PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
摘要：
■鉴于高摄入含糖饮料对2型糖尿病的影响，减少消费的干预措施可能是任何卫生系统的首要任务。因此，本研究的目的是模拟减少含糖饮料(SSBs)消费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.
■在Azar队列数据库中，使用离散事件模拟（DES）模型来预测几种政策选择对2型糖尿病患病率和死亡的影响。人群年龄和性别特定的患病率和诊断糖尿病的发病率来自国家健康数据。可预防风险综合模型（PRIME）模型用于使用R和Python软件对仿真的输入参数进行编码。
在SSB消费减少的情况下，2型糖尿病的患病率和死亡率表明，男性和女性的2型糖尿病患病率和死亡率最高和最低与没有政策条件和用健康饮料代替SSB有关，像水一样，分别。此外，2型糖尿病的最大“推迟/预防死亡人数”与用水替代SSB有关（n=2015），以及重新制定和对SSB征收10%税的整合(n=1872)，分别。
■模拟不同政策选项对减少SSB消耗的影响表明，“用水代替SSB”是伊朗背景下最有效的政策选项。
■在Azar队列数据库中，使用离散事件模拟（DES）模型来预测几种政策选择对2型糖尿病患病率和死亡的影响。人群年龄和性别特定的患病率和诊断糖尿病的发病率来自国家健康数据。可预防风险综合模型（PRIME）模型用于使用R和Python软件对仿真的输入参数进行编码。
在SSB消费减少的情况下，2型糖尿病的患病率和死亡率表明，男性和女性的2型糖尿病患病率和死亡率最高和最低与没有政策条件和用健康饮料代替SSB有关，像水一样，分别。此外，2型糖尿病的最大“推迟/预防死亡人数”与用水替代SSB有关（n=2015），以及重新制定和对SSB征收10%税的整合(n=1872)，分别。
■模拟不同政策选项对减少SSB消耗的影响表明，“用水代替SSB”是伊朗背景下最有效的政策选项。
