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Review Article
Obesity and Metabolism
Metabolically Healthy and Unhealthy Normal Weight and Obesity
Norbert Stefan
Endocrinol Metab. 2020;35(3):487-493.   Published online August 20, 2020
DOI: https://doi.org/10.3803/EnM.2020.301
  • 9,149 View
  • 439 Download
  • 31 Web of Science
  • 32 Crossref
AbstractAbstract PDFPubReader   ePub   
Increased fat mass is an established risk factor for the cardiometabolic diseases type 2 diabetes and cardiovascular disease (CVD) and is associated with increased risk of all-cause and CVD mortality. However, also very low fat mass associates with such an increased risk. Whether impaired metabolic health, characterized by hypertension, dyslipidemia, hyperglycemia, insulin resistance, and subclinical inflammation, may explain part of the elevated risk of cardiometabolic diseases that is found in many subjects with very low fat mass, as it does in many obese subjects, is unknown. An important pathomechanism of impaired metabolic health is disproportionate fat distribution. In this article the risk of cardiometabolic diseases and mortality in subjects with metabolically healthy and unhealthy normal weight and obesity is summarized. Furthermore, the change of metabolic health during a longer period of follow-up and its impact on cardiometabolic diseases is being discussed. Finally, the implementation of the concept of metabolic health in daily clinical practice is being highlighted.

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Original Article
Prevalence and Characteristics of Metabolically Obese but Normal Weight and Metabolically Healthy but Obese in Middle-aged Koreans: the Chungju Metabolic Disease Cohort (CMC) Study.
Seung Hwan Lee, Hee Sung Ha, Young Jun Park, Jin Hee Lee, Hyeon Woo Yim, Kun Ho Yoon, Moo Il Kang, Won Chul Lee, Ho Young Son, Yong Moon Park, Hyuk Sang Kwon
Endocrinol Metab. 2011;26(2):133-141.   Published online June 1, 2011
DOI: https://doi.org/10.3803/EnM.2011.26.2.133
  • 2,386 View
  • 35 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
We attempted to determine the prevalence and characteristics of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) individuals in a large cohort of middle-aged Koreans. METHODS: 8,987 non-diabetic subjects were selected from the Chungju Metabolic disease Cohort Study performed in 2003-2006. MONW was defined as a body mass index (BMI) > or = 18.5 and < 23 kg/m2 with a homeostasis model assessment of insulin resistance (HOMA-IR) in the highest quartile. MHO was defined as BMI > or = 25 kg/m2 with HOMA-IR in the lowest quartile. RESULTS: The mean age of the subjects was 62.3 +/- 10.5 years (men 40.4%). The age-adjusted prevalence of MONW and MHO were 4.3% (5.3% men, 3.7% women) and 5.6% (3.6% men, 7.0% women), respectively. 14.2% of men and 12.9% of women were classified as MONW among the normal weight population, whereas 10.7% of men and 14.5% of women were classified as MHO among the obese subjects. The prevalence of prediabetes was significantly higher in the MONW group than in the MHO group (34.7 vs. 12.5%, P < 0.0001 in men; 23.1 vs. 8.8%, P < 0.0001 in women). The MONW group evidenced an equivalent risk of coronary heart disease (CHD) relative to the MHO group (10.77 +/- 0.68 vs. 10.22 +/- 0.90% in men; 7.02 +/- 0.34 vs. 7.26 +/- 0.26% in women, means +/- standard error [SE]). CONCLUSION: The subjects in the MONW group are characterized by a high risk of diabetes and CHD, despite their normal weights. Their substantial prevalence in the population emphasizes the importance of identifying subjects in the MONW group, and warrants more intensive risk management.

Citations

Citations to this article as recorded by  
  • Obesity, metabolic health, and mortality in adults: a nationwide population-based study in Korea
    Hae Kyung Yang, Kyungdo Han, Hyuk-Sang Kwon, Yong-Moon Park, Jae-Hyoung Cho, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Seung-Hwan Lee
    Scientific Reports.2016;[Epub]     CrossRef
  • The Definition of Metabolically Healthy Obesity
    Hae Kyung Yang, Seung-Hwan Lee
    The Journal of Korean Diabetes.2014; 15(1): 17.     CrossRef
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