Table 2 Regression of nutritional status on education groups, meat consumption, and covariates

Meat consumption (kg/month)

− 0.372

− 0.026

(0.374)

(0.032)

Technological or professional diploma (binary)

− 2.014*

− 0.239***

(1.116)

(0.083)

Higher diploma (binary)

− 4.394***

− 0.413***

(1.026)

(0.079)

TechPro*MeatCons

0.383

0.047

(0.419)

(0.040)

HigherDip*MeatCons

0.867**

0.095**

(0.405)

(0.038)

Male (binary)

0.145

0.069*

(0.364)

(0.040)

Aged 45–64 (binary)

1.635***

0.202***

(0.372)

(0.038)

Daily smoking (binary)

− 0.573*

− 0.022

(0.341)

(0.040)

Alcohol consumption index (0-to-90 score)

0.011

0.001

(0.011)

(0.001)

Medium level of physical activity (binary)

− 1.120***

− 0.118***

(0.359)

(0.034)

High level of physical activity (binary)

− 1.559***

− 0.155**

(0.484)

(0.060)

Medium level of sedentariness (binary)

− 0.345

0.014

(0.556)

(0.052)

High level of sedentariness (binary)

0.823

0.068

(0.523)

(0.051)

Lunch at home (binary)

0.174

0.044

(0.308)

(0.033)

Declared as vegetarian (binary)

0.201

0.047

(1.071)

(0.122)

Number of adults per household

0.428*

0.045*

(0.231)

(0.027)

Number of children per household

− 0.040

− 0.007

(0.160)

(0.017)

Season dummies

Yes

Yes

Urbanicity levels

Yes

Yes

Region dummies

Yes

Yes

Black's misreporting indexes

Yes

Yes

Constant

26.846***

0.394***

(1.527)

(0.141)

Observations

1,309

1,309

R-squared

0.237

0.190