Key Takeaways
- A prospective study of 94,139 adults in northern China found that a higher waist-to-hip ratio was associated with higher risks of death from any cause and death from cancer.
- Each standard-deviation increase in waist-to-hip ratio was associated with a 7% higher risk of all-cause mortality and a 9% higher risk of cancer-specific mortality.
- People in the high waist-to-hip ratio category had a modestly higher incidence of cancer than those in the low category.
- The association between high waist-to-hip ratio and cancer incidence was more apparent in women than in men.
- Waist-to-hip ratio provides information about body-fat distribution that BMI does not directly capture, but the study did not establish that it is a better predictor than BMI.
- The research was observational, so it cannot prove that abdominal fat caused cancer or premature death.
Introduction
Waist-to-hip ratio is a simple measure of body-fat distribution. A large prospective study found that higher ratios were associated with increased all-cause and cancer-specific mortality.
Where a person carries body fat may provide useful information about health risks that body weight alone cannot fully describe.
A large prospective study published September 5, 2026, in BMC Public Health found that a higher waist-to-hip ratio, or WHR, was associated with higher risks of all-cause and cancer-specific mortality.
Researchers analyzed data from more than 94,000 adults participating in the Kailuan Cohort in northern China. They also found a modest association between being in a high-WHR category and developing cancer (Ruan et al., 2026).
The findings add to evidence that body-fat distribution may matter when researchers assess health risk.
They do not mean that a high waist-to-hip ratio causes cancer, nor do they establish that WHR is a better health predictor than body mass index, or BMI.
What the Study Examined
Researchers used data from the Kailuan Cohort, a large community-based prospective study in Tangshan, China.
Adults who were employees or retirees were recruited between 2006 and 2017 and underwent health examinations every two years.
The original cohort included 101,510 people. Researchers excluded 377 participants with a previous history of cancer and 6,994 with missing information, leaving 94,139 participants for the analysis.
The average age at baseline was about 51 years. The cohort was predominantly male, with 79.9% men and 20.1% women.
Trained staff measured waist circumference at the level of the navel and hip circumference at the widest part of the hips. WHR was calculated by dividing waist circumference by hip circumference.
Researchers categorized WHR separately for men and women.
For men, a ratio above 0.90 was classified as high. For women, a ratio above 0.80 was classified as high.
Participants were followed for three major outcomes: new cancer diagnoses, death from any cause, and cancer-specific death.
Cancer diagnoses were identified from hospital records and physician diagnoses. Deaths were confirmed through hospital records or the Tangshan Medical Insurance System database.
The statistical models accounted for numerous factors that could influence the results, including age, sex, smoking, alcohol use, physical activity, income, education, blood glucose, inflammation, hypertension, diabetes and previous myocardial infarction. BMI was also included in the fully adjusted mortality analyses.
Higher Waist-to-Hip Ratio Was Associated With Mortality
The clearest results involved mortality.
After adjustment for potential confounding factors, each standard-deviation increase in WHR was associated with a 7% higher risk of death from any cause.
When researchers compared categories, participants with high WHR had a 24% higher adjusted risk of all-cause mortality than those in the low-WHR group.
The association was observed in both sexes, although the estimates differed.
Among women, high WHR was associated with a 43% higher risk of all-cause mortality compared with low WHR. Among men, the corresponding increase was 20% (Ruan et al., 2026).
These percentages describe relative differences in risk over follow-up. They do not mean, for example, that 43% of women with high WHR died.
Cancer Deaths Were Also Associated With WHR
Researchers found a similar pattern for cancer-specific mortality.
Each standard-deviation increase in WHR was associated with a 9% higher risk of cancer-specific death.
When the high- and low-WHR categories were compared, high WHR was associated with a 23% higher adjusted risk of cancer-specific mortality overall.
The sex-specific results require more caution.
Although continuous WHR was statistically associated with cancer-specific mortality in both women and men, the high-versus-low category estimates within each sex had confidence intervals that included no difference.
That makes the overall result more robust than any claim about a particularly large categorical effect within one sex.
What About the Risk of Developing Cancer?
The cancer-incidence results were more modest.
During follow-up, 5,555 of the 94,139 participants developed cancer.
When WHR was analyzed as a continuous variable, each standard-deviation increase corresponded to an estimated 2% higher cancer risk. However, the 95% confidence interval ranged from 0.99 to 1.04.
Because that interval included 1.00, the continuous association was not statistically significant after adjustment.
The categorical analysis produced a different result.
Compared with people in the low-WHR category, those with high WHR had a 10% higher adjusted risk of developing cancer. The 95% confidence interval was 1.01 to 1.21.
The association appeared stronger among women. Women in the high-WHR category had a 32% higher adjusted cancer risk than women in the low category.
The corresponding association was not statistically significant in men.
Researchers also reported an association with digestive-system cancers, although results involving individual cancer types and population subgroups should be interpreted more cautiously than the study’s broader findings.
Why Fat Distribution May Matter
BMI is calculated from a person’s weight relative to height. It is widely used because it is simple, but it cannot distinguish fat from muscle or show where body fat is concentrated.
Waist-to-hip ratio captures a different characteristic: the relationship between waist and hip circumference.
A larger waist relative to the hips can indicate greater central adiposity and may correlate with visceral fat. However, WHR is a proxy for body-fat distribution. It does not directly measure the amount or precise location of visceral fat.
Several biological pathways have been proposed to connect excess adiposity with poorer health outcomes, including chronic low-grade inflammation, insulin resistance and changes in hormone metabolism.
The new study did not test whether these mechanisms caused the cancer or mortality associations.
Its results show associations between WHR and subsequent health outcomes at the population level. They cannot establish the biological reason for those relationships.
Does Waist-to-Hip Ratio Matter More Than BMI?
The study provides a reason not to rely exclusively on body weight when researchers evaluate body composition and health.
Associations between WHR and mortality persisted after adjustment for BMI, indicating that abdominal fat distribution may carry information not completely captured by BMI.
But there is an important qualification.
The researchers did not formally compare the predictive performance of WHR and BMI.
Showing that WHR remains associated with an outcome after adjusting for BMI is not the same as demonstrating that WHR predicts that outcome better.
A formal comparison would require appropriate analyses of measures such as predictive discrimination, calibration or reclassification.
The more defensible interpretation is that WHR and BMI describe different aspects of body composition and that WHR may provide complementary information about central adiposity.
How It Compares With Earlier Research
The findings are broadly consistent with earlier evidence connecting abdominal adiposity with mortality.
In a large European prospective study, Pischon and colleagues examined waist circumference and waist-to-hip ratio in relation to mortality. Measures of abdominal adiposity remained associated with mortality after accounting for BMI (Pischon et al., 2008).
That research helped establish an important point: people with similar BMI values can have different patterns of body-fat distribution and potentially different health risks.
The new Chinese cohort adds evidence from a different population while also examining cancer incidence and cancer-specific mortality.
A review by the International Agency for Research on Cancer also concluded that excess body fatness is associated with increased risk of multiple cancers (Lauby-Secretan et al., 2016).
The new study does not overturn or replace that evidence. Instead, it contributes to the question of whether fat distribution may provide additional information alongside overall body size.
What the Results May Mean
Waist-to-hip ratio has a practical advantage in research and clinical settings because it is inexpensive and relatively simple to measure.
But this study does not establish a universal WHR cutoff at which an individual’s cancer or mortality risk suddenly increases.
The thresholds used in the analysis were study definitions. Risk relationships observed across a population cannot be converted directly into a personal prediction.
The results also do not mean that someone with a high WHR will develop cancer or that someone with a low ratio is protected from it.
Cancer and premature mortality are influenced by many factors, including age, genetics, smoking, alcohol use, diet, physical activity, metabolic health, environmental exposures and existing medical conditions.
WHR is therefore better understood as one potential marker of body composition and risk rather than a diagnostic test.
Limitations
The study has several important limitations.
First, it was observational.
Researchers adjusted for many potential confounding variables, but unmeasured or imperfectly measured factors could still explain part of the associations.
The study therefore cannot demonstrate that reducing WHR itself would reduce cancer incidence or extend life.
Second, participants were recruited primarily from an industrial region in northern China. Nearly 80% were men, and more than 92% of participants were classified as performing physical labor.
Those characteristics limit how confidently the findings can be generalized to populations with different geographic, occupational, ethnic or socioeconomic characteristics.
Third, WHR was measured at baseline. People’s weight and body-fat distribution can change substantially over time, and the main exposure assessment did not capture those changes.
Fourth, some subgroup and cancer-type analyses involved relatively small numbers of events. Smaller event counts increase uncertainty and make some estimates less stable.
Finally, although the authors discuss WHR as a potentially useful measure of central adiposity, they did not formally compare WHR and BMI as competing prediction tools.
The study therefore cannot establish that WHR is superior to BMI.
Funding and Conflicts of Interest
The research was supported by China’s National Key Research and Development Program, the National Natural Science Foundation of China and the Natural Science Foundation of Beijing Municipality.
The authors declared no competing interests (Ruan et al., 2026).
Final Thoughts
In this prospective study of more than 94,000 adults in northern China, higher waist-to-hip ratio was associated with increased all-cause and cancer-specific mortality.
Being in a high-WHR category was also associated with a modest increase in cancer incidence, with a stronger association observed among women. However, the continuous WHR analysis for cancer incidence was not statistically significant.
The findings strengthen the evidence that body-fat distribution may contain health information that BMI alone does not describe.
But they do not prove that abdominal fat directly caused the observed cancers or deaths. They also do not demonstrate that reducing WHR will lower those risks or that WHR is a better predictor than BMI.
For now, the most defensible conclusion is that where body fat is distributed may provide useful health information alongside measures of overall body size.
References
Lauby-Secretan, B., Scoccianti, C., Loomis, D., Grosse, Y., Bianchini, F., & Straif, K. (2016). Body fatness and cancer: Viewpoint of the IARC Working Group. The New England Journal of Medicine, 375(8), 794–798. https://doi.org/10.1056/NEJMsr1606602
Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M. B., Overvad, K., van der Schouw, Y. T., Spencer, E., Moons, K. G. M., Tjønneland, A., Halkjaer, J., Jensen, M. K., Stegger, J., Clavel-Chapelon, F., Boutron-Ruault, M.-C., Chajes, V., Linseisen, J., Kaaks, R., Trichopoulou, A., . . . Riboli, E. (2008). General and abdominal adiposity and risk of death in Europe. The New England Journal of Medicine, 359(20), 2105–2120. https://doi.org/10.1056/NEJMoa0801891
Ruan, G.-T., Wang, Y.-M., Zhu, L.-C., Zhang, H.-Y., Xie, H.-L., Zheng, Z., Shi, J.-Y., Zhang, J., Zhang, Q.-S., & Shi, H.-P. (2026). WHR and adverse health outcomes: A prospective study on cancer incidence, all-cause and cancer-specific mortality. BMC Public Health. https://doi.org/10.1186/s12889-026-29259-z
