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Altered Visceral Adipose Tissue Predictors and Women’s Health: A Unicenter Study
Open accessAbstract
(1) Background: The excess visceral adipose tissue (VAT) accumulation in women may reflect an early or advanced state of a metabolic disorder and a higher risk of cardiovascular disease than other types of obesity. This study aimed to determine the predictor variables (demographic information, anthropometric data, and blood biomarkers) for changes in VAT in adult women. (2) Methods: This cross-sectional study was conducted with women aged 18–59 years attending nutritional consultation at the Centro Universitário de Brasília (CEUB)’s nutrition school clinic, Brazil. All participants’ medical records were reviewed throughout the study and data of interest were collected. Various anthropometric measurements and biochemical exams were performed and analyzed in a univariate logistic regression model to identify the possible risk factors predictors for the presence of altered VAT. (3) Results: Our logistic regression model considered body mass index (BMI) greater than 25 kg/m2, lipid accumulation product (LAP), and waist–hip ratio (WHR) as predictors of altered VAT. (4) Conclusion: LAP has a robust predictive capacity for changes in visceral fat in adult women, followed by WHR and BMI, making these variables effective in assessing the risk for changes in visceral fat and their inclusion essential in the individual and collective clinical practice.
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“However, these measurements do not differentiate between subcutaneous and visceral fat, nor do they capture functional impairments in adipose tissue metabolism [5].”
From Visceral and Dysfunctional Adiposity Indices as Predictors of Insulin Resistance and Metabolic Syndrome in Women with Polycystic Ovary Syndrome: A Cross-Sectional Study (2025) · cites this paper as [5]
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Cites
Prevalence of Childhood and Adult Obesity in the United States, 2011-2012
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014) · JAMA · doi:10.1001/jama.2014.732 · Cited by 8,072
Finucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., Singh, G. M., Gutierrez, H. R., Lu, Y., Bahalim, A. N., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62037-5 · Cited by 4,050
Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013) · JAMA · doi:10.1001/jama.2012.113905 · Cited by 3,998
Simental‐Mendía, L. E., Rodríguez‐Morán, M., & Guerrero‐Romero, F. (2008) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0034 · Cited by 2,581
Ashwell, M., Gunn, P., & Gibson, S. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00952.x · Cited by 2,130
Amato, M. C., Giordano, C., Galia, M., Criscimanna, A., Vitabile, S., Midiri, M., Galluzzo, A., & for the AlkaMeSy Study Group (2010) · Diabetes Care · doi:10.2337/dc09-1825 · Cited by 1,751
Romero-Corral, A., Montori, V. M., Somers, V. K., Korinek, J., Thomas, R. J., Allison, T. G., Mookadam, F., & Lopez-Jimenez, F. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69251-9 · Cited by 1,652
de Koning, L., Merchant, A. T., Pogue, J., & Anand, S. S. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm026 · Cited by 1,073
A Better Index of Body Adiposity
Bergman, R. N., Stefanovski, D., Buchanan, T. A., Sumner, A. E., Reynolds, J. C., Sebring, N. G., Xiang, A. H., & Watanabe, R. M. (2011) · Obesity · doi:10.1038/oby.2011.38 · Cited by 1,033
Kahn, H. S. (2005) · BMC Cardiovascular Disorders · doi:10.1186/1471-2261-5-26 · Cited by 1,003
Shuster, A., Patlas, M. N., Pinthus, J. H., & Mourtzakis, M. (2011) · British Journal of Radiology · doi:10.1259/bjr/38447238 · Cited by 977
Zhang, C., Rexrode, K. M., van Dam, R. M., Li, T. Y., & Hu, F. B. (2008) · Circulation · doi:10.1161/circulationaha.107.739714 · Cited by 856
Lee, R. C., Wang, Z., Heo, M., Ross, R., Janssen, I., & Heymsfield, S. B. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.3.796 · Cited by 854
Jackson, A., Stanforth, P., Gagnon, J., Rankinen, T., Leon, A., Rao, D., Skinner, J., Bouchard, C., & Wilmore, J. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0802006 · Cited by 694
Klein, S., Allison, D. B., Heymsfield, S. B., Kelley, D. E., Leibel, R. L., Nonas, C., & Kahn, R. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.5.1197 · Cited by 577
Camhi, S. M., Bray, G. A., Bouchard, C., Greenway, F. L., Johnson, W. D., Newton, R. L., Ravussin, É., Ryan, D. H., Smith, S. R., & Katzmarzyk, P. T. (2010) · Obesity · doi:10.1038/oby.2010.248 · Cited by 553
Czernichow, S., Kengne, A. P., Stamatakis, E., Hamer, M., & Batty, G. D. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00879.x · Cited by 470
Anthropometric measurements in the elderly: age and gender differences
Perissinotto, E., Pisent, C., Sergi, G., Grigoletto, F., Enzi, G., & ILSA Working Group (2002) · British Journal Of Nutrition · doi:10.1079/bjn2001487 · Cited by 467
Anthropometric estimation of muscle mass in men
MARTIN, A. D., Spenst, L. F., Drinkwater, D. T., & Clarys, J. P. (1990) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199010000-00027 · Cited by 277
Methods of Estimation of Visceral Fat: Advantages of Ultrasonography
Ribeiro‐Filho, F. F., Faria, A. N., Ajzen, S., Zanella, M. T., & Ferreira, S. R. G. (2003) · Obesity Research · doi:10.1038/oby.2003.199 · Cited by 276
Waist-hip ratio is the dominant risk factor predicting cardiovascular death in Australia
Welborn, T. A., Dhaliwal, S. S., & Bennett, S. A. (2003) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2003.tb05704.x · Cited by 264
Obesity and the lung: 1 {middle dot} Epidemiology
McClean, K., Kee, F., Young, I. S., & Elborn, J. S. (2008) · Thorax · doi:10.1136/thx.2007.086801 · Cited by 245
Ahn, N., Baumeister, S. E., Amann, U., Rathmann, W., Peters, A., Huth, C., Thorand, B., & Meisinger, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-46187-8 · Cited by 232
Wei, J., Liu, X., Xue, H., Wang, Y., & Shi, Z. (2019) · Nutrients · doi:10.3390/nu11071580 · Cited by 219
Body composition in clinical practice
Andreoli, A., Garaci, F., Cafarelli, F. P., & Guglielmi, G. (2016) · European Journal of Radiology · doi:10.1016/j.ejrad.2016.02.005 · Cited by 216
Singh, D. N. (2002) · PubMed · Cited by 171
Gadekar, T., Dudeja, P., Basu, I., Vashisht, S., & Mukherji, S. (2018) · Medical Journal Armed Forces India · doi:10.1016/j.mjafi.2017.12.001 · Cited by 165
Esmaillzadeh, A., Mirmiran, P., & Azizi, F. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802757 · Cited by 164
Roriz, A. K. C., Passos, L. C. S., de Oliveira, C. C., Eickemberg, M., Moreira, P. D. A., & Sampaio, L. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103499 · Cited by 153
Xia, C.-X., Li, R., Zhang, S.-H., Gong, L.-L., Ren, W., Wang, Z.-H., & Li, Q.-F. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.83 · Cited by 152
Liu, Y., Tong, G., Tong, W., Lu, L., & Qin, X. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-35 · Cited by 152
de Mutsert, R., Gast, K. B., Widya, R. L., de Koning, E. J. P., Jazet, I. M., Lamb, H. J., le Cessie, S., Roos, A., Smit, J. W. A., Rosendaal, F. R., et al. (2018) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2017.0128 · Cited by 144
Wiltgen, D., Benedetto, I. G., Mastella, L. S., & Spritzer, P. M. (2009) · Human Reproduction · doi:10.1093/humrep/dep072 · Cited by 140
Barreira, T. V., Staiano, A. E., Harrington, D. M., Heymsfield, S. B., Smith, S. R., Bouchard, C., & Katzmarzyk, P. T. (2012) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2011.12.017 · Cited by 119
Bozorgmanesh, M., Hadaegh, F., & Azizi, F. (2010) · Lipids in Health and Disease · doi:10.1186/1476-511x-9-45 · Cited by 113
Wakabayashi, I., & Daimon, T. (2013) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.20628 · Cited by 105
Berker, D. S., Koparal, S., Işık, S., Paşaoğlu, L., Aydın, Y., Erol, H. K., Delibaşı, T., & Güler, S. (2009) · Diagnostic and Interventional Radiology · doi:10.4261/1305-3825.dir.2749-09.1 · Cited by 91
Amirabdollahian, F., & Haghighatdoost, F. (2018) · Journal of Obesity · doi:10.1155/2018/8370304 · Cited by 86
Ray, L., Ravichandran, K., & Nanda, S. K. (2018) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2017.0119 · Cited by 84
Ferreira, M. V. N., Rendo‐Urteaga, T., Vilanova‐Campelo, R. C., Carvalho, H. B., Oliveira, G. D. P., Landim, M. B. P., & Torres‐Leal, F. L. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.12.020 · Cited by 83
Novel metabolic indices and incident type 2 diabetes among women and men: the Rotterdam Study
Brahimaj, A., Rivadeneira, F., Muka, T., Sijbrands, E., Franco, O., Dehghan, A., & Kavousi, M. (2019) · Diabetologia · doi:10.1007/s00125-019-4921-2 · Cited by 81
Body Adiposity Index, Body Mass Index, and Body Fat in White and Black Adults
Barreira, T. V., Harrington, D. M., Staiano, A. E., Heymsfield, S. B., & Katzmarzyk, P. T. (2011) · JAMA · doi:10.1001/jama.2011.1189 · Cited by 80
The Lipid Accumulation Product Is Associated with Impaired Glucose Tolerance in PCOS Women
Wehr, E., Gruber, H., Giuliani, A., Möller, R., Pieber, T. R., & Obermayer-Pietsch, B. M. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-0031 · Cited by 79
Borel, A., Coumes, S., Reche, F., Ruckly, S., Pépin, J., Tamisier, R., Wion, N., & Arvieux, C. C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206617 · Cited by 78
Wehr, E., Pilz, S., Boehm, B. O., März, W., & Obermayer-Pietsch, B. M. (2011) · Obesity · doi:10.1038/oby.2011.42 · Cited by 74
Akpınar, E., Başhan, İ., Bozdemir, N., & Saatçı, E. (2007) · PubMed · Cited by 66
Samouda, H., Dutour, A., Chaumoître, K., Panuel, M., Dutour, O., & Dadoun, F. (2013) · Obesity · doi:10.1002/oby.20033 · Cited by 64
A New Formula for Population-Based Estimation of Whole Body Muscle Mass in Males
Doupe, M. B., Martín, A., Searle, M. S., Kriellaars, D. J., & Giesbrecht, G. G. (1997) · Canadian Journal of Applied Physiology · doi:10.1139/h97-039 · Cited by 57
Waist-to-hip ratio, body-mass index, age and number of children in seven traditional societies
Butovskaya, M., Sorokowska, A., Karwowski, M., Sabiniewicz, A., Fedenok, J. N., Dronova, D. A., Negasheva, M. A., Selivanova, E. K., & Sorokowski, P. (2017) · Scientific Reports · doi:10.1038/s41598-017-01916-9 · Cited by 54
High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women
Benites-Zapata, V. A., Toro-Huamanchumo, C. J., Urrunaga‐Pastor, D., Guarnizo-Poma, M., Lázaro-Alcántara, H., Paico-Palacios, S., Pantoja-Torres, B., & Ranilla-Seguin, V. D. C. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.11.043 · Cited by 49
Oh, J.-Y., Sung, Y.-O.-A., & Lee, H. (2013) · Diabetic Medicine · doi:10.1111/dme.12052 · Cited by 45
Mirzaei, M., & Khajeh, M. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.04.026 · Cited by 45
Medina‐Inojosa, J. R., Batsis, J. A., Supervía, M., Somers, V. K., Thomas, R. J., Jenkins, S. M., Grimes, C., & López-Jiménez, F. A. (2018) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2017.12.038 · Cited by 43
Scicali, R., Rosenbaum, D. H., Pino, A. D., Giral, P., Cluzel, P., Redheuil, A. B., Piro, S., Rabuazzo, A. M., Purrello, F., Bruckert, É., et al. (2018) · Acta Diabetologica · doi:10.1007/s00592-018-1144-9 · Cited by 42
Millar, S., Perry, I. J., & Phillips, C. M. (2015) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-015-0069-5 · Cited by 40
Pereira, P. M. G., da Silva, G. A., Júnior, G. M. S., Petróski, E. L., & Geraldes, A. A. R. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-92 · Cited by 38
Liu, M., Liu, Q.-J., Wen, J., Wang, M., Wu, L., Qu, M., Li, M., Shen, M., & Wu, J. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2018.04.006 · Cited by 38
Alkhalaqi, A., Al-Naimi, F., Qassmi, R., Shi, Z., Ganji, V., Salih, R. O. M., & Bawadi, H. A. (2020) · Medicine · doi:10.1097/md.0000000000021327 · Cited by 38
Cameron, N. A., Godino, J., Nichols, J. F., Wing, D., Hill, L. L., & Patrick, K. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.49 · Cited by 32
Roriz, A. K. C., de Oliveira, C. C., Moreira, P. D. A., Eickemberg, M., Medeiros, J. M. B., & Sampaio, L. R. (2026) · Archivos Latinoamericanos de Nutrición · doi:10.37527/2011.61.1.001 · Cited by 31
Anthropometric clinical indicators in the assessment of visceral obesity: an update
Roriz, A. K. C. (2016) · Nutrición clínica y dietética hospitalaria/Nutrición clínica, dietética hospitalaria · doi:10.12873/362carneirororiz · Cited by 27
Ibrahim, Q., & Ahsan, M. (2019) · Pakistan Journal of Biological Sciences · doi:10.3923/pjbs.2019.168.173 · Cited by 26
Sánchez‐SanSegundo, M., Zaragoza-Martí, A., Martin-LLaguno, I., Berbegal-Bernabeu, M., Ferrer‐Cascales, R., & Sánchez, J. A. H. (2021) · Nutrients · doi:10.3390/nu13072259 · Cited by 25
Cartolano, F. D. C., Pappiani, C., de Freitas, M. C. P., Neto, A. M. F., Carioca, A. A. F., & Damasceno, N. R. T. (2018) · Arquivos Brasileiros de Cardiologia · doi:10.5935/abc.20180054 · Cited by 24
Waist-to-hip ratio but not body mass index predicts liver cirrhosis in women
Schult, A., Mehlig, K., Björkelund, C., Wallerstedt, S., & Kaczynski, J. (2017) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365521.2017.1420219 · Cited by 23
Wander, P. L., Hayashi, T., Satō, K., Uehara, S., Hikita, Y., Leonetti, D. L., Kahn, S. E., Fujimoto, W. Y., & Boyko, E. J. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2018.09.004 · Cited by 19
Pan, S. Y., de Groh, M., Aziz, A. A., & MORRISON, H. I. (2015) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/s40200-016-0253-7 · Cited by 15
Yang, X. Y., Shao, M. J., Zhou, Q., Xia, Y. Y., & Zou, H.-Q. (2017) · Europe PMC (PubMed Central) · doi:10.3969/j.issn.1673-4254.2017.11.19 · Cited by 8
Abdominal Diameter Profiles have Relationship with Insulin Resistance in Obese Female Adolescents
Dieny, F. F., Tsani, A. F. A., Setyaningsih, R. F., Fitranti, D. Y., Jauharany, F. F., & Putra, Y. D. (2020) · Electronic Journal of General Medicine · doi:10.29333/ejgm/7882 · Cited by 5
Scicali, R., Rosenbaum, D. H., Pino, A. D., Giral, P., Cluzel, P., Redheuil, A. B., Piro, S., Rabuazzo, A. M., Purrello, F., Bruckert, É., et al. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.06.648 · Cited by 3
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“However, these measurements do not differentiate between subcutaneous and visceral fat, nor do they capture functional impairments in adipose tissue metabolism [5].”
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Metadata
- Authors
- Moreira, V. C., de Souza Silva, C. M., & da Silva, I. C. R.
- Affiliations
- Universidade de Brasília (BR)
- Graduate Program in Health Sciences and Technologies, Faculty of Ceilandia, University of Brasilia, Federal District, Brasilia 72220-275, Brazil
- Corresponding author
- Moreira, Vanessa Carvalho
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2022-05-01
- Volume
- 19
- Issue
- 9
- Pages
- 5505
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC9105488
- OpenAlex
- W4225255859
- Cited by
- 3
- References
- 71
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1
- FWCI
- 0.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- visceral adipose tissue, visceral obesity, women's health, lipid accumulation product, waist-to-hip ratio, body mass index, anthropometric predictors, blood biomarkers, cardiovascular risk, metabolic disorders, nutrition counseling
- MeSH terms
- Adipose Tissue, Adult, Anthropometry, Cross-Sectional Studies, Female, Humans, Body Mass Index, Women's Health, Waist-Hip Ratio, Intra-Abdominal Fat
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