title: Changes in type of foodservice and dining room environment preferentially benefit institutionalized seniors with low body mass indexes.
abstract: OBJECTIVE
  To compare energy intakes in seniors with cognitive impairment residing in long-term care and receiving meals by bulk (cafeteria style with waitress service) vs traditional tray delivery systems and determine subject characteristics that identify responsiveness to type of foodservice provided. DESIGN AND SUBJECTS/SETTING: Usual energy intakes were compared in subjects residing in cognitive impairment units in either the old (tray delivery, n=23) or new (bulk delivery, n=26) nursing home at Baycrest, a teaching facility associated with University of Toronto Medical School.
  
  
  METHODS
  Changes to foodservice and physical environment (from institutional to more home-like environment).
  
  
  METHODS
  Twenty-one consecutive day investigator-weighed energy and macronutrient intakes and behavioral function (London Psychogeriatric Rating Scale).
  
  
  METHODS
  Analysis of variance determined mean differences in intake and regression analyses identified predictors of sensitivity to type of food delivery systems.
  
  
  RESULTS
  Higher 24-hour total (P<0.001) and dinner (P<0.001) energy intakes in subjects receiving bulk compared to tray delivery were predominantly associated with greater carbohydrate intakes (P<0.001). Higher energy, carbohydrate, and protein, but not fat intakes, with bulk delivery were more apparent in individuals with lower body mass indexes (BMIs) (food delivery by BMI interaction, all P values <0.05).
  
  
  CONCLUSIONS
  High-risk, cognitively impaired individuals with low BMI benefited the most from the changed foodservice and physical environment, whereas individuals with higher BMIs did not show substantive changes in intake. Bulk foodservice and a home-like dining environment optimize energy intake in individuals at high risk for malnutrition, particularly those with low BMIs and cognitive impairment.
authors.affiliation: Kunin-Lunenfeld Applied Research Unit, Baycrest, North York, Ontario, Canada.
authors.forename: Jyotika
authors.initials: J
authors.lastname: Desai
authors.forename: Aaron
authors.initials: A
authors.lastname: Winter
authors.forename: Karen W H
authors.initials: KW
authors.lastname: Young
authors.forename: Carol E
authors.initials: CE
authors.lastname: Greenwood
mesh_terms: D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology* / Q000523:psychology; D000704:Analysis of Variance; D015992:Body Mass Index; D003072:Cognition Disorders / Q000150:complications / Q000523:psychology; D004040:Dietary Carbohydrates / Q000008:administration & dosage; D004041:Dietary Fats / Q000008:administration & dosage; D004044:Dietary Proteins / Q000008:administration & dosage; D002149:Energy Intake / Q000502:physiology*; D004777:Environment; D005247:Feeding Behavior; D005260:Female; D005522:Food Services / Q000592:standards*; D006707:Homes for the Aged; D006801:Humans; D007326:Institutionalization; D008297:Male; D009751:Nutritional Requirements; D009752:Nutritional Status; D012044:Regression Analysis
chemical_list: D004040:Dietary Carbohydrates; D004041:Dietary Fats; D004044:Dietary Proteins