BACKGROUND: An early return to normal intake and early mobilization enhances postoperative recovery. However, one out of six surgical patients is undernourished during hospitalization and approximately half of the patients eat 50% or less of the food provided to them. We assessed the use of newly introduced breakfast buffets in two wards for gastrointestinal and oncological surgery and determined the impact on postoperative protein and energy intake.METHODS: A prospective pilot cohort study was conducted to assess the impact of the introduction of breakfast buffets in two surgical wards. Adult patients had the opportunity to choose between an attractive breakfast buffet and regular bedside breakfast service. Primary outcomes were protein and energy intake during breakfast. We asked patients to report the type of breakfast service and breakfast intake in a diary over a seven-day period. Prognostic factors were used during multivariable regression analysis.RESULTS: A total of 77 patients were included. The median percentage of buffet use per patient during the seven-day study period was 50% (IQR 0-83). Mean protein intake was 14.7 g (SD 8.4) and mean energy intake 332.3 kcal (SD 156.9). Predictors for higher protein intake included the use of the breakfast buffet (β = 0.06, p = 0.01) and patient weight (β = 0.13, p = 0.01). Both use of the breakfast buffet (β = 1.00, p = 0.02) and Delirium Observation Scale scores (β = -246.29, p = 0.02) were related to higher energy intake.CONCLUSION: Introduction of a breakfast buffet on a surgical ward was associated with higher protein and energy intake and it could be a promising approach to optimizing such intake in surgical patients. Large, prospective and preferably randomized studies should confirm these findings.
Background: A protein intake of 30‐40 g per meal is suggested to maximally stimulate muscle protein synthesis in older adults and could therefore contribute to the prevention of sarcopenia. Protein intake at breakfast and lunch is often low and offers a great opportunity to improve daily protein intake. Protein, however, is known for its satiating effects. Therefore, we explored the association between the amount of protein intake at breakfast and lunch and total daily protein intake in older adults.Methods: Protein intake was assessed by a 3‐day food record in 498 community dwelling older adults (≥55 years) participating different lifestyle interventions. Linear mixed model analysis was used to examine the association between protein intake at breakfast or lunch and total daily protein intake, adjusted for sex, age, body mass index, smoking status, study and total energy intake.Results: After adjustment for potential confounders, a 10 g higher protein intake at breakfast was associated with a 3.2 g higher total daily protein intake (P = 0.008) for males and a 4.9 g (P < 0.001) higher total daily protein intake for females. A 10 g higher protein intake at lunch was associated with a 3.7 g higher total daily protein intake (P < 0.001) for males, and a 5.8 g higher total daily protein intake (P < 0.001) for females.Conclusions: A higher protein intake at breakfast and lunch is associated with a higher total daily protein intake in community dwelling older adults. Stimulating a higher protein intake at breakfast and lunch might represent a promising nutritional strategy to optimise the amount of protein per meal without compromising total daily protein intake.
Introduction: A protein intake of 25–30 g per meal is suggested to maximally stimulate muscle protein synthesis in older adults in order to prevent sarcopenia. Protein intake at breakfast is often low and therefore breakfast offers the potential for protein suppletion. Since protein is known for its satiating effects, we explored the association between the amount of protein intake at breakfast and total daily protein intake in older adults. Methods: Baseline protein intake was assessed by a 3-day dietary record in 507 community dwelling older adults of 55 years and older participating in lifestyle interventions at the Amsterdam Nutritional Assessment Center. Multiple linear regression analysis was used to examine the association between protein intake at breakfast (in g) and total daily protein intake (in g, and g/kg body weight), adjusted for energy intake (kcal/d), sex, age and BMI. Interactions were tested for sex, age and BMI but were not significant (p>0.80). Results: Mean age was 67.6 ± (SD) 7.3 years, 42% was female, and mean BMI was 30.0 ± 5.6 kg/m2. Total daily protein intake was 81 ± 24 g which equals 0.96 ± 0.3 g/kg and 17.6 ± 3.7 percent of total energy intake. Protein intake at breakfast was 14 ± 7 g. A 10 g higher protein intake at breakfast was associated with a 6.7 g (SE = 1.0; P<0.001) and a 0.06 g/kg (SE = 0.01; P<0.001) higher total daily protein intake after adjustment for confounders. Key conclusions: A higher protein intake at breakfast does not compromise total daily protein intake in community dwelling older adults.
