Nygård Linda Kornstad, Dahl Lisbeth, Mundal Ingunn, Šaltytė Benth Jūratė, Rokstad Anne Marie Mork
Faculty of Health Sciences and Social Care, Molde University College, P.O. Box 2110, 6402 Molde, Norway.
Institute of Marine Research (IMR), P.O. Box 1870 Nordnes, 5817 Bergen, Norway.
Geriatrics (Basel). 2020 Dec 3;5(4):100. doi: 10.3390/geriatrics5040100.
Protein intake is considered important in the maintenance of muscle health in ageing. However, both the source and mealtime distribution of protein might affect the intake of protein and its effect on muscle protein synthesis. In this study, protein intake, mealtime distribution of protein, and seafood consumption were assessed in 92 older adults (aged 65+), and associations with physical performance (Short Physical Performance Battery (SPPB)), grip strength and gait speed were assessed in a multiple linear regression analysis. The participants had a mean age of 73 ± 8.9 years. Mean protein intake was 1.1 g/kg body weight. Protein intake was well distributed, with coefficient of variance between meals (CV meals) 0.6 ± 0.3. However, dinner had the highest protein intake. No associations were found between the nutrition factors and physical performance or strength; however, this result might have been caused by a ceiling effect in the chosen test batteries, as the mean score on SPPB was 10.3 ± 2.7, and 48.9% of the participants reached the top score of 12 points. Mean grip strength was 44.4 ± 9.4 kg (men) and 26.2 ± 6.8 kg (women). Mean gait speed was 1.0 ± 0.3 m/s. The interaction analysis suggests that there might be gender differences in the effect of seafood consumption on gait speed.
蛋白质摄入被认为对维持老年人的肌肉健康很重要。然而，蛋白质的来源和用餐时间分布可能会影响蛋白质的摄入量及其对肌肉蛋白质合成的影响。在本研究中，对92名65岁及以上的老年人评估了蛋白质摄入量、蛋白质用餐时间分布和海鲜消费量，并在多元线性回归分析中评估了它们与身体机能（简短身体机能测试电池（SPPB））、握力和步速的关联。参与者的平均年龄为73±8.9岁。平均蛋白质摄入量为1.1克/千克体重。蛋白质摄入分布良好，餐间变异系数（CV餐）为0.6±0.3。然而，晚餐的蛋白质摄入量最高。未发现营养因素与身体机能或力量之间存在关联；然而，这一结果可能是由于所选测试电池中的天花板效应所致，因为SPPB的平均得分为10.3±2.7，且48.9%的参与者达到了12分的最高分。平均握力为44.4±9.4千克（男性）和26.2±6.8千克（女性）。平均步速为1.0±0.3米/秒。交互分析表明，海鲜消费对步速的影响可能存在性别差异。
