|
[1]
|
Phelps, N.H., Singleton, R.K., Zhou, B., Heap, R.A., Mishra, A., Bennett, J.E., et al. (2024) Worldwide Trends in Underweight and Obesity from 1990 to 2022: A Pooled Analysis of 3663 Population-Representative Studies with 222 Million Children, Adolescents, and Adults. The Lancet, 403, 1027-1050. https://doi.org/10.1016/s0140-6736(23)02750-2
|
|
[2]
|
Pan, X., Fang, Z., Zhang, L. and Pan, A. (2026) Obesity in China: Current Progress and Future Prospects. The Lancet Diabetes & Endocrinology, 14, 178-186. https://doi.org/10.1016/s2213-8587(25)00357-2
|
|
[3]
|
WHO Expert Committee (1995) Physical Status: The Use and Interpretation of Anthropometry. World Health Organization Technical Report Series, 854, 452. https://extranet.who.int/prequal/content/who-technical-report-series
|
|
[4]
|
Keys, A., Fidanza, F., Karvonen, M.J., Kimura, N. and Taylor, H.L. (2014) Indices of Relative Weight and Obesity. International Journal of Epidemiology, 43, 655‑65. https://doi.org/10.1093/ije/dyu058
|
|
[5]
|
Pan, W.H. and Yeh, W.T. (2008) How to Define Obesity? Evidence-Based Multiple Action Points for Public Awareness, Screening, and Treatment: An Extension of Asian-Pacific Recommendations. Asia Pacific Journal of Clinical Nutrition, 17, 370-374. http://apjcn.nhri.org.tw/index.php
|
|
[6]
|
Rubino, F., Cummings, D.E., Eckel, R.H., Cohen, R.V., Wilding, J.P.H., Brown, W.A., et al. (2025) Definition and Diagnostic Criteria of Clinical Obesity. The Lancet Diabetes & Endocrinology, 13, 221-262. https://doi.org/10.1016/s2213-8587(24)00316-4
|
|
[7]
|
Busetto, L., Dicker, D., Frühbeck, G., Halford, J.C.G., Sbraccia, P., Yumuk, V., et al. (2024) A New Framework for the Diagnosis, Staging and Management of Obesity in Adults. Nature Medicine, 30, 2395-2399. https://doi.org/10.1038/s41591-024-03095-3
|
|
[8]
|
Ross, R., Neeland, I.J., Yamashita, S., Shai, I., Seidell, J., Magni, P., et al. (2020) Waist Circumference as a Vital Sign in Clinical Practice: A Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology, 16, 177-189. https://doi.org/10.1038/s41574-019-0310-7
|
|
[9]
|
De Lorenzo, A., Gualtieri, P., Frank, G., Palma, R., Cianci, R., Romano, L., et al. (2025) Normal Weight Obesity Overview and Update: A Narrative Review. Current Obesity Reports, 14, Article No. 50. https://doi.org/10.1007/s13679-025-00641-z
|
|
[10]
|
Cota, B.C., Ribeiro, S.A.V., Priore, S.E., Juvanhol, L.L., de Faria, E.R., de Faria, F.R., et al. (2021) Anthropometric and Body Composition Parameters in Adolescents with the Metabolically Obese Normal-Weight Phenotype. British Journal of Nutrition, 127, 1458-1466. https://doi.org/10.1017/s0007114521002427
|
|
[11]
|
Lee, J., Min, S., Oh, S., Oh, S., Lee, Y., Kwon, H., et al. (2023) Association of Intraabdominal Fat with the Risk of Incident Chronic Kidney Disease According to Body Mass Index among Korean Adults. PLOS ONE, 18, e0280766. https://doi.org/10.1371/journal.pone.0280766
|
|
[12]
|
Tchernof, A. and Després, J. (2013) Pathophysiology of Human Visceral Obesity: An Update. Physiological Reviews, 93, 359-404. https://doi.org/10.1152/physrev.00033.2011
|
|
[13]
|
Jayedi, A., Soltani, S., Motlagh, S.Z., Emadi, A., Shahinfar, H., Moosavi, H., et al. (2022) Anthropometric and Adiposity Indicators and Risk of Type 2 Diabetes: Systematic Review and Dose-Response Meta-Analysis of Cohort Studies. BMJ, 376, e067516. https://doi.org/10.1136/bmj-2021-067516
|
|
[14]
|
Powell-Wiley, T.M., Poirier, P., Burke, L.E., Després, J., Gordon-Larsen, P., Lavie, C.J., et al. (2021) Obesity and Cardiovascular Disease: A Scientific Statement from the American Heart Association. Circulation, 143, e984-e1010. https://doi.org/10.1161/cir.0000000000000973
|
|
[15]
|
Morys, F., Dadar, M. and Dagher, A. (2021) Association between Midlife Obesity and Its Metabolic Consequences, Cerebrovascular Disease, and Cognitive Decline. The Journal of Clinical Endocrinology & Metabolism, 106, e4260-e4274. https://doi.org/10.1210/clinem/dgab135
|
|
[16]
|
Di Angelantonio, E., Bhupathiraju, S.N., Wormser, D., Gao, P., Kaptoge, S., de Gonzalez, A.B., et al. (2016) Body-Mass Index and All-Cause Mortality: Individual-Participant-Data Meta-Analysis of 239 Prospective Studies in Four Continents. The Lancet, 388, 776-786. https://doi.org/10.1016/s0140-6736(16)30175-1
|
|
[17]
|
Erdoğan, O., Erdoğan, T., Önür, N.H., Özkök, S., Karan, M.A. and Bahat, G. (2025) Beyond BMI: Central Obesity Measures and Cardiovascular Risk in Late Life. Aging Clinical and Experimental Research, 37, Article No. 287. https://doi.org/10.1007/s40520-025-03197-z
|
|
[18]
|
Zeng, Q., Dong, S.Y., Sun, X.N., et al. (2018) Percent Body Fat Is a Better Predictor of Cardiovascular Risk Factors than Body Mass Index in Chinese Non-Obese Adults. European Journal of Nutrition, 57, 2557-2568.
|
|
[19]
|
WHO Expert Consultation (2004) Appropriate Body-Mass Index for Asian Populations and Its Implications for Policy and Intervention Strategies. Lancet (London, England), 363, 157-163. https://doi.org/10.1016/S0140-6736(03)15268-3
|
|
[20]
|
Choe, H.J., Després, J., Wilding, J.P.H., Ryan, D.H. and Lim, S. (2026) Clinical and Preclinical Obesity in Korean Adults from 2014 to 2023. Diabetes & Metabolism Journal, 50, 127-138. https://doi.org/10.4093/dmj.2025.0697
|
|
[21]
|
Zahid, S., Yao, Z., Grimes, S.N., Kim, A., Peng, A.W., Blumenthal, R.S., et al. (2026) Epidemiology and Natural History of Preclinical and Clinical Obesity: Insights from a UK Cohort. Obesity, 34, 738-747. https://doi.org/10.1002/oby.70126
|
|
[22]
|
Wang, Z., Du, W., Wei, X., Li, S., Zhang, J., Ju, L., et al. (2026) Clinical Obesity among Chinese Adults: Prevalence, Multimorbidity Burden, and Associations with Physical Activity. Nutrients, 18, Article No. 983. https://doi.org/10.3390/nu18060983
|
|
[23]
|
Wu, R., Li, M., Liao, Y., Zhang, J., Xu, C. and Yan, X. (2025) Prevalence and Characteristics of Sarcopenic Obesity and Normal Weight Obesity in Chinese Women: A Cross-Sectional Study Based on Body Fat Percentage. BMC Public Health, 25, Article No. 2817. https://doi.org/10.1186/s12889-025-24086-0
|
|
[24]
|
Leitzmann, M.F., Stein, M.J., Baurecht, H. and Freisling, H. (2025) Excess Adiposity and Cancer: Evaluating a Preclinical-Clinical Obesity Framework for Risk Stratification. eClinicalMedicine, 83, Article ID: 103247. https://doi.org/10.1016/j.eclinm.2025.103247
|
|
[25]
|
Ward, L.C. (2018) Bioelectrical Impedance Analysis for Body Composition Assessment: Reflections on Accuracy, Clinical Utility, and Standardisation. European Journal of Clinical Nutrition, 73, 194-199. https://doi.org/10.1038/s41430-018-0335-3
|
|
[26]
|
Gallagher, D., Heymsfield, S.B., Heo, M., Jebb, S.A., Murgatroyd, P.R. and Sakamoto, Y. (2000) Healthy Percentage Body Fat Ranges: An Approach for Developing Guidelines Based on Body Mass Index. The American Journal of Clinical Nutrition, 72, 694-701. https://doi.org/10.1093/ajcn/72.3.694
|
|
[27]
|
Zeng, Q., Dong, S., Sun, X., Xie, J. and Cui, Y. (2012) Percent Body Fat Is a Better Predictor of Cardiovascular Risk Factors than Body Mass Index. Brazilian Journal of Medical and Biological Research, 45, 591-600. https://doi.org/10.1590/s0100-879x2012007500059
|
|
[28]
|
Gu, D., Reynolds, K., Wu, X., Chen, J., Duan, X., Reynolds, R.F., et al. (2005) Prevalence of the Metabolic Syndrome and Overweight among Adults in China. The Lancet, 365, 1398-1405. https://doi.org/10.1016/s0140-6736(05)66375-1
|
|
[29]
|
Flegal, K.M., Graubard, B.I. and Yi, S. (2017) Comparative Effects of the Restriction Method in Two Large Observational Studies of Body Mass Index and Mortality among Adults. European Journal of Clinical Investigation, 47, 415-421. https://doi.org/10.1111/eci.12756
|
|
[30]
|
Lv, M., Li, Y., Guo, Z., Ma, L. and Zhang, L. (2025) Bidirectional Associations between Adiposity and Mental Health: A Prospective Cohort Study of the UK Biobank. Obesity, 33, 1195-1206. https://doi.org/10.1002/oby.24296
|
|
[31]
|
Wang, T., Zhang, L., Chen, P., Chen, C., Xu, L. and Guo, M. (2025) Weight-Adjusted Waist Index Outperforms Other Obesity Indices for Cardiovascular Disease Prediction in Cardiovascular-Kidney-Metabolic Syndrome: Insights from UK Biobank. BMC Public Health, 26, Article No. 160. https://doi.org/10.1186/s12889-025-25830-2
|
|
[32]
|
Suthahar, N., Lau, E.S. and Savarese, G. (2025) Relative Fat Mass: Refining Adiposity Measurement in the Era beyond Body Mass Index. Current Heart Failure Reports, 22, Article No. 22. https://doi.org/10.1007/s11897-025-00709-w
|
|
[33]
|
Tomiyama, A.J., Carr, D., Granberg, E.M., Major, B., Robinson, E., Sutin, A.R., et al. (2018) How and Why Weight Stigma Drives the Obesity “Epidemic” and Harms Health. BMC Medicine, 16, Article No. 123. https://doi.org/10.1186/s12916-018-1116-5
|
|
[34]
|
Woolcott, O.O. and Bergman, R.N. (2020) Defining Cutoffs to Diagnose Obesity Using the Relative Fat Mass (RFM): Association with Mortality in NHANES 1999-2014. International Journal of Obesity, 44, 1301-1310. https://doi.org/10.1038/s41366-019-0516-8
|
|
[35]
|
Santhanam, P., Nath, T., Peng, C., Bai, H., Zhang, H., Ahima, R.S., et al. (2023) Artificial Intelligence and Body Composition. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 17, Article ID: 102732. https://doi.org/10.1016/j.dsx.2023.102732
|
|
[36]
|
Park, M.J. and Choi, K.M. (2023) Interplay of Skeletal Muscle and Adipose Tissue: Sarcopenic Obesity. Metabolism, 144, Article ID: 155577. https://doi.org/10.1016/j.metabol.2023.155577
|