ArticlePublic health nutrition2014
Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish adults.
Article in Public health nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China.Medicine · 2018Pooled it
- Improving Short- and Long-Term Type 2 Diabetes Risk Prediction for Middle-Aged British Adults.Diabetes, obesity & metabolism · 2026Article
- Waist-to-Height Ratio and the Risk of Cardiovascular Outcomes and Mortality in Type 2 Diabetes With and Without Abdominal Obesity.Diabetes, obesity & metabolism · 2026Article
- The relationship between anthropometric measurements and coronary flow models: morphofunctional assessment using thrombolysis in myocardial infarction frame counting.Surgical and radiologic anatomy : SRA · 2026Article
- Development and validation of a nomogram model to predict coronary heart disease in snoring patients with hypertension and non-glucose metabolism disorders.Journal of medical biochemistry · 2025Article
- Changes in adiposity indices over 10 years and risk of type 2 diabetes: The Whitehall II cohort study.Diabetes, obesity & metabolism · 2025Article
- Waist-height index curves of Colombian adultsBiomedica : revista del Instituto Nacional de Salud · 2025Article
- Role of waist circumferenceZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
- Article
- Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022Article
- Comparison of the Four Anthropometric Indexes and Their Association With Stroke: A Population-Based Cross-Sectional Study in Jilin Province, China.Frontiers in neurology · 2019Article
- New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults.BMC cardiovascular disorders · 2018Article
- Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.Journal of obesity · 2018Article
- Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders.The American journal of medicine · 2016Article
- Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?International journal of preventive medicine · 2015Article
- Cognitive impairment among elderly individuals in Shanghai suburb, China: association of C-reactive protein and its interactions with other relevant factors.American journal of Alzheimer's disease and other dementias · 2014Article
- The diagnostic accuracy of the Revised Mini Nutritional Assessment Short Form for older people living in the community and in nursing homes.The journal of nutrition, health & aging · 2014Article
- Waist to height ratio as a screening tool for identifying childhood obesity and associated factors.Pakistan journal of medical sciencesArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine the best anthropometric measurement among waist: height ratio (WHtR), BMI, waist:hip ratio (WHR) and waist circumference (WC) associated with high CHD risk in adults and to define the optimal cut-off point for WHtR.
designPopulation-based cross-sectional study.
settingBalcova, Izmir, Turkey. SUBJECTS: Individuals (n 10 878) who participated in the baseline survey of the Heart of Balcova Project. For each participant, 10-year coronary event risk (Framingham risk score) was calculated using data on age, sex, smoking status, blood pressure, serum lipids and diabetes status. Participants who had risk higher than 10 % were defined as 'medium or high risk'.
resultsAmong the participants, 67·7% were female, 38·2% were obese, 24·5% had high blood pressure, 9·2% had diabetes, 1·5% had undiagnosed diabetes (≥126 mg/dl), 22·0% had high total cholesterol and 45·9% had low HDL-cholesterol. According to Framingham risk score, 32·7% of them had a risk score higher than 10 %. Those who had medium or high risk had significantly higher mean BMI, WHtR, WHR and WC compared with those at low risk. According to receiver-operating characteristic curves, WHtR was the best and BMI was the worst indicator of CHD risk for both sexes. For both men and women, 0·55 was the optimal cut-off point for WHtR for CHD risk.
conclusionsBMI should not be used alone for evaluating obesity when estimating cardiometabolic risks. WHtR was found to be a successful measurement for determining cardiovascular risks. A cut-off point of '0·5' can be used for categorizing WHtR in order to target people at high CHD risk for preventive actions.
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