Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis
Autor: | Jeong Hun Seo, Han Ho Jeon, Yong Kang Lee, Haeyong Pak, Sang Yun Shin, Dong Hyun Kim |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
animal structures Intra-Abdominal Fat genetic structures Population Overweight Gastroenterology metabolic syndrome Body Mass Index 03 medical and health sciences 0302 clinical medicine Risk Factors Internal medicine medicine Humans Obesity education education.field_of_study electric impedance business.industry Odds ratio medicine.disease intra-abdominal fat Medicine Original Article 030211 gastroenterology & hepatology medicine.symptom Metabolic syndrome business Body mass index Bioelectrical impedance analysis |
Zdroj: | The Korean Journal of Internal Medicine, Vol 36, Iss 1, Pp 97-105 (2021) The Korean Journal of Internal Medicine |
ISSN: | 2005-6648 1226-3303 |
Popis: | 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 as sessed. Participants were stratified by body mass index (BMI) and VFA. We evalu ated 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 ㎠) subgroup in each BMI group. Ad justed logistic regression analyses revealed that the odds ratio for metabolic syn drome 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. |
Databáze: | OpenAIRE |
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