Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/75172
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dc.contributor.authorDuanghathai Pasantaen_US
dc.contributor.authorKhin Thandar Htunen_US
dc.contributor.authorJie Panen_US
dc.contributor.authorMontree Tungjaien_US
dc.contributor.authorSiriprapa Kaewjaengen_US
dc.contributor.authorSirirat Chancharuneeen_US
dc.contributor.authorSingkome Timaen_US
dc.contributor.authorHongjoo Kimen_US
dc.contributor.authorJakrapong Kæwkhaoen_US
dc.contributor.authorSuchart Kothanen_US
dc.date.accessioned2022-10-16T06:57:16Z-
dc.date.available2022-10-16T06:57:16Z-
dc.date.issued2021-07-01en_US
dc.identifier.issn20751729en_US
dc.identifier.other2-s2.0-85110176132en_US
dc.identifier.other10.3390/life11070643en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85110176132&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/75172-
dc.description.abstractYoung adulthood is increasingly considered as a vulnerable age group for significant weight gain, and it is apparent that there is an increasing number of new cases of metabolic syndrome developing among this population. This study included 60 young adult volunteers (18–26 years old). All participants obtained a calculated total abdominal fat percentage, subcutaneous fat percentage, and visceral fat percentage using a semiautomatic segmentation technique from T1-weighted magnetic resonance imaging (MRI) images of the abdomen. The results show strongest correlation between abdominal fat and BMI (r = 0.824) followed by subcutaneous fat (r = 0.768), and visceral fat (r = 0.633) respectively, (p < 0.001 for all, after having been adjusted for age and gender). Among anthropometric measurements, waist circumference showed strong correlation with all fat compartments (r = 0.737 for abdominal, r = 0.707 for subcutaneous fat, and r = 0.512 for visceral fat; p < 0.001 for all). The results obtained from examining the blood revealed that there was a moderate positive correlation relationship between all fat compartments with triglyceride, high-density lipoprotein, and fasting glucose levels (p < 0.05 for all). This study suggests that both BMI and waist circumference could be used to assess the fat compartments and treatment targets to reduce the risk of metabolic disorders and health risks in the young adult population.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectEarth and Planetary Sciencesen_US
dc.titleWaist circumference and bmi are strongly correlated with mri-derived fat compartments in young adultsen_US
dc.typeJournalen_US
article.title.sourcetitleLifeen_US
article.volume11en_US
article.stream.affiliationsNakhon Pathom Rajabhat Universityen_US
article.stream.affiliationsKyungpook National Universityen_US
article.stream.affiliationsShandong Normal Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
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