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

Obesity reviews, 2012-03, Vol.13 (3), p.275-286

2012

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Predictive Ability of Hypertriglyceridemic Waist, Hypertriglyceridemic Waist-to-Height Ratio, and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents

Biomedical and environmental sciences, 2024-04, Vol.37 (3), p.233-241

2024

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Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes

Diabetes research and clinical practice, 2022-01, Vol.183, p.109151-109151, Article 109151

2022

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Waist-to-height ratio, body mass index and waist circumference for screening paediatric cardio-metabolic risk factors: a meta-analysis

Obesity reviews, 2016-12, Vol.17 (12), p.1258-1275

2016

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Hypertriglyceridemic waist phenotype, hypertriglyceridemic waist-to-height ratio phenotype and abnormal glucose metabolism in adolescents

Diabetes research and clinical practice, 2023-04, Vol.198, p.110622-110622, Article 110622

2023

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Body mass index, waist circumference and waist–hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual‐participant meta‐analysis of 82 864 participants from nine cohort studies

Obesity reviews, 2011-09, Vol.12 (9), p.680-687

2011

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Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II Study

Alzheimer's & dementia, 2018-02, Vol.14 (2), p.178-186

2018

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CD36 polymorphism, sugary drinks, and sedentarism are associated with hypertriglyceridemic waist phenotype

International journal for vitamin and nutrition research, 2024-02, Vol.94 (1), p.37-44

2024

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Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk

Scandinavian journal of medicine & science in sports, 2017-11, Vol.27 (11), p.1470-1476

2017

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Anthropometry and the Risk of Lung Cancer in EPIC

American journal of epidemiology, 2016-07, Vol.184 (2), p.129-139

2016

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Growth and socio-economic status, influence on the age at menarche in school going girls

Journal of adolescence (London, England.), 2021-01, Vol.86 (1), p.40-53

2021

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Central obesity and risks of pre- and postmenopausal breast cancer: a dose-response meta-analysis of prospective studies

Obesity reviews, 2016-11, Vol.17 (11), p.1167-1177

2016

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Anthropometric and adiposity indicators and risk of type 2 diabetes: systematic review and dose-response meta-analysis of cohort studies

BMJ (Online), 2022-01, Vol.376, p.e067516

2022

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The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent

European heart journal, 2018-05, Vol.39 (17), p.1514-1520

2018

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Association between the abdominal obesity anthropometric indicators and metabolic disorders in a Chinese population

Public health (London), 2016-02, Vol.131, p.3-10

2016

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Anthropometric factors and endometrial cancer risk: a systematic review and dose–response meta-analysis of prospective studies

Annals of oncology, 2015-08, Vol.26 (8), p.1635-1648

2015

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Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies

American journal of human genetics, 2015-02, Vol.96 (2), p.329-339

2015

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Body mass index, waist circumference and waist-hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual-participant meta-analysis of 82864 participants from nine cohort studies

Obesity reviews, 2011-09, Vol.12 (9), p.680-687

2011

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Identification of the most appropriate existing anthropometric index for home-based obesity screening in children and adolescents

Public health (London), 2020-12, Vol.189, p.20-25

2020

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The “hyper-triglyceridemic waist phenotype” is a reliable marker for prediction of accumulation of abdominal visceral fat in Chinese adults

Eating and weight disorders, 2020-06, Vol.25 (3), p.719-726

2020

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Anthropometric indicators and cardiovascular diseases risk in pre-diabetic and diabetic adults: NHANES 1999–2018 cross-sectional analysis

Experimental gerontology, 2024-09, Vol.194, p.112516, Article 112516

2024

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The association between hypertriglyceridemic-waist phenotype and chronic kidney disease: a cohort study and meta-analysis

Scientific reports, 2022-02, Vol.12 (1), p.1935-1935, Article 1935

2022

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Waist-to-Height Ratio is an Accurate and Easier Index for Evaluating Obesity in Children and Adolescents

Obesity (Silver Spring, Md.), 2007-03, Vol.15 (3), p.748-752

2007

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Predictive capacity of obesity indices for high blood pressure among southern Ethiopian adult population: a WHO STEPS survey

BMC cardiovascular disorders, 2020-09, Vol.20 (1), p.421-421, Article 421

2020

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

Predictive Ability of Hypertriglyceridemic Waist, Hypertriglyceridemic Waist-to-Height Ratio, and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents

Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes

Waist-to-height ratio, body mass index and waist circumference for screening paediatric cardio-metabolic risk factors: a meta-analysis

Hypertriglyceridemic waist phenotype, hypertriglyceridemic waist-to-height ratio phenotype and abnormal glucose metabolism in adolescents

Body mass index, waist circumference and waist–hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual‐participant meta‐analysis of 82 864 participants from nine cohort studies

Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II Study

CD36 polymorphism, sugary drinks, and sedentarism are associated with hypertriglyceridemic waist phenotype

Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk

Anthropometry and the Risk of Lung Cancer in EPIC

Growth and socio-economic status, influence on the age at menarche in school going girls

Central obesity and risks of pre- and postmenopausal breast cancer: a dose-response meta-analysis of prospective studies

Anthropometric and adiposity indicators and risk of type 2 diabetes: systematic review and dose-response meta-analysis of cohort studies

The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent

Association between the abdominal obesity anthropometric indicators and metabolic disorders in a Chinese population

Anthropometric factors and endometrial cancer risk: a systematic review and dose–response meta-analysis of prospective studies

Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies

Body mass index, waist circumference and waist-hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual-participant meta-analysis of 82864 participants from nine cohort studies

Identification of the most appropriate existing anthropometric index for home-based obesity screening in children and adolescents

The “hyper-triglyceridemic waist phenotype” is a reliable marker for prediction of accumulation of abdominal visceral fat in Chinese adults

Anthropometric indicators and cardiovascular diseases risk in pre-diabetic and diabetic adults: NHANES 1999–2018 cross-sectional analysis

Waist circumference and waist‐to‐height ratio in 7‐year‐old children—WHO Childhood Obesity Surveillance Initiative

The association between hypertriglyceridemic-waist phenotype and chronic kidney disease: a cohort study and meta-analysis

Waist-to-Height Ratio is an Accurate and Easier Index for Evaluating Obesity in Children and Adolescents

Predictive capacity of obesity indices for high blood pressure among southern Ethiopian adult population: a WHO STEPS survey

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