Associations of Global Burden of Diseases study-derived dietary scores with mortality and chronic disease risk: a comprehensive analysis from the prospective NutriNet-Santé study

IF 5.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH European Journal of Epidemiology Pub Date : 2025-01-24 DOI:10.1007/s10654-024-01196-4
Emmanuelle Kesse-Guyot, Julia Baudry, Justine Berlivet, Elie Perraud, Benjamin Allès, Chantal Julia, Léopold K. Fezeu, Serge Hercberg, François Mariotti, Mathilde Touvier, Hélène Fouillet
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Abstract

The Global Burden of Diseases (GBD) network has proposed theoretical minimum risk exposure level (TMREL) for leading risk factors associated with diet that minimize the risk of morbimortality from chronic diseases. TMREL can be applied to develop follow-up or evaluation indicators in individual studies. The validity of these scores can be tested by assessing associations with health outcomes in prospective cohorts. In this study conducted within the NutriNet-Santé cohort, four dietary scores (TMREL-Risk Score, TMREL-Probability of adequacy, TMREL-standardized distance, and TMREL dietary score) using different scoring methods were developed, with higher scores reflecting less healthy diets. Associations of these scores with the risk of type 2 diabetes, cancer, cardiovascular diseases (CVD) and mortality were estimated using multivariable Cox proportional hazards models, adjusted for a wide range of covariates. Counterfactual and marginal structural models were used to infer causality. Analyses were conducted in a sample of up to103,324 participants ((78.3% women, mean age of 43.6 years old (y) (SD = 14.6)), followed for a median of 8.47 (IQR = 14.7) years (2009–2024). The association with dietary scores (for 1SD-increase) varied in magnitude for each health outcome. For mortality, HR varied from 1.12 (95%CI = 1.07–1.18, ) to 1.18 (95%CI = 1.12–1.24) for TMREL-Stdis and TMREL-DI, for overall cancer from 1.07 (95%CI = 1.03–1.12) to 1.09 (1.04–1.13) for TMREL-RS and TMREL-PA, for CVD from 1.07 (95%CI = 1.00-1.16) to 1.12 (95%CI = 1.04–1.20) for TMREL-PA and TMREL-RS, and for type 2 diabetes from 1.33 (95%CI = 1.23–1.43) to 1.47 (95%CI = 1.36–1.59) for TMREL-DI and TMREL-PA. Marginal structural Cox models strengthened all associations compared to classical analyses. Standardized survival curves showed clear associations, especially for the risk of cancer and type 2 diabetes. Dietary scores based on GBD TMREL can serve as key indicators for characterizing diet quality in relation to long-term health, and using different scoring systems helped evaluate the robustness of these associations.

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全球疾病负担研究得出的饮食评分与死亡率和慢性病风险的关联:来自前瞻性nutrinet - sant研究的综合分析
全球疾病负担(GBD)网络提出了与饮食相关的主要风险因素的理论最低风险暴露水平(TMREL),以最大限度地降低慢性病的发病死亡率。TMREL可用于制定个别研究的随访或评价指标。这些评分的有效性可以通过评估与前瞻性队列健康结果的关联来检验。在nutrinet - sant队列研究中,采用不同的评分方法制定了四种饮食评分(TMREL- risk Score、TMREL- probability of充足性、TMREL-标准化距离和TMREL饮食评分),得分越高反映饮食越不健康。这些评分与2型糖尿病、癌症、心血管疾病(CVD)和死亡率的相关性使用多变量Cox比例风险模型进行了估计,并对大量协变量进行了调整。反事实和边际结构模型被用来推断因果关系。对103,324名参与者(78.3%为女性,平均年龄43.6岁(SD = 14.6))的样本进行了分析,随访的中位数为8.47 (IQR = 14.7)岁(2009-2024)。每个健康结果与饮食评分(1sd增加)的关联程度各不相同。对于死亡率,TMREL-Stdis和TMREL-DI的死亡率从1.12 (95%CI = 1.07 - 1.18)到1.18 (95%CI = 1.12 - 1.24)不等,TMREL-RS和TMREL-PA的总癌症死亡率从1.07 (95%CI = 1.03-1.12)到1.09(1.04-1.13)不等,TMREL-PA和TMREL-RS的心血管疾病死亡率从1.07 (95%CI = 1.00-1.16)到1.12 (95%CI = 1.04-1.20)不等,TMREL-DI和TMREL-PA的2型糖尿病死亡率从1.33 (95%CI = 1.23-1.43)到1.47 (95%CI = 1.36-1.59)不等。与经典分析相比,边际结构Cox模型强化了所有关联。标准化生存曲线显示出明显的相关性,尤其是癌症和2型糖尿病的风险。基于GBD TMREL的饮食评分可以作为表征饮食质量与长期健康相关的关键指标,使用不同的评分系统有助于评估这些关联的稳健性。
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来源期刊
European Journal of Epidemiology
European Journal of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
21.40
自引率
1.50%
发文量
109
审稿时长
6-12 weeks
期刊介绍: The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.
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