Measuring the public health burden of cancer in the United States through lifetime and age-conditional risk estimates.
OBJECTIVE
Effects of an aging population in the United States on lifetime and age-conditional risk estimates of developing site-specific cancers are identified and the potential role these statistics play in monitoring disease burden discussed.


METHODS
Risk estimates were derived by applying cross-sectional population-based incidence rates of cancer and mortality rates from other causes to a hypothetical cohort. The cohort was aged through a double decrement life table to determine the expected proportion of the population that would develop the disease.


RESULTS
Despite black men having higher invasive cancer incidence rates than white men, and black and white women having similar rates, because of the better life expectancy among whites lifetime risk estimates of developing cancer are higher for whites than blacks: 45.5% in white men, 40.4% in black men, 39.2% in white women, and 32.4% in black women based on 1995-97 data. White men experience higher 10-year cancer risk than black men in only bladder cancer, non-Hodgkin's lymphomas (NHL), and leukemia. White women tended to show a greater risk than black women for cancers of the breast, corpus uteri, ovary, NHL, and leukemia. For both whites and blacks, the 10-year risk of lung cancer ranks first among men aged 40, ranks second to prostate cancer for men aged 50, 60, and 70, and ranks second to breast cancer for women aged 40, 50, 60, and 70.


CONCLUSIONS
Lifetime and age-conditional risk measures reflect both changes in the disease incidence rates and age distribution over calendar time such that they are useful for monitoring the disease burden in the population. Even if cancer rates remain stable or fall, it is possible for the cancer burden, as reflected by lifetime and age-conditional risk estimates, to increase due to the aging population.
Merrill
R M
RM
Department of Health Science, College of Health and Human Performance, Brigham Young University, Provo, UT 84602, USA.
Weed
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DL
D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D017677:Age Distribution; D017668:Age of Onset; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D017281:Cost of Illness; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D008017:Life Expectancy / Q000208:ethnology*; D015993:Life Tables; D008297:Male; D008403:Mass Screening; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology* / Q000208:ethnology / Q000401:mortality; D011634:Public Health; D012307:Risk Factors; D018426:SEER Program; D017678:Sex Distribution; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data*