Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis

Introduction to Meta‐Analysis

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2020 International Society of Hypertension Global Hypertension Practice Guidelines

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Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity

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American Association of Clinical Endocrinologists and American College of Endocrinology Comprehensive Clinical Practice Guidelines For Medical Care of Patients with Obesity

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Clinical practice guidelines for the perioperative nutritional, metabolic, and nonsurgical support of the bariatric surgery patient—2013 update: Cosponsored by american association of clinical endocrinologists, The obesity society, and american society for metabolic & bariatric surgery*

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2020 International Society of Hypertension global hypertension practice guidelines

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Management of obesity

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Clinical practice guidelines for the perioperative nutrition, metabolic, and nonsurgical support of patients undergoing bariatric procedures – 2019 update: cosponsored by American Association of Clinical Endocrinologists/American College of Endocrinology, The Obesity Society, American Society for Metabolic & Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists

Mechanick, J. I., Apovian, C., Brethauer, S., Garvey, W. T., Joffe, A. M., Kim, J., Kushner, R. F., Lindquist, R., Pessah-Pollack, R., Seger, J., et al. (2020) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2019.10.025 · Cited by 608 · see citing works

Clinical Practice Guidelines For The Perioperative Nutrition, Metabolic, and Nonsurgical Support of Patients Undergoing Bariatric Procedures – 2019 Update: Cosponsored By American Association of Clinical Endocrinologists/American College of Endocrinology, The Obesity Society, American Society For Metabolic & Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists

Mechanick, J. I., Apovian, C., Brethauer, S., Garvey, W. T., Joffe, A. M., Kim, J., Kushner, R. F., Lindquist, R., Pessah-Pollack, R., Seger, J., et al. (2019) · Endocrine Practice · doi:10.4158/gl-2019-0406 · Cited by 510 · see citing works

A new framework for the diagnosis, staging and management of obesity in adults

Busetto, L., Dicker, D., Frühbeck, G., Halford, J. C. G., Sbraccia, P., Yumuk, V., & Goossens, G. H. (2024) · Nature Medicine · doi:10.1038/s41591-024-03095-3 · Cited by 501 · see citing works

Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals

Woolcott, O. O., & Bergman, R. N. (2018) · Scientific Reports · doi:10.1038/s41598-018-29362-1 · Cited by 399 · see citing works

Clinical Practice Guidelines For The Perioperative Nutritional, Metabolic, And Nonsurgical Support Of The Bariatric Surgery Patient2013 Update: Cosponsored By American Association Of Clinical Endocrinologists, The Obesity Society, And American Society For Metabolic & Bariatric Surgery

Mechanick, J. I., Youdim, A., Jones, D. B., Garvey, W. T., Hurley, D. L., McMahon, M. M., Heinberg, L. J., Kushner, R., Adams, T. D., Shikora, S., et al. (2013) · Endocrine Practice · doi:10.4158/ep12437.gl · Cited by 395 · see citing works

Comparison of Body Mass Index (BMI), Body Adiposity Index (BAI), Waist Circumference (WC), Waist-To-Hip Ratio (WHR) and Waist-To-Height Ratio (WHtR) as Predictors of Cardiovascular Disease Risk Factors in an Adult Population in Singapore

Lam, B. C. C., Koh, G. C. H., Chen, C., Wong, M. T. K., & Fallows, S. J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0122985 · Cited by 338 · see citing works

The Executive Functions in Overweight and Obesity: A Systematic Review of Neuropsychological Cross-Sectional and Longitudinal Studies

Favieri, F., Forte, G., & Casagrande, M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02126 · Cited by 170 · see citing works

Body-mass index and diabetes risk in 57 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 685 616 adults

Teufel, F., Seiglie, J. A., Geldsetzer, P., Theilmann, M., Marcus, M. E., Ebert, C., Arboleda, W. A. L., Agoudavi, K., Andall-Brereton, G., Aryal, K. K., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00844-8 · Cited by 159 · see citing works

Sarcopenic obesity research perspectives outlined by the sarcopenic obesity global leadership initiative (SOGLI)—Proceedings from the SOGLI consortium meeting in rome November 2022

Gortan Cappellari, G., Guillet, C., Poggiogalle, E., Ballesteros Pomar, M. D., Batsis, J. A., Boirie, Y., Breton, I., Frara, S., Genton, L., Gepner, Y., et al. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.02.018 · Cited by 113 · see citing works

Relationship between Maternal Central Obesity and the Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of Cohort Studies

Yao, D., Chang, Q., Wu, Q.-J., Gao, S.-Y., Zhao, H., Liu, Y.-S., Jiang, Y.-T., & Zhao, Y.-H. (2020) · Journal of Diabetes Research · doi:10.1155/2020/6303820 · Cited by 106 · see citing works

Body Composition in Asians and Caucasians

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Defining cutoffs to diagnose obesity using the relative fat mass (RFM): Association with mortality in NHANES 1999–2014

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Child Eating Behaviors and Caregiver Feeding Practices in Children with Autism Spectrum Disorders

Kral, T. V. E., Souders, M. C., Tompkins, V. H., Remiker, A. M., Eriksen, W. T., & Pinto‐Martin, J. A. (2015) · Public Health Nursing · doi:10.1111/phn.12146 · Cited by 90 · see citing works

Body composition indices of a load-capacity model: gender- and BMI-specific reference curves

Siervo, M., Prado, C. M., Mire, E., Broyles, S., Wells, J. C., Heymsfield, S., & Katzmarzyk, P. T. (2015) · Public Health Nutrition · doi:10.1017/s1368980014001918 · Cited by 86 · see citing works

Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009

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Waist-to-height ratio index for predicting incidences of hypertension: the ARIRANG study

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Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults

Pasdar, Y., Moradi, S., Moludi, J., Saiedi, S., Moradinazar, M., Hamzeh, B., Jafarabadi, M. A., & Najafi, F. (2020) · Scientific Reports · doi:10.1038/s41598-020-73224-8 · Cited by 64 · see citing works

Oral resveratrol supplementation improves metabolic syndrome features in obese patients submitted to a lifestyle-changing program

Batista-Jorge, G. C., Barcala-Jorge, A. S., Silveira, M. F., Lelis, D. F., Andrade, J. M. O., de Paula, A. M. B., Guimarães, A. L. S., & Santos, S. H. S. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.117962 · Cited by 55 · see citing works

Waist-to-height ratio and metabolic phenotype compared to the Matsuda index for the prediction of insulin resistance

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Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study

Jamar, G., Almeida, F. R. D., Gagliardi, A., Sobral, M. R., Ping, C. T., Sperandio, E., Romiti, M., Arantes, R., & Dourado, V. Z. (2017) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2016.0358280417 · Cited by 38 · see citing works

Novel Multi-Ingredient Supplement Facilitates Weight Loss and Improves Body Composition in Overweight and Obese Individuals: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial

Nederveen, J. P., Mastrolonardo, A. J., Xhuti, D., Di Carlo, A., Manta, K., Fuda, M. R., & Tarnopolsky, M. A. (2023) · Nutrients · doi:10.3390/nu15173693 · Cited by 33 · see citing works

Reference Values for Waist Circumference and Waist–Height Ratio in Korean Children and Adolescents

Lee, J., Kang, S.-C., Kwon, O., Hwang, S.-S., Moon, J. S., & Kim, J. (2022) · Journal of Obesity & Metabolic Syndrome · doi:10.7570/jomes22033 · Cited by 33 · see citing works

Qualitative muscle mass index as a predictor of skeletal muscle function deficit in <scp>A</scp>sian older adults

Chang, J. S., Kim, T. H., Kim, H., Choi, E. H., Kim, N., & Kong, I. D. (2017) · Geriatrics &amp; Gerontology International · doi:10.1111/ggi.12681 · Cited by 21 · see citing works

Body roundness index ( <scp>BRI</scp> ) and obesity‐related anthropometrics: Relationship to visceral adiposity, insulin sensitivity index and cardiometabolic risk

Eng, P. C., Teo, A. E. D., Leow, M. K. S., Tai, E. S., & Khoo, C. M. (2025) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.16601 · Cited by 22 · see citing works

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies.

Al-Hussaini, I., Nakajima An, D., Lee, A. J., Bi, S., & Mitchell, C. S. (2022) · 2022 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata55660.2022.10020807 · Cited by 10 · see citing works