Dietary Diversity and Associated Factors Among Children 6-23 Months of Age in Gorche District, Southern Ethiopia: Cross-Sectional Study
Dietary Diversity and Associated Factors Among Children 6-23 Months of Age in Gorche District, Southern Ethiopia: Cross-Sectional Study
DOI 10.1186/s12887-016-0764-x
  Abstract
  Background: Dietary diversity (DD) is useful indicator of dietary quality and nutrient adequacy. In developing
  countries limited evidence is available regarding predictors of DD during the critical complementary feeding period.
  The purpose of the study is to assess DD and predictors among children 6–23 months of age in rural Gorche
  district, Southern Ethiopia.
  Method: A community based cross-sectional study was conducted among 417 children aged 6–23 months in
  Gorche district. The children were selected using a stratified two-stage cluster sampling technique. DD in the
  preceding day of the survey was assessed using the standard 7-food group score without imposing a minimum
  intake restriction. Factors associated with DD were identified by modeling dietary diversity score (DDS) using linear
  regression analysis.
  Results: Only 10.6% (95% CI: 7.6–13.6) of the children had the minimum recommended DD (≥4 food groups). In
  children born to literate fathers, the DD was increased by 0.26 as compared to their counterparts (p = 0.026). Children
  from households that grow vegetables and own livestock, the DDS was significantly increased by 0.32 (p = 0.032) and
  0.51 (p = 0.001). As the age of the child increases by a month, the DD also increased by 0.04 (p = 0.001). Mothers that
  received Infant and Young Child Feeding (IYCF) education during their post-natal care, the DDS was increased by 0.21
  (p = 0.037). Unit increase in maternal knowledge on IYCF was associated with 0.41 rise in DDS (p = 0.001). Other factors
  that showed positive association were: mother’s participation in cooking demonstration, exposure to IYCF
  information on the mass media and husband involvement in IYCF.
  Conclusion: Nutrition education, promotion of husbands’ involvement in IYCF and implementation of
  nutrition sensitive agriculture can significantly enhance DD of children.
  Keywords: Dietary diversity, Infant and young child feeding, Nutrition education, Husband involvement
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Dangura and Gebremedhin BMC Pediatrics (2017) 17:6                                                              Page 2 of 7
studies indicated nearly half of preschool children (44%)      single population proportion formula with the following
[5] and more than one-third of children 6–71 months            specifications: 95% confidence level, 14.4% expected
(38%) have anemia and vitamin A deficiency [6].                prevalence of acceptable DD [17], 5% margin of error,
   Complementary feeding is a critical period in which         design effect of 2 and 10% contingency to account for
malnutrition starts to develop in many infants, contrib-       possible non-response. The adequacy of the sample size
uting significantly to the high burden of malnutrition in      for identifying correlates of DD was evaluated using
pre-school children [7]. In many developing countries          Gpower software [18].
complementary feeding practices are frequently ill-timed,
unsafe and lack the desirable amount, feeding frequency        Sampling procedure
and nutrient density for optimal child growth and devel-       The study followed stratified two-stage cluster sam-
opment [8]. Globally, ensuring optimal complementary           pling procedure. Initially the available 21 rural kebeles
feeding can avert a substantial proportion of childhood        were stratified into two groups – midlands and high-
deaths [9].                                                    lands – based on their predominating agro-ecological
   Dietary diversity (DD), the number of food groups           characteristics. From the available four and seventeen
consumed over a reference period [10], is a useful in-         kebeles from the two strata, two and six kebeles were
dicator of dietary quality, nutrient adequacy and nu-          selected respectively using simple random sampling
tritional status of children [11–13]. In the context of        technique. Then, in each of the selected kebele,
infant and young child feeding (IYCF), minimum DD –            exhaustive listing of eligible children was made and
proportion of children 6–23 months of age who received         independent sampling frame was developed. Ultim-
foods from four or more out of seven standard groups in        ately children were selected using systematic random
the preceding day– is as an imperative indicator [14].         sampling procedure. The sample size of the study was
However, in many low income countries meeting mini-            proportionally distributed to the kebeles according to
mum the DD standard has been a major challenge. Sum-           their population size.
mary of many Demographic and Health Surveys (DHS)
conducted in developing countries witnessed that only a        Data collection
quarter of children met the requirement [15]. The figure       Data were collected from the mothers/caregivers of the
is as low as 5% in Ethiopia [5].                               selected children using structured questionnaire prepared
   Accordingly, the purpose of the current study is to         in the local language. The English version of the question-
assess dietary diversity and associated factors among          naire is attached as a supplementary file (Additional
children aged 6–23 months in Gorche district, Southern         file 1). Socio-demographic questions were adopted
Ethiopia.                                                      from the standard DHS questionnaire [5]. Minimum
                                                               acceptable DD was defined as taking four or more
Methods                                                        food groups in the preceding day of the survey out of
Study setting                                                  the seven standard food groups recommended by the
The study was conducted in Gorche, one of the districts        WHO [19] without imposing a minimum intake re-
of Sidama Zone, Southern Ethiopia. According to the            striction. Dietary diversity score (DDS) was computed
2007 national census, the district has a population size       by summing the number of unique food groups the
of 139,780 of which 98% dwell in rural areas [16]. The         child received in the preceding day of the survey.
livelihood of the population is reliant on subsistent          Household food security was measured and classified
mixed farming and the area is vulnerable to food               as recommended by the Food and Nutrition Technical
insecurity. Major crops grown in the district are enset        Assistance (FANTA) Guideline [20].
(Enset ventricosum), barely and broad beans. Agro-                Husbands were considered to be involved in IYCF
ecologically, the district is divided into midlands (20%)      when they perform at least two of the following four
and highlands (80%). Administratively, Gorche is orga-         activities: (1) buying/bringing nutritious foods (egg, milk
nized in 22 kebeles. A kebele is the smallest administrative   and meat) to feed the child, (2) giving money to his wife
unit in Ethiopia with an approximate 1,000 households.         to purchase nutritious foods specifically to the baby, (3)
                                                               checking whether his child is getting adequate amount
Study design                                                   of food or not, and (4) discussing with his wife about the
A community based cross-sectional quantitative study           type of food that should be provided to the child.
with both descriptive and analytic elements was used.          Mothers were considered to be knowledgeable on IYCF
                                                               when they know at least two from following four pa-
Sample Size                                                    rameters: timely initiation of complementary food,
The study was designed to include 417 children 6–23            dietary diversity, duration of breast feeding and timely
months of age. The sample size was estimated using             initiation of family food.
Dangura and Gebremedhin BMC Pediatrics (2017) 17:6                                                                   Page 3 of 7
  Household wealth status was measured based on com-            Table 1 Socio-demographic characteristics of the respondents
posite variables including ownership of selected household      and study children in Gorche district, Southern Ethiopia, 2015
assets, size of agricultural land, quantity of livestock,       Variables (n = 417)                 Frequency         Percentage
materials used for housing construction and ownership of        Head of the household
improved toilet and water sources.                                Male                              411               98.6
                                                                  Female                            6                 1.4
Data analysis
                                                                Mother’s age (year)
The data were entered into Epi-info 2007 software and stat-
istical analysis was performed using SPSS version 20.             Below 25                          102               24.5
Household wealth index was computed using Principal               25 and above                      315               75.5
Component Analysis. Factors associated with DD were             Child’s age (months)
identified by modeling DDS using multivariate linear re-          6–8                               58                13.9
gression model. The association between each independent
                                                                  9–11                              61                14.6
and dependent variable was initially assessed in simple (i.e.
                                                                  12–23                             298               71.5
bivariate) regression model; then, variables that showed sig-
nificant association were considered for multivariate model.    Child sex
The independent variables were modeled in two – distal            Male                              218               52.3
and proximal – regression models. All socio-demographic           Female                            199               47.7
characteristics and variables related agricultural production   Father’s education
and exposure to IYCF education were considered as distal
                                                                  Illiterate                        294               70.5
variables; whereas, maternal knowledge and husband’s
                                                                  Literate                          117               28.1
involvement in IYCF were taken as proximal factors.
Assumptions of the regression model (linearity, absence of      Mother’s education
multicollinearity, normality and homoscedasticity of error        Illiterate                        340               81.5
terms) were checked as described elsewhere and they were          Literate                          77                18.5
found to be satisfied [21]. Model fitness assessed using        Father’s occupation
adjusted r-squared value. Outputs of the analysis were
                                                                  Farmer                            398               95.4
provided in unstandardized regression coefficients.
                                                                  Merchant                          93                22.3
Table 2 Household agricultural production and status of           media, during Postnatal Care (PNC) visit and through
household food security in Gorche district, Southern              having discussion with Health Extension Workers
Ethiopia, 2015                                                    (HEWs), mother’s participated in food cooking demon-
Variables and categories (n =417)    Frequency       Percentage   stration, husband involvement in IYCF and maternal
Proportion of households that:                                    knowledge on IYCF.
  Grow Enset                         410             98.3           According to the final multivariate regression models,
  Grow cereals                       337             80.8
                                                                  in children having literate fathers, the DD was increased
                                                                  by 0.26 as compared to their counterparts (p = 0.026).
  Own livestock                      336             80.6
                                                                  Whereas, children from households that grow fruits and
  Grow fruits and vegetables         333             79.9         vegetables and own livestock, the DDS was increased by
  Grow cash crops                    289             69.3         0.32 (p = 0.032) and 0.51 (p = 0.001) as compared to their
  Grow legumes                       202             48.4         counterparts and, respectively. As the age of the child
Household food security status                                    increases by a month, the DD also increased by 0.04
  Food secured                       70              16.8
                                                                  (p = 0.001). Children born from mothers that received
                                                                  IYCF message during PNC, the DDS was increased by
  Mildly food insecure               12              2.9
                                                                  0.21 (p = 0.037). Unit increase in maternal knowledge on
  Moderately food insecure           209             50.1         IYCF was associated with 0.41 rise in DDS (p = 0.001).
  Severely food insecure             126             30.2         Other factors that were positively associated with the out-
                                                                  come variable were mothers participated in food demon-
preceding day of the survey. About three-fourth (78%) of          stration, exposure to IYCF information on the mass media
the children received solid, semi-solid, or soft foods of         and husband involvement in IYCF (Table 3).
the minimum recommended frequencies, as defined in
the WHO guideline [14]. Only 8.4% of the children had             Discussion
met the minimum acceptable diet standard – having the             The study found only one-tenth of children received
minimum DD and the minimum meal frequency during                  adequately diversified food while a higher proportion
the previous day.                                                 (78%) had optimal feeding frequency. Consequently, frac-
  The majority (87.5%) of mothers reported that their             tion of children that received the minimum acceptable
children consumed complementary foods prepared from               diet – a combined indictor on the basis of feeding fre-
starchy staple foods including grains, roots and tubers in        quency and diversity – remained exceedingly low (< 10%).
the reference period. Only a quarter (24.2%) received             This signifies that most children failed to satisfy the mini-
foods made from legumes and pulses. Vitamin A rich                mum acceptable diet requirement largely due to sub-
and other fruits and vegetables were consumed by 7.2              optimal DD. Other studies conducted in Ethiopia supports
and 39.1% of the children, respectively. Regarding animal         the current studies [5, 22]. According to DHS 2011, 48%
source foods, more than half (60.7%) received dairy and           of children had the acceptable meal frequency; nonethe-
dairy products excluding breast milk (85.4%); neverthe-           less, proportions that met the minimum DD (4.3%) and
less, eggs (11.0%) and meat (2.6%) were less frequently           acceptable diet (4.0%), were remarkably low [5]. The find-
consumed.                                                         ing also shows, the district is lagging behind the national
                                                                  target that envisions to raise proportion of children with
Factors associated with dietary diversity                         acceptable diet to 20% by 2015 [23].
A total of 20 variables were considered for the bivariate            The study concluded only 10.6% of children had the
analysis. The following variables did not show significant        minimum DD and local complementary foods are
association hence they were not considered for the                mainly prepared from starchy staple foods. Furthermore,
multivariate analysis: child’s sex, mother’s and father’s         nutrient dense animal source foods like eggs and flesh
occupation, household wealth index, sex of the head of            foods are infrequently offered to children. Other studies
the household, land size, the number of under five                from Ethiopia came up with parallel findings [17, 22, 24].
children in the household, birth order and women in-              A study conducted in 2011 in a nearby Borcha district
volvement in Income Generating Activities (IGA).                  found that only 14% of children had met the minimum
  Fifteen variables met the inclusion criteria and hence          DD and only 3 and 2% of children respectively received
included in the multivariate model. The variables were;           flesh foods and eggs [17]. A summary of surveys con-
mother’s age, child’s age, father’s and mother’s educa-           ducted in Southern Ethiopia concluded that in six of the
tional status, the size of the households, agro-ecology of        nine surveys included, proportions of children with opti-
the kebele, cultivation of fruits and vegetables, pro-            mal DD were less than 25% [25].
duction of legumes and nuts, ownership of livestock,                 Husband’s educational status and their direct involve-
mother’s exposure to IYCF information on the mass                 ment in IYCF showed positive association with DD of
Dangura and Gebremedhin BMC Pediatrics (2017) 17:6                                                                                 Page 5 of 7
Table 3 Bivariate and multivariate linear regression analyses on the factors associated with dietary diversity among children 6–23
months of age in Gorche District, Southern Ethiopia, 2015
                                                                                          Outputs of the analysis
Variables and coding                                                                      Bivariate                 Multivariate
                                                                                          βa             P value    βa                 P value
Distal factors
    Mother age in years (18–44)                                                           -0.02          0.038*     -0.013             0.301
    Father education (0 = illiterate, 1 = literate)                                       0.38           0.001*     0.26               0.026*
    Mother education (0 = illiterate, 1 = literate)                                       0.24           0.049*     -0.09              0.533
    Size of the household (3–12)                                                          -0.03          0.289      -0.02              0.696
    Agro-ecology (0 = Dega, 1 = Woyinadega)                                               -0.29          0.005*     0.10               0.459
    Grow fruits and vegetables (0 = No, 1 = Yes)                                          0.39           0.001*     0.32               0.032*
    Grow legumes (0 = No, 1 = Yes)                                                        0.25           0.009*     0.09               0.373
    Own livestock (0 = No, 1 = Yes)                                                       0.60           0.001*     0.51               0.001*
    Received IYCF information on mass media in the last 1 month (0 = No, 1 = Yes)         0.38           0.001*     0.29               0.004*
    Received IYCF information from HEWs in the last 1 month (0 = No, 1 = Yes)             0.26           0.016*     0.17               0.086
    Participated in cooking demonstration in the last 6 months (0 = No, 1 = Yes)          0.25           0.009*     0.23               0.010*
    Child age in months (6–23)                                                            0.05           0.001*     0.04               0.001*
    Received IYCF information during PNC visit (0 = No, 1 = Yes)                          0.34           0.001*     0.21               0.037*
Proximate factors
    Husbands involvement in IYCF (0 = No, 1 = Yes)                                        0.23           0.018*     0.20               0.037*
    Maternal knowledge (0–4)                                                              0.44           0.001*     0.41               0.001*
a
 Unstandardized regression coefficient
* Significant at P value of 0.05
children. Limited number of literatures empirically eval-                     considered as a credible source of health and nutri-
uates the role of husbands in IYCF practice. An unpub-                        tion information hence such messages are likely to be
lished study conducted in South Wollo Zone, North                             adopted.
Ethiopia concluded that children living in households                            Mothers who took part in cooking demonstrations were
where husbands are directly involve in IYCF have a                            more likely to provide diversified complementary food to
significant 13.7% rise in DDS. A qualitative study in                         their children. A study from Peru concluded the same
Gambia reported that husbands have a major influence                          findings [31]. A mixed study conducted in Ethiopia
on infant feeding practice including the timing for initi-                    witnessed the role of cooking demonstrations in enhan-
ating complementary foods [26].                                               cing the IYCF practice of rural women [32]. The finding is
   In this study it was observed that production of                           consistent to the understanding that cooking demonstra-
fruits and vegetables and ownership of livestock is                           tion particularly benefits resource poor rural communities
associated with significant rise in DDS. The finding                          with limited formal education by providing hands-on
indicates implementation of nutrition sensitive agri-                         learning experiences based on available recipes.
culture might be imperative for improvement diversity                            Unexpectedly, the study found no association between
of children’s diet. A study conducted in South Africa                         DD and, maternal education and household wealth
supports the current study [27]. A study in Philippines                       index. This can be due to various reasons. Regarding
concluded preschool children from households with                             maternal education, the study was conducted in pre-
gardens had higher DDS as compared with their                                 dominately uneducated community where less than 20%
counterparts [28].                                                            of mothers were literates. Most of the literate mothers
   Exposure to IYCF messages on the mass media showed                         were also likely to have very brief exposure to formal
significant association with DD. Other studies also                           education. Consequently, comparison of the DDS be-
availed consistent evidence. A secondary data analysis                        tween literate and illiterate mothers may not be sensitive
of Ethiopian DHS and another study from Northwest                             enough to show the real merits of maternal education.
Ethiopia supports the study [22, 29]. A study in India                        The null association with household wealth status can
also identified media exposure as a significant de-                           be due to the methodological weakness of wealth index.
terminant of IYCF practice [30]. Media is usually                             As wealth index is a relative, not absolute scale, it may
Dangura and Gebremedhin BMC Pediatrics (2017) 17:6                                                                                                  Page 6 of 7
not have a discriminatory power in setting, like the study                    Ethics approval and consent to participate
area, where wealth is relatively homogenous.                                  The data were collected after taking ethical clearance from the Institutional
                                                                              Review Board (IRB) of Hawassa University, College of Medicine and Health
   The following limitation should be noted while inter-                      Sciences. Written informed consent for participation in the study was taken
preting the findings of the study. The DD was assessed                        from the primary caregivers of the children.
on the basis of a single day recall hence it may not pre-
                                                                              Author details
cisely show the usual dietary behavior of the community.                      1
                                                                               Sidama Zone Health Department, Hawassa, Ethiopia. 2Hawassa University,
Maternal knowledge and husbands’ involvement in IYCF                          School of Public and Environmental Health, Hawassa, Ethiopia.
were measured via non-standard scales hence misclassi-
                                                                              Received: 10 January 2016 Accepted: 20 December 2016
fication errors cannot be excluded. Further, measure-
ment of husbands’ involvement in IYCF can be liable to
social desirability bias. As the study is cross-sectional                     References
causal inference may not be strong.                                           1. Liu L, Oza S, Hogan D, Perin J, Rudan I, Lawn JE, et al. Global, regional, and
                                                                                  national causes of child mortality in 2000-13, with projections to inform post-
                                                                                  2015 priorities: an updated systematic analysis. Lancet. 2015;385(9966):430–40.
Conclusions                                                                   2. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, et al.
Based on findings from this study, the majority (89.4%)                           Maternal and child undernutrition and overweight in low-income and
                                                                                  middle-income countries. Lancet. 2013;382(9890):427–51.
of children had low dietary diversity and consumption of
                                                                              3. Bain LE, Awah PK, Geraldine N, Kindong NP, Sigal Y, Bernard N, et al.
animal source foods, fruits and vegetables is relatively                          Malnutrition in Sub-Saharan Africa: burden, causes and prospects. Pan Afr
low. In the study district, the level of dietary diversity is                     Med J. 2013;15:120.
                                                                              4. Central Statistical Agency [Ethiopia]. Ethiopia mini demographic and health
extremely low. Exposure of mothers to nutrition educa-
                                                                                  survey 2014. Addis Ababa: Central statistical agency; 2014.
tion, promotion of husbands’ involvement in IYCF and                          5. Central Statistical Agency [Ethiopia], ICF International. Ethiopia demographic
implementation of nutrition sensitive agriculture can sig-                        and health survey 2011. Addis Ababa, Claverton: Central Statistical Agency,
                                                                                  ICF International; 2012.
nificantly improve dietary diversity of children.
                                                                              6. Demissie T, Ali A, Mekonen Y, Haider J, Umeta M. Magnitude and
                                                                                  distribution of vitamin A deficiency in Ethiopia. Food Nutr Bull.
Additional file                                                                   2010;31(2):234–41.
                                                                              7. World Health Organization. Nutrition: complementary feeding. Available
                                                                                  from: http://www.who.int/nutrition/topics/complementary_feeding/en/
 Additional file 1: English version questionnaire used for the data               (2015). Accessed Nov 17 2015.
 collection. (DOCX 44 kb)                                                     8. World Health Organization. Global strategy for Infant and young child
                                                                                  feeding. Geneva: WHO Press; 2003.
Abbreviations                                                                 9. Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, et al. Evidence-
DD: Dietary dversity; DDS: Dietary diversity score; DHS: Demographic              based interventions for improvement of maternal and child nutrition: what
and health survey; FANTA: Food and nutrition technical assistance;                can be done and at what cost? Lancet. 2013;382(9890):452–77.
HEWs: Health extension workers; IGA: Income generating activity;              10. Ruel MT. Operationalizing dietary diversity: a review of measurement issues
IRB: Institutional review board; IYCF: Infant and young child feeding;            and research priorities. J Nutr. 2003;133(11 Suppl 2):3911S–26S.
PNC: Postnatal care; SD: Standard deviation; SSA: Sub Saharan Africa;         11. Ruel MT. Is dietary diversity an indicator of food security or dietary quality?
WHO: World Health Organization                                                    A review of measurement issues and research needs. Washington, D.C:
                                                                                  International Food Policy Research Institute (IFRPI); 2002.
                                                                              12. Arimond M, Ruel MT. Dietary diversity is associated with child nutritional
Acknowledgements
                                                                                  status: evidence from 11 demographic and health surveys. J Nutr. 2004;
We are very thankful all mothers or caregivers of children for their kind
                                                                                  134(10):2579–85.
cooperation in providing required information during the study.
                                                                              13. Kennedy GL, Pedro MR, Seghieri C, Nantel G, Brouwer I. Dietary diversity
                                                                                  score is a useful indicator of micronutrient intake in non-breast-feeding
Funding                                                                           Filipino children. J Nutr. 2007;137(2):472–7.
The study was conducted getting the fund from Hawassa University. We
                                                                              14. World Health Organization. Indicators for assessing infant and young child
declare that the funding body had no role in the design of the study, the
                                                                                  feeding practices: Definitions. Geneva: WHO Press; 2008.
collection, analysis and interpretation of the data, the writing of this      15. International Food Policy Research Institute (IFPRI). Global Nutrition Report
manuscript, and in the decision to submit it for publication.                     2014: Actions and accountability to accelerate the world's progress on
                                                                                  malnutrition. Washington, DC: IFPRI; 2014.
Availability of data and materials                                            16. Population Census Comission [Ethiopia]. Summary and statistical report of
The datasets used and analyzed during the current study available from the        the 2007 population and housing census: Population size by age and sex.
corresponding author on reasonable request.                                       Addis Ababa: Census comission; 2008.
                                                                              17. Tessema M, Belachew T, Ersino G. Feeding patterns and stunting during
Authors’ contributions                                                            early childhood in rural communities of Sidama, South Ethiopia. Pan Afr
DD developed the protocol, supervised the data collection, analyzed the           Med J. 2013;14:75.
data and prepared the draft manuscript; SG participated in the development    18. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using
of the protocol, oversaw the data collection and analysis and finalized the       G*Power 3.1: tests for correlation and regression analyses. Behav Res
manuscript. Both authors read and approved the final manuscript to submit         Methods. 2009;41(4):1149–60.
it for publication.                                                           19. World Health Organization. Indicators for assessing infant and young child
                                                                                  feeding practices: Part I. Geneva: WHO; 2008.
Competing interests                                                           20. Coates J, Swindale A, Bilinsky P. Household food insecurity access scale (HFIAS)
The authors declare that they have no competing interest.                         for measurement of food access: Indicator guide. New York: FANTA; 2007.
                                                                              21. Casson RJ, Farmer LD. Understanding and checking the assumptions of
Consent for publication                                                           linear regression: a primer for medical researchers. Clin Expiremental
Not applicable.                                                                   Ophthalmol. 2014;42:590–6.
Dangura and Gebremedhin BMC Pediatrics (2017) 17:6                                                                                            Page 7 of 7
22. Beyene M, Worku AG, Wassie MM. Dietary diversity, meal frequency and
    associated factors among infant and young children in Northwest Ethiopia:
    a cross- sectional study. BMC Public Health. 2015;15:1007.
23. Government of the Federal Democratic Republic of Ethiopia. National
    nutrition program: June 2013 – June 2015. Addis Ababa; 2008.
24. Mekbib E, Shumey A, Ferede S, Haile F. Magnitude and factors associated
    with appropriate complementary feeding among mothers having children
    6-23 months-of-age in Northern Ethiopia; a community-based cross-
    sectional study. J Food Nutr Sci. 2014;2(2):36–42.
25. Henry CJ, Whiting SJ, Regassa N. Complementary feeding practices among
    infant and young children in Southern Ethiopia: Review of the findings from
    a Canada-Ethiopia project. J Agric Sci. 2015;7(10):29–39.
26. Njai M, Dixey R. A study investigating infant and young child feeding
    practices in Foni Kansala district, western region, Gambia. J Clinic Med Res.
    2013;5(6):71–9.
27. Taruvinga A, Muchenje V, Mushunje A. Determinants of rural household
    dietary diversity: The case of Amatole and Nyandeni districts, South Africa.
    Int J Dev Sust. 2013;2(4):1–15.
28. Cabalda AB, Rayco-Solon P, Solon JA, Solon FS. Home gardening is
    associated with Filipino preschool children's dietary diversity. J Am Diet
    Assoc. 2011;111(5):711–5.
29. Aemro M, Mesele M, Birhanu Z, Atenafu A. Dietary diversity and meal
    frequency practices among infant and young children aged 6–23 months in
    Ethiopia: A secondary analysis of Ethiopian Demographic and Health Survey
    2011. J Nutr Metab. 2013;2013:782931.
30. Malhotra N. Inadequate feeding of infant and young children in India: lack
    of nutritional information or food affordability? Public Health Nutr.
    2013;16(10):1723–31.
31. Waters HR, Penny ME, Creed-Kanashiro HM, Robert RC, Narro R, Willis J, et al.
    The cost-effectiveness of a child nutrition education programme in Peru.
    Health Policy Plan. 2006;21(4):257–64.
32. Kim SS, Ali D, Kennedy A, Tesfaye R, Tadesse AW, Abrha TH, et al. Assessing
    implementation fidelity of a community-based infant and young child
    feeding intervention in Ethiopia identifies delivery challenges that limit
    reach to communities: a mixed-method process evaluation study. BMC
    Public Health. 2015;15:316.