Literature DB >> 35720794

The association between food groups and childhood anemia in Zambia, based on the analysis of Zambia Demographic and Health Survey 2018.

Emi Kobayashi1, Bharat Negi2, Minato Nakazawa2.   

Abstract

High prevalence of anemia among children has been an important public health concern globally. In Zambia, the prevalence of anemia among children aged 6-59 months was 58%. Previous studies have suggested that feeding a variety of food prevents anemia. However, it is not yet determined if out of several food groups available locally, some foods have played crucial roles in anemia among young children. The objective of this study was to find out the food groups that were associated with childhood anemia among Zambian children aged 6-59 months. We have obtained the individual- level data related to health and nutrition of the Zambia Demographic Health Survey (ZDHS) 2018 with permission. Children's feeding, demographic, and household information were analyzed using logistic regression models. Children who consumed food made from grains (AOR:1.2; 95%CI: 1.01-1.46; p=0.044) and cheese or food made from milk (AOR:2.7; 95%CI: 1.19-6.00; p=0.018) showed relatively higher prevalence of anemia than those who did not. Additionally, malnutrition, mother's anemia and education, and area of living were also significantly associated with prevalence of anemia. Most common food in Zambia is food made from grain. Grain consists of phytic acids which can prevent iron absorption. This is a potential reason for the highlevel anemia among children. Dephytinization strategies should be considered through further studies. ©Copyright: the Author(s).

Entities:  

Keywords:  Anemia; Child health; Food groups; Malnutrition; Zambia

Year:  2022        PMID: 35720794      PMCID: PMC9202468          DOI: 10.4081/jphia.2022.2199

Source DB:  PubMed          Journal:  J Public Health Afr        ISSN: 2038-9922


Introduction

Anemia among children has been an important public health concern, especially in developing countries. In 2019, anemia prevalence was 39.8% in children aged 6-59 months. This equates to 269 million children with anemia globally with the highest percentages in the African Region, followed by South East Asian Region.[1] Over the last two decades the WHO has recognized anemia prevalence among children to have gradually decreased from 48% in 2000 to 41.8% in 2010. The trend remained almost stagnant in the next decade.[2] Anemia, low level of the hemoglobin in the blood, is caused by various factors that may be interlinked or complex. Iron deficiency is a common cause of anemia and is estimated to be responsible for half of all anemia cases in women and children globally. [3] Deficiencies of other nutrients such as cobalamin and folic acid also cause anemia. Haemoglobinopathies and infectious diseases, and some genetic features such as thalassemia, sickle cell and G6PD deficiency also cause anemia. Anemia may result in serious concern for children that can impair their cognitive development.[4] According to the Zambia Demographic Health Survey (ZDHS) 2018, the prevalence of anemia among children age 6-59 months was 58% with no urban-rural difference. [5] A study reported that anemia was strongly linked to malaria and inflammation. [6] Infant and young child feeding (IYCF) practices are not only very important for the appropriate growth and development but also beneficial for the minimizing health risks such as anaemia.[5] IYCF has three factors; minimum dietary diversity, minimum meal frequency, and minimum acceptable diet. The WHO Minimum Acceptable Diet recommendation is a combination of Minimum Dietary Diversity and Minimum Meal Frequency. These recommendations and appropriate milk feeds together constitute a child’s Minimum Acceptable Diet.[7] According to the findings of ZDHS, the proportion of children age 6-23 months who receive acceptable diet was 12.5% and it was higher among breastfed children (15.6%) than among non-breastfed children (3.8%). Moreover, urban areas had more children who were fed minimum acceptable diet than rural areas, and there were remarkable differences (18.4-9.3%) by province as well.[5] Previous studies revealed that infants need to consume a variety of foods to prevent anemia. A study in China concluded that consumption of the diverse and multinutrient- powder diets reduced the risk of anemia.[8] For the low-income households, regular consumptions of a variety of foods may not be possible. However, some food groups may be regularly available and affordable to the local low-income households. Therefore, the objective of this study was to find out the food groups that were associated with childhood anemia among Zambian children aged 6-59 months.

Materials and Methods

Data source and sampling

We obtained the data from the Zambia Demographic Health Survey 2018 (ZDHS- 2018) with permission from the Demographic and Health Surveys (DHS) Program. The ZDHS-2018 followed a stratified two-stage sample design. In the first stage, 545 clusters were selected. From each of the cluster, a fixed number of 25 households was selected in the second stage. In total, 13,625 households were finally selected ensuring national representativeness at provincial, urban, and rural level. All women of age 15-49 and men of age 15-59 who stayed in the selected household were eligible to be interviewed.[5] In this study, we created children’s dataset from ZDHS-2018 merged from 3 separate datasets, children’s dataset, women’s dataset and household dataset. The data of children that had missing information on either food groups or anemia was excluded. Final sample size after eliminating missing values was 4,158 that was analyzed for this study.

Measures

Primary outcome of this study was the anemia among children aged 6-59 months. The test for anemia was conducted to all children aged 6-59 and women aged 15-49 who consented. Hemoglobin level was measured on-site using a battery-operated portable HemoCue 201+ analyser. Children whose hemoglobin concentration was less than 110 g/L were classified as anemia. The physiological neonatal anemia was not included in this study because the anemia test was conducted only to children aged 6-59 months. The anemia risk factors consisted of food groups, vitamin supplementation, and deworming and thus we used those variables. Socio-demographic characteristics such as age, sex, occupation, economic status, area of residence, malnutrition, educational level of mother, and other social factors were also included. In addition, health problems of children and mothers were included. However, due to the reasons that all respondents gave the same answer (tobacco use of mother and owning livestock) or all answers were missing (malaria), we could not use some potentially important variables for the analysis. Inappropriate and incomplete data were eliminated from the study. General characteristics of the final screened characteristics of both child and mother are presented in the table below using percentage, proportion, and mean and standard deviation. To assess the association between child anemia and other variables, multivariate logistic regression was applied. As there was a large list of variables, we included only the variables in the multivariate logistic regression model that meet the p-value less than 0.1 in bivariate logistic regressions with child anemia using forward stepwise selection method. Variables with the p-value less than 0.05 were considered statistically significant in the multivariate logistic regression analysis. Statistical analysis was performed using Jamovi version 2.0.0.0. statistical software.[9,10]

Ethical considerations

Permission to use the de-identified data for secondary analysis was obtained from the DHS Program.

Results

General characteristics

Table 1 shows the general demographic and mother’s characteristics. Mother’s and household characteristics revealing that around 66% of mothers at the time of childbirth, belonged to 20-34 age group. Among all mothers, around 11% were uneducated and 43.6% were unemployed. Prevalence of anemia among mothers was 26.6% and 1.5% of the mothers had never breastfed the child. Moreover, 57.5% of mothers had no access to health services.
Table 1.

General demographic and mother's characteristics.

CharacteristicsNo.%
Province
    Central3929.4
    Copperbelt3328.0
    Eastern53512.9
    Luapula53913.0
    Lusaka3919.4
    Muchinga3658.8
    North Western3368.1
    Northern48511.7
    Southern42710.3
    Western3568.6
Residence
    Rural305773.5
    Urban110126.5
Age of mother at birth (year)
    <2090221.7
    20-34276166.4
    >=3549511.9
Anemia
    No303573.4
    Yes110126.6
Education
    No education46911.3
    Primary education227454.7
    Secondary education and Higher141534.0
Marital status
    Married341082.0
    Living with partner140.3
    Divorced/Separated/Widowed3648.8
    Never in union3709
Occupation
    Currently working191646.1
    On leave781.9
    In the past3508.4
    Not working181443.6
Household Wealth
    Poor241658.1
    Middle78418.9
    Rich95823
Owning livestock
    No00
    Yes4158100
Owning agricultural land
    No149936.1
    Yes265963.9
Accessing Health Service
    No176642.5
    Yes239257.5
Source of drinking water
    No109226.3
    Yes306473.7
Breastfeeding
    Never breastfed611.5
    Still breastfed185244.5
    Ever breastfed, not currently breastfeeding224554
General demographic and mother's characteristics. Table 2 shows the general characteristics of the children. Among the study of children, around 50% were female. Similarly, 40.5% children were below 18 months. Out of 4158 children assessed in this study, the prevalence of anemia, stunting, wasting and low birthweight were 65.9%, 36.6%, 13.1% and 8.7%, respectively. Vitamin A supplementation coverage was 70%, while only 10.5% of the children had taken iron pills and slightly over half (55.6%) of the children took deworming tablets. 73% of household had improved drinking water source.
Table 2.

General characteristics of children.

CharacteristicsNo.%
Age (months)
    <18168540.5
    18-35114827.6
    36-59132531.9
Sex
    Male209050.3
    Female206849.7
Anemia
    No141834.1
    Yes274065.9
Stunting
    No261163.4
    Yes150736.6
Current weight status
    Underweight1543.7
    Overweight1894.6
    Normal377891.7
Wasting
    No361086.9
    Yes54513.1
Diarrhea (in last 2 weeks)
    No320079.2
    Yes84020.8
Fever (in last 2 weeks)
    No329381.5
    Yes74618.5
Weight of baby at birth
    <25002788.7
    >=2500291591.3
Vitamin A
    No121130.0
    Yes282070.0
Iron pills
    No360789.5
    Yes42510.5
Deworming
    No179044.4
    Yes224655.6
Salt iodine
    No117932.3
    Yes246967.7
Table 3 shows the food groups fed to the child on the previous day of the survey. The variety of food consumption was low among Zambian children: The mean value of food variety was 4.53. Besides plain water, the most consumed food group was food made from grains (70.9%) followed by any dark green leafy vegetable (51.1%), other solid, semi-solid or soft food (34.1%), and clear broth (28.6%).
Table 3.

Foods that were fed to the children in the last 24 hours.

CharacteristicsNo.%
Plain water
    No59214.2
    Yes356685.8
Juice or juice drinks
    No359986.6
    Yes55913.4
Milk such as tinned, powdered, or fresh animal milk
    No397995.7
    Yes1794.3
Infant formula
    No410898.8
    Yes501.2
Any provita, delight, cerelac, soya porridge
    No362787.2
    Yes53112.8
Clear broth
    No296771.4
    Yes119128.6
Any other liquid
    No350684.3
    Yes65215.7
Foods made from grains
    No121029.1
    Yes294870.9
Foods made from roots
    No374890.1
    Yes4109.9
Eggs
    No348683.8
    Yes67216.2
Any meats
    No357786.0
    Yes58114.0
Pumpkin, carrots, squash or sweet potatoes (Vitamin A)
    No384192.4
    Yes3177.6
Any dark green, leafy vegetables
    No203448.9
    Yes212451.1
Ripe mangoes, paw, apricot, watermelon
    No366188.0
    Yes49712.0
Other Fruits or Vegetables
    No320677.1
    Yes95222.9
Organ meats
    No400996.4
    Yes1493.6
Fresh or dried fish or shellfish
    No321177.2
    Yes94722.8
Foods made from beans, peas, lentils or nuts
    No335980.8
    Yes79919.2
Cheese or food made from milk
    No411599.0
    Yes431.0
Other solid, semi-solid or soft food
    No273965.9
    Yes141934.1
Caterpillars, other insects or other small protein foods
    No404297.2
    Yes1162.8
Yogurt
    No402197
    Yes1373
Number of food variety4.532.7
Table 4 shows the result of multivariate logistic regression analysis that presents the factors associated with anemia of children. This study could not find any statistical association between food groups and anemia in children. However, the children who took the foods made from grains (AOR:1.2; 95%CI: 1.01-1.46; p=0.044) and cheese or the foods made from milk (AOR:2.7; 95%CI: 1.19-6.00; p=0.018) had higher prevalence of anemia than those who didn’t take those. Similarly, the children who were stunting and wasting showed higher prevalence of anemia than those who were not stunting and wasting (AOR:1.3; 95%CI: 1.09-1.51; p=0.002 and AOR:1.3; 95%CI: 1.05-1.73; p=0.019, respectively)
Table 4.

Associated factors of anemia of children.

PredictorOdds ratio95%CIp-value
LowerUpper
Age (month)
    <181.0
    18-350.70.550.870.002
    36-590.30.260.45<0.001
Residence (Province)
    Lusaka1.0
    Central1.00.721.300.900
    Copperbelt1.51.102.130.012
    Eastern1.20.891.600.247
    Luapula2.21.583.03<0.001
    Muchinga1.00.751.440.808
    North Western1.71.232.430.002
    Northern1.41.031.940.033
    Southern1.20.891.630.241
    Western1.51.062.100.023
Stunting
    No1.0
    Yes1.31.091.510.002
Wasting
    No1.0
    Yes1.31.051.730.019
Underweight/Overweight
    Normal1.0
    Underweight1.10.751.680.579
    Overweight1.00.701.390.950
Mother's anemia
    No1.0
    Yes1.71.411.95<0.001
Mother's education
    No education1.0
    Primary education0.70.520.84<0.001
    Secondary education and higher0.70.540.900.006
Plain water
    No1.0
    Yes1.10.871.420.389
Clear broth
    No1.0
    Yes1.10.901.300.389
Foods made from grains
    No1.0
    Yes1.21.011.460.044
Fresh or dried fish or shellfish
    No1.0
    Yes1.00.791.150.608
Cheese or food made from milk
    No1.0
    Yes2.71.196.000.018

Note: This model is adjusted for breastfeeding, childhood diarrhea, Fever, Mother's marital status, no of food varieties given to children and deworming pills provided to children.

Discussions

In this study, we found the significant associations of anemia with the consumption of two food groups (grains and milk products), stunting, wasting, and born from an anemic mother. Consumption of foods made from grains as a staple food in Zambia is common and maize is mostly used.[11] This study showed that around 71% of children consumed food made from grain. Studies have reported that phytic acid present in the cereal or grain inhibits bioavailability of certain minerals including iron. Phytic acid bounds with metal ions such as iron, calcium, and zinc resulting in insoluble complexes in gastrointestinal tract unavailable for absorption into circulation.[12,13] Studies reported that complimentary food that include mainly maize is introduced in very young children i.e., between 4-6 months.[14] The nutritional component of maize is mainly made by starch which is generally up to 80% of the dry weight and protein 10-15% of dry weight.[15] Maize is reach in phosphorus (60-80%) in the form of phytic acid.[16] The nature of phytic acid that inhibits iron absorption in the gut may be resulting in anemia among children in Zambia. People in Zambia take almost half of energy (48.2%) from maize.[11] So, the methods to reduce the phytate in the food made from grain will be necessary in Zambia to prevent from anemia. Some measures such as soaking, germination, fermentation, and pounding are the process for dephytinization at the household level and it can remove only about 50% of the phytate in plant-based foods. As the manufactured products, dephytinization of grains can be achieved completely by using either exogenous or intrinsic phytases. Dephytinization for the commercial products could significantly enhance the absorption of iron and zinc.[17]A better approach to use the maize or food made from grain is dephytinization strategies such as soaking, fermentation, or pounding to prevent iron absorption inhibition activities in the gut minimizing risk of anemia. Although cheese or milk products were eaten at the lowest frequency (1%) among the foods fed to children in Zambia, our study showed that the consumption of cheese or food made from milk were associated with anemia among children. So far, several studies have found that cow’s milk cause iron deficiency anemia as the cow’s milk inhibits the iron absorption.[18,19] However, to the best of our knowledge, the association between anemia and the consumption of milk products has not yet been reported. We suggest two considerable reasons behind the 2.7 times higher risk of anemia among the children who consumed cheese or food made from milk than those who didn’t take those. Firstly, caseinophosphopeptides (CPP) that are found in the milk reduces the absorption of iron. Previous research has reported that αs-CPP, β-CPP, and αs -CPP reduces the iron absorption. [20] Secondly, calcium which is one of the main minerals in milk products had the inhibitory effect on iron absorption when consumed along with milk products. That is why the foods which have the source of the dietary iron is not recommended to be consumed with milk products for children.[21] General characteristics of children. Besides the food groups, other factors such as malnutrition, mother’s anemia and education, and area of living were significantly associated with anemia. Similar results were already reported in many studies that malnutrition, mother’s anemia and mother’s education were associated with anemia among children.[22] The provinces of Zambia, which had significantly more anemia prevalence among children than that of Lusaka were children living in Copperbelt, Luapula, North Western, Northern and Western provinces. This finding matched with the previous study that, due to the geographical differences such as Luapula, Northern and North Western being mountainous, the children living there showed more underweight than Western province, where more children were underweight than Lusaka.[23] This study was based on secondary data analysis of ZDHS-2018. Child feeding information was asked for the previous 24 hours only and therefore, that might not reflect the participants’ daily diet. Moreover, the frequencies of consumptions of some food groups such as cheese or milk products were very low. We cannot speculate any specific reason but only 1% of children who took cheese or milk products might be in a very special subgroup among Zambia children. In such condition this food group may not show true association with anemia of children.

Conclusions

Our study revealed that food made from grains and cheese or food made from milk were significantly associated with the anemia among children in Zambia. It may not be wise to recommend avoiding maize, which is one of the grains that is widely fed to children as a staple food and is major source of energy in Zambia. Foods that were fed to the children in the last 24 hours. Associated factors of anemia of children. Note: This model is adjusted for breastfeeding, childhood diarrhea, Fever, Mother's marital status, no of food varieties given to children and deworming pills provided to children.
  14 in total

1.  Iron status of children in southern Sweden: effects of cow's milk and follow-on formula.

Authors:  A C Bramhagen; I Axelsson
Journal:  Acta Paediatr       Date:  1999-12       Impact factor: 2.299

2.  Milk proteins and iron absorption: contrasting effects of different caseinophosphopeptides.

Authors:  Ida B Kibangou; Saïd Bouhallab; Gwénaële Henry; François Bureau; Stéphane Allouche; Anne Blais; Patricia Guérin; Pierre Arhan; Dominique L Bouglé
Journal:  Pediatr Res       Date:  2005-10       Impact factor: 3.756

3.  Relative Contributions of Malaria, Inflammation, and Deficiencies of Iron and Vitamin A to the Burden of Anemia during Low and High Malaria Seasons in Rural Zambian Children.

Authors:  Maxwell A Barffour; Kerry J Schulze; Ng'andwe Kalungwana; William J Moss; Keith P West; Justin Chileshe; Ward Siamusantu; Amanda C Palmer
Journal:  J Pediatr       Date:  2019-08-08       Impact factor: 4.406

4.  Vitamin A and anthropometric status of South African preschool children from four areas with known distinct eating patterns.

Authors:  Mieke Faber; Paul J van Jaarsveld; Ernie Kunneke; H Salomé Kruger; Serina E Schoeman; Martha E van Stuijvenberg
Journal:  Nutrition       Date:  2014-05-10       Impact factor: 4.008

5.  Degradation of phytic acid in cereal porridges improves iron absorption by human subjects.

Authors:  Richard F Hurrell; Manju B Reddy; Marcel-A Juillerat; James D Cook
Journal:  Am J Clin Nutr       Date:  2003-05       Impact factor: 7.045

Review 6.  A review of phytate, iron, zinc, and calcium concentrations in plant-based complementary foods used in low-income countries and implications for bioavailability.

Authors:  Rosalind S Gibson; Karl B Bailey; Michelle Gibbs; Elaine L Ferguson
Journal:  Food Nutr Bull       Date:  2010-06       Impact factor: 2.069

7.  Inhibition of haem-iron absorption in man by calcium.

Authors:  L Hallberg; L Rossander-Hulthén; M Brune; A Gleerup
Journal:  Br J Nutr       Date:  1993-03       Impact factor: 3.718

8.  Associations between dietary patterns and anaemia in 6- to 23-month-old infants in central South China.

Authors:  Shao-Hui Zou; Yuan Liu; Ai-Bing Zheng; Zhi Huang
Journal:  BMC Public Health       Date:  2021-04-09       Impact factor: 3.295

9.  Association between Anaemia in Children 6 to 23 Months Old and Child, Mother, Household and Feeding Indicators.

Authors:  Alberto Prieto-Patron; Klazine Van der Horst; Zsuzsa V Hutton; Patrick Detzel
Journal:  Nutrients       Date:  2018-09-08       Impact factor: 5.717

Review 10.  A review of micronutrient deficiencies and analysis of maize contribution to nutrient requirements of women and children in Eastern and Southern Africa.

Authors:  Y J H Galani; C Orfila; Y Y Gong
Journal:  Crit Rev Food Sci Nutr       Date:  2020-11-12       Impact factor: 11.176

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