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Essential dataset features in a successful obesity registry: a systematic review.
Nosrati, Mina; Seifi, Najmeh; Hosseini, Nafiseh; Ferns, Gordon A; Kimiafar, Khalil; Ghayour-Mobarhan, Majid.
Afiliación
  • Nosrati M; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Seifi N; Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hosseini N; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ferns GA; Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Kimiafar K; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ghayour-Mobarhan M; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Int Health ; 2024 Feb 16.
Article en En | MEDLINE | ID: mdl-38366720
ABSTRACT

BACKGROUND:

The prevalence of obesity and the diversity of available treatments makes the development of a national obesity registry desirable. To do this, it is essential to design a minimal dataset to meet the needs of a registry. This review aims to identify the essential elements of a successful obesity registry.

METHODS:

We conducted a systematic literature review adhering to the Preferred Reporting Items for Systematic Review and Meta-Analysis recommendations. Google Scholar, Scopus and PubMed databases and Google sites were searched to identify articles containing obesity or overweight registries or datasets of obesity. We included English articles up to January 2023.

RESULTS:

A total of 82 articles were identified. Data collection of all registries was carried out via a web-based system. According to the included datasets, the important features were as follows demographics, anthropometrics, medical history, lifestyle assessment, nutritional assessment, weight history, clinical information, medication history, family medical history, prenatal history, quality-of-life assessment and eating disorders.

CONCLUSIONS:

In this study, the essential features in the obesity registry dataset were demographics, anthropometrics, medical history, lifestyle assessment, nutritional assessment, weight history and clinical analysis items.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int Health Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int Health Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido