Browsing by Author "Azupogo, F."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Agro-ecological zone and farm diversity are factors associated with haemoglobin and anaemia among rural school-aged children and adolescents in Ghana
    (Maternal and Child Nutrition, 2018-07) Azupogo, F.; Aurino, E.; Gelli, A.; Bosompem, K.M.; Ayi, I.; Osendarp, S.J.M.; Brouwer, I.D.; Folson, G.
    Understanding contextual risk factors for haemoglobin (Hb) status and anaemia of rural school-aged children (SAC) and adolescents is critical in developing appropriate interventions to prevent anaemia. We analysed secondary data from the baseline of an impact evaluation of the Ghana School Feeding Programme to determine the severity of anaemia and contextual factors associated with anaemia and Hb status among rural SAC (6-9 years; n = 323) and adolescents (10-17 years; n = 319) in Ghana. We used regression models with variable selection based on backward elimination in our analyses. The mean Hb was 113.8 ± 13.1 g/L, and the overall prevalence of anaemia was 52.3%, being 55.1% and 49.5% among SAC and adolescents, respectively. We identified child's age (β = 2.21, P < 0.001); farm diversity score (β = 0.59, P = 0.036); and agro-ecological zone (P trend <0.001) as the main predictors of Hb of SAC. Household asset index (P trend = 0.042) and agro-ecological zone (P trend <0.001) were predictors of Hb in adolescents. Agro-ecological zone and age were pre-dictors of anaemia, but the effect of age was only significant for girls and not boys (prevalence odds ratio [POR] = 1.35, 95% CI [1.04, 1.76] vs. POR = 1.14, 95% CI [0.88, 1.46]). SAC in households with maize stock were less likely to be anaemic (POR = 0.55, 95% CI [0.32, 0.97]). Household dietary diversity score (β = 0.59, P = 0.033) was associated with Hb status for the full sample only. Anaemia is a severe public health problem among SAC and adolescents in rural Ghana irrespective of sex. Farm diversity score, availability of maize stock in the household, household asset index, and agro-ecological zone were the main predictors of Hb and anaemia among the rural SAC and adolescents.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  • Thumbnail Image
    Item
    Diet Modelling in the Development of a Healthy Diet for the Ghanaian Population
    (African Journal of Food, Agriculture and Development, 2023) Azupogo, F.; Agbemafle, I.; Owusu, R.; Wijesinha-Bettoni, R.; Addy, P.; Aryeetey, R.
    Diet modelling is one of the important steps in developing food-based dietary guidelines (FBDGs). However, this component remains uncommon in the FBDGs of many low-and middle-income countries. A diet modelling package (DietSolve) provided by the Food and Agriculture Organization (FAO) was used to formulate a healthy diet based on estimating the daily proportions of food groups that best meet the dietary goals established for the FBDGs for Ghana. Input data for the modelling included a list of commonly eaten foods across the agreed food groups, nutrient and energy content of the foods, current energy and nutrient consumption, and energy and nutrient constraints linked to the dietary goals, as determined by the FBDG multi-Sectoral Technical Task Team (MTTT). The modelling was based on assumptions and constraints including a total daily dietary energy target of 2000 kcal/day; the percentage contribution (energy targets) of the macronutrients as follows: carbohydrates (55-70%), protein (10-20 %), and fat (20-30%) to the total energy target; and calcium (1100 mg/day), iron (20 mg/day), and zinc (11 mg/day) constraints. The situation analysis and evidence review carried out as a prior step guided the diet modelling constraints. Energy contributions were also set for a serving of each food group. The final recommendations were based on food groups with each food group consisting of a variety of commonly consumed foods. The total weight of the optimized diet was estimated at 1514 g/day, including 144g/day of animal-source foods, 41.5g/day of discretionary choices, 226g/day of fruit, 227g/day of vegetables, 6g/day of healthy fats and oil, 198g/day of legumes, nuts, and seeds, and 672g/day of staples. This food group composition will provide an estimated 2639 kcal/day, a deviation of about 32% above the energy target set, made up of ~59% from carbohydrates, ~15% from protein and ~25% from fat, and meeting/exceeding the micronutrient targets set. The Optimised diet is healthier compared to the present dietary patterns of the population; its lower ASF component is known to impact less on the environment.