10-Year Cardiovascular Risk Calculated Using the Pooled Cohort Equation and the Severity of Non-Alcoholic Fatty Liver Disease: Jeong In Lee, Min Chul Kim, Byung Sub Moon, Young Seok Song, Eun Na Han, Hyo Sun Lee, Yoonjeong Son, Jihyun Kim, Eun Jin Han, 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):86-92. Published online March 16, 2016; DOI: https://doi.org/10.3803/EnM.2016.31.1.86

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Abstract PDF PubReader

Background

We investigated the association between the severity of non-alcoholic fatty liver disease (NAFLD) and the estimated 10-year risk of cardiovascular disease (CVD) calculated by Pooled Cohort Equation (PCE) and Framingham risk score (FRS).

Methods

A total of 15,913 participants (mean age, 46.3 years) in a health screening program were selected for analysis. The presence and severity of fatty liver was assessed by abdominal ultrasonogram. Subjects who drank alcohol more than three times a week were excluded from the study.

Results

Among the participants, 57.6% had no NAFLD, 35.4% had grade I, 6.5% had grade II, and 0.5% had grade III NAFLD. Mean estimated 10-year CVD risk was 2.59%, 3.93%, 4.68%, and 5.23% calculated using the PCE (P for trend <0.01) and 4.55%, 6.39%, 7.33%, and 7.13% calculated using FRS, according to NAFLD severity from none to severe (P for trend <0.01). The odds ratio for ≥7.5% estimated CVD risk calculated using the PCE showed a higher correlation with increasing severity of NAFLD even after adjustment for conventional CVD risk factors (1.52, 2.56, 3.35 vs. the no NAFLD group as a reference, P<0.01) compared with calculated risk using FRS (1.65, 1.62, 1.72 vs. no NAFLD group as a reference, P<0.01).

Conclusion

In our study of apparently healthy Korean adults, increasing severity of NAFLD showed a higher correlation with estimated 10-year CVD risk when calculated using the PCE than when calculated using FRS.

Citations

Citations to this article as recorded by

Nonalcoholic Fatty Liver Disease Increases Cardiovascular Risk in Inflammatory Bowel Diseases
Dana Kablawi, Faisal Aljohani, Chiara Saroli Palumbo, Sophie Restellini, Alain Bitton, Gary Wild, Waqqas Afif, Peter L Lakatos, Talat Bessissow, Giada Sebastiani
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Low Relative Handgrip Strength Is Associated with a High Risk of Non-Alcoholic Fatty Liver Disease in Italian Adults: A Retrospective Cohort Study
Samantha Maurotti, Roberta Pujia, Elisa Mazza, Maria Francesca Pileggi, Franco Arturi, Maria Grazia Tarsitano, Tiziana Montalcini, Arturo Pujia, Yvelise Ferro
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Mohammad E. Khamseh, Mojtaba Malek, Rowshanak Abbasi, Hoda Taheri, Maryam Lahouti, Fariba Alaei-Shahmiri
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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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37 Download
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Abstract PDF PubReader

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.

Citations

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Ceren Gezer
Journal of Food and Health Science.2017; : 141. CrossRef

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