![]() |
|
|
Department of Human Biology, Maastricht University, The Netherlands
1To whom correspondence should be addressed.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: energy-intake water-intake energy-balance water-balance women
| INTRODUCTION |
|---|
|
|
|---|
Underreporting of habitual food intake (i.e., a discrepancy between
energy intake and expenditure) can be divided into underrecording and
undereating, but the distinction has seldom been made. By
underrecording is meant a discrepancy between energy intake and
measured energy expenditure with no change in body mass, and by
undereating a discrepancy accompanied by a decline in body mass over
the food-recording interval (Milne et al. 1991
). Milne et al. (1991)
tried to distinguish underrecording and undereating in
their study. Energy expenditure was assessed from predicted basal
metabolic rate (calculated from subjects height, weight and age) and
the physical activity level (obtained by activity diaries for each
day). Body mass was measured at the start and end of the recording week
at the same time of day, but not necessarily in subjects with an empty
stomach. The size of underreporting, and thus of undereating and
underrecording, could only be estimated in this study.
Studies that measured energy intake with a food record and energy
expenditure with the doubly labeled water method found discrepancies
ranging from 20 to 50% in obese subjects (Bandini et al. 1990
, Buhl et al. 1995
, Kempen et al. 1995
, Lichtman et al. 1992
, Prentice et al. 1986
, Schoeller 1990a
and 1990b
, Velthuis-te Wierik et al. 1995
,
Westerterp et al. 1991
) and from 0 to 30% in lean
subjects (Bandini et al. 1990
and 1997
,
Davies and Coward 1994
, Edwards et al. 1993
, Livingstone et al. 1990
and 1992
, Martin et al. 1996
,
Pannemans et al. 1993
, Schoeller 1990a
and 1990b
, Schulz et al. 1989
, Sjödin et al. 1994
,
Westerterp et al. 1991
). One of the few studies that
found a reported energy intake equal to measured energy expenditure was
a study of Sjödin et al. (1994)
. This study was done with eight
cross country skiers (four men and four women) who reported their food
intake for four consecutive days assisted by two dietitians who were
present at all meals, likely an ideal situation. Other studies by
Davies and Coward (1994)
in children from 1.5 to 4.5 y, by
Westerterp et al. (1991)
in adults before an exercise training and by
Schulz et al. (1989)
in students found a reported energy intake nearly
equal to energy expenditure. Most other studies found discrepancies
>5% between energy intake and expenditure;these were attributed to
underreporting. Measurements of body mass were done in some of the
above-mentioned studies, but a determination of the fraction of
underreporting attributed to undereating could not be made
(Bandini et al. 1990
, Buhl et al. 1995
,
Davies and Coward 1994
, Edwards et al. 1993
, Kempen et al. 1995
, Lichtman et al. 1992
, Martin et al. 1996
, Pannemans et
al. 1996
, Prentice et al. 1986
,
Schoeller 1990a
, and 1990b
, Schulz et al. 1989
, Sjödin et al. 1994
,
Velthuis-te Wierik et al. 1995
, Westerterp et al. 1991
). Other studies did not measure body mass at the start and
end of the recording interval and attributed the underreporting
completely to underrecording of energy intake (Bandini et al. 1997
, Livingstone et al. 1990
and 1992
). Repeated measurements of body mass on an accurate
scale in the morning before any beverage or food consumption and after
voiding are necessary to detect undereating. This might be a reason for
not addressing the issue of undereating in most studies.
In addition, a distinction between underrecording and undereating is difficult to make because a decline in body mass does not necessarily have to exclude underrecording; both can occur at the same time. An independent measure for underrecording is therefore necessary.
This study was designed to discriminate between underrecording and
undereating by comparing reported food intake with measured energy
expenditure and water loss. Food and water intake were measured with a
7-d weighed food record, and energy expenditure was estimated by
measurements of resting metabolic rate and physical activity. A
triaxial accelerometer for movement registration measured physical
activity [validated by Bouten et al. (1996)
with doubly labeled
water], a less expensive alternative for the doubly labeled water
method. Water loss was measured with deuterium elimination. Under
normal conditions, water balance is preserved, and water intake matches
water loss. Water loss might slightly deviate from water intake during
the postovulatory phase of the menstrual cycle for premenopausal women,
but this is very small (e.g., a water retention of 0.5 L/wk gives, on a
total water loss of 21 L/wk, a 2% deviation of measured water
loss)."Underdrinking" because of food recording is not realistic.
Thus a water intake, corrected for metabolic water, lower than water
loss indicates underrecording. Portion size errors have to be minimal
to be able to distinguish underrecording from undereating. Therefore,
dietitians were chosen as subjects because they are familiar with
accurately weighing and reporting food intake. The objective of this
study was to sort out the two errors that contribute to underreporting
of habitual food intake, i.e., underrecording and undereating.
| MATERIALS AND METHODS |
|---|
|
|
|---|
Food intake was measured with a 7-d food record. Energy balance was monitored by measurement of body mass. Subjects were weighed 1 wk before the start of the food-recording week, at the start and at the end of the recording week. Thus, possible weight fluctuations because of food recording could be compared with normal weight fluctuations. During wk 1, the nonrecording week, there were no further measurements. In wk 2, energy and water intake were measured with a weighed food record. Energy expenditure was estimated by two measurements of resting energy expenditure (at the start and end of the recording week) and by the assessment of physical activity during the whole recording week. Water loss was measured with deuterium elimination.
Subjects.
Twenty-seven dietitians were recruited from the Maastricht University, university hospital, home nursing association and dietitian practices in Maastricht and the surrounding area. Subjects were informed about the goal of the study to stimulate them to record their food intake accurately. All subjects were healthy women with a mean age of 34 ± 9 y (range 2260 y) and a mean body mass index of 22.1 ± 2.3 kg/m2 (range 17.426.0). Two subjects were postmenopausal. Subjects who were pregnant, lactating or dieting were not included in the study. The protocol was approved by the university ethics committee.
Body mass.
Body mass was measured three times at 7-d intervals. Because weight fluctuations can be influenced by phase of the menstrual cycle, the phase of the cycle in the recording week was noted. Subjects were weighed (in underwear) in the morning before any beverage or food consumption and after voiding, on a digital balance accurate to 0.01 kg (Sauter, type E1200, Albstadt 1, Ebingen, Germany).
Food and water intake.
A 7-d weighed food record was chosen because it does not rely on the
memory of a subject and it is commonly used for measuring recent
habitual food intake of individuals and groups. Subjects were
instructed to weigh everything they ate and drank on an electronic
scale (EKS; Sélestat, Sweden; max. 2000 g; accurate to
1 g) and record it in a structured food diary. The food records
were converted into intakes of total energy and water with a computer
program based on food tables (Becel Nutrition Program
1988
).
The amount of metabolic water was estimated from protein, fat and
carbohydrate intake derived from the 7-d food record and from the
change in body mass. Oxidation water is 0.41 mL/g for protein, 1.07
mL/g for fat and 0.6 mL/g for carbohydrate (Fjeld et al. 1988
). A change in body mass of 1 kg is assumed to be a change
of 0.75 kg fat mass and 0.25 kg fat-free mass. Fat mass is pure fat and
fat-free mass is 73% water and 27% protein (Westerterp et al. 1995
).
Energy expenditure.
Energy expenditure
(EE)2
was estimated from measured resting metabolic rate (RMR)and physical
activity (PA). Diet-induced (EE) was not measured in this study; it is
a constant fraction of 10% of total energy expenditure in subjects
consuming an average mixed diet (Weststrate et al. 1989
).
Resting metabolic rate was measured by means of an open circuit
ventilated hood system, in the morning in a fasting state while
subjects were lying for 30 min in supine position. Gas analyses were
performed by a paramagnetic oxygen analyzer (Servomex type 500A,
Crowborough Sussex, UK) and an infrared carbon dioxide analyzer
(Servomex type 500A), similar to the analysis system described by
Schoffelen et al. (1997)
. Weir's formulas (1949) were used for
calculating RMR.
Physical activity was registered with a triaxial accelerometer for
movement registration (Tracmor, Philips Research, Eindhoven, The
Netherlands). The Tracmor was an improved version (same principle, but
smaller 7 x 2 x 0.8 cm) of the Tracmor used in previous
studies (Bouten et al. 1996
). In short, the Tracmor
measures accelerations in the anteroposterior, mediolateral and
vertical directions. The Tracmor has been validated against doubly
labeled water (Bouten et al. 1996
). Subjects wore the
Tracmor in a belt at the back of the waist during waking hours and
recorded the times at which they got up, put on and off the Tracmor and
when they went to bed. The registered accelerations in counts/minute
were used as an objective measure for the physical activity level of
each subject.
Water loss.
Water loss over the recording week was measured with the deuterium
elimination method (Fjeld et al. 1988
). Subjects drank a
deuterium (2H2O) dilution
(70 g water with an enrichment of 5 atom % excess
2H) after voiding (baseline urine sample) the
evening before the start of the recording week. Elimination was
calculated from two urine samples directly after dosing (at d 1 in the
morning and evening) and two samples at the end of the observation
period (d 7 in the evening, d 8 in the morning). Deuterium content was
measured in urine samples with an isotope ratio mass spectrometer
(Westerterp et al. 1996
). Water loss was calculated from
2H elimination with the equation of Fjeld et al. (1988)
, as described previously (Westerterp et al. 1992
).
Questionnaire.
At the end of the recording week, subjects filled in a questionnaire about their experiences with food recording to determine if they always weighed and recorded their food intake and if they changed their habitual food intake.
Statistics.
Twenty-seven subjects were recruited; three subjects were excluded from statistical analysis because of missing physical activity registration by the Tracmor.
Mean values and SD were calculated. A one-factor ANOVA for repeated measures and a Scheffé test (post-hoc) were used to compare the three measurements of body mass. The changes in body mass were compared with a paired t test. A factorial ANOVA test was used to measure the influence of the phase of the menstrual cycle on the body mass changes.
Measurements of RMR at the start and end of the recording week were compared with a paired t test and means were calculated if the two measurements did not differ significantly.
RMR, PA and body mass changes are all independent measures for energy metabolism. Multiple and simple regression analyses were used to assess the contribution of these independent variables to reported energy intake.
The ratio between energy intake and resting metabolic rate (EI/RMR) is often used to identify underreporting. For subjects in energy balance, EI/RMR ranges between a minimum of 1.1, in somebody with zero activity, and a higher value of ~2.5 in very active subjects. A low EI/RMR can be caused by underrecording or undereating. With simple regression analysis, the contribution of physical activity and the change in body mass to EI/RMR were tested. Significance was reached when P < 0.05. The StatView SE+ (1988, Abacus Concepts, Berkeley, CA) was used for statistical analysis.
| RESULTS |
|---|
|
|
|---|
|
|
Reported water intake plus calculated metabolic water correlated closely with measured water loss (water intake = -0.29 + 0.99 · water loss; r = 0.92, P < 0.0001), indicating a high recording precision. However, there was a significant difference of 0.3 L/d between total water loss and reported water intake plus the calculated amount of metabolic water (see Discussion).
Resting metabolic rate, physical activity and the change in body mass
were all independently related to energy intake (Table 2
) Together they explained 66% of the variation in energy intake.
|
|
| DISCUSSION |
|---|
|
|
|---|
The recording of food intake in this study was done accurately
according to the measured water balance. The small shortage in water
intake compared with water loss was also seen in other studies that
measured the water balance (Westerterp et al. 1992
and 1996
). The shortage in this study might be due to
underestimation of the amount of calculated metabolic water or might be
in the assumptions made on respiratory and cutaneous water loss and
fractionation in the calculation of water loss. The amount of metabolic
water was calculated from the carbohydrate, fat and protein intakes
derived from the 7-d food record and from the change in body mass. To
calculate the amount of metabolic water derived from the change in body
mass, the mass ratio 75:25 for fat mass and fat-free mass was used.
This ratio of mobilization or storage of energy between fat mass and
fat-free mass is not a constant and might introduce an error into the
calculation of metabolic water (Westerterp et al. 1995
).
A good recording of water intake does not necessarily imply that the
same holds for the recording of food intake. However, most foodstuffs
contain a certain amount of water; therefore, it was concluded that the
food recording was also done accurately.
Subjects changed their habitual food intake in the recording week; this
was probably done unconsciously according to the answers on the
questionnaire. To indicate undereating, body mass changes in the
recording week were compared with body mass changes in the nonrecording
week. Body mass might fluctuate from one week to another; thus, normal
body mass changes were excluded from changes caused by undereating.
Milne et al. (1991)
measured body mass changes only over the recording
week. A significant weight loss (-0.28 kg/wk) from zero over the
recording week was found. However, body mass was not measured in the
morning after an overnight fast (with an empty stomach), which might
give some error in the measured body mass changes over the recording
week. The body mass changes were not related to energy intake, only in
subgroups of large eaters vs. small eaters. It was therefore not
entirely clear whether the body mass changes indicated undereating or
whether they were simply normal weight fluctuations or measurement
errors. Figure 1
presents changes in body mass over the nonrecording
week and the recording week. The regression line goes not through zero,
probably because of the intervention (weighing and recording food
intake) in wk 2 or because the time interval was too short to measure
energy balance. Edholm et al. (1955)
measured energy expenditure and
food intake in individual men for 2 wk and showed that mean energy
expenditure was close to intake on a weekly and fortnightly basis.
Individual intakes were highly variable from day to day and were often
not in daily, weekly or even fortnightly balance with energy
expenditure. Basiotis et al. (1987)
found that the minimum time
interval in which to measure habitual intake at an individual level was
31 d and 3 d at a group level. Seven days is the minimum
number of days to measure mean energy balance and is probably the
maximum number of days in which to keep a weighed food record; accuracy
will drop if the time is extended because of declining motivation on
the part of the subjects.
The ratio EE/RMR is known as physical activity level; if there is no
underreporting, EE/RMR is equal to EI/RMR. The EI/RMR ratio is
therefore often used in studies to identify underreporting. Goldberg et al. (1991)
made cut-off limits to recognize underreporting at the group
level. A physical activity level <1.35 is not very likely unless
someone has a very inactive lifestyle. Therefore ratios of EI/RMR
<1.35 indicate underreporting. But, as can be seen in Figure 2
, there
were subjects in this study with a ratio below and above 1.35 who lost
weight. The ratio EI/RMR cannot identify all underreporters, only the
very unlikely reporters. Black et al. (1997)
compared the ratio EI/RMR
with EI/EE and also arrived at the conclusion that the ratio EI/RMR
cannot identify all underreporters; specific information about a
person's physical activity is needed. Specific information about such
physical activity was available in this study through the use of the
Tracmor;thus conclusions could be made on an individual level. The
output of the Tracmor explained 27% of the variation in energy intake.
This study was done with dietitians, a population that would be expected to report very accurately. The results of this study can therefore not be used for other populations, but the methods used certainly apply to other studies.
In summary, underreporting of habitual food intake does not necessarily mean that subjects are dishonest about their food intake. In this study, we found that the recording precision of subjects was high, but they changed their food pattern and therefore lost weight. The underreporting of ~16% could be explained by undereating in this group of motivated, lean women.
| FOOTNOTES |
|---|
Manuscript received March 5, 1998. Initial review completed June 15, 1998. Revision accepted December 14, 1999.
| REFERENCES |
|---|
|
|
|---|
1. Bandini L. G., Cyr H., Must A., Dietz W. H. Validity of reported energy intake in preadolescent girls. Am. J. Clin. Nutr. 1997;65(suppl.):1138s-1141s[Medline]
2.
Bandini L. G., Schoeller D. A., Cyr H. N., Dietz W. H. Validity of reported energy intake in obese and nonobese adolescents. Am. J. Clin. Nutr. 1990;52:421-425
3. Basiotis P. P., Welsh S. O., Cronin F. J., Kelsay J. L., Mertz W. Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence. J. Nutr. 1987;117:1638-1641
4. Becel, Nederlandse Voedingsstoffenbestand (NEVO). Dutch Nutrient Database 1989/1990. Zeist, The Netherlands: Stichting NEVO (in Dutch), 1989.
5. Black A. E., Bingham S. A., Johansson G., Coward W. A. Validation of dietary intakes of protein and energy against 24 hour urinary N and DLW energy expenditure in middle-aged women: retired men and post-obese subjects: comparisons with validation against presumed energy requirements. Eur. J. Clin. Nutr. 1997;51:405-413[Medline]
6.
Bouten C.V.C, Verboeket-van de Venne W.P.H.G., Westerterp K. R., Verduin M., Janssen J.D. Daily physical activity assessment: comparison between movement registration and doubly labeled water. J. Appl. Physiol. 1996;81:1019-1026
7. Buhl K. M., Gallagher D., Hoy K., Matthews D. E., Heymsfield S. B. Unexplained disturbance in body weight regulation: diagnostic outcome assessed by doubly labeled water and body composition analyses in obese patients reporting low energy intakes. J. Am. Diet. Assoc. 1995;95:1393-1400[Medline]
8. Davies P.S.W., Coward W. A. Total energy expenditure and energy intake in the pre-school child: a comparison. Br. J. Nutr. 1994;72:13-20[Medline]
9. Edholm O. G., Fletcher J. G., Widdowson E. M., McCance R. A. The energy expenditure and food intake of individual men. Br. J. Nutr. 1955;9:286-300
10. Edwards J. E., Lindeman A. K., Mikesky A. E., Stager J. M. Energy balance in highly trained female endurance runners. Med. Sci. Sports Exerc. 1993;25:1398-1404[Medline]
11.
Fjeld C. R., Brown K. H., Schoeller D. A. Validation of the deuterium oxide method for measuring average daily milk intake in infants. Am. J. Clin. Nutr. 1988;48:671-679
12. Goldberg G. R., Black A. E., Jebb S. A., Cole T. J., Murgatroyd P. R., Coward W. A., Prentice A. M. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur. J. Clin. Nutr. 1991;45:569-581[Medline]
13.
Kempen K.P.G, Saris W.H., M & Westerterp K. R. Energy balance during an 8-wk energy restricted diet with and without exercise in obese women. Am. J. Clin. Nutr. 1995;62:722-729
14. Lichtman S. W., Pisarska K., Raynes Berman E., Pestone M., Dowling H., Offenbacher E., Weisel H., Heshka S., Matthews D. E., Heymsfield S. B. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N. Engl. J. Med . 1992;327:1893-1898[Abstract]
15.
Livingstone M.B.E, Prentice A. M., Coward W. A., Strain J. J., Black A. E., Davies P.S.W, Stewart C. M., McKenna P. G., Whitehead R. G. Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. Am. J. Clin. Nutr. 1992;56:29-35
16. Livingstone M.B.E, Prentice A. M., Strain J. J., Coward W. A., Black A. E., Barker M. E., McKenna P. G., Whitehead R. G. Accuracy of weighed dietary records in studies of diet and health. Br. Med. J. 1990;300:708-712
17.
Martin L. J., Su W., Jones P. J., Lockwood G. A., Tritchler D. L., Boyd N. F. Comparison of energy intakes determined by food records and doubly labeled water in women participating in a dietary-intervention trial. Am. J. Clin. Nutr. 1996;63:483-490
18. Milne A. C., McNeill G., Zakary A. Weight change as an indicator of energy imbalance during 7 day weighed food intake studies. Ecol. Food Nutr. 1991;:281-289
19. Pannemans D.L., E & Westerterp K. R. Estimation of energy intake to feed subjects at energy balance as verified with doubly labelled water: a study in the elderly. Eur. J .Clin. Nutr. 1993;47:490-496[Medline]
20. Prentice A. M., Black A. E., Coward W. A., Davies H. L., Goldberg G. R., Murgatroyd P. R., Ashford J., Sawyer M., Whitehead R. G. High levels of energy expenditure in obese women. Br. Med. J. 1986;292:983-987
21. Schoeller D. A. How accurate is self-reported dietary energy intake?. Nutr. Rev. 1990;48:373-379[Medline]
22. Schoeller D. A., Bandini L. G., Dietz W. H. Inaccuracies in self-reported intake identified by comparison with the doubly labelled water method. Can. J. Physiol. Pharmacol. 1990;68:941-949[Medline]
23.
Schoffelen P.F.M, Westerterp K. R., Saris W.H.M, Hoor F. ten. A dual-respiration chamber system with automated calibration. J. Appl. Physiol. 1997;83:2064-2072
24.
Schulz S., Westerterp K. R., Brück K. Comparison of energy expenditure by the doubly labeled water technique with energy intake, heart rate, and activity recording in man. Am. J. Clin. Nutr. 1989;49:1146-1154
25. Sjödin A. M., Andersson A. B., Högberg J. M., Westerterp K. R. Energy balance in cross-country skiers: a study using doubly labeled water. Med. Sci. Sports Exerc. 1994;6:720-724
26. Velthuis-te Wierik E.J.M, Westerterp K. R., Van den Berg H. Impact of a moderately energy-restricted diet on energy metabolism and body composition in non-obese men. Int. J. Obes. 1995;19:318-324
27. Weir J. B. New methods for calculating metabolic rate with special reference to predicting protein metabolism. J. Physiol. 1949;109:1-9
28. Westerterp K. R., Donkers J.H.H.L.M., Fredrix E.W.H.M., Boekhoudt P. Energy intake, physical activity and body weight: a simulation model. Br. J. Nutr. 1995;73:337-347[Medline]
29.
Westerterp K. R., Kayser B., Brouns F., Herry J. P., Saris W.H.M. Energy expenditure climbing Mt. Everest. J. Appl. Physiol. 1992;73:1815-1819
30.
Westerterp K. R., Robach P., Wouters L., Richalet J. P. Water balance and acute mountain sickness before and after arrival at high altitude of 4,350 m. J. Appl. Physiol. 1996;80:1968-1972
31. Westerterp K. R., Verboeket-Van de Venne W.P.H.G., Meijer G.A.L., Hoor ten F. Self-reported intake as a measure for energy intake. A validation against doubly labelled water. Obes. Eur. 1991;91:17-22
32.
Weststrate J. A., Weys P.J.M, Poortvliet E. J., Deurenberg P., Hautvast J.G.A.J. Diurnal variation in postabsorptive resting metabolic rate and diet-induced thermogenesis. Am. J. Clin. Nutr. 1989;50:908-914
This article has been cited by other articles:
![]() |
C. E. O'Neil and T. A. Nicklas A Review of the Relationship Between 100% Fruit Juice Consumption and Weight in Children and Adolescents American Journal of Lifestyle Medicine, July 1, 2008; 2(4): 315 - 354. [Abstract] [PDF] |
||||
![]() |
A. Luke, R. Durazo-Arvizu, G. Cao, A. Adeyemo, B. Tayo, and R. Cooper Positive association between resting energy expenditure and weight gain in a lean adult population Am. J. Clinical Nutrition, May 1, 2006; 83(5): 1076 - 1081. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. M. de Castro Varying Levels of Food Energy Self-Reporting Are Associated with Between-Group, but Not Within-Subject, Differences in Food Intake J. Nutr., May 1, 2006; 136(5): 1382 - 1388. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. M. de Castro Dietary Energy Density Is Associated with Increased Intake in Free-Living Humans J. Nutr., February 1, 2004; 134(2): 335 - 341. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. B. E. Livingstone and A. E. Black Markers of the Validity of Reported Energy Intake J. Nutr., March 1, 2003; 133(3): 895S - 920. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. K Horner, R. E Patterson, M. L Neuhouser, J. W Lampe, S. A Beresford, and R. L Prentice Participant characteristics associated with errors in self-reported energy intake from the Women's Health Initiative food-frequency questionnaire Am. J. Clinical Nutrition, October 1, 2002; 76(4): 766 - 773. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. M McKeown, N. E Day, A. A Welch, S. A Runswick, R. N Luben, A. A Mulligan, A. McTaggart, and S. A Bingham Use of biological markers to validate self-reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom Norfolk cohort Am. J. Clinical Nutrition, August 1, 2001; 74(2): 188 - 196. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. H. Goris, E. P Meijer, A. Kester, and K. R Westerterp Use of a triaxial accelerometer to validate reported food intakes Am. J. Clinical Nutrition, March 1, 2001; 73(3): 549 - 553. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. H. Goris, M. S Westerterp-Plantenga, and K. R Westerterp Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake1 Am. J. Clinical Nutrition, January 1, 2000; 71(1): 130 - 134. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||