| Autor: |
Madzorera I; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts., Ismail A; 2College of Natural and Mathematical Sciences, University of Dodoma, Dodoma, Tanzania., Hemler EC; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts., Korte ML; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts., Olufemi AA; 3University of Ibadan Research Foundation, University of Ibadan, Ibadan, Nigeria., Wang D; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts., Assefa N; 4College of Health and Medical Sciences, School of Public Health, Haramaya University, Harar, Ethiopia., Workneh F; 5Department of Epidemiology and Biostatistics, Addis Continental Institute of Public Health, Addis Ababa, Ethiopia., Lankoande B; 6Institut Supérieur des Sciences de la Population, Université de Ouagadougou, Ouagadougou, Burkina Faso., Chukwu A; 7Department of Statistics, University of Ibadan, Ibadan, Nigeria., Ourohire M; 8Nouna Health Research Center, Nouna, Burkina Faso., Mattei J; 9Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts., Soura A; 6Institut Supérieur des Sciences de la Population, Université de Ouagadougou, Ouagadougou, Burkina Faso., Berhane Y; 5Department of Epidemiology and Biostatistics, Addis Continental Institute of Public Health, Addis Ababa, Ethiopia., Sie A; 8Nouna Health Research Center, Nouna, Burkina Faso., Oduola A; 3University of Ibadan Research Foundation, University of Ibadan, Ibadan, Nigeria., Fawzi WW; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.; 9Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.; 10Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts. |
| Abstrakt: |
Coronavirus disease 2019 (COVID-19) can have far-reaching consequences for developing countries through the combined effects of infection and mortality, and the mitigation measures that can impact food systems and diets. Using a mobile platform, this cross-sectional study evaluated the effect of COVID-19 on food prices and dietary quality for 1797 households in Nouna and Ouagadougou in Burkina Faso, Addis Ababa and Kersa in Ethiopia, and Lagos and Ibadan in Nigeria. We assessed the consumption of 20 food groups during the previous 7 days. The dietary diversity scores (DDS) and Prime Diet Quality Scores (PDQS) were used to assess dietary diversity and quality. We used generalized estimating equation (GEE) linear models to evaluate associations between price changes for staples, pulses, vegetables, fruits, and animal source foods (ASFs) with the DDS and PDQS PDQS. Most participants reported increasing prices of staples, pulses, fruits, vegetables and ASF, and ≥ 40% reported the decreased consumption of staples, legumes, and other vegetables and fruits. The DDS (except in Kersa and Ouagadougou) and PDQS were lower during the COVID-19 pandemic. Higher pulse prices were associated with lower DDS (estimate, -0.35; 95% confidence interval [CI], -0.74 to 0.03; P = 0.07) in the combined analysis and in Burkina Faso (estimate, -0.47; 95% CI, -0.82 to -0.11). Higher vegetable prices were positively associated with the DDS (estimate, 0.22; 95% CI, 0.08 to 0.37). Lower crop production (estimate, -0.54; 95% CI, -0.80 to -0.27) was associated with lower DDS. The price increases and worsening dietary diversity and quality call for social protection and other strategies to increase the availability and affordability of nutrient-rich foods during the COVID-19 pandemic and public health emergencies. |
