Background: The NHANES I Epidemiologic Follow-Up Study (NHEFS), a longitudi
nal study of a representative sample of U.S. adults, makes it possible for
the first time to develop a simulation model relating hospital admissions t
o baseline clinical risk factors for the general adult population. The mode
l is presented here and used to project the impact on hospital admissions o
f changes in smoking behavior-and sedentary lifestyle.
Methods: Three kinds of projections were calculated for the cohort of adult
s aged 45 to 74 at baseline: projections of hospital admissions in the abse
nce Of the risk factor; projections that reflect a 10-year lag between beha
vior change and full health benefit; and projections that reflect both lag
and incomplete adherence to: behavior change. For incomplete adherence we a
ssumed that only 10% of the at-risk population changed their behavior.
Results: Tests of the simulation model showed that it agreed with a Cox ana
lysis of the hospital data and accurately projected observed hospital admis
sions over the study period. The projections showed that eliminating smokin
g would reduce annual rates of all-cause hospitalization among older adults
by 8.9% 20 years after baseline. Eliminating inactivity would reduce them
4.6%. Introducing a lag of 10 years between behavior modification and full
benefit delayed the impact on hospitalization rates but the effect at 20 ye
ars was the same. When only 10% of the population at risk stopped smoking o
r became physically active, a percentage that reflects the effectiveness of
current interventions, annual hospitalization rates at 20 years fell by 0.
9% and 0.5%, respectively.
Conclusions: Substantial reductions in hospital admissions can be achieved
by interventions to prevent smoking, help smokers quit, or encourage inacti
ve persons to become active. Improving adherence can markedly improve the i
mpact on hospitalizations. The costs of these efforts would be rewarded not
only by better health, but by lower expenditures for hospitalization. (C)
2001 American Journal of Preventive Medicine.