Huang R.-Y.KUEN-CHEH YANGHAO-HSIANG CHANGLee L.-T.CHIA-WEN LUKUO-CHIN HUANG2021-04-282021-04-2820162072-6643https://www.scopus.com/inward/record.uri?eid=2-s2.0-84975149914&doi=10.3390%2fnu8060373&partnerID=40&md5=bf4c1f89960b0a0cb2d5af193b366d0chttps://scholars.lib.ntu.edu.tw/handle/123456789/558028Sarcopenia, highly linked with fall, frailty, and disease burden, is an emerging problem in aging society. Higher protein intake has been suggested to maintain nitrogen balance. Our objective was to investigate whether pre-sarcopenia status was associated with lower protein intake. A total of 327 community-dwelling elderly people were recruited for a cross-sectional study. We adopted the multivariate nutrient density model to identify associations between low muscle mass and dietary protein intake. The general linear regression models were applied to estimate skeletal muscle mass index across the quartiles of total protein and vegetable protein density. Participants with diets in the lowest quartile of total protein density (<13.2%) were at a higher risk for low muscle mass (odds ratio (OR) 3.03, 95% confidence interval (CI) 1.37-6.72) than those with diets in the highest quartile (?17.2%). Similarly, participants with diets in the lowest quartile of vegetable protein density (<5.8%) were at a higher risk for low muscle mass (OR 2.34, 95% CI 1.14-4.83) than those with diets in the highest quartile (?9.4%). Furthermore, the estimated skeletal muscle mass index increased significantly across the quartiles of total protein density (p = 0.023) and vegetable protein density (p = 0.025). Increasing daily intakes of total protein and vegetable protein densities appears to confer protection against pre-sarcopenia status. ? 2016 by the authors; licensee MDPI, Basel, Switzerland.[SDGs]SDG2[SDGs]SDG3[SDGs]SDG5albumin; hemoglobin; high density lipoprotein cholesterol; low density lipoprotein cholesterol; triacylglycerol; vegetable protein; biological marker; carbohydrate diet; hemoglobin; plant protein; protein intake; serum albumin; trace element; adult; aged; aging; Article; body composition; controlled study; cross-sectional study; demography; dietary intake; elderly care; falling; female; food frequency questionnaire; human; lifestyle modification; lymphocyte; male; muscle mass; nitrogen balance; nutritional assessment; protein intake; sarcopenia; skeletal muscle; Taiwan; vegetable; administration and dosage; aging; blood; body mass; caloric intake; carbohydrate diet; diet; history; impedance; lifestyle; metabolism; multivariate analysis; physiology; protein intake; sarcopenia; statistical model; very elderly; Aged; Aged, 80 and over; Aging; Biomarkers; Body Composition; Body Mass Index; Cross-Sectional Studies; Diet; Dietary Carbohydrates; Dietary Proteins; Electric Impedance; Energy Intake; Female; Hemoglobins; History, 17th Century; Humans; Life Style; Linear Models; Logistic Models; Lymphocytes; Male; Micronutrients; Multivariate Analysis; Muscle, Skeletal; Nutrition Assessment; Sarcopenia; Serum Albumin; Taiwan; Vegetable Proteinsjournal article10.3390/nu8060373273223172-s2.0-84975149914