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      Associations of WHO/UNICEF Joint Monitoring Program (JMP) Water, Sanitation and Hygiene (WASH) Service Ladder service levels and sociodemographic factors with diarrhoeal disease among children under 5 years in Bishoftu town, Ethiopia: a cross-sectional study

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          Abstract

          Objective

          To determine the associations of WHO/UNICEF Joint Monitoring Program Water, Sanitation and Hygiene (WASH) Service Ladder service levels and sociodemographic factors with diarrhoeal disease among children under 5 years in Bishoftu town, Ethiopia.

          Design

          A community-based cross-sectional study.

          Setting

          Bishoftu town, Ethiopia, January–February 2022.

          Participants

          A total of 1807 mothers with at least one child under 5 years were included. Sociodemographic and WASH variables were collected using a structured questionnaire. 378 drinking water samples were collected.

          Outcome

          The response variable was diarrhoeal disease among children under 5 years.

          Results

          The 2-week prevalence of diarrhoeal disease among children under 5 years was 14.8%. Illiteracy (adjusted OR 3.15; 95% CI 1.54 to 6.47), occupation (0.35; 0.20 to 0.62), mother’s age (1.63; 1.15 to 2.31), family size (2.38; 1.68 to 3.39), wealth index (5.91; 3.01 to 11.59), residence type (1.98; 1.35 to 2.90), sex of the child (1.62; 1.17 to 2.24), child’s age (3.52; 2.51 to 4.93), breastfeeding status (2.83; 1.74 to 4.59), food storage practice (3.49; 1.74 to 8.26), unimproved drinking water source (8.16; 1.69 to 39.46), limited drinking water service (4.68; 1.47 to 14.95), open defecation practice (5.17; 1.95 to 13.70), unimproved sanitation service (2.74; 1.60 to 4.67), limited sanitation service (1.71; 1.10 to 2.65), no hygiene service (3.43; 1.91 to 6.16) and limited hygiene service (2.13; 1.17 to 3.86) were significantly associated with diarrhoeal disease.

          Conclusion

          In this study, diarrhoea among children is a significant health issue. Child’s age, drinking water service, residence type and hygiene service were the largest contributors with respect to the prevalence of diarrhoeal disease. This investigation provides information that could help to inform interventions to reduce childhood diarrhoea. The findings suggest that state authorities should initiate robust WASH strategies to achieve the Sustainable Development Goal 3 agenda.

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          Most cited references55

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          The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education

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            Logistic regression: a brief primer.

            Regression techniques are versatile in their application to medical research because they can measure associations, predict outcomes, and control for confounding variable effects. As one such technique, logistic regression is an efficient and powerful way to analyze the effect of a group of independent variables on a binary outcome by quantifying each independent variable's unique contribution. Using components of linear regression reflected in the logit scale, logistic regression iteratively identifies the strongest linear combination of variables with the greatest probability of detecting the observed outcome. Important considerations when conducting logistic regression include selecting independent variables, ensuring that relevant assumptions are met, and choosing an appropriate model building strategy. For independent variable selection, one should be guided by such factors as accepted theory, previous empirical investigations, clinical considerations, and univariate statistical analyses, with acknowledgement of potential confounding variables that should be accounted for. Basic assumptions that must be met for logistic regression include independence of errors, linearity in the logit for continuous variables, absence of multicollinearity, and lack of strongly influential outliers. Additionally, there should be an adequate number of events per independent variable to avoid an overfit model, with commonly recommended minimum "rules of thumb" ranging from 10 to 20 events per covariate. Regarding model building strategies, the three general types are direct/standard, sequential/hierarchical, and stepwise/statistical, with each having a different emphasis and purpose. Before reaching definitive conclusions from the results of any of these methods, one should formally quantify the model's internal validity (i.e., replicability within the same data set) and external validity (i.e., generalizability beyond the current sample). The resulting logistic regression model's overall fit to the sample data is assessed using various goodness-of-fit measures, with better fit characterized by a smaller difference between observed and model-predicted values. Use of diagnostic statistics is also recommended to further assess the adequacy of the model. Finally, results for independent variables are typically reported as odds ratios (ORs) with 95% confidence intervals (CIs). © 2011 by the Society for Academic Emergency Medicine.
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              X.On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                27 July 2023
                : 13
                : 7
                : e071296
                Affiliations
                [1 ]departmentDepartment of Nutrition and Environmental Health Research Directorate , Ethiopian Public Health Institute , Addis Ababa, Ethiopia
                [2 ]departmentDepartment of Hygiene and Environmental Health , Ministry of Health , Addis Ababa, Ethiopia
                [3 ]International Food Policy Research Institute (IFPRI) , Washington, DC, USA
                [4 ]departmentDepartment of Economics and School of Public Policy and Administration , Carleton University , Ottawa, Ontario, Canada
                Author notes
                [Correspondence to ] Dr Aderajew Mekonnen Girmay; Aderajewmekonen1@ 123456gmail.com
                Author information
                http://orcid.org/0000-0002-7911-4152
                http://orcid.org/0000-0002-0640-946X
                http://orcid.org/0000-0002-7155-4815
                Article
                bmjopen-2022-071296
                10.1136/bmjopen-2022-071296
                10387618
                37500269
                853821a2-905d-4fe6-a4c3-fc85076903b9
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 23 December 2022
                : 12 June 2023
                Funding
                Funded by: Ministry of Health Ethiopia;
                Award ID: 5510
                Categories
                Public Health
                1506
                1724
                Original research
                Custom metadata
                unlocked

                Medicine
                infectious diseases,public health,preventive medicine,paediatric infectious disease & immunisation,epidemiology

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