Description and evaluation of a Newton-based electronic appetite rating system for temporal tracking of appetite in human subjects

Stubbs, R. James; Hughes, Dean; Johnstone, Alexandra M.; Rowley, Edel; Ferris, S. W.; Elia, Marinos; Stratton, Rebecca J.; King, Neil; Blundell, John

doi:10.1016/s0031-9384(00)00440-6

Cited by 30 publications

(25 citation statements)

References 7 publications

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“…The evaluation of these subjective variables such as pain or appetite was traditionally conducted through VAS and data were collected with the use of classical paper and pen (P-P) (9). However, several authors have previously pointed several drawbacks of this methodology.…”

Section: Discussionmentioning

confidence: 99%

“…Sample size was estimated according to the variance observed in previous works (8,9). A minimum sample size of 12 subjects was estimated.…”

Section: Designmentioning

confidence: 99%

“…Classical pen and paper (P-P) method consists on a visual analogue scale (VAS) of 100 mm of length (9). The new application (Dietavisa © ) was presented in a BQ Aquarius 5 smartphone (supplemental data 1; http://www.nutricionhospitalaria.…”

Section: Subjective Appetite Scoresmentioning

confidence: 99%

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Desarrollo y validación de una aplicación para smartphones para analizar variables subjetivas de apetito

2016

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Appetite. Electronic health record. Smartphone. Feeding behavior. Palabras clave:Apetito. Registro electrónico. Smartphone. Comportamiento alimentario. ResumenIntroducción: actualmente el tratamiento dietético de la obesidad no suele ser efectivo en muchos casos, probablemente porque se diseña fundamentalmente teniendo en cuenta el gasto energético mientras que otros aspectos relevantes, como los ritmos de hambre/saciedad, apenas son considerados. Los nuevos dispositivos móviles (smartphones) podrían ayudar a este respecto. Objetivo: desarrollar una aplicación para smartphones con el fin de analizar variables subjetivas relacionadas con el apetito de forma precisa y fiable. Métodos: se analizaron las sensaciones subjetivas de apetito de 15 voluntarios sanos mediante dos métodos: papel-lápiz (P-P) y una nueva aplicación para smartphones. Las sensaciones de apetito se analizaron cada 30 minutos durante 4 horas en dos situaciones: desayuno alto en carbohidratos (HC) y alto en grasas (HF). Además, los sujetos completaron la aplicación cada 30 minutos en condiciones ambientales. Resultados: los datos derivados del ANOVA indican que no existieron diferencias respecto al método (P-P vs. aplicación) o comida (HC vs. HF) (p > 0.05) para las puntuaciones de hambre, deseo de comer y saciedad. Los coeficientes de regresión mostraron una elevada concordancia (R 2 : 0.94-0.98). El test de Bland-Altman también reveló una alta reciprocidad entre ambos métodos. Además, la aplicación fue capaz de medir las variaciones subjetivas de apetito en condiciones ambientales. Conclusión: la aplicación para smartphones fue capaz de determinar de forma fiable y precisa las variables subjetivas de apetito tanto en condiciones de laboratorio como ambientales, lo que confirma la idoneidad de esta aplicación para llevar a cabo futuros estudios en los que se evalúe la regulación del apetito en humanos. AbstractIntroduction: Nowadays dietary treatment for obesity is not effective in most cases, probably because it is designed taking into account patient's total energy expenditure while other important circumstances such as hunger/satiety daily rhythms are usually not considered. New electronic devices may help in this regard. Objective: The objective of the present work was to develop an accurate and reliable smartphone application to analyze subjective appetite variables. Methods: Subjective appetite sensations were evaluated in 15 healthy volunteers by two different methods: paper and pen (P-P) and a new Android and iOS application. Appetite scores were completed every 30 minutes for 4 hours in two conditions: high-carbohydrate (HC) or high-fat (HF) breakfast. Secondly, subjects completed the new application every 30 minutes in free-living conditions. Results: Our repeated measures ANOVA revealed no significant differences regarding method (P-P or new application) or meal (HC or HF) (p > 0.05 in all cases) for hunger, desire to eat or fullness scores. Correlation coefficients showed a high agreement between both methods (R 2 from 0.94-0.98). In...

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Section: Discussionmentioning

confidence: 99%

“…Sample size was estimated according to the variance observed in previous works (8,9). A minimum sample size of 12 subjects was estimated.…”

Section: Designmentioning

confidence: 99%

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Desarrollo y validación de una aplicación para smartphones para analizar variables subjetivas de apetito

2016

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“…Both techniques detected a significant difference between the high-and lowenergy lunches. A number of electronic devices have now been validated for administering a VAS with the main development requiring the participants to use a 'stylus' to mark their responses on the screen of the device -which is ergonomically similar to placing a mark on a paper VAS using a pencil (Stubbs et al 2001, Stratton et al 1998, Whybrow et al 2006Fig. 4).…”

Section: Appetite Ratings Scalesmentioning

confidence: 99%

“…4). All electronic devices can be accepted as a valid method for measuring appetite, but should not be used interchangeably with P&P. A number of studies have implemented the use of VASs to measure appetite and have shown a high degree of reproducibility (Delargy et al 1996, Stubbs et al 2001, Stratton et al 1998, Whybrow et al 2006, with a number of reviews commenting on their validity and reliability (De Graaf 1993, Flint et al 2000, Stubbs et al 2000. It is important to note that key experimental studies have confirmed the validity and reliability of the laboratory test meal procedure (Gregerson et al 2008) and the use of VASs as a measure of the strength of the motivation to eat (Flint et al 2000).…”

Section: Appetite Ratings Scalesmentioning

confidence: 99%

METABOLIC PHENOTYPING GUIDELINES: Studying eating behaviour in humans

Gibbons¹,

Finlayson²,

Dalton³

et al. 2014

Journal of Endocrinology

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The study of human appetite and eating behaviour has become increasingly important in recent years due to the rise in body weight dysregulation through both obesity and eating disorders. Adequate control over appetite is paramount for the control of body weight and in order to understand appetite, it is necessary to measure eating behaviour accurately. So far, research in this field has revealed that no single experimental design can answer all research questions. Each research question posed will require a specific study design that will limit the findings of that study to those particular conditions. For example, choices will be made among the use of laboratory or free-living studies, time period for examination, specific measurement techniques and investigative methodologies employed. It is important that these represent informed decisions about what design and which methodology will provide the most meaningful outcomes. This review will examine some of the 'gold standard' study designs and methodologies currently employed in the study of human appetite and eating behaviour. Homeostatic vs hedonic eating behaviourTraditionally, homeostatic regulation has been associated with the regulation of the internal milieu as developed by Claude Bernard during the 19th century. In the field of appetite, homeostasis is used to explain the quantitative changes in eating and food intake such as those that occur in order to correct any energy deficit. Richter (1943) subsequently used the term 'behavioural regulation of internal states' to indicate how eating behaviour operated to maintain physiological functioning. Hedonic aspects of appetite are those that are concerned with the influence of reward, pleasure and palatability on eating. The 'homeostatic system' comprises a network of gastrointestinal peptides and brain neurotransmitters, and also peripheral neural signalling and adipokines such as leptin. This system has been described, for example, by Schwartz et al. (2000) and updated by Halford & Blundell (2000) and Blundell et al. (2012), and it illustrates how physiological signals of energy requirements are integrated with the motivation to eat via sensations of hunger and fullness. This review was commissioned to strictly address the behavioural aspects of appetite control, which provide the foundation for obtaining valid and reliable measured changes in the actual behaviour of eating (and food selection) and in the associated motivational states that often determine the initiation, direction and duration of any feeding event. However, it is recognised that these behaviours emanate from a complex and sophisticated set of physiological pathways in the periphery and the brain. The actual behavioural expression of human appetite should be interpreted against this background physiological state. Description of the physiology is not within the scope of this chapter, but the reader is directed to recent reviews in order to put the behavioural aspects of appetite within a physiological context (Konturek et al.

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Periprandial changes of the sympathetic–parasympathetic balance related to perceived satiety in humans

Harthoorn

Dransfield

2007

Eur J Appl Physiol

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Food intake regulation involves various central and peripheral mechanisms. In this study the relevance of physiological responses reXecting the autonomic nervous system were evaluated in relation to perceived satiety. Subjects were exposed to a lunch-induced hunger-satiety shift, while proWling diverse sensory, physiological, and biochemical characteristics at 15 min intervals. Sensory ratings comprised questionnaires with visual analogues scales about their feeling of satiety, desire to eat, fullness, and hunger. Physiological characteristics included heart rate, heart rate variability, and blood pressure, while biochemical markers such as cortisol levels and -amylase activity were monitored in saliva. The four sensory ratings correlated with heart rate and salivary -amylase suggesting a higher sympathetic tone during satiety. Furthermore, heart rate variability was associated with age and waist-to-hip ratio and cortisol levels negatively correlated with body mass index. Finally, neither chewing nor swallowing contributed to a heart rate increase at food consumption, but orosensory stimulation, as tested with modiWed sham feeding, caused a partial increase of heart rate. In conclusion, after meal ingestion critical physiological alterations reveal a elevated sympathetic tone, which is a potential measure of satiety.

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Description and evaluation of a Newton-based electronic appetite rating system for temporal tracking of appetite in human subjects

Cited by 30 publications

References 7 publications

Desarrollo y validación de una aplicación para smartphones para analizar variables subjetivas de apetito

Desarrollo y validación de una aplicación para smartphones para analizar variables subjetivas de apetito

METABOLIC PHENOTYPING GUIDELINES: Studying eating behaviour in humans

Periprandial changes of the sympathetic–parasympathetic balance related to perceived satiety in humans

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