OBJECTIVE: To quantify the relation between body mass index (BMI) and @entity1204 risk, and to describe the shape of such a relation. DESIGN: Pooled analysis of three hospital-based case-control studies. SETTING: Italy and Switzerland. POPULATION: A total of 1449 @entity1 with @entity1204 and 3811 controls. METHODS: Multivariate odds ratios (OR) and 95% confidence intervals (95% CI) were obtained from logistic regression models. The shape of the relation was determined using a class of flexible regression models. MAIN OUTCOME MEASURE: The relation of BMI with @entity1204 . RESULTS: Compared with @entity1 with BMI 18.5 to <25  kg/m(2) , the odds ratio was 5.73 (95% CI 4.28-7.68) for @entity1 with a BMI >= 35  kg/m(2) . The odds ratios were 1.10 (95% CI 1.09-1.12) and 1.63 (95% CI 1.52-1.75) respectively for an increment of BMI of 1 and 5 units. The relation was stronger in never-users of @entity7280 (OR 3.35, 95% CI 2.78-4.03, for BMI >= 30 versus <25  kg/m(2) ) than in users (OR 1.22, 95% CI 0.56-2.67), and in @entity1 with @entity6 (OR 8.10, 95% CI 4.10-16.01, for BMI >= 30 versus <25  kg/m(2) ) than in those without @entity6 (OR 2.95, 95% CI 2.44-3.56). The relation was best fitted by a cubic model, although after the exclusion of the 5% upper and lower tails, it was best fitted by a linear model. CONCLUSIONS: The results of this study confirm a role of elevated BMI in the aetiology of @entity1204 and suggest that the risk in @entity28 @entity1 increases in a cubic nonlinear fashion. The relation was stronger in never-users of @entity7280 and in @entity1 with @entity6 . TWEETABLE ABSTRACT: Risk of @entity1204 increases with elevated body weight in a cubic nonlinear fashion.

Modelling body mass index and XXXX risk in a pooled-analysis of three case-control studies.

@entity1204 :: ('MESH:D016889', 'Disease') :: ['endometrial cancer'] @entity1 :: ('9606', 'Species') :: ['women'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese'] @entity7280 :: ('MESH:D003276', 'Chemical') :: ['oral contraceptives']
@entity1204 :: (MESH:D016889,Disease) :: ['endometrial cancer']
