Flow diagram demonstrating identification, inclusion and exclusion of studies.

<p>Flow diagram demonstrating identification, inclusion and exclusion of studies.</p

Forest plot for <i>S. haematobium</i> infection according to access to adequate sanitation.

<p>The square sizes represent the weight given to each dataset, and the black horizontal lines represent 95% confidence intervals. The rhombus is centred on the combined effect size, and its width represents the 95% confidence interval. The <i>I²</i> estimate is presented beneath the combined effect size.</p

Forest plot for <i>Schistosoma</i> infection according to availability or use of a safe water source.

<p>Studies on <i>S. haematobium</i> are grouped at the top in blue, followed by those on <i>S. japonicum</i> in red, and those on <i>S. mansoni</i> in green. The square sizes represent the weight given to each dataset, and the black horizontal lines represent 95% confidence intervals. For each species the rhombus is centred on the combined effect size, and its width represents the 95% confidence interval. <i>I²</i> estimates are presented beneath each combined effect size (except for <i>S. japonicum</i>, since two studies is insufficient for the <i>I²</i> calculation). The combined effect size for all human schistosome species is presented at the bottom.</p

Forest plot for <i>S. mansoni</i> infection according to access to adequate sanitation.

<p>The square sizes represent the weight given to each dataset, and the black horizontal lines represent 95% confidence intervals. The rhombus is centred on the combined effect size, and its width represents the 95% confidence interval. The <i>I²</i> estimate is presented beneath the combined effect size.</p

The school and woreda locations within SNNPR (A), and the position of SNNPR within Ethiopia (B).

<p>This figure was made using administrative boundaries from the GADM database of Global Administrative Areas [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0005948#pntd.0005948.ref020" target="_blank">20</a>].</p

The distributions of children’s anemia, stunting, and wasting classifications according to their hookworm infection intensities.

<p>Bar heights represent the percentages of each anemia, stunting, and wasting severity, in children with each hookworm infection intensity class. The number of children with each hookworm infection intensity-anemia/stunting/wasting class combination is given by <i>n</i>. Light, moderate, and heavy hookworm infections were defined as 1–1,999, 2,000–3,999, and 4,000 EPG or more, respectively [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0005948#pntd.0005948.ref022" target="_blank">22</a>]. Mild stunting and wasting were defined as zHFA and zBMI values between -2 and -3, respectively, and severe stunting and wasting values below -3. Anemia classes were calculated using blood hemoglobin concentrations, taking into account age, gender, and elevation [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0005948#pntd.0005948.ref023" target="_blank">23</a>].</p

Sanitation, hookworm, anemia, stunting, and wasting in primary school children in southern Ethiopia: Baseline results from a study in 30 schools

<div><p>Background</p><p>Inadequate nutrition; neglected topical diseases; and insufficient water, sanitation, and hygiene (WASH) are interrelated problems in schools in low-income countries, but are not routinely tackled together. A recent three-year longitudinal study investigated integrated school health and nutrition approaches in 30 government primary schools in southern Ethiopia. Here, we report on baseline associations between sanitation, hookworm infection, anemia, stunting, and wasting.</p><p>Methods</p><p>In each school, the <i>Schistosoma mansoni</i>, <i>S</i>. <i>haematobium</i>, and soil-transmitted helminth infection intensities; blood hemoglobin concentrations; heights; and weights of approximately 125 students were assessed. Of these 125 students, approximately 20 were randomly selected for student WASH surveys. Of these 20, approximately 15 were randomly selected for household sanitation observations. School WASH was also assessed through a combination of observations and questions to the headteacher. Mixed-effects logistic regression was used to compare household sanitation with hookworm infection (the other parasites being much less prevalent); and hookworm infection with anemia, stunting, and wasting.</p><p>Findings</p><p>Blood, stool, and urine samples were provided by 3,729 children, and student WASH and household WASH surveys were conducted with 596 and 448 of these students, respectively.</p><p>Hookworm, <i>Ascaris lumbricoides</i>, <i>Trichuris trichiura</i>, and <i>S</i>. <i>mansoni</i> infections had prevalences of 18%, 4.8%, 0.6%, and 0.3%, respectively, and no <i>S</i>. <i>haematobium</i> infections were found. Anemia, stunting, and wasting had prevalences of 23%, 28%, and 14%, respectively.</p><p>No statistically significant associations were found between latrine absence or evidence of open defecation at home, and hookworm infection (adjusted odds ratio, OR = 1.28, 95% confidence interval, CI: 0.476–3.44; and adjusted OR = 1.21, 95% CI: 0.468–3.12; respectively); or between hookworm infection and anemia, stunting, or wasting (adjusted OR = 1.24, 95% CI: 0.988–1.57; adjusted OR = 0.992, 95% CI: 0.789–1.25; and adjusted OR = 0.969, 95% CI: 0.722–1.30; respectively).</p><p>Conclusions</p><p>In this setting, no statistically significant associations were found between sanitation and hookworm; or between hookworm and anemia, stunting, or wasting. More evidence on best practices for integrated school health interventions will be gathered from the follow-up surveys in this study.</p></div

Fixed effects from the mixed-effects logistic regression for hookworm infection.

<p>This model used data from the 413 students between the ages of 5 and 18 years, and with complete data for the included variables. Of these 413 students, 71 (17%) were positive for hookworm. The variance (in the logit scale) of the random intercept for school in this model was 1.17.</p

Fixed effects from the mixed-effects logistic regression for anemia.

<p>This model used data from the 3,672 students between the ages of 5 and 18 years, and with complete data for the included variables. Of these 3,672 students, 850 (23%) were anemic. The variance (in the logit scale) of the random intercept for school in this model was 0.487.</p

Fixed effects from the mixed-effects logistic regression for wasting.

<p>This model used data from the 3,686 students between the ages of 5 and 18 years, and with complete data for the included variables. Of these 3,686 students, 531 (14%) were stunted. The variance (in the logit scale) of the random intercept for school in this model was 0.381.</p