Journal of Nutrition and Metabolism
Volume 2019 (2019), Article ID 1049820, 9 pages
https://doi.org/10.1155/2019/1049820

Research Article

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

Emmanuel Oladeji Alamu,1,2 Therese Gondwe,¹ Toluwalope Emmanuel Eyinla,² and Busie Maziya-Dixon²

¹Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture Southern Africa Research and Administration Hub (SARAH) Campus, Chelston, Lusaka, Zambia
²Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria

Correspondence should be addressed to Busie Maziya-Dixon; b.maziya-dixon@cgiar.org

Received 3 March 2019; Accepted 18 June 2019; Published 3 July 2019

Academic Editor: Mohammed S. Razzaque

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.

Abstract.

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%, ).

Table 1: Sociodemographic characteristics of household heads (HHs) and mothers from Chipata and Monze.

Age

Mean ± SD
Min.
Max.

Age of HHs (yr)
392
35.6 ± 11.72
17
86

304
40.4 ± 15.8
17
94

Age of mothers (yr)
392
26.9 ± 8.17
15
50

304
27.2 ± 7.95
15
49

Chipata percent (N)
Monze percent (N)

Marital status

Head of household
Single
3.14 (22)
1 (7)

Married, monogamously
40.57 (284)
28.57 (200)

Married, polygamously
6.86 (48)
8.71 (61)

Separated
0.57 (4)
1.43 (10)

Divorced
1.43 (10)
1 (7)

Widow(er)
3.57 (25)
3.14 (22)

Mothers
Single
10 (70)
8.43 (59)

Married, monogamously
38 (266)
25 (175)

Married, polygamously
3.86 (27)
7.43 (52)

Separated
0.86 (6)
0.86 (6)

Divorced
2.29 (16)
1.71 (12)

Widow(er)
1.14 (8)
0.43 (3)

Educational level

Head of household
None
7.29 (51)
1.86 (13)

Primary not completed
19.43 (136)
8.71 (61)

Primary completed
15.14 (106)
12.43 (87)

Secondary not completed
10 (70)
16.71 (117)

Secondary completed
3.71 (26)
3.29 (23)

Tertiary not completed
0.14 (1)
0.14 (1)

Tertiary completed
0.29 (2)
0.43 (3)

University completed
0.14 (1)
0.29 (2)

Mothers
None
8.43 (59)
1.29 (9)

Primary not completed
23 (161)
10.86 (76)

Primary completed
12.71 (89)
11.86 (83)

Secondary not completed
11.43 (80)
18.86 (132)

Secondary completed
0.29 (2)
0.86 (6)

Tertiary not completed
0.14 (1)
0.14 (1)

University completed
0.14 (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.

Table 2: Household consumption of maize-based and groundnut based foods in Chipata and Monze districts.

Responses
Chipata percent (N)
Monze percent (N)

Maize-based foods

Frequency consumption
Daily
55.43 (383)
43.56 (301)

2-3 times a week
0.43 (3)
0 (0)

Rarely
0.43 (3)
0 (0)

Maize and groundnut porridge
Yes
53.66 (389)
39.31 (285)

No
3.59 (26)
3.45 (25)

Maize and bean porridge
Yes
1.66 (12)
4.69 (34)

No
55.59 (403)
38.07 (276)

Maize and fish porridge
Yes
0.41 (3)
2.76 (20)

No
56.83 (412)
40 (290)

Fresh maize and fresh groundnut porridge
Yes
0.83 (6)
8.97 (65)

No
56.41 (409)
33.79 (245)

Plain maize porridge
Yes
44.97 (326)
37.52 (272)

No
12.28 (89)
5.24 (38)

Others
Yes
5.93 (43)
30.90 (224)

No
51.31 (372)
11.86 (86)

Groundnut based foods

Frequency of consumption
Daily
22.21 (157)
6.65 (47)

2-3 times a week
20.51 (145)
22.49 (159)

Weekly
2.69 (19)
3.25 (23)

Monthly
1.41 (10)
3.68 (26)

Maize and groundnut porridge
Yes
52.55 (381)
40.14 (291)

No
4.69 (34)
2.62 (19)

Sweet potato and groundnut porridge
Yes
6.21 (45)
6.90 (50)

No
51.03 (370)
35.86 (260)

Rice and groundnut porridge
Yes
4.41 (32)
3.31 (24)

No
52.83 (383)
39.45 (286)

Cassava and groundnut porridge
Yes
0 (0)
0.83 (6)

No
57.24 (415)
41.93 (304)

Fresh maize and fresh groundnut porridge
Yes
0.83 (6)
7.72 (56)

No
56.41 (409)
35.03 (254)

Groundnut and leafy vegetables
Yes
48.69 (353)
39.17 (284)

No
8.55 (62)
3.59 (26)

Groundnut and nonleafy vegetables
Yes
14.62 (106)
14.9 (108)

No
42.62 (309)
27.86 (202)

Groundnut and pumpkin porridge
Yes
10.76 (78)
2.76 (20)

No
46.48 (337)
40 (290)

Others
Yes
1.79 (13)
18.07 (131)

No
55.45 (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.

Table 3: Food frequency and weight (grams) of foods consumed by children in Chipata.

Food type

Mean ± SD
Median
Min.
Max.
CV

Cereals and cereal-based products

Nshima
214
130.1 ± 82.86
117
6
764
63.7

Porridge (maize)
209
150.7 ± 81.56
132
32
552
54.1

Buns
40
44.1 ± 35.15
35
0.9
148
79.7

Rice
23
123.7 ± 77.12
109
19
348
62.3

Samp
19
92.3 ± 52.18
95
21
214
56.5

Fresh maize
10
56.2 ± 34.24
47.5
15
124
60.9

Fritter
14
41.9 ± 20.4
36.5
19
88
48.7

Legumes and legume-based products

Beans
50
71.3 ± 43.34
62
16
214
60.8

Soya pieces
26
80.6 ± 67.56
68
10
330
83.8

Starchy roots and tubers

Cassava
13
84.5 ± 43.57
72
20
163
51.5

Sweet potato
11
128.3 ± 150.38
57
20
450
117.2

Fruits and vegetables

Pumpkin leaves
137
88.5 ± 89.36
57
4
691
101

Rape relish
84
45.9 ± 49.23
30
9
356
107.2

Rape
35
82 ± 72.23
48
15
313
88.1

Cabbage relish
28
46.8 ± 40.77
38
10
205
87.2

Cabbage
24
52 ± 31.51
44
13
137
60.6

Okra
24
70.7 ± 53.68
54.5
15
245
75.9

Rape soup
13
64 ± 46.69
59
13
184
73

Vegetable relish
10
38 ± 13.15
41.5
17
56
34.6

Banana
10
65.9 ± 51.06
54.5
15
155
77.5

Meat and fish products

Kapenta
21
55.4 ± 59.13
33
9
250
106.7

Chicken
16
42.6 ± 31.79
40.5
9
135
74.7

Eggs and egg products

Egg
12
41.3 ± 23.46
39
11
84
56.9

Drinks

Sweet beer
71
168 ± 79.28
154
43
501
47.2

Soft drinks
57
139.5 ± 83.57
120
10
402
59.9

Tea
15
196.2 ± 104.58
150
84
445
53.3

Milk and milk products

Breast milk
18
38.8 ± 26.21
30
10
96
67.6

Sour milk
12
138.3 ± 70.4
126.5
73
320
50.9

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

Table 4: Food frequency and weight (grams) consumed by children in Monze.

Food type

Mean ± SD
Median
Min.
Max.
CV

Cereals and cereal-based products

Nshima
159
121.9 ± 65.20
112
25
369
53.5

Maize porridge
145
154.3 ± 82.40
135
32
619
53.4

Cheele
57
216.4 ± 116.36
204
31
565
53.8

Samp
29
108.7 ± 53.09
102
20
214
48.9

Legumes and legume-based products

Beans
38
81.9 ± 38.32
66.5
34
213
46.8

Fruits and vegetables

Rape
51
48.2 ± 28.18
40
18
175
58.5

Okra
36
55.2 ± 19.79
55
22
105
35.8

Cabbage relish
28
46.8 ± 40.77
38
10
205
87.2

Pumpkin leaves
24
69.8 ± 35.56
60
20
164
50.9

Rape relish
23
48.8 ± 56.32
27
12
216
115.3

Amaranthus
19
61.0 ± 40.73
59
15
186
66.8

Cabbage
16
48.6 ± 18.33
39.5
24
85
37.7

Black jack
11
62.1 ± 24.76
63
31
104
39.9

Fish and fish products

Fish
12
49.8 ± 57.25
23
10
210
115.1

Kapenta
13
46.1 ± 44.42
36
10
170
96.4

Eggs and egg products

Eggs
13
66.3 ± 58.62
59
11
210
88.4

Drinks

Sweet beer
90
201.3 ± 99.81
190
43
501
49.6

Chibwantu
25
235.4 ± 88.42
236
129
516
37.6

Milk and milk products

Sour milk
12
138.3 ± 70.40
126.5
73
320
50.9

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.

Table 5: Food frequency and weight (grams) consumed by mothers in Chipata.

Food type

Mean ± SD
Median
Min.
Max.
CV

Cereals and cereal-based products

Nshima
218
602.1 ± 248.09
604.5
59
1890
41.2

Porridge(maize)
142
371.9 ± 182.78
360
99
1420
49.1

Buns
80
92.6 ± 81.18
76
18
600
87.6

Fresh maize
33
166.7 ± 161.29
123
27
909
96.8

Rice
17
308.1 ± 169.46
285
132
735
55

Legumes and legume products

Beans
70
183.4 ± 74.02
167.5
58
412
40.4

Soya pieces
39
136.9 ± 137.19
94
22
851
100.2

Cowpea
10
200.3 ± 127.05
143.5
108
500
63.4

Groundnut
31
122.1 ± 84.3
100
16
357
69

Starchy roots and tubers

Sweet potato
29
325.8 ± 195.58
295
104
900
60

Cassava
22
229.7 ± 196.73
173
10
785
85.6

Potato
12
323.3 ± 139.93
285.5
149
613
43.3

Fruits and vegetables

Pumpkin leaves
172
198 ± 109.84
189.5
18
901
55.5

Rape
144
151.2 ± 65.72
136.5
20
341
43.5

Samp
102
495.2 ± 224.45
486
74
1132
45.3

Cabbage
49
172 ± 73.70
168
28
317
42.8

Okra
41
152.9 ± 91.14
137
39
438
59.6

Rape relish
37
132.5 ± 98.43
115
37
630
74.3

Cabbage relish
29
145 ± 74.22
125
47
348
51.2

Vegetable relish
19
170.4 ± 84.36
170
17
321
49.5

Delele
16
167.9 ± 152.2
119.5
47
698
90.7

Banana
13
188.8 ± 176.84
132
10
600
93.7

Mango
11
125 ± 82.53
97
30
290
66

Meat and fish products

Kapenta
40
101.2 ± 76.08
80
18
314
75.2

Chicken
27
82 ± 69.55
52
18
256
84.8

Pork meat
12
53.3 ± 22.68
45.5
26
97
42.5

Fish relish
10
126.1 ± 110.56
82.5
35
346
87.7

Drinks

Soft drink
80
236.3 ± 95.35
244.5
13
385
40.4

Sweet beer
61
519 ± 248.75
444
67
1552
47.9

Chibwantu
10
980.2 ± 333
995.5
546
1564
34

Tea
43
317 ± 130.57
318
25
523
41.2

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

Table 6: Food frequency and weight (grams) consumed by mothers in Monze.

Food type

Mean ± SD
Median
Min
Max
CV

Cereals and cereal-based products

Nshima
177
650.2 ± 288.28
686
10
1890
44.3

Porridge
24
505.9 ± 213.33
541.5
141
915
42.2

Rice
13
416.9 ± 198.26
356
129
890
47.6

Magwaza
10
314.9 ± 217.79
234
153
833
69.2

Cheele
37
493.2 ± 232.12
468
109
1036
47.1

Legumes and legume products

Beans
48
208.2 ± 76.00
189
62
412
36.5

Fruits and vegetables

Samp
119
515.5 ± 235.54
499
80
1300
45.7

Rape
68
128.1 ± 56.03
110.5
50
310
43.7

Okra
59
145.1 ± 69.53
134
39
438
47.9

Rape relish
45
128.7 ± 94.63
110
37
630
73.5

Cabbage relish
41
146.1 ± 76.25
125
47
348
52.2

Pumpkin leaves
34
183.9 ± 145.12
150
70
901
78.9

Cabbage
26
163.9 ± 79.76
132.5
37
306
48.7

Amaranthus
24
163.9 ± 80.87
142
67
383
49.3

Vegetable relish
19
170.4 ± 84.36
170
17
321
49.5

Black jack
11
153.4 ± 47.01
169
80
227
30.7

Okra relish
11
219.4 ± 105.81
207
84
418
48.2

Chiyuniyuni
11
141.5 ± 37.78
137
86
213
26.7

Drinks

Sweet beer
82
568.5 ± 330.21
469
67
1815
58.1

Chibwantu drink
14
671.6 ± 405.68
513.5
363
1600
60.4

Meat and fish products

Kapenta
21
62.8 ± 40.38
50
29
210
64.3

Fish
18
152.8 ± 145.76
104
25
510
95.4

Chicken
13
133.6 ± 65.37
117
54
256
48.9

Fish relish
11
116.5 ± 109.57
55
21
346
94

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%).

Table 7: Dietary diversity scores (DDSs) for children and mothers.

DDS
Chipata (217)
Monze (177)
Total (394)
χ²

Children

Mean
3.9
4.4
4.1

SD
1.37
1.34
1.38
0.0001

Min.
1
1

Max.
8
8

Scores

1
3 (1.38%)
3 (1.69%)
6 (1.52%)
0.004

2
33 (15.21%)
10 (5.65%)
43 (10.91%)

3
57 (26.27%)
31 (17.51%)
88 (22.34%)

4
59 (27.19%)
51 (28.81%)
110 (27.92%)

5
39 (17.97%)
46 (25.99%)
85 (21.57%)

6
17 (7.83%)
28 (15.83%)
45 (11.42%)

7
8 (3.69%)
6 (3.39%)
14 (3.55%)

8
1 (0.46%)
2 (1.13%)
3 (0.76%)

Category

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%)

Mothers

Mean
5.1
4.6
4.8
0.0002

SD
1.47
1.08
1.33

Min.
2
2

Max.
8
8

Scores

2
8 (3.65%)
2 (1.13%)
10 (2.53%)
0.001

3
26 (11.87%)
24 (13.56%)
50 (12.63%)

4
44 (20.09%)
64 (36.16%)
108 (27.27%)

5
59 (26.94%)
55 (31.07%)
114 (28.79%)

6
43 (19.63%)
23 (12.99%)
66 (16.67%)

7
28 (12.79%)
9 (5.08%)
37 (9.34%)

8
11 (5.02%)
0 (0.00%)
11 (2.78%)

Category

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.

Table 8: Correlations of DDS of mothers and sociodemographic characteristics of household heads and mothers in Chipata and Monze districts.

DDS
Age of HH
Sex of HH
Marital status of HH
Education of HH
Age of mother
Marital status of mothers
Mothers’ education

Chipata (313)
−0.09303ns
0.07468ns
0.00250ns
0.15268
−0.16728
−0.06189ns
0.21265

Monze (268)
0.15209
—
−0.11688ns
0.15271
−0.08110ns
−0.03077ns
0.04739ns

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.

Acknowledgments

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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