Waist-to-Hip Ratio for Risk Assessment
Waist-to-hip ratio (WHR) is most effective in assessing cardiovascular disease mortality risk and type 2 diabetes risk, with particular strength in identifying adults at increased risk of death from cardiovascular causes. 1
Primary Clinical Applications
Cardiovascular Mortality Risk
- WHR carries important information to identify adults at increased risk of all-cause and cardiovascular mortality, outperforming waist circumference alone in several key populations 1
- In patients with chronic kidney disease, WHR (but not waist circumference) was associated with cardiac events after adjusting for demographic factors, lifestyle characteristics, baseline CVD, and CVD risk factors 1
- Men and women who died of CVD had greater WHR at baseline compared to survivors 1
- WHR showed stronger associations with cardiovascular death (HR 1.19 per SD increase) compared to waist circumference (HR 1.08) or BMI (no significant association) in patients with type 2 diabetes 2
Type 2 Diabetes Risk
- WHR was strongly and independently related to incident type 2 diabetes in both men and women in the MONICA/KORA Augsburg study 1
- Each anthropometric measurement (BMI, waist circumference, WHR) was equivalent in predicting type 2 diabetes in men, but in women, waist circumference and BMI showed the greatest risk ratio 1
- WHR demonstrated superior discrimination capabilities for cardiovascular outcomes in diabetic patients compared to BMI 2
Dyslipidemia Assessment
- In non-Asian populations, WHR has a stronger association with dyslipidemia than BMI 1
- Large waist circumference (adjusted for hip circumference) was associated with low HDL-cholesterol and high fasting triglycerides, insulin, and glucose 3
- A narrow hip circumference (adjusted for waist circumference) was independently associated with adverse lipid profiles, demonstrating that WHR captures both protective effects of larger hips and risk from larger waist 3
Key Clinical Advantages
Independent Predictive Value
- Waist and hip circumferences have independent and often opposite effects on cardiovascular disease risk factors, which the ratio captures effectively 3
- A narrow waist and large hips may both protect against cardiovascular disease—effects that are poorly captured when using waist circumference or BMI alone 3
Ethnic Considerations
- WHR and waist-to-height ratio may provide the greatest value for uniform comparison of CVD risk between populations, as they adjust for ethnic differences in body shape 1
- Optimal BMI and waist circumference values differ between Mexicans, Asians, and blacks and whites, but WHR adjusts for these variations 1
Important Clinical Caveats
Measurement Limitations
- Despite the evidence supporting WHR, the American Heart Association does not recommend routine use of ratios to assess adiposity in general practice, citing ease of measurement as a determining factor 1
- WHR requires accurate measurement of both waist and hip circumferences, which can be technically challenging and time-consuming compared to single measurements 1
Gender-Specific Thresholds
- In overweight premenopausal women, cardiovascular risk factors become significantly elevated at WHR ≥0.90, not at the commonly cited 0.80 threshold 4
- This upward shift in critical threshold persists regardless of smoking status or whether BMI is above or below 35 kg/m² 4
Comparative Performance
- While WHR shows marginal superiority over BMI and waist-to-height ratio for cardiovascular outcomes, the differences are often not clinically substantial enough to warrant replacement of simpler measures in routine surveillance 1
- In patients with type 2 diabetes, WHR was the best predictor of cardiovascular events and mortality, while BMI was the worst 2
Practical Implementation
When WHR is most valuable:
- Assessing cardiovascular mortality risk in patients with established chronic kidney disease 1
- Evaluating cardiovascular risk in patients with type 2 diabetes, where it outperforms BMI 2
- Comparing cardiovascular risk across ethnically diverse populations 1
- Identifying dyslipidemia risk in non-Asian populations 1
When simpler measures may suffice: