To date, longitudinal weight loss analyses (curve-fitting) have been c
omplicated by non-linear weight patterns, incomplete follow-up, and va
ried follow-up times. Therefore, the cross-sectional design (one time
point survey) was chosen to study predictors of weight loss at yearly
postoperative time intervals (+/- 6 months). Mean values for the initi
al cohort of 7,540 patients were: age 37.4 years (+/- 9.4), weight 124
.0 kg (+/- 25.5), height 165.4 cm (+/- 8.5). Females comprised 87.7% o
f the data set. Follow-up was 62.5% at year one, 32.0% at year 2, 20.6
% at year 3, and 15.4% at year 4. The multiple regression model used i
ncluded 20 explanatory variables and was performed separately for four
yearly time points. Only operative weight, Initial visit height, age,
and operative type were consistent predictors of weight loss (p < 0.0
5) at all time points examined and accounted for 40-50% of weight loss
variation.