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The association between dietary protein intake, energy intake and physical frailty: results from the Rotterdam Study

机译:膳食蛋白摄入,能量摄入和物理脆弱之间的关联:鹿特丹研究的结果

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Sufficient protein intake has been suggested to be important for preventing physical frailty, but studies show conflicting results which may be explained because not all studies address protein source and intake of other macronutrients and total energy. Therefore, we studied 2504 subjects with data on diet and physical frailty, participating in a large population-based prospective cohort among subjects aged 45+ years (the Rotterdam Study). Dietary intake was assessed with a FFQ. Frailty was defined according to the frailty phenotype as the presence of at least three out of the following five symptoms: weight loss, low physical activity, weakness, slowness and fatigue. We used multinomial logistic regression models to evaluate the independent association between protein intake and frailty using two methods: nutrient residual models and energy decomposition models. With every increase in 10 g total, plant or animal protein per d, the odds to be frail were 1·06 (95 % CI 0·98, 1·15), 0·87 (95 % CI 0·71, 1·07) and 1·07 (95 % CI 0·99, 1·15), respectively, using the nutrient residual method. Using the energy partition model, we observed that the odds to be frail were lower with higher vegetable protein intake (OR per 418·4 kJ (100 kcal): 0·61, 95 % CI 0·39, 0·97), however, results disappeared when adjusting for physical activity. For energy intake from any source we observed that with every 418·4 kJ (100 kcal) increase, the odds to be frail were 5 % lower (OR: 0·95, 95 % CI 0·93, 0·97). Our results suggest that energy intake, but not protein specifically, is associated with less frailty. Considering other macronutrients, physical activity and diet quality seems to be essential for future studies on protein and frailty.
机译:已经提出了足够的蛋白质摄入对预防物理脆弱的重要性,但研究表明可能会解释的矛盾的结果,因为并非所有研究都有地址蛋白质来源和摄入其他常规营养素和总能量。因此,我们研究了2504名受试者的饮食和身体脆弱的数据,参与了45岁以上45岁的受试者(鹿特丹研究)中的大量基于人口的前瞻性队列。用FFQ评估膳食摄入量。脆弱的是根据脆弱的表型定义为在下列五种症状中的至少三种症状的存在:体重减轻,低体育活动,弱点,缓慢和疲劳。我们使用多型逻辑回归模型来评估蛋白质摄入和使用两种方法的独立关联:营养残余模型和能量分解模型。每D总量增加10克,植物或动物蛋白,易用的含量为1·06(95%CI 0·98,1.1·15),0·87(95%CI 0·71,1· 07)和1·07(95%CI 0·99,15),使用营养残留方法。使用能量分区模型,我们观察到,含有更高的植物蛋白摄入量(或每418·4 kJ(100kcal):0·61,95%Ci 0·39,0·97),较低的含量较低。然而,调整身体活动时的结果消失。对于来自任何来源的能量摄入,我们观察到每418·4 kJ(100kcal)增加,脆弱的几率为5%(或:0·95,95%CI 0·93,0·97)。我们的研究结果表明,能量摄入量,但不是蛋白质,与较少的脆弱相关。考虑到其他Macronuriver,身体活动和饮食质量似乎对未来的蛋白质和脆弱的研究至关重要。

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