Author(s): Remal Abdulaziz Asaad


DOI: 10.52711/0974-360X.2023.00719   

Address: Remal Abdulaziz Asaad
Biochemistry and Microbiology Department, Faculty of Pharmacy, Tishreen University, Lattakia, Syria.
*Corresponding Author

Published In:   Volume - 16,      Issue - 9,     Year - 2023

Notable incidence of obesity and dysfunction of adiposity tissue is strongly presented in type 2 diabetes mellitus (T2DM) worldwide. Relative Fat Mass (RFM) is anew, simple and inexpensive marker of whole body fat that predicts diabetes, dyslipidemia and dysglycemia as cardio-metabolic disorders. The current study aimed to evaluate the clinical applications of RFM as an obesity marker to predict the diabetes and to evaluate metabolic disorders associated with development of T2DM. The study was conducted on 118 adult patients with T2DMand on 51 healthy individuals seen at Tishreen University Hospital (TUH) and Diabetes Center of Lattakia city- Syria. Results confirm that RFM is higher in females than males with ratio of 1.5. Strong significant association of RFM withelevated levels of lipid profile-parameters, glycated-hemoglobin (HbA1c)> 8% and eGFR between 30-44ml/min/1.73m2 is seen as uncontrolled T2DM patients (P-value<0.05). RFM can predict diabetes with cutoff value of 33.60 (AUC: 0.77, sensitivity of 72% and Specificity of 100%) in comparison with healthy control, and with cutoff value of 40 with (AUC:0.92, sensitivity of 85% and Specificity of 93%) in females in comparison with males. In conclusion, this study has demonstrated that RFM is a whole body fat marker which significantly associated with obesity, gender and cardio-metabolic disorders in T2DM.

Cite this article:
Remal Abdulaziz Asaad. Relative Fat Mass (RFM) Evaluates the Whole Body Fat (WBF) and predicts Cardio-metabolic Disorders as a new obesity marker in Syrian-population. Research Journal of Pharmacy and Technology 2023; 16(9):4399-5. doi: 10.52711/0974-360X.2023.00719

Remal Abdulaziz Asaad. Relative Fat Mass (RFM) Evaluates the Whole Body Fat (WBF) and predicts Cardio-metabolic Disorders as a new obesity marker in Syrian-population. Research Journal of Pharmacy and Technology 2023; 16(9):4399-5. doi: 10.52711/0974-360X.2023.00719   Available on:

1.    LIU, P.; MA,F.; LOU, H.; CHEN, Y. Visceral adiposity index is associated with prediabetes and type 2 diabetes mellitus in Chinese adults aged 20-50, Ann NutrMetab. 2016, 68, 243-253.2. Seidell JC, Halberstadt J. The global burden of obesity and the challenges of prevention. Ann Nutr Metab. 2015; 66(Suppl 2):7–12.
2.    Hameed, E. K.; Abdulqahar, Z.H. Visceral adiposity index in female with type 2 diabetic mellitus and its association with the glycemic control, Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019; 13: 1241-1244.
3.    taian,T.; Pei, H.; Chen, Z.; Hailili, G.; Wang,S.; Sun, Y.; Yao, H.; JIANGHONG, D. Comparison of lipid accumulation product and body mass index as indicators of diabetes diagnosis among 215,651 Chinese adults, Peer J. 2020; 8: e8483. DOI 10.7717/peerj.8483.
4.    ASAAD,R. Evaluation of adiposity phenotypes: Lipid Accumulation Product Index, Visceral Adiposity Index and Body Roundness Index as predictor markers for metabolic syndrome development in type 2 diabetes mellitus. Bull. Pharm. Sci., Assiut University, l2022,45,(2).
5.    ASAAD, R. Association of Visceral Adiposity Index (VAI) with Glycemic control in Metabolic Syndrome (MetS). Tishreen University Journal-Medical Sciences Series. 2022; 44 (5).
6.    Lam BC, Koh GC, Chen C, Wong MT, Fallows SJ. Comparison of body mass index (BMI), body adiposity index (BAI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (whtr) as predictors of cardiovascular disease risk factors in an adult population in Singapore. Plos One. 2015; 10:e0122985.
7.    Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage — A cross-sectional study in american adult individuals. Sci Rep. 2018; 8: 10980.
8.    Fedewa MV, Russell AR, Nickerson BS, Fedewa MP, Myrick JW, Esco MR. Relative accuracy of body adiposity index and relative fat mass in participants with and without Down syndrome. Eur J Clin Nutr 2018 [Epub ahead of print].
9.    Andreasson A, Carlsson AC, nnerhag K, Hagstrِm H. Predictive capacity for mortality and severe liver disease of the relative fat mass algorithm. Clin Gastroenterol Hepatol. 2018. S1542-3565(18) 31269-2.
10.    Hassan, N., et al., Association between Serum liver Enzymes and Metabolic Syndrome among Type 2 Diabetes mellitus patients. Research Journal of Pharmacy and Technology. 2021; 14(2):1050-1054. doi: 10.5958/0974-360X.2021.00188.8
11.    Ibrahim, N.A., et al., Metabolic Syndrome associated Risk factors: Findings among female undergraduate university students. Research Journal of Pharmacy and Technology. 2020; 13(12): p. 6093-6097. DOI: 10.5958/0974-360X.2020.01062.8
12.    Wang ZJ, Zhou YJ, Galper BZ, et al. Association of body mass index with mortality and cardiovascular events for patients with coronary artery disease: a systematic review and meta-analysis. Heart. 2015;101:1631–8.
13.    Kalaivanan, S., et al., Clinical Assessment and Comparison of Lipid Profiles among Coronary Artery Disease and type 2 Diabetes Mellitus Patients receiving Statin Therapy. Research Journal of Pharmacy and Technology. 2017; 10(1): 18-20. DOI : 10.5958/0974-360X.2017.00005.1
14.    Zhang, F., et al., The association of triglyceride and glucose index, and triglyceride to high‐density lipoprotein cholesterol ratio with prehypertension and hypertension in normoglycemic subjects: A large cross‐sectional population study. The Journal of Clinical Hypertension. 2021; 23(7): 1405-1412.
15.    Dasgupta, R., et al., Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: Observations from hyperinsulinemic-euglycemic clamp studies. BMJ Open Diabetes Research and Care. 2021; 9(1): e002414.
16.    Ryan DH, Kahan S. Guideline recommendations for obesity management. Med Clin North Am. 2018; 102: 49–63.
17.    Nishad, S., et al., A Study of Anthropometric and Psychological Discriminating Factors of Hypertension. Research Journal of Pharmacy and Technology. 2019; 12(6): 2995-2998. doi: 10.5958/0974-360X.2019.00506.7
18.    Kwon, M.-J. and S.-Y. Ahn, Factors affecting blood pressure control in elderly Koreans with hypertension. Research Journal of Pharmacy and Technology. 2018; 11(4): 1398-1403. DOI : 10.5958/0974-360X.2018.00261.5
19.    Hemalatha, S., S. Shaheedha, and R. Borra, Assessment of Prevalence of Hypertension in pregnant women with its Complications: A Cross Sectional Study. Research Journal of Pharmacy and Technology. 2021; 14(7): 3805-3808. DOI:10.52711/0974-360X.2021.00659
20.    Chowdary, R.P., D. Praveen, and V.M. Aanandhi, A prospective study on incidence of dyslipidemia in diabetes mellitus. Research Journal of Pharmacy and Technology. 2017; 10(2): 431-433. DOI:10.5958/0974-360X.2017.00086.5
21.    Haidari, F., et al., The Relationship between Metabolic Factors and Quality of Life Aspects in Type 2 Diabetes Patients. Research Journal of Pharmacy and Technology. 2017; 10(5): 1491-1496. doi: 10.5958/0974-360X.2017.00263.3
22.    ASAAD, R.; KHAIAT, M.; BARAKAT, K. Evaluation of plasma Magnesium Levels and its Correlation with Glycemic Control in Type 2 Diabetes Mellitus Patient, Tishreen University Journal-Medical Sciences Series. 2018; 39(2).
23.    AL-MERI, M.; HAMDAN, R.; SAABOUH, A. the relationship between serum magnesium and type 2 diabetes mellitus, Tishreen University Journal-Medical Sciences Series. 2021; 43(4).
24.    Power, M.L. and J. Schulkin, Sex differences in fat storage, fat metabolism, and the health risks from obesity: possibleevolutionary origins. British Journal of Nutrition. 2008; 99(5): 931-940.
25.    Rao, U.M., et al., Assessment of Malaysian University undergraduate's knowledge and awareness on metabolic syndrome and conditions related to it. Research Journal of Pharmacy and Technology. 2021; 14(4): 1893-1898. doi:10.52711/0974-360X.2021.00334.
26.    Ambad, R., et al., Association of leptin in diabetes mellitus and obesity. Research Journal of Pharmacy and Technology. 2020; 13(12): 6295-6299. doi: 10.5958/0974-360X.2020.01095.1

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