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      Sanitation facilities, hygienic conditions, and prevalence of acute diarrhea among under-five children in slums of Addis Ababa, Ethiopia: Baseline survey of a longitudinal study

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          Abstract

          Background

          In developing countries, children under the age of five years who live in slums are highly vulnerable to diarrhea. However, there is a paucity of information on the relationship between sanitation facilities and hygienic conditions to acute diarrhea among under-five children in slum areas of Addis Ababa, Ethiopia. Therefore, this study examines the sanitation facilities and hygienic conditions in the slums of Addis Ababa and identifies the main factors significantly associated with acute diarrhea among children aged 0–50 months in those slums.

          Methods

          A community-based cross-sectional household survey was carried out between September and November 2014, that then served as the baseline survey of a longitudinal study. For this survey, 697 children aged 0–50 months were recruited from two slum districts in Addis Ababa. A pre-tested structured questionnaire and an observational checklist were used for data collection. Multivariable logistic regression analysis was used to identify sanitation facilities and hygiene-related factors that were significantly associated with acute diarrhea by controlling potential confounding effects of selected socio-demographic factors. Adjusted odds ratio (AOR) with corresponding 95% confidence interval (CI) was used to quantify the strength of association.

          Main findings

          The prevalence of acute diarrhea among children aged 0–50 months in the study area was 11.9% and 94.6% of the sanitation facilities were unimproved. Sharing of a sanitation facility by six or more households (AOR = 4.7; 95% CI: 2.4–9.4), proximity of sanitation facilities within 15 meters of homes (AOR = 6.6; 95% CI: 2.5–17.0), presence of feces (AOR = 3.9; 95% CI: 1.5–10.3) and flies (AOR = 2.5; 95% CI: 1.3–5.0) on the floor of and/or around sanitation facilities, and presence of uncollected garbage inside house compounds (AOR = 3.2; 95% CI: 1.2–8.4) were significantly associated with acute diarrhea.

          Conclusion

          This study reveals the slum environment to be high risk for diarrhea due to close proximity of sanitation facilities to homes, sharing of sanitation facilities, and poor hygiene of the sanitation facilities and housing compounds. We recommend the development of a comprehensive diarrheal disease prevention program that focuses on improving the cleanliness of the sanitation facilities and housing compounds. Increasing the number of improved sanitation facilities at an appropriate distance from houses is also essential in order to reduce the number of households that share one latrine.

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          Most cited references58

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          Applied Logistic Regression

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            Essential Medical Statistics

            <b>Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book:</b><p>"This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics."<p><i>Essential Medical Statistics</i> is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods.<p>The second edition of <i>Essential Medical Statistics</i> has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.<p>Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.<p><i>Essential Medical Statistics</i> is supported by a web site at <b>www.blackwellpublishing.com/essentialmedstats</b>. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.
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              Multi-country analysis of the effects of diarrhoea on childhood stunting.

              Diarrhoea is an important cause of death and illness among children in developing countries; however, it remains controversial as to whether diarrhoea leads to stunting. We conducted a pooled analysis of nine studies that collected daily diarrhoea morbidity and longitudinal anthropometry to determine the effects of the longitudinal history of diarrhoea prior to 24 months on stunting at age 24 months. Data covered a 20-year period and five countries. We used logistic regression to model the effect of diarrhoea on stunting. The prevalence of stunting at age 24 months varied by study (range 21-90%), as did the longitudinal history of diarrhoea prior to 24 months (incidence range 3.6-13.4 episodes per child-year, prevalence range 2.4-16.3%). The effect of diarrhoea on stunting, however, was similar across studies. The odds of stunting at age 24 months increased multiplicatively with each diarrhoeal episode and with each day of diarrhoea before 24 months (all P or=5 diarrhoeal episodes before 24 months was 25% (95% CI 8-38%) and that attributed to being ill with diarrhoea for >or=2% of the time before 24 months was 18% (95% CI 1-31%). These observations are consistent with the hypothesis that a higher cumulative burden of diarrhoea increases the risk of stunting.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                30 August 2017
                2017
                : 12
                : 8
                : e0182783
                Affiliations
                [1 ] Ethiopian Institute of Water Resources (EIWR), Addis Ababa University, Addis Ababa, Ethiopia
                [2 ] College of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia
                [3 ] Department of Epidemiology and Biostatistics, University of California, San Francisco, United States of America
                [4 ] Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
                [5 ] Department of Civil and Environmental Engineering, University of Connecticut, Storrs, United States of America
                University of Otago, NEW ZEALAND
                Author notes

                Competing Interests: The authors declare that they have no competing interests.

                Author information
                http://orcid.org/0000-0002-7039-4768
                Article
                PONE-D-17-08882
                10.1371/journal.pone.0182783
                5576656
                28854200
                80752d86-beee-44da-9c86-cbe1a22fbd32

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 6 March 2017
                : 23 July 2017
                Page count
                Figures: 1, Tables: 3, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100007941, Addis Ababa University;
                Award Recipient :
                Ethiopian Institute of Water Resources of Addis Ababa University funded this research project. The funders had no role in study design, data collection and analysis, decisions to publish, interpretation of the data and preparation of the manuscript for publication.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Public and Occupational Health
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Diarrhea
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Diarrhea
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Diarrhea
                Medicine and Health Sciences
                Public and Occupational Health
                Hygiene
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Defecation
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Defecation
                Engineering and Technology
                Environmental Engineering
                Sewage
                Earth Sciences
                Geography
                Human Geography
                Housing
                Social Sciences
                Human Geography
                Housing
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Research and Analysis Methods
                Research Design
                Longitudinal Studies
                Custom metadata
                All relevant data are in the paper and its Supporting Information files.

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