<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Susan B Roberts</style></author><author><style face="normal" font="default" size="100%">Cheryl L Hajduk</style></author><author><style face="normal" font="default" size="100%">Nancy C Howarth</style></author><author><style face="normal" font="default" size="100%">Robert M Russell</style></author><author><style face="normal" font="default" size="100%">Megan A {McCrory}</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Dietary variety predicts low body mass index and inadequate macronutrient and micronutrient intakes in community-dwelling older adults</style></title><secondary-title><style face="normal" font="default" size="100%">The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Analysis of Variance</style></keyword><keyword><style  face="normal" font="default" size="100%">Body Mass Index</style></keyword><keyword><style  face="normal" font="default" size="100%">diet</style></keyword><keyword><style  face="normal" font="default" size="100%">Dietary Supplements</style></keyword><keyword><style  face="normal" font="default" size="100%">Energy Intake</style></keyword><keyword><style  face="normal" font="default" size="100%">Energy Metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Geriatric Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Macrobiotic</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Micronutrients</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Nutritional Status</style></keyword><keyword><style  face="normal" font="default" size="100%">Predictive Value of Tests</style></keyword><keyword><style  face="normal" font="default" size="100%">Probability</style></keyword><keyword><style  face="normal" font="default" size="100%">Residence Characteristics</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Survival Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Weight Loss</style></keyword><keyword><style  face="normal" font="default" size="100%">{Cross-Sectional} Studies</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2005</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/15972614</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">5</style></number><volume><style face="normal" font="default" size="100%">60</style></volume><pages><style face="normal" font="default" size="100%">613–621</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">BACKGROUND Low body mass index (BMI) and micronutrient deficiencies are associated with increased morbidity and mortality rates in old age. Whether adverse patterns of dietary variety predict both low BMI and low micronutrient intakes in older adults was investigated. 
METHODS A cross-sectional analysis of national survey data was conducted in 1174 healthy adult men and women (ages 21 to 90 years) who provided physiologically plausible dietary data in the 1994-1996 Continuing Survey of Food Intakes by Individuals. Measurements included reported energy intake, protein intake (percentage meeting Recommended Dietary Allowance), micronutrient intakes (percentage meeting Estimated Average Requirements for 14 micronutrients), and BMI. 
RESULTS Adults who were 61 years or older consumed a greater total variety of foods, chose foods from a wider range of food groups, had a greater variety of micronutrient-dense foods and energy-weak foods, and had a lower variety of micronutrient-weak foods compared with adults ages 21 to 60 years (p &lt; .05 to.001). However, older adults with low BMIs (&lt; 22 kg/m2) consumed a lower variety of energy-dense foods compared with older adults with higher BMIs (p &lt; .05). The variety of energy-dense foods predicted both energy intake and BMI at all ages in multiple regression models controlling for confounding variables (R2} = .124 for energy</style></abstract><notes><style face="normal" font="default" size="100%">{PMID:} 15972614</style></notes></record></records></xml>