Stanciu Silviu Marcel, Rusu Emilia, Jinga Mariana, Ursu Cosmin Gabriel, Stanciu Rares Ioan, Miricescu Daniela, Antohi Valentin Marian, Barbu Elena
Department of Internal Medicine and Gastroenterology, Carol Davila University of Medicine and Pharmacy, Central Military Emergency University Hospital, 050474 Bucharest, Romania.
Department of Diabetology, Carol Davila University of Medicine and Pharmacy, Malaxa Clinical Hospital, 050474 Bucharest, Romania.
J Cardiovasc Dev Dis. 2024 Oct 15;11(10):328. doi: 10.3390/jcdd11100328.
Cardiovascular disease is the leading cause of death in the European Union (EU), and while the mortality rates of diabetes, myocardial infarction, and the total fat intake have been extensively studied, we believe that understanding the interaction between such closely correlated determinants is crucial to the development of effective health policies in the EU. Our paper's novelty is represented by the econometric modelling, and its ability to capture both temporal and unit variations. The research methodology consists of using a panel data model with fixed effects for the 27 EU member states over the period 2010-2021. The results of the study show that the standardized mortality rate for deaths preventable by prevention and treatment and diabetes-related mortality are significant predictors of total mortality in the EU. The standardized mortality rate for deaths preventable by prevention and treatment had a significant positive impact, suggesting that improved preventive and therapeutic interventions can significantly reduce total mortality. Diabetes-associated mortality also showed a strong positive correlation with total mortality, emphasizing the need for effective diabetes management and prevention strategies. These results are useful for the formulation of public health strategies aimed at improving life expectancy and reducing the burden of chronic diseases.
心血管疾病是欧盟(EU)的主要死因,虽然糖尿病、心肌梗死和总脂肪摄入量的死亡率已得到广泛研究,但我们认为,了解这些密切相关的决定因素之间的相互作用对于欧盟制定有效的卫生政策至关重要。我们论文的新颖之处在于计量经济学建模及其捕捉时间和单位变化的能力。研究方法包括对2010 - 2021年期间的27个欧盟成员国使用固定效应面板数据模型。研究结果表明,可通过预防和治疗预防的死亡的标准化死亡率以及与糖尿病相关的死亡率是欧盟总死亡率的重要预测指标。可通过预防和治疗预防的死亡的标准化死亡率有显著的正向影响,这表明改进的预防和治疗干预措施可显著降低总死亡率。与糖尿病相关的死亡率也与总死亡率呈现出强烈的正相关,强调了有效管理和预防糖尿病策略的必要性。这些结果对于制定旨在提高预期寿命和减轻慢性病负担的公共卫生策略很有用。