Android Fat Depot Is More Closely Associated with Metabolic Syndrome than Abdominal Visceral Fat in Elderly People
Open accessAbstract
BACKGROUND: Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population. METHODS AND FINDINGS: As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm(2) and 126.9±55.2 cm(2) in men (P = 0.045) and 120.0±46.7 cm(2) and 211.8±65.9 cm(2) in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area. CONCLUSIONS: Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
BRI offers potential advantages, such as incorporating both height and WC to provide a more comprehensive estimate of body composition, which may better reflect visceral adiposity compared to BMI alone.
“BRI offers potential advantages, such as incorporating both height and waist circumference (WC) to provide a more comprehensive estimate of body composition, which may better reflect visceral adiposity compared to body mass index (BMI) alone.”
From Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis (2025) · cites this paper as [12]
The Results (Table 2; page unavailable) report separate correlations of BMI and waist circumference with visceral fat, while the Discussion addresses DXA and CT assessment of body composition. Searches for “body roundness index,” “BRI,” and height-and-waist-based estimation found no passage defining BRI or comparing its estimate of visceral adiposity with BMI. (LLM, conf=0.76)
Experimental — accuracy not yet measuredBRI has limitations including the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts.
“However, its limitations include the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts [12].”
From Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis (2025) · cites this paper as [12]
The Discussion (page unavailable) calls for further study because findings about DXA-measured android fat came from a small, single cohort of older adults. Our copy does not address BRI or its validation across populations or clinical contexts; searches for BRI, diverse-population validation, and superiority over conventional biomarkers found no relevant passage. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944 · see citing works
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011 · see citing works
The metabolic syndrome—a new worldwide definition
Alberti, K. G. M., Zimmet, P., & Shaw, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67402-8 · Cited by 9,352 · see citing works
Computed Tomography — An Increasing Source of Radiation Exposure
Brenner, D. J., & Hall, E. J. (2007) · New England Journal of Medicine · doi:10.1056/nejmra072149 · Cited by 8,738 · see citing works
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760 · see citing works
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354 · see citing works
Wg, A., Edwards, J., Frye, R., Gg, G., Gott, V. L., Griffith, L., McGoon, D. C., Murphy, M., & Roe, B. B. (1975) · Circulation · doi:10.1161/01.cir.51.4.5 · Cited by 3,255 · see citing works
Fox, C. S., Massaro, J. M., Hoffmann, U., Pou, K. M., Maurovich-Horvat, P., Liu, C.-Y., Vasan, R. S., Murabito, J. M., Meigs, J. B., Cupples, L. A., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.675355 · Cited by 2,882 · see citing works
Subcutaneous and visceral adipose tissue: Structural and functional differences
Ibrahim, M. M. (2010) · Obesity Reviews · doi:10.1111/j.1467-789x.2009.00623.x · Cited by 2,238 · see citing works
Human epicardial adipose tissue is a source of inflammatory mediators
Mazurek, T., Zhang, L., Zalewski, A., Mannion, J. D., Diehl, J. T., Arafat, H., Sarov-Blat, L., O’Brien, S., Keiper, E. A., Johnson, A. G., et al. (2003) · Circulation · doi:10.1161/01.cir.0000099542.57313.c5 · Cited by 1,966 · see citing works
Abdominal Adiposity and Coronary Heart Disease in Women
Rexrode, K. M. (1998) · JAMA · doi:10.1001/jama.280.21.1843 · Cited by 1,202 · see citing works
Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesity
Fabbrini, E., Magkos, F., Mohammed, B. S., Pietka, T., Abumrad, N. A., Patterson, B. W., Okunade, A., & Klein, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904944106 · Cited by 972 · see citing works
Marquis, K., Debigaré, R., Lacasse, Y., Leblanc, P., Jobin, J., Carrier, G., & Maltais, F. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2107031 · Cited by 840 · see citing works
Abdominal Fat: Standardized Technique for Measurement at CT
Yoshizumi, T., Nakamura, T., Yamane, M., Islam, A. H. M. W., Menju, M., Yamasaki, K., Arai, T., Kotani, K., Funahashi, T., Yamashita, S., et al. (1999) · Radiology · doi:10.1148/radiology.211.1.r99ap15283 · Cited by 829 · see citing works
Human Body Composition: In Vivo Methods
Ellis, K. J. (2000) · Physiological Reviews · doi:10.1152/physrev.2000.80.2.649 · Cited by 826 · see citing works
Yudkin, J. S., Eringa, E. C., & Stehouwer, C. D. A. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66585-3 · Cited by 551 · see citing works
Meigs, J. B. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.10.908 · Cited by 397 · see citing works
Visceral adipose tissue: relations between single-slice areas and total volume
Shen, W., Punyanitya, M., Wang, Z., Gallagher, D., St‐Onge, M., Albu, J., Heymsfield, S. B., & Heshka, S. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.2.271 · Cited by 352 · see citing works
Anthropometry in Body Composition: An Overview
Wang, J., Thornton, J. C., KOLESNIK, S., & Pierson, R. N. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06474.x · Cited by 276 · see citing works
Pericardial Fat, Intrathoracic Fat, and Measures of Left Ventricular Structure and Function
Fox, C. S., Gona, P. N., Hoffmann, U., Porter, S. A., Salton, C. J., Massaro, J. M., Levy, D. A., Larson, M. G., D’Agostino, R. B., O’Donnell, C. J., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.828970 · Cited by 248 · see citing works
Cardiovascular Disease Under the Influence of Excess Visceral Fat
Després, J. (2007) · Critical Pathways in Cardiology A Journal of Evidence-Based Medicine · doi:10.1097/hpc.0b013e318057d4c9 · Cited by 199 · see citing works
Park, Y.-W., Heymsfield, S., & Gallagher, D. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0801982 · Cited by 196 · see citing works
Distribution of body fat and risk of coronary heart disease in men and women
Canoy, D. (2008) · Current Opinion in Cardiology · doi:10.1097/hco.0b013e328313133a · Cited by 171 · see citing works
Hind, K., Oldroyd, B., & Truscott, J. G. (2010) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2010.190 · Cited by 170 · see citing works
The Epidemiology of Central Fat Distribution in Relation to Disease
Pi-Sunyer, F. X. (2004) · Nutrition Reviews · doi:10.1111/j.1753-4887.2004.tb00081.x · Cited by 153 · see citing works
Effect of Android to Gynoid Fat Ratio on Insulin Resistance in Obese Youth
Aucouturier, J., Meyer, M., Thivel, D., Taillardat, M., & Duché, P. (2009) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2009.148 · Cited by 117 · see citing works
Lohman, M., Tallroth, K., Kettunen, J. A., & Marttinen, M. T. (2009) · Metabolism · doi:10.1016/j.metabol.2009.05.023 · Cited by 114 · see citing works
Estimating intraabdominal adipose tissue in women by dual-energy X-ray absorptiometry
Treuth, M., Hunter, G., & Kekes-Szabo, T. (1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.3.527 · Cited by 114 · see citing works
Excess Visceral Adipose Tissue/Ectopic Fat
Després, J. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.10.063 · Cited by 101 · see citing works
Zillikens, M. C., Uitterlinden, A. G., van Leeuwen, J. P. T. M., Berends, A. L., Henneman, P., van Dijk, K. W., Oostra, B. A., van Duijn, C. M., Pols, H. A. P., & Rivadeneira, F. (2009) · Calcified Tissue International · doi:10.1007/s00223-009-9319-6 · Cited by 99 · see citing works
Subcutaneous and visceral adipose tissue: structural and functional differences
Ibrahim, M. M. (2010) · Obesity and metabolism · doi:10.14341/2071-8713-5212 · Cited by 93 · see citing works
Oka, R., Miura, K., Sakurai, M., Nakamura, K., Yagi, K., Miyamoto, S., Moriuchi, T., Mabuchi, H., Koizumi, J., Nomura, H., et al. (2009) · Obesity · doi:10.1038/oby.2009.180 · Cited by 85 · see citing works
Lim, S. K., Kwon, S., Yoon, J. W., Kim, S. Y., Choi, S. H., Park, Y. J., Yoon, H. I., Chang, Y., Lee, J. H., Lee, C., et al. (2010) · Obesity · doi:10.1038/oby.2010.167 · Cited by 52 · see citing works
Self-citationAbdominal Obesity and the Metabolic Syndrome
Despres, J., Lemieux, I., & Alméras, N. (2006) · Springer eBooks · doi:10.1007/978-0-387-32164-6_8 · Cited by 52 · see citing works
Lim, S. K., Yoon, J. W., Choi, S. H., Park, Y. J., Lee, J. J., Park, J. H., Lee, S. B., Kim, K. W., Lim, J., Kim, Y., et al. (2009) · Obesity · doi:10.1038/oby.2009.232 · Cited by 51 · see citing works
Self-citationFat in Liver/Muscle Correlates More Strongly With Insulin Sensitivity in Rats Than Abdominal Fat
Lim, S. K., Son, K. R., Song, I. C., Park, H. S., Jin, C. J., Jang, H. C., Park, K. S., Kim, Y., & Lee, H. K. (2008) · Obesity · doi:10.1038/oby.2008.486 · Cited by 51 · see citing works
Self-citationSk, K., Park, S., Hwang, I.-J., Lee, Y.-K., & Cho, Y. ‐. (2009) · International Journal of Obesity · doi:10.1038/ijo.2009.210 · Cited by 36 · see citing works
Upper body adiposity and the risk for atherosclerosis.
Gaal, L. F. V., Vansant, G. A. A. M., & Leeuw, I. H. D. (1989) · Journal of the American College of Nutrition · doi:10.1080/07315724.1989.10720320 · Cited by 35 · see citing works
Lim, S. K., Choi, S. H., Choi, E., Chang, S., Ku, Y. H., Chun, E. J., Choi, S. I., Jang, H. C., & Chang, H. (2008) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2008.10.041 · Cited by 33 · see citing works
Self-citationEffect of truncal adiposity on plasma lipid and lipoprotein concentrations.
Niederauer, C. M., Binkley, T. L., & SPECKER, B. L. (2006) · PubMed · Cited by 25 · see citing works
The Epidemiology of Central Fat Distribution in Relation to Disease
Pi‐Sunyer, F. X. (2004) · Nutrition Reviews · doi:10.1301/nr.2004.jul.s120-s126 · Cited by 25 · see citing works
Berends, A., Zillikens, M. C., de Groot, C. J. M., Rivadeneira, F., Oostra, B. A., van Duijn, C. M., & Steegers, E. (2009) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2008.02044.x · Cited by 23 · see citing works
Rhee, E., Choi, J.-H., Yoo, S.-H., Bae, J.-C., Kim, W.-J., Choi, E.-S., Park, S. E., Park, C., Park, S. W., Oh, K.-W., et al. (2011) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2011.35.2.138 · Cited by 18 · see citing works
Self-citationIndices of central and peripheral body fat: association with non-fatal acute myocardial infarction
Oliveira, A., Rodríguez‐Artalejo, F., Severo, M., & Lopes, C. M. M. (2010) · International Journal of Obesity · doi:10.1038/ijo.2009.281 · Cited by 16 · see citing works
Effect of Android to Gynoid Fat Ratio on Insulin Resistance in Obese Youth
Nieman, D. C. (2010) · Yearbook of Sports Medicine · doi:10.1016/s0162-0908(09)79608-4 · Cited by 7 · see citing works
Flagged first, then by citations
1 of the 47 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A New Body Shape Index Predicts Mortality Hazard Independently of Body Mass Index
Krakauer, N. Y., & Krakauer, J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039504 · Cited by 1,331 · see citing works
Stekovic, S., Hofer, S. J., Tripolt, N., Aon, M. A., Royer, P., Pein, L., Stadler, J. T., Pendl, T., Prietl, B., Url, J., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.016 · Cited by 412 · see citing works
Body fat distribution and the risk of incident metabolic syndrome: A longitudinal cohort study
Kwon, H., Kim, D., & Kim, J. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-09723-y · Cited by 205 · see citing works
Pinnick, K. E., Nicholson, G., Manolopoulos, K. N., McQuaid, S., Valet, P., Frayn, K. N., Denton, N., Min, J. L., Zondervan, K. T., Fleckner, J., et al. (2014) · Diabetes · doi:10.2337/db14-0385 · Cited by 187 · see citing works
Chang, Y., Guo, X., Chen, Y., Guo, L., Li, Z., Yu, S., Yang, H., & Sun, Y. (2015) · BMC Public Health · doi:10.1186/s12889-015-2150-2 · Cited by 180 · see citing works
Ectopic fat and cardiometabolic and vascular risk
Lim, S. K., & Meigs, J. B. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.08.077 · Cited by 174 · see citing works
Self-citationTzenios, N., Lewis, E. D., Crowley, D. C., Chahine, M. A., & Evans, M. (2021) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2021.0042 · Cited by 169 · see citing works
Obesity and colorectal cancer: molecular features of adipose tissue
Martínez‐Useros, J., & García‐Foncillas, J. (2016) · Journal of Translational Medicine · doi:10.1186/s12967-016-0772-5 · Cited by 169 · see citing works
Vasan, S. K., Osmond, C., Canoy, D., Christodoulides, C., Neville, M. J., Gravio, C. D., Fall, C. H. D., & Karpe, F. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.289 · Cited by 164 · see citing works
Bertoli, S., Leone, A., Krakauer, N., Bedogni, G., Vanzulli, A., Redaelli, V. I., Amicis, R. D., Vignati, L., Krakauer, J., & Battezzati, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185013 · Cited by 132 · see citing works
Møller, J. B., Pedersen, M., Tanaka, H., Ohsugi, M., Overgaard, R. V., Lynge, J., Almind, K., Vasconcelos, N.-M., Poulsen, P., Keller, C., et al. (2013) · Diabetes Care · doi:10.2337/dc13-0598 · Cited by 146 · see citing works
Sex-specific association between gut microbiome and fat distribution
Min, Y., Ma, X., Sankaran, K., Ru, Y., Chen, L., Baiocchi, M., & Zhu, S. (2019) · Nature Communications · doi:10.1038/s41467-019-10440-5 · Cited by 133 · see citing works
Fukuda, T., Bouchi, R., Takeuchi, T., Tsujimoto, K., Minami, I., Yoshimoto, T., & Ogawa, Y. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0700-5 · Cited by 125 · see citing works
Metabolically Healthy Obesity—Heterogeneity in Definitions and Unconventional Factors
Brandão, I., Martins, M. J., & Monteiro, R. (2020) · Metabolites · doi:10.3390/metabo10020048 · Cited by 110 · see citing works
Haghighatdoost, F., Sarrafzadegan, N., Mohammadifard, N., Asgary, S., Boshtam, M., & Azadbakht, L. (2014) · Nutrition · doi:10.1016/j.nut.2013.10.021 · Cited by 108 · see citing works
Samsell, L. J., Regier, M., Walton, C., & Cottrell, L. (2014) · Journal of Obesity · doi:10.1155/2014/846578 · Cited by 107 · see citing works
Cheung, Y. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085421 · Cited by 96 · see citing works
Randomized controlled trial for time-restricted eating in overweight and obese young adults
Zhang, L., Liu, Z., Wang, J., Li, R., Ren, J.-Y., Gao, X., Lv, S., Liang, L., Zhang, F., Yin, B., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104870 · Cited by 97 · see citing works
Lazzer, S., D’Alleva, M., Isola, M., Martino, M. D., Caroli, D., Bondesan, A., Marra, A., & Sartório, A. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093055 · Cited by 92 · see citing works
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 · see citing works
Li, Y., He, Y., Yang, L., Liu, Q., Li, C., Wang, Y., Yang, P., Wang, J., Chen, Z., & Huang, X. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.801582 · Cited by 84 · see citing works
Okosun, I. S., Seale, J. P., & Lyn, R. (2015) · Nutrition and Diabetes · doi:10.1038/nutd.2015.5 · Cited by 83 · see citing works
Zhang, N., Chang, Y., Guo, X., Chen, Y., Ye, N., & Sun, Y. (2016) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2016.01.019 · Cited by 83 · see citing works
Ziegenfuss, T. N., Kedia, A. W., Sandrock, J. E., Raub, B. J., Kerksick, C. M., & Lopez, H. L. (2018) · Nutrients · doi:10.3390/nu10111807 · Cited by 80 · see citing works
Son, J. W., Han, B., Bennett, J. P., Heymsfield, S., & Lim, S. (2025) · Obesity Reviews · doi:10.1111/obr.13844 · Cited by 74 · see citing works
Self-citationHulmi, J. J., Isola, V., Suonpää, M., Järvinen, N. J., Kokkonen, M., Wennerström, A., Nyman, K., Perola, M., Ahtiainen, J. P., & Häkkinen, K. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2016.00689 · Cited by 74 · see citing works
Android and gynoid fat percentages and serum lipid levels in U nited S tates adults
Min, K., & Min, J. (2014) · Clinical Endocrinology · doi:10.1111/cen.12505 · Cited by 71 · see citing works
Gažarová, M., Galšneiderová, M., & Mečiarová, L. (2019) · Roczniki Państwowego Zakładu Higieny · doi:10.32394/rpzh.2019.0077 · Cited by 65 · see citing works
The effects of whey protein with or without carbohydrates on resistance training adaptations
Hulmi, J. J., Laakso, M., Mero, A. A., Häkkinen, K., Ahtiainen, J. P., & Peltonen, H. (2015) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-015-0109-4 · Cited by 61 · see citing works
Basu, B., Chowdhury, O., & Saha, S. (2018) · Journal of Human Reproductive Sciences · doi:10.4103/jhrs.jhrs_78_17 · Cited by 61 · see citing works
Fukuda, T., Bouchi, R., Takeuchi, T., Nakano, Y., Murakami, M., Minami, I., Izumiyama, H., Hashimoto, K., Yoshimoto, T., & Ogawa, Y. (2017) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2017-000404 · Cited by 61 · see citing works
Arterial stiffness and ischemic stroke in subjects with and without metabolic syndrome
Tuttolomondo, A., Raimondo, D. D., Sciacca, R. D., Pecoraro, R., Arnao, V., Buttà, C., Licata, G., & Pinto, A. V. (2012) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2012.08.027 · Cited by 59 · see citing works
Ghoch, M. E., Milanese, C., Calugi, S., Pellegrini, M., Battistini, N., & Grave, R. D. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.078816 · Cited by 60 · see citing works
Silveira, É. A., Filho, R. R. D. S., Spexoto, M. C. B., Haghighatdoost, F., Sarrafzadegan, N., & de Oliveira, C. M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094339 · Cited by 56 · see citing works
Akoum, S. E., Lamontagne, V., Cloutier, I., & Tanguay, J. (2011) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-3-34 · Cited by 57 · see citing works
Regional body fat depots differently affect bone microarchitecture in postmenopausal Korean women
Kim, J. H., Choi, H. J., Ku, E. J., Hong, A. R., Kim, K. M., Kim, S. W., Cho, N. H., & Shin, C. S. (2015) · Osteoporosis International · doi:10.1007/s00198-015-3329-1 · Cited by 56 · see citing works
Self-citationSasai, H., Brychta, R. J., Wood, R. P., Rothney, M. P., Zhao, X., Skarulis, M. C., & Chen, K. Y. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815577424 · Cited by 55 · see citing works
Lv, S., Zhang, A., Di, W., Sheng, Y., Cheng, P., Qi, H., Liu, J., Yu, J., Ding, G., Cai, J., et al. (2016) · Scientific Reports · doi:10.1038/srep24935 · Cited by 54 · see citing works
Visceral fat mass: is it the link between uric acid and diabetes risk?
Seyedsadjadi, N., Berg, J., BILGIN, A. A. B., & Grant, R. (2017) · Lipids in Health and Disease · doi:10.1186/s12944-017-0532-4 · Cited by 54 · see citing works
Effects of Different Resistance Training Frequencies on Fat in Overweight/Obese Older Women
Cavalcante, E. F., Ribeiro, A. S., Nascimento, M., Silva, A. M., Tomeleri, C. M., Nabuco, H. C. G., Pina, F. L. C., Mayhew, J. L., Silva‐Grigoletto, M. E. D., da Silva, D. R. P., et al. (2018) · International Journal of Sports Medicine · doi:10.1055/a-0599-6555 · Cited by 53 · see citing works
Wang, W., Li, S., Ren, G., Zheng, W., Lu, Y., Yu, Y.-H., Xu, W.-J., Li, T.-H., Zhou, L., Liu, Y., et al. (2014) · Endocrine · doi:10.1007/s12020-014-0433-5 · Cited by 52 · see citing works
on behalf of the NSHD Scientific and Data Collection Team, Bann, D., Wills, A. K., Cooper, R., Hardy, R., Sayer, A. A., Adams, J. E., & Kuh, D. J. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.115 · Cited by 49 · see citing works
Wu, F., Wu, C. C., Kuo, P.-L., & Wu, M.-T. (2016) · BMC Cardiovascular Disorders · doi:10.1186/s12872-016-0195-5 · Cited by 49 · see citing works
Insulin/IGF Axis in Breast Cancer: Clinical Evidence and Translational Insights
Biello, F., Platini, F., D’Avanzo, F., Cattrini, C., Mennitto, A., Genestroni, S., Martini, V., Marzullo, P., Aimaretti, G., & Gennari, A. (2021) · Biomolecules · doi:10.3390/biom11010125 · Cited by 49 · see citing works
Aurpibul, L., Namwongprom, S., Sudjaritruk, T., & Ounjaijean, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0230707 · Cited by 48 · see citing works
The relationships of irisin with bone mineral density and body composition in PCOS patients
Gao, S., Cheng, Y., Zhao, L., Chen, Y., & Liu, Y. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2767 · Cited by 48 · see citing works
Lee, D., Lee, M., & Sung, K. (2018) · Obesity · doi:10.1002/oby.22193 · Cited by 48 · see citing works
Association of regional body fat with metabolic risks in Chinese women
Fu, X., Song, A., Zhou, Y., Ma, X., Jiao, J., Yang, M., & Zhu, S. (2013) · Public Health Nutrition · doi:10.1017/s1368980013002668 · Cited by 46 · see citing works
Bennett, J. P., & Lim, S. K. (2025) · Journal of Obesity & Metabolic Syndrome · doi:10.7570/jomes25010 · Cited by 45 · see citing works
Self-citationOrnellas, F., Souza‐Mello, V., Mandarim‐de‐Lacerda, C. A., & Águila, M. B. (2013) · Life Sciences · doi:10.1016/j.lfs.2013.08.005 · Cited by 45 · see citing works
Sari, C. I., Eikelis, N., Head, G. A., Schlaich, M. P., Meikle, P. J., Lambert, G. W., & Lambert, É. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01162 · Cited by 44 · see citing works
Visceral Adipose Tissue Quantification Using Lunar Prodigy
Ergun, D. L., Rothney, M. P., Oates, M. K., Xia, Y., Wacker, W. K., & Binkley, N. (2012) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2012.09.002 · Cited by 44 · see citing works
Staatz, C. B., Kelly, Y. J., Lacey, R. E., Blodgett, J. M., George, A., Arnot, M., Walker, E. S., & Hardy, R. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00898-z · Cited by 43 · see citing works
Triggiani, A. I., Valenzano, A. A., Trimigno, V., Palma, A. M. D., Moscatelli, F., Cibelli, G., & Messina, G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223058 · Cited by 42 · see citing works
Endukuru, C. K., Gaur, G. S., Yerrabelli, D., Sahoo, J., & Vairappan, B. (2021) · Diabetology International · doi:10.1007/s13340-021-00522-5 · Cited by 41 · see citing works
Martin, F., Montoliu, I., Collino, S., Scherer, M., Guy, P. A., Tavazzi, I., Thorimbert, A., Moco, S., Rothney, M. P., Ergun, D. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073445 · Cited by 41 · see citing works
Staatz, C. B., Kelly, Y. J., Lacey, R. E., Blodgett, J. M., George, A., Arnot, M., Walker, E. S., & Hardy, R. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00899-y · Cited by 41 · see citing works
Loy, J. J., Youn, H. A., Schwack, B., Kurian, M., Ren Fielding, C., & Fielding, G. A. (2015) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2014.11.010 · Cited by 39 · see citing works
Kim, Y., Cho, K.-H., Choi, Y. S., Kim, S. M., Nam, G. E., Lee, S., Ko, B.-J., Park, Y. G., Han, K., Lee, K. S., et al. (2013) · Archives of Osteoporosis · doi:10.1007/s11657-013-0142-3 · Cited by 37 · see citing works
Self-citationBringhenti, I., Ornellas, F., Mandarim‐de‐Lacerda, C. A., & Águila, M. B. (2016) · Nutrition · doi:10.1016/j.nut.2016.03.001 · Cited by 37 · see citing works
Zhao, W., Tong, J., Li, J., & Cao, Y. (2021) · International Journal of Endocrinology · doi:10.1155/2021/4535983 · Cited by 36 · see citing works
Forte, R., Pesce, C., VITO, G. D., & Boreham, C. A. (2016) · The journal of nutrition health & aging · doi:10.1007/s12603-016-0783-1 · Cited by 35 · see citing works
Workeneh, B., Moore, L. W., Fong, J. N., Shypailo, R. J., Gaber, A. O., & Mitch, W. E. (2019) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2019.01.009 · Cited by 35 · see citing works
Bouchi, R., Nakano, Y., Ohara, N., Takeuchi, T., Murakami, M., Asakawa, M., Sasahara, Y., Numasawa, M., Minami, I., Izumiyama, H., et al. (2016) · Cardiovascular Diabetology · doi:10.1186/s12933-016-0384-7 · Cited by 33 · see citing works
Liu, P. J., Ma, F., Lou, H. P., & Zhu, Y. N. (2016) · Public Health Nutrition · doi:10.1017/s1368980016003281 · Cited by 33 · see citing works
Zong, J., Sun, Y., Zhang, Y., Yuan, J., Wang, X., Zhang, R., Zhao, X., Zhao, X., & Gu, Y. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s260891 · Cited by 33 · see citing works
Liu, P. J., Ma, F., Lou, H. P., & Zhu, Y. N. (2016) · Climacteric · doi:10.1080/13697137.2016.1202229 · Cited by 32 · see citing works
Assessing the relationship between a body shape index and mortality in a group of middle-aged men
He, S., Zheng, Y., Wang, H., & Chen, X. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.09.003 · Cited by 32 · see citing works
True, C. A., Takahashi, D. L., Burns, S. E., Mishler, E., Bond, K., Wilcox, M. C., Calhoun, A. R., Bader, L., Dean, T. A., Ryan, N. D., et al. (2017) · Human Reproduction · doi:10.1093/humrep/dex246 · Cited by 32 · see citing works
Preferential deposition of visceral adipose tissue occurs due to physical inactivity
Belavý, D. L., Möhlig, M., Pfeiffer, A. F. H., Felsenberg, D., & Armbrecht, G. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.26 · Cited by 31 · see citing works
Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women
Andreozzi, P., Verrusio, W., Viscogliosi, G., Summa, M. L., Gueli, N., Cacciafesta, M., & Albanese, C. V. (2015) · Nutrition · doi:10.1016/j.nut.2015.12.029 · Cited by 30 · see citing works
Xiao, Z., Tan, Z., Shang, J., Cheng, Y., Tang, Y., Guo, B., Gong, J., & Xu, H. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-032268 · Cited by 29 · see citing works
Zhao, E., Wen, X., Qiu, W., & Zhang, C. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23429 · Cited by 28 · see citing works
Rasaei, N., Mirzababaei, A., Arghavani, H., Tajik, S., Keshavarz, S. A., Yekaninejad, M. S., Imani, H., & Mirzaei, K. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.06.023 · Cited by 27 · see citing works
The effects of exercise and diet program in overweight people – Nordic walking versus walking
Muollo, V., Rossi, A. P., Milanese, C., Masciocchi, E., Taylor, M., Zamboni, M. M., da Rosa, R. G., Schena, F. F., & Pellegrini, B. (2019) · Clinical Interventions in Aging · doi:10.2147/cia.s217570 · Cited by 27 · see citing works
Lee, J., FREELAND-GRAVES, J. H., Pepper, M. R., Stanforth, P. R., & Xu, B. (2015) · Journal of the American College of Nutrition · doi:10.1080/07315724.2014.966396 · Cited by 27 · see citing works
Lean Body Mass as a Predictive Value of Hypertension in Young Adults, in Ankara, Turkey.
Vaziri, Y., Bulduk, S., Shadman, Z., Bulduk, E. Ö., Hedayati, M., Koc, H., Er, F., & Suveren, C. (2015) · PubMed Central · Cited by 27 · see citing works
Intermittent Fasting: Myths, Fakes and Truth on This Dietary Regimen Approach
Brogi, S., Tabanelli, R., Puca, S., & Calderone, V. (2024) · Foods · doi:10.3390/foods13131960 · Cited by 26 · see citing works
Intermittent Fasting: Myths, Fakes and Truth on this Dietary Regimen Approach
Brogi, S., Tabanelli, R., Puca, S., & Calderone, V. (2024) · doi:10.20944/preprints202405.1820.v1 · Cited by 26 · see citing works
Association of body indices and risk of mortality in patients with type 2 diabetes
Li, C., Liu, C.-S., Lin, C., Yang, S.-Y., Li, T., & Lin, C. (2023) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2023-003474 · Cited by 25 · see citing works
Martin, F., Montoliu, I., Collino, S., Scherer, M., Guy, P. A., Tavazzi, I., Thorimbert, A., Moco, S., Rothney, M. P., Ergun, D. L., et al. (2013) · PLoS ONE · doi:10.1371/annotation/1c88ae20-07d1-4fda-8cd8-058d95af057d · Cited by 25 · see citing works
Ma, W., Zhu, H., Yu, X., Zhai, X., Li, S., Huang, N. H., Liu, K., Shirai, K., Sheerah, H. A., & Cao, J. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1055223 · Cited by 27 · see citing works
Zhang, K., Zhao, Q., Li, Y., Zhen, Q., Yu, Y., Tao, Y., Cheng, Y., & Liu, Y. (2018) · Lipids in Health and Disease · doi:10.1186/s12944-017-0648-6 · Cited by 24 · see citing works
Lu, Y.-C., Lin, Y. C., Yen, A. M., & Chan, W. P. (2019) · Scientific Reports · doi:10.1038/s41598-019-53557-9 · Cited by 24 · see citing works
Pastika, L., Sau, A., Patlatzoglou, K., Sieliwończyk, E., Ribeiro, A. H., McGurk, K. A., Khan, S. N., Mandic, D. P., Scott, W. R., Ware, J. S., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01170-0 · Cited by 23 · see citing works
He, Z., Li, M.-D., Liu, C.-J., & Ma, X. (2021) · Archives of Public Health · doi:10.1186/s13690-021-00526-2 · Cited by 23 · see citing works
Cardiometabolic effects of SGLT2 inhibitors on polycystic ovary syndrome
Lempesis, I. G., Apple, S. J., Duarte, G., Palaiodimos, L., Kalaitzopoulos, D. R., Dalamaga, Μ., & Kokkinidis, D. G. (2023) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3682 · Cited by 23 · see citing works
Al-Shami, I. K., Alkhalidy, H., Alnaser, K., Mukattash, T. L., Hourani, H. M. A., Alzboun, T., Orabi, A., & Liu, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-25005-8 · Cited by 22 · see citing works
Hariri, A. A., Oliver, N. S., Johnston, D. G., Stevenson, J. C., & Godsland, I. F. (2013) · Disease Markers · doi:10.1155/2013/763907 · Cited by 21 · see citing works
Ciardullo, S., Zerbini, F., Cannistraci, R., Muraca, E., Perra, S., Oltolini, A., & Perseghin, G. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12144783 · Cited by 20 · see citing works
Glass, N. A., Torner, J. C., Letuchy, E. M., Burns, T. L., Janz, K. F., Gilmore, J. M. E., Schlechte, J., & Levy, S. M. (2017) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3325 · Cited by 20 · see citing works
Dumuid, D., Fernández, J. A. M., Ellul, S., Kenett, R. S., Wake, M. A., Simm, P. J., Baur, L. A., & Olds, T. (2020) · Statistical Methods in Medical Research · doi:10.1177/0962280220955221 · Cited by 20 · see citing works
Holliday, A., Burgin, A., Fernandez, E. V., Fenton, S. A. M., Thielecke, F., & Blannin, A. K. (2018) · BMC Public Health · doi:10.1186/s12889-018-5125-2 · Cited by 21 · see citing works
Khanmohammadi, S., Fallahtafti, P., Habibzadeh, A., Ezzatollahi Tanha, A., Alamdari, A. A., Fallahtafti, P., & Shafi Kuchay, M. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02544-3 · Cited by 19 · see citing works
“However, its limitations include the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts [12].”
Anthropometric and DXA-derived measures of body composition in relation to pre-diabetes among adults
Mohammad, A., Ziyab, A. H., & Mohammad, T. (2023) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2023-003412 · Cited by 18 · see citing works
Android fat as a determinant of metabolic syndrome: Sex differences
Bi, X., Loo, Y. T., & Henry, C. J. (2018) · Nutrition · doi:10.1016/j.nut.2018.05.016 · Cited by 18 · see citing works
Balat, K., Pazarlı, A. C., Köseoğlu, H. İ., Yaşayancan, N., & Demir, O. (2020) · Turkish Thoracic Journal · doi:10.5152/turkthoracj.2020.19105 · Cited by 18 · see citing works
Maeda, S. S., Albergaria, B., Szejnfeld, V. L., Lazaretti‐Castro, M., Arantes, H. P., Ushida, M., Domiciano, D. S., Pereira, R. M. R., Marin-Mio, R. V., de Oliveira, M. L., et al. (2022) · Revista Brasileira de Reumatologia · doi:10.1186/s42358-022-00240-9 · Cited by 22 · see citing works
Buckinx, F., Carvalho, L. P., Marcangeli, V., Dulac, M., Hajj Boutros, G., Gouspillou, G., Gaudreau, P., Noirez, P., & Aubertin‐Leheudre, M. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.111036 · Cited by 18 · see citing works
Staatz, C. B., & Hardy, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0209529 · Cited by 17 · see citing works
- Authors
- Kang, S. M., Yoon, J. W., Ahn, H. Y., Kim, S. Y., Lee, K. H., Shin, H., Choi, S. H., Park, K. S., Jang, H. C., & Lim, S.
- Affiliations
- Seoul National University (KR)
- Johns Hopkins University (US)
- Corresponding author
- Lim, Soo
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-11-11
- Volume
- 6
- Issue
- 11
- Pages
- e27694
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3214067
- OpenAlex
- W2065997993
- Cited by
- 197
- References
- 47
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 9 · 2023: 12 · 2022: 18 · 2021: 13 · 2020: 16 · 2019: 16 · 2018: 18 · 2017: 14 · 2016: 14 · 2015: 11 · 2014: 16 · 2013: 15 · 2012: 6
- FWCI
- 8.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Korean Diabetes Association
- Seoul National University Bundang Hospital
- Seoul National University
- Topics
- Health Sciences › Medicine › Physiology › 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
- android fat, gynoid fat, visceral adipose tissue, subcutaneous adipose tissue, metabolic syndrome, regional body composition, body fat distribution, older adults, adiponectin, high-sensitivity CRP, insulin resistance
- MeSH terms
- Adipose Tissue, Aged, Aged, 80 and over, Female, Humans, Male, Obesity, Absorptiometry, Photon, Coronary Stenosis, Metabolic Syndrome, Subcutaneous Fat, Intra-Abdominal Fat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review