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

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

	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	-	-

Stepwise multiple linear regression modelling is reported. Number of countries included in the analysis range from 157 to 166
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
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

ISSN: 2055-0928