Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students

This study aimed to address the literature gap on the interactive effect of fat mass (FM) and lean body mass (LBM) by developing a cut-off value for fat versus lean mass ratio (FLMR) in predicting MS; and to investigate the association between this indicator with MS and its components. Subjects c...

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Main Authors: Wee, Bee Suan, Lim, Jing Ying
Format: Conference or Workshop Item
Language:English
English
Published: 2019
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Online Access:http://eprints.unisza.edu.my/2517/1/FH03-FSK-19-32156.pdf
http://eprints.unisza.edu.my/2517/2/FH03-FSK-19-32923.pdf
http://eprints.unisza.edu.my/2517/
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spelling my-unisza-ir.25172021-01-26T07:22:52Z http://eprints.unisza.edu.my/2517/ Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students Wee, Bee Suan Lim, Jing Ying Q Science (General) RA0421 Public health. Hygiene. Preventive Medicine This study aimed to address the literature gap on the interactive effect of fat mass (FM) and lean body mass (LBM) by developing a cut-off value for fat versus lean mass ratio (FLMR) in predicting MS; and to investigate the association between this indicator with MS and its components. Subjects comprised 238 Malay adolescents (?% male, ?% female) aged 18 to 19 years old. Anthropometric comprised weight, height and wasit circumference. Body composition was measured using bioelectrical impedance analysis (BIA) techniques and blood pressure was measured. Fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoproteincholesterol (LDL-c) were determined from an overnight fasting blood sample. MS was diagnosed based on IDF (2007) definition for adolescents aged 16-year-old and above. Receiver Operating Characteristics (ROC) curve analysis revealed that the optimal cut-off value for FLMR was 0.441 with AUC of 0.874 (95% CI: 0.825, 0.913). FLMR were significantly associated with high WC (p<0.001), low HDL-c (p<0.001) and MS (p<0.05). However, there were no significant association between hypertension, hyperglycaemia and hypertriglyceridemia with FLMR. Binary Logistic Regression analysis revealed that adolescents with high WC, low HDL-c and MS, respectively had 43.4 (95% CI: 9.7,193.9), 4.7 (95% CI: 2.3,9.8) and 13.3 (95% CI: 1.5,121.2) odds of developing FLMR higher than cut-off value. In conclusion, FLMR possess good discriminatory ability in predicting MS among adolescents. Significant association exists between FLMR with MS and some of its components. Intervention programme is needed urgently to reduce the level of body adiposity among UniSZA Malay students. 2019 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/2517/1/FH03-FSK-19-32156.pdf text en http://eprints.unisza.edu.my/2517/2/FH03-FSK-19-32923.pdf Wee, Bee Suan and Lim, Jing Ying (2019) Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students. In: Malaysian Dietetic Association National Conference 2019, 23-24 June 2019, Hotel Istana, Kuala Lumpur.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic Q Science (General)
RA0421 Public health. Hygiene. Preventive Medicine
spellingShingle Q Science (General)
RA0421 Public health. Hygiene. Preventive Medicine
Wee, Bee Suan
Lim, Jing Ying
Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
description This study aimed to address the literature gap on the interactive effect of fat mass (FM) and lean body mass (LBM) by developing a cut-off value for fat versus lean mass ratio (FLMR) in predicting MS; and to investigate the association between this indicator with MS and its components. Subjects comprised 238 Malay adolescents (?% male, ?% female) aged 18 to 19 years old. Anthropometric comprised weight, height and wasit circumference. Body composition was measured using bioelectrical impedance analysis (BIA) techniques and blood pressure was measured. Fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoproteincholesterol (LDL-c) were determined from an overnight fasting blood sample. MS was diagnosed based on IDF (2007) definition for adolescents aged 16-year-old and above. Receiver Operating Characteristics (ROC) curve analysis revealed that the optimal cut-off value for FLMR was 0.441 with AUC of 0.874 (95% CI: 0.825, 0.913). FLMR were significantly associated with high WC (p<0.001), low HDL-c (p<0.001) and MS (p<0.05). However, there were no significant association between hypertension, hyperglycaemia and hypertriglyceridemia with FLMR. Binary Logistic Regression analysis revealed that adolescents with high WC, low HDL-c and MS, respectively had 43.4 (95% CI: 9.7,193.9), 4.7 (95% CI: 2.3,9.8) and 13.3 (95% CI: 1.5,121.2) odds of developing FLMR higher than cut-off value. In conclusion, FLMR possess good discriminatory ability in predicting MS among adolescents. Significant association exists between FLMR with MS and some of its components. Intervention programme is needed urgently to reduce the level of body adiposity among UniSZA Malay students.
format Conference or Workshop Item
author Wee, Bee Suan
Lim, Jing Ying
author_facet Wee, Bee Suan
Lim, Jing Ying
author_sort Wee, Bee Suan
title Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
title_short Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
title_full Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
title_fullStr Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
title_full_unstemmed Fat versus Lean Mass Ratio: A New Anthropometric Indicator in Predicting Metabolic Syndrome Among UniSZA Malay Students
title_sort fat versus lean mass ratio: a new anthropometric indicator in predicting metabolic syndrome among unisza malay students
publishDate 2019
url http://eprints.unisza.edu.my/2517/1/FH03-FSK-19-32156.pdf
http://eprints.unisza.edu.my/2517/2/FH03-FSK-19-32923.pdf
http://eprints.unisza.edu.my/2517/
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