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Table 2 Results of stepwise multiple linear regression analyses to identify food group and macronutrient predictors of three variables defined by BMI

From: Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis

  BMI ≥ 30 BMI ≥ 25 BMI, Mean
Rank Variables entered Adjusted R2 Variables entered Adjusted R2 Variables entered Adjusted R2
Food groups
 1 Meat, total 0.468 Meat, total 0.628 Meat, total 0.507
 2 Fruits 0.483 Fibers (vegetables + Pulses) 0.667 Fruits 0.538
 3 Fats (animal fat + plant oil) 0.494 Fats (animal fat + plant oil) 0.687 - -
 4 - - Fruits 0.701 - -
Macronutrients
 1 Meat protein 0.472 Meat protein 0.614 Meat protein 0.498
 2 Plant oil 0.522 Animal protein, excl. meat protein 0.666 Plant oil 0.526
 3 Carbohydrates 0.549 Plant oil 0.694 Carbohydrates 0.548
 4 - - Carbohydrates 0.714 - -
  1. Stepwise multiple linear regression modelling is reported. Number of countries included in the analysis range from 157 to 166
  2. BMI ≥ 30 and BMI ≥ 25 are percentages of defined population with a body mass index (BMI) of no less than 30 kg/m2 and 25 kg/m2 respectively. BMI mean is the mean body mass index (BMI) in kg/m2 of defined population
  3. Availabilities of food types (meat, fats, fruits, fibers and starch) and macronutrients (meat protein, animal protein (excl. meat protein), plant protein, animal fats, plant fats and carbohydrates) are expressed in g/capita/day