# Goiter and Its Associated Factors among Adolescent High School Girls at Tach Armachiho District, Northwest Ethiopia: An Institution-Based Cross-Sectional Study

Authors: Belaynew Mesfin; Bisrat Misganaw; Melkamu Tamir Hunegnaw; Esmael Ali Muhammad
Journal: Journal of Nutrition and Metabolism
 (2020)

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## Abstract

Introduction. In Ethiopia, iodine deficiency disorder (IDD) is a major public health problem. The most visible effect of IDD is the appearance of goiters, and 28 million people are affected by goiter. Therefore, this study aimed to assess the prevalence and associated factors of goiter among high school adolescent girls at Tach Armachiho district, Northwest Ethiopia. Methods. An institution-based cross-sectional study was conducted from October to November 2018. A total of 620 high school adolescent girls were selected using the simple random sampling technique, and structured questionnaires having observational check-list were used for data collection. The presence of goiter was estimated using criteria set by World Health Organization. Iodine content of the salt was estimated by using spot testing kits. Both bivariable and multivariable logistic regressions were used to identify associated factors. The degree of association between independent and dependent variables was assessed by using odds ratio with 95% confidence interval. Those variables having p value of less than 0.05 in the multivariable analysis were considered as significant factors for goiter. Results. A total of 614 adolescent girls gave a complete response. The prevalence of goiter among adolescent girls was 24.1%. In the multivariable logistic regression analysis, age of adolescent girls (adjusted odds ratio (AOR) = 1.57, 95% CI: 1.01–2.46), residence (AOR = 1.91, 95% CI: 1.04–3.51), family history (AOR = 4.96, 95% CI: 3.19, 7.72), low dietary diversity (AOR = 8.39, 95% CI: 4.36–16.14), and medium dietary diversity (AOR = 2.26, 95% CI: 1.36–3.77) were significantly associated with adolescent girls goiter. Conclusions. Goiter among high school adolescent girls in this study was high. Age of adolescent, residence, family history of goiter, and dietary diversity were statistically significant factors for goiter. Therefore, more emphasis will be given for late adolescent age, having family history of goiter, low dietary diversity, and rural residence to improve the burden of adolescent goiter.


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## Body

## 1. Introduction

Goiter, which refers to an abnormal enlargement of the thyroid gland, is one of the most common endocrine problems for children and adolescents [1]. Each of the lateral lobes of the thyroid gland is larger than the terminal phalanges of the thumb of a person examined for goiter [2], reflecting a chronic iodine deficiency as a sensitive long-term indicator of the successes of iodine intervention programs [3]. Adolescents are young people aged between 10–19 years [4] who are known to have serious nutritional challenges because of intense physical, psychosocial, and cognitive developments and transition from childhood to adulthood [5]. Interventions during adolescence are used to break the vicious cycle of malnutrition.The consequences of iodine deficiency are goiter, hypothyroidism, physical and neurophysiologic defects, mental retardation, and brain damage [6]. The educational potential of a nation can be unattainable as iodine deficiency reduces the intelligence quotient (IQ) by 13.5 points due to an inadequate production of the thyroid hormone [7]. The problem is a threat to the productivity of the workforce and a cause of cretinism and mental retardation [8]. To prevent these problems, the Ethiopia government launched the iodized salt fortification, a monitoring and regulatory system in May 2011 [9]. Iodine deficiency is associated with a wide range of physical and mental disorders during the most critical period of development, like adolescent girls and the first trimester of gestation. Furthermore, 30% of all school-age children are mild to severely iodine-deficient, and the deficiency is more prevalent among adolescent girls [10, 11].Different studies show that the prevalence and associated factors of goiter among adolescent girls varies from country to country. For instance, in Africa, the burden of goiter ranges from 34.5% to 37% on an average; in Ethiopia, about 30% of the adolescent girls develop goiter [12]. The magnitude of goiter also varies from region to region in Ethiopia: in Southern Nations, Nationalities and Peoples region (SNNP) (56.2%), Oromia (42%), Benishangul Gummuz (40%), Amhara (29.1%), and Tigray (21.9%) [7]. The prevalence of goiter is also influenced by factors, such as sex [13], educational status and age [14–16], place of birth and family income [17], residence [18], consumption of iodized salt [17], knowledge, dietary intake, drinking unprotected water, eating goitrogenic foods, and family history [18].Although the Government of Ethiopia has increased its efforts to prevent goiter, its magnitude among adolescent girls is still high, and factors vary from place to place. Therefore, this study aimed to assess the magnitude of goiter and associated factors among adolescent girls in Tach Armachiho district.


## 2. Methods and Materials

### 2.1. Study Setting and Sample Size

An institution-based cross-sectional study was conducted from October to November 2018 among adolescent high school girls at Tach Armachiho district, Northwest Ethiopia, located 854 km from Addis Ababa, the capital of Ethiopia. The district has 38 kebeles (the smallest administrative units). Its altitude is 1050 to 1800 ms above sea level; 42% of its area is mountainous, with a temperature of 25–42 degree Celsius. According to the 2018 report, the district had four high schools with 1,972 adolescents. One district hospital and nine health centers provide health services.The single population proportion formula was used to determine the sample size by considering 37.6% previous prevalence of goiter [14], 95% confidence interval, 4% margin of error, and 10% none response rate, which yielded 620. The sample size was distributed proportionally to four high schools based on the number of students in each school. The simple random sampling technique was used to select study participants.


### 2.2. Inclusion and Exclusion Criteria

Adolescent girls who were learning in high school during data collection were included in the study, and adolescent girls who suffered from serious illness during the period of data collection were excluded from the study.


### 2.3. Assessment of Goiter and Salt Iodine Content

For the general data collection, eight nurses, two general practitioners, and two public health experts participated as supervisors, after they were given two-day training by the principal investigator. In order to maintain data quality, a pretest was administered on 5% of the sample in Tsegede district out of the study area. Onsite supervision was performed, and each copy of the questionnaire was checked for completeness and accuracy before data entry.Physical examination of a thyroid gland was performed by two skilled general practitioners (GPs), using WHO/ICCIDD/UNICEF clinical criteria. Accordingly, goiter was defined as grade 0 if no palpable mass in the neck was detected, grade 1 if there was a mass in the neck consistent with palpable enlarged thyroid, but not visible when the neck was in the normal position, whereas grade 2 if there was a swelling in the neck that was visible when the neck was in a normal position and is consistent with an enlarged thyroid when the neck is palpated (palpable and visible). Lastly, the child was deemed as having goiter when he/she had goiter of grade 1 or 2 [19].Iodine level of salt was determined by a rapid test kit (ARCHIV MANNAR no. 107397). The kit was used in houses of all participants; the interviewer asked households to provide a teaspoon of salt used for cooking and added two drops of test solution to determine the iodine content in the salt. It was filled in a small cup and spreaded flat, two drops of test solution were added on the surface of salt by piercing the white ampule, the color of salt was compared with a color chart within one minute, and the iodine concentration was determined (intense color). If no color change appeared on the salt after one minute, up to five drops of recheck solution were added in red ampule on a fresh sample, two drops of test solution were added on the same spot, and the color was compared with the color chart. The iodine content was determined, if it is 0 parts per million (no iodine), <15 ppm (light blue), ≥15 ppm (deep blue) [16, 20].


### 2.4. Assessment of Household Wealth Status

Household’s wealth index, adopted from EDHS 2011, was determined using principal component analysis (PCA) by considering the household assets, such as quantity of cereal products, type of house, livestock, and agricultural land ownership. First, variables were coded between 0 and 1 and then entered and analyzed using PCA. Those variables having a communality value of greater than 0.5 were used to produce factor scores. Finally, the factor scores were summed and ranked into tertiles as poor, medium, and rich [21].


### 2.5. Data Processing and Analysis

The collected data were entered by using Epi Info 7 and transferred to SPSS version 20 for further analysis. Data cleaning was performed to check for accuracy, consistency, and missed values. Frequencies, proportions, and summary statistics were used to describe the variables.The result was presented using tables, and statistical associations were assessed by using bivariable and multivariable logistic regressions to obtain crude and adjusted odds ratios with a 95% confidence interval. Variables with less than or equal to 0.2p values in the bivariable analysis were entered into the multivariable analysis to control the possible effects of confounders. Variables with p value <0.05 in the multivariable analysis were considered as statistically significant for adolescent goiter.


## 2.1. Study Setting and Sample Size

An institution-based cross-sectional study was conducted from October to November 2018 among adolescent high school girls at Tach Armachiho district, Northwest Ethiopia, located 854 km from Addis Ababa, the capital of Ethiopia. The district has 38 kebeles (the smallest administrative units). Its altitude is 1050 to 1800 ms above sea level; 42% of its area is mountainous, with a temperature of 25–42 degree Celsius. According to the 2018 report, the district had four high schools with 1,972 adolescents. One district hospital and nine health centers provide health services.The single population proportion formula was used to determine the sample size by considering 37.6% previous prevalence of goiter [14], 95% confidence interval, 4% margin of error, and 10% none response rate, which yielded 620. The sample size was distributed proportionally to four high schools based on the number of students in each school. The simple random sampling technique was used to select study participants.


## 2.2. Inclusion and Exclusion Criteria

Adolescent girls who were learning in high school during data collection were included in the study, and adolescent girls who suffered from serious illness during the period of data collection were excluded from the study.


## 2.3. Assessment of Goiter and Salt Iodine Content

For the general data collection, eight nurses, two general practitioners, and two public health experts participated as supervisors, after they were given two-day training by the principal investigator. In order to maintain data quality, a pretest was administered on 5% of the sample in Tsegede district out of the study area. Onsite supervision was performed, and each copy of the questionnaire was checked for completeness and accuracy before data entry.Physical examination of a thyroid gland was performed by two skilled general practitioners (GPs), using WHO/ICCIDD/UNICEF clinical criteria. Accordingly, goiter was defined as grade 0 if no palpable mass in the neck was detected, grade 1 if there was a mass in the neck consistent with palpable enlarged thyroid, but not visible when the neck was in the normal position, whereas grade 2 if there was a swelling in the neck that was visible when the neck was in a normal position and is consistent with an enlarged thyroid when the neck is palpated (palpable and visible). Lastly, the child was deemed as having goiter when he/she had goiter of grade 1 or 2 [19].Iodine level of salt was determined by a rapid test kit (ARCHIV MANNAR no. 107397). The kit was used in houses of all participants; the interviewer asked households to provide a teaspoon of salt used for cooking and added two drops of test solution to determine the iodine content in the salt. It was filled in a small cup and spreaded flat, two drops of test solution were added on the surface of salt by piercing the white ampule, the color of salt was compared with a color chart within one minute, and the iodine concentration was determined (intense color). If no color change appeared on the salt after one minute, up to five drops of recheck solution were added in red ampule on a fresh sample, two drops of test solution were added on the same spot, and the color was compared with the color chart. The iodine content was determined, if it is 0 parts per million (no iodine), <15 ppm (light blue), ≥15 ppm (deep blue) [16, 20].


## 2.4. Assessment of Household Wealth Status

Household’s wealth index, adopted from EDHS 2011, was determined using principal component analysis (PCA) by considering the household assets, such as quantity of cereal products, type of house, livestock, and agricultural land ownership. First, variables were coded between 0 and 1 and then entered and analyzed using PCA. Those variables having a communality value of greater than 0.5 were used to produce factor scores. Finally, the factor scores were summed and ranked into tertiles as poor, medium, and rich [21].


## 2.5. Data Processing and Analysis

The collected data were entered by using Epi Info 7 and transferred to SPSS version 20 for further analysis. Data cleaning was performed to check for accuracy, consistency, and missed values. Frequencies, proportions, and summary statistics were used to describe the variables.The result was presented using tables, and statistical associations were assessed by using bivariable and multivariable logistic regressions to obtain crude and adjusted odds ratios with a 95% confidence interval. Variables with less than or equal to 0.2p values in the bivariable analysis were entered into the multivariable analysis to control the possible effects of confounders. Variables with p value <0.05 in the multivariable analysis were considered as statistically significant for adolescent goiter.


## 3. Results

### 3.1. Sociodemographic and Environment-Related Characteristics

A total of 614 adolescent girls participated with a response rate of 99.03%. The mean age of the participants was 16.78 years with SD ± 1.66. A majority of the participants, 380 (61.9%), were in the age group of 16–19 years; 588 (95.8%) were Orthodox Christian; 290 (47.2%) were grade nine completed; 435 (70.8%) were rural dwellers, and 214 (34.9%) had low economic status; 510 (83.1%) of the fathers were farmers; 517 (84.2%) of the mothers/care givers were housewives, and 466 (75.9%) were unable to read and write (Table1).Table 1
Sociodemographic and environmental-related characteristics of adolescent girls in Tach Armachiho district, 2018 (N = 614).
VariableCategoryFrequencyPercentageAge10–1523438.0116–1938061.90ReligionOrthodox58895.8Catholic30.5Muslim233.7Grade levelGrade 929047.2Grade 1014323.3Grade 1110116.4Grade 128013.0ResidenceUrban17929.2Rural43570.8Fathers occupationGovernment employee477.7Farmer51083.1Daily labor122.0Merchant457.3Mothers occupationGovernment employee101.6Farmer51784.2Daily labor50.8Merchants355.7Nongovernment employee477.7Maternal educationIlliterate46675.9Informal education9515.5Primary school (1–8) grade345.5Secondary school and above193.1Family size<536759.8>524740.2Wealth statusPoor21434.9Medium21134.4Rich18930.8Source of drinking waterTap water25241.0Public tap15324.9Protected well17728.8Unprotected well325.2Practice water safe to drinkBoiled7812.7Wuhagar/chlorine added45774.4Strained through cloth71.1Sunlight with bottle386.2Others∗∗345.5Community gardeningYes27745.1No33754.9Community gardening (n = 277)Selling all3914.1Selling some of13247.7All used by the family9233.2Others145.1∗∗Add sand and settle and sediment the dirty pieces.


### 3.2. Utilization of Iodized Salt and Dietary Practice-Related Characteristics

In this study, 448 (73%) households used adequate iodized salt (≥15 ppm). Of the participants, 580 (84.4%) used iodized salt during food preparation, 259 (50%) added it at the end of cooking, and 422 (68.7%) households stored salt without exposing it to direct sunlight. One hundred and sixty (26%) of the participants had a family history of goiter, and 448 (71.3%) had adequate dietary diversity score in the last 24 hours (Table2).Table 2
Utilization of iodized salt and dietary practice-related characteristics of adolescent girls in Tach Armachiho district, Northwest Ethiopia, 2018 (N = 614).
VariableCategoryFrequencyPercentageUse iodized salt during cooking “wott”Yes51884.4No9615.6Salt added during cooking (n = 518)Early10620.5Middle of cooking8817End of cooking25950After cooking6512.5Salt storage in the houseBy opened parcel7712.5By closed parcel53787.5Salt exposure to sunlightYes19231.3No42268.7Storage of salt relation to fireNear to fire22436.5Away from fire39063.5Current salt iodine level“0” PPM365.91–15 PPM9615.6>15 PPM44873No salt got in house345.5Family history of goiterYes16126.2No45373.8Get treatment (n = 90)Traditional healthier3741.1Health institution5358.9Dietary diversity score (DDS)Poor569.1Moderate12019.5Good43871.3


### 3.3. Prevalence of Goiter

The overall prevalence of goiter among adolescent girls was 24.1% (CI: 95%, 20.6–27.5); 13.2% and 10.9% of the goiters were grade 1 and grade 2, respectively.


### 3.4. Factors Associated with Goiter

The result of the multivariable analysis revealed that age, residence, family history of goiter, and DDS were significantly associated with goiter. Accordingly, the odds of goiter were 1.57 times more likely among late than early adolescent girls (AOR: 1.57; 95% CI: 1.01, 2.46). Likewise, the odds of getting goiter were 2 times higher among participants who lived in rural areas than in urban settings (AOR: 1.91; 95% CI: 1.04, 3.51). Adolescent girls who had a family history of goiter were more likely to develop the problem than their counterparts (AOR: 4.96; 95% CI: 3.19, 7.72). Similarly, higher odds of goiter were noted among adolescent girls who consumed inadequately diversified diets than their counterparts (AOR: 8.39; 95% CI: 4.36, 16.14) (Table3).Table 3
Factors associated with goiter among adolescent girls in Tach Armachiho district, Northwest Ethiopia, 2018.
VariableCategoryGoiterCOR (95% CI)AOR (95% CI)YesNoAge10–15451891116–191032771.56 (1.05, 2.32)1.57 (1.01, 2.46)∗Maternal educationIlliterate1083580.42 (0.16, 1.06)0.31 (0.10, 0.96)Informal education22730.41 (0.15, 1.16)0.37 (0.11, 1.26)Primary school10240.57 (0.18, 1.9)0.51 (0.13, 1.98)Secondary and above81111Source of drinking waterTap water5419811Public tap401131.29 (0.81, 2.08)0.99 (0.53, 1.85)Protected wall421351.14 (0.72, 1.80)0.69 (0.38, 1.28)Unprotected wall12202.20 (1.01, 4.78)1.18 (0.45, 3.12)Family size<57928811>5691781.41 (0.97, 2.05)1.11 (0.72, 1.70)ResidenceRural1173181.76 (1.13, 2.73)1.91 (1.04, 3.51)∗Urban3114811Family historyNo family history7138211Had family history77844.93 (3.31, 7.36)4.96 (3.19, 7.72)∗Salt storageOpen parcel24531.5 (0.89, 2.54)1.19 (0.65, 2.16)Close parcel12441311Salt exposure to sun lightYes561361.48 (1.0, 2.2)1.33 (0.83, 2.14)No9233011Salt storage siteNear to fire651591.51 (1.04, 2.20)1.52 (0.97, 2.38)Away from fire8330711Dietary diversity (DDS)Poor33236.73 (3.74, 12.09)8.39 (4.36, 16.14)∗Medium38822.17 (1.38, 3.43)2.26 (1.36, 3.77)∗Good7736111∗Significant at p value less than 0.05.


## 3.1. Sociodemographic and Environment-Related Characteristics

A total of 614 adolescent girls participated with a response rate of 99.03%. The mean age of the participants was 16.78 years with SD ± 1.66. A majority of the participants, 380 (61.9%), were in the age group of 16–19 years; 588 (95.8%) were Orthodox Christian; 290 (47.2%) were grade nine completed; 435 (70.8%) were rural dwellers, and 214 (34.9%) had low economic status; 510 (83.1%) of the fathers were farmers; 517 (84.2%) of the mothers/care givers were housewives, and 466 (75.9%) were unable to read and write (Table1).Table 1
Sociodemographic and environmental-related characteristics of adolescent girls in Tach Armachiho district, 2018 (N = 614).
VariableCategoryFrequencyPercentageAge10–1523438.0116–1938061.90ReligionOrthodox58895.8Catholic30.5Muslim233.7Grade levelGrade 929047.2Grade 1014323.3Grade 1110116.4Grade 128013.0ResidenceUrban17929.2Rural43570.8Fathers occupationGovernment employee477.7Farmer51083.1Daily labor122.0Merchant457.3Mothers occupationGovernment employee101.6Farmer51784.2Daily labor50.8Merchants355.7Nongovernment employee477.7Maternal educationIlliterate46675.9Informal education9515.5Primary school (1–8) grade345.5Secondary school and above193.1Family size<536759.8>524740.2Wealth statusPoor21434.9Medium21134.4Rich18930.8Source of drinking waterTap water25241.0Public tap15324.9Protected well17728.8Unprotected well325.2Practice water safe to drinkBoiled7812.7Wuhagar/chlorine added45774.4Strained through cloth71.1Sunlight with bottle386.2Others∗∗345.5Community gardeningYes27745.1No33754.9Community gardening (n = 277)Selling all3914.1Selling some of13247.7All used by the family9233.2Others145.1∗∗Add sand and settle and sediment the dirty pieces.


## 3.2. Utilization of Iodized Salt and Dietary Practice-Related Characteristics

In this study, 448 (73%) households used adequate iodized salt (≥15 ppm). Of the participants, 580 (84.4%) used iodized salt during food preparation, 259 (50%) added it at the end of cooking, and 422 (68.7%) households stored salt without exposing it to direct sunlight. One hundred and sixty (26%) of the participants had a family history of goiter, and 448 (71.3%) had adequate dietary diversity score in the last 24 hours (Table2).Table 2
Utilization of iodized salt and dietary practice-related characteristics of adolescent girls in Tach Armachiho district, Northwest Ethiopia, 2018 (N = 614).
VariableCategoryFrequencyPercentageUse iodized salt during cooking “wott”Yes51884.4No9615.6Salt added during cooking (n = 518)Early10620.5Middle of cooking8817End of cooking25950After cooking6512.5Salt storage in the houseBy opened parcel7712.5By closed parcel53787.5Salt exposure to sunlightYes19231.3No42268.7Storage of salt relation to fireNear to fire22436.5Away from fire39063.5Current salt iodine level“0” PPM365.91–15 PPM9615.6>15 PPM44873No salt got in house345.5Family history of goiterYes16126.2No45373.8Get treatment (n = 90)Traditional healthier3741.1Health institution5358.9Dietary diversity score (DDS)Poor569.1Moderate12019.5Good43871.3


## 3.3. Prevalence of Goiter

The overall prevalence of goiter among adolescent girls was 24.1% (CI: 95%, 20.6–27.5); 13.2% and 10.9% of the goiters were grade 1 and grade 2, respectively.


## 3.4. Factors Associated with Goiter

The result of the multivariable analysis revealed that age, residence, family history of goiter, and DDS were significantly associated with goiter. Accordingly, the odds of goiter were 1.57 times more likely among late than early adolescent girls (AOR: 1.57; 95% CI: 1.01, 2.46). Likewise, the odds of getting goiter were 2 times higher among participants who lived in rural areas than in urban settings (AOR: 1.91; 95% CI: 1.04, 3.51). Adolescent girls who had a family history of goiter were more likely to develop the problem than their counterparts (AOR: 4.96; 95% CI: 3.19, 7.72). Similarly, higher odds of goiter were noted among adolescent girls who consumed inadequately diversified diets than their counterparts (AOR: 8.39; 95% CI: 4.36, 16.14) (Table3).Table 3
Factors associated with goiter among adolescent girls in Tach Armachiho district, Northwest Ethiopia, 2018.
VariableCategoryGoiterCOR (95% CI)AOR (95% CI)YesNoAge10–15451891116–191032771.56 (1.05, 2.32)1.57 (1.01, 2.46)∗Maternal educationIlliterate1083580.42 (0.16, 1.06)0.31 (0.10, 0.96)Informal education22730.41 (0.15, 1.16)0.37 (0.11, 1.26)Primary school10240.57 (0.18, 1.9)0.51 (0.13, 1.98)Secondary and above81111Source of drinking waterTap water5419811Public tap401131.29 (0.81, 2.08)0.99 (0.53, 1.85)Protected wall421351.14 (0.72, 1.80)0.69 (0.38, 1.28)Unprotected wall12202.20 (1.01, 4.78)1.18 (0.45, 3.12)Family size<57928811>5691781.41 (0.97, 2.05)1.11 (0.72, 1.70)ResidenceRural1173181.76 (1.13, 2.73)1.91 (1.04, 3.51)∗Urban3114811Family historyNo family history7138211Had family history77844.93 (3.31, 7.36)4.96 (3.19, 7.72)∗Salt storageOpen parcel24531.5 (0.89, 2.54)1.19 (0.65, 2.16)Close parcel12441311Salt exposure to sun lightYes561361.48 (1.0, 2.2)1.33 (0.83, 2.14)No9233011Salt storage siteNear to fire651591.51 (1.04, 2.20)1.52 (0.97, 2.38)Away from fire8330711Dietary diversity (DDS)Poor33236.73 (3.74, 12.09)8.39 (4.36, 16.14)∗Medium38822.17 (1.38, 3.43)2.26 (1.36, 3.77)∗Good7736111∗Significant at p value less than 0.05.


## 4. Discussion

The prevalence of goiter among adolescent girls school at 24.1% (20.0–29.9%) posed a moderate public health challenge to the study area [22]. This finding was lower than those of studies done in two zones of Ethiopia, such as Metekel (39.4%) [23] and Wolaita (60.9%) [18], Bangladesh (44%) [13] and Rawalpindi, and Pakistan (57.1%) [24]. The possible justification for this disparity might be variations in topography and dietary habits; for instance, in Wolaita, Ethiopia, the community had a dietary history of frequent and high (81.3%) consumption of cassava and poor utilization of iodized salt. In addition, the variations might be due to differences in study settings and periods. However, the result of our study was higher than those studies done in Charsadda, Pakistan (11.5%) [25], and Uttarakhand, India (15.9%) [26]. This difference might be due to variations in the topographies of the study areas. This study was done in a mountainous (high altitude) area that resulted in poor soil conservation over a long period of time and contributed to leaching away of the iodine-rich soil layer, exposing the iodine-poor layer beneath.Late adolescent (16–19 years) girls were more likely to be affected by goiter than early age groups. This finding was consistent with the results of studies done in Hawassa, Goba, and Robe, Ethiopia [14, 15, 17], respectively. This might be due to the fact that iodine requirement increases with age, and older children had prolonged exposure to iodine-deficient environment. Besides, thyroid size correlates with body surface area and increases with age, making an enlarged thyroid more visible and palpable in the age of adolescents [18, 23].In our study, rural dweller adolescent girls were more likely to have goiter compared with urban residents. The result was consistent with the findings of Gamogofa [27] and Lay Armachiho zones, Ethiopia [28]. The possible reason might be difference in knowledge about the causes and preventions of goiter and inadequate diversified food. It could also be due to variations in iodized salt storage area that affects the content of iodine because of its volatile nature, and the commonly stable maize and millet diet of the rural community has poor iodine content.Adolescent girls who had a family history of goiter were more likely to develop goiter than their counterparts. This finding was supported by the result obtained in Lay Armachiho and Gamogofa, Ethiopia [28, 29], Brazil [30], and Germany [31]. The possible reason might be that family clustering of goiter has been common historically, and a complex “multifactorial” interactions of genetic and shared environmental factors lead to higher rates of goiter among people [32].Dietary diversity of adolescent girls was significantly associated with goiter. Poor DDS among adolescent girls was almost 8 times more likely to develop goiter compared to adolescent girls without the problem. The result was supported by studies done in the Amhara regional state, Adama city and Bale, Ethiopia [33–35], respectively. The possible justification for this could be that when adolescent girls have no access to diversified foods, the probability of getting iodine is low. One of the iodine deficiency disorder strategies is adequate dietary intake. Communities with cereal-based monotonous dietary habits suffer from iodine and other micronutrient deficiencies, such as vitamin A and iron [21].


## 5. Conclusion

The overall prevalence of goiter among adolescent girls was a moderate public health problem. Age, residence, family history, and DDS were significantly associated with goiter. Therefore, due emphases should be given to late adolescents by counseling about diversified diets and the causes and prevention of goiter.



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*Source: 3695952-2020-10-23.xml*