Kovács Nóra, Mahrouseh Nour, Monasta Lorenzo, Andreella Angela, Campostrini Stefano, Varga Orsolya
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy.
Sci Rep. 2025 Jan 2;15(1):512. doi: 10.1038/s41598-024-84374-4.
Multiple chronic conditions reduce the quality of life and increase healthcare needs for people with diabetes mellitus (DM). This study aims to describe the prevalence of comorbidities associated with DM in the European Union (EU) at national and sub-national levels and to assess the utility of a comorbidity burden index. The study was carried out using microdata from European Health Interview Survey 2019 including adults aged 25 and older with DM from 26 EU member states (n = 20,042). The comorbidity index was calculated for 9 chronic conditions using the self-rated general health of individuals and disability weights obtained from the Global Burden of Disease 2019. Beta regression analysis was performed to evaluate the association between the comorbidity index and several determinants. A higher comorbidity index was found in sub-populations exhibiting lower education, unemployment or other labour status, lower income, rural residence, and poor health behaviours including obesity, physical inactivity, and poor diet. A higher comorbidity burden was observed in Eastern and Southern European countries and specific subregions within each country. The comorbidity index has the potential to identify regions and subpopulations with the highest disability burden and to help develop interventions to improve the quality of life of people with DM.
多种慢性病会降低糖尿病患者的生活质量，并增加其医疗保健需求。本研究旨在描述欧盟（EU）国家和次国家层面与糖尿病相关的合并症患病率，并评估合并症负担指数的效用。该研究使用了2019年欧洲健康访谈调查的微观数据，包括来自26个欧盟成员国的25岁及以上患有糖尿病的成年人（n = 20,042）。使用个体自评总体健康状况和从《2019年全球疾病负担》获得的残疾权重，计算了9种慢性病的合并症指数。进行了贝塔回归分析，以评估合并症指数与几个决定因素之间的关联。在受教育程度较低、失业或处于其他劳动状态、收入较低、居住在农村以及存在包括肥胖、缺乏身体活动和不良饮食等不良健康行为的亚人群中，发现合并症指数较高。在东欧和南欧国家以及每个国家的特定次区域观察到较高的合并症负担。合并症指数有可能识别出残疾负担最高的地区和亚人群，并有助于制定干预措施以改善糖尿病患者的生活质量。
