Department of Epidemiology, University Medical Centre, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
VU University Amsterdam, Amsterdam, The Netherlands.
Eur J Nutr. 2018 Oct;57(7):2365-2375. doi: 10.1007/s00394-017-1509-9. Epub 2017 Jul 25.
To determine the associations between a priori and a posteriori derived dietary patterns and a general state of health, measured as the accumulation of deficits in a frailty index.
Cross-sectional and longitudinal analysis embedded in the population-based Rotterdam Study (n = 2632) aged 45 years. Diet was assessed at baseline (year 2006) using food frequency questionnaires. Dietary patterns were defined a priori using an existing index reflecting adherence to national dietary guidelines and a posteriori using principal component analysis. A frailty index was composed of 38 health deficits and measured at baseline and follow-up (4 years later). Linear regression analyses were performed using adherence to each of the dietary patterns as exposure and the frailty index as outcome (all in Z-scores).
Adherence to the national dietary guidelines was associated with lower frailty at baseline (β -0.05, 95% CI -0.08, -0.02). Additionally, high adherence was associated with lower frailty scores over time (β -0.08, 95% CI -0.12, -0.04). The PCA revealed three dietary patterns that we named a "Traditional" pattern, high in legumes, eggs and savory snacks; a "Carnivore" pattern, high in meat and poultry; and a "Health Conscious" pattern, high in whole grain products, vegetables and fruit. In the cross-sectional analyses adherence to these patterns was not associated with frailty. However, adherence to the "Traditional" pattern was associated with less frailty over time (β -0.09, 95% CI -0.14, -0.05).
No associations were found for adherence to a "healthy" pattern or "Carnivore" pattern. However, Even in a population that is relatively young and healthy, adherence to dietary guidelines or adherence to the Traditional pattern could help to prevent, delay or reverse frailty levels.
确定基于先验和后验推导的饮食模式与整体健康状况(以虚弱指数累积缺陷来衡量)之间的关联。
在基于人群的鹿特丹研究(n=2632)中进行横断面和纵向分析,参与者年龄为 45 岁。在基线(2006 年)使用食物频率问卷评估饮食。使用反映对国家饮食指南的依从性的现有指数来预先定义饮食模式,并使用主成分分析来后验定义。虚弱指数由 38 种健康缺陷组成,在基线和随访(4 年后)进行测量。使用对每种饮食模式的依从性作为暴露,将虚弱指数作为结果(均以 Z 分数表示),进行线性回归分析。
对国家饮食指南的依从性与基线时的虚弱程度较低相关(β=-0.05,95%CI-0.08,-0.02)。此外,高依从性与随时间推移的虚弱评分降低相关(β=-0.08,95%CI-0.12,-0.04)。主成分分析揭示了三种饮食模式,我们将其命名为“传统”模式,富含豆类、鸡蛋和咸味小吃;“肉食”模式,富含肉类和家禽;以及“健康意识”模式,富含全谷物产品、蔬菜和水果。在横断面分析中,对这些模式的依从性与虚弱程度无关。然而,对“传统”模式的依从性与随时间推移的虚弱程度降低相关(β=-0.09,95%CI-0.14,-0.05)。
对于健康模式或“肉食”模式的依从性,没有发现关联。然而,即使在相对年轻和健康的人群中,遵循饮食指南或遵循传统模式可能有助于预防、延迟或逆转虚弱程度。