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ABSTRACT: Background
Household food insecurity is increasingly recognized as a global health problem, particularly in sub-Saharan Africa. This study aimed to contextualize the associations between household food insecurity, dietary diversity and stunting in N'Djamena.Methods
This study is a community-based cross-sectional study, and the SMART (Standardized Monitoring and Assessment of Relief and Transitions) methodology was used to calculate the sample size. A total of 881 households were selected for the survey. A 24-h recall evaluated the dietary diversity score (DDS), the Household Food Insecurity Access Scale (HFIAS) made it possible to assess household food insecurity (HFI), and stunting among children aged 12 to 59 months was assessed by anthropometric measurements. Logistic regression was constructed to determine the association between household food insecurity, dietary diversity, and stunting. The study was conducted from January to March 2022.Results
The prevalence of severe food insecurity was 16.6%, and that of stunting was 25.3%. The mean DDS was 6.5 ± 1.6. Severe food insecurity (OR 2.505, CI: 1.670-3.756) was significantly associated with stunting. The association between DDS and stunting was not significant.Conclusions
This study's prevalence of household food insecurity and stunting was very high. Household food insecurity and household size were significantly associated with stunting.
SUBMITTER: Gassara G
PROVIDER: S-EPMC9920356 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Gassara Goudja G Lin Qian Q Deng Jing J Zhang Yaxi Y Wei Jieqiong J Chen Jihua J
Nutrients 20230121 3
<h4>Background</h4>Household food insecurity is increasingly recognized as a global health problem, particularly in sub-Saharan Africa. This study aimed to contextualize the associations between household food insecurity, dietary diversity and stunting in N'Djamena.<h4>Methods</h4>This study is a community-based cross-sectional study, and the SMART (Standardized Monitoring and Assessment of Relief and Transitions) methodology was used to calculate the sample size. A total of 881 households were ...[more]