Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
ICES, Toronto, ON, Canada.
Int J Public Health. 2024 Aug 20;69:1607060. doi: 10.3389/ijph.2024.1607060. eCollection 2024.
This study modelled diabetes risk for population groups in Canada defined by socioeconomic and lifestyle characteristics and investigated inequities in diabetes risk using a validated population risk prediction algorithm.
We defined population groups, informed by determinants of health frameworks. We applied the Diabetes Population Risk Tool (DPoRT) to 2017/2018 Canadian Community Health Survey data to predict 10-year diabetes risk and cases across population groups. We modelled a preventive intervention scenario to estimate reductions in diabetes for population groups and impacts on the inequity in diabetes risk across income and education.
The population group with at least one lifestyle and at least one socioeconomic/structural risk factor had the highest estimated 10-year diabetes risk and number of new cases. When an intervention with a 5% relative risk reduction was modelled for this population group, diabetes risk decreased by 0.5% (females) and 0.7% (males) and the inequity in diabetes risk across income and education levels was reduced.
Preventative interventions that address socioeconomic and structural risk factors have potential to reduce inequities in diabetes risk and overall diabetes burden.
本研究通过验证后的人群风险预测算法，针对加拿大按社会经济和生活方式特征定义的人群组，建立糖尿病风险模型，并探讨糖尿病风险的不公平性。
我们根据健康决定因素框架定义了人群组。我们将糖尿病人群风险工具（DPoRT）应用于 2017/2018 年加拿大社区健康调查数据，以预测各人群组的 10 年糖尿病风险和病例数。我们模拟了一种预防干预方案，以评估各人群组的糖尿病发病率下降情况及其对收入和教育水平上糖尿病风险不公平性的影响。
至少存在一种生活方式和至少一种社会经济/结构性风险因素的人群组，其预估的 10 年糖尿病风险最高，新发糖尿病病例数也最多。当针对该人群组进行 5%相对风险降低的干预时，糖尿病风险分别降低了 0.5%（女性）和 0.7%（男性），同时降低了收入和教育水平上糖尿病风险的不公平性。
针对社会经济和结构性风险因素的预防干预措施具有降低糖尿病风险不公平性和总体糖尿病负担的潜力。
