Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김동선 | - |
dc.date.accessioned | 2020-06-03T05:01:39Z | - |
dc.date.available | 2020-06-03T05:01:39Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v. 9, article no. 9292 | en_US |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://www.nature.com/articles/s41598-019-45717-8 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/151424 | - |
dc.description.abstract | Body mass index (BMI) has limited accuracy for predicting cardiovascular diseases (CVD) and is not capable of identifying sarcopenic obesity, the combination of sarcopenia (an age-associated decline in muscle mass and physical function) and obesity. To overcome this, the z-score of the log-transformed A Body Shape Index (LBSIZ) was recently introduced as a measure of obesity using waist circumference, height, and weight. We aimed to investigate the association of LBSIZ with sarcopenic obesity and CVD, and propose appropriate cut-off values using the National Health and Nutrition Examination Survey 1999-2016 data. Of 92,062 participants, 40,468 adults (>= 20 years) were included. Overall area under curve (AUC) of LBSIZ was 0.735 (95% confidence interval [CI]: 0.716-0.754) for sarcopenic obesity, and 0.695 (95% CI: 0.687-0.703) for CVD. The subgroup analysis of ethnicity/race showed similar results. Waist circumference (WC), BMI, conicity index, body roundness index (BRI), Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), new BMI, and waist to height ratio (WHtR) showed a negative association with sarcopenic obesity, while LBSIZ and conicity index showed a positive association. The AUC of LBSIZ was significantly higher for sarcopenic obesity than that of conicity index (p < 0.001). The AUC of LBSIZ was significantly higher for CVD than those of parameters including WC, BMI, BRI, CUN-BAE, new BMI, and WHtR (p < 0.001). The AUC for conicity index alone was comparable to that of LBSIZ for CVD. Overall LBSIZ cut-off was 0.35 for both sarcopenic obesity (sensitivity, 65.3%; specificity, 71.5%) and CVD (sensitivity, 63.3%; specificity, 66.6%). These results may be useful not only to identify sarcopenic obesity, but also to conduct CVD risk assessment in the clinical setting. | en_US |
dc.language.iso | en | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.subject | MASS INDEX | en_US |
dc.subject | VISCERAL ADIPOSITY | en_US |
dc.subject | METABOLIC SYNDROME | en_US |
dc.subject | MORTALITY | en_US |
dc.subject | FAT | en_US |
dc.subject | ASSOCIATION | en_US |
dc.subject | MANAGEMENT | en_US |
dc.subject | ACCURACY | en_US |
dc.subject | HEALTH | en_US |
dc.title | Utility of the Z-score of log-transformed A Body Shape Index (LBSIZ) in the assessment for sarcopenic obesity and cardiovascular disease risk in the United States | en_US |
dc.type | Article | en_US |
dc.relation.volume | 9 | - |
dc.identifier.doi | 10.1038/s41598-019-45717-8 | - |
dc.relation.page | 9292-9292 | - |
dc.relation.journal | SCIENTIFIC REPORTS | - |
dc.contributor.googleauthor | Chung, Wankyo | - |
dc.contributor.googleauthor | Park, Jung Hwan | - |
dc.contributor.googleauthor | Chung, Hye Soo | - |
dc.contributor.googleauthor | Yu, Jae Myung | - |
dc.contributor.googleauthor | Kim, Dong Sun | - |
dc.contributor.googleauthor | Moon, Shinje | - |
dc.relation.code | 2019002548 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | dongsun | - |
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