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Ji-Hye Park  (Park JH) 2 Articles
Low Levels of Physical Activity Are Associated with Increased Metabolic Syndrome Risk Factors in Korean Adults
Dong Hoon Lee, Yoon Myung Kim, Yoonsuk Jekal, Sukyung Park, Kyong-Chol Kim, Masayo Naruse, Sun Hyun Kim, Sang-Hwan Kim, Ji-Hye Park, Mi Kyung Lee, Sang Hui Chu, Justin Y. Jeon
Diabetes Metab J. 2013;37(2):132-139.   Published online April 16, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.2.132
  • 4,490 View
  • 31 Download
  • 22 Crossref
AbstractAbstract PDFPubReader   
Background

Low levels of physical activity (PA) are strongly associated with the development of metabolic syndrome (MetS) and chronic diseases. However, few studies have examined this association in Koreans. The primary purpose of this study was to examine the associations between PA and MetS risks in Korean adults.

Methods

A total of 1,016 Korean adults (494 males and 522 females) participated in this study. PA levels were assessed using the International PA Questionnaire. MetS risk factors were determined using clinically established diagnostic criteria.

Results

Compared with the highest PA group, the group with the lowest level of PA was at greater risk of high triglyceride (TG) in males (odds ratio [OR], 1.87; 95% confidence interval [CI], 1.07 to 3.24) and of hemoglobin A1c ≥5.5% in females (OR, 1.75; 95% CI, 1.00 to 3.04) after adjusting for age and body mass index. Compared with subjects who met the PA guidelines, those who did not meet the guidelines were more likely to have low high density lipoprotein cholesterol in both males (OR, 1.69; 95% CI, 1.11 to 2.58), and females (OR, 1.82; 95% CI, 1.20 to 2.77). Furthermore, those who did not meet the PA guidelines were at increased risk of high TG levels in males (OR, 1.69; 95% CI, 1.23 to 2.86) and abnormal fasting glucose (OR, 1.93; 95% CI, 1.17 to 3.20) and MetS (OR, 2.10; 95% CI, 1.15 to 3.84) in females.

Conclusion

Increased levels of PA are significantly associated with a decreased risk of abnormal MetS components.

Citations

Citations to this article as recorded by  
  • Effects of a Physical Exercise Programme through Service-Learning Methodology on Physical Activity, Physical Fitness and Perception of Physical Fitness and Health in University Students from Spain: A Preliminary Study
    Antonio Jesús Casimiro-Andújar, Eva Artés-Rodríguez, David M. Díez-Fernández, María-Jesús Lirola
    International Journal of Environmental Research and Public Health.2023; 20(4): 3377.     CrossRef
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    JMIR mHealth and uHealth.2022; 10(2): e34059.     CrossRef
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    Clinical and Experimental Health Sciences.2022; 12(4): 793.     CrossRef
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    BMJ Open.2018; 8(4): e021496.     CrossRef
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    Clinical Nutrition.2017; 36(5): 1301.     CrossRef
  • The association between metabolic health, obesity phenotype and the risk of breast cancer
    Yong‐Moon Mark Park, Alexandra J. White, Hazel B. Nichols, Katie M. O'Brien, Clarice R. Weinberg, Dale P. Sandler
    International Journal of Cancer.2017; 140(12): 2657.     CrossRef
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    International Journal of Obesity.2016; 40(10): 1541.     CrossRef
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    Yong-Moon Mark Park, Teresa T. Fung, Susan E. Steck, Jiajia Zhang, Linda J. Hazlett, Kyungdo Han, Seung-Hwan Lee, Anwar T. Merchant
    Mayo Clinic Proceedings.2016; 91(10): 1372.     CrossRef
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  • Metabolic Syndrome and Chronic Laryngitis
    Choung-Soo Kim, Seong-Soo Lee, Kyung-do Han, Young-Hoon Joo
    Medicine.2015; 94(43): e1890.     CrossRef
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    Junxiu Liu, Yong-Moon Mark Park, Seth A. Berkowitz, Qingwei Hu, Kyungdo Han, Andrew Ortaglia, Robert E. McKeown, Angela D. Liese
    Annals of Epidemiology.2015; 25(9): 643.     CrossRef
  • Implication of Circulating Irisin Levels with Brown Adipose Tissue and Sarcopenia in Humans
    Hae Yoon Choi, Sungeun Kim, Ji Woo Park, Nam Seok Lee, Soon Young Hwang, Joo Young Huh, Ho Cheol Hong, Hye Jin Yoo, Sei Hyun Baik, Byung-Soo Youn, Christos S. Mantzoros, Kyung Mook Choi
    The Journal of Clinical Endocrinology & Metabolism.2014; 99(8): 2778.     CrossRef
  • Relationship between Physical Activity Level, Amount of Alcohol Consumption and Metabolic Syndrome in Korean Male Drinkers
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    The Korean Journal of Sports Medicine.2014; 32(2): 97.     CrossRef
  • Association between cardiorespiratory fitness and the prevalence of metabolic syndrome among Korean adults: a cross sectional study
    Sunghyun Hong, Junga Lee, Jihye Park, Mikyung Lee, Ji Young Kim, Kyong-Chol Kim, Sun Hyun Kim, Jee Aee Im, Sang Hui Chu, Sang Hoon Suh, Sang Hwan Kim, Justin Y Jeon
    BMC Public Health.2014;[Epub]     CrossRef
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    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2014; 19(2): 225.     CrossRef
  • Gender Difference in the Association of Metabolic Syndrome and Its Components with Age-Related Cataract: The Korea National Health and Nutrition Examination Survey 2008-2010
    Young-Hoon Park, Jeong Ah Shin, Kyungdo Han, Hyeon Woo Yim, Won-Chul Lee, Yong-Moon Park, Yingfeng Zheng
    PLoS ONE.2014; 9(1): e85068.     CrossRef
  • Prevalence of Metabolic Syndrome and Its Relationship with Physical Activity in Suburban Beijing, China
    Wei-Hong Zhang, Peng Xue, Meng-Ying Yao, Hai-Min Chang, Yan Wu, Lei Zhang
    Annals of Nutrition and Metabolism.2013; 63(4): 298.     CrossRef
Associations between Fatness, Fitness, IGF and IMT among Obese Korean Male Adolescents
Eun Sung Kim, Ji-Hye Park, Mi Kyung Lee, Dong Hoon Lee, Eun Seok Kang, Hyun Chul Lee, Yoonsuk Jekal, Justin Y. Jeon
Diabetes Metab J. 2011;35(6):610-618.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.610
  • 39,905 View
  • 43 Download
  • 15 Crossref
AbstractAbstract PDFPubReader   
Background

The purpose of this study was to investigate the association between obesity, fitness levels and cardiovascular (CVD) risk factors, and to identify the correlation between of insulin-like growth factor (IGF)-1, IGF binding protein-3 (IGFBP-3), and carotid intima media thickness (IMT) in Korean adolescents.

Methods

A total of 225 high school males with a mean age of 16.96±0.23 years participated in this study, and their fatness and fitness levels, fasting glucose, fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), blood lipids, IGF-1, IGFBP-3, and IMT were measured.

Results

The results showed that total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), fasting insulin, HOMA-IR, IGF-1, and IGFBP-3 levels were significantly higher in the most obese group than in the other two groups (tertiles). Muscular and cardiopulmonary fitness were negatively associated with weight, body mass index (BMI), fat mass, body fat, waist circumference (WC), fasting insulin, HOMA-IR, and IMT. IGF-1 and IGFBP-3 levels were correlated with WC, hip circumference (HC), fasting glucose, TG, HDL-C, fasting insulin, and HOMA-IR. IMT levels were significantly associated with weight, BMI, muscle mass, fat mass, percent body fat, WC, HC, systolic blood pressure, diastolic blood pressure and high-sensitivity C-reactive protein.

Conclusion

There was a significant association between increased obesity and decreased fitness and HOMA-IR, IGF, and IMT among adolescents.

Citations

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