Estimated reductions in type 2 diabetes burden through nutrition policies in AZAR cohort population: A PRIME microsimulation study for primary health care

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-03-14 DOI:10.34172/hpp.42452

S. Pourmoradian, N. Kalantari, Hassan Eini-Zinab, Alireza Ostadrahimi, Jafar Sadegh Tabrizi, E. Faramarzi

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引用次数: 0

Abstract

Background: Given the impact of high intake of sugar-sweetened beverages on type 2 diabetes, intervention to reduce their consumption can be a top priority for any health system. Thus, the purpose of the present study is to simulate the impact of policy options related to reduce consumption of sugar-sweetened beverages (SSBs) on the prevalence and mortality of type 2 diabetes in Iranian men and women. Methods: A discrete event simulation (DES) model was used to predict the effect of several policy options on the prevalence and death from type 2 diabetes in Azar Cohort Databases. Population age- and sex-specific prevalence and incidence rate of diagnosed diabetes were derived from the national health data. The Preventable Risk Integrated Model (PRIME) model was used for coding the input parameters of simulation using R and Python software. Results: The prevalence and mortality rate of type 2 diabetes under the scenario of reduced consumption of SSBs indicated that the highest and the lowest prevalence and mortality rates of type 2 diabetes for men and women were related to no policy condition and replacing SSBs with healthy drinks, like water, respectively. Also, the maximum "number of deaths postponed/ prevented" from type 2 diabetes was related to replacing SSBs with water (n=2015), and an integration of reformulation and applying 10% tax on SSBs (n=1872), respectively. Conclusion: Simulating the effect of different policy options on reducing the consumption of SSBs showed "replacing of SSBs with water" as the most effective policy option in Iranian setting.

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在 AZAR 队列人群中通过营养政策减轻 2 型糖尿病负担的估计值：针对初级卫生保健的 PRIME 微观模拟研究

背景：鉴于含糖饮料的高摄入量对 2 型糖尿病的影响，减少含糖饮料摄入量的干预措施可能是任何卫生系统的当务之急。因此，本研究旨在模拟减少含糖饮料（SSB）消费的相关政策选择对伊朗男性和女性 2 型糖尿病患病率和死亡率的影响。方法：采用离散事件模拟（DES）模型预测若干政策方案对阿扎尔队列数据库中 2 型糖尿病患病率和死亡率的影响。人口年龄和性别特异性流行率和确诊糖尿病的发病率来自国家健康数据。使用 R 和 Python 软件对可预防风险综合模型（PRIME）模型的输入参数进行编码模拟。结果减少 SSB 消费情况下的 2 型糖尿病患病率和死亡率表明，男性和女性 2 型糖尿病的最高患病率和最低死亡率分别与无政策条件和用健康饮料（如水）替代 SSB 有关。此外，因 2 型糖尿病而 "推迟/防止的死亡人数 "最多的情况分别与以水取代固体饮料（人数=2015）以及整合配方和对固体饮料征收 10%的税（人数=1872）有关。结论模拟不同政策选择对减少 SSB 消费量的影响表明，在伊朗环境下，"用水取代 SSB "是最有效的政策选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.