Suppr超能文献

利用系统动力学模型探索应对加勒比地区肥胖和糖尿病发病率上升的方法。

Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model.

作者信息

Guariguata Leonor, Garcia Leandro, Sobers Natasha, Ferguson Trevor S, Woodcock James, Samuels T Alafia, Guell Cornelia, Unwin Nigel

机构信息

George Alleyne Chronic Disease Research Centre, University of the West Indies, Cave Hill, Barbados.

Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, United Kingdom.

出版信息

PLOS Glob Public Health. 2022 May 19;2(5):e0000436. doi: 10.1371/journal.pgph.0000436. eCollection 2022.

Abstract

Diabetes and obesity present a high and increasing burden of disease in the Caribbean that have failed to respond to prevention policies and interventions. These conditions are the result of a complex system of drivers and determinants that can make it difficult to predict the impact of interventions. In partnership with stakeholders, we developed a system dynamics simulation model to map the system driving diabetes and obesity prevalence in the Caribbean using Jamaica as a test case. The study aims to use the model to assess the magnitude changes necessary in physical activity and dietary intake to achieve global targets set by the WHO Global Action plan and to test scenarios for interventions to reduce the burden of diabetes and obesity. Continuing current trends in diet, physical activity, and demographics, the model predicts diabetes in Jamaican adults (20+ years) to rise from 12% in 2018 to 15.4% in 2030 and 20.9% by 2050. For obesity, it predicts prevalence to rise from 28.6% in 2018 to 32.1% by 2030 and 39.2% by 2050. The magnitude change necessary to achieve the global targets set by the World Health Organization is so great as to be unachievable. However, a combination of measures both upstream (including reducing the consumption of sugar sweetened beverages and ultra processed foods, increasing fruit and vegetable intake, and increasing moderate-to-vigorous activity) at the population level, and downstream (targeting people at high risk and with diabetes) can significantly reduce the future burden of diabetes and obesity in the region. No single intervention reduces the prevalence of these conditions as much as a combination of interventions. Thus, the findings of this model strongly support adopting a sustained and coordinated approach across various sectors to synergistically maximise the benefits of interventions.

摘要

糖尿病和肥胖在加勒比地区造成了日益严重的疾病负担,且预防政策和干预措施对此并未起到有效作用。这些情况是由一系列复杂的驱动因素和决定因素导致的,这使得预测干预措施的影响变得困难。我们与利益相关者合作,开发了一个系统动力学模拟模型,以牙买加为测试案例,描绘加勒比地区导致糖尿病和肥胖症患病率上升的系统。该研究旨在使用该模型评估为实现世界卫生组织全球行动计划设定的全球目标,身体活动和饮食摄入量需要发生的必要变化幅度,并测试减少糖尿病和肥胖症负担的干预方案。按照目前饮食、身体活动和人口结构的趋势,该模型预测牙买加成年人(20岁及以上)的糖尿病患病率将从2018年的12%上升到2030年的15.4%,到2050年将升至20.9%。对于肥胖症,预测患病率将从2018年的28.6%上升到2030年的32.1%,到2050年将升至39.2%。要实现世界卫生组织设定的全球目标所需的变化幅度太大,难以实现。然而,在人群层面采取上游措施(包括减少含糖饮料和超加工食品的消费、增加水果和蔬菜摄入量以及增加中度至剧烈活动)和下游措施(针对高危人群和糖尿病患者)相结合的方式,可以显著减轻该地区未来糖尿病和肥胖症的负担。没有任何单一干预措施能像多种干预措施结合那样有效降低这些疾病的患病率。因此,该模型的研究结果有力地支持跨部门采取持续且协调的方法,以协同最大化干预措施的效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf81/10021196/6b07f599c7a4/pgph.0000436.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验