Journal of Nutrition and Metabolism

Journal of Nutrition and Metabolism / 2019 / Article

Research Article | Open Access

Volume 2019 |Article ID 1049820 |

Emmanuel Oladeji Alamu, Therese Gondwe, Toluwalope Emmanuel Eyinla, Busie Maziya-Dixon, "Assessment of Dietary Diversity of Mothers and Children of 6–24 Months from Eastern and Southern Provinces of Zambia", Journal of Nutrition and Metabolism, vol. 2019, Article ID 1049820, 9 pages, 2019.

Assessment of Dietary Diversity of Mothers and Children of 6–24 Months from Eastern and Southern Provinces of Zambia

Academic Editor: Mohammed S. Razzaque
Received03 Mar 2019
Accepted18 Jun 2019
Published03 Jul 2019


In-depth information on dietary diversity and food consumption patterns in Zambian households is still scarce. This study, therefore, probed dietary intakes of mothers and their children living in households of two Zambian districts, Chipata and Monze, located in the eastern and southern provinces of Zambia, respectively. After assessing their diet, Dietary Diversity Scores (DDSs) were calculated and classified into low and high categories, while correlations were used to test determinants of DDS. The assessment revealed that the consumption of cereal-based products ranked highest in frequency. Specifically, the consumption of maize-based foods was highest in Chipata (55.43%) and then in Monze (43.56%) households. There was an observed low preference for mixed dishes that were not either maize or groundnut porridges. We also found positive and negative correlations of DDS with the educational level of household heads and age of mothers, respectively. We, therefore, suggest that increased nutrition education may improve dietary preferences, so also further investigation into other factors hindering low choices for mixed recipes will be useful in increasing overall diet quality.

1. Introduction

Food consumption data are essential sources for tracking information on household food insecurity and nutrition outcomes, especially when the quality of diet is highlighted. One of the key elements of assessing diet quality of populations is to measure the variety and type of their consumed foods [1]. This variety of food consumption is usually referred to as dietary diversity. Dietary diversity is a qualitative measure of food consumption that shows nutrient adequacy of the diet of individuals and households [2, 3]. Considering that over 40 nutrients are needed in the human diet for best nutrition and well-being [4], a different combination of foods from various food groups is required to help meet individual nutritional requirements and promote good health [2, 5]. Measuring dietary diversity has been found as a useful tool for the rapid assessment of food security and nutritional status in low-income settings [6, 7]. Increasing dietary diversity is a proven intervention that improves nutrient adequacy in children aged 6 months to 2 years [2]. Nutrient-rich foods from different diets are essential elements in child feeding that support dietary needs and adequate growth during their early years of life. Dietary diversity has been established as a significant predictor of growth, as illustrated by an analysis of Demographic and Health Survey data from children aged 6–24 months in 11 countries in Africa and Latin America [3]. Intake of a diverse variety of foods has been a recommendation for achieving adequate nutrient intake, and the advice appears in the dietary guidelines of many countries. Several factors can hinder diversification of diets, especially among poor populations of developing countries.

In most cases, it hinges on the availability of food and the corresponding economic or physical access. While there is evidence that socioeconomic constraints can affect eating a varied diet [8, 9], it is unclear if the sociodemographic characteristics of a population influence the choice of food and dietary diversity. A survey evaluating the nutrition and food diversity among smallholder farmers found high food insecurity and low crop and diet diversity among farmers three months after harvest [10]. There is, however, an association between improved child dietary diversity and increased maternal nutritional diversity knowledge and practice [10]. The studies were either limited in sampling only some regions or targeted farming households only and did not probe the diversification of diets in mother-child pairs. This study, therefore, aimed to assess mother-child pairs with a focus on dietary intake, food frequency, and associated factors affecting dietary in children aged 6–24 months in Chipata and Monze districts in the Eastern and Southern provinces of Zambia, respectively.

2. Methodology

2.1. Study Design

A cross-sectional study design was used, and households with children aged 6–24 months were randomly selected from the database of children (<5 yrs) registered at the respective district clinic; a total of 200 households were selected from each of the two districts making a total of 400 households. This selection was based on random sampling with the criteria being voluntary participation. A structured questionnaire was used to collect information on household demographics and food consumption twice at 3-month intervals.

2.2. Sampling and Sample Size

The sampling unit for the study was households with children aged 6 to 24 months. The youngest child within the household was selected, and if there were more than a mother/caregiver in the household, the most senior was selected. The two districts were chosen purposely, due to their high stunting levels, and the eight camps from each district were randomly selected. The selected households (400) for the study were verified and registered at 16 camps from both Chipata and Monze districts in Eastern and Southern Zambia, respectively. The households were accorded household numbers purposely for first and subsequent data collections. The eight camps from Chipata were coded 01 to 08 and those from Monze camps were coded 09 to 16. Each household was assigned a unique household number.

2.3. Data Collection

The trained local field workers performed data collection with a pretested questionnaire. A total of 16 field workers from the two districts were trained on the 24-hour multipass recall dietary assessment tool. Data on dietary intake were assessed using the multipass 24-hour dietary recall method. The interview was repeated twice at 3-month intervals. Field workers carried various samples of foods, scales, spoons, cups, small food containers, etc. and used these to estimate amounts consumed. The data collected for the two periods were used to generate dietary diversity scores (DDSs) as a measure of diet quality. The mothers supplied the dietary intake information and pattern for the children. Total DDSs amounted to a minimum of one to a maximum of eight. From the repeated dietary recall, the number of times a food was consumed was taken as a single count. The different foods were accounted for, and the portion sizes averaged.

2.4. Ethics

Ethical clearance approval was obtained from the University of Zambia Biomedical Research Ethics Committee (UNZABREC) with assurance no. FWA00000338 and approval no. IRB00001131 of IORG0000774, and the final authority was obtained from the Ministry of Health. The mother of the selected child was informed about the nature of the study. Respondent participation in the study was voluntary with voluntary informed consent requested from households. Questionnaires were administered after the families agreed to participate in the study.

3. Data Processing and Statistical Analysis

The data were analysed using SAS version 9.3. Food frequency, amounts of foods consumed (g), and DDS were calculated by summing the number of unique food groups consumed by the child in the 24-hour period. Pearson’s correlations analysis of DDS and sociodemographic characteristics were run. A food frequency of 10 was used as the cutoff point, which accounted for 95% of the food consumed by the participants. Mean ± SD value for the weight of each food variety consumed was computed. The classification of the Dietary Diversity Score (DDS) into low and high categories was adapted from [2] with slight modifications. The ranges used were 1 to 4 foods for Low DDS and 5 to 8 foods for High DDS.

4. Results

4.1. Sociodemographic Characteristics of Respondents: Households’ Heads and Mothers

The mean age of household heads selected for this study was 35.6 ± 11.72 years (range 17–86 years) for Chipata and 40.4 ± 15.8 years (range 17–94 years) for Monze, while the mean age for mothers was 26.9 ± 8.17 years (range 15–50 years) for Chipata and 27.20 ± 7.95 years (range 15–49 years) for Monze (Table 1). Table 1 also shows the marital status and educational levels of household heads (HHs) and mothers. About 40.57% (Chipata, ) and 28.57% (Monze, ) of HH were married monogamously, while 6.86% (Chipata, ) and 8.71% (Monze, ) married polygamously. Mothers that participated in this study were married monogamously (Chipata, 38%, ; Monze, 25%, ) or married polygamously (Chipata, 3.86%, ; Monze, 7.43%, ).

AgeMean ± SDMin.Max.

Age of HHs (yr)39235.6 ± 11.721786
30440.4 ± 15.81794
Age of mothers (yr)39226.9 ± 8.171550
30427.2 ± 7.951549
Chipata percent (N)Monze percent (N)
Marital status
Head of householdSingle3.14 (22)1 (7)
Married, monogamously40.57 (284)28.57 (200)
Married, polygamously6.86 (48)8.71 (61)
Separated0.57 (4)1.43 (10)
Divorced1.43 (10)1 (7)
Widow(er)3.57 (25)3.14 (22)
MothersSingle10 (70)8.43 (59)
Married, monogamously38 (266)25 (175)
Married, polygamously3.86 (27)7.43 (52)
Separated0.86 (6)0.86 (6)
Divorced2.29 (16)1.71 (12)
Widow(er)1.14 (8)0.43 (3)
Educational level
Head of householdNone7.29 (51)1.86 (13)
Primary not completed19.43 (136)8.71 (61)
Primary completed15.14 (106)12.43 (87)
Secondary not completed10 (70)16.71 (117)
Secondary completed3.71 (26)3.29 (23)
Tertiary not completed0.14 (1)0.14 (1)
Tertiary completed0.29 (2)0.43 (3)
University completed0.14 (1)0.29 (2)
MothersNone8.43 (59)1.29 (9)
Primary not completed23 (161)10.86 (76)
Primary completed12.71 (89)11.86 (83)
Secondary not completed11.43 (80)18.86 (132)
Secondary completed0.29 (2)0.86 (6)
Tertiary not completed0.14 (1)0.14 (1)
University completed0.14 (1)0 (0)

The educational status of the respondents shows that most of the HHs had not completed primary school (Chipata, 19.43%, ; Monze, 8.71%, ) or had completed primary school (Chipata, 15.14%, ; Monze, 12.43%, ). Some HHs from Monze (16.71%) had not completed secondary education. Only 0.14% and 0.29% had completed university education in Chipata and Monze districts, respectively. However, the educational status of mothers was like that of HHs. Most mothers had not completed primary school (Chipata, 23%, ; Monze, 10.86%, ), some had completed primary school (Chipata, 12.71%, ; Monze, 11.86%, ), and others had not completed secondary school (Chipata, 11.43%, ; Monze, 18.86%, ). About 8.43% and 1.29% had no education at all in Chipata and Monze districts, respectively. Most of the HHs and mothers from the households used for this study had a low level of education, and this could have a major impact on the selection of foods consumed by households.

4.2. Household Consumption of Common Foods (Maize-Based and Groundnut-Based) in Chipata and Monze

Table 2 presents information on the household consumption of maize-based foods in Chipata and Monze. About 55.43% () and 43.56% () of households consumed maize-based foods daily across the two districts. Most households consumed mostly maize + groundnut porridge (Chipata, 53.66%, ; Monze, 39.31%, ) and plain maize porridge (Chipata, 44.97%, ; Monze, 37.52%, ). However, the least consumed of all maize-based foods were maize + bean porridge (Chipata, 1.66%, ; Monze, 4.69%, ) and maize + fish porridge (Chipata, 0.41%, ; Monze, 2.76%, ). This study shows that most households did not consume maize-based foods fortified with other sources of protein (beans and fish). Moreover, groundnut-based recipes were consumed daily by Chipata respondents (22.21%, ) compared to 6.65% () recorded for Monze respondents, while 20.51% () and 22.49% () consumed it only 2 to 3 times daily for Chipata and Monze, respectively (Table 2). A preference for groundnut + leafy vegetables was observed to have the highest positive response of 48.69% and 39.17% in Chipata and Monze districts, respectively. The consumption of porridge made from combinations of groundnut with staple crops, such as rice, cassava, and sweet potato, was very low. The major foods consumed were maize + groundnut based, and this could be because they are the major crops grown in the two districts and thus formed a major part of their diet.

ResponsesChipata percent (N)Monze percent (N)

Maize-based foods
Frequency consumptionDaily55.43 (383)43.56 (301)
2-3 times a week0.43 (3)0 (0)
Rarely0.43 (3)0 (0)
Maize and groundnut porridgeYes53.66 (389)39.31 (285)
No3.59 (26)3.45 (25)
Maize and bean porridgeYes1.66 (12)4.69 (34)
No55.59 (403)38.07 (276)
Maize and fish porridgeYes0.41 (3)2.76 (20)
No56.83 (412)40 (290)
Fresh maize and fresh groundnut porridgeYes0.83 (6)8.97 (65)
No56.41 (409)33.79 (245)
Plain maize porridgeYes44.97 (326)37.52 (272)
No12.28 (89)5.24 (38)
OthersYes5.93 (43)30.90 (224)
No51.31 (372)11.86 (86)
Groundnut based foods
Frequency of consumptionDaily22.21 (157)6.65 (47)
2-3 times a week20.51 (145)22.49 (159)
Weekly2.69 (19)3.25 (23)
Monthly1.41 (10)3.68 (26)
Maize and groundnut porridgeYes52.55 (381)40.14 (291)
No4.69 (34)2.62 (19)
Sweet potato and groundnut porridgeYes6.21 (45)6.90 (50)
No51.03 (370)35.86 (260)
Rice and groundnut porridgeYes4.41 (32)3.31 (24)
No52.83 (383)39.45 (286)
Cassava and groundnut porridgeYes0 (0)0.83 (6)
No57.24 (415)41.93 (304)
Fresh maize and fresh groundnut porridgeYes0.83 (6)7.72 (56)
No56.41 (409)35.03 (254)
Groundnut and leafy vegetablesYes48.69 (353)39.17 (284)
No8.55 (62)3.59 (26)
Groundnut and nonleafy vegetablesYes14.62 (106)14.9 (108)
No42.62 (309)27.86 (202)
Groundnut and pumpkin porridgeYes10.76 (78)2.76 (20)
No46.48 (337)40 (290)
OthersYes1.79 (13)18.07 (131)
No55.45 (402)24.69 (179)

4.3. Food Frequency () and Weight (Grams) of Foods Consumed by Mothers and Children

The food frequency and weight of foods consumed by children from Chipata and Monze districts are presented in Tables 3 and 4. From the dietary intake assessment, seven categories of food were found: cereals and cereal-based products, legumes and legume-based products, starchy roots and tubers, fruits and vegetables, meat and fish products, eggs and egg products, and milk and milk products. The most commonly consumed food category was the cereals and cereal-based products followed by fruits and vegetables, even though the latter category had a greater variety of foods. Nshima and porridge (maize-based foods) were the most frequently consumed foods by children from the two districts with consumption of 130.1 ± 82.86 g/day () and 150.7 ± 81.56 g/day () for Chipata and 121.9 ± 65.20 g/day () and 154.3 ± 82.40 () for Monze, respectively. Green leafy vegetables such as pumpkin leaves (88.5 ± 89.36 g/per day, ), rape relish (45.9 ± 49.23 g/day, ), and rape (82 ± 72.23 g/day, ) were the most commonly consumed among children from Chipata while children from Monze District consumed cheele (216.4 ± 116.36 g/day, ) and rape (48.2 ± 28.18 g/day, ) with a median intake of 204 g and 40 g per day, respectively. The consumption of major sources of animal protein (meat and fish products, eggs and egg products, and milk and milk products) was observed to be very low for Chipata ( to 21) and Monze ( to 13). A small number of children from Chipata was fed with breast milk () the day preceding the dietary intake assessment and none from Monze, but sour milk () was found to be fed to children from both districts.

Food typeMean ± SDMedianMin.Max.CV

Cereals and cereal-based products
Nshima214130.1 ± 82.86117676463.7
Porridge (maize)209150.7 ± 81.561323255254.1
Buns4044.1 ± 35.15350.914879.7
Rice23123.7 ± 77.121091934862.3
Samp1992.3 ± 52.18952121456.5
Fresh maize1056.2 ± 34.2447.51512460.9
Fritter1441.9 ± 20.436.5198848.7
Legumes and legume-based products
Beans5071.3 ± 43.34621621460.8
Soya pieces2680.6 ± 67.56681033083.8
Starchy roots and tubers
Cassava1384.5 ± 43.57722016351.5
Sweet potato11128.3 ± 150.385720450117.2
Fruits and vegetables
Pumpkin leaves13788.5 ± 89.36574691101
Rape relish8445.9 ± 49.23309356107.2
Rape3582 ± 72.23481531388.1
Cabbage relish2846.8 ± 40.77381020587.2
Cabbage2452 ± 31.51441313760.6
Okra2470.7 ± 53.6854.51524575.9
Rape soup1364 ± 46.69591318473
Vegetable relish1038 ± 13.1541.5175634.6
Banana1065.9 ± 51.0654.51515577.5
Meat and fish products
Kapenta2155.4 ± 59.13339250106.7
Chicken1642.6 ± 31.7940.5913574.7
Eggs and egg products
Egg1241.3 ± 23.4639118456.9
Sweet beer71168 ± 79.281544350147.2
Soft drinks57139.5 ± 83.571201040259.9
Tea15196.2 ± 104.581508444553.3
Milk and milk products
Breast milk1838.8 ± 26.2130109667.6
Sour milk12138.3 ± 70.4126.57332050.9

The cutoff point of the frequency is 10 (accounts for 95% of food commonly consumed).

Food typeMean ± SDMedianMin.Max.CV

Cereals and cereal-based products
Nshima159121.9 ± 65.201122536953.5
Maize porridge145154.3 ± 82.401353261953.4
Cheele57216.4 ± 116.362043156553.8
Samp29108.7 ± 53.091022021448.9
Legumes and legume-based products
Beans3881.9 ± 38.3266.53421346.8
Fruits and vegetables
Rape5148.2 ± 28.18401817558.5
Okra3655.2 ± 19.79552210535.8
Cabbage relish2846.8 ± 40.77381020587.2
Pumpkin leaves2469.8 ± 35.56602016450.9
Rape relish2348.8 ± 56.322712216115.3
Amaranthus1961.0 ± 40.73591518666.8
Cabbage1648.6 ± 18.3339.5248537.7
Black jack1162.1 ± 24.76633110439.9
Fish and fish products
Fish1249.8 ± 57.252310210115.1
Kapenta1346.1 ± 44.42361017096.4
Eggs and egg products
Eggs1366.3 ± 58.62591121088.4
Sweet beer90201.3 ± 99.811904350149.6
Chibwantu25235.4 ± 88.4223612951637.6
Milk and milk products
Sour milk12138.3 ± 70.40126.57332050.9

The cutoff point of the frequency is 10 (accounts for 95% of food commonly consumed).

The food frequency and weight (grams) of food consumed by mothers from Chipata and Monze districts are summarised in Tables 5 and 6. The distribution and category of foods were like those obtained for the children, with the fruit and vegetable group having the highest number of food varieties (10 to 13 types) compared to other food groups. Mothers from Chipata had more foods under the legume and legume products and fruit and vegetable food groups compared to their Monze counterparts. Nshima and porridge were the most consumed cereal-based product with a mean portion size of 602.1 ± 248.09 g/day () and 371.9 ± 182.78 g/day () for Chipata mothers, while nshima (650.2 ± 288.28 g/day, ) and samp (515.5 ± 235.54 g/day, ) were mostly consumed by mothers in Monze. This study shows that nshima (maize dough) was the major food for mothers in Chipata, but samp (maize grits) was found to be the major food consumed among Monze mothers.

Food typeMean ± SDMedianMin.Max.CV

Cereals and cereal-based products
Nshima218602.1 ± 248.09604.559189041.2
Porridge(maize)142371.9 ± 182.7836099142049.1
Buns8092.6 ± 81.18761860087.6
Fresh maize33166.7 ± 161.291232790996.8
Rice17308.1 ± 169.4628513273555
Legumes and legume products
Beans70183.4 ± 74.02167.55841240.4
Soya pieces39136.9 ± 137.199422851100.2
Cowpea10200.3 ± 127.05143.510850063.4
Groundnut31122.1 ± 84.31001635769
Starchy roots and tubers
Sweet potato29325.8 ± 195.5829510490060
Cassava22229.7 ± 196.731731078585.6
Potato12323.3 ± 139.93285.514961343.3
Fruits and vegetables
Pumpkin leaves172198 ± 109.84189.51890155.5
Rape144151.2 ± 65.72136.52034143.5
Samp102495.2 ± 224.4548674113245.3
Cabbage49172 ± 73.701682831742.8
Okra41152.9 ± 91.141373943859.6
Rape relish37132.5 ± 98.431153763074.3
Cabbage relish29145 ± 74.221254734851.2
Vegetable relish19170.4 ± 84.361701732149.5
Delele16167.9 ± 152.2119.54769890.7
Banana13188.8 ± 176.841321060093.7
Mango11125 ± 82.53973029066
Meat and fish products
Kapenta40101.2 ± 76.08801831475.2
Chicken2782 ± 69.55521825684.8
Pork meat1253.3 ± 22.6845.5269742.5
Fish relish10126.1 ± 110.5682.53534687.7
Soft drink80236.3 ± 95.35244.51338540.4
Sweet beer61519 ± 248.7544467155247.9
Chibwantu10980.2 ± 333995.5546156434
Tea43317 ± 130.573182552341.2

The cutoff point of the frequency is 10 (accounts for 95% of food commonly consumed).

Food typeMean ± SDMedianMinMaxCV

Cereals and cereal-based products
Nshima177650.2 ± 288.2868610189044.3
Porridge24505.9 ± 213.33541.514191542.2
Rice13416.9 ± 198.2635612989047.6
Magwaza10314.9 ± 217.7923415383369.2
Cheele37493.2 ± 232.12468109103647.1
Legumes and legume products
Beans48208.2 ± 76.001896241236.5
Fruits and vegetables
Samp119515.5 ± 235.5449980130045.7
Rape68128.1 ± 56.03110.55031043.7
Okra59145.1 ± 69.531343943847.9
Rape relish45128.7 ± 94.631103763073.5
Cabbage relish41146.1 ± 76.251254734852.2
Pumpkin leaves34183.9 ± 145.121507090178.9
Cabbage26163.9 ± 79.76132.53730648.7
Amaranthus24163.9 ± 80.871426738349.3
Vegetable relish19170.4 ± 84.361701732149.5
Black jack11153.4 ± 47.011698022730.7
Okra relish11219.4 ± 105.812078441848.2
Chiyuniyuni11141.5 ± 37.781378621326.7
Sweet beer82568.5 ± 330.2146967181558.1
Chibwantu drink14671.6 ± 405.68513.5363160060.4
Meat and fish products
Kapenta2162.8 ± 40.38502921064.3
Fish18152.8 ± 145.761042551095.4
Chicken13133.6 ± 65.371175425648.9
Fish relish11116.5 ± 109.57552134694

The cutoff point of the frequency is 10 (accounts for 95% of food commonly consumed).

The fruit and vegetable food group was the second most consumed by mothers, with pumpkin leaves (198 ± 109.84 g/day, ), rape (151.2 ± 65.72 g/day, ), and okra (145.1 ± 69.53 g/day, ) being their favourite vegetables in Chipata, while rape (128.1 ± 56.03 g/day, ) and okra (145.1 ± 69.53 g/day, ) were the favourite vegetables for mothers from Monze. This was similar to fish products. Although meat and fish products consumption was deficient, those consumed included kapenta, fish, chicken, fish relish, and pork.

Food drinks were found to be a food group for mothers, not for children. The daily intake of these drinks (sweet beer and chibwantu) was very high, although the frequency was low. Sweet beer (519 ± 248.75 g/day, ) and chibwantu (980.2 ± 333 g/day, ) for Chipata mothers, and for Monze mothers, sweet beer (568.5 ± 330.2 g/100 g, ) and chibwantu drink (671.6 ± 405.68 g/100 g, ) were observed.

4.4. Dietary Diversity Scores (DDSs) for Mothers and Children

The DDS of children across the two districts is presented in Table 7. The mean DDS for the children was 4.1 ± 1.38 (range 1 to 8), but males had 4.1 ± 1.42 and females had 4.1 ± 1.32 with no significant difference seen (). Most (62.69%, ) of the children consumed food items from 1 to 4 food groups, and only 37.31% () consumed a diversified diet from 5 to 8 food groups showing low dietary diversity (LDD) and high dietary diversity (HDD), respectively. However, 27.92% () consumed 4 food groups showing mid-dietary diversity (MDD), while 0.76% () with HDD consumed most of the 8 food groups. The children from Monze district had a slightly higher DDS (4.4 ± 1.34) than that of children in Chipata district (3.9 ± 1.37). However, 26.27% and 27.19% of children from Chipata had a DDS of 3 and 4, respectively, while children from Chipata had a DDS of 4 (8.81%) and 5 (25.99%). Comparatively, children from Chipata had a higher number of respondents (70.05%) in the low category (DDS 1 to 4) than their Monze counterparts (53.67%). Many more children from Monze district (46.33%) were in the high DDS (5 to 8) category compared to those in Chipata district (29.95%).

DDSChipata (217)Monze (177)Total (394)χ2

13 (1.38%)3 (1.69%)6 (1.52%)0.004
233 (15.21%)10 (5.65%)43 (10.91%)
357 (26.27%)31 (17.51%)88 (22.34%)
459 (27.19%)51 (28.81%)110 (27.92%)
539 (17.97%)46 (25.99%)85 (21.57%)
617 (7.83%)28 (15.83%)45 (11.42%)
78 (3.69%)6 (3.39%)14 (3.55%)
81 (0.46%)2 (1.13%)3 (0.76%)
Low (1–4)152 (70.05%)95 (53.67%)247 (62.69%)0.0008
High (5–8)65 (29.95%)82 (46.33%)147 (37.31%)
28 (3.65%)2 (1.13%)10 (2.53%)0.001
326 (11.87%)24 (13.56%)50 (12.63%)
444 (20.09%)64 (36.16%)108 (27.27%)
559 (26.94%)55 (31.07%)114 (28.79%)
643 (19.63%)23 (12.99%)66 (16.67%)
728 (12.79%)9 (5.08%)37 (9.34%)
811 (5.02%)0 (0.00%)11 (2.78%)
Low (1–4)78 (35.62%)90 (50.85%)168 (42.42%)0.0023
High (5–8)141 (64.38%)87 (49.15%)228 (57.58%)

Table 7 also shows the distribution of DDS of mothers from Chipata and Monze districts. The mean DDS of mothers (4.8 ± 1.33, ) was slightly above the low cutoff (4.0), thus indicating that most women consumed foods from >4 different groups. However, mothers from Chipata had a mean DDS (range 2 to 8) of 5.1 ± 1.47 () with the majority (64.38%) in the high category of DDS (5 to 8), while those from Monze had 4.6 ± 1.08 () with 50.85% in the low class of DDS (1 to 4). The frequency of the scores shows that no mother had a DDS of 1 across the districts, but the highest number of mothers (26.94%) from Chipata was found to have a DDS of 5 and Monze (36.16%) had a DDS of 4. No woman from Monze District had a DDS of 8, but 5% () was recorded for Chipata, and this shows that mothers from Chipata consumed a more diversified diet than their Monze counterparts. The observation was contrary to what was observed among the children, where a higher percentage of Monze children consumed a diet from more food groups than those from Chipata.

4.5. Correlation of DDS and Sociodemographic Characteristics of Household Heads (HHs) and Mothers

The correlation coefficient (r) of DDS (Chipata and Monze) and sociodemographic characteristics of HHs and mothers are presented in Table 8. There was a significant positive correlation between the DDS and educational levels of HHs in Chipata (r = 0.15268, ) and Monze (r = 0.15271, ). The DDS of mothers sampled from Chipata was correlated and significant with their educational level (r = 0.21265, ) and age (r = −0.16728, ). However, the age of HHs was correlated and significant (r = 0.15209, ) with DDS among Monze respondents, and this shows that the level of education of the HHs, education level, and age of mothers influenced the diet diversity of food consumed by the households. Of note is the negative correlation between DDS and age of the mothers sampled from Chipata (r = –0.16728, ) and Monze (r = −0.08110, ), and this could mean that improved knowledge through education in younger women compared to older women in the sampled districts contributed to the choice of foods consumed.

DDSAge of HHSex of HHMarital status of HHEducation of HHAge of motherMarital status of mothersMothers’ education

Chipata (313)−0.09303ns0.07468ns0.00250ns0.15268−0.16728−0.06189ns0.21265
Monze (268)0.15209−0.11688ns0.15271−0.08110ns−0.03077ns0.04739ns

Significant at level. Significant at . Significant at level. ns, not significant; HH, household head.

5. Discussion

Dietary intake assessment was carried out using a quantitative 24-hour dietary recall to generate a frequency of consumption, portion sizes, and Dietary Diversity Scores (DDSs) of foods commonly consumed by mothers and children in the sampled districts. The mean Dietary Diversity Score (DDS) calculated in this study shows a low diversity of foods for both mothers and their children, which infers that majority of households consume a monotonous diet that focuses on a limited number of food groups. This DDS suggests a low diet quality as described by Nupo et al. [5] and Vandevijvere et al. [11]. The numbers of foods available for children and mothers in Chipata were more than that of foods available for their Monze counterparts, and this was evident in the DDS of the mothers from Chipata who had a higher DDS. It was not the same as children from Chipata who had a low DDS. This may suggest that availability may not necessarily indicate consumption of foods by the children. The scores of the children from both districts fell below the WHO infant and young child feeding indicator on dietary diversity, which suggests greater or equal to 4 food groups/day [12]. Thus, nutrition education on the benefits of diversifying diets may be useful to improve the nutrient intake of the mothers and children from Chipata and Monze. The high consumption of cereal-based foods and assorted vegetables are in concordance with similar studies and surveys carried out among Zambian populations [13, 14]. Furthermore, as discussed by Doko et al. [15] and Mamiro et al. [16], cereals and their products are the main staples of populations in Eastern and Southern Africa. This is particularly so in the mother-child pairs in this study, where maize-based products (nshima and maize porridge) were the most frequently consumed foods. Frequency of consumption of animal source foods was very low and was restricted to milk, fish, and chicken and their products. There are more diverse sources of dietary energy intake for children in Chipata which were obtained mainly from cereals and starchy roots and tubers, but there were fewer sources of dietary energy among the Monze children. A similar level of diversity is observed in the foods that chiefly supply protein to children from Chipata, relying on three sources compared to only beans consumed by children from Monze. This dependence on plant sources of foods can have implications on micronutrient intake, which usually results in severe undernutrition [17]. There is evidence [18], which proves that dietary diversity, as an indicator of micronutrient adequacy, is associated with nutritional outcomes of infants in a Zambian population. These deficiencies were also established in mother-child pairs assessed in the northern provinces of Zambia [13]. An improvement in dietary diversification presents short- and long-term benefits. Even though children in Chipata had more types of foods within groups, their DDS was lower than their counterparts from Monze District, and this could be because of poor knowledge of value addition to staple crops. As observed from the study, responses on whether some recipes were consumed turned out to be negative. In the absence of nutrient-dense foods of animal origin, an understanding of how to maximize available crops for nutrition security could help in improving the quality of the diet, especially for children with vital nutritional needs. Nutrition education, in this regard, has been established to be a high impact intervention to improve nutrient adequacy [19, 20]. According to results presented in Tables 3 and 6, which show nshima and maize porridge (both maize-based) as the foods with highest food frequency counts, and Table 2, which shows a monotonous preference for maize and groundnut porridge, it is obvious that the sampled populations are highly dependent upon maize-based foods. These observations are similar to food consumption data of Zambians, as reported by Nyirenda et al. [21]. Worthy of note is the low preferences for maize with fish porridge and maize with beans porridge. These foods can improve diversity and adequate nutrients if accepted. A feeding trial of biofortified foods in Zambian children carried out by Schmaelzle et al. [22] emphasised education on the usefulness and potential of new recipes as a missing link for poor food choices for diversity. Demographic characteristics, as highlighted, maybe for the cause of the low dietary diversity seen in the sampled populations. The results of the study, which show an association between the educational level of the household head and DDS in both districts, is a determining factor in improving the overall quality of diet in households in the sampled districts. Associations between mothers’ knowledge of diet diversification with sociodemographic factors such as husband’s education and age of the mother have been reported in the literature [10]. This association is a pointer to the positive impact of an individual’s educational status on healthy food choices. This indicates that enlightenment about food may be needed at the household level in Zambia to encourage improved dietary practices.

6. Conclusion

The study has shown low diversity in the diet of mothers and children aged 6–24 months in the sampled Zambian eastern and southern provinces. While maize-based foods are often consumed, variety in the recipes is low, and the low preference for mixed foods other than maize and groundnut porridge confirms this observation. There are suggestions that nutrition education could improve this preference, and it may be beneficial to take a closer look at factors hindering value addition to maize as evident in the low choices for recipes not usually consumed. The correlation results obtained in this study are also consistent with those of other researchers who proved that insufficient higher education is a risk factor for not meeting optimum dietary diversity in young children [23]. These relationships can hurt the nutritional status of the child since, at this stage of development, food choices are limited by general household food security.

Data Availability

The data related to this manuscript have been deposited in the open access IITA CKAN research data repository.

Conflicts of Interest

The authors declare that they do not have any conflicts of interest.


The authors would like to acknowledge the support received from the CGIAR Agriculture for Health and Nutrition, Care International in Zambia, the National Food and Nutrition Commission of Zambia, nutritionists from the Ministry of Agriculture, and all the project staff who mobilised communities for the study to be conducted.


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Copyright © 2019 Emmanuel Oladeji Alamu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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