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. 2019 Apr 17;22(11):2110–2119. doi: 10.1017/S136898001900051X

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© The Authors 2019

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 3 — Regression results from models examining the effect of market food, food crop and livestock diversity, region and agroecological zone on women’s dietary diversity; Agriculture to Nutrition (ATONU) study, rural Ethiopia, November 2016–January 2017. Values are regression coefficients, with their 95 % CI represented by horizontal bars, from bivariate models (), multivariate models without interaction terms () and multivariate models with interaction terms (). Multivariate models adjusted for region, education, women’s education, wealth quintiles, woman’s age, age of the household head, household size, access to improved water and sanitation, and kebele-level clustering (SNNPR, Southern Nations, Nationalities and Peoples’ Region). Other coefficients are presented in the online supplementary material, Supplemental Table 3

Inline graphic — Regression results from models examining the effect of market food, food crop and livestock diversity, region and agroecological zone on women’s dietary diversity; Agriculture to Nutrition (ATONU) study, rural Ethiopia, November 2016–January 2017. Values are regression coefficients, with their 95 % CI represented by horizontal bars, from bivariate models (), multivariate models without interaction terms () and multivariate models with interaction terms (). Multivariate models adjusted for region, education, women’s education, wealth quintiles, woman’s age, age of the household head, household size, access to improved water and sanitation, and kebele-level clustering (SNNPR, Southern Nations, Nationalities and Peoples’ Region). Other coefficients are presented in the online supplementary material, Supplemental Table 3