Millions dffected undernutrition Additional of by in 2050 millions of children children affected by Region Outcome No CC NCAR CSIRO No CC South Underweight 52 59 59 7 Asia (b) Stunting 20 27 26 7 (c) SSA Underweight 42 52 52 10 (b) Stunting 45 54 54 9 (c) undernutrition Baseline with climate ratio of change Region Outcome NCAR underweight to stunting (a) South Underweight 7 1.
The first approximation was to fit a separate bilinear regression model to two of the stunting levels and then use these to estimate no/mild stunting.
The fourth approximation was the estimate of the physiological relationship between stunting and a lack of food (as represented by under nourishment).
38), socioeconomic conditions no longer contributed to stunting.
When either undernourishment or the development score are high (a high development score indicates poor socioeconomic conditions), moderate stunting decreases.
The model's equations suggest that, as either food access or general socioeconomic conditions worsen, severe stunting increases more rapidly than moderate stunting; that is, more children shift from moderate to severe stunting than shift from no/mild stunting to moderate stunting.
This was unexpected but, when considered in the context of the full equation and in terms of observed model behavior, the model equations predicted stunting changes as expected.