biostudies-literatureKrok-Schoen JLNCATS NIH HHSNIA NIH HHSNIDDK NIH HHS338-347https://www.ebi.ac.uk/biostudies/studies/S-EPMC6507527biostudies-literatureUnknown23(4)OBJECTIVE:To investigate protein intakes across demographic characteristics in relation to dietary patterns and functional outcomes in older adults. DESIGN:Observational and cross-sectional study. SETTING:Non-institutionalized participants from the 2005-2014 National Health and Nutrition Examination Survey. PARTICIPANTS:Data from 11,680 adults were categorized into 51-60 years (n= 4,016), 61-70 years (n=3,854), and 71 years and older (n=3,810) for analysis. MEASUREMENTS:Adults were stratified by meeting or not meeting the protein recommendation (0.8 g/kg/d) to compare demographics, diet quality with Healthy Eating Index-2015, functional limitations, and other dietary intakes. Dietary recalls were collected using the multiple pass method. Data analyses were weighted to create a nationally-rThe journal of nutrition, health & agingLow Dietary Protein Intakes and Associated Dietary Patterns and Functional Limitations in an Aging Population: A NHANES analysis.PMC6507527P30 DK046200UL1 TR001102UL1 TR001430P30 AG031679R01 AG037547Archdeacon Price ALuo MKrok-Schoen JLKelly OJTaylor CAfalseLow Dietary Protein Intakes and Associated Dietary Patterns and Functional Limitations in an Aging Population: A NHANES analysis.OBJECTIVE:To investigate protein intakes across demographic characteristics in relation to dietary patterns and functional outcomes in older adults. DESIGN:Observational and cross-sectional study. SETTING:Non-institutionalized participants from the 2005-2014 National Health and Nutrition Examination Survey. PARTICIPANTS:Data from 11,680 adults were categorized into 51-60 years (n= 4,016), 61-70 years (n=3,854), and 71 years and older (n=3,810) for analysis. MEASUREMENTS:Adults were stratified by meeting or not meeting the protein recommendation (0.8 g/kg/d) to compare demographics, diet quality with Healthy Eating Index-2015, functional limitations, and other dietary intakes. Dietary recalls were collected using the multiple pass method. Data analyses were weighted to create a nationally-r2019-01-01T00:00:00Z20192025-04-21T17:21:53.976Z2019-06-06T23:29:07ZS-EPMC65075273093213210.1007/s12603-019-1174-1