# Intestinal Parasite Infection and Its Association with Undernutrition among Early Adolescents in Hawassa University Technology Village, Southern Ethiopia

Authors: Amelo Bolka Gujo; Assefa Philipos Kare; Shambel Gussa Shuramo
Journal: Advances in Public Health
 (2021)

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## Abstract

Background. Different studies presented negating findings of the association between intestinal parasite infections (IPIs) and undernutrition among early adolescents in Ethiopia. This study was aimed at assessing intestinal parasite infection and its association with undernutrition among early adolescents in four selected districts of the Sidama region. Method. An institution-based cross-sectional study was conducted in October 2020 among 792 early adolescents. The multistage stage sampling was applied to select 16 primary schools. Simple random sampling was applied to select study participants. Trained data collectors administered questionnaires. Stool samples were collected and analyzed. Anthropometric measurements were taken and indices were calculated using AnthroPlus software. Data were entered into and analyzed by SPSS version 25 software. Association between IPI and undernutrition was measured using multivariable analysis. The outputs are presented using an adjusted odds ratio (AOR) with 95% confidence intervals (CIs). Result. The prevalence of IPI, thinness, and stunting was 32% (95% CI: 28.7%, 35.3%), 17.5% (95% CI: 14.8%, 20.2%), and 21.5% (95 CI: 18.6%, 24.4%), respectively. The higher odds of IPIs were observed among adolescents stunted (AOR = 3.61; 95% CI: 2.44–5.33), those who are thin (AOR = 3.07; 95% CI: 2.02–4.66), those who did not wash their hands after toilet (AOR = 1.89; 95% CI: 1.35–2.66), those who ate raw meat (AOR = 1.50; 95% CI: 1.03–2.14), and those whose family did not own toilet (AOR = 1.71; 95% CI: 1.18–2.46). Conclusion. The prevalence of IPI, thinness, and stunting was high and has public health significance in the study area. IPIs were associated with stunting, thinness, lack of toilets, not washing hands after a toilet visit, and eating raw meat. Strengthening nutrition interventions, deworming programs, and health education on personal and environmental hygiene and sanitation are recommended.


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## Body

## 1. Introduction

Our world is a house of 1.2 billion adolescent population of which 90% live in low- and middle-income countries [1]. The adolescent is defined as a person aged 10–19 years, which is a period of gradual transition from childhood to adulthood. Early adolescence is the first stage and occurs from ages 10 to 14 years [2]. The adolescence period is a critical period of physical growth and development. It is a period of 15–20% of adult height, up to 60% of skeletal mass, and 50% of adult body weight development [3]. It is the second window of opportunity in terms of nutritional status [4]. It is a time of increased nutritional needs, and lifelong health and nutrition behaviors are formed [5].Parasitic infections caused by intestinal helminths and protozoans are among the most prevalent infections in the globe, carrying a high burden of morbidity and mortality [6]. Globally, 2 billion people, majorly children, were infected by soil-transmitted helminths (STHs) and schistosomiasis, of whom more than 300 million suffer from associated severe morbidity [7]. About 550 million primary school adolescents live in areas where these parasites are extensively transmitted. STHs are widely distributed all over the world with the greatest numbers occurring in Sub-Saharan Africa [7].People living in the least developed countries are most vulnerable to intestinal parasitic infections mainly due to poverty and malnutrition [4]. In the case of Sub-Saharan Africa, almost half of the primary school early adolescents were infected with one or more intestinal parasitic worms [8]. Different studies conducted in Ethiopia showed that intestinal parasitic infections were higher among school-age children and early adolescents due to their habits of playing or the handling of infested soil, eating with soiled hands, unhygienic toilet practices, drinking, and eating of contaminated water and foods [9–11].The Federal Ministry of Health of Ethiopia started the health extension program in 2004 and trained and assigned extension workers at almost every village in rural as well as urban areas to create awareness of prevention methods of intestinal parasites and other infections [12]. Despite eﬀorts, due to climatic conditions, poverty, poor personal hygiene, poor environmental sanitation, and lack of safe and clean water, IPIs have been a major health burden of the country, especially in primary school early adolescents [13]. There is also variation in the prevalence rate of IPI in rural and urban areas. The poorest people living in rural areas and in urban slums are the most affected by IPIs [14].Intestinal helminths and protozoan infections impact host nutrition through a number of mechanisms that may have additive or multiplicative impacts, especially in school children and early adolescents. It causes and/or aggravates undernutrition through worm-induced gastrointestinal tract pathophysiology and food intake, chronic blood loss, and intestinal inflammation, which disturb the absorption of nutrients from the gut [15].In early adolescents, undernutrition caused by helminth infections/low food intake has been a major public health problem but largely ignored as a target of public health and nutrition programs [16]. In addition to IPIs, in Ethiopia, the inequity between male and female adolescents (due to cultural influence, females are nutritionally vulnerable consuming less nutrients than their fair share relative to males) increased the risk for poor nutrition and health in girls [17]. The actual number of stunted and underweight adolescents has risen in Ethiopia due to rapid population growth [18].Childhood undernutrition may reduce early adolescent immune function, impairing the body’s resistance to infectious diseases and increasing the risk of school absenteeism and drop-out rates [19]. Its long-term consequences are associated with impaired cognitive development and poor school achievement, growth retardation, reduced economic productivity, and poor reproductive health outcomes in females. It also increases the risk for nutrition-related chronic diseases in adulthood age [20].Several studies conducted in Ethiopia assessed the prevalence of IPIs in adolescents but failed to associate with undernutrition [11, 21–26]. There is also limited evidence about the magnitude of undernutrition among early adolescents in the study area. Therefore, this study was carried out to identify the recent burden of intestinal parasitic infection and its association with undernutrition among primary school, early adolescents in selected districts of Hawassa University Technology Village in Sidama National Regional State.


## 2. Methods

### 2.1. The Study Area

This study was conducted in 16 primary schools found in four randomly selected districts out of seven districts located in Hawassa University Technology Village, Sidama National Regional State. Boricha, Loka Abaya, Daara, and Bona were selected districts located at 311 km, 342 km, 260 km, and 385 km south of Addis Ababa, respectively, the capital of Ethiopia. The selected districts have 192 primary schools and 233,228 primary school children. The physical health service coverage of the village was 100%. The village has two general and two primary level hospitals. Agriculture is the main source of income on the site. More than 85% of the inhabitants of the village’s livelihood depend on farming. Major crops grown in the village include Enset (false banana), cereals, cash crops (khat and coﬀee), and livestock.


#### 2.1.1. Source Population

The source population of the study was all (10–14 years) early adolescents enrolled in primary schools of the selected districts.


#### 2.1.2. Study Population

The study population was all selected early adolescents registered for the academic year of 2020, in sixteen primary schools of the selected districts.


#### 2.1.3. Study Design

A facility-based analytical cross-sectional study was carried out in the Hawassa University Technology Village in October 2020.


#### 2.1.4. Inclusion Criteria

All healthy early adolescents aged 10–14 years who had parental consent to participate in research from the selected primary schools were included.


#### 2.1.5. Exclusion Criteria

All students who had a known history of deworming tablet consumption in the previous six months/IP infection, were seriously ill, and were physically disabled were excluded from the study.


#### 2.1.6. Sample Size Calculation

The sample sizes for each specific objective were calculated using a single population proportion formula taking the assumptions of 5% margin of error and 95% confidence level. From previous studies, the prevalence of 20.7% for stunting [9], 27.5% for thinness [9], and 62.4% for IPI [26] were used. Using the design effect of two and 10% of nonresponse rate, sample sizes of 556, 674, and 792 were calculated for the prevalence of stunting, thinness, and IP infection, respectively. A sample size of 792 obtained from the IP infection was used because it was the largest sample size estimated and would be suﬃcient for the study.


#### 2.1.7. Sampling Procedure

The multistage stage sampling was applied to select 16 primary schools located in Hawassa University Technology Village, Sidama National Regional State. At the first stage, four districts were randomly selected out of seven. In the second stage, four primary schools were also randomly selected from each selected district. Simple random sampling was applied to select 792 study participants. The calculated sample size was proportionally allocated to each school according to the number of students.


#### 2.1.8. Data Collection Process and Quality Assurance

A structured and interviewer-administered questionnaire was used. The questionnaire was adapted from different related works of the literature [14, 27, 28]. It was first prepared in English and translated into Sidaamu Afoo (local language) and back-translated to the English language by language experts for data collection. Before the data collection, five percent of the sample size was pretested to check clarity and local understanding of the points included in the data collection tool. Eight degree holder nurses and four laboratory technologists for data collection and four public health experts for supervision were recruited and trained for 3 days before the data collection. The data were collected by developing three teams; each team had three data collectors and a supervisor. The principal investigators were also involved in the field supervision to ensure the overall quality of the data.


### 2.2. Weight

Early adolescents were weighed using Seca digital scales which were validated against standard weights before taking the actual measurements. The scales were placed on a hard, flat surface. Early adolescents wearing only lightweight clothing, excluding shoes, belts, socks, watches, jackets, and heavy items from the pocket, were weighted. Measurement was taken twice, and an average of the two was used for analysis. Based on the 2007 World Health Organization standard reference values, the body mass index for ages below <2 Z-score was defined as thin [28].


### 2.3. Height

The measurement of height was done on a vertical wall with an attached measuring tape and a horizontal headboard that could be brought into contact with the uppermost point on the head. The moveable headboard was brought on to the topmost point on the head with sufficient pressure to compress the hairs. The height is measured in meters and recorded to the nearest 0.1 cm. The height was measured barefoot or in thin socks. Measurement was taken twice, and an average of the two was used for analysis. Based on the 2007 WHO standard reference values, height for age Z-score below <2 Z-score was defined as stunted [28].


### 2.4. Stool Examination

After informing how to bring the stool specimen a clean, stool specimen container was given with an applicator stick to each study participant. At the time of collection, the date of sampling, school name, the name of the participant, age, and sex were recorded for each subject in a recording format. About 2 g of stool specimens was collected from each student and mixed with 10% formalin for preservation. The preserved fecal specimens had been transported to the laboratory of the Leku hospital. All specimens were processed by using formal ether fecal concentration techniques as indicated in the WHO standard operating procedures for the parasitological examination of feces [29]. The direct microscopy method was applied to identify intestinal parasites.A senior laboratory technician of the hospital reprocessed 10% of randomly selected fecal samples, and the results were compared with the results made by the original laboratory technician.


#### 2.4.1. Data Management and Analysis

Data were cleaned, coded, and entered into, and analyzed by SPSS version 25 software. The AnthroPlus software was used to calculate anthropometric indices. Binary logistic regression was employed to determine the odds ratio for bivariable analysis. Candidate variables withP≤0.2 were selected for multivariable logistic regression analysis. The outputs are presented using an adjusted odds ratio with 95% confidence intervals. Statistical significance was declared at P≤0.05.


#### 2.4.2. Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board (IRB) of College of Medicine and Health Science, Hawassa University (Ref. No: IRB/216/13; Date 17/9/2020). A formal letter was written from the School of Nutrition, Food Science and Technology to selected districts’ education offices. Concerned officials were informed about the purpose of the study, and a permission letter was taken. Data were collected after taking informed consent from the parents/caretakers. Study participants were told the laboratory analysis and physical examination results. Personal hygiene/sanitation and nutrition counseling was provided. Positive cases for IPIs and undernourished were consulted and linked to local health centers and hospitals for the treatment.


## 2.1. The Study Area

This study was conducted in 16 primary schools found in four randomly selected districts out of seven districts located in Hawassa University Technology Village, Sidama National Regional State. Boricha, Loka Abaya, Daara, and Bona were selected districts located at 311 km, 342 km, 260 km, and 385 km south of Addis Ababa, respectively, the capital of Ethiopia. The selected districts have 192 primary schools and 233,228 primary school children. The physical health service coverage of the village was 100%. The village has two general and two primary level hospitals. Agriculture is the main source of income on the site. More than 85% of the inhabitants of the village’s livelihood depend on farming. Major crops grown in the village include Enset (false banana), cereals, cash crops (khat and coﬀee), and livestock.


### 2.1.1. Source Population

The source population of the study was all (10–14 years) early adolescents enrolled in primary schools of the selected districts.


### 2.1.2. Study Population

The study population was all selected early adolescents registered for the academic year of 2020, in sixteen primary schools of the selected districts.


### 2.1.3. Study Design

A facility-based analytical cross-sectional study was carried out in the Hawassa University Technology Village in October 2020.


### 2.1.4. Inclusion Criteria

All healthy early adolescents aged 10–14 years who had parental consent to participate in research from the selected primary schools were included.


### 2.1.5. Exclusion Criteria

All students who had a known history of deworming tablet consumption in the previous six months/IP infection, were seriously ill, and were physically disabled were excluded from the study.


### 2.1.6. Sample Size Calculation

The sample sizes for each specific objective were calculated using a single population proportion formula taking the assumptions of 5% margin of error and 95% confidence level. From previous studies, the prevalence of 20.7% for stunting [9], 27.5% for thinness [9], and 62.4% for IPI [26] were used. Using the design effect of two and 10% of nonresponse rate, sample sizes of 556, 674, and 792 were calculated for the prevalence of stunting, thinness, and IP infection, respectively. A sample size of 792 obtained from the IP infection was used because it was the largest sample size estimated and would be suﬃcient for the study.


### 2.1.7. Sampling Procedure

The multistage stage sampling was applied to select 16 primary schools located in Hawassa University Technology Village, Sidama National Regional State. At the first stage, four districts were randomly selected out of seven. In the second stage, four primary schools were also randomly selected from each selected district. Simple random sampling was applied to select 792 study participants. The calculated sample size was proportionally allocated to each school according to the number of students.


### 2.1.8. Data Collection Process and Quality Assurance

A structured and interviewer-administered questionnaire was used. The questionnaire was adapted from different related works of the literature [14, 27, 28]. It was first prepared in English and translated into Sidaamu Afoo (local language) and back-translated to the English language by language experts for data collection. Before the data collection, five percent of the sample size was pretested to check clarity and local understanding of the points included in the data collection tool. Eight degree holder nurses and four laboratory technologists for data collection and four public health experts for supervision were recruited and trained for 3 days before the data collection. The data were collected by developing three teams; each team had three data collectors and a supervisor. The principal investigators were also involved in the field supervision to ensure the overall quality of the data.


## 2.1.1. Source Population

The source population of the study was all (10–14 years) early adolescents enrolled in primary schools of the selected districts.


## 2.1.2. Study Population

The study population was all selected early adolescents registered for the academic year of 2020, in sixteen primary schools of the selected districts.


## 2.1.3. Study Design

A facility-based analytical cross-sectional study was carried out in the Hawassa University Technology Village in October 2020.


## 2.1.4. Inclusion Criteria

All healthy early adolescents aged 10–14 years who had parental consent to participate in research from the selected primary schools were included.


## 2.1.5. Exclusion Criteria

All students who had a known history of deworming tablet consumption in the previous six months/IP infection, were seriously ill, and were physically disabled were excluded from the study.


## 2.1.6. Sample Size Calculation

The sample sizes for each specific objective were calculated using a single population proportion formula taking the assumptions of 5% margin of error and 95% confidence level. From previous studies, the prevalence of 20.7% for stunting [9], 27.5% for thinness [9], and 62.4% for IPI [26] were used. Using the design effect of two and 10% of nonresponse rate, sample sizes of 556, 674, and 792 were calculated for the prevalence of stunting, thinness, and IP infection, respectively. A sample size of 792 obtained from the IP infection was used because it was the largest sample size estimated and would be suﬃcient for the study.


## 2.1.7. Sampling Procedure

The multistage stage sampling was applied to select 16 primary schools located in Hawassa University Technology Village, Sidama National Regional State. At the first stage, four districts were randomly selected out of seven. In the second stage, four primary schools were also randomly selected from each selected district. Simple random sampling was applied to select 792 study participants. The calculated sample size was proportionally allocated to each school according to the number of students.


## 2.1.8. Data Collection Process and Quality Assurance

A structured and interviewer-administered questionnaire was used. The questionnaire was adapted from different related works of the literature [14, 27, 28]. It was first prepared in English and translated into Sidaamu Afoo (local language) and back-translated to the English language by language experts for data collection. Before the data collection, five percent of the sample size was pretested to check clarity and local understanding of the points included in the data collection tool. Eight degree holder nurses and four laboratory technologists for data collection and four public health experts for supervision were recruited and trained for 3 days before the data collection. The data were collected by developing three teams; each team had three data collectors and a supervisor. The principal investigators were also involved in the field supervision to ensure the overall quality of the data.


## 2.2. Weight

Early adolescents were weighed using Seca digital scales which were validated against standard weights before taking the actual measurements. The scales were placed on a hard, flat surface. Early adolescents wearing only lightweight clothing, excluding shoes, belts, socks, watches, jackets, and heavy items from the pocket, were weighted. Measurement was taken twice, and an average of the two was used for analysis. Based on the 2007 World Health Organization standard reference values, the body mass index for ages below <2 Z-score was defined as thin [28].


## 2.3. Height

The measurement of height was done on a vertical wall with an attached measuring tape and a horizontal headboard that could be brought into contact with the uppermost point on the head. The moveable headboard was brought on to the topmost point on the head with sufficient pressure to compress the hairs. The height is measured in meters and recorded to the nearest 0.1 cm. The height was measured barefoot or in thin socks. Measurement was taken twice, and an average of the two was used for analysis. Based on the 2007 WHO standard reference values, height for age Z-score below <2 Z-score was defined as stunted [28].


## 2.4. Stool Examination

After informing how to bring the stool specimen a clean, stool specimen container was given with an applicator stick to each study participant. At the time of collection, the date of sampling, school name, the name of the participant, age, and sex were recorded for each subject in a recording format. About 2 g of stool specimens was collected from each student and mixed with 10% formalin for preservation. The preserved fecal specimens had been transported to the laboratory of the Leku hospital. All specimens were processed by using formal ether fecal concentration techniques as indicated in the WHO standard operating procedures for the parasitological examination of feces [29]. The direct microscopy method was applied to identify intestinal parasites.A senior laboratory technician of the hospital reprocessed 10% of randomly selected fecal samples, and the results were compared with the results made by the original laboratory technician.


### 2.4.1. Data Management and Analysis

Data were cleaned, coded, and entered into, and analyzed by SPSS version 25 software. The AnthroPlus software was used to calculate anthropometric indices. Binary logistic regression was employed to determine the odds ratio for bivariable analysis. Candidate variables withP≤0.2 were selected for multivariable logistic regression analysis. The outputs are presented using an adjusted odds ratio with 95% confidence intervals. Statistical significance was declared at P≤0.05.


### 2.4.2. Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board (IRB) of College of Medicine and Health Science, Hawassa University (Ref. No: IRB/216/13; Date 17/9/2020). A formal letter was written from the School of Nutrition, Food Science and Technology to selected districts’ education offices. Concerned officials were informed about the purpose of the study, and a permission letter was taken. Data were collected after taking informed consent from the parents/caretakers. Study participants were told the laboratory analysis and physical examination results. Personal hygiene/sanitation and nutrition counseling was provided. Positive cases for IPIs and undernourished were consulted and linked to local health centers and hospitals for the treatment.


## 2.4.1. Data Management and Analysis

Data were cleaned, coded, and entered into, and analyzed by SPSS version 25 software. The AnthroPlus software was used to calculate anthropometric indices. Binary logistic regression was employed to determine the odds ratio for bivariable analysis. Candidate variables withP≤0.2 were selected for multivariable logistic regression analysis. The outputs are presented using an adjusted odds ratio with 95% confidence intervals. Statistical significance was declared at P≤0.05.


## 2.4.2. Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board (IRB) of College of Medicine and Health Science, Hawassa University (Ref. No: IRB/216/13; Date 17/9/2020). A formal letter was written from the School of Nutrition, Food Science and Technology to selected districts’ education offices. Concerned officials were informed about the purpose of the study, and a permission letter was taken. Data were collected after taking informed consent from the parents/caretakers. Study participants were told the laboratory analysis and physical examination results. Personal hygiene/sanitation and nutrition counseling was provided. Positive cases for IPIs and undernourished were consulted and linked to local health centers and hospitals for the treatment.


## 3. Result

### 3.1. Sociodemographic Characteristics of the Respondents/Family

A total of seven hundred fifty early adolescents in secondary cycle primary school were enrolled in the study with an overall response rate of 94.7%. The mean (±standard deviation) age of the early adolescents was 12.4 (± 1.60) years. Four hundred seventy-eight (63.7%) of the respondents were older than or equal to 12 years, whereas three hundred ninety-five (52.7%) were females. Concerning the ethnicity of respondents, 691 (92.1%) were Sidama. Almost all, 710 (94.7%), adolescents’ mothers/caregivers were married. Slightly greater than two-thirds, 533(71%), of the study participants’ families were Protestant religion followers. Pertaining to the place of residence, nine in ten (90.3%) were rural dwellers. About two-thirds of the respondents (65.5%) had five or more family members (Table1).Table 1
Sociodemographic characteristics of primary school early adolescents in selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Age of adolescent<12 years27236.3≥12 years47863.7Sex of adolescentMale35547.3Female39552.7ResidenceRural67790.3Urban739.7EthnicitySidama69192.1Oromo395.2Amhara202.7ReligionProtestant53371Orthodox14018.7Muslim7710.3Marital status of mothers/caretakersMarried71094.7Divorced222.9Widowed182.4Number of family members<525934.5≥549165.5


#### 3.1.1. Socioeconomic Characteristics of the Respondents/Family

Pertaining to the educational status of the study participants’ parents, nearly half, 362 (48.3%) of mothers and 230 (30.7%) of fathers were not attended formal education. Concerning the occupation, two-thirds (67.9%) of fathers were farmers whereas six in ten (60.4%) of the mothers were housewives. The vast majority of respondents, 653(87.1%) families earned monthly income less than or equal to 2000 Ethiopian Birr (Table2).Table 2
Socioeconomic characteristics of primary school early adolescents in selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Mother educationNo formal education36248.3Primary level21328.4Secondary level and above17523.3Father educationNo formal education23030.7Primary level28137.5Secondary level and above23931.8Mother occupationHousewife45360.4Merchant19225.6Employed10514Father occupationFarmer50967.9Merchant19125.5Employed506.6Monthly income level≤2000 Eth Birr65387.1>2000 Eth Birr9712.9


#### 3.1.2. Water, Sanitation, and Hygiene (WASH) Practices of Respondents’ Families

This study revealed that 276 (36.8%) of the study participants’ families lacked toilet facilities. About one-fourth, 201 (26.8%), of the respondents’ families had a history of sharing the toilet with other families or neighbors. Slightly more than one-third, 265 (35.3%), of the respondents’ families disposed waste in the open field. Piped outside the compound was the source of water for 618 (82.4%) of the families of the study participants. Ninety-seven (12.9%) reported that they walked on foot for more than thirty minutes to fetch water. About one-quarter, 197 (26.3%), used some methods of water purification (Table3).Table 3
WASH practice of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October, 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Family own toiletYes47463.2No27636.8The history of toilet sharingYes20126.8No54973.2Sour of water for the familyPiped into compound141.9Piped outside the compound61882.4Protected well/spring577.6Unprotected well/spring618.1Distance to get the water>30 minutes9712.9≤30 minutes65387.1Use some methods of water purificationYes19726.3No55373.7Waste disposal systemIn pit34045.3Burning14519.3Open field26535.3


#### 3.1.3. Personal Hygiene Practices of Study Participants

Of the total respondents, three hundred thirty-six (44.8%) reported that they did not wash their hands after a toilet visit. Dirty in the fingernails was observed in nearly half, 360 (48%), of respondents. Concerning handwashing with soap, 405 (54%) of the early adolescents used soap for washing their hands. Of the 750 respondents, 185 (24.7%) did not wear shoes. One-third, 255(34%), had a history of raw meat/vegetable consumption at least once a week (Table4).Table 4
Personal hygiene practices of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Wash hand after toiletYes41455.2No33644.8Use soap for hand washYes40554No34546Dirty in fingernails (observed)Yes36048No39052Shoes wearingYes56575.3No18524.7Consumed raw meat/vegetable in the last weekYes25534No49566


#### 3.1.4. Nutritional Status of Early Adolescents

In this study, we investigated undernutrition among early adolescents using two indicators: stunting and thinness. The mean (±standard deviation) age-specificZ-score for BMI among early adolescents was −0.42 (±0.79). The prevalence of thinness was 17.5% (95% CI: 14.8%, 20.2%). Of all respondents, 110 (14.7%) and 21 (2.8%) were observed with moderate and severe thinness, respectively. The mean (±SD) HAZ-score of the respondents was −1.06 (±0.92). The prevalence of stunting was 21.5% (95 CI: 18.6%, 24.4%). Of all study participants, 133 (17.8%) and 28 (3.7%) were diagnosed with moderate and severe stunting, respectively.


#### 3.1.5. Prevalence of IP Infections among Early Adolescents

This study revealed that 32% (95% CI: 28.7%, 35.3%) of respondents were infected by intestinal parasites. Of those infected by IP, 227 (98.4%) were infected by one parasite only (monoparasitism), whereas the remaining had polyparasitism. The most prevalent IP infection identified wasAscaris lumbricoides (A. lumbricoides) 138 (18.4%) followed by Trichuris trichiura (T. trichiura) 63 (8.4%), Schistosoma mansoni (S. mansoni) 22(2.9%), and Giardia lamblia (G. lamblia) 4 (0.7%) (Figure 1).Figure 1
Prevalence of intestinal parasites (species) infection among early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.


#### 3.1.6. Factors Associated with IPIs

The odds of IPIs were 3.6 times higher among stunted adolescents compared with not stunted (AOR = 3.61; 95% CI: 2.44–5.33). Thin adolescents were three times more likely to have intestinal parasite infections than their counterparts (AOR = 3.07; 95% CI: 2.02–4.66). Compared with those who had no history of eating raw meat at least per week, adolescents who ate raw meat once per week had 1.5 times higher odds of being infected by intestinal parasites (AOR = 1.50; 95% CI: 1.03–2.14).Early adolescents from families who not owning toilet facilities were 1.7 times more likely to be infected by intestinal parasites compared to their counterparts (AOR = 1.71; 95% CI: 1.18–2.46). Similarly, the odds of IPIs were 1.89 (AOR = 1.89; 95% CI: 1.35–2.66) times higher among early adolescents who did not wash their hands after the toilet visit compared to early adolescents who washed their hands after the toilet visit (Table5).Table 5
Factors associated with IPIs among primary school early adolescents in the districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryIPIsCORAORP valueYesNoPlace of residenceRural2064711.99 (1.22–3.25)1.55(0.89–2.69)0.122Urban343911Family income level≤2000 eth birr2014520.66 (0.43–1.03)0.67(0.42–1.09)0.113>2000 eth birr395811Family own toiletYes106170110.004No1343401.58 (1.15–2.17)1.71(1.18–2.46)Family toilet sharing historyYes61140110.144No1793701.11 (0.78–1.57)1.36(0.48–1.11)Sex of the adolescentsMale133262110.087Female1072481.18 (0.86–1.60)0.73(0.52–1.05)Shoes wearingYes177388110.217No631221.13 (0.79–1.61)0.78(0.53–1.16)Dirty in adolescents finger nailYes134226110.131No1062841.59 (1.17–2.16)1.30(0.93–1.83)Wash hands after toiletYes10730711< 0.001No1332031.88 (1.38–2.56)1.89(1.35–2.66)Raw meat eating historyYes941621.38 (1.01–1.90)1.50(1.03–2.14)0.037No14634811StuntingYes89723.58 (2.49–5.15)3.61(2.44–5.33)< 0.001No15143811ThinnessYes71603.15 (2.14–4.64)3.07(2.02–4.66)< 0.001No16945011NB: all the variables entered into the multivariable analysis model were also listed under column 1 of Table5.


## 3.1. Sociodemographic Characteristics of the Respondents/Family

A total of seven hundred fifty early adolescents in secondary cycle primary school were enrolled in the study with an overall response rate of 94.7%. The mean (±standard deviation) age of the early adolescents was 12.4 (± 1.60) years. Four hundred seventy-eight (63.7%) of the respondents were older than or equal to 12 years, whereas three hundred ninety-five (52.7%) were females. Concerning the ethnicity of respondents, 691 (92.1%) were Sidama. Almost all, 710 (94.7%), adolescents’ mothers/caregivers were married. Slightly greater than two-thirds, 533(71%), of the study participants’ families were Protestant religion followers. Pertaining to the place of residence, nine in ten (90.3%) were rural dwellers. About two-thirds of the respondents (65.5%) had five or more family members (Table1).Table 1
Sociodemographic characteristics of primary school early adolescents in selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Age of adolescent<12 years27236.3≥12 years47863.7Sex of adolescentMale35547.3Female39552.7ResidenceRural67790.3Urban739.7EthnicitySidama69192.1Oromo395.2Amhara202.7ReligionProtestant53371Orthodox14018.7Muslim7710.3Marital status of mothers/caretakersMarried71094.7Divorced222.9Widowed182.4Number of family members<525934.5≥549165.5


### 3.1.1. Socioeconomic Characteristics of the Respondents/Family

Pertaining to the educational status of the study participants’ parents, nearly half, 362 (48.3%) of mothers and 230 (30.7%) of fathers were not attended formal education. Concerning the occupation, two-thirds (67.9%) of fathers were farmers whereas six in ten (60.4%) of the mothers were housewives. The vast majority of respondents, 653(87.1%) families earned monthly income less than or equal to 2000 Ethiopian Birr (Table2).Table 2
Socioeconomic characteristics of primary school early adolescents in selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Mother educationNo formal education36248.3Primary level21328.4Secondary level and above17523.3Father educationNo formal education23030.7Primary level28137.5Secondary level and above23931.8Mother occupationHousewife45360.4Merchant19225.6Employed10514Father occupationFarmer50967.9Merchant19125.5Employed506.6Monthly income level≤2000 Eth Birr65387.1>2000 Eth Birr9712.9


### 3.1.2. Water, Sanitation, and Hygiene (WASH) Practices of Respondents’ Families

This study revealed that 276 (36.8%) of the study participants’ families lacked toilet facilities. About one-fourth, 201 (26.8%), of the respondents’ families had a history of sharing the toilet with other families or neighbors. Slightly more than one-third, 265 (35.3%), of the respondents’ families disposed waste in the open field. Piped outside the compound was the source of water for 618 (82.4%) of the families of the study participants. Ninety-seven (12.9%) reported that they walked on foot for more than thirty minutes to fetch water. About one-quarter, 197 (26.3%), used some methods of water purification (Table3).Table 3
WASH practice of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October, 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Family own toiletYes47463.2No27636.8The history of toilet sharingYes20126.8No54973.2Sour of water for the familyPiped into compound141.9Piped outside the compound61882.4Protected well/spring577.6Unprotected well/spring618.1Distance to get the water>30 minutes9712.9≤30 minutes65387.1Use some methods of water purificationYes19726.3No55373.7Waste disposal systemIn pit34045.3Burning14519.3Open field26535.3


### 3.1.3. Personal Hygiene Practices of Study Participants

Of the total respondents, three hundred thirty-six (44.8%) reported that they did not wash their hands after a toilet visit. Dirty in the fingernails was observed in nearly half, 360 (48%), of respondents. Concerning handwashing with soap, 405 (54%) of the early adolescents used soap for washing their hands. Of the 750 respondents, 185 (24.7%) did not wear shoes. One-third, 255(34%), had a history of raw meat/vegetable consumption at least once a week (Table4).Table 4
Personal hygiene practices of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Wash hand after toiletYes41455.2No33644.8Use soap for hand washYes40554No34546Dirty in fingernails (observed)Yes36048No39052Shoes wearingYes56575.3No18524.7Consumed raw meat/vegetable in the last weekYes25534No49566


### 3.1.4. Nutritional Status of Early Adolescents

In this study, we investigated undernutrition among early adolescents using two indicators: stunting and thinness. The mean (±standard deviation) age-specificZ-score for BMI among early adolescents was −0.42 (±0.79). The prevalence of thinness was 17.5% (95% CI: 14.8%, 20.2%). Of all respondents, 110 (14.7%) and 21 (2.8%) were observed with moderate and severe thinness, respectively. The mean (±SD) HAZ-score of the respondents was −1.06 (±0.92). The prevalence of stunting was 21.5% (95 CI: 18.6%, 24.4%). Of all study participants, 133 (17.8%) and 28 (3.7%) were diagnosed with moderate and severe stunting, respectively.


### 3.1.5. Prevalence of IP Infections among Early Adolescents

This study revealed that 32% (95% CI: 28.7%, 35.3%) of respondents were infected by intestinal parasites. Of those infected by IP, 227 (98.4%) were infected by one parasite only (monoparasitism), whereas the remaining had polyparasitism. The most prevalent IP infection identified wasAscaris lumbricoides (A. lumbricoides) 138 (18.4%) followed by Trichuris trichiura (T. trichiura) 63 (8.4%), Schistosoma mansoni (S. mansoni) 22(2.9%), and Giardia lamblia (G. lamblia) 4 (0.7%) (Figure 1).Figure 1
Prevalence of intestinal parasites (species) infection among early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.


### 3.1.6. Factors Associated with IPIs

The odds of IPIs were 3.6 times higher among stunted adolescents compared with not stunted (AOR = 3.61; 95% CI: 2.44–5.33). Thin adolescents were three times more likely to have intestinal parasite infections than their counterparts (AOR = 3.07; 95% CI: 2.02–4.66). Compared with those who had no history of eating raw meat at least per week, adolescents who ate raw meat once per week had 1.5 times higher odds of being infected by intestinal parasites (AOR = 1.50; 95% CI: 1.03–2.14).Early adolescents from families who not owning toilet facilities were 1.7 times more likely to be infected by intestinal parasites compared to their counterparts (AOR = 1.71; 95% CI: 1.18–2.46). Similarly, the odds of IPIs were 1.89 (AOR = 1.89; 95% CI: 1.35–2.66) times higher among early adolescents who did not wash their hands after the toilet visit compared to early adolescents who washed their hands after the toilet visit (Table5).Table 5
Factors associated with IPIs among primary school early adolescents in the districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryIPIsCORAORP valueYesNoPlace of residenceRural2064711.99 (1.22–3.25)1.55(0.89–2.69)0.122Urban343911Family income level≤2000 eth birr2014520.66 (0.43–1.03)0.67(0.42–1.09)0.113>2000 eth birr395811Family own toiletYes106170110.004No1343401.58 (1.15–2.17)1.71(1.18–2.46)Family toilet sharing historyYes61140110.144No1793701.11 (0.78–1.57)1.36(0.48–1.11)Sex of the adolescentsMale133262110.087Female1072481.18 (0.86–1.60)0.73(0.52–1.05)Shoes wearingYes177388110.217No631221.13 (0.79–1.61)0.78(0.53–1.16)Dirty in adolescents finger nailYes134226110.131No1062841.59 (1.17–2.16)1.30(0.93–1.83)Wash hands after toiletYes10730711< 0.001No1332031.88 (1.38–2.56)1.89(1.35–2.66)Raw meat eating historyYes941621.38 (1.01–1.90)1.50(1.03–2.14)0.037No14634811StuntingYes89723.58 (2.49–5.15)3.61(2.44–5.33)< 0.001No15143811ThinnessYes71603.15 (2.14–4.64)3.07(2.02–4.66)< 0.001No16945011NB: all the variables entered into the multivariable analysis model were also listed under column 1 of Table5.


## 3.1.1. Socioeconomic Characteristics of the Respondents/Family

Pertaining to the educational status of the study participants’ parents, nearly half, 362 (48.3%) of mothers and 230 (30.7%) of fathers were not attended formal education. Concerning the occupation, two-thirds (67.9%) of fathers were farmers whereas six in ten (60.4%) of the mothers were housewives. The vast majority of respondents, 653(87.1%) families earned monthly income less than or equal to 2000 Ethiopian Birr (Table2).Table 2
Socioeconomic characteristics of primary school early adolescents in selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Mother educationNo formal education36248.3Primary level21328.4Secondary level and above17523.3Father educationNo formal education23030.7Primary level28137.5Secondary level and above23931.8Mother occupationHousewife45360.4Merchant19225.6Employed10514Father occupationFarmer50967.9Merchant19125.5Employed506.6Monthly income level≤2000 Eth Birr65387.1>2000 Eth Birr9712.9


## 3.1.2. Water, Sanitation, and Hygiene (WASH) Practices of Respondents’ Families

This study revealed that 276 (36.8%) of the study participants’ families lacked toilet facilities. About one-fourth, 201 (26.8%), of the respondents’ families had a history of sharing the toilet with other families or neighbors. Slightly more than one-third, 265 (35.3%), of the respondents’ families disposed waste in the open field. Piped outside the compound was the source of water for 618 (82.4%) of the families of the study participants. Ninety-seven (12.9%) reported that they walked on foot for more than thirty minutes to fetch water. About one-quarter, 197 (26.3%), used some methods of water purification (Table3).Table 3
WASH practice of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October, 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Family own toiletYes47463.2No27636.8The history of toilet sharingYes20126.8No54973.2Sour of water for the familyPiped into compound141.9Piped outside the compound61882.4Protected well/spring577.6Unprotected well/spring618.1Distance to get the water>30 minutes9712.9≤30 minutes65387.1Use some methods of water purificationYes19726.3No55373.7Waste disposal systemIn pit34045.3Burning14519.3Open field26535.3


## 3.1.3. Personal Hygiene Practices of Study Participants

Of the total respondents, three hundred thirty-six (44.8%) reported that they did not wash their hands after a toilet visit. Dirty in the fingernails was observed in nearly half, 360 (48%), of respondents. Concerning handwashing with soap, 405 (54%) of the early adolescents used soap for washing their hands. Of the 750 respondents, 185 (24.7%) did not wear shoes. One-third, 255(34%), had a history of raw meat/vegetable consumption at least once a week (Table4).Table 4
Personal hygiene practices of early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryFrequencyPercent (%)Wash hand after toiletYes41455.2No33644.8Use soap for hand washYes40554No34546Dirty in fingernails (observed)Yes36048No39052Shoes wearingYes56575.3No18524.7Consumed raw meat/vegetable in the last weekYes25534No49566


## 3.1.4. Nutritional Status of Early Adolescents

In this study, we investigated undernutrition among early adolescents using two indicators: stunting and thinness. The mean (±standard deviation) age-specificZ-score for BMI among early adolescents was −0.42 (±0.79). The prevalence of thinness was 17.5% (95% CI: 14.8%, 20.2%). Of all respondents, 110 (14.7%) and 21 (2.8%) were observed with moderate and severe thinness, respectively. The mean (±SD) HAZ-score of the respondents was −1.06 (±0.92). The prevalence of stunting was 21.5% (95 CI: 18.6%, 24.4%). Of all study participants, 133 (17.8%) and 28 (3.7%) were diagnosed with moderate and severe stunting, respectively.


## 3.1.5. Prevalence of IP Infections among Early Adolescents

This study revealed that 32% (95% CI: 28.7%, 35.3%) of respondents were infected by intestinal parasites. Of those infected by IP, 227 (98.4%) were infected by one parasite only (monoparasitism), whereas the remaining had polyparasitism. The most prevalent IP infection identified wasAscaris lumbricoides (A. lumbricoides) 138 (18.4%) followed by Trichuris trichiura (T. trichiura) 63 (8.4%), Schistosoma mansoni (S. mansoni) 22(2.9%), and Giardia lamblia (G. lamblia) 4 (0.7%) (Figure 1).Figure 1
Prevalence of intestinal parasites (species) infection among early adolescents in four selected districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.


## 3.1.6. Factors Associated with IPIs

The odds of IPIs were 3.6 times higher among stunted adolescents compared with not stunted (AOR = 3.61; 95% CI: 2.44–5.33). Thin adolescents were three times more likely to have intestinal parasite infections than their counterparts (AOR = 3.07; 95% CI: 2.02–4.66). Compared with those who had no history of eating raw meat at least per week, adolescents who ate raw meat once per week had 1.5 times higher odds of being infected by intestinal parasites (AOR = 1.50; 95% CI: 1.03–2.14).Early adolescents from families who not owning toilet facilities were 1.7 times more likely to be infected by intestinal parasites compared to their counterparts (AOR = 1.71; 95% CI: 1.18–2.46). Similarly, the odds of IPIs were 1.89 (AOR = 1.89; 95% CI: 1.35–2.66) times higher among early adolescents who did not wash their hands after the toilet visit compared to early adolescents who washed their hands after the toilet visit (Table5).Table 5
Factors associated with IPIs among primary school early adolescents in the districts of Hawassa University Technology Village, Southern Ethiopia, October 2020.
Variable (n = 750)CategoryIPIsCORAORP valueYesNoPlace of residenceRural2064711.99 (1.22–3.25)1.55(0.89–2.69)0.122Urban343911Family income level≤2000 eth birr2014520.66 (0.43–1.03)0.67(0.42–1.09)0.113>2000 eth birr395811Family own toiletYes106170110.004No1343401.58 (1.15–2.17)1.71(1.18–2.46)Family toilet sharing historyYes61140110.144No1793701.11 (0.78–1.57)1.36(0.48–1.11)Sex of the adolescentsMale133262110.087Female1072481.18 (0.86–1.60)0.73(0.52–1.05)Shoes wearingYes177388110.217No631221.13 (0.79–1.61)0.78(0.53–1.16)Dirty in adolescents finger nailYes134226110.131No1062841.59 (1.17–2.16)1.30(0.93–1.83)Wash hands after toiletYes10730711< 0.001No1332031.88 (1.38–2.56)1.89(1.35–2.66)Raw meat eating historyYes941621.38 (1.01–1.90)1.50(1.03–2.14)0.037No14634811StuntingYes89723.58 (2.49–5.15)3.61(2.44–5.33)< 0.001No15143811ThinnessYes71603.15 (2.14–4.64)3.07(2.02–4.66)< 0.001No16945011NB: all the variables entered into the multivariable analysis model were also listed under column 1 of Table5.


## 4. Discussion

Intestinal parasite infection continued as major threats to health in the least developed countries. Our study investigated the IPIs and their association with undernutrition among early adolescents in selected districts of Hawassa University Technology Village, Sidama Region. The key findings of this study were as follows: 32%, 21.5%, and 17.5% of early adolescents were infected with intestinal parasites, stunted, and wasted, respectively. Stunting, wasting, raw meat consumption history, handwashing practices after toilet, and toilet owning were variables that showed a statistically significant association with IPIs.This study revealed the 32% prevalence of IPIs among early adolescents showing its public health burden. This finding was consistent with other studies from Ethiopia [30] and Brazil [31]. The present study presented a lower prevalence of IPI compared to previous studies conducted in different parts of Ethiopia [11, 21–23, 25–27], India (36%) [32], Nigeria (78.1%) [33], Argentina (78.1%) [34], Sudan (87.2%) [24], and Colombia (100%) [35]. These differences may be explained by the difference in socioeconomic status, time of the study, level of environmental sanitation, lack of access to drinking water, personal hygiene, and methods used in the study.Assessing the nutritional status of adolescents is essential to improve their health. The prevalence of stunting was 21.5%. This finding was in line with studies conducted in different parts of Ethiopia [9, 23, 36]. In contrast to our study, studies conducted at Adwa [37], Angolela [30], and Wollo [38] reported a lower prevalence of stunting whereas a higher prevalence of stunting was reported from Ethiopia [39, 40] and Bangladesh (46.6%) [41]. These differences in the prevalence of stunting show prolonged food shortage and recurrent infections (IPIs and others) in the target population. Recurrent and prolonged IPIs in adolescents might aggravate stunting by disturbing gastrointestinal tract pathophysiology, food intake, and absorption of nutrients from the gut in which intern affects physiological growth. The difference may be also explained by the difference in socioeconomic status, time of the study, and methods used in the study.The prevalence of thinness (17.5%) in the present study was comparable with findings reported from Angolela, Ethiopia [30]. Compared with studies conducted in Ethiopia [27, 37, 39], the Philippines [42], and Bangladesh [41], the prevalence of thinness in the present study was low. In contrast to our findings, a low prevalence of thinness was also reported from Ethiopia [23, 36] and Argentina [34]. These reported differences of thinness could be associated with variation in the socioeconomic level, access to food of the family of the target students, time of the study, and methods used in the study.Increased prevalence of IPIs was identified in adolescents who were stunted. This finding was in line with studies investigated in Ethiopia [23, 30] and Philippines [42]. Similarly, the thinness of the early adolescent was significantly associated with intestinal parasitic infection. The consistent finding was reported by studies conducted in Angolela, Ethiopia [30], and Bahir Dar, Ethiopia [27].The habit of consuming raw meat among early adolescents increased the odds of intestinal parasite infection. Adolescents who had a habit of at least one-time consumption of raw meat had 1.5 times increased odds of being infected by intestinal parasites. This finding was comparable with studies done in Northwest Ethiopia [25] and Gondar [43]. This could have happened because most of the tapeworms that affect humans come from eating undercooked animal products/meat as well as raw or undercooked fish that is contaminated.Our study showed that study participants whose families owned the toilet and washed their hands after the toilet visit had a lower chance of being infected by intestinal parasites compared to their counterparts. This finding is consistent with a study conducted in Ethiopia [23, 25, 26], India [32], and Brazil [31]. This is explained as poor personal hygiene and poor environmental sanitation exposed adolescents to IP infections. Specifically, lack of access to toilet facilities for the safe disposal of human waste can result in intestinal parasites and diseases.


## 5. Limitation of the Study

As a limitation, due to the shortage of resources, we applied formal ether fecal concentration techniques with the direct microscopy method which has lower sensitivity to show protozoan species compared to the polymerase chain reaction- (PCR-) based techniques. We recommend researchers should conduct further studies using microscopic examination with PCR assay to increase the possibility of the presence or absence of the infection.


## 6. Conclusion

Our study showed that early adolescents in selected districts of Hawassa Technology village were infected with IPIs, indicating that IPIs continued to be major public health problems in disadvantaged communities.A. lumbricoides was the most predominant intestinal parasite identified. Similarly, the prevalence of thinness and stunting was higher and has public health significance in the study area. Being stunted, being thin, eating raw meat, not owning a toilet, and not washing hands after the toilet were the most important identified risk factors for intestinal parasite infection. Integrated intervention approaches involving decision-makers, health professionals, teachers, and communities are crucial. Strengthening nutrition counseling and interventions, school and community deworming programs, health education about personal and environmental hygiene, and sanitation are recommended. Coordination of these efforts is likely to yield appreciable and sustainable gains in improving the health and welfare of early adolescents and securing a prosperous future.



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*Source: 3937948-2021-10-15.xml*