Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis
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Background/Aims: To investigate whether visceral fat area (VFA) measured by bioelectric impedance analysis (BIA) was associated with metabolic syndrome in subjects with and without obesity. Methods: A total 23,202 participants who underwent medical check-ups were assessed. Participants were stratified by body mass index (BMI) and VFA. We evaluated six different groups for metabolic syndrome: Group 1 (normal weight and low VFA), Group 2 (normal weight and high VFA), Group 3 (overweight and low VFA), Group 4 (overweight and high VFA), Group 5 (obesity and low VFA), and Group 6 (obesity and high VFA). Results: Metabolic syndrome traits and metabolic syndrome were significantly more prevalent in the high-VFA (≥ 100 cm2) subgroup in each BMI group. Adjusted logistic regression analyses revealed that the odds ratio for metabolic syndrome compared with Group 1 was the highest in Group 6 (24.53; 95% confidence interval [CI], 21.77 to 27.64). Notably, the odds ratio of Group 2 was higher than that of Group 3 (2.92; 95% CI, 2.30 to 3.69 vs. 2.57; 95% CI, 2.23 to 2.97). Conclusions: Our study demonstrates that the combination of BMI assessment and VFA determination by BIA may be a useful method for predicting the risk of metabolic syndrome. The VFA by BIA may be a useful target for interventions to improve metabolic syndrome.
Abstract
Background/Aims: To investigate whether visceral fat area (VFA) measured by bioelectric impedance analysis (BIA) was associated with metabolic syndrome in subjects with and without obesity. Methods: A total 23,202 participants who underwent medical check-ups were assessed. Participants were stratified by body mass index (BMI) and VFA. We evaluated six different groups for metabolic syndrome: Group 1 (normal weight and low VFA), Group 2 (normal weight and high VFA), Group 3 (overweight and low VFA), Group 4 (overweight and high VFA), Group 5 (obesity and low VFA), and Group 6 (obesity and high VFA). Results: Metabolic syndrome traits and metabolic syndrome were significantly more prevalent in the high-VFA (≥ 100 cm2) subgroup in each BMI group. Adjusted logistic regression analyses revealed that the odds ratio for metabolic syndrome compared with Group 1 was the highest in Group 6 (24.53; 95% confidence interval [CI], 21.77 to 27.64). Notably, the odds ratio of Group 2 was higher than that of Group 3 (2.92; 95% CI, 2.30 to 3.69 vs. 2.57; 95% CI, 2.23 to 2.97). Conclusions: Our study demonstrates that the combination of BMI assessment and VFA determination by BIA may be a useful method for predicting the risk of metabolic syndrome. The VFA by BIA may be a useful target for interventions to improve metabolic syndrome.
참고문헌 (29)
- Finucane MM, "National, regional, and global trends in body-mass index since 1980 : systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1million participants", Lancet, 377, pp.557~567 (2011)
- Bauer UE, "Prevention of chronic disease in the 21st century : elimination of the leading preventable causes of premature death and disability in the USA", Lancet, 384, pp.45~52 (2014)
- Schienkiewitz A, "Comorbidity of overweight and obesity in a nationally representative sample of German adults aged 18-79 years", BMC Public Health, 12, pp.658~ (2012)
- Calle EE, "Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U. S. adults", N Engl J Med, 348, pp.1625~1638 (2003)
- Matsuzawa Y, "The concept of metabolic syndrome : contribution of visceral fat accumulation and its molecular mechanism", J Atheroscler Thromb, 18, pp.629~639 (2011)
- Fox CS, "Abdominal visceral and subcutaneous adipose tissue compartments : association with metabolic risk factors in the Framingham Heart Study", Circulation, 116, pp.39~48 (2007)
- Albu JB, "Fat distribution and health in obesity", Ann N Y Acad Sci, 904, pp.491~501 (2000)
- Gallagher D, "How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups?", Am J Epidemiol, 143, pp.228~239 (1996)
- Carr DB, "Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome", Diabetes, 53, pp.2087~2094 (2004)
- Dhaliwal SS, "Measurement error and ethnic comparisons of measures of abdominal obesity", Prev Med, 49, pp.148~152 (2009)
- Ranasinghe C, "Relationship between body mass index(BMI)and body fat percentage, estimated by bioelectrical impedance, in a group of Sri Lankan adults : a cross sectional study", BMC Public Health, 13, pp.797~ (2013)
- Unno M, "The utility of visceral fat level by bioelectrical impedance analysis in the screening of metabolic syndrome : the results of the Kyushu and Okinawa Population Study(KOPS)", J Atheroscler Thromb, 19, pp.462~470 (2012)
- Kushner RF, "Clinical characteristics influencing bioelectrical impedance analysis measurements", Am J Clin Nutr, 64, pp.423S~427S (1996)
- WHO Expert Consultation, "Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies", Lancet, 363, pp.157~163 (2004)
- Examination Committee of Criteria for ‘Obesity Disease’in Japan, "New criteria for ‘obesity disease’ in Japan", Circ J, 66, pp.987~992 (2002)
- Lewin A, "Residential neighborhood, geographic work environment, and work economic sector : associations with body fat measured by bioelectrical impedance in the RECORD Study", Ann Epidemiol, 24, pp.180~186 (2014)
- Sakamaki K, "Impact of the visceral fat area measured by dual impedance method on the diagnostic components of metabolic diseases in a middle-aged Japanese population", Intern Med, 55, pp.1691~1696 (2016)
- Koh H, "Visceral adiposity, not abdominal subcutaneous fat area, is associated with high blood pressure in Japanese men : the Ohtori study", Hypertens Res, 34, pp.565~572 (2011)
- Kang DH, "Uric acid-induced C-reactive protein expression : implication on cell proliferation and nitric oxide production of human vascular cells", J Am Soc Nephrol, 16, pp.3553~3562 (2005)
- Nakagawa T, "Hyperuricemia causes glomerular hypertrophy in the rat", Am J Nephrol, 23, pp.2~7 (2003)
- Hakoda M, "Serum uric acid concentration as a risk factor for cardiovascular mortality : a longterm cohort study of atomic bomb survivors", J Rheumatol, 32, pp.906~912 (2005)
- Tatsumi Y, "Risk for metabolic diseases in normal weight individuals with visceral fat accumulation : a cross-sectional study in Japan", BMJ Open, 7, pp.e013831~ (2017)
- Despres JP, "Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease", Arteriosclerosis, 10, pp.497~511 (1990)
- Shah RV, "Visceral adiposity and the risk of metabolic syndrome across body mass index : the MESA Study", JACC Cardiovasc Imaging, 7, pp.1221~1235 (2014)
- Kishida K, "Adiponectin as a routine clinical biomarker", Best Pract Res Clin Endocrinol Metab, 28, pp.119~130 (2014)
- Weyer C, "Hypoadiponectinemia in obesity and type 2 diabetes : close association with insulin resistance and hyperinsulinemia", J Clin Endocrinol Metab, 86, pp.1930~1935 (2001)
- Santaniemi M, "Low plasma adiponectin concentration is an indicator of the metabolic syndrome", Eur J Endocrinol, 155, pp.745~750 (2006)
- Kishida K, "Relationships between circulating adiponectin levels and fat distribution in obese subjects", J Atheroscler Thromb, 18, pp.592~595 (2011)
- Ogawa H, "InBody 720 as a new method of evaluating visceral obesity", Hepatogastroenterology, 58, pp.42~44 (2011)