Center for Alcohol and Addiction Studies, School of Public Health, Brown University, Providence, RI 02903, USA.
Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX 77555, USA.
Nutrients. 2021 May 12;13(5):1615. doi: 10.3390/nu13051615.
Few studies assess the malnutrition risk of older Mexican adults because most studies do not assess nutritional status. This study proposes a modified version of the Mini Nutritional Assessment (MNA) to assess the risk of malnutrition among older Mexicans adults in the Mexican Health and Aging Study (MHAS). Data comes from the 2012, 2015, and 2018 waves of the MHAS, a nationally representative study of Mexicans aged 50 and older. The sample included 13,338 participants and a subsample of 1911 with biomarker values. ROC analysis was used to calculate the cut point for malnutrition risk. This cut point was compared to the definition of malnutrition from the ESPEN criteria, BMI, low hemoglobin, or low cholesterol. Logistic regression was used to assess predictors of malnutrition risk. A score of 10 was the optimal cut point for malnutrition risk in the modified MNA. This cut point had high concordance to identify malnutrition risk compared to the ESPEN criteria (97.7%) and had moderate concordance compared to BMI only (78.6%), and the biomarkers of low hemoglobin (56.1%) and low cholesterol (54.1%). Women, those older than 70, those with Seguro Popular health insurance, and those with fair/poor health were more likely to be malnourished. The modified MNA is an important tool to assess malnutrition risk in future studies using MHAS data.
很少有研究评估墨西哥老年人的营养不良风险,因为大多数研究都没有评估营养状况。本研究提出了一种改良的 Mini Nutritional Assessment(MNA),用于评估墨西哥健康与老龄化研究(MHAS)中墨西哥老年人的营养不良风险。数据来自 MHAS 的 2012 年、2015 年和 2018 年的数据,该研究是一项针对 50 岁及以上墨西哥人的全国代表性研究。样本包括 13338 名参与者和一个有生物标志物值的 1911 名参与者的亚样本。ROC 分析用于计算营养不良风险的切点。该切点与 ESPEN 标准、BMI、低血红蛋白或低胆固醇的营养不良定义进行了比较。逻辑回归用于评估营养不良风险的预测因素。改良 MNA 中 10 分是营养不良风险的最佳切点。与 ESPEN 标准相比,该切点在识别营养不良风险方面具有高度一致性(97.7%),与 BMI 相比具有中度一致性(78.6%),与低血红蛋白(56.1%)和低胆固醇(54.1%)的生物标志物相比具有中度一致性。女性、70 岁以上的老年人、拥有 Seguro Popular 医疗保险的老年人和健康状况不佳的老年人更容易出现营养不良。改良 MNA 是使用 MHAS 数据评估未来研究中营养不良风险的重要工具。