Objectives: To clarify the relationships of fat and lean mass with the metabolic syndrome risk factors in Asian men and women. Methods: This is a cross sectional study of 530 and 1326 Singaporean men and women. The lean mass index (LMI), fat mass index (FMI) and abdominal fat index (AbFI) were computed with height adjustments as with BMI, and were categorized into four groups to evaluated for their relationships with the various metabolic syndrome risk factors. Results: Men have 35% more LMI, 57% less FMI and 30% less of AbFI than in women. Lean and fat mass have independent and gender-specific relationships with the various metabolic syndrome risk factors. Varying amounts of LMI in men have no bearing on the MetS risk factors. While in women, high LMI is associated with risk factors for metabolic health. High FMI in men is cardio-protective, while high FMI in women is associated with higher insulin resistance markers. High AbFI in both men and women is a predictor, possibly, of poorer metabolic health. BMI reflects the combined association of LMI, FMI and AbFI. Conclusions: The results clarify and reveal the clear gender differences in the relationships of LMI, FMI, AbFI and BMI with the various MetS risk factors. These news findings, together with known predicators of MetS such as age, physical exercise, male and female hormones, should form the basis to establish different and gender-specific management modalities for MetS.
| Published in | World Journal of Public Health (Volume 6, Issue 1) |
| DOI | 10.11648/j.wjph.20210601.14 |
| Page(s) | 17-24 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Fat Mass Index (FMI), Lean Mass Index (LMI), Abdominal Fat Mass Index (AbFI), Body Mass Index (BMI), Metabolic Syndrome (MetS), Metabolic Syndrome Risk Factors, Cardio-protection
| [1] | Mottillo S, Filion KB, Genest J, et al. The metabolic syndrome and cardiovascular risk: a systematic review and meta-analysis. J Am Coll Cardiol 2010; 56 (14): 1113-32. |
| [2] | Stocks T, Bjorge T, Ulmer H, et al. Metabolic risk score and cancer risk: pooled analysis of seven cohorts. Int J Epidemiol 2015; 44 (4): 1353-63. |
| [3] | Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with metabolic syndrome: a summary of the evidence. Diabetes Care 2005; 28 (7): 1769-78. |
| [4] | Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the Asia-pacific region: a systematic review. BMC Public Health 2017; 17 (1): 101 doi.org/10.1186/s12889-017-4041-1. |
| [5] | Moore JX, Chaudhary N, Akinyemiju T. Metabolic Syndrome Prevalence by Race/Ethnicity and Sex in the United States, National Health and Nutrition Examination Survey, 1988–2012. Prev Chronic Dis 2017; 14: E24. doi: 10.5888/pcd14.160287. |
| [6] | Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of The National Cholesterol Education Program (NCEP) (Adult Treatment Panel III). JAMA 2001; 285 (19): 2486-97. |
| [7] | Goh VHH. Effects of menopause, hormone replacement therapy and aging on the health in Asia women. Arch Women Health Care 2019; 2 (1): 1-11. |
| [8] | Liao C-C, Sheu WH-H, Lin S-Y, Lee W-J, Lee I-T. The relationship between abdominal body composition and metabolic syndrome after a weight reduction program in adult men with obesity. Diabetes Metab Syndr Obes 2020; 13: 1-8. doi: 10.2147/DMSO.S228954. |
| [9] | World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ. Tech. Rep. Ser. 2000; 894: 1-253. |
| [10] | Goh VHH, Tain CF, Tong TYY, Mok PP, Wong MT, Are BMI and other anthropometric measures appropriate as indices for obesity? A study in an Asian population. J. Lipid. Res. 45 (2004) 1892-8. |
| [11] | Romero-Corral A, Somers VK, Sierra-Johnson J, et al. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes. Lond. 2008; 32: 959-966. doi: 10.1038/ijo.2008.11. |
| [12] | Bonikowske AR, Lara MIB, Koepp KE, et al. Fat mass index better identifies metabolic syndrome: Insights from patients in early outpatient cardiac rehabilitation. J Clin Med 2019; 8 (12): 2147. doi: 10.3390/jcn8122147. |
| [13] | Goh VHH, Tong TYY, Mok PP, Said B, Interactions among age, adiposity, bodyweight, lifestyle factors and sex steroid hormones in healthy Singaporean Chinese men. Asian J. Androl. 9 (2007) 611-21. |
| [14] | Goh VHH, Hart WG. Association of physical exercise as a lifestyle habit with lean and fat body mass and handgrip strength and age in Asian men. Aging Male 17 (2014) 131-5. |
| [15] | Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS ONE 2009; 4: e7038. doi: 10.1371/journal.pone.0007038. |
| [16] | McLaughlin T, Abbasi F, Cheal K, Chu J, Lamendola C, Reaven G. Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern Med 2003; 139: 802-9. |
| [17] | Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28: 412-9. |
| [18] | Goh VHH. Health benefits of physical exercise as a lifestyle habit in Asian men and women. Int Arch Public Health Community Med 2018; 2: 011. |
| [19] | Karastergiou K, Smith SR, Greenberg AS, Fried SK. Sex differences in human adipose tissues – the biology of pear shape. Biol Sex Differ 2012; 3: 13 doi: 10.1186/2042-6410-3-13. |
| [20] | Savage PD, Banzer JA, Balady GJ, Ades PA. Prevalence of metabolic syndrome in cardiac rehabilitation/secondary prevention programs. Am Heart J. 2005; 149: 627-31. |
| [21] | Medina-Inojosa JR, Somers VK, Thomas RJ, et al. Association between adiposity and lean mass with long-term cardiovascular events in patients with coronary artery disease: No paradox. J Am Heart Assoc. 2018; 7: e007505. doi: 10.1016/JAHA.117.007505. |
| [22] | Haberka M, Stolarz-Skrzpek K, Biedron M, et al. Obesity, visceral fat, and hypertension-related complications. Metab Syndr Relat Disord 2018; 16 (10): 521-9. |
| [23] | Wronska A, Kmiec Z. Structural and biochemical characteristics of various white adipose tissue depots. Acta Physiologica 2012; 205 (2): 194–208. |
| [24] | Goodpaster BH, Thaste FL, Kelley DE. Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus. Am J Clin Nutr 2000; 71 (4): 885-92. |
| [25] | Leskinen T, Sipila S, Kaprio J, Kainulainen H, Alen M, Kujala UM. Physically active vs. inactive lifestyle, muscle properties, and glucose homeostasis in middle-aged and older twins. Age, 2013; 35 (5): 1917-26. |
| [26] | Goodpaster BH, Krishnaswami S, Resnick H, et al. Association between regional adipose tissue distribution and both type 2 diabetes and impaired glucose tolerance in elderly men and women. Diabetes Care. 2003; 26 (2): 372–9. |
| [27] | Yim J-E, Heshka S, Albu JB, Heymsfield S, Gallagher D. Femoral-gluteal subcutaneous and intermuscular adipose tissues have independent and opposing relationships with CVD risk. J Appl Physiol 2008; 104 (3): 700–7. |
| [28] | Goh VHH, Hart WG. Excess fat in the abdomen but not general obesity is associated with poorer metabolic and cardiovascular health in premenopausal and postmenopausal Asian women. Maturitas 2018; 107: 33-8. |
| [29] | Campos RMDS, Masquio DCL, Corgosinho FC, Caranti DA, Ganen AP, Tock L, Oyama LM, Dâmaso AR. Effects of magnitude of visceral adipose tissue reduction: Impact on insulin resistance, hyperleptinemia and cardiometabolic risk in adolescents with obesity after long-term weight-loss therapy. Diab Vasc Dis Res 2019; 16 (2): 196-206. doi: 10.1177/1479164118825343. |
APA Style
Victor Hng Hang Goh. (2021). Clarifying and Revealing the Gender Differences in the Relationships of Lean and Fat Mass with Metabolic Syndrome Risk Factors in Asian Men and Women. World Journal of Public Health, 6(1), 17-24. https://doi.org/10.11648/j.wjph.20210601.14
ACS Style
Victor Hng Hang Goh. Clarifying and Revealing the Gender Differences in the Relationships of Lean and Fat Mass with Metabolic Syndrome Risk Factors in Asian Men and Women. World J. Public Health 2021, 6(1), 17-24. doi: 10.11648/j.wjph.20210601.14
AMA Style
Victor Hng Hang Goh. Clarifying and Revealing the Gender Differences in the Relationships of Lean and Fat Mass with Metabolic Syndrome Risk Factors in Asian Men and Women. World J Public Health. 2021;6(1):17-24. doi: 10.11648/j.wjph.20210601.14
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Download@article{10.11648/j.wjph.20210601.14,
author = {Victor Hng Hang Goh},
title = {Clarifying and Revealing the Gender Differences in the Relationships of Lean and Fat Mass with Metabolic Syndrome Risk Factors in Asian Men and Women},
journal = {World Journal of Public Health},
volume = {6},
number = {1},
pages = {17-24},
doi = {10.11648/j.wjph.20210601.14},
url = {https://doi.org/10.11648/j.wjph.20210601.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20210601.14},
abstract = {Objectives: To clarify the relationships of fat and lean mass with the metabolic syndrome risk factors in Asian men and women. Methods: This is a cross sectional study of 530 and 1326 Singaporean men and women. The lean mass index (LMI), fat mass index (FMI) and abdominal fat index (AbFI) were computed with height adjustments as with BMI, and were categorized into four groups to evaluated for their relationships with the various metabolic syndrome risk factors. Results: Men have 35% more LMI, 57% less FMI and 30% less of AbFI than in women. Lean and fat mass have independent and gender-specific relationships with the various metabolic syndrome risk factors. Varying amounts of LMI in men have no bearing on the MetS risk factors. While in women, high LMI is associated with risk factors for metabolic health. High FMI in men is cardio-protective, while high FMI in women is associated with higher insulin resistance markers. High AbFI in both men and women is a predictor, possibly, of poorer metabolic health. BMI reflects the combined association of LMI, FMI and AbFI. Conclusions: The results clarify and reveal the clear gender differences in the relationships of LMI, FMI, AbFI and BMI with the various MetS risk factors. These news findings, together with known predicators of MetS such as age, physical exercise, male and female hormones, should form the basis to establish different and gender-specific management modalities for MetS.},
year = {2021}
}
TY - JOUR T1 - Clarifying and Revealing the Gender Differences in the Relationships of Lean and Fat Mass with Metabolic Syndrome Risk Factors in Asian Men and Women AU - Victor Hng Hang Goh Y1 - 2021/03/30 PY - 2021 N1 - https://doi.org/10.11648/j.wjph.20210601.14 DO - 10.11648/j.wjph.20210601.14 T2 - World Journal of Public Health JF - World Journal of Public Health JO - World Journal of Public Health SP - 17 EP - 24 PB - Science Publishing Group SN - 2637-6059 UR - https://doi.org/10.11648/j.wjph.20210601.14 AB - Objectives: To clarify the relationships of fat and lean mass with the metabolic syndrome risk factors in Asian men and women. Methods: This is a cross sectional study of 530 and 1326 Singaporean men and women. The lean mass index (LMI), fat mass index (FMI) and abdominal fat index (AbFI) were computed with height adjustments as with BMI, and were categorized into four groups to evaluated for their relationships with the various metabolic syndrome risk factors. Results: Men have 35% more LMI, 57% less FMI and 30% less of AbFI than in women. Lean and fat mass have independent and gender-specific relationships with the various metabolic syndrome risk factors. Varying amounts of LMI in men have no bearing on the MetS risk factors. While in women, high LMI is associated with risk factors for metabolic health. High FMI in men is cardio-protective, while high FMI in women is associated with higher insulin resistance markers. High AbFI in both men and women is a predictor, possibly, of poorer metabolic health. BMI reflects the combined association of LMI, FMI and AbFI. Conclusions: The results clarify and reveal the clear gender differences in the relationships of LMI, FMI, AbFI and BMI with the various MetS risk factors. These news findings, together with known predicators of MetS such as age, physical exercise, male and female hormones, should form the basis to establish different and gender-specific management modalities for MetS. VL - 6 IS - 1 ER -
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