Waist Circumference as Compared with Body-Mass Index in Predicting Mortality from Specific Causes
2011

Waist Circumference vs Body-Mass Index in Predicting Mortality

Sample size: 225712 publication 10 minutes Evidence: high

Author Information

Author(s): Michael F. Leitzmann, Steven C. Moore, Annemarie Koster, Tamara B. Harris, Yikyung Park, Albert Hollenbeck, Arthur Schatzkin

Primary Institution: National Cancer Institute, National Institutes of Health

Hypothesis

Does waist circumference provide clinically meaningful information not delivered by body-mass index regarding prediction of cause-specific death?

Conclusion

Increased abdominal fat measured by waist circumference is related to a higher risk of deaths from major specific causes, including lung cancer and chronic respiratory disease, independent of body-mass index.

Supporting Evidence

  • Increased waist circumference predicted risk of death from any cause and major causes of death.
  • Waist circumference showed significant positive associations with deaths from lung cancer and chronic respiratory disease.
  • Participants with the highest waist circumference had a 1.77 times higher risk of death from lung cancer.

Takeaway

Measuring waist size can tell us more about health risks than just looking at weight and height. A bigger waist means a higher chance of dying from serious diseases.

Methodology

The study used Cox regression to analyze the relationship between waist circumference and body-mass index with cause-specific death in a large cohort over several years.

Potential Biases

Self-reported measurements of waist circumference and body-mass index may introduce measurement bias.

Limitations

The study had a low response rate to the second questionnaire for waist circumference, which could introduce selection bias.

Participant Demographics

Participants were U.S. adults aged 50 to 71 years, with a diverse representation across age, sex, and race/ethnicity.

Statistical Information

P-Value

p<0.0001

Confidence Interval

95% CI, 1.41 to 2.23

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1371/journal.pone.0018582

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