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Sang Ouk Chin  (Chin SO) 5 Articles
Metabolic Risk/Epidemiology
Trends in the Prevalence of Obesity and Its Phenotypes Based on the Korea National Health and Nutrition Examination Survey from 2007 to 2017 in Korea
Sang Ouk Chin, You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
Diabetes Metab J. 2022;46(5):808-812.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0226
  • 5,121 View
  • 236 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
This study used data from the Korea National Health and Nutrition Examination Survey IV–VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).

Citations

Citations to this article as recorded by  
  • Link between obesity and growth in children and adolescents
    Hae Sang Lee
    Journal of the Korean Medical Association.2024; 67(5): 330.     CrossRef
  • Hormonal Gut–Brain Signaling for the Treatment of Obesity
    Eun Roh, Kyung Mook Choi
    International Journal of Molecular Sciences.2023; 24(4): 3384.     CrossRef
  • Differences of Regional Fat Distribution Measured by Magnetic Resonance Imaging According to Obese Phenotype in Koreans
    Ha-Neul Choi, Hyunjung Lim, Young-Seol Kim, Sang-Youl Rhee, Jung-Eun Yim
    Metabolic Syndrome and Related Disorders.2022; 20(10): 551.     CrossRef
Obesity and Metabolic Syndrome
Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis
Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong-taek Woo, Sang Youl Rhee
Diabetes Metab J. 2018;42(4):320-329.   Published online April 24, 2018
DOI: https://doi.org/10.4093/dmj.2017.0104
  • 5,322 View
  • 48 Download
  • 6 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   
Background

Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

Methods

Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

Results

Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m2 in average (95% confidence interval, −2.26 to −2.04). From a multilevel model, PM10 (β=0.04, P=0.002) and PM2.5 (β=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (βAQI*time=1.5×10–5; P<0.001) by mixed effects model.

Conclusion

This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Citations

Citations to this article as recorded by  
  • What could be the reasons for not losing weight even after following a weight loss program?
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    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
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    Toxicology Reports.2023; 11: 10.     CrossRef
  • Effects of Ambient Particulate Matter (PM2.5) Exposure on Calorie Intake and Appetite of Outdoor Workers
    Thavin Kumar Mathana Sundram, Eugenie Sin Sing Tan, Hwee San Lim, Farahnaz Amini, Normina Ahmad Bustami, Pui Yee Tan, Navedur Rehman, Yu Bin Ho, Chung Keat Tan
    Nutrients.2022; 14(22): 4858.     CrossRef
  • Efficiency in reducing air pollutants and healthcare expenditure in the Seoul Metropolitan City of South Korea
    Subal C. Kumbhakar, Jiyeon An, Masoomeh Rashidghalam, Almas Heshmati
    Environmental Science and Pollution Research.2021; 28(20): 25442.     CrossRef
  • Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study
    Ying Teng, Shun-Wei Huang, Zhen Li, Qiao-Mei Xie, Man Zhang, Qiu-Yue Lou, Fang Wang, Yan-Feng Zou
    Obesity Research & Clinical Practice.2020; 14(3): 225.     CrossRef
  • Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea
    Daeun Kim, Jeongyeong Kim, Jaehwan Jeong, Minha Choi
    Environmental Research.2019; 173: 452.     CrossRef
  • Appropriate Medical Technology in the Era of the 4th Industrial Revolution
    Sang Youl Rhee
    The Korean Journal of Medicine.2019; 94(5): 387.     CrossRef
  • Can Air Pollution Biologically Hinder Efforts to Lose Body Weight?
    Duk-Hee Lee
    Diabetes & Metabolism Journal.2018; 42(4): 282.     CrossRef
A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction
Yu Jin Kim, Sang Youl Rhee, Jong Kyu Byun, So Young Park, Soo Min Hong, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Young Seol Kim
Diabetes Metab J. 2015;39(3):207-217.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.207
  • 11,166 View
  • 74 Download
  • 39 Web of Science
  • 49 Crossref
AbstractAbstract PDFPubReader   
Background

We developed for the first time a smartphone application designed for diabetes self-management in Korea and registered a patent for the relevant algorithm. We also investigated the user satisfaction with the application and the change in diabetes related self-care activities after using the application.

Methods

We conducted a questionnaire survey on volunteers with diabetes who were using the application. Ninety subjects responded to the questionnaire between June 2012 and March 2013. A modified version of the Summary of Diabetes Self-Care Activities (SDSCA) was used in this study.

Results

The survey results exhibited a mean subject age of 44.0 years old, and males accounted for 78.9% of the subjects. Fifty percent of the subjects had diabetes for less than 3 years. The majority of respondents experienced positive changes in their clinical course after using the application (83.1%) and were satisfied with the structure and completeness of the application (86.7%). Additionally, the respondents' answers indicated that the application was easy to use (96.7%) and recommendable to others (97.7%) and that they would continue using the application to manage their diabetes (96.7%). After using the Diabetes Notepad application, diabetes related self-care activities assessed by SDSCA displayed statistically significant improvements (P<0.05), except for the number of days of drinking.

Conclusion

This smartphone-based application can be a useful tool leading to positive changes in diabetes related self-care activities and increase user satisfaction.

Citations

Citations to this article as recorded by  
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    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
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    Andrew Donkor, Jennifer Akyen Ayitey, Prince Nyansah Adotey, Esther Oparebea Ofori, Doris Kitson-Mills, Verna Vanderpuye, Samuel Yaw Opoku, Tim Luckett, Meera R. Agar, Penelope Engel-Hills
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    I. N. Napolsky, P. V. Popova
    Russian Journal for Personalized Medicine.2022; 2(1): 15.     CrossRef
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    Lipilekha Patnaik, Sandeep Kumar Panigrahi, Abhay Kumar Sahoo, Debahuti Mishra, Anil Kumar Muduli, Saswatika Beura
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    Berna Dincer, Nefise Bahçecik
    Health Education Journal.2021; 80(4): 425.     CrossRef
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    Claudia Eberle, Maxine Löhnert, Stefanie Stichling
    JMIR mHealth and uHealth.2021; 9(2): e23477.     CrossRef
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    Claudia Eberle, Stefanie Stichling, Maxine Löhnert
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  • The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review
    Maryam Zahmatkeshan, Somayyeh Zakerabasali, Mojtaba Farjam, Yousef Gholampour, Maryam Seraji, Azita Yazdani
    Journal of Medicine and Life.2021; 14(2): 131.     CrossRef
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    Meghan Bradway, Elia Gabarron, Monika Johansen, Paolo Zanaboni, Patricia Jardim, Ragnar Joakimsen, Louise Pape-Haugaard, Eirik Årsand
    JMIR mHealth and uHealth.2020; 8(4): e16814.     CrossRef
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Hemoglobin A1c May Be an Inadequate Diagnostic Tool for Diabetes Mellitus in Anemic Subjects
Jung Il Son, Sang Youl Rhee, Jeong-taek Woo, Jin Kyung Hwang, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Sung Woon Kim, Young Seol Kim
Diabetes Metab J. 2013;37(5):343-348.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.343
  • 7,130 View
  • 86 Download
  • 36 Crossref
AbstractAbstract PDFPubReader   
Background

Recently, a hemoglobin A1c (HbA1c) level of 6.5% has been determined to be a criterion for diabetes mellitus (DM), and it is a widely used marker for the diagnosis of DM. However, HbA1c may be influenced by a number of factors. Anemia is one of the most prevalent diseases with an influence on HbA1c; however, its effect on HbA1c varies based on the variable pathophysiology of anemia. The aim of this study was to determine the effect of anemia on HbA1c levels.

Methods

Anemic subjects (n=112) and age- and sex-matched controls (n=217) who were drug naive and suspected of having DM were enrolled. The subjects underwent an oral glucose tolerance test and HbA1c simultaneously. We compared mean HbA1c and its sensitivity and specificity for diagnosing DM between each subgroup.

Results

Clinical characteristics were found to be similar between each subgroup. Also, when glucose levels were within the normal range, the difference in mean HbA1c was not significant (P=0.580). However, when plasma glucose levels were above the diagnostic cutoff for prediabetes and DM, the mean HbA1c of the anemic subgroup was modestly higher than in the nonanemic group. The specificity of HbA1c for diagnosis of DM was significantly lower in the anemic subgroup (P<0.05).

Conclusion

These results suggest that the diagnostic significance of HbA1c might be limited in anemic patients.

Citations

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Risk Factors for the Progression of Intima-Media Thickness of Carotid Arteries: A 2-Year Follow-Up Study in Patients with Newly Diagnosed Type 2 Diabetes
Sang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, Suk Chon, You-Cheol Hwang, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Ja-Heon Kang, In-Kyung Jeong
Diabetes Metab J. 2013;37(5):365-374.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.365
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Intima-media thickness (IMT) of the carotid arteries is known to have a positive correlation with the risk of cardiovascular disease. This study was designed to identify risk factors affecting the progression of carotid IMT in patients with type 2 diabetes mellitus (T2DM).

Methods

Patients with newly diagnosed T2DM with carotid IMT measurements were enrolled, and their clinical data and carotid IMT results at baseline and 2 years later were compared.

Results

Of the 171 patients, 67.2% of males and 50.8% of females had abnormal baseline IMT of the left common carotid artery. At baseline, systolic blood pressure, body mass index and smoking in male participants, and fasting plasma glucose and glycated hemoglobin levels in females were significantly higher in patients with abnormal IMT than in those with normal IMT. Low density lipoprotein cholesterol (LDL-C) levels in males and high density lipoprotein cholesterol (HDL-C) levels in females at the 2-year follow-up were significantly different between the nonprogression and the progression groups. Reduction of the United Kingdom Prospective Diabetes Study (UKPDS) 10-year coronary heart disease (CHD) risk score after 2 years was generally higher in the nonprogression group than the progression group.

Conclusion

LDL-C levels in males and HDL-C levels in females at the 2-year follow-up were significantly different between participants with and without progression of carotid IMT. Furthermore, a reduction in the UKPDS 10-year CHD risk score appeared to delay the advancement of atherosclerosis. Therefore, the importance of establishing the therapeutic goal of lipid profiles should be emphasized to prevent the progression of carotid IMT in newly diagnosed T2DM patients.

Citations

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