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. 2024 Sep 2;82(1):145.
doi: 10.1186/s13690-024-01375-5.

A scoping review of modifiable and behavioural drivers of infectious gastroenteritis among children in high-income countries

Affiliations

A scoping review of modifiable and behavioural drivers of infectious gastroenteritis among children in high-income countries

Megbaru Alemu Abate et al. Arch Public Health. .

Abstract

Background: Globally, gastroenteritis (GE) significantly impacts children's health and contributes to societal, economic, and health burdens. Previous studies reporting risk factors of GE in children in high-income settings mainly rely on outbreak investigations, which inherently capture only a fractional representation of the overall spectrum of GE occurrences. In addition, there is paucity of comprehensive information pertaining to modifiable risk factors of GE. This scoping review aims to synthesize existing evidence concerning modifiable and behavioural risk factors associated with GE among children in high-income countries.

Methods: PubMed, Embase, CINAHL, and Scopus were the databases from which articles were retrieved. A descriptive synthesis of the evidence was performed, following the Arksey and O'Malley scoping studies framework and enhanced by the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist (PRISMA-ScR).

Results: The systematic search identified 13,395 journal articles, which were subsequently screened, and duplicates removed, resulting in 19 articles for inclusion in the review. The majority of these studies (63.2%) employed a case-control design and were predominantly conducted in community settings (68.4%). Factors such as parental literacy, contact with individuals exhibiting gastrointestinal symptoms, and nappy-wearing were identified as significantly associated with childhood GE within domestic environments. Childcare-related variables, including enrolment size, mixing of personnel between child groups, the presence of central cleaning stations, and the implementation of hygiene and disease prevention policies, showed significant association with GE. In addition, the presence of sand pits, paddling pools, and animals in childcare centers correlated with increased incidences of GE among attending children.

Conclusions: The scoping review reveals a complex and varied research landscape on factors influencing gastroenteritis (GE) for children in high-income countries. The findings suggest that while some variables are closely linked to specific pathogens, others may not be, highlighting variability across GE aetiology. The significant association between various household level and childcare-related factors and childhood GE points to a valuable direction for future research and public health intervention.

Keywords: Behaviour; Enteric pathogen; Factor; Gastroenteritis; High-income; Modifiable; Scoping review.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA-ScR flow chart for study selection process for a review of a review of modifiable and behavioural factors associated with childhood gastroenteritis in high-income countries, 1990–2018. Initially, 13,395 studies were found across four databases and citation searches. After removing duplicates (5313), 7985 more were excluded based on irrelevant titles and abstracts. 97 articles underwent full text review, with 78 being excluded. Reasons for exclusion included lack of consideration for modifiable and behavioural factors (56 articles), absence of subgroup analysis for all-age group participants (15 articles), and other factors such as ineligible study settings, lack of full-text availability, non-English texts, and review articles
Fig. 2
Fig. 2
Diagram illustrating relationships between various microorganisms/gastrointestinal conditions indicated by interconnected coloured nodes labelled with organism names and corresponding authors and year for a review of modifiable and behavioural factors associated with childhood gastroenteritis in high-income countries, 1990–2018 (Image is created using Kumu, data visualization and exploration platform)

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