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Improved dietary diversity of school adolescent girls in the context of urban Northwest Ethiopia: 2017

  • 1,
  • 2 and
  • 2Email author
Italian Journal of Pediatrics201844:48

  • Received: 20 February 2018
  • Accepted: 16 April 2018
  • Published:



Undiversified diet increases the vulnerability of adolescents for different nutritional problems. Therefore, this study assessed dietary and associated factors among school adolescent girls in Gondar city, northwest Ethiopia.


A cross-sectional study was conducted from March to April 2017. Simple random sampling technique was used to select 778 adolescent school girls. A structured questionnaire was used to collect data. Multivariable logistic regression analysis was fitted to identify significant factors of dietary diversity. Adjusted Odds Ratio (AOR) with 95% confidence interval was used to show the strength of association, while a P-value< 0.05 of was used to declare the significance of association.


This finding indicated that adolescent girls who met minimum dietary diversity with were 75.4% (95%CI (72.3, 78.6). School type (AOR = 3.17, 95%CI: 1.90, 5.28) and residence (AOR = 2.0, 95%CI: 0.84, 3.01) were significantly associated with adequate dietary diversity.


Dietary practice of adolescent girls is good in Gondar City Administration. School type and residence of adolescents were significantly associated with minimum dietary diversity. Thus, Special attention needs to be paid on government school and rural adolescents to improve the intake of variety diet.


  • School adolescent girls
  • Dietary diversity
  • Ethiopia


Dietary diversity score (DDS) is defined as a number of individual food groups consumed over a given period of time [1]. It reflects quality diet at the household or individual level. In addition, DDS is measure of food security, nutrition information, early warning system and target of intervention at Global or national level [2, 3]. Mostly, monotonous staple diets lack essential micronutrients which lead to macro and micronutrient deficiencies, particularly in the most vulnerable group [4, 5].

Optimal nutrition is critical during adolescence as 50, 20 and 50% of adult weight, height, and skeletal mass are gained in this period [68]. However, 45–60% of adolescent girls are found with sub-optimal dietary intake [9] resulting in development of varied micronutrient deficiencies (Vitamin A, iron and iodine deficiencies) [5, 8, 1012]. Similar finding showed in Ethiopian 29 and 30% of adolescent girls had thinness and anemia, respectively [13]. Furthermore, delayed puberty, contracted pelvis and unfavorable birth outcomes are noted in undernourished adolescent girls [14, 15].

Globally, Only 17% of adolescents had diversified diet [16]. Similarly, 23.5–50% [17, 18] of the Iranian, 11.2% of Zimbabwe [19] and 26.8% [4] Ethiopian Adolescents were reported as having adequate dietary diversity. Number of the researches documented that maternal education [4, 20], school type [20], occupation [20], nutritional knowledge [21], household food security [22], residence [4, 22] and wealth status [4, 20, 22] were associated with dietary diversity of adolescents. Considering the burden of sub-optimal dietary intake, promotion of adequate dietary diversity becomes one of the global concerns [23]. However, the level of adolescent’s dietary diversity is not well investigated in Ethiopia [4]. Therefore, this study assessed dietary diversity and associated factors among school adolescent girls in Gondar City Administration.


A school-based quantitative cross-sectional study was conducted from March to April 2017 in Gondar City Administration; northwest Ethiopia. The City has 42 primary and 14 secondary and preparatory schools. All adolescent girls attending both private and governmental schools during the study period were considered as a source population.

A single population proportion formula was used to estimate sample size. Assumptions considered in sample size calculation were 26.8% as prevalence of adequate dietary diversity among adolescent high school girls in Gurage Zone [4], 95% confidence level, 1.5 design effect, 10% non-response rate and 4% degree of precision. Finally, a sample size of 778 was obtained. Schools were stratified into private and governmental schools and then ten schools were selected by lottery method. Simple random sampling technique was employed to choose samples using complete list of students as a sampling frame. Participants included in the study were proportional to the total students enrolled in private and governmental schools.

Concerning the data collection activity, interviewed based questionnaire was used to collect data. The tool was developed by reviewing different literatures, food and Agriculture Organization (FAO); FHI 360. Minimum Dietary Diversity for Women and health survey reports. Primarily the tool was prepared in English and translated to Amharic, the local language, and re-translated to English to check consistency of the questionnaire. Four data collectors (clinical nurses) and two BSc nurses as a supervisor were trained prior to data collection. The questionnaire was pretested among 39 school adolescent girls out of the study area. The training majorly encompasses dietary intake measurement and questionnaire administration techniques and ethical issues of the study.

The outcome, dietary diversity, was assessed using a standard tool suggested by Food and Agricultural Organization to measure women’s dietary diversity. Food consumed by adolescents was assessed through 24-h recall method and then food items were categorized into ten food groups. Dietary Diversity Score (DDS) was created as a summary measure of dietary intake, accordingly participants who had DDS of five and above were deemed as having adequate dietary diversity, whereas inadequate DDS was ascertained when they had less than five DDS [24].

EPI INFO version 3.5.3 and SPSS version 20 were used for data entry and analysis, respectively. A binary logistic regression model was fitted to show the effect of exposure variables on dietary diversity. A variable screening criteria of P-value less than 0.2 was used in the bivariate analysis to select candidate variables for the final model, multi-variable logistic regression analysis. In the adjusted analysis, independent variables with a P-value of < 0.05 were considered as independent factors associated with Dietary Diversity. Model fitness was checked using Hosmer-Lemeshow goodness of the fit test.


A total of 768 adolescent girls participated in the study with a response rate 98.7%. The mean age (±SD) of the adolescent was 15.49(± 1.93) years. Majority (79.3%) of respondents attended government schools. Substantial proportion (93.4%) of samples lived in urban settlements and 74.3% of received less than three meals per day. About 33.7% of respondents were stunted, whereas, only 2.5% were thin for their height (Table 1). Home gardening was reported by 16% of the study participants. Almost all (98.4 and 98.5%, respectively) households used water from improved sources and took less 30 min to fetch water in round trip (Table 2).
Table 1:

Socio-demographic characteristics of school adolescent girls and their parents, Gondar City Administration, northwest Ethiopia, 2017 (n = 768)














Level of education




High school



Preparatory school



Place of residence







Occupation of mother

Government employee






Daily laborer









Media exposure




Not exposed



Food security




In secured



Family wealth status










Maternal education

Unable to read and write









College and above



Father’s education

Unable to read and write










College and above



Table 2

Environmental characteristics of school adolescent girls in Gondar City Administration, Northwest Ethiopia, 2017




Availability of home gardening







Source of drinking water







Wate water treatment







Availability of home latrine







Hand washing after toilet







Overall, 75.4%(95% CI: 72.3, 78.6) adolescent girls had adequate dietary diversity. Moreover, the mean dietary diversity score of participants was 5.76 ± 1.81. Majority (97.7%) of adolescent girls consumed starchy staples (grains, roots and tuber). However, only 32.4% ate fruits (Fig. 1).
Fig. 1
Fig. 1

Types of food groups consumed among adolescent girls in Gondar City, Northwest, Ethiopia, 2017

The logistic regression output illustrated that school type and maternal occupation were significantly associated with dietary diversity. Adolescents who attended private schools 3.2 (AOR =3:17; 95% CI: 1.1.9, 5.28) and lived in urban areas (AOR = 2.0; 95% CI: 0.84, 3.01) had increased odds diversified diet (Table 3).
Table 3

Bivariate and multivariable logistic regression output showing that factors associated with dietary diversityamong school adolescent girls, Gondar City Administration, northwest Ethiopia, 2017


Dietary diversity

Crude Odds Ratio with 95% C)

Adjusted Odds Ratio with 95% CI



Not adequate


Age of adolescent



90 (69.2%)

40 (30.8%)




216 (53.7%)

186 (46.3%)

0.52 (0.34,0.79)

1.25 (0.71,2.20)


93 (39.4%)

143 (60.6%)

0.29 (0.18,0.46)

1.01 (0.51,2.01)

School type



280 (45.8%)

332 (54.2%)




119 (76.3%)

37 (23.7%)

3.81 (2.55,5.70)

3.17 (1.90,5.28)a

Educational status of father


 Informal education

173 (46.8%)

197 (53.2%)




44 (49.9%)

52 (46.1%)

0.96 (0.61,1.51)

0.81 (0.50,1.31)


77 (61.6%)

48 (38.4%)

1.83 (1.20,2.76)

1.27 (0.77,2.09)

 College and above

105 (59.3%)

72 (40.7%)

1.66 (1.12,2.39)

0.98 (0.60,1.64)

Educational status of mothers


 Informal education

193 (45.2%)

234 (54.8%)




69 (59%)

48 (41%)

1.74 (1.15,2.64)

1.24 (0.78,1.96)


72 (58.5%)

51 (41.5%)

1.71 (1.14,2.57)

1.05 (0.62,1.79)

 College and above

65 (64.4%)

36 (35.6%)

2.19 (1.40,3.43)

1.38 (0.69,2.76)

Occupation of the mothers


 Government employee

69 (55.6%)

55 (44.4%)

1.39 (0.68,2.83)

1.61 (0.74,3.53)


241 (50%)

241 (50%)

1.10 (0.58,2.11)

1.65 (0.81,3.33)

 Daily laborer

17 (43.6%)

22 (56.4%)

0.85 (0.35,2.07)

1.26 (0.49,3.29)


53 (63.9%)

30 (36.1%)

1.95 (0.91,4.20)

2.42 (1.06,5.53)


19 (47.5%)

21 (52.5%)



Wealth status


 1st quintile

75 (45.5%)

90 (54.5%)


0.78 (0.47,1.29)

 2nd quintile

100 (47.2%)

112 (52.8%)

0.55 (0.37,0.82)

0.80 (0.51,1.25)

 3rd quintile

106 (53%)

94 (47%)

0.70 (0.47,1.04)

0.85 (0.54, 1.31)

 4th quintile

118 (61.8%)

73 (38.2%)



Availability of latrine



324 (53.4%)

283 (46.6%)

1.31 (0.93,1.86)

0.88 (0.60,1.32)


75 (46.6%)

86 (53.4%)






115 (44.4%)

144 (55.6%)




284 (55.8%)

225 (44.2%)

1.58 (1.17, 2.14)

1.00 (0.70, 1.42




380 (53%)

337 (47%)

1.90 (1.06, 3.41)

2.00 (0.84, 3.01)a


19 (37.3%)

32 (62.7%)



Respondents educational status



184 (64.1%)

103 (35.9%)




197 (47.2%)

220 (52.8%)

0.50 (0.37, 0.68)

0.69 (0.46, 1.03)


18 (28.5%)

46 (71.9%)

0.22 (0.12, 0.40)

0.23 (0.11, 0.50)

aindicate significant at p value less than 0.05 in multivariable logistic analysis


This study illustrated that three-fourth (75.4%) of adolescent girls had diversified diet. The finding was higher than the reports of developing countries, including Iran (26.55%) [25], Zimbabwe (11.2%) [26], Adama City (41.2%) [27], Gurage Zone (26.8%) [4], Amhara region (21.8%) [28]. The high prevalence of adequate dietary diversity in this study area could be due to the nature of the study. Almost all (93.4%) of adolescent girls were included from the urban kebeles and enrolled in schools. Such source of discrepancies could explain increased proportion of diversified diet. In addition, do not have information about better dietary intake habits [20]. However, the result was slightly lower than the study conducted in Agarfa, Ethiopia (80.4%) [29]. This study used five food groups as cut-off point to determine adequate diversity, whereas the previous study considered four food groups. Use of low cut-off might inflate the prevalence of diversified diet in the former study. Obviously, dietary habit of developing nations is entirely depends on starchy staples [30]. This study also confirmed that almost all (97.7%) of participants consumed grains, root and tubers. This result was supported with the previous local report [4].

The result of multivariate logistic regression analysis showed that adolescent girls from private schools had higher odds of diversified diet compared to those who attended governmental schools. In Ethiopia context, students enrolled in private schools are majorly from better-off families hence, poor families usually do not afford monthly school fee. High household socio-economic status is key to enhance household and individual dietary diversity [25, 31, 32]. Adolescents living in better-off households could have improved nutrition information access because of better availability of media source [33].

Lastly, the odds of diversified diet were high in adolescent who lived in urban areas compared to those who lived in rural areas. This finding was supported by researches elsewhere [4, 23, 34, 35] conduct in, China children [36], Mali [34], Gurage [4] and Jimma Zone [22]. In fact, food security, socio-economic status and access to variety of food and information are higher in the urban settlements than the rural areas [22, 35, 37, 38]. This might explain the observed difference in dietary diversity with place of residence. The study attempted to show dietary diversity in the most vulnerable group of the population representing the rural northwest Ethiopia, but, some of the limitations of this study should be taken into consideration. First, the study did not consider the quantity of food consumed by the adolescent and single 24 h recall did not indicate the usual dietary habit of the adolescent. There might be social desirability bias in responding type food given to children and recall bias.


In summary, the prevalence of adequate dietary diversity is high in Gondar City Administration. Type of school and place of residence were significantly associated with adolescent’s dietary diversity. Hence, efforts focusing to improve dietary diversity should give special attention to government schools and the rural adolescents.



Adjusted Odds Ratio


Bachelors of Science


Confidence Interval


Crud Odds Ratio


Dietary Diversity Score


Food and Agriculture Organization


Statistical Package for Social Sciences



The authors would like to thank all respondents for their willingness to participate in the study. They are also grateful to all school principals, teachers, and parents for their cooperation and University of Gondar for material support.


No fund was obtained for this study.

Availability of data and materials

Data will be available upon request from the corresponding authors.

Authors’ contributions

SM conceived the study, developed the tool, coordinated the data collection activity, and carried out the statistical analysis. AK participated in the design of the study, tool development, and drafting the manuscript. AT participated in the design of the study and tool development, performed statistical analysis, and reviewed the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Ethical clearance was obtained from the Institutional Review Board of the University of Gondar. Official letters of co-operation submitted to all primary, secondary schools and city administration education office. Students and their parents were notified and necessary explanations were also given about the purposes, procedure and ethical issues of the study. Consent was collected from the parents of study subjects by sending letter to parent/guardians for each study subject less than 18 years old and oral assent was also obtained from study subjects in the school. The purpose of the study was explained and written informed consent was secured. Confidentiality was maintained at all levels of the study. Participant’s involvement in the study was on voluntary basis; participants who were not volunteer to participate in the study and those who wish to quit their participation at any stage were informed to do so without any restriction. The respondents’ confidentiality of information was assured by excluding names and identifiers from in the questionnaire.

Competing interests

The authors declare that they have no competing interest.

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Authors’ Affiliations

Gondar University Teaching and Referral Hospital, University of Gondar, Gondar, Ethiopia
Department of Human Nutrition, Institute of Public Health, University of Gondar, Gondar, Ethiopia


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