Eating rate is a basic determinant of appetite regulation, as people who eat more slowly feel sated earlier and eat less. Without assistance, eating rate is difficult to modify due to its automatic nature. In the current study, participants used an augmented fork that aimed to decelerate their rate of eating. A total of 114 participants were randomly assigned to the Feedback Condition (FC), in which they received vibrotactile feedback from their fork when eating too fast (i.e., taking more than one bite per 10 s), or a Non-Feedback Condition (NFC). Participants in the FC took fewer bites per minute than did those in the NFC. Participants in the FC also had a higher success ratio, indicating that they had significantly more bites outside the designated time interval of 10 s than did participants in the NFC. A slower eating rate, however, did not lead to a significant reduction in the amount of food consumed or level of satiation.These findings indicate that real-time vibrotactile feedback delivered through an augmented fork is capable of reducing eating rate, but there is no evidence from this study that this reduction in eating rate is translated into an increase in satiation or reduction in food consumption. Overall, this study shows that real-time vibrotactile feedback may be a viable tool in interventions that aim to reduce eating rate. The long-term effectiveness of this form of feedback on satiation and food consumption, however, awaits further investigation.
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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.
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IntroductionTo stimulate early recognition and treatment of malnutrition, the Dutch Healthcare Inspectorate obliged all hospitals from 2008–2019 to report the number of malnourished patients with an adequate protein intake on the fourth day of hospital admission. In this article we present results over the past 11 years and discuss success factors and barriers for adequate treatment of malnourished patients in hospitals.MethodsThe annual reports of hospitals on the numbers of patients with a screening result ‘malnourished’ and an adequate protein intake on the fourth day of admission were analysed. Hospitals were categorized based on the percentage of malnourished patients with an adequate protein intake on the fourth day of admission as ‘poor’ (<40% of patients in a hospital achieve an adequate protein intake), ‘moderate’ 40–60% of patients in a hospital achieve an adequate protein intake), and ‘good’ (>60% of patients in a hospital achieve an adequate protein intake). To identify success factors and barriers for adequate treatment and registration of malnourished patients in hospitals, three focus groups were held in June and July 2020. Participants were dietitians and quality employees or nurses who were involved in data collection for malnutrition indicators in their hospitals.ResultsBetween 2008–2019, data were reported of 339,720 malnourished patients. The relative number of patients with adequate intake of protein on the fourth day in hospital ranges from 44%-53% between 2011 and 2019. Before 2013, the number of hospitals that reported data was too small to draw conclusions about results of treatment of malnutrition. Data from 2013 to 2019, show a decline in the number of hospitals with a ‘poor’ score. The number of hospitals with a moderate score increased between 2015 and 2019 and the number of hospitals with a good score remained more or less stable, except for 2018 where more hospitals reached a ‘good’ score. Sixteen professionals from ten different hospitals participated in the focus groups and revealed several determinants of adequate treatment of malnourished patients in hospitals such as awareness, feeling responsible and the need of clear instructions and good collaboration.ConclusionThis inventory of the protein intake of 339,720 hospital malnourished patients over 11 years shows that in one out of five Dutch hospitals >60% of malnourished patients had an adequate protein intake on the fourth day of admission. This shows that meeting protein requirements remains a difficult challenge. Early recognition of malnutrition, optimal multidisciplinary treatment and continuous evaluation is necessary to provide optimal nutritional care in the hospital and beyond.
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While the creation of an energy deficit (ED) is required for weight loss, it is well documented that actual weight loss is generally lower than what expected based on the initially imposed ED, a result of adaptive mechanisms that are oppose to initial ED to result in energy balance at a lower set-point. In addition to leading to plateauing weight loss, these adaptive responses have also been implicated in weight regain and weight cycling (add consequences). Adaptions occur both on the intake side, leading to a hyperphagic state in which food intake is favored (elevated levels of hunger, appetite, cravings etc.), as well as on the expenditure side, as adaptive thermogenesis reduces energy expenditure through compensatory reductions in resting metabolic rate (RMR), non-exercise activity expenditure (NEAT) and the thermic effect of food (TEF). Two strategies that have been utilized to improve weight loss outcomes include increasing dietary protein content and increasing energy flux during weight loss. Preliminary data from our group and others demonstrate that both approaches - especially when combined - have the capacity to reduce the hyperphagic response and attenuate reductions in energy expenditure, thereby minimizing the adaptive mechanisms implicated in plateauing weight loss, weight regain and weight cycling. Past research has largely focused on one specific component of energy balance (e.g. hunger or RMR) rather than assessing the impact of these strategies on all components of energy balance. Given that all components of energy balance are strongly connected with each other and therefore can potentially negate beneficial impacts on one specific component, the primary objective of this application is to use a comprehensive approach that integrates all components of energy balance to quantify the changes in response to a high protein and high energy flux, alone and in combination, during weight loss (Fig 1). Our central hypothesis is that a combination of high protein intake and high energy flux will be most effective at minimizing both metabolic and behavioral adaptations in several components of energy balance such that the hyperphagic state and adaptive thermogenesis are attenuated to lead to superior weight loss results and long-term weight maintenance.