Health equity
How much do four risks explain US life-expectancy gaps?
Open access · cc by · source: Europe PMC
Smoking, high blood pressure, high glucose, and adiposity help explain large US life-expectancy disparities across race–place groups (Eight Americas).
Key findings
These preventable risks are leading mortality drivers and contribute to disparities; bringing them to optimal levels would raise life expectancy and shrink disparity spread (e.g., lowering population-weighted SD of life expectancies).
Methodology
Using risk-factor and mortality data across the Eight Americas, investigators estimated how smoking, SBP, fasting glucose, and BMI contribute to national life expectancy and cross-group disparities.
Limitations
Modeling attributable effects is not a randomized test of a specific prevention program’s real-world delivery.
How this study connects
Role on claims
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These preventable risks are leading mortality drivers and contribute to disparities; bringing them to optimal levels would raise life expectancy and shrink disparity spread (e.g., lowering population-weighted SD of life expectancies).
Evidence for the claim as stated.
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