P
Philip J. Garry
Researcher at University of New Mexico
Publications - 135
Citations - 16507
Philip J. Garry is an academic researcher from University of New Mexico. The author has contributed to research in topics: Population & Vitamin. The author has an hindex of 50, co-authored 135 publications receiving 15443 citations. Previous affiliations of Philip J. Garry include Ohio State University & Medical College of Wisconsin.
Papers
More filters
Journal ArticleDOI
Epidemiology of Sarcopenia among the Elderly in New Mexico
Richard N. Baumgartner,Kathleen M. Koehler,Dympna Gallagher,Linda J. Romero,Steven B. Heymsfield,Robert Ross,Philip J. Garry,Robert D. Lindeman +7 more
TL;DR: Some of the first estimates of the extent of the public health problem posed by sarcopenia are provided, independent of ethnicity, age, morbidity, obesity, income, and health behaviors.
Journal ArticleDOI
The mini nutritional assessment (MNA) and its use in grading the nutritional state of elderly patients
Bruno Vellas,Yves Guigoz,Yves Guigoz,Philip J. Garry,Fati Nourhashemi,David A. Bennahum,S. Lauque,S. Lauque,J.L. Albarede +8 more
TL;DR: The Mini Nutritional Assessment has recently been designed and validated to provide a single, rapid assessment of nutritional status in elderly patients in outpatient clinics, hospitals, and nursing homes and was found to be predictive of mortality and hospital cost.
Journal ArticleDOI
Assessing the Nutritional Status of the Elderly: the Mini Nutritional Assessment as Part of the Geriatric Evaluation
Journal ArticleDOI
Fear of falling and restriction of mobility in elderly fallers
TL;DR: It is indicated that about one-third of elderly people develop a fear of falling after an incident fall and this issue should be specifically addressed in any rehabilitation programme.
Journal ArticleDOI
One-Leg Balance Is an Important Predictor of Injurious Falls in Older Persons
Bruno Vellas,Sharon J. Wayne,Linda J. Romero,Richard N. Baumgartner,Laurence Z. Rubenstein,Philip J. Garry +5 more
TL;DR: It is found that one‐leg balance is a significant predictor of falls and injurious falls and the number of falls is related to the severity of the injury.