慢性疾病是全球人口健康的主要威胁，贯穿整个生命周期直至老年。尽管制定了全球公共卫生目标，但慢性和非传染性疾病（例如癌症、心血管和代谢性疾病）的发病率一直在稳步增加，精神健康疾病的发病率也强劲增长。 2010 年，全球 67% 的死亡是由于慢性病造成的，随着 COVID-19 时代及其后果的加速增长，这一数字在 2019 年增加到 74%。有效预防和管理慢性病可以增强人口健康，从而对整个生命周期的老龄化和福祉产生积极影响。本文简要概述了这一现状的历程，然后讨论了我们如何更好地应对世界卫生组织所说的“慢性病海啸”。在本文中，我们主张开发、验证和随后部署综合的： 1. 多基因和多因素风险预测工具，以筛查那些未来有慢性病风险的人和那些患有未确诊慢性病的人。 2. 先进的预防、行为改变和慢性病管理，以最大限度地提高人口健康和福祉。 3. 数字卫生系统支持提高人口规模的健康预防和干预计划的效率。有人认为，这些行动中的每一项都有一个正在出现的证据基础。然而，迄今为止，关于其整合对人口水平健康综合影响的研究还很有限。我们概述了我们正在规划和目前正在开展研究以调查其整合效果的概念框架。版权所有 © 2023 Thomas、Browning、Charchar、Klein、Ory、Bowden-Jones 和 Chamberlain。

Chronic illnesses are a major threat to global population health through the lifespan into older age. Despite world-wide public health goals, there has been a steady increase in chronic and non-communicable diseases (e.g., cancer, cardiovascular and metabolic disorders) and strong growth in mental health disorders. In 2010, 67% of deaths worldwide were due to chronic diseases and this increased to 74% in 2019, with accelerated growth in the COVID-19 era and its aftermath. Aging and wellbeing across the lifespan are positively impacted by the presence of effective prevention and management of chronic illness that can enhance population health. This paper provides a short overview of the journey to this current situation followed by discussion of how we may better address what the World Health Organization has termed the "tsunami of chronic diseases." In this paper we advocate for the development, validation, and subsequent deployment of integrated: 1. Polygenic and multifactorial risk prediction tools to screen for those at future risk of chronic disease and those with undiagnosed chronic disease. 2. Advanced preventive, behavior change and chronic disease management to maximize population health and wellbeing. 3. Digital health systems to support greater efficiencies in population-scale health prevention and intervention programs. It is argued that each of these actions individually has an emerging evidence base. However, there has been limited research to date concerning the combined population-level health effects of their integration. We outline the conceptual framework within which we are planning and currently conducting studies to investigate the effects of their integration.Copyright © 2023 Thomas, Browning, Charchar, Klein, Ory, Bowden-Jones and Chamberlain.