alexa Nutritional Status and Its Associated Factors among School Adolescent Girls in Adama City, Central Ethiopia | OMICS International
ISSN: 2155-9600
Journal of Nutrition & Food Sciences

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.

Nutritional Status and Its Associated Factors among School Adolescent Girls in Adama City, Central Ethiopia

Roba KT*, Abdo M and Wakayo T

College of Health and Medical Sciences, Haramaya University, Eastern Ethiopia, P.O.BOX 235, Harar, East Harargie 0000, Ethiopia

*Corresponding Author:
Roba KT
College of Health and Medical Sciences
Haramaya University, Eastern Ethiopia
P.O.BOX 235, Harar, East Harargie 0000, Ethiopia
Tel: +251945809317/+353899565335/+252256668081
E-mail: [email protected]

Received date: Apr 06, 2016; Accepted date: May 11, 2016; Published date: May 19, 2016

Citation: Roba KT, Abdo M, Wakayo T (2016) Nutritional Status and Its Associated Factors among School Adolescent Girls in Adama City, Central Ethiopia. J Nutr Food Sci 6:493. doi: 10.4172/2155-9600.1000493

Copyright: © 2016 Roba KT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Nutrition & Food Sciences


Introduction:Adolescence is a period of rapid growth and maturation in human development that demands extra nutrients and energy to support growth. Focusing on adolescents’ nutrition, especially girls, provides a unique opportunity to break the intergenerational cycles of malnutrition. But, there is little information about nutritional status of school going adolescent girls in central Ethiopia.
Methods: Institutional based cross-sectional quantitative study was employed among school going adolescent girls in Adama city. Survey was conducted among 726 samples which were selected by using stratified cluster random sampling procedures. Data was entered into Epi Data and transferred to SPSS (version 16) for analysis. WHO Anthro plus software was used to calculate body mass index for age z-score and height for age z-score. Multivariable logistic regression was used to measure the association between the dependent variable and independent variables with 95% confidence interval.
Results: This study found that 21.3% of adolescent girls were underweighted, 3.3% were overweight, 1.0% was obese and 15.6% were stunted. Of the adolescents, 41.2% of them received minimum dietary diversity (MDD), but 73.0% of the underweighted adolescent’s did not receive minimum dietary diversity in 24 h before the survey. The proportions of wasting, stunting and low dietary diversity were higher among subjects from government schools compared to those from private schools. The predictors of under-nutrition among adolescent girls were: being born from uneducated parents (father and mother), their fathers’ occupation of being a merchant, adolescents with low dietary diversity, monotonous diet and adolescents attending government schools.
Conclusion: Malnutrition affects one out of five female adolescent in this community and was associated with poor dietary diversity and parent demography which demands appropriate health information disseminations to the target groups.


Adolescent; Wasting; Thinness; Ethiopia


Adolescence is the age between 10-19 years old, and it is the transition from dependent childhood to independent adulthood, that comprises 20% of the global population, and with approximately 80% of them live in developing countries [1,2]. This age is a stage of growth and development in the lifespan that needs adequate and proper quality food to meet the nutrient requirement for their physical, mental growth and development in addition to reproductive maturity [3].

Nutritional needs during adolescence are influenced mainly by the onset of puberty with its associated increased growth rate and changes in body composition and organ systems [4]. In this period adolescents gain 15% of their final adult height, 45% of increments in bone mass and 50% of adult weight is attained together with changes in body shape and composition [5-7].

Adolescents in all income and ethnic groups can be at risk for dietary excesses and deficiencies. Many boys and girls in developing countries enter adolescence undernourished, making them more vulnerable to disease and early death [8]. In addition, adolescents have a low rate of infection and chronic diseases compared to children under 5 years old and old age that makes them receive little attention, except reproductive health. Inadequate diet during this time can result in decreased learning ability, delayed sexual maturity, a lack of concentration, impaired school performance and slow growth. Pregnancy, lactation, physical activity and sports participation further increase nutrient requirements during this age [9]. Therefore, malnourished adolescent girls are at risk of being stunted mothers who are likely to suffer obstetric complications and to deliver low birth weight babies that could lead to intergenerational cycle of malnutrition. Thus, adequate nutrition and healthy eating habits at this age are foundations for good health in adulthood.

In Ethiopia, children and adolescent constitutes about 48% of Ethiopian population and about 25 percent of this age group is girls [10] but studies among this age group were insufficient. Few Studies in Ethiopia showed that under nutrition was common problem among adolescent girls. Of which, a study in the rural community of Tigray indicated that 25.5% and 58.3% of adolescent girls were stunted and thin respectively [11], 37.8% were wasting (thinness), 2.0% overweight and 0.4% had obesity [12]. Similarly, in Jimma, 53.2% were underweight [13], Hawassa, 12.9% were overweighed and 2.7% had obesity [14] but no study was reported among adolescent girls in Adama city, the biggest city in south east Ethiopia. Therefore, this study aimed at identifying the level of malnutrition and associated factors among high school adolescent girls in Adama city, south eastern Ethiopia.

Materials and Method

Study area

This study was conducted in Adama city which is located 100 km away on eastern direction of Addis Ababa. This city is among the biggest cities in Ethiopia and the biggest in the Oromia region. The livelihoods of this city are predominantly trade followed by civil servants. This study was conducted in April 2015 GC among school going adolescent girls. The schools were categorized as private who are providing education by collecting fee from students and Government schools, provides educational services for free to all citizen by acquiring funding from government. No gender based schools were available in Adama city. There are five government and four private schools that render education for grade nine and above in Adama city.

This study employed quantitative institution based cross study design. The study populations were adolescent girls who were selected from four randomly selected schools. The sample size was determined using the formula for single population proportion with the assumption of 0.05% marginal error, 95% confidence interval (Za/ 2=1.96). Using on the prevalence (P) of 37.8% stunting in the study conducted in Tigray [12] (due to similarity of the population) and with design effect of 2, the final sample size was 726.

Sampling technique

A stratified cluster random sampling technique was used according to the following procedures. First the secondary schools grade 9 and grade 10 were identified by name and then the schools were stratified by ownership into government and non-government schools. Then, two government and two non-government schools were randomly selected by lottery method and sample size for each school was assigned based on proportionality to the number of adolescent girls in each school. Finally the study participants were selected by using Probability proportional to population size (PPS) from the total size in to grades 9 and 10. Then estimated sample size for each grade was distributed proportionally to each section and final samples were drawn using systematic random sampling method from student registry after identifying a list of female students. Adolescent girls suspected of pregnancy during screening, severe illness/history of admission to hospital in last months were excluded from the study.

Data collectors

Eight data collectors that have diplomas in nursing that monitor data collection filling and completeness of data on spot and provides necessary assistance for participants and two more supervisors with degrees who had experience of collecting similar data and were able speak the local language were recruited. Two days training was given to data collectors on how to approach the adolescent girls during data collections and pre-test was also conducted for standardization. After data collection each questionnaire was checked for completeness of information by immediate supervisors and the principal investigator.

Data collection

Data were collected using a structured, self-administered questionnaire under strict supervision of female supervisors and the overall quality control was conducted by the first author. The questionnaire was prepared based on the nutrition baseline survey report for the national nutrition program of Ethiopia, (Ethiopian Health and Nutrition Research Institute 2009/2010) and relevant literature. The questionnaire was pretested in similar setting out of sample schools and comments and suggestion identified in pretest was included in the final version. The questionnaire developed in English, was translated into Amharic and Afan Oromo language then back to English by another person to ensure consistency and contextualization.

Data collection tools were designing in logical sequenced and free of scientific terms and non-leading. The pre-test was conducted on 5% of the study population other than the selected schools in the town, but in schools other than study sites before the actual data collection begins and amendment was made on the questionnaires if necessary. Questionnaires were checked each day by principal investigator for any incompleteness and/or inconsistency and feedback was given every morning before commencement of the next day’s work.

A household wealth index was calculated by principal component analysis based on household assets and housing quality was used as a proxy indicator for socioeconomic status of households. An absolute measure of household wealth (wealth index) used in this study is based on an earlier concept developed by Garenne and Hohmann [15], whereby the sum of dummy variables are created from information collected on housing quality (floor, walls, and roof material), availability of potable water in the compound and type of toilet facility, and ownership of household durable goods (e.g. bicycle, television, radio, motorcycle, telephone, cars, refrigerator, mattress, bed). These facilities or durable goods are often regarded as modern goods that have been shown to reflect household wealth. The scores were thus added up to give the proxy household wealth index. The index varied from 0 to 18. Similar classification was used in previous study [16].

Anthropometric data

Nutritional status of study participants was assessed based on the anthropometric measurements used to assess the physical development of adolescent girls. Height was measured once with a Portable Height Scale to the nearest 0.1 cm. The Body weight was measured using the platform (digital scale) weighing Scale (770 alpha; SECA, Hamburg, Germany) to the nearest 0.1 kg that has the capacity to measure 0-140 kg. Weight and height were measured by two different measurers and with any variation the final validations was made by supervisors immediately on site. The subjects were weighed with minimum of clothing. Body mass for age z-score was used to classify level of malnutrition in the study subjects and those who have less than -2 zscore were categorised as thin, between >-2 and <+1 as normal weight, overweight between +1 and <+2 and above +2 were categorized as obese (WHO, 2007). Having height for age z-score less than -2 was categorized as stunted [17].

Dietary diversity data were collected using a questionnaire developed by Food and nutrition technical assistance [18]. The questionnaire asked adolescents the types of food consumed in the home or outside the compound in the last 24 h. The information collected on dietary consumption was used to calculate the dietary diversity score (DDS) and additionally seven day food frequency was also noted to their household dietary diversity and regular access to food. The seven day food frequency was used to determine frequency of accessing to animals sources foods and phytates (that inhibits absorption of Iron and zinc from food). Each food group was counted only once resulting in a possible score of 0 to 9. The DDS was categorized into low/inadequate dietary diversity (<4 food groups), adequate dietary diversity (= 4 food groups) [19]. The recall was randomly made on week days or on weekend days, since weekends do not have any special significance in the context of our study. We took care not to include atypical days (local feasts or celebrations) in the recall.

The dependent variable was nutritional status of adolescent girls. The independent variables derived from socio-demographic and socioeconomic characteristics of the family, and dietary habits of the adolescents. The socio-demographic variables used in this study were age, sex, marital status, ethnicity and religion. The socio-economic variables were level of education of parents, type of last school attended, occupation, family size, income, water and sanitation. Adolescents were also asked about their lifestyles, source of income, pocket money, how spare time was spent in addition to their dietary diversity, meal pattern and habits of eating fast foods.

Data processing and analysis

Data were double entered into Epi Data 3.1 version and was checked for completeness and consistency, followed by data cleaning and editing. Then the data was analysed by using Statistical Package for Social Sciences, Version 16 (SPSS for Windows, SPSS Inc., and Chicago, IL, USA) software’s and WHO Anthro Plus software for assessing growth of the adolescents was used [20]. Descriptive statistics using frequencies, proportions and correlation was used to present the study results. Odds ratio with 95% confidence interval was used for checking the strength of associations between dependent and independent variables. Bivariate analysis was used to identify candidate variables for multivariable logistic regression in determining factors associated with nutritional status and only variables with pvalues <0.2 in bivariate analysis were entered into the final multivariable logistic regression model to adjust for confounders.

Ethical consideration

Prior to the commencement of the actual data collection process, the study proposal protocol was approved by Rift Valley University College Institutional Research Ethics Review Committee. Official letters of co-operation were written to all secondary school and concerned bodies in the city and to the schools. After getting permission from the schools, the principal investigator set dates and times of data collections with the school administrations. Students and their parents were notified and necessary explanations were also given about the purposes, procedure and all the confidentiality issues. 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 obtained from study subjects in the school. The respondents’ confidentiality of information was assured by excluding names and identifiers from in the questionnaire and they were informed that they can refuse participation at any time.


Socio-demographic characteristics of study participants

From calculated sample size of 726, 700 adolescent girls provided complete questionnaire making a response rate 97.2%. All of them were urban residents, 60.7% were from governmental schools and 56.3% of them were grade 9 students. Of the participants, 66.7% belonged to 15-19 years of age groups, 52.7 % of them were followers of Orthodox Christianity by religion (Table 1).

Variables Categories Number (n) %
Age 15-17 236 34
17-19 474 66
Religion Muslim 229 33
Orthodox 369 53
Protestant 90 13
Other 12 1.7
Grade Grade 9 394 56
Grade 10 306 44
Type of Schools Private School 276 39
Public School 424 61
Father Education No formal Education 140 20
Primary and Secondary 275 39
Grade12 and College 285 41
Mother Education No formal Education 188 27
Primary and secondary 302 43
Grade12 and College 210 30
Father occupation Dailylaborer 148 21
Government 275 39
Merchant 277 40
Mother occupation House wife 163 23
Government 261 37
Merchant 276 39
Wealth Index Poor 219 31
Middle 264 38
Rich 217 31

Table 1: Socio-demographic characteristics study participants in Adama city, south eastern Ethiopia, 2015.

Of the participants, 37.7% were among middle wealth class group while the rest were categorized among lower and upper class wealth index. Regarding the educational status parents, about 40.7% of their fathers attended some college/university while only 30% their mothers did so. As to the occupation of parents of the study subjects, 39.6% of the respondents’ fathers were merchants and 39.3 % were governmentemployed (Table 1).

Diet/Dietary habit of school adolescent girls

Based on the 24 h dietary recalls the mean Dietary Diversity Score (DDS) was 4.2 (SD 2.01). The proportion of adolescents with minimum dietary diversity (at least consumed from four food groups out of nine food groups) was 41.2%. Among the participants, the all (100 %) of them consumed grains or other starchy roots and tubers (staples), followed by dark green vegetables (80.0%), others fruits and vegetables (79.3%) and legumes (66.7%). Consumption of animal source foods like, organ and flesh meat, dairy product and egg were relatively low (Table 2).

Food Type or Group Categories Frequency(n) %
 Grains or other starchy roots and tubers Yes 700 100
 Vitamin A rich fruits and vegetables Yes 430 61
No 270 39
 Dark Green Leafy Vegetables Yes 560 80
No 140 20
Organ Meat Yes 80 11
No 620 89
Flesh foods Yes 226 32
No 474 68
 Other fruits and vegetables Yes 555 79
No 145 21
 Eggs Yes 218 31
No 482 69
Legumes and nuts Yes 467 67
No 233 33
Dairy products (milk, yogurt, cheese) Yes 317 45
No 383 55

Table 2: Adolescent’s 24 h dietary diversity recall in Adama city, South Eastern Ethiopia 2015.

Food frequency of the study participants

A seven day food frequency questionnaire of major foods and beverages consumed by adolescents indicated that 73.3% of them consumed milk and milk products 1-2 times per week, 50% ate pasta/ rice/bread/potatoes more than three times a week, but only 32.9% of the respondents reported they did not eat meat at least once per week (Table 3).

ConsumptionFrequency Food items Frequency %
Cereals >3times in a week 700 100
Pasta and rice Never 66 9.4
1-2 times/week 280 40
>3times 354 51
Milk and milk products Never 11 1.6
1-2 times/week 513 73
>3times 176 25
Meat Never 230 33
1-2 times/week 277 40
>3times 193 28
Egg Never 239 34
1-2 times/week 235 34
>3times 226 32
Sweets Never 272 39
1-2 times/wk 214 31
>3times 214 31
Cheese Never 483 69
1-2 times/week 141 20
>3times 76 11
Legumes Never 222 32
1-2 times/wk 295 42
>3times 183 26
Fast food Never 324 46
1-2 times/week 189 27
>3times 186 27

Table 3: Seven day food frequency of some food stuffs among school adolescent consumed in Adama city, South East of Ethiopia, 2015.

Nutritional status of the adolescent school girls

Under nutrition or thinness (BMI for age z score <-2) was observed among 21.3% respondents, while 3.3 % of them were overweight and 1.0% had obesity. Similarly 15.6% of the adolescents were stunted (have short stature for their age) (Table 4). Among 21.3% of adolescents with malnutrition, 59.1% and 42.5% of them were born from mothers and fathers who attended school respectively. Of the malnourished adolescents, 47% do not eat egg in weeks, 47.1% had monotonous diet pattern and only 26.8% of them took adequate dietary diversity as reported from 24 hrs before the survey (Table 5).

Variables Total Types of school X2 test (p-values)
N (%) Government Private
BMI for age z score
<-2 z score (thin) 149(21.3) 124 35 20.5(<0.001)
>-2 to<0.99 (Normal) 521(74.4) 297 214 1
1.00 to 1.99 (Overweight) 23(3.3) 3 20 3.2(0.07)
≥+2 Obese 7(1.0) 0(0.0) 7 NA
Height for age z score
<-2 z score(stunted) 109(15.6) 81(19.1) 25(9) 0.7(0.4)
≥-2 (normal) 591(84.4) 343(80.9) 251(91)
Minimum Dietary Diversity
Yes 289(41.2) 195(45.8) 94(34.1) 9.4(0.002)
No 411(58.7) 231(54.2) 182(65.9)

Table 4: Nutritional status of adolescent school girls in Adama City, South Eastern Ethiopia.

Variables Nutritional Status
Thin N (%) Normal N (%) COR (95% CI) AOR (95% CI)
Mother education level Illiterate 85(57.1) 95(18.2) 7.5(4.3-13.6) 5.4(4.71-9.1)*
Primary 43(28.9) 248(47.6) 1.5(0.82-2.7) 1.69(0.91-3.17)*
Secondary/College 21(14.0) 178(34.2) 1  
Father education level Illiterate 44 (29.5) 78(15.0) 3.2(19-5.4) 3.06(1.67-5.63)*
Primary 63(42.3) 206(39.5) 1.73(1.12-2.7) 2.40(1.43-4.04)*
Secondary/College 42(28.2) 237(45.5) 1  
Father occupation Dailylabor 53 (35.6) 97(18.6) 2.62 (1.59-4.3) 2.67(1.48-4.8)*
Government 54 (36.2) 222(42.6) 1.16(0.73-1.87) 1.20(0.74-2.05)
Merchant 42(28.3) 202(38.8) 1  
DDS Low 109(73.1) 282(54.1) 2.31(1.5-3.5) 2.1(1.54-3.89)*
Adequate 40(26.8) 239(45.9) 1  
Sweets/week Never 74(49.7) 168(32.2) 2.1(1.3- 3.4) 1.24(0.701-2.18)
1-2 times/week 38(25.5) 176(33.8) 1.033(0.3-1.7) 0.81(0.45-1.48)
>3times/week 37(24.8) 177(34.0) 1  
Legumes/week Never 30(20.1) 153(29.4) 0.6(0.36-1.0) 1.35(0.74-2.47)
1-2 times/week 54(36.2) 167(32.0) 0.99(0.6-1.5) 1.42(0.79-2.53)
>3 times/week 65(43.6) 201(38.6) 1  
Pattern of eating diversified meal Monotones diet 85(57.1) 203(39.0) 3.1(1.7-5.5) 2.52(1.51-4.19)*
Sometimes 44(29.5) 175(34.0) 1.8(0.98-3.4) 1.8(0.98-3.4)
Always Different 20 (13.4) 143(27.0) 1  
Free time practice Watching TV/computer using 52(35.0) 278(53.4) 0.46(0.31-0.70) 0.88(0.49-1.58)
Walking/sport 97 (65.1) 243(46.6) 1  
Types of school Private 35(23.4) 214(41.0) 1  
Government 124(83.2) 297(57.0) 0.39(0.25-0.60) 0.42(0.21-0.75)*

Table 5: Determinant of nutritional status of school Adolescent girls in Adama city, South Eastern Ethiopia. NB: Adolescents who were overweight were removed from multivariate analysis. *percentage is calculated for column in this data.

Factors associated with nutritional status of the school adolescents

Among socio-demographic and economic factors, age of mothers and fathers of adolescent girls, their households wealth index, religion, grade, , family income, were not significant at binary logistic regression (p values>0.2) and were removed from multivariable logistic regression models. Among dietary habits eating meat, cheese, fast foods predominantly diets eating vegetables and most other variables in seven day food frequency were not significant and then removed from further analyses. Finally, educational status of adolescent girls mothers and fathers, their fathers occupation, dietary diversity, frequency of eating egg, sweets and legumes in a week, perceptions of their dietary diversity, lifestyle’s in their free time and types of schools they are attending fulfilled the criteria and were included in multivariable analysis.

In multivariable logistic regression analysis, adolescent girls’ father and mother education level, occupation of their fathers, their DDS and pattern of meal diversity were significantly associated with under nutrition. Adolescent girls who were from an illiterate father were more likely to develop under nutrition (thinness) compared to those born from fathers of college level training (AOR=3.06, 95% CI=1.67-5.63). In addition, those adolescent girls from daily laborer fathers were twice more likely to be undernourished compared to those adolescent girls from merchant fathers (AOR=2.67, 95%, CI: 1.48-4.8). Adolescent girls who had low DDS were more likely to be thin (AOR: 2.1 95% CI: (1.54-3.89) than those adolescents with high DDS. Similarly, regarding meal diversity perception, those adolescent girls who perceived their diet was monotonous were more likely to develop wasting (AOR=2.52, 95%, CI=1.51-4.19) compared to those who had diversified food on daily bases. Adolescents from uneducated mothers and mothers who attended primary school were more likely to have undernourishment compared to mothers who attended some formal college training (Table 5).


This study showed that 21.3% of the adolescents were underweight, 3.3% of them were overweight and 1.0% had obesity. Of the adolescents, 15.6% were stunted and 41.2% of them received minimum dietary diversity (MDD) recalled from a 24 h before the survey. The predictors of under-nutrition among adolescent girls were: adolescents from mothers and fathers who did not attend formal education, from daily laborer and government employee fathers, adolescents with low dietary diversity, and adolescents who perceived their diet was monotonous.

Problems related to nutrition have been identified as important concerns for public health in Ethiopia. Many studies have been carried out to identify the extent and consequence of malnutrition in different population groups. Thus, adolescents demonstrate the vulnerability of those who have not received appropriate attention to ensure that their nutritional needs are met. This study is important indicators for nutritional status of ‘’tomorrow mothers’’ where all stakeholders should work hand in hand to cut the intergenerational cycle of malnutrition. It is worth to notices that this study is conducted in urban area where majority of the household have better exposure to health information and awareness through different media as well as the relative suffer of adolescent girls in city are assumed to be better than rural in fetching water, collecting fire wood and assisting families in farm activities. Therefore the magnitude of this study could be an indicative of public health importance of this study which may require different interventions.

This study revealed that prevalence of under-nutrition among adolescent students was 21.3% and this finding is lower than the study in Ambo (27.5%, [21], higher than study conducted in Addis Ababa city (13%) [22]. This might be due to the difference in socioeconomic background between the cities. Other studies in Ethiopia indicated that 37.8% were wasted in Tigray region [12]. These findings indicated that under-nutrition is a major public health problem in majority of Ethiopian communities including urban and rural adolescents. The differences in prevalence could be associated with the sociodemographic and economic characteristics of household.

The prevalence of overweight was 3.3%, which is another form of malnutrition that may be associated with nutritional transition among adolescents. The finding of this study is relatively low compared to the study conducted in Hawassa (12.9) [14], but higher than Mekelle (2%) [12], and Ambo (2.6) [21]. This finding can alert policy makers about the presence of double burden (under and over nutrition) in the same community. In addition, about 1.0% of adolescents were obese and this is lower compared to the findings from Ambo (1.7%) [21] and Addis (2.6) [22]. So, this study calls for a need to give health information about the impact of over nutrition in addition to teaching about endemic under-nutrition in Ethiopia. Among children with overweight and obesity, the majority of them were from private schools that may be associated with the welfare of the households and related reduced outdoor physical activities. The magnitude of overweight adolescents girls was higher among private school girls compared to government schools (p=0.07) and all of the obese adolescents were from private schools that could be due to the fact that private schools are mainly attended by students from better socioeconomic status.

The prevalence of stunting in this study was 15.6% which is due to a prolonged shortage of balanced meals, especially amongst children from poor families. This finding is similar to the study conducted in Babile, but higher than the previous study conducted among children in Adama (12.6%) [23] And Kersa district of eastern Ethiopia (8.9%) [24]. Similar to wasting, stunting is also relatively higher in government schools than in the private schools, even though the difference was not significant. It is know that short stature is associated is cephalopelvic disproportion and increased risk of maternal complications during child birth. In addition studies showed that stunted mothers will give birth of stunted child which indicate that international cycle of malnutrition. Studies showed that stunting was associated with delayed school entry, repetition and dropout rates, as well as decreased graduation rates from primary and secondary school, and lower school performance [25]. Similarly, early childhood stunting was associated with lower adult body-mass index (BMI) but higher risk of developing central adiposity [26].

The proportion of children, who received at least from four more food group out of nine, is 41.2%. This finding is lower than the study conducted in Bale zone (80.7%) [27] and chiro town (74.2%) [28], but higher than Libo Kemkem and Fogera Districts adolescents (5%) [29] and the study by Wassie et al. (15%) [30]. The current study revealed that adolescent girls with higher DDS were more likely to have normal BMI-for- age Z scores as compared to those having low DDS (Table 3). This is because when the IDDS is high, adolescents will get adequate energy and other important nutrients having role in growth and development. Even though the magnitude of adequate dietary diversity is varied across the regions, the proportion of adolescents with low dietary diversity is common in Ethiopia. This needs great attention to curb its long lasting consequences.

Dietary diversity has been used as proxy indicators for food quality and security [31], which may be due to its ability to capture consumption of both macro and micronutrients or a more balanced diet in the general sense without the need of measuring the quantity of food consumed, which may in turn be difficult in certain contexts. Malnutrition found in these school-aged adolescents living in Adama city is associated with a low DD together with other socio demographic factors of the household. In this study, we also found that 42.9% of adolescents expressed their diet as monotonous which is mainly based on low energy and low nutrient foods, such as cereals or tubers and is low in animal source foods. Of the children with wasting, 57.1% perceived that their diet is mostly monotonous. With regard to growth spurts in adolescents, even though the actual need of energy at this time may vary greatly with physical activity level, basal metabolic rate (BMR) and body composition, inadequate intake of energy leads to malnutrition. Studies also showed that meal pattern of the adolescent may follow pattern of their family as they grew up, they are influenced by their family feeding/dietary diversity behaviors [32].

Studies in Ethiopia indicated that food consumption patterns are very diverse and their food basket consists of a wide variety of grains and other staples, which are varied across agro-ecology, socioeconomic levels, and livelihood strategies [33] as well as affected by tradition of the societies and food preferences [34]. In addition, differences and inequalities in dietary diversity among urban and rural areas was reported previously [35,36].

This study found that adolescents of fathers from lower levels of education had a significantly higher risk of being underweight than those of fathers who attended above grade 12 or higher level of education. This finding is consistent with the study done in western Ethiopia [12]. This indicated that the educational attainment of the father could lead to a higher income and may imply a higher availability of food and household resources as well as being positively associated with higher nutritional awareness.

This study showed that being adolescents from mothers having nonformal education were significantly associated with under-nutrition. This study is in agreement with the study done in urban slums of Dibrugarh which showed that the prevalence of both stunting (41.80) and thinness (44.26%) was much higher among girls who came from families whose mothers were illiterate [37]. Similarly studies from different parties of the world indicted that maternal education are closely related to child health measured either by nutritional status or by infant and child mortality but the effect of father's education appears to be about one half that of mother's education [38,39].

Another striking finding of this study was that adolescents from private schools were less likely to acquire wasting compared to government school adolescents, which indicate that the causes of malnutrition are associated with household income. This difference is observed because most of the students going to private schools were from the families who are able to afford school fees while the government school is free of any charge. Another studies in Ethiopia indicated that higher prevalence of under nutrition among adolescents from lower family income or those adolescents born from lower income fathers was undernourished compared to counterparts [13].

A limitation of this study is that most of the data was collected from self-administered forms and therefore social desirability bias may be present. But during data collection adequate information was given to participants about the importance and confidentiality of information and were seat in separate chair and not able to see/read the response of each other’s. Other limitation of this study was that this study was conducted in urban and do not generalize to rural adolescent girl population.


This study revealed that under-nutrition was relatively high among urban adolescent girls and adolescent’s parent education, adolescent’s meal pattern and dietary diversity were predictors of the observed under-nutrition. Recognizing the intergenerational effect of malnutrition and high prevalence of under-nutrition in the city, there is a clear need for carefully designing interventions that reduces the risks of malnutrition among adolescent girls in Adama city.


We would like to thank Rift Valley University for the financial support of this study. We would like to thanks the study participants, data collectors, data clerk, school directors and section leaders for their great contribution during our study.


Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Recommended Conferences

  • 6th International Conference on Sports Nutrition & Fitness
    August 06-07, 2018 Tokyo, Japan
  • 27th World Congress on Diet, Nutrition and Obesity
    September 7- 8, 2018 Auckland, Newzealand
  • 17th World Congress on Nutrition and Food Chemistry
    September 13-15, 2018 London, UK
  • 8th Annual Congress on Probiotics & Functional Foods
    September 24-25, 2018 Tokyo, Japan
  • International Conference on Food Production and Preservation
    Oct 17-18, 2018 Ottawa, Canada
  • International conference on Probiotics and Prebiotics
    October 31 - November 01, 2018 San Francisco, USA
  • 30th International Conference on Nutraceuticals & Public Health
    November 5-6, 2018 Bangkok, Thailand

Article Usage

  • Total views: 11453
  • [From(publication date):
    May-2016 - Aug 14, 2018]
  • Breakdown by view type
  • HTML page views : 10736
  • PDF downloads : 717

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A


[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


porn sex

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

Gaziantep Escort

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A


[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

mp3 indir

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals


Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T


[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7