- Obesity and Metabolic Syndrome
- The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
-
Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Shinje Moon, Dong Sun Kim
-
Diabetes Metab J. 2019;43(5):675-682. Published online April 26, 2019
-
DOI: https://doi.org/10.4093/dmj.2018.0169
-
-
8,465
View
-
60
Download
-
3
Web of Science
-
3
Crossref
-
Abstract
PDFSupplementary MaterialPubReader
- Background
In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Korean representative sample. MethodsData were collected from the Korea National Health and Nutrition Examination VI to V. The association between CVD and obesity indices was analyzed using a receiver operating characteristic curve. The cut-off value for the LBSIZ was estimated using the Youden index, and the odds ratio (OR) for CVD was determined via multivariate logistic regression analysis. ORs according to the LBSIZ value were analyzed using restricted cubic spline regression plots. ResultsA total of 31,227 Korean healthy adults were analyzed. Area under the curve (AUC) of LBSIZ against CVD was 0.686 (95% confidence interval [CI], 0.671 to 0.702), which was significantly higher than the AUC of BMI (0.583; 95% CI, 0.567 to 0.599) or WC (0.646; 95% CI, 0.631 to 0.661) (P<0.001). Similar results were observed for stroke and coronary artery diseases. The cut-off value for the LBSIZ was 0.35 (sensitivity, 64.5%; specificity, 64%; OR, 1.29, 95% CI, 1.12 to 1.49). Under restricted cubic spline regression, LBSIZ demonstrated that OR started to increase past the median value. ConclusionThe findings of this study suggest that the LBSIZ might be more strongly associated with CVD risks compared to BMI or WC. These outcomes would be helpful for CVD risk assessment in clinical settings, especially the cut-off value of the LBSIZ suggested in this study.
-
Citations
Citations to this article as recorded by
- Body Shape Index and Cardiovascular Risk in Individuals With Obesity
Nazlı Hacıağaoğlu, Can Öner, Hüseyin Çetin, Engin Ersin Şimşek Cureus.2022;[Epub] CrossRef - Association between body shape index and risk of mortality in the United States
Heysoo Lee, Hye Soo Chung, Yoon Jung Kim, Min Kyu Choi, Yong Kyun Roh, Wankyo Chung, Jae Myung Yu, Chang-Myung Oh, Shinje Moon Scientific Reports.2022;[Epub] CrossRef - Utility of the Z-score of log-transformed A Body Shape Index (LBSIZ) in the assessment for sarcopenic obesity and cardiovascular disease risk in the United States
Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Dong Sun Kim, Shinje Moon Scientific Reports.2019;[Epub] CrossRef
- Clinical Diabetes & Therapeutics
- Association between Serum Selenium Level and the Presence of Diabetes Mellitus: A Meta-Analysis of Observational Studies
-
Juno Kim, Hye Soo Chung, Min-Kyu Choi, Yong Kyun Roh, Hyung Joon Yoo, Jung Hwan Park, Dong Sun Kim, Jae Myung Yu, Shinje Moon
-
Diabetes Metab J. 2019;43(4):447-460. Published online January 2, 2019
-
DOI: https://doi.org/10.4093/dmj.2018.0123
-
-
7,021
View
-
104
Download
-
35
Web of Science
-
36
Crossref
-
Abstract
PDFSupplementary MaterialPubReader
- Background
Epidemiological studies have suggested an association between selenium (Se) and diabetes mellitus (DM). However, different studies have reported conflicting results. Therefore, we performed a comprehensive meta-analysis to clarify the impact of Se on DM. MethodsWe searched the PubMed database for studies on the association between Se and DM from inception to June 2018. ResultsTwenty articles evaluating 47,930 participants were included in the analysis. The meta-analysis found that high levels of Se were significantly associated with the presence of DM (pooled odds ratios [ORs], 1.88; 95% confidence interval [CI], 1.44 to 2.45). However, significant heterogeneity was found (I2=82%). Subgroup analyses were performed based on the Se measurement methods used in each study. A significant association was found between high Se levels and the presence of DM in the studies that used blood (OR, 2.17; 95% CI, 1.60 to 2.93; I2=77%), diet (OR, 1.61; 95% CI, 1.10 to 2.36; I2=0%), and urine (OR, 1.49; 95% CI, 1.02 to 2.17; I2=0%) as samples to estimate Se levels, but not in studies on nails (OR, 1.24; 95% CI, 0.52 to 2.98; I2=91%). Because of significant heterogeneity in the studies with blood, we conducted a sensitivity analysis and tested the publication bias. The results were consistent after adjustment based on the sensitivity analysis as well as the trim and fill analysis for publication bias. ConclusionThis meta-analysis demonstrates that high levels of Se are associated with the presence of DM. Further prospective and randomized controlled trials are warranted to elucidate the link better.
-
Citations
Citations to this article as recorded by
- Response: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442–6)
-
Jung Hwan Park, Dong Sun Kim
-
Diabetes Metab J. 2018;42(6):546-547. Published online December 17, 2018
-
DOI: https://doi.org/10.4093/dmj.2018.0248
-
-
4,099
View
-
41
Download
-
1
Crossref
-
PDFPubReader
-
Citations
Citations to this article as recorded by
- WITHDRAWN: Efficacy of High-frequency Ultrasound Image Information Diagnosis on Neurological-abnormality in Patients with Type-2-diabetes Combined with Peripheral- neuropathy
Xiaoqiang Liu, Hongyan Zhou, Zhaoyun Wang, Xiaoli Liu, Xin Li, Chen Nie, Yang Li Neuroscience Letters.2020; : 135205. CrossRef
- Complications
- The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice
-
Jung Hwan Park, Dong Sun Kim
-
Diabetes Metab J. 2018;42(5):442-446. Published online October 22, 2018
-
DOI: https://doi.org/10.4093/dmj.2017.0090
-
-
4,867
View
-
72
Download
-
18
Web of Science
-
16
Crossref
-
Abstract
PDFPubReader
Early recognition and appropriate management of diabetic peripheral polyneuropathy (DPNP) is important. We evaluated the necessity of simple, non-invasive tests for DPNP detection in clinical practice. We enrolled 136 randomly-chosen patients with type 2 diabetes mellitus and examined them with the 10-g Semmes-Weinstein monofilament examination, the 128-Hz tuning-fork, ankle-reflex, and pinprick tests; the Total Symptom Score and the 15-item self-administered questionnaire of the Michigan Neuropathy Screening Instrument. Among 136 patients, 48 had subjective neuropathic symptoms and 88 did not. The abnormal-response rates varied depending on the methods used according to the presence of subjective neuropathic symptoms (18.8% vs. 5.7%, P<0.05; 58.3% vs. 28.4%, P<0.005; 81.3% vs. 54.5%, P<0.005; 12.5% vs. 5.7%, P=0.195; 41.7% vs. 2.3%, P<0.001; and 77.1% vs. 9.1%, P<0.001; respectively). The largest abnormal response was derived by combining all methods. Moreover, these tests should be implemented more extensively in diabetic patients without neuropathic symptoms to detect DPNP early.
-
Citations
Citations to this article as recorded by
- Risk factors associated with the severity of overactive bladder among Syrian patients with type 2 diabetes
Fater A. Khadour, Younes A. Khadour, Weaam Alhatem, Deema Al Barroush Scientific Reports.2024;[Epub] CrossRef - Risk factors associated with overactive bladder severity in patients with type 2 diabetes
Fater A. Khadour, Younes A. Khadour, Weaam Alhatem, Deema Al Barroush, Tao Xu Neurourology and Urodynamics.2024;[Epub] CrossRef - A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury, Mohd Ibrahim bin Shapiai, Rayaz A. Malik, Mohammed Alhatou, Syoji Kobashi, Iffat Ara, Sawal H. M. Ali, Ahmad A. A. Bakar, Mohammad Arif Sobhan Bhuiyan Diagnostics.2023; 13(2): 264. CrossRef - Effect of Diabetic Neuropathy on Reparative Ability and Immune Response System
Emina Karahmet Sher, Besim Prnjavorac, Esma Karahmet Farhat, Benjamin Palić, Sabah Ansar, Farooq Sher Molecular Biotechnology.2023;[Epub] CrossRef - Novel therapeutical approaches based on neurobiological and genetic strategies for diabetic polyneuropathy – A review
Emina Karahmet Sher, Amina Džidić-Krivić, Alma Karahmet, Merima Beća-Zećo, Esma Karahmet Farhat, Adaleta Softić, Farooq Sher Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(11): 102901. CrossRef - SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
Tae Jung Oh, Yoojung Song, Hak Chul Jang, Sung Hee Choi Diabetes & Metabolism Journal.2022; 46(2): 319. CrossRef - Detection of diabetic polyneuropathy in a family medicine clinic by using monofilament
Biljana Lakic, Verica Petrovic, Maja Racic, Kosana Stanetic Vojnosanitetski pregled.2022; 79(4): 383. CrossRef - Effectiveness of Semmes Weinstein 10 gm monofilament in diabetic peripheral neuropathy taking nerve conduction and autonomic function study as reference tests
Suchitra Dube, Sandip M. Hulke, Santosh L. Wakode, Sagar Khadanga, Avinash E. Thakare, Rajay N. Bharshankar, Abhijit Pakhare Journal of Family Medicine and Primary Care.2022; 11(10): 6204. CrossRef - Association between Sleep Quality and Painless Diabetic Peripheral Neuropathy Assessed by Current Perception Threshold in Type 2 Diabetes Mellitus
Dughyun Choi, Bo-Yeon Kim, Chan-Hee Jung, Chul-Hee Kim, Ji-Oh Mok Diabetes & Metabolism Journal.2021; 45(3): 358. CrossRef - Diabetic neuropathies
Kamakshi Patel, Holli Horak, Ezgi Tiryaki Muscle & Nerve.2021; 63(1): 22. CrossRef - Diabetic peripheral neuropathy
Joyce K. Anastasi, Chloe Klug Nursing.2021; 51(4): 34. CrossRef - A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad E.H. Chowdhury, Sawal Hamid Md Ali, Ahmad Ashrif A Bakar, Tawsifur Rahman, Syoji Kobashi, Chitra A. Dhawale, Mohammad Arif Sobhan Bhuiyan Computers in Biology and Medicine.2021; 139: 104954. CrossRef - Diabetic Peripheral Neuropathy: Is it Underdiagnosed?
Rizaldy T. Pinzon, M. Kes, Rosa De Lima R. Sa Asian Journal of Biological Sciences.2020; 13(2): 168. CrossRef - Risk factors associated with the progression of overactive bladder among patients with type 2 diabetes
Yiyi Zhu, Zaisheng Zhu, Jiajun Chen International Journal of Clinical Practice.2019;[Epub] CrossRef - Response: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442–6)
Jung Hwan Park, Dong Sun Kim Diabetes & Metabolism Journal.2018; 42(6): 546. CrossRef - Letter: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442-6)
Jun Hwa Hong Diabetes & Metabolism Journal.2018; 42(6): 544. CrossRef
|