DOI: 10.5061/dryad.76hdr7t2w
title: Safely managed sanitation practice and childhood stunting among under five years old children in Myanmar

description: In 2020, 149 million children under the age of five were estimated to be
 stunted globally. Around half of deaths among children under 5 years of
 age are related to under-nutrition. The objective of this study is to
 determine the association between safely managed sanitation and childhood
 stunting among under-five-year-old children in Myanmar. This
 cross-sectional analytical study was conducted in 16 townships across
 three regions and five states in Myanmar. Multiple logistic regression
 analyses were performed to determine the associations. This study found
 that 327 (27.09%) under-five children were stunted among a total of 1207
 children in Myanmar. Children with unsafely managed sanitation were 2.88
 times more likely to be stunting compared with children who had access to
 safely managed sanitation services (AOR=2.88, 95% CI: 2.16 to 3.85;
 p-value &lt;0.01). Other associated factors for childhood stunting
 were: needs 1–15 minutes for water collection (AOR=2.07, 95% CI: 1.46 to
 2.94; p-value &lt;0.01), 15–60 minutes for water collection times
 (AOR=1.55, 95% CI: 1.08 to 2.23; p-value 0.02), unproper waste water
 disposal (AOR=1.99, 95% CI: 1.47 to 2.70; p-value &lt;0.01), male
 children (AOR=4.49, 95% CI: 3.30 to 6.12; p-value &lt;0.01), did not
 take vitamin A supplements(AOR=1.64, 95% CI: 1.22 to 2.20; p-value
 &lt;0.01), mothers height shorter than 153.4cm (AOR=1.94, 95% CI: 1.45
 to 2.58; p-value &lt;0.01), and the lower minimal diet diversity
 (AOR=1.53, 95% CI: 1.11 to 1.87; p-value 0.02). More access to safely
 managed sanitation facilities, technical sharing for proper wastewater
 disposal, promoting household water supply system, health promotion for
 children's diet eating patterns, and regular support for Vitamin A
 supplementation are critical to reduce childhood stunting among children
 under the age of five in Myanmar.
description: Samples were chosen using multistage sampling. First, 16
 townships were chosen from eight targeted Myanmar states and regions.
 Then, using simple random sampling, 1 ward was chosen from the urban
 context, and 2 villages for rural settings were chosen from these
 townships. The household numbers, together with the names of the household
 leaders, were obtained from the township's year-end health count
 data. Following that, 1207 sample houses with children under the age of
 five were chosen using a systematic random selection technique. Finally,
 the height of selected children, their mothers and fathers were measured
 using conventional instruments, and their mothers were interviewed using
 preformed questionnaires. The data was collected from September 27, 2022,
 to December 26, 2022. Microsoft MS Excel was used to record the raw data
 of 1207 respondents.  Microsoft MS Excel was used to record the raw data
 of 1207 respondents.  The data were inverted using Stata version
 13.1. 
description: # Safely managed sanitation practice and childhood stunting among under
 five years old children in Myanmar
 [https://doi.org/10.5061/dryad.76hdr7t2w](https://doi.org/10.5061/dryad.76hdr7t2w)   Data includes height and weight of under-five children and its determinant factors mainly for 7 parts: 1) socio-demographic factors, 2) child factors, 3) parent factors, 4) WASH factors, 5) food safety and diet pattern, 6) health literacy and 7) disease factors. Data was provided in the main file sheet and code values are described in the data definition sheet. ## Description of the data and file structure As the data set was described as data (main file) and variable (data definition), the user can use these data for statistical analysis after converting into SPSS or STATA or any statistic software. ## Sharing/Access information This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any. Links to other publicly accessible locations of the data: * [http://...](http://...) Data was derived from the following sources: * Data is primary data. It is not from any sources.