Vitamin A Total Body Stores of Senegalese Children in Relation to Their Infectious Status

Overview

Despite economic growth in developing countries, Sub-Saharan Africa still faces food insecurity malnutrition and infections. Micronutrient deficiency and infectious diseases still remain a public health problem and have a negative impact on health and the economy. They are both directly and indirectly responsible for children morbidity and mortality. Due to high level of children mortality (139‰) Vitamin A Supplementation (VAS) program was implemented in Senegal since 1999. A national representative study undertook in 2010 to have biological data on vitamin status and infections, showed that 24.4% of children aged 1-5 y were Vitamin A Deficiency (VAD) and 50.2% were infected. To address VAD issue, large scale oil fortification was launched by government and private industries also fortified bouillon cubes. Furthermore, home fortification is being initiated without evaluation of VAD control strategies existing in the country. In order to assess the impact of national VAD control strategies in Senegalese children, this study was designed to measure in subsample of rural children aged 3-5 y, the current vitamin A total body stores in relation to their infectious status.

Specifics objectives are: Assess total body vitamin A stores and hepatic reserves before and after vitamin A supplementation in children aged 3-5 y by deuterated-retinol dilution technique Measure plasma retinol, ferritin and zinc concentrations in children Measure plasma C-reactive protein and alpha 1 glycoprotein concentrations and malaria parasitemia Identify health, socioeconomic and food determinants that can influence children micronutrient status Study design is longitudinal with repeated measures and will be implemented in rural area. Five months after the passage of Vitamin A Supplementation (VAS) campaign, fifty children (n=50) aged 3-5y will be enrolled in the study (randomized sampling) plus 10% for drop out. The protocol will be explained to the mother and written consent will be obtained from her. Dietary intake information will be collected using 24 hour recall questionnaire, food frequency questionnaire and infections frequency questionnaire will be submitted to the mother at d-7. Anthropometric measurements (weight and height) of children will be recorded also at d-7. Subjects will receive doses of labeled vitamin A: 6µmol of D4-Vitamin A, and 6 µmol of D8-Vitamin A per children at d0 and d44 respectively. Blood sampling will be done 3 times during the study: at Baseline (d-7) and 2 weeks after each dose of labeled vitamin A (d14 and d58). The blood will be drawn from children and immediately wrapped on aluminum foil and placed in a cooler while in the field. The blood samples will be transported to the lab and treated under dim light (centrifugate and separation in cryogenic vials). C - reactive protein (CRP) and alpha-1 acid glycoprotein (AGP) will be measured by Elisa method. Serum retinol measurement will be done by HPLC after ethanol hexane extraction with 200 µl of serum and vitamin A total body stores by GC-MS. Others micronutrient determination will be done as Iron (ferritin by Enzyme Linked Fluorescent Assay (ELFA)) and Zn (Atomic Absorption Spectrophotometer by flame). Anemia will be assessed by measuring hemoglobin (Hb) in whole blood using a HemoCue system (Hb-301) and malaria parasitemia will be measured using Rapid Diagnostic tests (RDT) Statistical analyses will be carried out with STATA / SE (Special Edition, Stata Corporation, Texas, USA). The results will be expressed as mean ± standard deviation and percentages. The variables with non Gaussian distributions will undergo a logarithmic transformation and will be expressed in geometric mean ± standard deviation. The analysis of variance (ANOVA) associated with a posteriori test (Bonferroni) will be used for repeated measures and Student's t test will be used for comparison of means. The Chi² test will be used for percentages comparison. The relationship between quantitative variables will be assessed with the Pearson correlation coefficient. Multiple and logistic regression will be performed to identify the socio-economic, health and dietary determinants of vitamin A status, evaluate their contributions and their influence on the risk of vitamin A deficiency. For all these statistical analysis, a significance level of 0.05 will be applied.