For Colombia, low birth weight was selected as the main variable because it has an international reduction target and because other nutritional variables presented greater difficulties for constructing scenarios. The model included a scenario with changes in low educational attainment, the peri-urban vegetation index, the multidimensional poverty index, the population in the low social stratum, and the population living in extreme poverty.

These variables were prioritized because they combine educational, socioeconomic, territorial, and environmental dimensions. Compared with other variables, those selected made it possible to represent structural changes associated with poverty, education, social stratification, and environmental quality. The result should be interpreted with caution: the scenario showed a slight apparent increase in low birth weight, which the spreadsheet links to the so-called “low birth weight paradox” in contexts of socioeconomic improvement.