Suppr超能文献

在意大利,可重复的饮食模式是否始终与疾病结局或其驱动因素相关?一项系统综述。

Are Reproducible Dietary Patterns Consistently Associated With Disease Outcomes or Their Drivers in Italy? A Systematic Review.

作者信息

Bianco Rachele, Ferraroni Monica, Speciani Michela C, Parpinel Maria, Edefonti Valeria

机构信息

Department of Medicine-DMED, Università degli Studi di Udine, Udine, Italy.

Branch of Medical Statistics, Biometry and Epidemiology 'G. A. Maccacaro,' Department of Clinical Sciences and Community Health Dipartimento di Eccellenza 2023-2027, Università degli Studi di Milano, Milano, Italy; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.

出版信息

Adv Nutr. 2025 Apr;16(4):100397. doi: 10.1016/j.advnut.2025.100397. Epub 2025 Feb 27.

Abstract

The strength, direction, and trend of associations between specific diseases and reproducible a posteriori dietary patterns (DPs) based on principal component analysis (PCA) or exploratory factor analysis (EFA) have rarely been investigated across populations. We conducted a systematic review of PCA/EFA-based DPs identified in Italy to explore 2 methodological issues: 1) cross-study reproducibility of Italian DPs; 2) consistency of associations between reproducible DPs and the same/similar disease outcomes/DP drivers/correlates. The systematic review process and findings on DP cross-study reproducibility were published separately. This paper focuses on associations, summarizing the data in figures and tables, with post-hoc criteria for similarity among target variables, statistical methods, and adjustment for confounding. Predefined rules of inference were used to evaluate selected Hill's causal criteria (consistency, strength, and dose-response effects) and draw valid scientific conclusions on the association between PCA/EFA-based DPs and similar/the same target variables. Fifty-two articles, primarily on EFA-based DPs derived from food frequency questionnaires, were included. Regression models were used to explore the relationships between DPs and disease outcomes/DP drivers, aligning with original research questions, study designs, and literature on confounding. When considering similar target variables, 9 groups of reproducible DPs showed >50% statistically significant associations in the same direction across 1-3 groups of target variables, such as socioeconomic characteristics, incidence of chronic diseases, overall/cause-specific mortality, cardiovascular disease risk factors, pregnancy/breastfeeding-related and elderly-related outcomes. Groups targeting dairies/sweets and vegetable sources of fats showed >50% nonsignificant findings across all similar target variables. Overall, 54% of findings were nonsignificant. When considering the same target variable, the median number of DPs per group was equal to 2 (interquartile range: 2-2.5). Together with population comparability issues, this prevented us from reliably performing any meta-analyses. At this stage, valid scientific conclusions cannot be drawn to inform Italian nutritional recommendations. This study was registered at PROSPERO as registration number CRD42022341037.

摘要

基于主成分分析(PCA)或探索性因子分析(EFA)的特定疾病与可重复的事后饮食模式(DPs)之间关联的强度、方向和趋势,在不同人群中很少被研究。我们对意大利确定的基于PCA/EFA的DPs进行了系统评价,以探讨两个方法学问题:1)意大利DPs的跨研究可重复性;2)可重复的DPs与相同/相似疾病结局/DP驱动因素/相关因素之间关联的一致性。关于DP跨研究可重复性的系统评价过程和结果已单独发表。本文重点关注关联,以图表形式总结数据,并给出目标变量相似性的事后标准、统计方法以及混杂因素调整。使用预定义的推理规则来评估选定的希尔因果标准(一致性、强度和剂量反应效应),并就基于PCA/EFA的DPs与相似/相同目标变量之间的关联得出有效的科学结论。纳入了52篇文章,主要是关于从食物频率问卷得出的基于EFA的DPs。使用回归模型来探索DPs与疾病结局/DP驱动因素之间的关系,与原始研究问题、研究设计以及关于混杂因素的文献一致。当考虑相似目标变量时,9组可重复的DPs在1 - 3组目标变量中显示出>50%的统计学显著关联,方向相同,如社会经济特征、慢性病发病率、全因/特定病因死亡率、心血管疾病危险因素、妊娠/母乳喂养相关和老年相关结局。针对乳制品/甜食和植物性脂肪来源的组在所有相似目标变量中显示出>50%的非显著结果。总体而言,54%的结果不显著。当考虑相同目标变量时,每组DPs的中位数为2(四分位间距:2 - 2.5)。连同人群可比性问题,这使得我们无法可靠地进行任何荟萃分析。在这个阶段,无法得出有效的科学结论来为意大利的营养建议提供依据。本研究在PROSPERO注册,注册号为CRD42022341037。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c314/11979479/5f73d245667e/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验