The authors used longitudinal data to develop a risk factor index (RFI) for
the prediction of smoking behavior in youth. Students were followed yearly
from 6th through 12th grades in a prospective longitudinal study. Ten risk
factors were identified and combined into an RFI. Data were analyzed with
a generalized estimating equations approach. The RE predicted both concurre
nt smoking and use of cigarettes in the succeeding year. It further predict
ed whether a youth would smoke at any point during his or her school career
. Prediction was better for boys than for girls. Furthermore, the RFI bette
r predicted heavy smoking than any use of cigarettes. The RFI could be usef
ul in selecting youth for intensive prevention and early intervention effor
ts. Results also suggest the importance of further examination of gender di
fferences in smoking behavior.