![]() |
|
|
Institute of Human Nutrition, University of Southampton, Southampton, UK and * Rowett Research Institute, Aberdeen, UK
3To whom correspondence should be addressed. E-mail: R.J.Stratton{at}soton.ac.uk.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: tube feeding appetite food intake healthy men
Tube feeding (TF) directly into the stomach provides a useful model with which to study what happens to appetite and satiety when nutrient delivery bypasses the oropharyngeal/esophageal region of the gastrointestinal (GI) tract and the associated cephalic phase response. Investigation of the effect of TF on satiety is physiologically relevant, helping to further establish the processes that control appetite in humans. In addition, such study has clinical relevance because this is a method of feeding that is widely used in the nutritional support of those with disease in both hospital and community settings (1). Despite the widespread and increasing use of TF in clinical practice (2), the effect of this artificial method of feeding on appetite and food intake (and mediators implicated in their control) in humans is poorly understood (3). Patients fed artificially by tube experience disturbances in appetite sensations (3,4). In addition, although TF is used in conjunction with food intake in
50% of patients receiving nutrition by tube at home (5), it is unclear whether the energy given by this method of feeding suppresses appetite and simply replaces energy taken orally or whether it provides additional energy. The effect of TF on appetite and food intake may vary depending on the timing of the feeding schedule (e.g., diurnal, nocturnal, 24 h). Although previous studies in a variety of patient groups alluded to the effect of continuous TF on food intake [summarized in (1)], interpretation of these results has been hampered by uncontrolled study designs, the confounding variables of disease and its treatment, and unusual feed compositions. Formal assessment of appetite sensations and controlled investigations comparing the effects of differently timed continuous schedules on appetite, food intake and potential appetite mediators (e.g., metabolites, insulin, leptin, gastrointestinal hormones, markers of energy utilization/fuel selection) are also lacking. Overall the data from existing clinical (6) and experimental studies in humans (7) and animals (8) suggest that nutrients delivered by continuous TF schedules may have little suppressive effect on appetite and food intake. This could be due to the liquid consistency of feeds, slow continuous infusion rates (instead of intermittent feeding) and the administering of feed at physiologically unusual times (e.g., overnight during sleep). Also, nutrients delivered by tube bypass the oropharyngeal and esophageal regions of the GI tract and in doing so, may fail to elicit the full cephalic phase response.
Although a new general model of intake regulation was proposed recently (9), which considers the influence of compensated and uncompensated factors on energy intake, the role of artificial feeding methods requires investigation. We reported previously on the relationship between leptin concentrations and changes in hunger and food intake with diurnal TF (10), but there has not been a controlled, comparative trial of the effects of bypassing the cephalic phase response with different tube feeding schedules on food intake, a variety of appetite sensations and a wide range of putative appetite mediators. Therefore, this placebo-controlled study in healthy subjects aimed to compare the effects of differently timed continuous TF schedules on appetite and food intake and on some of the potential mediators of appetite control. Two main hypotheses were addressed: 1) bypassing the upper GI tract (and associated cephalic phase response) with TF has little suppressive effect on oral energy intake, appetite sensations and on a number of mediators implicated in their control; and 2) the extent to which TF suppresses appetite (hunger, desire to eat) and food intake is greater when the feed is given only during the day (diurnal TF schedule) than when administered only overnight (nocturnal TF schedule), i.e., the satiating order of TF schedules is proposed to be: (most satiating) diurnal >24 h >nocturnal (least satiating). In addressing these hypotheses, it should also be possible to assess another clinically relevant issue, i.e., the extent to which TF increases total energy intake. To obtain insights into these processes, circulating concentrations of metabolites, hormones and other peripheral putative appetite signals are measured.
| SUBJECTS AND METHODS |
|---|
|
|
|---|
Protocol.
The study was a single-blind, Latin-square design. Each subject received three different continuous TF schedules (diurnal 12 h, nocturnal 12 h, 24 h), in random order, separated by at least 2 wk. Each TF schedule lasted for 3 d within a 10 d study period. A fine bore nasogastric (NG) tube (Freka 8F, 120 cm; Fresenius, Cheshire, United Kingdom) was inserted at the start of each 10 d study period. For the first 2 d, subjects were allowed to become accustomed to the tube. Thereafter, feed was administered through the NG tube diurnally (09002100 h), nocturnally (21000900 h) or over 24 h (09000900 h) at a constant rate using a portable Kangaroo Enteral Delivery System (pump with dose delivery accuracy ± 10%, 1600 mL, contained within a rucksack for portability; Sherwood Medical, West Sussex, United Kingdom). For 3 d (d 57), a standard commercial tube feed was given (6.86 ± 0.51) MJ; 15% energy from protein, 49% carbohydrate, 35% fat; 4.18 kJ/mL; Nutrison, Nutricia Clinical Care, Wiltshire, United Kingdom); the daily energy content of the feed was equivalent to each individuals predicted basal energy expenditure (11). During the two days preceding (d 34) and following (d 89) tube feeding, a placebo feed consisting of water colored with a small amount of feed (energy provision < 0.4 MJ) was infused. This placebo feed was similar in appearance to the tube feed and was given in identical volumes, at the same rate and for the same period of time as tube feeding. When questioned at the end of the study, subjects were unaware that a placebo had been used.
| Measurements |
|---|
|
|
|---|
Food intake.
For the first 2 d (d 1 to 2) of each study period, subjects were given a fixed "maintenance" diet [energy content equivalent to 1.5x predicted basal energy expenditure (11)] to facilitate energy balance. Thereafter (d 39 of each study schedule), subjects consumed ad libitum covertly manipulated food items that were isoenergetically dense (550 kJ/100g), and had the same macronutrient composition (40% energy from fat, 47% from carbohydrate and 13% from protein) [see (12) for methods]. There were 11 different food items available daily as part of a 3-d rotating menu cycle, including a variety of cereals, milkshakes, soups, puddings and savory meals (e.g., pasta dishes, casseroles, curry) and a milk allowance. All food was preprepared in excess and kept in a refrigerator designated to each subject; a microwave oven was available for heating food when required. The men also had free access to caffeine-free beverages throughout the study period. Subjects were asked to record the timing of food and drink consumption in a food diary. All foods were weighed before being placed in the refrigerator and all leftovers were weighed [see (13) for method] daily to assess oral energy intake. There was no evidence that leftovers were disposed of by other means. Dietary analysis was undertaken using the RONA computer package, created by the Rowett Research Institute, Aberdeen, UK and based on the Royal Society of Chemistrys Composition of Foods database (14). Assessment was made of the pleasantness and satisfying nature of the food after each meal using visual analog scales (scored from 0 to 100 mm for the least to the most pleasant and satisfying) (15). The Dutch Eating Behavior Questionnaire (DEBQ) (16) was completed by all subjects at the end of the study to assess dietary restraint.
Appetite sensations.
Subjects rated appetite sensations each waking hour using a paper questionnaire consisting of six visual analog scores with which to rate "hunger," "fullness," "desire to eat," "how much can you eat now?" "urge to eat" and "preoccupation with thoughts of food" (15,17). Each subject was given a booklet of questionnaires (containing one questionnaire for each hour) and a small hourly timer to remind them to complete it.
Anthropometry.
Height was measured at the start of the study using a stadiometer (Karrimetre, Raven Equipment, Dunmow, Essex, UK) and body weight was measured (using a digital platform scale, Sauter, West Germany, accurate to within 0.001 kg) at the same time on each morning of the study after voiding urine. BMI (kg/m2) was calculated, measurements of skinfold thickness at four sites were undertaken on d 1, 3, 5 and 8 and the percentage of fat calculated (18). Subjects were unaware of these results.
Indirect calorimetry.
Respiratory quotient (RQ) and resting energy expenditure (REE). REE was measured on d 3 (after maintenance period), d 5 (after placebo feeding period), d 8 (after TF period) and d 10 (after second placebo feeding period) at the same time in the morning (0815 h) in subjects after waking. The ventilated hood technique was used with a Deltatrac Metabolic Monitor (MBM-100; Datex Instrumentarium, Helsinki, Finland). All measurements were conducted over a 30-min period at room temperature (23 ± 1°C). Oxygen consumption (VO2) and carbon dioxide production (VCO2) were measured so that RQ and REE could be calculated (19). The analyzers were calibrated using standard gases before and after each measurement. The accuracy of the Deltatrac (98100% of predicted values) was checked periodically using nitrogen (80%) and carbon dioxide (20%) infusions [measured using an oil-filled gas meter type DM3A (Alexander Wright, London)] (20). Nocturnal and 24-h continuous TF schedules, which ended at 0915 h, continued during the measurement.
Blood sampling for the measurement of metabolites and hormones.
After measurement of the REE on d 3, 5 and 8, venous blood was taken for the measurement of plasma concentrations of the following metabolites: glucose (Gluc HK, Unimate 5); nonesterified fatty acids (NEFA; Wako Alpha Laboratories, UK) triacylglycerol (Unimate 5 TRIG kit); glycerol (Boehringer Mannheim kit, GmbH); lactate (21); ß-hydroxybutyrate (21); and for the hormones insulin (Enzyme Amplified Sensitivity Immunoassay, Biosource Europe S.A., Belgium), leptin (RIA; Linco Research Inc. St Louis, MO), cholecystokinin (CCK; RIA, Euro-Diagnostica, Malmo, Sweden) and glucagon (RIA). Nocturnal and 24-h continuous TF schedules, which ended at 0915 h, were ongoing during the taking of blood samples.
Statistical methods.
Two-way repeated-measures ANOVA was used to analyze the effects of the individual schedules and the differences between schedules on oral energy intake (main dependent variable), body weight and appetite. The two within-subject factors were time (day) and schedule (nocturnal, diurnal, 24 h). Using daily measurements, a planned analysis involving polynomial contrasts was undertaken to assess 1) the linear effects across the study (d 39) and the individual study periods (d 34; d 57; d 89); and 2) the quadratic effect [comparison of the tube feeding period (d 57) with the placebo periods (d 34 and d 89 collectively)]. A further analysis, using the same statistical techniques, examined the extent to which the reduction in oral energy intake compensated for the infused energy from TF (d 57) compared with the placebo feeding (d 34 alone and in combination with d 89). Results are presented as means ± SD. Repeated-measures ANOVA with deviation contrasts was used to compare the individual, within-day, hourly ratings of hunger and fullness, with the daily grand mean. Changes in metabolic measurements with TF were assessed using repeated-measures ANOVA with simple contrasts. To calculate the correlation coefficients for repeated metabolic measurements, energy intake and appetite, analysis of covariance (ANCOVA) was used. These analyses were undertaken on normally distributed data and are presented as means ± SD. Leptin concentrations, which were log transformed to normalize the positively skewed distribution, are presented as geometric means + SD (the antilog of the "mean of logged data + 1 SD of logged data"). For nonnormally distributed data, analyses were carried out using Friedmans k-related samples and Wilcoxon signed-ranks test (paired comparisons); data are presented as medians (range). Statistical analysis was conducted using SPSS, version 7.5 (SPSS, Woking, Surrey, UK).
| RESULTS |
|---|
|
|
|---|
Oral energy intake.
TF (all schedules combined, d 57) did not reduce oral energy intake compared with the control periods before and after administration of a placebo feed (d 34 and d 89, Fig. 1). There was also no reduction in oral intake with each of the individual continuous TF schedules (nocturnal, diurnal, 24 h, d 57) and no differences among schedules; for simplicity, the results are presented as means ± SD data for the three study periods in Table 1. Although there were no differences between the effects of the different TF schedules on oral energy intake, the greatest reduction in oral energy intake occurred with diurnal TF [TF period (d 57) vs. placebo periods (d 34 and d 89), P < 0.054; F(1,5) 6.254], which had the lowest oral energy intake during TF (d 57) of all three schedules (Table 1). Compared with only the first placebo period (d 34), the reduction in oral intake with diurnal TF of 2.49 ± 2.27 MJ (equivalent to 36 ± 32% of the tube feed energy given) was significant (P < 0.043; F(1,5) 7.24). The equivalent reductions in oral intake with nocturnal and 24-h schedules were 1.01 ± 2.27 and 1.06 ± 1.34 MJ, respectively, equivalent to 14 ± 31 and 16 ± 21% of the tube feed energy given. As a consequence, total energy intake (oral and tube energy combined) with all feeding schedules was markedly increased from 14.88 ± 3.5 MJ [during the placebo period (d 34)] to 20.43 ± 3.25 MJ during 3 d of TF [mean combined tube and oral intake during the 3-d TF period (d 57) all schedules combined; 37% (5.55 MJ) increase, see Fig. 1].
|
|
Food pleasantness and satisfaction ratings.
Throughout all of the study periods (d 39), there was little change in the daily pleasantness and satisfaction ratings obtained for the food items ingested; there were also no differences among the studies. The pleasantness and satisfaction ratings of the food ingested from each of the three menus (used on a rotating basis) were similar [e.g., pleasantness ratings (mm): menu d 1, 68 ± 13; d 2, 72 ± 11; d 3, 66 ± 13; satisfaction ratings (mm): menu d 1, 72 ± 7; d 2, 69 ± 11; d 3, 69 ± 13].
Appetite sensations during enteral tube feeding.
The h 1 rating of the day for all the appetite sensations (hunger, desire to eat, fullness, urge to eat, preoccupation with thoughts of food and "how much can you eat now?") did not differ within the 3 d of feeding of each of the schedules (diurnal, 24 h or nocturnal TF). In addition, compared with the ratings for the preceding period of placebo feeding, each TF schedule produced similar changes (no significant interindividual differences). The alteration in daily appetite sensations with TF (d 57), compared with placebo feeding (d 34), did not differ irrespective of whether the feed was administered during the day, overnight or for 24 h (e.g., h 1 hunger: 1 ± 12 mm diurnal; 2 ± 9 mm nocturnal; -2 ± 11 mm 24 h; no difference among schedules).
Within-day temporal changes in hunger and fullness sensations during the waking hours of the TF period (d 57) did not differ, irrespective of the timing of the schedule (Fig. 2, mean values from normally distributed data). Hunger and fullness sensations differed significantly from the group mean at 0900, 1200, 1700 and 2000 h, which often coincided with oral meal ingestion.
|
The range of metabolic measurements, which were made after an overnight fast during the diurnal TF schedule and during feed delivery with the nocturnal and 24-h TF schedules, is shown in Figure 3 (RQ and REE) and Table 2(metabolites and hormones). During all three study periods, the changes in RQ and REE (see Fig. 3), circulating metabolites, insulin and leptin concentrations were related to the preceding days total energy intake (e.g., leptin and total energy intake, r values ranged from 0.87 to 0.92, P < 0.001; ANCOVA). However, the RQ and REE, circulating metabolites, insulin, leptin, glucagon and CCK concentrations did not relate to and thus predict appetite (e.g., h 1 hunger) or food intake (morning energy intake) assessed shortly after the measurements were made (there was also no relationship with mean daily oral energy intake or hunger). The three different TF schedules produced similar changes in RQ and REE (Fig. 3), leptin, CCK, glucagon and metabolite concentrations but not insulin concentrations, which showed a greater increment with nocturnal TF (Table 2).
|
|
The initial weight of subjects at the start of the three study periods did not differ (d 1: nocturnal 69.9 kg; diurnal 69.1 kg; 24 h 69.6 kg) and weight remained stable during the maintenance period (d 12). During the 3 d of TF, all schedules were accompanied by weight gain (P < 0.01 F(1,5) 16), whereas during the placebo infusion periods, no changes were observed. Although the greatest change in weight was observed with nocturnal TF (+2.4 ± 0.71 kg), the difference among schedules was not significant (24 h +1.88 ± 0.45 kg; diurnal +1.84 ± 0.59 kg). The percentage of fat (18) did not differ at the start of the three study periods [nocturnal 21.4%; diurnal 20.5%; 24 h 20.0% (median)] and no detectable changes occurred throughout any of the studies (diurnal, 24 h, nocturnal).
| DISCUSSION |
|---|
|
|
|---|
The second finding of this study was that oral energy intake did not compensate for the energy provided by continuous TF (d 57), resulting in a marked increase in total energy intake during the TF period (Fig. 1). The reduction in oral energy intake with 3 d of TF was equivalent to <40% of the tube feed energy (6.86 MJ), producing a significant increase in body weight but no detectable change in the percentage of fat. Compared with the first control period when only the placebo was given (assuming potential carry-over effects in the second control period), a reduction in oral energy intake of 2.49 MJ (36% of TF energy), 1.01 MJ (14%) and 1.06 MJ (16%) occurred with diurnal, nocturnal and 24-h TF schedules, respectively (TF energy 6.86 ± 0.51). Similar reductions were suggested by previous less controlled studies of nocturnal TF in the clinical setting (26,27), although the variable effects of disease during the course of studies may confound interpretation. Last, the findings of the present investigation were unable to confirm fully the original hypothesis that the timing of the TF schedule (nocturnal, diurnal, 24 h) would be an important determinant of the effect on appetite and voluntary food intake. In contrast, this investigation suggested that differently timed continuous TF schedules had largely similar effects on a variety of appetite sensations, on food intake and on potential metabolic and hormonal mediators of appetite (with the exception of insulin), at least over the duration of the study period. Furthermore, a relationship between the concentrations of the putative mediators of appetite with subsequently measured appetite and food intake was not evident, at least within the time frame of this investigation.
There was a small degree of variation in the extent to which different TF schedules replaced oral energy intake, and hence the degree to which total energy intake was increased (in the order hypothesized: diurnal > 24 h > nocturnal) but this was not significant (P = 0.42). One possibility is that the study could not detect small differences in the effects of the schedules because of insufficient power associated with small sample sizes (type II error). Simple power calculations (28), based on the intraindividual variability in food intake for 2-d periods, similar to that observed in the present study and in other investigations by our group (SD 12%, 1.67 MJ), suggested that a sample size of six subjects would be sufficient to detect a 20% change in daily oral energy intake (
2.8 MJ) with 80% power and a significance of P < 0.05. Such calculations were not possible before the start of these studies because the variability in oral energy intake from covertly manipulated food items during TF had not previously been documented.
There are several potential explanations for the lack of change in appetite and food intake with TF. The effect of social conditioning on food intake (29) may have overridden changes in the putative satiety signals induced by TF, particularly because the period of feeding was only 3 d. Indeed, preliminary work would suggest that greater suppression of food intake occurs if the duration of TF is increased (4,30). Alternatively, it could be that nutrients delivered by TF, in bypassing the upper gastrointestinal tract, fail to elicit the full cephalic phase and other GI responses that may provide feedback in the control of appetite and food intake (31). In addition, the liquid consistency of the feed may have a different satiating effect than that of solid-liquid meals (32), and the slow, continuous rate at which nutrients are delivered (0.280.57 MJ/h) may not produce the same satiety signals as those produced by intermittent meal ingestion. Indeed, after TF, changes in the measured metabolic and hormonal mediators implicated in the control of satiety did not relate to or predict appetite or food intake assessed shortly after measurement (or over the subsequent day as a whole). Greater insights into the underlying mechanisms of appetite control during TF are likely to be obtained by tracking profiles of metabolites and other signals over longer periods of time.
This study also provides the first data on the temporal patterns of appetite during the day in subjects receiving different TF schedules. Not only is this an issue of physiologic interest (e.g., no suppression of h 1 hunger ratings despite overnight TF of 6.9 MJ) but one of clinical relevance because such information may enable more effective targeting of oral and other nutritional therapy (e.g., supplementation) at times when patients are more hungry and more likely to eat. Alternatively, in those patients receiving TF who are unable to eat and are distressed by hunger or other appetite sensations, treatments (e.g., pharmacologic or psychologic interventions) could also be targeted at the most appropriate times. However, the results of this study in healthy subjects found that the temporal patterns for hunger and fullness sensations (see Fig. 2) and the distribution of oral energy intake through the day were remarkably similar for all three TF schedules.
In summary, this investigation provides the first placebo-controlled pilot comparison of the effects of differently timed TF schedules (diurnal, nocturnal, 24 h) on food intake and on a variety of different appetite sensations and potential mediators of satiety in the absence of confounding factors such as disease (33), dietary and other factors (3438). This study suggests that the energy from all 3-d continuous TF schedules (6.86 ± 0.51 MJ) is largely additional to that taken orally, having little effect on appetite sensations. It also suggests that all schedules (diurnal, nocturnal, 24 h) have similar effects on appetite and food intake, at least within the time frame studied. The effect of longer continuous TF schedules (>3 d) or intermittent bolus TF schedules on appetite and food intake and the metabolic and hormonal mediators involved in the control of appetite and food intake remain to be elucidated in humans.
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
2 Funded by the Medical Research Council, UK. ![]()
4 ANCOVA, analysis of covariance; CCK, cholecystokinin; DEBQ, Dutch Eating Behavior Questionnaire; GI, gastrointestinal tract; NG, nasogastric; NEFA, nonesterified fatty acids; REE, resting energy expenditure; RQ, respiratory quotient; TF, tube feeding. ![]()
Manuscript received 13 February 2003. Initial review completed 25 March 2003. Revision accepted 29 May 2003.
| LITERATURE CITED |
|---|
|
|
|---|
1. Stratton, R. J., Green, C. J. & Elia, M. (2003) Disease-Related Malnutrition: An Evidence Based Approach to Treatment 2003 CABI Publishing Oxford, UK.
2. Elia, M., Stratton, R. & Russell, C. (2002) Current Aspects of Artificial Nutrition Support in the UK. A Report by the British Artificial Nutrition Survey (BANS) 2002 BAPEN Bath, UK.
3. Stratton, R. J. & Elia, M. (1999) The effects of enteral tube feeding and parenteral nutrition on appetite sensations and food intake in health and disease. Clin. Nutr. 18:63-70.[Medline]
4. Stratton, R. J. (1999) Artificial Nutrition, Appetite and Food Intake, in Health and Disease. Doctoral thesis 1999 University of Cambridge Cambridge, UK.
5. Elia, M., Russell, C. A. & Stratton, R. J., Committee for the British Artificial Nutrition Survey (2001) Trends in Artificial Nutrition Support in the UK during 19962000 2001 BAPEN Maidenhead, UK.
6. Stratton, R. J. (2001) The impact of nutritional support on appetite and food intake. Clin. Nutr. 20(suppl. 1):147-152.
7. Jordan, H. A. (1969) Voluntary intragastric feeding: oral and gastric contributions to food intake and hunger in man. J. Comp. Physiol. Psychol. 68:498-506.[Medline]
8. Quatermain, D., Kissileff, H., Shapiro, R. & Miller, N. E. (1971) Suppression of food intake with intragastric loading: relation to natural feeding cycle. Science (Washington, DC) 173:941-943.
9. de Castro, J. M. & Plunkett, S. (2002) A general model of intake regulation. Neurosci. Biobehav. Rev. 26:581-595.[Medline]
10. Stratton, R. J., Stubbs, R. J. & Elia, M. (1998) Inter-relationship between circulating leptin concentrations, hunger and energy intake in healthy subjects receiving tube feeding. J. Parenter. Enteral Nutr. 22:335-339.[Abstract]
11. Schofield, W. N., Schofield, C. & James, W.P.T. (1985) Basal metabolic ratereview and prediction, together with annotated bibliography of source material. Hum. Nutr. Appl. Nutr. 39C(suppl. 1):5-96.
12. Stubbs, R. J., Johnstone, A. M., Shannon, E. & Reid, C. A. (2000) Altering the temporal distribution of energy intake with isoenergetically dense foods given as snacks does not affect total daily energy intake in normal weight men. Br. J. Nutr. 83:837-814.
13. Bingham, S. (1987) The dietary assessment of individuals; methods, accuracy, new techniques and recommendations. Nutr. Abstr. Rev. 57:705-742.
14. McCance, R. A. & Widdowson, E. M. (1991) The Composition of Foods 5th ed. 1991 Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food Cambridge, UK.
15. Hill, A. J. & Blundell, J. E. (1982) Nutrients and behaviour: research strategies for the investigation of taste characteristics, food preferences, hunger sensations and eating patterns in man. J. Psychol. Res. 17:203-212.
16. van Strien, T., Frijters, J.E.R., Bergers, G.P.A. & Defares, P. B. (1986) The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional and external eating behavior. Int. J. Eat. Disord. 5:295-315.
17. Blundell, J. E. (1979) Hunger, appetite and satiety-constructs in search of identities. Turner, M. eds. Nutrition and Lifestyles 1979 Applied Science Publishers London, UK. .
18. Durnin, J.V.G.A. & Womersley, J. (1974) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged 16 to 72 years. Br. J. Nutr. 32:77-96.[Medline]
19. Elia, M. & Livesey, G. (1992) Energy expenditure and fuel selection in biological systems: the theory and practice of calculations based on indirect calorimetry and tracer methods. World Rev. Nutr. Diet 70:68-131.[Medline]
20. Murgatroyd, P. R., Davies, H. L. & Prentice, A. M. (1987) Intra-individual variability and measurement noise in estimates of energy expenditure by whole body indirect calorimetry. Br. J. Nutr. 58:347-356.[Medline]
21. Williamson, D. H. & Mellanby, J. (1974) Methods Of Enzymatic Analysis 2nd ed. 1974 Academic Press New York, NY.
22. Hill, A. J., Leathwood, P. D. & Blundell, J. E. (1987) Some evidence for short-term caloric compensation in normal weight human subjects: the effects of high and low-energy meals on hunger, food preference and food intake. Hum. Nutr. Appl. Nutr. 41A:244-257.[Medline]
23. Stubbs, R. J., Van Wyk, M.C.W., Johnstone, A. M. & Harbron, C. (1996) Breakfasts high in protein, fat or carbohydrate: effect on within-day appetite and energy balance. Eur. J. Clin. Nutr. 50:409-417.[Medline]
24. Wolf, S. & Wolff, H. G. (1943) Human Gastric Function 1943 An Experimental Study of a Man and His Stomach. Oxford University Press New York, NY.
25. Stratton, R. J., Stubbs, R. J. & Elia, M. (1998) Appetite and food intake during artificial nutrition. Proc. Nutr. Soc. 57:96A.
26. Bastow, M. D., Rawlings, J. & Allison, S. P. (1983) Benefits of supplementary tube feeding after fractured neck of femur: a randomised controlled trial. Br. Med. J. 287:1589-1592.
27. McWhirter, J. P. & Pennington, C. R. (1996) A comparison between oral and nasogastric nutritional supplements in malnourished patients. Nutrition 12:502-506.[Medline]
28. Altman, D. G. (1991) Practical Statistics for Medical Research 1st ed. 1991 Chapman and Hall London, UK.
29. Booth, D. A. (1992) Integration of internal and external signals in intake control. Proc. Nutr. Soc. 51:21-28.[Medline]
30. Stratton, R. J., Stubbs, R. J. & Elia, M. (2000) Impact of nasogastric feeding duration on appetite and food intake. Clin. Nutr. 19(suppl. 1):54.
31. Read, N. W. (1992) Role of gastrointestinal factors in hunger and satiety in man. Proc. Nutr. Soc. 51:7-11.[Medline]
32. Tournier, A. & Louis-Sylvestre, J. (1991) Effect of the physical state of a food on subsequent intake in human subjects. Appetite 16:17-24.[Medline]
33. Plata-Salaman, C. (1996) Anorexia during acute and chronic disease. Nutrition 12:69-78.[Medline]
34. King, N. A., Watson, C. L., Stubbs, R. J. & Blundell, J. E. (1996) The effect of intense physical activity on profiles of hunger and energy intake in free-living individuals. Int. J. Obes. Relat. Metab. Disord. 104(suppl. 4):104A.
35. Stubbs, R. J. (1992) Macronutrients, Appetite and Energy Balance in Humans. Doctoral thesis 1992 University of Cambridge Cambridge, UK.
36. Racotta, I. S., LeBlanc, J. & Richard, D. (1994) The effect of caffeine on food intake in rats-involvement of corticotrophin releasing factor and the sympathoadrenal system. Pharmacol. Biochem. Behav. 48:887-892.[Medline]
37. Yettefti, K., Orsini, J. C. & Perrin, J. (1997) Neuronal responses to systemic nicotine in the solitary tract nucleus: origin and possible relation with the nutritional effects of nicotine. Pharmacol. Biochem. Behav. 58:529-535.[Medline]
38. Dye, I. & Blundell, J. E. (1997) Menstrual cycle and appetite control: implications for weight regulation. Hum. Reprod. 12:1142-1151.
This article has been cited by other articles:
![]() |
R. J Stratton, R J. Stubbs, and M. Elia Bolus tube feeding suppresses food intake and circulating ghrelin concentrations in healthy subjects in a short-term placebo-controlled trial Am. J. Clinical Nutrition, July 1, 2008; 88(1): 77 - 83. [Abstract] [Full Text] [PDF] |
||||
![]() |
S Evans, A Daly, A MacDonald, P Davies, and I W Booth Impact of nutrient density of nocturnal enteral feeds on appetite: a prospective, randomised crossover study Arch. Dis. Child., July 1, 2007; 92(7): 602 - 607. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||