Year: 2025
Type: article
Study design: Systematic Review
Abstract: Stunting, a critical and serious public health issue, hinders child development. Accurate and timely stunting detection is essential for effective interventions. Traditional anthropometric measurements face limitations like human error and resource scarcity. Digital anthropometry presents a potential solution by offering precise and efficient data collection. This study aimed to assess the effectiveness of digital anthropometry tools in early stunting detection. This study employed a systematic review method compiled based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Six databases (PubMed, Scopus, ProQuest, Medline, ScienceDirect, and others) were searched for articles published between 2019 and 2023. The Rayyan platform facilitated literature management. Among 1048 articles, eight studies demonstrated that digital anthropometry is a reliable and efficient tool for early stunting detection. Advantages include enhanced accuracy, reduced measurement time, and potential for remote monitoring. However, challenges such as cost, technical expertise, and data privacy require careful consideration for widespread implementation. By harnessing the potential of digital anthropometry, we can significantly improve early stunting detection and interventions, ultimately fostering better child health and development outcomes.
Authors: Agus Widyawati, Titih Huriah
Institution: Muhammadiyah University of Yogyakarta
Language: English
Topic: Public Health and Nutrition
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4412065776