Research Article - (2022) Volume 7, Issue 1
Prevalence And Associated Factors of Thinness Among Adolescent Girls Attending High School In Soro District, Hadiya Zone, Southern Ethiopia
Received Date: Dec 28, 0001 / Accepted Date: Jan 01, 2022 / Published Date: Jan 27, 2022
Copyright: ©Tegegn Arficho. 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
Citation: Denebo Akiso., Tegegn Arficho. (2022). Prevalence And Associated Factors of Thinness Among Adolescent Girls Attending High School In Soro District, Hadiya Zone, Southern Ethiopia. Adv Nutr Food Sci, 7(1), 94-100.
Abstract
Background: Despite the government of Ethiopia is striving to reduce the prevalence of the undernutrition, thinness among adolescents is one of the challenging nutritional issues in lifecycle approach in Ethiopia. Therefore, this study was aimed on determining the prevalence of thinness and its associated factors among adolescent girls attending high schools in Soro District, Hadiya Zone, Southern Ethiopia.
Methods: Institution based comparative cross sectional study design was employed. The study was conducted from March 15 to April 15, 2019 in high schools of rural and urban settings of Sorro District, Hadiya Zone. Both binary and multivariable logistic regression analysis were done to identify the factors associated with thinness among adolescent girls.
Result: A total of 414 adolescent girls were participated in this study making the response rate of 100%. The mean age were (17.01± 1.55) and 16.90 ± 1.48, P = 0.437) among adolescent girls in rural and urban high schools respectively. The overall prevalence of the thinness among female adolescents attending high schools in Soro district, Hadiya Zone was 6.8%. There was no statistically significant difference in thinness among adolescent girls in rural and urban high schools. Household wealth tertile AOR: 4.19; 95% C.I: 1.13-15.47, P <0.05, source of drinking water AOR: 2.31; 95% C.I: 1.01- 5.30, P <0.05, dietary diversity AOR: 3.99; C.I: 1.15-13.82, P <0.05 and skipping breakfast AOR: 2.97; C.I: 1.28-6.92, P <0.05 were found to be independent factors associated with thinness.
Conclusion: Being low in household wealth tertile, unprotected source of drinking water, inadequate dietary diversity and skipping breakfast were those factors identified to be independently associated with thinness among female adolescents. Attention should be given from government and nongovernmental organizations by empowering household economic capacity, extending access for pure drinking water and increasing nutrition sensitive agriculture focusing on maintaining food varieties.
Keywords
Thinness, Adolescents, Girls, Ethiopia, High School, Prevalence, Factors.
Background
World Health Organization (WHO) defines adolescences as indi-viduals in the age groups of 10-19 years of age and it is the transi¬tion period that lies between childhood and adulthood [1]. Adoles¬cence is the second most rate of growth period regarding physical growth in life cycle after infants, due to this their nutritional needs are high and accompanied by the gradual development of repro¬ductive organs, secondary sexual characteristics and menarche in girls [2]. Poor nutrition occurred at this stage span across genera¬tions, affecting all stages of the life cycle [3]. They are nutritional-ly vulnerable for a number of specific reasons including their high nutrients requirements for their rapid growth rate, their eating pat- terns lifestyles, their risk-taking behaviors and their susceptibility to environmental influences [1]. The vast majority of adolescents, 90 percent, live in low and middle-income countries (LMICs). In 2016, 25% of the total population was represented by adolescents in Ethiopia [4].
WHO recommend the new WHO Growth Reference to mea-sure thinness among adolescent by using body mass index-for-Age (BAZ) indices. Accordingly, those with BAZ (BMI for age Z-score) less than -2SD are categorized under thinness [5]. Global¬ly, the prevalence of thinness among adolescent girls was 8.4%and the trends of prevalence of thinness decreased from 9.2% in 1975 to 8.4% in 2016 [6]. However, the prevalence of thinness is highest in south Asia and Africa which were 41% and 12.5%, respectively [7]. Despite the government of Ethiopia is striving to reduce the prevalence of the undernutrition, thinness among adolescents is one of the challenging nutritional issues in lifecycle approach in Ethiopia. Besides the attention is given on reducing the prevalence of the undernutrition among children even if the adolescence pe-riod needs nutritional priority to break the intergenerational cycle of undernutrition.
Few studies were conducted to find out the prevalence of the thin¬ness among adolescent girls and factors associated with thinness among adolescents in Ethiopia generally and in the study area particularly. It needs to undertake studies to fill the information gap according to thinness among adolescent girls that is helpful for program planers and policy makers on adolescent nutrition. Hence, this study was aimed on determining the prevalence of thinness and its associated factors among adolescent girls attend¬ing high schools in Soro District, Hadiya Zone, Southern Ethiopia.
Methods
Study area and design
Sorro District is located in Hadiya zone, Southern regional state of Ethiopia. Geographically, it is situated at 32 Km South-East of Hossana that is the capital city of Hadiya Zone and 264 Km away from Addis Ababa, the capital city of Ethiopia. Main eco-nomic activity of the rural district peoples depend on agricultural products mainly teff, wheat, inset, barley, corn, bean, pea and do¬mestic animals. Besides, the main economic activity in urban area is market oriented business activities and civil servant’s services [8]. The study was conducted from March 15 to April 15, 2019 in high schools of rural and urban settings of Sorro District, Hadiya Zone. Institution based comparative cross sectional study design was employed.
Study population
All adolescent girls attending high schools at rural and urban settings of Sorro district were the source population of the study while those adolescent girls selected randomly for the study were the study population. All adolescent girls who were attending their secondary education in high schools found in urban and rural areas of Sorro District were included in the study. However, those were severely ill and who had physical deformity at the time of data collection were excluded from the study.
Data collection procedures
Sample size was determined by using two population proportion formula for each specific objective, was used by considering the following assumptions and finally the largest sample size was tak-en. The final sample size was 414. A multi stage sampling methods was employed to select the study subjects. Initially Sorro district was selected purposively. Then the high schools were stratified in to high schools resided in rural and urban areas and the sample size was allocated accordingly.
At the first stage there were two urban highs schools and eight rural high schools in Soro district. Then after three high schools were selected from rural setups by using simple random sampling method and the two high schools were taken from urban areas. Secondly, the sample size for high schools rural and urban settings was allocated proportion to population size allocated to size for each grades of selected high school and then to each sections of grade based on number of study subjects was found. Finally, sim¬ple random sampling of lottery methods was used to select study subjects from each section of grades by using students’ roster as the sampling frame.
Structured questionnaire which were pretested in a high school out of those high schools selected for the study by considering 5 % of the questionnaire. Anthropometric measurements like UNICEF portable electronic digital weight scale and Stadiometer with a moveable headboard (Hannover, Germany) were used to measure study subject’s anthropometry. The data were collected by face to face interview and by taking anthropometric measurements through trained four female diploma nurses and supervised by two health officers. Moreover, the principal investigator monitored and coordinated the overall research activities.
A four-item adolescences food security scale, developed and tested in another study was used to assess adolescent girl’s food security status, the questions in the scale asked whether girls within the last month had (1) ever worried about having enough food, (2) ever had to reduce food intake because of shortage of food or lack of money to buy food, (3) ever had to go without eating because of shortage of food or money to buy food or (4) ever had to ask outside the home for food. Dietary diversity data were collected by asking participants the type of consumed in home or outside of compound in previous 24 hour before recall from nine food groups(38) [9].
Operational definition
Thinness - Adolescent girls whose BMI-for-age (BAZ) is below the -2 Z –scores the median of the WHO reference population are considered as thin or acutely malnourished [10].
Data analysis process and procedure
The data were entered on Epi-data version 3.1, cleaned, edited and were exported to SPSS for windows version 20 for analysis. BMI for age Z-score was analyzed by using WHO anthro plus software version 1.0.4(5) and recoded into dichotomies a variable. Descrip¬tive statistics including proportion, percentage, tables, graphs, frequency distribution, mean and standard deviation was used to describe the data. Principal component analysis was used assess household wealth status. Bivariate logistic regression analysis was done to see the association between individual explanatory and outcome variables with P-value <0.25 and to select candidates for multivariable binary logistic regression. Then finally, multivari¬able binary logistic regression model by using adjusted odds ratio (AOR) with 95% confidence interval (CI) was used to measure independent factors associated with outcome variables and P-value less than 0.05 was used to declare level of statistical significance [5].
Results
Socio demographic and economic characteristics of study par-ticipants
A total of 414 adolescent girls were participated in this study mak-ing the response rate of 100%. The mean age were (17.01± 1.55) and 16.90 ± 1.48, P = 0.437) among adolescent girls in rural and urban high schools respectively. There was no significant differ¬ence in age between rural and urban students (P-value= 0.437). In both settings 197 (95.2%) in rural areas and 189 (91.3%) dom¬inant ethnic group was Hadiya likewise protestant religion was also dominant in both settings (85.5% in rural and 82.1% in urban) (Table 1).
Table 1: Socio demographic and economic characteristics of adolescent girls attending high schools in rural and urban settings of Sorro district, Hadiya Zone, Southern Ethiopia, 2019
|
variables |
Categories |
High schools |
Total (N = 414) (%) |
|
|
Rural (n = 207) (%) |
Urban (n =207) (%) |
|||
|
Age category |
13-14 |
10 (4.8%) |
12 (5.8%) |
22 (5.3%) |
|
15-19 |
197 (95.2%) |
195 (94.2%) |
392 (94.7%) |
|
|
Religion |
Protestant |
177 (85.5% ) |
170 ( 82.1% ) |
347 (83.8%) |
|
Orthodox |
6 (2.9%) |
18 (8.7%) |
24 (5.8%) |
|
|
Catholic |
24 (11.6%) |
19 (9.2%) |
43 (10.4%) |
|
|
Ethnicity |
Hadiya |
197 (95.2%) |
189 (91.3%) |
386 (93.2%) |
|
Amhara |
6 (2.9%) |
10 (4.8%) |
16 (3.9%) |
|
|
Kambta |
3 (1.4%) |
6 (2.9%) |
9 (2.2%) |
|
|
Others |
1 (0.5%) |
2 (1%) |
3 (0.7%) |
|
|
Family size |
≤5 |
23 (11.1%) |
34 (16.4%) |
57 (13.8%) |
|
> 5 |
184 (88.9%) |
173 (83.6%) |
357 (86.2%) |
|
|
head of the HH |
Father |
188 (90.8%) |
188 (90.8%) |
376 (90.8%) |
|
Mother |
14 (6.8%) |
15 (7.2%) |
29 (7%) |
|
|
Others |
5 (2.4%) |
4 (1.9%) |
9 (2.2%) |
|
|
Type of family |
Monogamy |
189 (91.3%) |
198 (95.7%) |
387 (93.5%) |
|
Polygamy |
18 (8.7%) |
9 (4.3%) |
27 (6.5%) |
|
|
Mothers educational status |
No formal education |
131 (63.3%) |
62 (30%) |
193 (46.6%) |
|
Formal education |
74 (35.7%) |
124 (59.9%) |
219 (52.9%) |
|
|
Diploma and above |
2 (1%) |
21 (10.1%) |
23 (5.5%) |
|
|
Father’s educational status |
No formal education |
86 (41.5%) |
44 (21.3%) |
130 (31.4%) |
|
Formal education |
108 (52.2%) |
115 (55.6%) |
223 (53.9%) |
|
|
Diploma and above |
13 (6.3%) |
48 (23.2%) |
61 (14.7) |
|
|
Mother’s main occupation |
Housewife |
177 (85.5%) |
94 (45.4%) |
271 (65.5%) |
|
Daily laborer |
8 (3.9%) |
15 (7.2%) |
23 (5.6%) |
|
|
Merchant |
15 (7.2%) |
70 (33.8%) |
85 (20.5%) |
|
|
Civil servant |
7 (3.4%) |
28 (13.5%) |
35 (8.4%) |
|
|
Father’s main occupation |
Farmer |
170 (82.1%) |
13 (6.3%) |
183 (44.2%) |
|
Daily laborer |
6 (2.9%) |
25 (12%) |
31 (7.5%) |
|
|
Merchant |
20 (9.7%) |
120 (58%) |
140 (33.8%) |
|
|
Civil servant |
11 (5.3%) |
49 (23.7%) |
60 (14.5%) |
|
|
Common source of food in household |
Own production |
136 (65.7%) |
14 (6.8%) |
150 (36.2%) |
|
Purchase |
10 (4.8%) |
70 (33.8%) |
80 (19.3%) |
|
|
Mixed |
61 (29.6%) |
123 (59.7%) |
184 (44.5%) |
|
|
Main staple food of the areas |
Maize |
79 (38.2%) |
11 (5.3%) |
90 (21.7%) |
|
Wheat |
25 (12.1%) |
47 (22.7%) |
72 (17.4%) |
|
|
Kocho |
45 (21.7%) |
2 (1%) |
47 (11.4%) |
|
|
Teff |
58 (28%) |
147 (71%) |
205 (49.5%) |
|
|
Wealth index |
Lower |
58 (28%) |
65 (31.4%) |
123 (29.7%) |
|
Middle |
87 (42%) |
73 (35.3%) |
160 (38.6%) |
|
|
Higher |
62 (30%) |
69 (33.3%) |
131 (31.6%) |
Dietary and food security related characteristics of ado¬lescent girls attending high schools
In adolescent’s girls attending the education in rural area 78 (37.7%) were food insecure while from urban areas 54 (26.1%) of the study participants reported that they were food insecure in the past three months during the survey time. This study shows that there was statistically significant difference in adolescent girl’s food security status between rural and urban areas (P = 0.011). The mean (SD) of dietary diversity score was 3.72±1.01and 4.63 ±1.16in rural and urban areas respectively. More than three fourth (79.7%) and less than half (43%) of the adolescent girls from rural and urban areas had no adequate dietary diversity per day during survey time respectively. There was statistically significant differ¬ence concerning dietary diversity among students in high schools of rural and urban settings (P = 0.001). Grains or other starchy foods are the commonest foods eaten by adolescent girls both in rural and urban areas.
The prevalence of thinness among adolescent girls at-tending high school
The overall prevalence of the thinness among female adolescents attending high schools in Soro district, Hadiya Zone was 6.8%. It was higher among students schooling in rural areas 18(8.7%) with 95% (CI: 5.3-12.6) than those in urban areas 10(4.8) 95% (CI: 1.9 – 8.2). However, there was no statistically significant difference in thinness among adolescent girls in rural and urban high schools.
Factors associated with thinness among adolescent girls attending high schools
Primarily bivariate binary logistic regression analysis was done between thinness and each explanatory variable to find factors associated with thinness. Accordingly, family type, Place of resi¬dence, household wealth tertile, visiting health facility, main sta¬ple food of participants , source of drinking water, adolescent food security, availability of home latrine, hand washing practice, histo¬ry of illness, meal frequency, skipping breakfast and individual di¬etary diversity were become a candidate variable for multivariable logistic model at P-value less than 0.25.
Multivariable logistic regression analysis was done to identify in¬dependent predictors of thinness, consequently household wealth tertile, source of drinking water, dietary diversity and skipping breakfast were found to be an independent factor associated with thinness.
Adolescent girls attending high schools were found around four times higher odds of being thin (AOR: 4.19; 95% C.I: 1.13-15.47) in the low wealth tertile households as compared to those from households with higher Wealth tertile. The odds of being thin were more than two times higher among adolescent girls who use drinking water from unimproved source than adolescent girls who use drinking water from improved source (AOR: 2.31; 95% C.I: 1.01-5.30). Similarly, adolescent girls who skip breakfast had around three times more odds of being thin than those students who did not skip breakfast (AOR: 2.97; C.I: 1.28-6.92). Finally, adolescent girls with inadequate dietary diversity were four times more likely to be thin than their counterparts who had adequate dietary diversity (AOR: 3.99; C.I: 1.15-13.82) (Table 2).
Table 2: Factors associated with thinness among adolescent girls attending high schools in rural and urban setups in Soro district, Hadiya Zone, Southern Ethiopia, 2019.
|
Variables |
Categories |
Thinness |
Crude OR 95% [C.I] |
Adjusted OR [95% C .I] |
|
|
Thin |
Normal |
||||
|
Wealth index |
Low |
14 (11.4%) |
109 (88.6%) |
5.48 (1.54-19.57)* |
4.19 (1.13-15.49)* |
|
Middle |
11 (6.9%) |
149 (93.1%) |
3.15 (0.86-11.54) |
3.09 (0.82-11.64) |
|
|
High |
3 (2.3%) |
128 (97.7%) |
1 |
1 |
|
|
Source of water |
Unprotected |
15 (13%) |
100 (87%) |
3.30 (1.52-7.18)* |
2.31 (1.01-5.30)* |
|
Protected |
13 (4.3%) |
286 (95.7%) |
1 |
1 |
|
|
Skipping breakfast |
yes |
15 (16.3%) |
77 (83.7%)) |
4.6 (2.12-10.14)* |
2.98 (1.28-6.92)* |
|
No |
13 (4%) |
309 (96%)) |
1 |
1 |
|
|
Dietary diversity |
inadequate |
12 (12.9%) |
81 (87.1%) |
2.52 (1.13-5.58)* |
3.99 (1.15-13.82)* |
|
Adequate |
16 (5%) |
305 (95%) |
1 |
1 |
|
Discussion
This study was aimed on studying the prevalence and factors as-sociated thinness among adolescent girls attending high schools in rural and urban soro district, Hadiya Zone, Southern Ethiopia. It was higher among students schooling in rural areas 18(8.7%) with 95% (CI: 5.3-12.6) than those in urban areas 10(4.8) 95% (CI: 1.9 – 8.2) even though there was no statistically significant difference. Household wealth tertile, source of drinking water, dietary diver¬sity and skipping breakfast were found to be independent factors associated with thinness among adolescent girls attending high school. The prevalence of thinness was higher in rural area (8.7%) than that of urban area (4.8%) even though it was not statistically significant. These might be the current study found that there was statistically significant difference between two settings in terms of educational and occupational status of parents, household chores, source of drinking water, adolescent food security status and di¬etary diversity. The finding was in line with other comparative studies reports in Northern Ethiopia, South-Western Ethiopian, In¬dia and Pakistan [11-14].
Adolescent girls attending high schools had found to be four times higher odds of being thin in the low households’ wealth tertile as compared to those from high households Wealth tertile. The finding was consistent with study conducted in Aksum town and Jimma zone, Ethiopia [15, 16]. This could reflect the fact that the higher the household wealth, it enables households to access dif-ferent foods and to get services that improve the nutritional status of adolescents. The current study revealed that the source of drink¬ing water among high school’s adolescent girls was independent factor of thinness. The odds of being thin were more than two times higher among adolescent girls who drink water from unim¬proved source as compared to adolescent girl’s drink water from improved source which agrees with study conducted in Adwa , northern Ethiopia [17]. This could be because of fact that the use of unimproved source of drinking water is vehicle for intestinal parasites and water borne diseases which leads to vicious cycles of undernutrition and disease. Besides, those adolescent girls who skip breakfast were more likely to be thin than their counterparts who did not skip their breakfast. It is in line with the study from Wolaita Sodo, Southern Ethiopia [18].
Adolescent girls being thin was four times more likely higher among high school adolescent girls who did not get adequately diversified food as compared to high school’s adolescent girls who get adequately diversified food. The finding agrees with studies which were conducted in different parts of Ethiopia like Adama city, Jimma Zone, south west Ethiopia, rural Tigray region and bale zone [19-23]. This might be due to the fact that increased demands of nutrients during adolescent period could lead to thin¬ness if dietary diversity is inadequate. This study has its own lim¬itations. The recall bias might be happened for assessing the type of foods eaten by adolescents to determine the dietary diversity among them. Obtaining the exact age of the students were chal¬lenging due to not knowing the birth date, however, every option were used to estimate the age of the eligible subjects for the study. Besides, the nature of the study, cross sectional has weakness of not determining the causation in the study.
Conclusion
The prevalence of the thinness among adolescent girls from ru-ral high schools was higher which is not going in line with the international recommendations on the nutritional status of adoles¬cents. Being low in household wealth tertile, unprotected source of drinking water, inadequate dietary diversity and skipping break¬fast were those factors identified to be independently associated with thinness among female adolescents. Attention should be given from government and nongovernmental organizations by empowering household economic capacity, extending access for pure drinking water and increasing nutrition sensitive agriculture focusing on maintaining food varieties. Creating awareness for adolescent girls not to skip their breakfast is one of the essential activities to be done. In the future, further studies shall be done to realize the real cause of the thinness among adolescents by using strong study designs.
What is already known on this topic?
• The prevalence of thinness among adolescent girls was 8.4% according to EDHS 2016 Ethiopia
• Thinness among adolescents is one of the challenging nutri-tional issues in lifecycle approach in Ethiopia and the area that does not get attention.
What this study adds?
• This identified the disparity between rural and urban adoles-cent girls attending the high schools in southern part of the Ethiopia.
• The study might fill the information gap depending on the nu-tritional status of the adolescent girls.
Declaration
Acknowledgment
We would like to thank data collectors, supervisors and respon- dents for their contribution. Availability of data and material The datasets are available from the corresponding author on rea-sonable request.
Authors’ contribution
DA conception and study design, DA Overall supervision of data collection, TT and DA Data analysis and interpretation, TT Man¬uscript preparation. Both authors approved final version of the manuscript.
Funding
This study was funded by Gombora district disaster Preparedness and Food Security office.
Competing interest
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethical clearance was obtained from the Jimma University, In-stitute of Health Ethical review board. The letter of cooperation was written for Sorro District’s selected high schools under soro district education office in order to proceed the study. The study was conducted based on voluntary participation by study subjects after explaining the purpose of study. Informed consent was ob¬tained from each participant before starting the interview without any obligation or persuading. Anyone had right to withdraw from interview at any time without any harm. No name of participant has been written and code was used and confidentiality of data was assured for participants.
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