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, 12:54 | Cite as

Household food insecurity predisposes to undiversified diet in northwest Ethiopia: finding from the baseline survey of nutrition project, 2016

  • Amare Tariku
  • Kedir Abdela GoneteEmail author
  • Gashaw Andargie Bikes
  • Kassahun Alemu
  • Aysheshim Kassahun Belew
  • Molla Mesele Wassie
  • Tadesse Awoke Ayele
  • Ejigu Gebeye
  • Zegeye Abebe
  • Azeb Atnafu Gete
  • Melkie Edris Yesuf
  • Yigzaw Kebede
  • Abebaw Addis Gelagay
  • Kindie Fentahun Muchie
Open Access
Research note

Abstract

Objective

Adolescence represents a critical stage of life, characterized by rapid physical growth and development; varying levels of physical, social and psychological maturity; and a transition from total socio-economic dependence to relative independence. Focusing on adolescents’ nutrition, especially girls, provides a unique opportunity to break the intergenerational cycles of malnutrition. But, there is little information about the dietary diversity of adolescent girls in Dabat district. Therefore, the survey aimed to assess the prevalence and associated factors of dietary diversity among adolescent girls.

Results

The overall prevalence of adequate dietary diversity among adolescent girls was 14.5 (95% CI 12.9, 16.2). The prevalence of adequate dietary diversity among adolescent girls was very low and food insecurity is one of the predisposing factors for low dietary diversity. Therefore, working to enhance household’s food security status is recommended to boost dietary diversification of adolescent’s girls.

Keywords

Adolescent girls Dietary diversity score Dabat 

Abbreviations

HDSS

Health and Demographic Surveillance System

WHO

World Health Organization

BMI

body mass index

FANTA

Food and Nutrition Technical Assistance

AOR

adjusted odd ratio

CI

confidence interval

Introduction

Dietary diversity is a qualitative measure of food consumption that reflects household access to a variety of foods and is also a proxy for nutrient adequacy of the diet. The dietary diversity assessment tool is rapid, user-friendly and easily administered low-cost measurement tool [1].

According to the World Health Organization, the adolescent is defined as people whose age ranged between 10 and 19 years [2]. Adolescents constitute 18% (1.2 billion) of the global population [3]. Adolescence marks a critical period of biological and psychosocial growth and development that is unique among phases in the life cycle [4]. Up to 45% of skeletal growth, 15–25% of adult height and 37% of total bone mass are achieved during adolescence [5]. This unique period demands intake of extra nutrients. During the growth spurt of adolescence, up to 37% of total bone mass may be accumulated [6]. Because of this fact, adolescents have increased nutrient demand [7].

In spite of this fact, undiversified diet is commonly noted in poor households [8]. For instance, more than half of adolescent girls and women had low dietary diversity in Bangladesh, and about 70% of participants kilocalories per capita per day from rice alone [9].

In Ethiopia 27% of women were chronic energy deficient (body mass index < 18.5 kg/m2), 17% were anemic, and 6% of rural women were experiencing night-blindness in their most recent pregnancy [10].

Malnutrition during adolescence can have lifelong consequences. Gender norms can leave girls disproportionately impacted by food insecurity, but many adolescent boys are malnourished as well and adolescents girls, especially girls in poorer households consume inadequately diverse diets [9]. In developing countries like Ethiopia, there is limited community based studies, assessment, and interventions among adolescent girls.

Despite intensifying efforts to improve adolescent’s dietary diversity and to prevent nutritional problems and its related consequences, the level of diversified diet and its barriers are not well-investigated in Ethiopia. Some available studies were conducted in urban settings which limits the representativeness of the finding [11]. Therefore, our study aimed to assess dietary diversity and associated factors among adolescent girls in Dabat Health and Demography Surveillance System (HDSS) site by addressing the above limitations.

Main text

Methods

This study is part of a baseline survey conducted from February to June 2016 for a project entitled ‘Establishing a nutritional surveillance system and piloting nutritional interventions’. This is a 5-year project and has been implemented in Dabat Health and Demographic Surveillance System site, Dabat District, northwest Ethiopia. The site was established in 1996, and currently, it covers a total of 13 kebeles (9 rural and 4 urban kebeles, smallest administration units in Ethiopia) with 17,000 households.

In the baseline survey all pregnant and lactating mothers, children under 5 years and adolescent girls were investigated for varied nutritional, dietary intake, health care utilization, and morbidity characteristics. For this study, all adolescent girls with relevant data were included in the analysis. To check whether the sample size of 1550 enables to estimate adolescent dietary diversity, we used a single population proportion formula to calculate the minimum sample size. Accordingly, the following assumption were considered; a 75.4%, prevalence of adequate dietary diversity, a 95% level of confidence, a 4 margin of error and a 5% non-response rate However, to increase the statistical power we included all eligible adolescents, 1550 adolescent girls.

The structured interviewed administered questionnaire was used for the baseline survey. For this study, a checklist was prepared to select appropriate variables. The outcome variable i.e. dietary diversity was measured using standardized woman dietary diversity score tool. A 24 h recall method was employed. The tool consisted of nine food groups, namely starchy staples, dark green leafy vegetables, other vitamin A rich fruits and vegetables, other fruits and vegetables, organ meat, meat and fish, eggs, legumes, nuts and seeds, and milk and milk products [12]. Considering four food group as a minimum dietary diversity, the total dietary diversity score was classified as adequate if an adolescent girl had four and above dietary diversity score, otherwise, they were deemed having inadequate dietary diversity if their dietary diversity score was less than or equal to three.

Similarly, the household food security status was assessed using standardized tool adopted from Food and Nutrition Technical Assistance (FANTA) 2007.

The baseline survey questionnaire was initially prepared in English and translated into Amharic and retranslated to English with language and public health experts to check the consistency. The questionnaire was pretested in one kebele out of the kebeles under the HDSS site. Experienced 38 data collectors and seven field supervisors who have been permanently working HDSS site were involved in the data collection process. Three days training on interviewing technique and data collection process was given to data collectors and supervisors. Supervisors checked the overall baseline survey on daily basis.

All filled questionnaire were checked manually for completeness and consistency. Epi-data and SPSS version 20 were used for data entry and analysis, respectively. Double data entry carried out to check error during data entry. Descriptive statistics, including frequencies and proportions, were computed and presented using texts, and tables. Both bi-variable and multivariable binary logistic regression analysis were performed. In the bi-variable analysis, variables with a p-value of < 0.2 were considered into the final model and adjusted odds ratio (AOR) with 95% Confidence Interval (CI) was used to show the presence and strength of association. Finally, a p-value of less than 0.05 in the multivariable logistic regression model was used to identify variables significantly associated with dietary diversity.

Results

Socio-demographic characteristics

A total of 1550 adolescent girls were included for analysis, of which 63.6% were in the age range of 10–14 years (early adolescence). A substantial proportion, (88.1%), of adolescents have been attending elementary school while few (4.5%) were not able to read and write. The majority, 86.5 of the adolescents were rural residents. The majority of the adolescents, 89.2%, were being a student in occupation (Table 1).
Table 1

Socio-demographic characteristics of adolescent girls in Dabat HDSS site, northwest Ethiopia, 2016

Variables

Response

Frequency

Percentage

Ethnicity

Amhara

1547

99.8

Others

3

0.2

Religion

Muslim

45

2.9

Orthodox

1502

96.9

Others

3

0.2

Ages of the adolescent

Early adolescent (10 to 14)

986

63.6

Middle adolescent (15 to 17)

502

32.4

Late adolescent (18 to 19)

62

4

Educational level

Unable to read and write

70

4.5

Able to read and write

38

2.5

Elementary

1366

88.1

High school

74

4.8

Certificate and above

2

0.1

Marital status of adolescent

Single

1496

96.5

Married

47

3

Divorced

7

0.5

Residency

Rural

1340

86.5

Urban

210

13.5

Occupation

Un employed

20

1.3

Farmer

37

2.4

Student

1383

89.2

Own business

110

7.1

Usual house work

 Fetching water

No

53

3.4

Yes

1497

96.6

 Wood collection

No

357

23

Yes

1193

77

 Farming

No

971

62.6

Yes

579

37.4

 Market

No

869

56.1

Yes

681

43.9

 Mashing

No

748

48.3

Yes

802

51.7

 Baking

No

579

37.4

Yes

971

62.6

 Crushing

No

1120

72.3

Yes

430

27.7

Dietary diversity and other nutrition and health related characteristics

The overall prevalence of adequate dietary diversity among adolescent girls was 14.5% (95% CI 12.9, 16.2). Based on the 24 h dietary recall, almost all. 99.9%, of adolescents ate starchy staples. Despite 42.5% of adolescents were from households with home gardening, a considerably high proportion, (91.2%), of them did not consume dark green leafy vegetables and other vitamin-A rich food groups (98%). Near to three-fourth, (74.9%), of the households were food secured. Finally, nearly half 734 (47.4) adolescents were stunted, while 16.1% were thin.

Only one-tenth, 150 (9.7%), of the adolescents began menstruation between the age range of 15 to 17 years. Two-third, 1020 (65.8%), of participants took the de-worming tablet in the previous 6 months (Table 2).
Table 2

Dietary diversity and other nutrition and health related characteristics of adolescent girls in Dabat HDSS site, northwest Ethiopia, 2016

Variables

Response

Frequency

Percentage

Dietary diversity

Adequate DD

225

14.5

Inadequate DD

1325

85.5

Starchy staples

No

2

0.1

Yes

1549

99.9

Dark green leafy vegetables

No

1414

91.2

Yes

136

8.8

Other vitamin A rich fruits and vegetables

No

1519

98.0

Yes

31

2

Other fruits and vegetables

No

966

62.3

Yes

584

37.7

Organ meat

No

1536

99.1

Yes

14

0.9

Meat and fish

No

1247

80.5

Yes

303

19.5

Eggs

No

1482

95.6

Yes

68

4.4

Legumes, nuts, and seeds

No

289

18.6

Yes

1261

81.4

Milk and milk products

No

1388

89.5

Yes

162

10.5

Meal frequency

< 3 meals

69

4.5

≥ 3 meals

1489

95.5

Purpose of home gardening

No home gardening

892

57.5

Fully for selling

12

0.8

Partially for selling

131

8.5

Totally for household consumption

515

33.2

Previous alcohol intake

No

188

12.1

Yes

1362

87.9

Current alcohol intake

No

371

23.9

Yes

1179

76.1

Frequency of alcohol intake

Daily

55

3.5

One time per week

434

28.0

One times per month

543

35.0

Two times per month

518

33.5

Stunting

Not stunted

816

52.6

Stunted

734

47.4

Thinness

Not thin

1300

83.9

Thinness

250

16.1

Beginning of menstruation

No

1400

90.3

Yes

150

9.7

Menstruation started age

11–14

67

4.3

15–17

83

5.4

Taking de-worming tablet

No

530

34.2

Yes

1020

65.8

Taking iron folic acid tablet

No

1388

89.5

Yes

162

10.5

Food security status

In secured

389

25.1

Secured

1161

74.9

Factors associated with dietary diversity score

In the bivariate logistic regression analysis illustrated that adolescent age, occupation, educational status, and household food security had p-value of less than 0.2; accordingly passed the variable screening criteria then fitted to multivariate analysis. In the final model, only household food security status showed significant association with adolescent’s dietary diversity. Based on this finding, the odds of having adequate dietary diversity were 1.47 times (AOR = 1.47; 95% CI 1.033, 2.092) higher among adolescents from food secured households compared to adolescents living in food insecure households (Table 3).
Table 3

Factors associated with adequate dietary diversity among adolescent girls in Dabat HDSS site, northwest Ethiopia, 2016

Variables

Response

Dietary diversity

COR 95% CI

AOR 95% CI

Adequate

Inadequate

Food in security

In secured

44

344

1

1

Secured

181

981

1.442 (1.015, 2.050)

1.470 (1.033, 2.092)*

Adolescent occupation

Farmer

10

47

1

1

Student

204

1179

0.813 (0.404, 1.635)

0.774 (0.381, 1.574)

Own business

11

99

0.522 (0.207, 1.316)

0.604 (0.236, 1.541)

Age of adolescents

Early (10–14)

157

829

1

1

Middle (15–17)

62

440

0.744 (0.543, 1.020)

1.410 (0.569, 3.498)

Late (17–18)

6

56

0.566 (0.240, 1.336)

1.116 (0.448, 2.779)

Adolescent educational status/level

Unable to read and write

10

60

1

1

Read and write

5

33

0.909 (0.287, 2.884)

0.899 (0.282, 2.867)

Elementary school

205

1161

1.059 (0.534, 2.103)

1.057 (0.531, 2.108)

Secondary and above

5

71

0.423 (0.137, 1.304)

0.522 (0.164, 1.662)

* p value < 0.05

Discussion

It well documented that woman dietary diversity is proxy indicators of micronutrient intake. The overall prevalence of adequate dietary diversity among adolescent girls was 14.5 (95% CI 12.9, 16.2). This finding is similar to the studies conducted in, Abia State, Nigeria 15.4% [13]. The high prevalence of inadequate dietary diversity in this study suggested that 85.5% of adolescent girls had poor micronutrient intake which ultimately increases their risk developing micronutrient deficiency. Adequate micronutrient (nutrient intake in general) is very critical in adolescence as it is a period of menarche and achieving substantial overall growth [11, 14]. In spite of this fact, the current finding necessitated giving critical attention to adolescent girls to lift them from the high risk of impaired growth and development, including delayed menarche and other reproductive performance measures [15].

In contrast, the reported prevalence of adequate dietary diversity was lower than earlier studies local studies in Ethiopia; Amhara Regional State (45%) and Gurage Zone, Southwest Ethiopia 26.8% [16]. Moreover, considerably high proportion of diversified diet reported urban areas of Ethiopia, specifically Gondar (75.5%) [17], Adama (54%) [18], Jimma (38.7%) [19], and Goba (45.3%) city administrations [20]. These variations in diversified diet consumption could be attributed to the characteristics of the study participants and study setting. Obviously, our study covered a wider population majority of which were rural residents (86.5%) unlike the latter reports most of which were carried out in the urban areas. A number of local studies showed better food security status of urban households than the rural households. Food security status positively affects dietary diversification or dietary intake of families. Furthermore, surpassed literacy rate and health care utilization in urban residents could also explain the improved dietary diversification among adolescent girls living in cities [21].

Our studies also lower prevalence than the studies conducted in Agarfa High School, Bale Zone, Ethiopia 80.7% [22], Goba Town, Southeast Ethiopia 45.3% [20], Gurage Zone, Southwest Ethiopia 26.8% [16], Gondar, Ethiopia 75.5% [17], Amhara Region, Ethiopia 45% [10], Adama City, Central Ethiopia 54% [18], Jimma Town, Southwest Ethiopia 38.7% [19], Southwestern Nigeria 22.5% [23]. Their difference might be due to, the majority of the participants were seen in the middle and high wealth tertile and the households who have a high economic level were a high probability to increase the diversifications of the diet. It seems that the DDS improved when the consumption of healthy food groups increased [24].

On the other hand, level of dietary diversity in our study is better than what was reported in Slum areas of Dhaka City (8.7%) in Bangladesh [10]. Slum areas are well known with impaired socio-economic status and sub-standard living conditions. These typical characteristics of slum areas adversely affect dietary habit of adolescent girls and the community at large.

In agreement to this scientific explanation, our study revealed increased odds of having adequate dietary diversity among girls living in food secured households compared to adolescents of food insecure households. The positive association between household food security and dietary diversification was also noted by different local and African reports [16, 19, 25]. It is evident that improved wealth status tends people to purchase and consume a variety of diet hence diversification of diet makes the diet more palatable and pleasant [26]. The inseparable relationship between provided good insights into the accessibility of nutrient-dense foods among the poor segment of the population. Thus, food insecurity predisposes people to relay on an undiversified diet. In general, monotonous diet has poor diet quality hence it is unlikely to get all essential nutrients in serving to consist of single food item/group [27]. Deprivations of calorie and nutrient intake for a prolonged period can erode both physical and mental capacity of growing adolescents which leads to economically less productive population [28].

This study investigated the dietary habit of adolescent girls majorly from a rural community, and a large number of both in school and out school adolescents were included which ultimately enhances the generalizability and statistical power of the study. Nevertheless, the study is not free from recall, social desirability, and misclassification biases while measuring/reporting consumption of food items and using the standardized cut-off in dichotomizing dietary diversity of participants into adequate and inadequate dietary diversity. Despite dietary diversity measurement is well documented proxy indicator of diet quality particularly for developing countries where quantification of food intake is not feasible in community-based researches, its qualitative nature could be considered as the limitation of the study.

Conclusion

Dietary diversity among adolescent girls was considerably low in northwest Ethiopia. Food insecurity was significantly associated with undiversified diet. Given that, working to enhance household’s food security status is recommended to boost dietary diversification of adolescent’s girls.

Limitation

The dietary diversity score was measured with 24 h recall methods and such measurement lack determination of usual habit of the foods.

Notes

Authors’ contributions

Conceptualization: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Data curator: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Formal analysis: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Funding acquisition: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Investigation: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Methodology: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Resources: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Software: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Supervision: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Validation: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Visualization: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Writing—original draft: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. Writing—review and editing: AT, KAG, GAB, KA, AKB, MMW, TA, EG, ZA, AAG, MEY, YK, AAG, and KF. All authors read and approved the final manuscript.

Acknowledgements

We are thankful to adolescent girls, interviewed families, data collectors and supervisors of this study.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Data will be available upon request from the corresponding author.

Consent for publication

Not applicable.

Ethics approval and consent to participate.

Ethical clearance was obtained from the Institutional Ethical Review Board of Gondar of University. Supportive letters were obtained from Dabat district Health education. For those students below 18 years age were taken permission and written consent from their families. Written informed consent and assent was obtained from each mother and the participated student in responding the questions after clearly informing the purpose, benefits, confidentiality of the information, and voluntary nature of participation in the study. Name and other personal identifiers were not recorded to maintain confidentiality.

Funding

No funding was obtained for this study.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Amare Tariku
    • 1
  • Kedir Abdela Gonete
    • 1
    Email author
  • Gashaw Andargie Bikes
    • 2
  • Kassahun Alemu
    • 3
  • Aysheshim Kassahun Belew
    • 1
  • Molla Mesele Wassie
    • 1
  • Tadesse Awoke Ayele
    • 3
  • Ejigu Gebeye
    • 3
  • Zegeye Abebe
    • 1
  • Azeb Atnafu Gete
    • 1
  • Melkie Edris Yesuf
    • 1
  • Yigzaw Kebede
    • 3
  • Abebaw Addis Gelagay
    • 4
  • Kindie Fentahun Muchie
    • 5
  1. 1.Department of Human Nutrition, Institute of Public Health, College of Medicine and Health SciencesUniversity of GondarGondarEthiopia
  2. 2.Department of Health System Policy, Institute of Public Health, College of Medicine and Health SciencesUniversity of GondarGondarEthiopia
  3. 3.Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health SciencesUniversity of GondarGondarEthiopia
  4. 4.Department of Reproductive Health, Institute of Public Health, College of Medicine and Health SciencesUniversity of GondarGondarEthiopia
  5. 5.Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health SciencesBahir Dar UniversityBahir DarEthiopia

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