Next Article in Journal
Measuring the Pattern of High Temperature Areas in Urban Greenery of Nanjing City, China
Previous Article in Journal
Epidemiologic Methods Lessons Learned from Environmental Public Health Disasters: Chernobyl, the World Trade Center, Bhopal, and Graniteville, South Carolina
Correction published on 23 October 2012, see Int. J. Environ. Res. Public Health 2012, 9(10), 3769.
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Intestinal Helminth Infections and Nutritional Status of Children Attending Primary Schools in Wakiso District, Central Uganda

Department of Community Health and Behavioral Sciences, Makerere University School of Public Health, Kampala, Central Region, +256, Uganda
Department of Epidemiology and Biostatistics, Makerere University School of Public Health, Kampala, Central Region, +256, Uganda
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2012, 9(8), 2910-2921;
Received: 29 June 2012 / Revised: 21 July 2012 / Accepted: 2 August 2012 / Published: 16 August 2012


A cross-sectional study to assess the prevalence of intestinal helminth infections and nutritional status of primary school children was conducted in the Wakiso district in Central Uganda. A total of 432 primary school children aged 6–14 years were randomly selected from 23 schools. Anthropometric measurements of weight, height, MUAC were undertaken and analyzed using AnthroPlus software. Stool samples were examined using a Kato-Katz method. The prevalence of stunting, underweight and moderate acute malnutrition (MAM) was 22.5%, 5.3% and 18.5% respectively. Males had a threefold risk of being underweight (OR 3.2, 95% CI 1.17–9.4, p = 0.011) and 2 fold risk of suffering from MAM (OR 2.1, 95% CI 1.21–3.48, p = 0.004). Children aged 10–14 years had a 2.9 fold risk of stunting (OR 2.9, 95% CI 1.37–6.16, p = 0.002) and 1.9 risk of MAM (OR 1.9, 95% CI 1.07–3.44, p = 0.019). Attending urban slum schools had 1.7 fold risk of stunting (OR 1.7, 95% CI 1.03–2.75, p = 0.027). Rural schools presented a twofold risk of helminth infection (OR 1.95, 95% CI 1.12–3.32, p = 0.012). The prevalence of helminth infections was (10.9%), (3.1%), (1.9%), (0.2%) for hookworm, Trichuria trichiura, Schistosoma mansoni and Ascaris lumbricoides, respectively. The study revealed that 26.6%, 46% and 10.3% of incidences of stunting, underweight and MAM respectively were attributable to helminth infections.

1. Introduction

Malnutrition is an underlying cause of over half of child deaths in many developing countries and affects the physical, mental, social wellbeing and child development. Malnutrition is associated with lower enrollment and poor cognitive functioning among children attending school [1,2,3].
In Uganda, an assessment of school children aged 9–15 years in 2006–2007 revealed that 8.7%, 13% and 10.1% were stunted, underweight and thin respectively [4]. In comparison, several studies in Ghana, Tanzania, Indonesia, Vietnam and India found stunting and underweight to be high, ranging between 48% to 56% for stunting and 34% to 62% for underweight [5,6].
Globally an estimated 100 million people have been reported to have experienced stunting or wasting as a result of worm infections [7]. The nutritional status of people infected with helminths is altered through a decline in food intake and/or an increase in nutrient wastage through blood loss, vomiting or diarrhea [8]. These effects can lead to or aggravate protein energy malnutrition, anemia and other nutrient deficiencies.
In Africa, 90 million school-age children are estimated to be infected with soil transmitted helminths [9]. School-age children are more predisposed and vulnerable to helminth infections compared to other age groups [9,10,11,12]. A total of 40–50 million school-age children in sub-Saharan Africa were reported to be infected with hookworm in the year 2009 [11]. A study among 20,185 school children in Uganda revealed that 6.3%, 5.0%, 43.5% were infected with Ascaris lumbricoides, Trichuris trichiura and hookworms respectively [13].
Elimination of helminth infections can improve the nutritional status of children. The provision of periodic anti-helminth treatment in Uganda and Zanzibar has been reported to be associated with an increase in weight gain of 10% above expected [14,15]. The WHO resolved to have a 75% to 100% de-worming coverage among school-age children in countries where the prevalence of helminth infections is more than 50% [16]. In Uganda, despite the ongoing 7 year de-worming program, helminth infections remain a major health problem. The Wakiso District monthly reports of 2009 show that 23% of the 171,472 children aged below 5 years that attended the health units were infected with intestinal worms.
It is not known whether after carrying out routine de-worming for over 7 years, intestinal helminth infections still remain an important factor in the causation of malnutrition among children attending primary schools in Uganda. This study therefore, aimed at establishing whether helminth infections should be given priority as a risk factor for malnutrition among children attending primary schools in this District and Uganda in general.

2. Methods

2.1. Study Setting

The study was conducted in the Wakiso district, Central Uganda. The district has a total of 957,300 inhabitants. It is administratively made up of two counties, namely Kyandondo and Busiro, one municipality, four town councils and 15 sub-counties. In 2009 the district had a total of 774 registered primary schools 238 of which are government aided and the rest privately owned. The 774 schools had a total of 237,778 registered pupils; 118,016 (49.6%) were boys and 119,762 (50.4%) girls.

2.2. Sampling Procedure

This was a cross-sectional study involving 432 pupils randomly selected from 23 out of 278 schools in the selected sub-counties/town councils. Six sub-counties and two town councils were selected from the two counties. Lists of schools were drawn up and used to randomly select on average three schools from each sub-county/town council, making a total of 23 schools.
Out of the selected schools, 57% came from urban slums and 43% from rural settings. The school were stratified into private 11 (47.8%) and government 12 (50.2%). At school level the selection of the respondents was based on stratification into upper (primary 5 to 7) and lower (primary 1 to 4) respectively. One class from each stratum was randomly selected. Within the selected class, registers were obtained from which systematic sampling was done to select the children. In each stratum (class) nine or 10 pupils were randomly selected, giving a total of approximately 19 pupils investigated in each school.

2.3. Data Collection Procedure

Anthropometric measurements of mid-upper arm circumference (MUAC), height and weight were undertaken following Gibson’s guidelines [17] and analyzed using AnthroPlus software.

2.4. Weight Measurement

Children were weighed using Seca digital scales which were validated with standard weights before actual weighing of the children commenced. The scales were placed on a hard flat surface. Children wearing only lightweight clothing (excludes shoes, belts, socks, watches and jackets) were weighted. Each child was measured twice and the measure compared to agree within 10 g. If the difference between the measures exceeded the tolerance limit (the degree to which the two measurements are close), the child was repositioned and re-measured a third time. The average of the two measures in closest agreement was recorded.

2.5. Height Measurement

The child stood with back against the board, his/her heels, buttocks, shoulders and head touching a flat upright sliding head piece. The child’s legs were placed together with the knees and ankles brought together. Children were asked to take in a deep breath. The child’s height measurement was taken when the child had a maximum inspiration. The headpiece was brought down onto the upper most point on the head and the height recorded to the nearest 0.1 cm at the examiner’s eye level.

2.6. Measurement of MUAC

The MUAC was taken using the MUAC tapes recommended by WHO and UNICEF [18]. The MUAC was measured on the left arm at the level of the upper arm midpoint mark. The measurement was then taken to the nearest 0.1 cm.

2.7. Collection of Stool Samples

A total of 432 tool samples were collected in polyethylene containers and examined in the field using a Kato-Katz cellophane faecal thick smear method [19]. Each smear was examined twice by two different laboratory technicians. Examination of the specimen in the field was carried out in order to capture hookworms which tend to clear in the stool if not examined within a few hours of collecting the stool.

2.8. Quality Control

Training of research assistants and pre-testing of tools were done prior to the study. Weighing scales were checked and validated with standard weights every day before actual weighing of the children commenced.

2.9. Data Analysis

For anthropometric data analysis, standard deviation (Z-scores) scores were obtained by WHO AnthroPlus software [20]. Data were captured using Epi Info version 2002 and analyzed using SPSS version 11.5. Chi-squared and Fisher’s tests were used to examine differences for proportions. Odds ratios (OR) calculated by logistic regression were presented to determine risk factors for nutritional status indices.

2.10. Stool Analysis

Stool samples were processed and analyzed using Kato-Katz thick smear [19]. The intensity of the infection was defined by number of eggs/gram (EPG) of faeces using the World Health Organization criteria which grades the intensity as light, moderate or heavy. Light intensity infection for T. trichiura category was defined as 1–999 EPG and the moderate to heavy intensity infection category is defined as ≥1,000 EPG. For ascariasis, light-and moderate to heavy intensity infection categories were defined as 1–4,999 EPG and ≥5,000 EPG, respectively. For hookworm, light-and moderate to heavy intensity infection categories are defined as 1–1,999 EPG and ≥2,000 EPG, respectively.

2.11. Nutritional Status Assessment

This was assessed using BMI-for-Age (BAZ), Height-for-age (HAZ) and Mid-Upper-Arm-Circumference (MUAC). Standard deviation (SD) scores (Z scores) were applied to determine the nutritional status as recommended by the WHO [21]. Children whose BAZ and HAZ was above-2SD scores were considered well nourished and those below -2SD scores as being malnourished.
Children aged 6–10 years whose MUAC was less than 135 mm were considered to have severe acute malnutrition (SAM) while those with MUAC between 135 mm and 145 mm were considered as having moderately acute malnutrition (MAM). For children aged 10–14 years SAM was defined by a MUAC of less than 160 mm while those between 160 mm–185 mm were considered as being with MAM.

2.12. Ethical Considerations

Permission to carry out the study was granted by Makerere University School of Public Health Higher Degree Research and Ethics Committee and the Uganda National Council for Science and Technology (UNCST). Permission from the relevant authorities in the district was obtained before carrying out the study. Head teachers were informed in advance about the study and made arrangements for collection of stool samples. Pupils had the right to accept or refuse to join the study without any consequences. A written informed consent was sent to the parents of the pupils for endorsement. An ascent was obtained from each pupil before assessment. Children who were found to have helminth infections were treated with albendazole and praziquantel tablets.

3. Results

3.1. Socio-Demographic Characteristics of the Study Subjects

A total of 432 school children were investigated. The mean age of children was 10.9 years. The majority (78.5%) were aged between 10–14 years as shown in Table 1 below.
Table 1. Characteristics of children and schools.
Table 1. Characteristics of children and schools.
Characteristicn = 432(%)
Age group (years)
Location of school
Urban slums22953.0
Ownership of school

3.2. Nutritional Status of Children

Table 2 shows that children in the age group of 10–14 year were 2.9 times more likely to be stunted compared to the other age group (p = 0.002). Children in urban slum schools were 1.7 times to be stunted compared to those rural (p = 0.027).
Boys were three times more likely to be underweight compared to girls (p = 0.011). There were no significant differences between the prevalence of underweight among children attending schools in the rural and urban slum areas (p = 0.438) as well as those in private and public schools (p = 0.128).
Table 3 shows that children in the 11–14 year age group were twice more likely to suffer from moderate acute malnutrition (MAM) as compared to those in the other age group (p = 0.019). Males were 2 times more likely to suffer from MAM than the girls (p = 0.004). There was no difference in the prevalence of MAM among children in rural and urban slum schools as well as those in public and private schools.
Table 2. Nutritional status of children investigated.
Table 2. Nutritional status of children investigated.
VariableNutritional Status n = 432Odds Ratio95% CIP value
−2SD & below n (%)Above −2SD n (%)
Age (years)
10–1487 (20.0)252 (58.3)2.91.37–6.160.002 *
6–910 (2.3)83 (19.2)
Female43 (10.0)181 (41.9)0.680.42–1.90.092
Male54 (12.5)154 (35.6)
Urban slums61 (14.2)168 (38.9)1.71.03–2.750.027 *
Rural36 (8.3)167 (38.7)
Public43 (10.0)174 (40.3)0.740.46–1.120.187
Private54 (12.5)161 (37.2)
Age (years)
6–95 (1.1)88 (20.4)1.00.32–3.00 1.0
10–1418 (4.2)321 (74.3)
Male17 (3.9)191 (44.2)3.21.17–9.40.011 *
Female6 (1.4)218 (50.5)
Rural9 (2.1)194 (44.9)0.710.28–1.800.438
Urban slums14 (3.2)215 (49.8)
Public8 (1.8)209 (48.4)0.510.19–1.310.128
Private15 (3.5)200 (46.3)
* p value < 0.005, statistically significant association.
Table 3. Nutritional status of children as measured by MUAC.
Table 3. Nutritional status of children as measured by MUAC.
VariableNutritional statusOdds ratio95% CIP value
MAM n (%)Normal n (%)
Age (years)
11–1460 (13.9)215 (49.8)1.91..07–3.440.019 *
6–1020 (4.6)137 (31.7)
Male50 (11.6)158 (36.6)2.11.21–3.480.004 *
Female30 (6.9)194 (44.9)
Rural37 (8.5)166 (38.5)0.960.58–1.610.883
Urban slums43 (10.0)186 (43.0)
Public41 (9.5)176 (40.7)1.10.63–1.760.840
Private39 (9.0)176 (40.7)
* p value < 0.005, statistically significant association.

3.3. Prevalence and Intensity of Helminth Infections

The study shows that majority of the 69 infected children had hookworms (67%) followed by Trichiuris Trichiura (19%), Schistosoma Mansoni (12%) and Ascaris Lumbricoid (2%). The intensity of infection was described as being low. The mean Egg per Gram (EPG) was 17; the lowest and highest EPG were 1 and 279 respectively. Table 4 indicates that children who attended rural primary schools were 1.95 times more likely to be infected compared to those in the urban slum schools (p = 0.012).
Table 4. Helminth infection by socio-demographic characteristics and de-worming period.
Table 4. Helminth infection by socio-demographic characteristics and de-worming period.
VariableHelminth infectionOdds 95% CIP value
Infected n = 69 (%)Uninfected n = 363 (%)ratio
Age (years)
6–909 (2.1)84(19.4)2.010.92–4.540.061
10–1460 (13.9)279 (64.6)
Females28 (6.5)196(45.5)0.960.56–1.660.89
Males41(9.5)298 (69.0)
Rural42 (9.7)161 (37.3)1.951.122–3.420.012*
Urban slums27 (6.3)202 (46.8)
Public36 (8.3)181(41.9)1.10.64–1.890.72
Private33 (7.60)182 (42.1)
De-worming period
July-September 201035 (8.1)122 (28.2)2.031.17–3.530.007*
October-December 201034 7.9)241 (55.8)
* p value < 0.005, statistically significant association.
Table 5. Comparisons of nutritional status and helminth infections.
Table 5. Comparisons of nutritional status and helminth infections.
Helminth infectionsNutritional statusRow totalRow %95% CIP valuePercentage attribution riskPopulation attribution risk
Infected20        4969290.8-
Uninfected77        28636321
Infected6        63698.70.7-5.50.24679
Uninfected17 3635
Infected14        556920.30.6-2.30.710.319.1
Uninfected66        29736318.2
Children who were last de-wormed between July and September 2010 had an increased risk of being infected with helminths compared to those last de-wormed between October and December 2010 (p = 0.007). Table 5 above indicates that 26.6%, 46% and 10.3% of the risks to stunting, underweight and MAM respectively may be due to intestinal helminth infections.
It is also important to note from Table 5 that 5.8%, 79% and 19.1% of the incidences of stunting, underweight and MAM respectively, in the total population of primary school children may be attributable to intestinal helminth infections in this district.

4. Discussion

The study revealed that 22.5% of the children were stunted, 5.3% underweight and 18.5% had moderate acute malnutrition. The prevalence of helminth was 16% with a low intensity of infection. The prevalence of stunting revealed by our study is lower than that reported among school children in Ethiopia of 26.5%; China; 25.6% and India 37% [22,23,24]. One explanation for the lower prevalence of stunting in this community could be the lower helminth infection prevalence and intensity of infection compared to settings where both helminth and stunting levels are high. Moderate-to-heavy intensity helminth infections have been reported to be a risk factor for the high stunting prevalence among school children [23]. A study in Nepal also revealed that out of the 818 primary school children assessed, 65.8% were infected with helminths and 61% were malnourished [25].
The prevalence of stunting was found to be significantly higher among children attending urban slum schools (14.1%) than among those in rural schools. A study by Amuta et al. also revealed a higher prevalence of malnutrition among children attending schools in urban slum settings of Nigeria [26]. It is possible that food insecurity may be one of the contributing factors. The socio-economic conditions of the parents/families in urban slum may be poorer than for the population in rural areas who may have agricultural fields and therefore have better access to and food security.
The study showed that the prevalence of underweight was low compared to that reported in other countries. Several studies by Medhi et al., Osei et al., and Nitish et al. done in Indian school children showed an underweight prevalence of 51.7%, 60.9% and 44%, respectively [5,24,27]. Fitsum et al. also reported a high prevalence of underweight of 58.3% among school-age girls in Ethiopia [22]. The low prevalence of underweight reported in our study may be attributed to the routine de-worming programme that has been running in the country since 2003. A number of studies reveal that de-worming can lead to increase in weight among those de-wormed. Provision of periodic anti-helminth treatment as part of child health services in Uganda resulted in an increase in weight gain of 10% above expected when treatments were given twice a year and an increase of 5% when treatment was given annually [14]. A randomized double blind study on Ascaris infested children aged 2–12 years in Dhaka (Bangladesh) also revealed a statistically significant weight gain among children given anti-helminths than those given placebos [28].
The prevalence of Underweight and MAM was significantly higher among children aged 10–14 years compared to those aged 6–9 years. These findings agree with Del Rosso’s conclusion that nutritional status does not improve with age [1]. The extra demands that come as children grow (like increased play or walking long distances to school) create a need for energy that is much greater than that of pre-school and early-school goers. Indeed, the majority (78.5%) of the children recruited in this study were teenagers aged between 10–14 years.
The prevalence of acute malnutrition (wasting) of 18.5% established by this study is somewhat similar to that reported by Medhi et al. and Nitish et al., of 21.2% and 21.5%, respectively, among Indian school children [5,27]. The presence of moderate acute malnutrition among school goers is an indication that severe form acute malnutrition might exist in the community among school-age children however; this study may not have been able to capture them because a severely acutely malnourished child cannot attend school.
The study revealed a significantly higher prevalence of underweight and moderate acute malnutrition (MAM) among boys than girls. Our results are consistent with those of Ingunn Marie et al. and Mupfasoni et al., which showed that boys are more vulnerable to malnutrition compared to girls [29,30]. The biological, psychosocial and cognitive changes associated with rapid growth and development in teenagers directly affect their nutritional status and nutrient needs. These needs are however, different for boys and girls [31].
The study showed that 16% of the children were infected with intestinal helminth. The prevalence of these infections in this study is lower than that reported by Kabatereine et al. [13,32]. The fact that the studies by Kabatereine et al. were undertaken only 2–3 years after starting a country wide de-worming policy as compared to this done after 7 years might explain the lower prevalence of helminth infections revealed by this study. Thus the policy of child days plus during which de-worming of children take pace may be having some effects.
The study revealed that children who were last de-wormed more than 6 months to the time of research were twice more likely to be infected with helminths than those last de-wormed less than six months. This may suggest that helminth re-infections may be occurring frequently during the year. This may be associated with poor sanitation environment in which the children live in the urban slums and rural communities.
Children attending rural schools had a higher risk of being infected with helminth infections compared to those in the urban slums. These findings are not different from those of Stoltzus et al., where hookworms were more prevalent among the rural Pemba island school children than those in the urban areas [33]. It is important to note that none of the children investigated had a moderate to heavy form of infection. All (16%) the infected children had a very light intensity of infection. It is possible that the de-worming campaign that has been running in this country since 2003 could have reduced the prevalence and intensity of the helminth infections.
The study showed that acute and chronic malnutrition is high among children attending primary schools. Urban slumming is a risk factor for chronic malnutrition while early adolescence and being a male child are a risk to acute malnutrition. Therefore programs directed towards improving the nutritional status of school children should be formulated, monitored and periodically evaluated. Such programs should treat males and teenage school goers as children more vulnerable to malnutrition and thus make special arrangements for improvement of their nutritional status.
The study revealed that 26.6%, 46% and 10.3% of the incidences of stunting, underweight and moderate acute malnutrition (MAM) cases respectively are attributable to the potential effects of intestinal helminthes infections. The study also showed that, 5.8%, 79% and 19.1% of the incidences of stunting, underweight and MAM in the total population of primary school goers in this district are attributable to intestinal helminthes infections. These findings do not differ much from those of Shang who mentioned moderate-to-heavy intensity helminthes infections a risk factor for the 25.6% stunting prevalence among school children in China [23].

5. Conclusions

Basing on the findings of this study, the following conclusions can be made:
  • (1) Acute malnutrition in its moderate form and stunting is high among children attending primary schools. Living in urban slums is a risk factor for stunting while early adolescence and being a male child are a risk to moderate acute malnutrition.
  • (2) The intensity of helminthes infections among school children in this district is very low. The low intensity being attributable to the bi-annual de-worming campaign that has been ongoing for over 7 years.
  • (3) Elimination of helminthes infections among school children can play a major role in improvement of the children’s nutritional status.


The authors thank the research assistants for the work in the field, head teachers and teachers in the schools visited, staff in health and education departments of Wakiso district and the Periperi U collaboration for the financial support towards this study.

Conflict of Interest

The authors declare no conflict of interest.


  1. Del Rosso, J.M. Reference. In School Feeding Programs: Improving Effectiveness and Increasing the Benefit to Education; The Partnership for Child Development Publication: Oxford, UK, 1999. [Google Scholar]
  2. Chopra, M. Mass de-worming in Ugandan children. BMJ 2006. [Google Scholar]
  3. The Partnership for Child Development School-Age Children. Available online: (accessed on 12 March 2011).
  4. Acham, H.; Kikafunda, J.K.; Tylleskar, T.; Malde, M.K. Nutritional and Health Status of Primary Schoolchildren in Rural Uganda. Available online: (accessed on 8 August 2012).
  5. Medhi, G.K.; Barua, A.; Mahanta, J. Growth and nutritional status of school-age children (6–14 years) of tea garden workers of Assam. J.Hum.Ecol. 2006, 19, 83–85. [Google Scholar]
  6. Partnership for Child Development. The anthropometric status of school children in five countries in the partnership for child development. Proc. Nutr. Soc. 1998, 57, 149–158. [CrossRef]
  7. World Development Report: Investing in Health. Available online: (accessed on 13 April 2011).
  8. Stephenson, L.S.; Holland, C. Reference. In Impact of Helminth Infections on Human Nutrition; Taylor and Francis Ltd.: New York, NY, USA, 1987. [Google Scholar]
  9. Brooker, S.; Hotez, P.J.; Donald, A.; Bundy, P. The Global Atlas of Helminthes Infections. Mapping the Way Forward in Neglected Tropical Disease Control. Available online: (accesses on 29 May 2011).
  10. Levinger, B. Reference. In Nutrition, Health and Learning: Current Issues and Trends; Education Development Center: Boston, MA, USA, 1992. [Google Scholar]
  11. Hotez, P.J.; Kamath, A. Neglected tropical diseases in sub-saharan Africa: Review of their prevalence, distribution, and disease burden. PLoS Negl. Trop. Dis. 2009. [Google Scholar]
  12. Bundy, D.A.P. This wormy world: Then and now. Parasitol. Today 1997, 13, 407–408. [Google Scholar] [CrossRef]
  13. Kabatereine, E.M.; Tukahebwa Kazibwe, F.; Twa-Twa, J.; Barenzi, M.; Zaramba, F.Z.S.; Stothard, J.R.; Fenwick, A.; Brooker, S. Soil-Transmitted Helminthiasis in Uganda:Epidemiology and Cost of Control. In Tropical Medicine and International Health; Blackwell Publishing Ltd.: London, UK, 2005; pp. 1187–1189. [Google Scholar]
  14. Harold, A.; Konde-Lule, J.; Sebuliba, I.; Bundy, D.; Hall, A. Effect on weight gain of routinely giving albendazole to preschool children during child health days in Uganda. Cluster randomized controlled trial. BMJ 2006. [Google Scholar]
  15. Stephenson, S.; Latham, M.C.; Adams, E.J.; Kinoti, S.K.; Ppertet, A. Weight gain of Kenyan school children infected with hookworm, Trichuris trichiura and Ascaris lumbricoides is improved following once or twice yearly treatment with albendazole. J. Nutr. 1993, 123, 656–665. [Google Scholar]
  16. World Health Assembly Endorses WHO’s Strategic Priorities. Available online: (accessed on 18 April 2011).
  17. Rosalind, S.G. Nutritional Assessment, A Laboratory Manual; Oxford University Press: New York, NY, USA, 1993. [Google Scholar]
  18. WHO Child Growth Standards and the Identification of Severe Acute Malnutrition in Infants and Children; WHO and UNICEF: Geneva, Switzerland, 2009.
  19. World Health Organization, Bench Aids for the Diagnosis of Intestinal Parasites; WHO: Geneva, Switzerland, 1994.
  20. World Health Organization, WHO AnthroPlus Software for Assessing Growth and Development of the World’s Children; WHO: Geneva, Switzerland, 2005.
  21. WHO Global Database on Child Growth and Malnutrition; WHO: Geneva, Switizerland, 1997.
  22. Fitsum, H.; Afework, M.; Stoecker, B.; Kruseman, G.; Linderhof, V.; Zenebe, A.M.Y.; Girmay, G.S. Nutritional status of adolescent girls from rural communities of Tigray, Northern Ethiopia. Ethiop. J. Health Dev. 2009, 23, 5–11. [Google Scholar]
  23. Shang, Y.; Tang, L.H.; Zhou, S.S.; Chen, Y.D.; Yang, Y.C.; Lin, S.X. Stunting and soil-transmitted-helminth infections among school-age pupils in rural areas of southern China. Parasite. Vector. 2010. [Google Scholar]
  24. Osei, A.; Houser, R.; Bulusu, S.; Joshi, T.; Hamer, D. Nutritional status of primary schoolchildren in Garhwali Himalayan villages of India. Food Nutr. Bull. 2010, 31, 221–233. [Google Scholar]
  25. Moock, P.R.; Leslie, J. Childhood malnutrition and schooling in the Terai region of Nepal. J. Dev. Econ. 1986, 20, 33–52. [Google Scholar] [CrossRef]
  26. Amuta Elizabeth, U.; Houmsou, R.S. Assessment of nutritional status of school children in Makurdi, Benue State. Asian network for scientific information. Pak. J. Nutr. 2009, 8, 691–694. [Google Scholar] [CrossRef]
  27. Nitish, M.; Jaydip, S. Prevalence of under-nutrition among children (5–12 years) belonging to three communities residing in a similar habitat in North Bengal. Ann. Hum. Biol. 2010, 37, 199–217. [Google Scholar] [CrossRef]
  28. Sarkar, N.R.; Anwar, K.S.; Biswas, K.B.; Mannan, M.A. Effect of deworming on nutritional status of Ascaris infested slum children of Dhaka, Bangladesh. PMD 2002, 39, 1021–1026. [Google Scholar]
  29. Ingunn Marie, S.E.; Thorkild, T.; Wamani, H.; Karamagi, C.; Tumwine, J.K. Determinants of infant growth in Eastern Uganda: A community-based cross-sectional study. BMC Public Health 2008. [Google Scholar]
  30. Mupfasoni, D.; Karibushi, B.; Koukounari, A.; Ruberanziza, E.; Kaberuka, T.; Kramer, M.H.; Mukabayire, O.; Kabera, M.; Nizeyimana, V.; Deville, M.A.; et al. Polyparasite helminth infections and their association to anaemia and undernutrition in Northern Rwanda. PLoS Negl. Trop. Dis. 2009. [Google Scholar]
  31. Stang, J.; Story, M. Guidelines for Adolescent Nutrition Services. Available online: (accessed on 5 July 2011).
  32. Kabatereine, N.B.; Brooker, S.; Koukounari, A.; Kazibwe, F.; Tukahebwa, E.M.; Fleming, F.M.; Zhang, Y.; Webster, J.P.; Stothard, J.R.; Fenwick, A. Impact of a National helminth control programme on infection and morbidity in Ugandan schoolchildren. Bull. World Health Organ. 2007, 85, 91–99. [Google Scholar] [CrossRef]
  33. Stoltzfus, R.J.; Chwaya, H.M.; Tielsch, J.M.; Schulze, K.J.; Albonico, M.; Lorenzo, S. Epidemiology of iron deficiency anemia in Zanzibari school children: The importance of hookworms. Am. J. Clin. Nutr. 1997, 65, 153–159. [Google Scholar]

Share and Cite

MDPI and ACS Style

Lwanga, F.; Kirunda, B.E.; Orach, C.G. Intestinal Helminth Infections and Nutritional Status of Children Attending Primary Schools in Wakiso District, Central Uganda. Int. J. Environ. Res. Public Health 2012, 9, 2910-2921.

AMA Style

Lwanga F, Kirunda BE, Orach CG. Intestinal Helminth Infections and Nutritional Status of Children Attending Primary Schools in Wakiso District, Central Uganda. International Journal of Environmental Research and Public Health. 2012; 9(8):2910-2921.

Chicago/Turabian Style

Lwanga, Francis, Barbara Eva Kirunda, and Christopher Garimoi Orach. 2012. "Intestinal Helminth Infections and Nutritional Status of Children Attending Primary Schools in Wakiso District, Central Uganda" International Journal of Environmental Research and Public Health 9, no. 8: 2910-2921.

Article Metrics

Back to TopTop