article · Journal of Global Health
Background: Dietary diversity (DD) is the consumption of a variety of different and healthy foods that promote an adequate supply of nutrients, a high-quality diet, and the maintenance of optimal health. It is critical to identify the factors that influence pregnant women's eating habits so that relevant interventions can be developed. We estimated the pooled odds ratio of appropriate dietary practices to identify factors that affect the dietary practices of pregnant women. Methods: statistic tests with corresponding P-values were used to determine the existence of heterogeneity between studies. Publication bias was tested using a funnel plot of symmetry and further investigated using Egger and Begg tests. The results were presented using forest plots, funnel plots, tables, and figures. Results: We included 29 articles with maximum and minimum sample sizes of 759 and 241, respectively. Among the included articles, 13 were facility-based cross-sectional studies;16 studies were community-based cross-sectional studies. The pooled proportion of adequate DD was 42.48% (95% confidence interval (CI) = 31.82, 53.14). Knowledge of DD (OR = 3.10; 95% CI = 1.92, 4.99), income (OR = 0.35; 95% CI = 0.14, 0.85), and nutritional information (OR = 1.91; 95% CI = 1.15, 3.17) were predictors for adequate DD practice among pregnant women. Conclusions: The pooled proportion of adequate DD among pregnant women was low. Knowledge of DD, household income, and nutritional information were associated factors with the adequate dietary diversity of pregnant women. We recommend focusing on interventions that will enhance the knowledge of dietary diversity through improved nutritional awareness and enhance access to food resources through existing maternal health initiatives. Registration: PROSPERO: CRD42022298172.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.7189/jogh.15.04286
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.