Abstract

BackgroundIdentifying dietary patterns that consider the overall eating habits, rather than focusing on individual foods or simple counts of consumed foods, better helps to understand the combined effects of dietary components. Therefore, this study aimed to use dietary patterns, as an alternative method to dietary diversity scores (DDSs), and investigate their associations with childhood stunting in Ethiopia.MethodsMothers and their children aged under 5 years (n = 3788) were recruited using a two-stage random cluster sampling technique in two regions of Ethiopia. Socio-demographic, dietary and anthropometric data were collected. Dietary intake was assessed using standardized dietary diversity tools. Household, maternal and child DDSs were calculated and dietary patterns were identified by tetrachoric (factor) analysis. Multilevel linear and Poisson regression analyses were applied to assess the association of DDSs and dietary patterns with height-for-age z score (HAZ) and stunting, respectively.ResultsThe overall prevalence of stunting among children under-five was 38.5% (n = 1459). We identified three dietary patterns each, for households (“fish, meat and miscellaneous”, “egg, meat, poultry and legume” and “dairy, vegetable and fruit”), mothers (“plant-based”, “egg, meat, poultry and legume” and “dairy, vegetable and fruit” and children (“grain based”, “egg, meat, poultry and legume” and “dairy, vegetable and fruit”). Children in the third tertile of the household “dairy, vegetable and fruit” pattern had a 0.16 (β = 0.16; 95% CI: 0.02, 0.30) increase in HAZ compared to those in the first tertile. A 0.22 (β = 0.22; 95% CI: 0.06, 0.39) and 0.19 (β = 0.19; 0.04, 0.33) increase in HAZ was found for those in the third tertiles of “dairy, vegetable and fruit” patterns of children 24–59 months and 6–59 months, respectively. Those children in the second (β = −0.17; 95% CI: -0.31, −0.04) and third (β = −0.16; 95% CI: -0.30, −0.02) tertiles of maternal “egg, meat, poultry and legume” pattern had a significantly lower HAZ compared to those in the first tertile. No significant associations between the household and child “egg, meat, poultry and legume” dietary patterns with HAZ and stunting were found. Statistically non-significant associations were found between household, maternal and child DDSs, and HAZ and stunting.ConclusionA higher adherence to a “dairy, vegetable and fruit” dietary pattern is associated with increased HAZ and reduced risk of stunting. Dietary pattern analysis methods, using routinely collected dietary data, can be an alternative approach to DDSs in low resource settings, to measure dietary quality and in determining associations of overall dietary intake with stunting.

Highlights

  • Identifying dietary patterns that consider the overall eating habits, rather than focusing on individual foods or simple counts of consumed foods, better helps to understand the combined effects of dietary components

  • Children in the third tertile of the household “dairy, vegetable and fruit” pattern had a 0.16 (β = 0.16; 95% Confidence interval (CI): 0.02, 0.30) increase in height-for-age z score (HAZ) compared to those in the first tertile

  • The prevalence of stunting among children in the third tertile of the pattern was lower (PR = 0.83; 95% CI: 0.72–0.95) compared to those in the first tertile. Those children in the second (β = −0.17; 95% CI: -0.31, −0.04) and third (β = −0.16; 95% CI: -0.30, −0.02) tertiles of maternal “egg, meat, poultry and legume” pattern had a significantly lower HAZ compared to those in the first tertile (Table 5 and Additional file 1: Table S5)

Read more

Summary

Introduction

Identifying dietary patterns that consider the overall eating habits, rather than focusing on individual foods or simple counts of consumed foods, better helps to understand the combined effects of dietary components. This study aimed to use dietary patterns, as an alternative method to dietary diversity scores (DDSs), and investigate their associations with childhood stunting in Ethiopia. In Ethiopia, 38% of children under-five years of age were stunted [3] and it was a risk factor for 960,742 DALYs and 11,065 deaths in 2015 [2]. Dietary diversity assessment has remained the most commonly used method of data collection, analysis and interpretation approach in LICs. Dietary diversity scores (DDSs) of households, women and children [7,8,9] are important tools and the most commonly used indicators of assessing the adequacy of nutrient intake. Because the main purpose of DDS analysis is on the number, rather than the type of foods consumed, this may ignore the antagonist, additive and synergistic effect of food groups

Objectives
Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.