BMC Nutrition (Jan 2023)

The relationship between climate change induced natural disasters and selected nutrition outcomes: a case of cyclone Idai, Zimbabwe

  • Vimbainashe Prisca Dembedza,
  • Prosper Chopera,
  • Jacob Mapara,
  • Nomalanga Mpofu-Hamadziripi,
  • George Kembo,
  • Lesley Macheka

DOI
https://doi.org/10.1186/s40795-023-00679-z
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 10

Abstract

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Abstract Background The increased frequency of climate induced natural disasters has exacerbated the risks of malnutrition in the already vulnerable regions. This study was aimed at exploring the effects of Cyclone Idai on nutrition outcomes of women of child-bearing age and children under 5 years. Method The household-based cross-sectional study was conducted in Eastern Zimbabwe. Data were collected through face-to-face interviews to determine food consumption score (FCS) and household dietary diversity (HDDS), minimum dietary diversity for women (MDD-W) and minimum dietary diversity for children (MDD-C). Severity of Cyclone Idai was grouped into five categories based on the extent of damage to infrastructure and loss of human lives. Association between continuous and categorical variables was tested using Pearson correlation test and Chi square test, respectively. Linear and binary logistic regression was performed to investigate determinants of food security. Results A total of 535 households were interviewed. There was a significant correlation between severity of Cyclone Idai and MDD-W (p = 0.011), HDDS (p = 0.018) and FCS (p = 0.001). However, severity of Cyclone Idai was not a determinant of any nutrition outcome, but gender of household head was a negative predictor of HDDS (β = − 0.734, p = 0.040), and marital status of household head was a positive predictor (β = 0.093, p = 0.016) of FCS. Conclusion The findings provide a good baseline to inform future programming of food aid activities during disasters. More so, our findings call for evidence-based policies regarding composition of a food aid basket and targeting of beneficiaries. The main strength of this study is that it is the first to investigate the effects of cyclones on food and nutrition security indicators and is based on a large sample size thus making our results generalisable.

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