Center for Clinical Research and Prevention, Copenhagen University Hospital- Bispebjerg and Frederiksberg, Frederiksberg, Denmark.
Rev Endocr Metab Disord. 2023 Oct;24(5):1003-1010. doi: 10.1007/s11154-023-09802-8. Epub 2023 Apr 14.
Worldwide, far too many children and adolescents are living with the disease of obesity. Despite decades of public health initiatives, rates are still rising in many countries. This raises the question of whether precision public health may be a more successful approach to preventing obesity in youth. In this review, the objective was to review the literature on precision public health in the context of childhood obesity prevention and to discuss how precision public health may advance the field of childhood obesity prevention. As precision public health is a concept that is still evolving and not fully identifiable in the literature, a lack of published studies precluded a formal review. Therefore, the approach of using a broad interpretation of precision public health was used and recent advances in childhood obesity research in the areas of surveillance and risk factor identification as well as intervention, evaluation and implementation using selected studies were summarized. Encouragingly, big data from a multitude of designed and organic sources are being used in new and innovative ways to provide more granular surveillance and risk factor identification in obesity in children. Challenges were identified in terms of data access, completeness, and integration, ensuring inclusion of all members of society, ethics, and translation to policy. As precision public health advances, it may yield novel insights that can contribute to strong policies acting in concert that ultimately lead to the prevention of obesity in children.
在全球范围内,有太多的儿童和青少年患有肥胖症。尽管几十年来公共卫生部门一直在采取措施,但许多国家的肥胖率仍在上升。这就提出了一个问题,即精准公共卫生是否可能是预防青少年肥胖的一种更成功的方法。在这篇综述中,我们的目的是回顾关于精准公共卫生在儿童肥胖预防方面的文献,并讨论精准公共卫生如何推动儿童肥胖预防领域的发展。由于精准公共卫生是一个仍在不断发展的概念,在文献中还不完全明确,因此缺乏已发表的研究,无法进行正式的综述。因此,我们采用了广义的精准公共卫生概念,并总结了在儿童肥胖症监测和危险因素识别以及干预、评估和实施领域的最新进展,这些研究都利用了选定的研究。令人鼓舞的是,来自多种设计和有机来源的大数据正在以新的创新方式被用于提供更精细的儿童肥胖症监测和危险因素识别。在数据获取、完整性和整合方面存在挑战,同时还需要确保包括社会的所有成员、伦理和政策转化等问题。随着精准公共卫生的发展,它可能会产生新的见解,为协同行动的有力政策做出贡献,最终预防儿童肥胖。