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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2019
|
| Subjects: | |
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|