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. 2020 Mar 9;23(Suppl 1):s77–s88. doi: 10.1017/S1368980019004725

Fig. 1.

Fig. 1

Predicted prevalence of malnutrition by wealth, education and ethnicity across rural and urban populations. Predictions based on a model that included wealth, education, ethnicity and an interaction term between each of these and urban/rural areas (one model per interaction term). *P < 0·05 v. reference category (low wealth, low mother’s education or indigenous). Results are only presented for models in which the interaction term had a P < 0·10. Data are from the Mexican National Health and Nutrition Survey 2012 (n 33 244). (a, b, f) Inline graphic, low wealth; Inline graphic, medium wealth; Inline graphic, high wealth; (c, e) Inline graphic, low mother’s education; Inline graphic, medium mother’s education; Inline graphic, high mother’s education; (d) Inline graphic, indigenous; Inline graphic, non-indigenous