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Endocrine, Metabolic & Immune Disorders - Drug Targets

Editor-in-Chief

ISSN (Print): 1871-5303
ISSN (Online): 2212-3873

Research Article

Association between Body Fat Percentage and Cardiometabolic Diseases in General Population

Author(s): Jiayi Si, Lina Kang* and Yihai Liu*

Volume 24, Issue 12, 2024

Published on: 01 January, 2024

Page: [1395 - 1400] Pages: 6

DOI: 10.2174/0118715303274348231130052050

Price: $65

Abstract

Objectives: The body fat percentage is an indicator of overall body fat related to metabolism and inflammation. Our study aims to analyze the association between body fat percentage and the risk of cardiometabolic diseases in the general population.

Methods: This was a retrospectively cross-sectional study. A total of 5084 participants enrolled from the National Health and Nutrition Examination Survey cycle of 1999-2004 were divided into quartiles according to their body fat percent levels. The body fat percentage was measured from bioelectrical impedance analysis. A history of cardiometabolic diseases, including cardiovascular disease, hypertension and diabetes mellitus, was ascertained from questionnaire, physical or laboratory examination. The association between body fat percentage and cardiometabolic diseases was investigated using multivariate logistic regression.

Results: Compared with the lowest quartile of body fat percentage, the multivariate-adjusted odds ratio and 95% confidence interval of the highest quartile was 3.99 (1.58-10.88) for cardiovascular disease, 1.08 (1.04-1.13) for hypertension and 3.08 (1.89-5.11) for diabetes. Body fat percentage independently increased the risk of cardiometabolic diseases as a continuous variable.

Conclusion: Higher body fat percentage level was associated with a higher likelihood of cardiometabolic diseases, which could be a powerful predictive factor.

Graphical Abstract

[1]
Møller, G.; Ritz, C.; Kjølbæk, L.; Vuholm, S.; Korndal, S.K.; Larsen, T.M.; Pedersen, O.; Saris, W.; Astrup, A.; Lauritzen, L.; Kristensen, M.; Lind, M.V. Sagittal abdominal diameter and waist circumference appear to be equally good as identifiers of cardiometabolic risk. Nutr. Metab. Cardiovasc. Dis., 2021, 31(2), 518-527.
[http://dx.doi.org/10.1016/j.numecd.2020.09.032] [PMID: 33223400]
[2]
Savva, S.; Lamnisos, D.; Kafatos, A. Predicting cardiometabolic risk: Waist-to-height ratio or BMI. A meta-analysis. Diabetes Metab. Syndr. Obes., 2013, 6, 403-419.
[http://dx.doi.org/10.2147/DMSO.S34220] [PMID: 24179379]
[3]
Diaz-Melean, C.M.; Somers, V.K.; Rodriguez-Escudero, J.P.; Singh, P.; Sochor, O.; Llano, E.M.; Lopez-Jimenez, F. Mechanisms of adverse cardiometabolic consequences of obesity. Curr. Atheroscler. Rep., 2013, 15(11), 364.
[http://dx.doi.org/10.1007/s11883-013-0364-2] [PMID: 24048571]
[4]
Tzotzas, T.; Evangelou, P.; Kiortsis, D.N. Obesity, weight loss and conditional cardiovascular risk factors. Obes. Rev., 2011, 12(5), e282-e289.
[http://dx.doi.org/10.1111/j.1467-789X.2010.00807.x] [PMID: 21054756]
[5]
Sedlmeier, A.M.; Baumeister, S.E.; Weber, A.; Fischer, B.; Thorand, B.; Ittermann, T.; Dörr, M.; Felix, S.B.; Völzke, H.; Peters, A.; Leitzmann, M.F. Relation of body fat mass and fat-free mass to total mortality: Results from 7 prospective cohort studies. Am. J. Clin. Nutr., 2021, 113(3), 639-646.
[http://dx.doi.org/10.1093/ajcn/nqaa339] [PMID: 33437985]
[6]
Andreacchi, A.T.; Griffith, L.E.; Guindon, G.E.; Mayhew, A.; Bassim, C.; Pigeyre, M.; Stranges, S.; Anderson, L.N. Body mass index, waist circumference, waist-to-hip ratio, and body fat in relation to health care use in the Canadian Longitudinal Study on Aging. Int. J. Obes., 2021, 45(3), 666-676.
[http://dx.doi.org/10.1038/s41366-020-00731-z] [PMID: 33432110]
[7]
Hetherington-Rauth, M.; Bea, J.W.; Lee, V.R.; Blew, R.M.; Funk, J.L.; Lohman, T.G.; Going, S.B. Relationship between fat distribution and cardiometabolic risk in Hispanic girls. Am. J. Hum. Biol., 2018, 30(5), e23149.
[http://dx.doi.org/10.1002/ajhb.23149] [PMID: 30129276]
[8]
Snijder, M.B.; Zimmet, P.Z.; Visser, M.; Dekker, J.M.; Seidell, J.C.; Shaw, J.E. Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia: The AusDiab Study. Int. J. Obes., 2004, 28(3), 402-409.
[http://dx.doi.org/10.1038/sj.ijo.0802567] [PMID: 14724659]
[9]
Whitney, D.G.; Hurvitz, E.A.; Peterson, M.D. Cardiometabolic disease, depressive symptoms, and sleep disorders in middle-aged adults with functional disabilities: NHANES 2007–2014. Disabil. Rehabil., 2020, 42(15), 2186-2191.
[http://dx.doi.org/10.1080/09638288.2018.1555720] [PMID: 30653371]
[10]
Whelton, P.K.; Carey, R.M.; Aronow, W.S.; Casey, D.E., Jr; Collins, K.J.; Dennison, H.C.; DePalma, S.M.; Gidding, S.; Jamerson, K.A.; Jones, D.W.; MacLaughlin, E.J.; Muntner, P.; Ovbiagele, B.; Smith, S.C., Jr; Spencer, C.C.; Stafford, R.S.; Taler, S.J.; Thomas, R.J.; Williams, K.A., Sr; Williamson, J.D.; Wright, J.T., Jr 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/] APhA/ASH/ASPC/NMA/PCNA Guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. J. Am. Coll. Cardiol., 2018, 71(19), e127-e248.
[http://dx.doi.org/10.1016/j.jacc.2017.11.006] [PMID: 29146535]
[11]
Romero-Corral, A.; Somers, V.K.; Sierra-Johnson, J.; Korenfeld, Y.; Boarin, S.; Korinek, J.; Jensen, M.D.; Parati, G.; Lopez-Jimenez, F. Normal weight obesity: A risk factor for cardiometabolic dysregulation and cardiovascular mortality. Eur. Heart J., 2010, 31(6), 737-746.
[http://dx.doi.org/10.1093/eurheartj/ehp487] [PMID: 19933515]
[12]
Collins, K.H.; Sharif, B.; Sanmartin, C.; Reimer, R.A.; Herzog, W.; Chin, R.; Marshall, D.A. Association of body mass index (BMI) and percent body fat among BMI-defined non-obese middle-aged individuals: Insights from a population-based Canadian sample. Can. J. Public Health, 2016, 107(6), e520-e525.
[http://dx.doi.org/10.17269/CJPH.107.5652] [PMID: 28252369]
[13]
Zegarra-Lizana, P.A.; Ramos-Orosco, E.J.; Guarnizo-Poma, M.; Pantoja-Torres, B.; Paico-Palacios, S.; Del Carmen, R.V.; Lazaro-Alcantara, H.; Benites-Zapata, V.A. Relationship between body fat percentage and insulin resistance in adults with Bmi values below 25 Kg/M2 in a private clinic. Diabetes Metab. Syndr., 2019, 13(5), 2855-2859.
[http://dx.doi.org/10.1016/j.dsx.2019.07.038] [PMID: 31425947]
[14]
Camhi, S.M.; Stefanick, M.L.; Katzmarzyk, P.T.; Young, D.R. Metabolic syndrome and changes in body fat from a low-fat diet and/or exercise randomized controlled trial. Obesity, 2010, 18(3), 548-554.
[http://dx.doi.org/10.1038/oby.2009.304] [PMID: 19798074]
[15]
Blüher, M. (Adipose tissue-an endocrine organ). Internist, 2014, 55(6), 687-697.
[PMID: 24831682]
[16]
Khanna, D.; Khanna, S.; Khanna, P.; Kahar, P.; Patel, B.M. Obesity: A chronic low-grade inflammation and its markers. Cureus, 2022, 14(2), e22711.
[http://dx.doi.org/10.7759/cureus.22711] [PMID: 35386146]
[17]
Aktas, G.; Yilmaz, S.; Kantarci, D.B.; Duman, T.T.; Bilgin, S.; Balci, S.B.; Atak Tel, B.M. Is serum uric acid-to-HDL cholesterol ratio elevation associated with diabetic kidney injury? Postgrad. Med., 2023, 135(5), 519-523.
[http://dx.doi.org/10.1080/00325481.2023.2214058] [PMID: 37170820]
[18]
Sheibani, H.; Esmaeili, H.; Tayefi, M.; Saberi-Karimian, M.; Darroudi, S.; Mouhebati, M.; Azarpazhooh, M.R.; Divbands, G.; Ferns, G.A.; Safarian, M.; Ghayour-Mobarhan, M. A comparison of body mass index and percent body fat as predictors of cardiovascular risk factors. Diabetes Metab. Syndr., 2019, 13(1), 570-575.
[http://dx.doi.org/10.1016/j.dsx.2018.11.012] [PMID: 30641768]
[19]
Bosch, T.A.; Steinberger, J.; Sinaiko, A.R.; Moran, A.; Jacobs, D.R., Jr; Kelly, A.S.; Dengel, D.R. Identification of sex-specific thresholds for accumulation of visceral adipose tissue in adults. Obesity, 2015, 23(2), 375-382.
[http://dx.doi.org/10.1002/oby.20961] [PMID: 25627625]

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