Figure 1.

Associations between dietary intakes and body mass index among women, determined using alternative adjustments for estimated under- and overreporting in the Spanish cohort of the European Investigation Into Cancer and Nutrition, 1992–1996. Coefficients from multivariable linear regression models were adjusted for age, center, height, activity, educational level, smoking status, season, alcohol intakes, parity, diabetes, and use of special diets. We adjusted for energy and fat simultaneously, and we adjusted food group models (intakes in g/MJ) simultaneously for all food groups. Fruit intakes are shown in nonsmokers (81% of women), as there was an interaction with smoking status. Coefficients for energy were significant in all models. For fruit, coefficient P < 0.05 for all except the baseline model. For vegetables, coefficient P < 0.05 in the following models: baseline, revised Goldberg method, 1.5-standard-deviation cutoffs (GB-R 1.5), and predicted total energy expenditure (pTEE) method, 1.5-standard-deviation cutoffs (pTEE 1.5). For pastries, the coefficient P < 0.05 in all models. GB 1.5, Goldberg method, 1.5-standard-deviation cutoffs; GB 2.0, Goldberg method, 2.0-standard-deviation cutoffs; GB-R 2.0, revised Goldberg, 2.0-standard-deviation cutoffs; pTEE 2.0, pTEE method, 2.0-standard-deviation cutoffs. Bars, standard error (SE).