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减少糖饮料消费对阿根廷糖尿病和心血管疾病的预计影响:建模研究。

Projected impact of a reduction in sugar-sweetened beverage consumption on diabetes and cardiovascular disease in Argentina: A modeling study.

机构信息

Centro de Estudios de Estado y Sociedad (CEDES), Ciudad de Buenos Aires, Argentina.

Center for Vulnerable Populations, University of California San Francisco, San Francisco, California, United States of America.

出版信息

PLoS Med. 2020 Jul 28;17(7):e1003224. doi: 10.1371/journal.pmed.1003224. eCollection 2020 Jul.

Abstract

BACKGROUND

Sugar-sweetened beverage (SSB) consumption is associated with obesity, diabetes, and hypertension. Argentina is one of the major consumers of SSBs per capita worldwide. Determining the impact of SSB reduction on health will inform policy debates.

METHODS AND FINDINGS

We used the Cardiovascular Disease Policy Model-Argentina (CVD Policy Model-Argentina), a local adaptation of a well-established computer simulation model that projects cardiovascular and mortality events for the population 35-94 years old, to estimate the impact of reducing SSB consumption on diabetes incidence, cardiovascular events, and mortality in Argentina during the period 2015-2024, using local demographic and consumption data. Given uncertainty regarding the exact amount of SSBs consumed by different age groups, we modeled 2 estimates of baseline consumption (low and high) under 2 different scenarios: a 10% and a 20% decrease in SSB consumption. We also included a range of caloric compensation in the model (0%, 39%, and 100%). We used Monte Carlo simulations to generate 95% uncertainty intervals (UIs) around our primary outcome measures for each intervention scenario. Over the 2015-2024 period, a 10% reduction in SSBs with a caloric compensation of 39% is projected to reduce incident diabetes cases by 13,300 (95% UI 10,800-15,600 [low SSB consumption estimate]) to 27,700 cases (95% UI 22,400-32,400 [high SSB consumption estimate]), i.e., 1.7% and 3.6% fewer cases, respectively, compared to a scenario of no change in SSB consumption. It would also reduce myocardial infarctions by 2,500 (95% UI 2,200-2,800) to 5,100 (95% UI 4,500-5,700) events and all-cause deaths by 2,700 (95% UI 2,200-3,200) to 5,600 (95% UI 4,600-6,600) for "low" and "high" estimates of SSB intake, respectively. A 20% reduction in SSB consumption with 39% caloric compensation is projected to result in 26,200 (95% UI 21,200-30,600) to 53,800 (95% UI 43,900-62,700) fewer cases of diabetes, 4,800 (95% UI 4,200-5,300) to 10,000 (95% UI 8,800-11,200) fewer myocardial infarctions, and 5,200 (95% UI 4,300-6,200) to 11,000 (95% UI 9,100-13,100) fewer deaths. The largest reductions in diabetes and cardiovascular events were observed in the youngest age group modeled (35-44 years) for both men and women; additionally, more events could be avoided in men compared to women in all age groups. The main limitations of our study are the limited availability of SSB consumption data in Argentina and the fact that we were only able to model the possible benefits of the interventions for the population older than 34 years.

CONCLUSIONS

Our study finds that, even under conservative assumptions, a relatively small reduction in SSB consumption could lead to a substantial decrease in diabetes incidence, cardiovascular events, and mortality in Argentina.

摘要

背景

含糖饮料(SSB)的消费与肥胖、糖尿病和高血压有关。阿根廷是世界上人均 SSB 消费最高的国家之一。确定 SSB 减少对健康的影响将为政策辩论提供信息。

方法和发现

我们使用了心血管疾病政策模型-阿根廷(CVD Policy Model-Argentina),这是一种经过良好验证的计算机模拟模型的本地改编版,可以预测 35-94 岁人群的心血管和死亡事件,以评估在 2015-2024 年期间,减少阿根廷 SSB 消费对糖尿病发病率、心血管事件和死亡率的影响,使用了当地的人口和消费数据。由于不确定不同年龄组实际消耗的 SSB 量,我们根据两种不同的情景,模拟了两种基线消耗的估计值(低和高):SSB 消耗减少 10%和 20%。我们还在模型中包括了卡路里补偿的范围(0%、39%和 100%)。我们使用蒙特卡罗模拟生成了每个干预情景的主要结果测量的 95%置信区间(UI)。在 2015-2024 年期间,预计 SSB 减少 10%,卡路里补偿为 39%,可减少 13300 例(95%UI 10800-15600[低 SSB 消费估计])至 27700 例(95%UI 22400-32400[高 SSB 消费估计])的糖尿病病例,与 SSB 消费无变化的情况相比,分别减少了 1.7%和 3.6%。它还将减少 2500 例心肌梗死(95%UI 2200-2800)至 5100 例(95%UI 4500-5700)和 2700 例全因死亡(95%UI 2200-3200)至 5600 例(95%UI 4600-6600),分别为“低”和“高”SSB 摄入量的估计值。预计 SSB 消耗减少 20%,卡路里补偿为 39%,将导致 26200 例(95%UI 21200-30600)至 53800 例(95%UI 43900-62700)的糖尿病病例减少,4800 例(95%UI 4200-5300)至 10000 例(95%UI 8800-11200)的心肌梗死减少,5200 例(95%UI 4300-6200)至 11000 例(95%UI 9100-13100)的死亡减少。在男性和女性的所有年龄组中,观察到糖尿病和心血管事件的最大减少发生在建模的最年轻年龄组(35-44 岁);此外,与女性相比,在所有年龄组中,男性可以避免更多的事件。我们研究的主要限制是阿根廷 SSB 消费数据的有限可用性,以及我们只能为年龄大于 34 岁的人群建模干预措施的可能益处。

结论

我们的研究发现,即使在保守的假设下,SSB 消费的相对少量减少也可能导致阿根廷糖尿病发病率、心血管事件和死亡率的大幅下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3e3/7386620/1df5ca204285/pmed.1003224.g001.jpg

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