H Keller1, M Laporte2, H Payette3, J Allard4, P Bernier5, D Duerksen6, L Gramlich7, K Jeejeebhoy8. 1. Department of Kinesiology, Schlegel-University of Waterloo Research Institute for Aging, Applied Health Sciences, University of Waterloo, Waterloo, Ontario, Canada. 2. Réseau de santé Vitalité Health Network, Campbellton Regional Hospital, Campbellton, New Brunswick, Canada. 3. Research Centre on Aging, CIUSSS de l'Estrie-CHUS and Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, Canada. 4. Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada. 5. Jewish General Hospital, Montréal, Québec, Canada. 6. Department of Medicine, Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. 7. Department of Medicine, University of Alberta, Alberta Health Services, Edmonton, Alberta, Canada. 8. Department of Medicine, St. Michaels Hospital, University of Toronto, Toronto, Ontario, Canada.
Abstract
BACKGROUND/ OBJECTIVES: Little is known about factors associated with weight change post discharge from hospital; yet poor nutritional status in the transition from hospital to community can result in readmission. This exploratory study aimed to determine the factors associated with weight change 30 days post discharge defined as weight gain (WG; 5+ pounds), weight loss (WL; 5+pounds) or weight stable (WS). SUBJECTS/ METHODS: A total of 922 medical or surgical patients were recruited from 16 acute care hospitals in 8 Canadian provinces. Telephone interviews were completed with 747 (81%) participants 30 days post discharge using a standardized questionnaire that included: self-reported weight change, assessment of appetite, usage of healthcare services and supports for food-related activities of daily living. Covariates collected during hospitalization, including nutritional status at discharge evaluated by subjective global assessment (SGA), were used in logistic regressions. RESULTS: Among the 747 patients, 26% reported WL, 16.7% had WG and 57.2% were WS. Those with WG were: younger (odds ratio (OR) 0.77 (0.69, 0.85)), male (OR 1.71 (1.12, 2.61)), malnourished at discharge (SGA B OR 2.13 (1.36, 3.33), SGA C OR 2.76 (1.19, 6.62)), and had a good appetite based on the low OR for fair/poor appetite (OR 0.28 (0.11, 0.66)). WL was associated with being on a special diet (OR 1.45 (1.07,1.96)) and reporting fair/poor appetite (OR 2.67 (1.76, 4.07)). CONCLUSIONS: Weight change was relatively common with WL predominating. Several variables were identified to be predictors of WL or weight gain, with appetite being common to both. Future work to further define and confirm these associations is warranted.
BACKGROUND/ OBJECTIVES: Little is known about factors associated with weight change post discharge from hospital; yet poor nutritional status in the transition from hospital to community can result in readmission. This exploratory study aimed to determine the factors associated with weight change 30 days post discharge defined as weight gain (WG; 5+ pounds), weight loss (WL; 5+pounds) or weight stable (WS). SUBJECTS/ METHODS: A total of 922 medical or surgical patients were recruited from 16 acute care hospitals in 8 Canadian provinces. Telephone interviews were completed with 747 (81%) participants 30 days post discharge using a standardized questionnaire that included: self-reported weight change, assessment of appetite, usage of healthcare services and supports for food-related activities of daily living. Covariates collected during hospitalization, including nutritional status at discharge evaluated by subjective global assessment (SGA), were used in logistic regressions. RESULTS: Among the 747 patients, 26% reported WL, 16.7% had WG and 57.2% were WS. Those with WG were: younger (odds ratio (OR) 0.77 (0.69, 0.85)), male (OR 1.71 (1.12, 2.61)), malnourished at discharge (SGA B OR 2.13 (1.36, 3.33), SGA C OR 2.76 (1.19, 6.62)), and had a good appetite based on the low OR for fair/poor appetite (OR 0.28 (0.11, 0.66)). WL was associated with being on a special diet (OR 1.45 (1.07,1.96)) and reporting fair/poor appetite (OR 2.67 (1.76, 4.07)). CONCLUSIONS: Weight change was relatively common with WL predominating. Several variables were identified to be predictors of WL or weight gain, with appetite being common to both. Future work to further define and confirm these associations is warranted.
Authors: Karin Schindler; Elisabeth Pernicka; Alessandro Laviano; Pat Howard; Tatjana Schütz; Peter Bauer; Irina Grecu; Cora Jonkers; Jens Kondrup; Olle Ljungqvist; Mohamed Mouhieddine; Claude Pichard; Pierre Singer; Stéphane Schneider; Christian Schuh; Michael Hiesmayr Journal: Clin Nutr Date: 2010-10 Impact factor: 7.324
Authors: Anthony V Perruccio; Elena Losina; Elizabeth A Wright; Jeffrey N Katz Journal: J Gerontol A Biol Sci Med Sci Date: 2012-08-09 Impact factor: 6.053
Authors: A Beck; U T Andersen; E Leedo; L L Jensen; K Martins; M Quvang; K Ø Rask; A Vedelspang; F Rønholt Journal: Clin Rehabil Date: 2014-12-31 Impact factor: 3.477
Authors: Anita A Vashi; Justin P Fox; Brendan G Carr; Gail D'Onofrio; Jesse M Pines; Joseph S Ross; Cary P Gross Journal: JAMA Date: 2013-01-23 Impact factor: 56.272
Authors: Nicolaas E Deutz; Eric M Matheson; Laura E Matarese; Menghua Luo; Geraldine E Baggs; Jeffrey L Nelson; Refaat A Hegazi; Kelly A Tappenden; Thomas R Ziegler Journal: Clin Nutr Date: 2016-01-18 Impact factor: 7.324
Authors: Bianka Saravana-Bawan; Lindsey M Warkentin; Arto Ohinmaa; Adrian S Wagg; Jayna Holroyd-Leduc; Raj S Padwal; Fiona Clement; Rachel G Khadaroo Journal: Ann Med Surg (Lond) Date: 2021-04-29
Authors: Brett R Loman; Menghua Luo; Geraldine E Baggs; Diane C Mitchell; Jeffrey L Nelson; Thomas R Ziegler; Nicolaas E Deutz; Laura E Matarese Journal: JPEN J Parenter Enteral Nutr Date: 2018-11-22 Impact factor: 4.016