Mazza Elisa, Fava Antonietta, Ferro Yvelise, Moraca Marta, Rotundo Stefania, Colica Carmela, Provenzano Francesco, Terracciano Rosa, Greco Marta, Foti Daniela, Gulletta Elio, Russo Diego, Bosco Domenico, Pujia Arturo, Montalcini Tiziana
Department of Clinical and Experimental Medicine, Nutrition Unit, University Magna Grecia, Viale S. Venuta, 88100, Catanzaro, Italy.
Department of Medical and Surgical Science, Nutrition Unit, University Magna Grecia, Catanzaro, Italy.
J Transl Med. 2017 May 22;15(1):109. doi: 10.1186/s12967-017-1209-5.
Numerous studies have investigated the role of the dietary factors in the prevention of cognitive decline but the short-term effects of foods choice on cognitive performances in the elderly are poorly explored. Our aim was to investigate the choice of foods among elderly Italian individuals and the association with cognitive function.
In this longitudinal study, the participants were 214 individuals aged ≥65 years with a score >20 at the Mini Mental State Examination. The cognitive sub-test of ADAScale was used to detect cognitive decline progression over 12 months. Food choices was measured by a combination of a 24-h recall and a seven-day diet record and Principal Components Analysis.
The Principal Components Analysis identified four food and four nutrient patterns. MMSE and ADAS-cog score after 1 year were found to be associated with legumes pattern (B = 0.25, p = 0.007; 95% CI 0.07/0.44; and B = -0.10, p = 0.006; CI -0.79/-0.30, respectively). A dietary pattern including plant proteins was independently associated with an improved ADAS-cog after 1 year (B = 0.584, p = 0.04; OR 1.79, CI 0.04-0.42).
The Principal Components Analysis is useful to investigate the choice of foods and nutrients in the elderly. We demonstrated an association between legumes pattern with cognitive performances.
众多研究调查了饮食因素在预防认知能力下降中的作用,但食物选择对老年人认知表现的短期影响鲜有探讨。我们的目的是调查意大利老年人的食物选择及其与认知功能的关联。
在这项纵向研究中,参与者为214名年龄≥65岁、简易精神状态检查表得分>20的个体。采用ADAScale认知子测试来检测12个月内的认知衰退进展情况。通过24小时回忆法和7天饮食记录相结合以及主成分分析来衡量食物选择。
主成分分析确定了四种食物模式和四种营养模式。发现1年后的MMSE和ADAS - cog得分与豆类模式相关(B = 0.25,p = 0.007;95%可信区间0.07/0.44;以及B = -0.10,p = 0.006;可信区间分别为-0.79/-0.30)。一种包括植物蛋白的饮食模式在1年后与ADAS - cog改善独立相关(B = 0.584,p = 0.04;比值比1.79,可信区间0.04 - 0.42)。
主成分分析有助于调查老年人的食物和营养选择。我们证明了豆类模式与认知表现之间的关联。