A predictive modelling approach to illustrate factors correlating with stunting among children aged 12–23 months: a cluster randomised pre-post study

Autor: Mohammad Ali, Tahmeed Ahmed, Towfida Jahan Siddiqua, Nuzhat Choudhury, Fahmida Dil Farzana, Md Ahshanul Haque, Sheikh Shahed Rahman, Farina Naz, ASG Faruque, Barbie Zaman Wahid, SM Tanvir Ahmed
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMJ Open, Vol 13, Iss 4 (2023)
Druh dokumentu: article
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2022-067961
Popis: Objective The aim of this study was to construct a predictive model in order to develop an intervention study to reduce the prevalence of stunting among children aged 12–23 months.Design The study followed a cluster randomised pre-post design and measured the impacts on various indicators of livelihood, health and nutrition. The study was based on a large dataset collected from two cross-sectional studies (baseline and endline).Setting The study was conducted in the north-eastern region of Bangladesh under the Sylhet division, which is vulnerable to both natural disasters and poverty. The study specifically targeted children between the ages of 12 and 23 months.Main outcome measures Childhood stunting, defined as a length-for-age z-score
Databáze: Directory of Open Access Journals