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476 Amis J C/in Nuir 1994:60:476-87. Printed in USA. © 1994 American Society for Clinical Nutrition
Satiety after preloads with different amounts of fat andcarbohydrate: implications for obesity13
Barbara J Rolls, Sion Kim-Harris, Marian W Fischman, Richard W Foltin, Timothy H Moran, and
Susan A Stoner
ABSTRACT High intake of dietary fat may be key in both
the etiology and maintenance of obesity. Because a reduction in
the proportion of energy derived from fat will be accompanied
by an increase in the proportion of energy derived from carbo-
hydrate, this study compared the effects of these macronutnients
on eating behavior in obese and lean individuals. The effects of
difTerent amounts of fat and carbohydrate, covertly incorporated
into yogurt preloads, on subsequent food intake, hunger, and sa-
tiety were assessed. A group of I 2 normal-weight men, uncon-
cerned about eating and body weight (unrestrained), accurately
compensated for the energy in the pneloads regardless of the nu-
tnient composition. Other groups (ml = 12 per group), including
normal-weight restrained men and normal-weight and obese re-
strained and unrestrained females, did not show such orderly en-
ergy compensation; joule-for-joule, the high-fat preloads
suppressed intake at lunch less than did high-carbohydrate pre-
loads. These results suggest that a relative insensitivity to the
satiating effect of fat could be involved in the development and
maintenance of obesity. Am J C/in Nutr l994;60:476-87.
KEY WORDS Body weight, carbohydrate, energy regula-
tion, sex, hunger, obesity, fat, restraint, satiety
Introduction
High intake of fat may be important in both the etiology and
the maintenance of obesity. Obese individuals have an elevated
preference for fat in foods ( I , 2) and they consume a higher
proportion of fat in their diets than do normal-weight individuals
(3, 4). There is also evidence that they have an increased ten-
dency to deposit dietary fat as body fat (5). Because of the as-
sociation between dietary fat and obesity, a reduction in fat intake
is suggested as a key factor in most weight-control programs. To
aid this dietary change, the food industry has introduced a wide
range of no-fat, low-fat, and reduced-fat foods. The widespread
availability of reduced-fat foods raises many questions. First,
what impact will these foods have on diet composition and en-
ergy intake? Second, how will changes in diet composition affect
hunger and satiety? Third, do obese individuals and those who
are concerned with their food intake and body weight (ie, those
with high dietary restraint) respond to reduced-fat foods in the
same way as do normal-weight individuals? This study was de-
signed to address each of these questions.
A reduction in the proportion of energy derived from fat in the
diet is likely to be accompanied by an increase in the proportion
of energy derived from carbohydrate. Thus, it is particularly im-
portant to compare the effects of these two macronutrients on
food intake, hunger. and satiety. To date, the conclusions reached
in studies comparing fat and carbohydrate have varied widely.
Some studies suggest that the two nutrients have different effects
and that carbohydrate is more satiating than is fat (6-8). Other
studies indicate that fat and carbohydrate are equally satiating in
that changes in the energy content of foods associated with mod-
ification of either the fat or carbohydrate content are followed by
accurate energy compensation (9- 13). Although it is not yet
clear why these studies differ, it is likely that the results were
influenced by many variables, including the characteristics of the
individuals being tested, the types of foods used for both the
nutrient manipulation and the subsequent test meal, and the in-
terval between the pneload and the subsequent meal.
The experimental design should be determined by the question
being asked. For example, when, as in this study, the question is
whether the physiological effects of carbohydrate and fat affect
hunger and energy compensation differently, the manipulation
must be covert because both palatability (14) and beliefs about
fat content ( I 5 ) can affect subsequent intake. Thus, the sensory
properties ofthe manipulated foods must be matched. In addition,
the volume eaten and the protein content of the manipulated
foods should be the same because these variables also could in-
fluence intake. In this study we used yogurts, matched along all
of these dimensions, that varied systematically in fat and carbo-
hydrate contents.
Kissileff ( I 6) proposed that by systematically varying specific
dimensions of preloads (ie, energy on macronutrient content) the
satiating efficiency of that dimension can be calculated by relat-
ing intake in the subsequent test meal to the magnitude of the
preload along the chosen dimension. An important feature of our
study is that the relative satiating efficiencies of yogurts differing
in fat and carbohydrate contents were determined.
One feature of the experimental design that can influence in-
take after a preload is the time interval between the preload and
� From the Department of Psychiatry and Behavioral Sciences, The
Johns Hopkins University School of Medicine, Baltimore.2 Supported by the National Institute of Diabetes and Digestive and
Kidney Diseases grant DK-39 177.
1 Address reprint requests to BJ Rolls, Nutrition Department. Penn
State University. l()4 Benedict House, University Park. PA 16802.
Received November 24. 1993.
Accepted for publication April 4, 1994.
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ROLLS ET AL 477
TABLE ISubjcct charactcristtcs’
Group Age (/ IBW2 BMI’
Eating inventory
EAT” Zung1CR4 DI’ Hunger
5. (7(
Males. normal-weight unrestrained 26 ± 4,S 1(34 ± 6 24 ± I 4 ± 2 4 ± 3 4 ± 4 7 ± 2’ 34 ± 4
Males. normal-weight restrained 28 ± 6 1(X) ± 7 23 ± I 12 ± 3” 5 ± 4 3 ± 2 14 ± 6 34 ± S
Females. normal-weight unrestrained 27 ± 5” 93 ± 9 21 ± 2 6 ± 2 5 ± S 6 ± 3 9 ± 4 36 ± 8
Fen#{236}ales. tiormal-weight restrained 27 ± 4,’ 97 ± 9 22 ± 2 13 ± 3” 7 ± 3 S ± 3 IS ± 8� 39 ± 7
Females. obese unrestrained 32 ± S 60 ± 32” 36 ± 7” 6 ± 2 It) ± S 7 ± 4 2 ± 8 41 ± 7
Females. obese restrained 33 ± 5 134 ± 22” 31 ± 5” 13 ± 3” 9 ± 4 4 ± 2 14 ± 5 38 ± 6
/ .f� ± SD: is = I 2 per group.
2 Percentage of ideal body weight based on the 1983 Metropolitan Life Tables (24).
./ Weight (kg)fheight2 (m).
4 Cognitive Restraint Scale.
6Disinhihition Scale.n Eating Attitudes Test.
7 Zung Self-Rating Scale.
,� Significantly different from obese restrained females. P < 0.05.
9Significantly different from females, normal-weight restrained, P < 0.05./0 Significantly different from unmarked values in same column, P < 0.05.
// Significantly different from every other group. P < 0.05.
the test meal. The interval of 30 mm used in this study was based
on a previous study ( 10) in which the time course of the effects
of the high-fat and high-carbohydrate yogurt pneloads on sub-
sequent lunch intake was determined. The effects of the two pre-
loads did not differ significantly and the interval at which the
best energy compensation was seen was 30 mm (other intervals
tested were 90 and I 80 mm).
In our previous study we tested only normal-weight unre-
strained men and women. It cannot be inferred that obese or
restrained individuals will respond in the same way to manipu-
lations of fat or carbohydrate. Although previous studies are not
in complete agreement ( I 7), data do indicate that both obese ( I 8,
19) and restrained individuals (20-22) are less responsive to the
energy content of preloads on meals than are normal-weight un-
restrained individuals. Of particular interest is the question of
whether overweight or restrained individuals are relatively in-
sensitive to the satiating effect of fat. If so, this could lead them
to consume more energy and a higher proportion of fat in their
diets (3, 4), increasing their susceptibility to obesity.
Thus, this study used a dose-response preloading paradigm to
determine the satiating efficiencies of different amounts of fat
and carbohydrate in yogurt. Further, the study assessed how sex,
dietary restraint, and obesity influence the responses to these
macnonutnients. A preliminary analysis of these data was pre-
sented previously (23).
Subjects and methods
Subjects
Volunteers were recruited from the Johns Hopkins Hospital
community through posters and advertisements. Individuals who
called the laboratory were given a standard telephone interview
assessing age, height, weight, smoking status, and food restnic-
tions. Those who did not regularly eat breakfast or were dieting,
taking medication (except oral contraceptives), pregnant, or
breast feeding were not included in the study. All study partici-
pants were healthy nonsmokers between the ages of 2 1 and 40 y
with no relevant reported food restrictions (Table I).
After the initial phone interview, potential subjects completed
screening questionnaires including the Eating Inventory, which
measures degrees of dietary restraint (25). the Eating Attitudes
Test, which detects symptoms of an eating disorder (26). and the
Zung Self-Rating Scale (27), which detects depression. Only
those individuals scoring < 30 on the Eating Attitudes Test and
< 50% on the Zung Scale were asked to participate in the study
(Table 1 ). Subjects were grouped according to sex, dietary re-
straint, and body weight to form the following six groups of I 2
subjects each: I) normal-weight, unrestrained males; 2) normal-
weight, restrained males; 3) normal-weight, unrestrained fe-
males; 4) normal-weight, restrained females: 5) obese, unre-
strained females; and 6) obese, restrained females. The number
of subjects for each experimental group was chosen to achieve
the desired power of � 0.80, with r levels of � 0.05. Previous
investigations in this laboratory have produced significant results
with similar numbers of subjects. Normal weight and obesity
were defined as between 85% and I 15% and > 120% of ideal
body weight, respectively, according to the Metropolitan Life
Insurance weight tables (24). Dietary restraint was defined as a
score of > 10 for females and > 9 for males on the Cognitive
Restraint Scale of the Stunkard Eating Inventory. Examination
of a large number of scores on the Cognitive Restraint Scale
administered during screening for previous studies in our labo-
ratory revealed that, overall, males tended to score lower than
females. Thus, the different criteria for men and women for di-
etary restraint reflect the differing distributions of scores.
Finally, potential subjects were asked to complete a trial ses-
sion before starting the experiment to ensure that they liked and
would eat the foods to be served in the test meal. During this
session, subjects rated the pleasantness of the lunch foods on I ()0-
mm visual analog scales (VAS), which were anchored on the left
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478 FAT, CARBOHYDRATE, AND SATIETY
2 Analysis performed by Medallion Labs. Minneapolis.
by ‘ ‘not at all pleasant’ ‘ and on the right by ‘ ‘extremely pleas-
ant. ‘ ‘ Only those subjects rating � 80% of the foods at � 50 mm
were asked to continue in the study. They were then served the
self-selection lunch. This trial session served to familiarize sub-
jects with the experimental protocol and measures (ie, VAS) and
minimized any novelty effect that might confound the first ex-
penimental session.
Overall, the resulting groups of subjects accurately represented
the racial and ethnic distribution of the Johns Hopkins commu-
nity. However, there was some disparity in racial makeup among
groups; in particular, the groups of obese females had a higher
proportion of African-American individuals than did the other
groups.
All subjects signed a consent form explaining the experimental
procedure. To ensure that subjects were naive to the true purpose
of the study, the consent form stated that the study would ex-
amine the perceptions people had of different types of foods. The
consent form and experimental protocol were approved by the
Johns Hopkins Joint Committee on Clinical Investigation.
Foods and macronutrients
Five raspberry-flavored yogurts that varied in energy and mac-
ronutnient content were developed for use as preloads in this
study (Table 2). A medium-fat yogurt and a high-fat yogurt de-
rived most of their energy from fat in the form of a corn oil and
cream emulsion, with carbohydrate contents kept as similar as
possible. A medium-carbohydrate yogurt and a high-carbohy-
drate yogurt derived most of their energy from the carbohydrate
maltose, with fat contents kept as similar as possible. A control
yogurt contained a minimal amount of fat and carbohydrate and
was relatively low in energy. The protein content was kept as
similar as possible across the five yogurts, and the same volume
of yogurt was always given to the subjects. In a previous study
(10), males received 500-g and females received 350-g yogurt
preload with no adverse effects, such as nausea. The same
amounts of yogurt were used in this study. The high-fat and high-
carbohydrate yogurts were matched for energy and were more
energy dense than the medium-fat and medium-carbohydrate yo-
gulls (also matched for energy), which in turn were more energy
dense than the control yogurt (Table 2). The energy and macro-
nutrient contents of the yogurts were determined from sample
analyses performed by Medallion Labs, Minneapolis.
Lunch was a buffet-style meal that allowed subjects ad libitum
self-selection of a variety of foods (Table 3). The foods presented
in the lunch had varying amounts of fat, carbohydrate, and pro-
tein to allow subjects to vary not only energy intake but also the
proportions of macronutrients. All foods were weighed before
being served and reweighed after the subjects had eaten to obtain
the net amount consumed (g) of each food. Energy and macro-
nutrient intakes were calculated by using nutritional information
for the foods obtained from the manufacturer or Bowes and
Church ‘5 Food Values of Portions (‘ommonly Used (28).
TABLE 2Ingredients. macronutrient content, and energy density of the yogurt preloads’
Contents
Yogurt type
Control Medium CHO Medium fat High CHO High fat
Ingredients (g)
Colombo plain nonfat yogurt 270.2 240. 1 247.7 207.7 223.8
Gelatinsolution(l0()ggelatinand4O()gwater) 8.7 7.0 7.0 7.4 6.1
Aspartame/yogurt mix (3.5 g pure aspartame and 346.5 g Colombo
plain nonfat yogurt) 15.4 9.2 14.8 4.9 14.8
Raspberries, pureed 55.7 56.4 55.8 55.9 55.8
Oil and cream solution (120 g Mazola corn oil, 278.8 g Giant brand
heavy whipping cream, and I .2 g Tween 80) - - 24.7 - 49.5
Maltose stock solution (198.0 g Satin Sweet 65% maltose cornsyrup and 2.0 g Miragel 463 starch) - 37.3 - 74. 1 -
Energy from fat2
(kJ) 104.6 54.4 527.2 75.3 970.7
(kcal) 25.0 13.0 126.0 18.0 232.0(% ofenergy) 16 5 48 5 65
Energy from carbohydrate2
(kJ) 301.2 811.7 318.0 1209.2 297.1
(kcal) 72.0 194.0 76.0 289.0 71.0
(%ofenergy) 45 74 29 81 20Energy from protein2
(kJ) 267.8 230.1 251.0 209.2 225.9(kcal) 64.0 55.0 60.0 50.0 54.0
(% ofenergy) 39 21 23 14 15
Total energy2(kJ) 673.6 1098.3 1098.3 1493.7 1493.7
(kcal) 161.0 262.5 262.5 357.0 357.0
‘ All amounts are for one 350-g serving for females; males received 500 g. Mazola: Best Foods, Englewood Cliffs. NJ; Giant Food, Inc. Landover.
MD; Colombo Inc. Methuen, MA: Tween 80: Sigma Chemical Co. St Louis; Satin Sweet: Cargill Inc. Eddyville. IA: Miragel: EA Staley. Decatur.
IL.
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ROLLS ET AL 479
TABLE 3Amounts served. energy density. and macronutrient content(pcr 1(8) g) of foods used in the self-selection lunch’
Food item Amount Energy Energy Fat Carbohydrate Protein
g k_I k(#{149}(l/ g g g
Eckrich oven roasted turkey breast 1St) 615.0 47.0 7.2 0.0 18.7
Tuna salad ( I 23. I g Sttrkist Fancy White
Albacore Tuna. 61.5 g Hellmann’s
tnayonnaise. and 15.4 g celery) 2(8) 1234.3 295.0 26.0 0.0 16.0
Doritos Nacho Cheese Tortilla Chips 60 2()66.2 493.8 24.7 63.5 3.5
Doritos Light Nacho Cheese Tortilla Chips 60 18()4.9 431.4 15.7 70.6 7.8
Hellmann’s mayonnaise 25 2987.4 714.0 78.6 0.0 1.4
Gulden’s spicy brown mustard 25 477.0 1 14.0 30.0 30.0 30.0
McCadam mild cheddar cheese. sliced 75 1644.3 393.0 32.1 3.6 25.0
Roman Meal whole wheat bread 130 1092.0 261.0 0.0 47.8 8.7
Iceberg lettuce. leaves 40 62.8 15.0 0.0 2.0 1.0
Tomato. sliced 1(8) 81.6 19.5 0.2 4.3 0.9
Cucumber, sliced SO 56.5 13.5 0.2 2.9 0.6
Naturally Fresh creamy Italian dressing 40 1924.6 460.0 47.3 10.0 0.7
Walden Farms reduced-calorie Italian dressing 35 2 13.4 S I .0 0.0 9.0 0.0
H#{228}agen-Dazs chocolate ice cream 2(8) 1 129.7 270.0 7.0 24.0 5.0
Dole raspberry sorbet I 68 535.6 128.0 0.0 32.6 0.4
Milky Way bars. sliced 122 1910.8 456.7 17.3 69.3 4.7
Red delicious apple. cored and sliced 16() 245.6 58.7 0.4 15.3 0.2
Water 5(8) - - - - -
‘ Eckrich, Oak Brook. IL: Starkist Seafood Co. Long Beach. CA: Hellmann�s: Best Foods. Englewood Cliffs. NJ: Doritos: Frito Lay. Inc. Atlanta:
Gulden’s American Home Foods, NY: McCadam Cheese Co. Inc. Heuvelton. NY: Roman Meal: Schmidt Baking Co. Baltimore: Naturally Fresh.
Atlanta: Walden Farms. Inc. Linden. NJ: The I-I#{228}agen-Dazs Co. lnc, Teaneck. NJ: Dole Packaged Foods Corp. San Francisco: Milky Way: M&M/
Mars. Hackettstown, NJ.
Procedures
The experiment had a balanced, within-subject, repeated-mea-
sures design. with each subject participating in six sessions. Each
subject served as his or her own control, and the order of the
presentation of the conditions was counterbalanced across sub-
jects. Subjects received a preload of a fixed volume of yogurt
before lunch during five of the six sessions. with the yogurts
covertly varying in energy and macronutrient contents from ses-
sion to session. On one occasion, subjects received no preload,
which served as the baseline condition. For each subject, sessions
were separated by at least 3 d and were conducted on weekdays
only, by appointment. Two females, one obese restrained and one
normal-weight restrained, were dropped from the study for fail-
ure to keep scheduled appointments.
Subjects were instructed to eat the same breakfast before each
session � 3 h before their session appointment. They were also
instructed not to eat any foods or drink any beverages except
water between breakfast and the session time. For each subject.
every session was scheduled for the same time every session day,
the subject’s normal lunch time. On arrival at the laboratory,
subjects presented food diaries in which they had recorded all
the foods they had eaten from dinnertime the previous night to
the time they came to the laboratory. The session proceeded only
when review of the food diaries indicated that the subjects had
been compliant. Subjects who were noncompliant were resched-
uled for another day.
Subjects were then seated in individual cubicles where they
completed a series of 100-mm visual analog scales (VAS #1 ) to
rate their degree of hunger, thirst, fullness, desire to eat, percep-
tion of how much they could eat (prospective consumption), and
nausea. The first hunger rating on the first session was considered
the baseline hunger rating. For each subsequent session, the hun-
ger rating on VAS #1 was compared with the baseline rating to
ensure similar degrees of hunger from session to session. If the
rating differed by > 15 mm from the baseline rating, the subject
was rescheduled for another day. Subjects whose ratings consis-
tently varied by > 15 mm (ie. those who had to be rescheduled
more than once) were dropped from the study. Four normal-
weight female subjects (two unrestrained and two restrained)
were dropped from the study for inconsistent hunger ratings.
Subjects then received a yogurt preload or no load, depending
on the counterbalanced condition. Subjects were instructed to
consume the entire preload within IS mm. The mean (±SD) time
to eat the yogurt, across all subjects and conditions, was 7 ± 2
mm. Yogurts were presented with a VAS booklet for subjects to
rate the sensory properties of the yogurt as well as their desire to
eat the yogurt. Subjects were instructed to complete this booklet
after their first spoonful of yogurt. These ratings were compared
across conditions to determine whether subjects perceived that
the yogurts were different.
After finishing the yogurt. subjects completed another series
of visual analog scales (VAS #2) to rate their hunger. etc. They
were then allowed to read in their cubicles until lunch was served,
30 mm after the preload was presented. In the no-load condition
subjects completed VAS #2 10 mm after VAS #1 and sat quietly
in their cubicles for 30 mm until lunch. Immediately before
lunch, subjects again rated their hunger, etc. on VAS #3. When
lunch was served, subjects were told that they could eat as much
as they wanted of any of the foods offered. Subjects were allowed
a minimum of 20 mm and a maximum of 30 mm for lunch. They
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480 FAT, CARBOHYDRATE, AND SATIETY
were not allowed to read during lunch. After lunch, subjects corn-
pleted the session’s final set of hunger. etc. ratings (VAS #4) and
left the laboratory.
A debriefing questionnaire was completed by all subjects after
the completion of their final session. The questionnaire asked
subjects to state what they believed to be the purpose ofthe study
and to give comments relevant to the study.
Statistical (I?Ull\’SCS
Subject characteristics. Regression analyses were performed
to determine the significance of subject characteristics in deter-
mining lunch energy intake in each of the experimental condi-
tions. Forward stepwise regression analyses were performed by
using lunch energy intake and lunch macronutrient intake as the
dependent variables and age. sex, percent of ideal body weight,
each of the three Eating Inventory scale scores (cognitive re-
straint, disinhibition, and hunger), the Eating Attitudes Test
score, and the Zung Self-Rating Scale score as independent van-
ables. Regression analyses were performed for each experimental
condition separately.
Energy intake. Energy intake including and excluding the en-
ergy content of the preload was first analyzed by using repeated-
measures multivariate analyses of variance (MANOVA) with
group and condition as factors. A second set of analyses excluded
the no-load condition to test for significant differences between
the preload conditions.
When significant group-by-condition interactions were found,
data for each of the six groups were analyzed separately by using
repeated-measures analysis of variance (ANOVA). When any
statistically significant effects were encountered (Greenhouse-
Geisser probability � 0.05), post hoc comparisons ofmeans were
done by using Tukey’s honestly significant difference test to as-
certain which specific means differed.
The percent compensation at lunch for the preload energy was
determined for each group by subtracting the mean lunch intake
(kJ ) for each of the yogurt conditions from the mean lunch intake
in the no-preload condition (baseline intake), dividing the differ-
ence by the preload energy, and multiplying by 100.
Macromiutrient intake. Macronutrient intakes including and ex-
eluding the macronutrient content of the yogurt across the six
sessions were compared by using repeated-measures ANOVA
(BMDP, module 2V; BMDP Statistical Software, Los Angeles).
Macronutrient intakes were calculated as the percentage of en-
ergy consumed both at lunch and in total (lunch and yogurt)
derived from fat, carbohydrate, or protein.
Satiating efficiency. The satiating efficiency of the preloads
based on Kissileff’s model (16) was also examined. First, the
satiating efficiency across preloads for each subject was calcu-
lated separately by taking the negative of the slope generated by
plotting the preload energy against energy consumed at lunch,
for all six conditions. A satiating efficiency of I represents exact
compensation for the preload energy manipulations; > I repre-
sents a reduction of intake at lunch by > I I per preload joule
(ie, undereating or overcompensating), and < I represents a re-
duction of < I I for every preload joule (ie, overeating or un-
dercompensating). These satiating efficiencies were then corn-
pared across subject groups by using ANOVA.
In addition, satiating efficiencies were generated separately for
the fat yogurts (medium fat and high fat) and carbohydrate yo-
gurts (medium carbohydrate and high carbohydrate) by plotting
preload energy against energy consumed at lunch in the no-load,
control, medium-fat, and high-fat conditions and preload energy
against energy consumed at lunch in the no-load, control, me-
dium-carbohydrate, and high-carbohydrate conditions, respec-
tively. These satiating efficiencies were analyzed by using two-
way ANOVA with subject group and yogurt type as factors and
in two separate MANOVAs: one including only the females with
weight group and restraint as factors and another including only
the normal-weight groups with sex and restraint as factors.
Visual-analog-scale ratings. The self-reported baseline hunger
ratings (VAS #1 ) were analyzed by using repeated-measures
ANOVA with condition as the within-subject factor and sex,
weight group, and restraint as between-subject factors. In addi-
tion. hunger, thirst, and other analog ratings which were collected
on four different occasions during each session (VAS #1 -VAS
#4). were compared within groups across the five preload con-
ditions and across time by using two-way repeated-measures
ANOVA. These analyses assessed whether the manipulations of
the energy and macronutrient contents of the yogurts resulted in
different effects on hunger and satiety. To examine whether any
of the groups differed in their responses throughout the condi-
tions, absolute hunger ratings were compared in two MANOVAs
with condition and time (VAS #1 -VAS #4) as within-subject
factors: one including only the females with weight group and
restraint as factors and another including only the normal-weight
groups with sex and restraint as factors. Ratings of the yogurts
were compared across the five yogurt conditions by using one-
way repeated-measures ANOVA. Data were analyzed by using
SPSSIPC+ version 4.0. 1 (SPSS, Inc, Chicago) and BMDP, mod-
ule 2V statistical software for the personal computer. The Green-
house-Geisser probability level used to establish significance was
P < 0.05.
Results
Energy intake
When lunch intakes were compared across groups in a MAN-
OVA, with group and condition as factors, the main effect for
group was significant (F,5,,,,� = 3.66, P < 0.006). The mean lunch
intakes of normal-weight unrestrained males and obese unne-
strained females were significantly greater than those of the other
four groups (P < 0.05). As expected, the main effect of condition
was also significant (F1533�1 = 38. 1 1 , P < 0.001 ), such that across
groups, lunch intake in the no-preload condition was significantly
greater than lunch intake in every other condition (P < 0.05).
However, as shown in Figure 1, the interaction of group and
condition was also statistically significant (F125.3301 = 1.87, P
< 0.009), showing that groups responded differently across the
experimental conditions.
Lunch intakes were also compared across the five preload con-
ditions (ie, excluding the no-load condition) in a MANOVA with
group and condition as factors. Again, the main effect for group
was significant (F15,,,,,1 = 3.49, P < 0.008), such that the normal-
weight unrestrained males and obese unrestrained females con-
sumed more than the other female groups. The group-by-condi-
(ion interaction was also significant (Ft2o.2M1 = I .74, P < 0.03).Only the normal-weight, unrestrained males and females showed
differential lunch intakes across the preload conditions. Normal-
weight unrestrained males consumed significantly more in the
control yogurt condition than in either the high-carbohydrate or
the high-fat conditions (P < 0.05) whereas normal-weight Un-
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A. Normal-weight unrestrained males
I± :�i.:;;;;.::.acJ
800 .�
No load Control Med CHO Med Fat High CHO High Fat
%C0MP� n/a 92% 99% 98% 99% 105%
�1.d
C
200
0
No toad Ccn�o1 Med CHO Med Fat High CHO High Fat%COMP. n/a 248% 1 22% 108% 1 35% 108%
E. Obese unrestrained females
No load Control Med CHO Med Fat High CHO High Fat%C0MP� n/a 140% 1 12% 76% 1 02% 63%
11 � 11 I I � �
No load Control Med CHO Med Fat High CHO High Fat
%COMP’ n/a 38% 1 14% 70% 80% 68%
C. Normal-weight unrestrained females
ROLLS ET AL 481
7531
6694
5858
5021
4184
3347
2510
1674
837
A
B. Normal-weight restrained males
No load Coo�o1 Med CHO Med Fat High CHO High Fat
%COMP: n/a 242% 121% 126% 104% 70%
D. Normal-weight restrained females
1800
1600
1400
1200
1000�
800
600
400
200
F. Obese restrained females
FIG I. Mean total intake (lunch, 0, and yogurt preload, #{149})and percent compensation (%COMP) in each condition.Dashed lines represent the energy intake required for 100% compensation. Means with same letters are significantly
different, (P < 0.05). CHO, carbohydrate. � ± SEM: n 12 per group.
1800
1600
1400
1200
1000�
800 .�
600
400
200
0
restrained females consumed significantly more after the me-
dium-fat yogurt than after the high-carbohydrate yogurt (P <
0.05).
Thus, all groups except the normal-weight unrestrained males
and females consumed essentially the same amounts after the
preloads, regardless of preload type. The normal-weight unre-
strained males, however, appropriately adjusted their intakes
down after the high-energy yogurts compared with their intake
after the control (low-energy) yogurt. As shown in Figure 1 . nor-
mal-weight unrestrained males exhibited remarkably accurate
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482 FAT. CARBOHYDRATE. AND SATIETY
compensation at lunch for the preload energy in each of the five
preload conditions (98.4- 103.2c% of baseline). Other groups
compensated less well. Although the normal-weight unrestrained
kmales showed differential intake after some of the preload con-
ditions. their results were not as orderly as those of their male
counterparts. suggesting that they may have more difficulty in
making appropriate adjustments to energy manipulations.
When total intake (test meal plus yogurt energy) was examined
in a MANOVA with group and condition as factors. the main
effecl of group was significant (F,5,.,,1 = 5.33. P < 0.001): nor-
mal-weight males and obese unrestrained females consumed sig-
nificantly more energy than the other groups (P < 0.05). In
addition. the main effect of condition (F16 � = 6.72. P
< 0.0()l ) and the interaction of group-by-condition were also
significant(/�25 � = 1.65. P <� 0.03. Across all six conditions.
normal-weight unrestrained males. normal-weight restrained fe-
males. and obese unrestrained females showed no significant dif-
terences in total intake. Restrained males and normal-weight un-
restrained females. however. consumed significantly more total
energy in the no-load condition than in the control condition.
Thus. these groups showed an inappropriately large reduction in
lunch intake in the control condition. In addition. restrained
males ate significantly less total energy in the control condition
than in the high-carbohydrate and high-fat conditions (P < 0.05)
whereas normal-weight unrestrained females ate significantly
less total energy in the control condition than in the medium-fat
and high-fat conditions. Finally. obese restrained females showed
significantly higher total intake in the high-fat condition than in
the control condition (Fig I).
As detailed above. obese unrestrained females consistently
consumed more energy than the other female groups. However,
when total intakes were adjusted by body weight to the three-
fourths power (kilkg”4). as is often done in the nutritional sci-
ences. obese restrained females consumed significantly less en-
ergy than both groups of male subjects (P < 0.05), but adjusted
intakes of obese unrestrained females did not differ from those
of any other group (Fig 2).
Forward stepwise-regression analyses examining the signifi-
cance of subject characteristics in predicting energy intake
showed that the Eating Inventory Perceived Hunger Scale score
was an important variable in predicting intake. The Perceived
Hunger score was the only subject characteristic that was statis-
tically significant in every experimental condition. Subjects with
higher Perceived Hunger scores consumed more energy at lunch,
an effect seen regardless of the preload (P < 0.02).
%lacronutru’nt intake
The percent of energy consumed at lunch derived from fat and
carbohydrate did not differ significantly across the six conditions
for any group (Table 4). Consequently. the percentage of total
energy consumed in a session (lunch plus yogurt) coming from
fat and carbohydrate was significantly different across conditions
for all groups because the macronutrient content of the preloads
varied (P < 0.0()l ). Thus, within groups, although there is some
evidence for energy compensation. macronutnient-specific com-
pensation did not occur in any group. All significant differences
in macronutrient intakes were attributable to the manipulations
of the preloads. Comparison of fat, carbohydrate, and protein
intakes as percent of lunch energy among the six subject groups
revealed no statistically significant differences. Although not
listed in Table 4, protein intake remained relatively constant
across all six conditions for all groups. with and without the
preload protein included (�l5%).
Satiatielt�’ eJ’fl(i(’fl(l of preloads
When Kissileff’s model for the satiating efficiency of foods
was used ( 16). the preload energy was plotted against the energy
consumed at lunch to examine how satiating the yogurts were
within each subject group. Comparison of the satiating efficien-
cies of the two yogurt types (one in which the fat content was
varied and one in which the carbohydrate content was varied)
resulted in a significant main effect ofyogurt type (F117�1 = 9.08,
P < 0.004) but showed no significant differences across groups
nor an interaction effect for yogurt type and subject group. The
mean satiating efficiency for the yogurts that varied in fat content
was 0.82 whereas the mean satiating efficiency for the yogurts
varying in carbohydrate content was I .03. Thus, overall, the car-
bohydrate yogurts were more satiating than were the fat yogurts
(Fig 3.
To investigate this difference further, two additional repeated-
measures MANOVAs were performed. The first examined only
the female groups with the between-subjects factors of weight
group (normal vs obese) and restraint (restrained vs unrestrained)
and the within-subject factor of yogurt type. This analysis re-
vealed a main effect of yogurt type (F11.�1 = 7.56, P < 0.01)
with no other effects or interactions, such that in the females the
carbohydrate yogurts were more satiating than the fat yogurts. In
the second analysis. only the normal-weight groups were exam-
med with sex and restraint as between-subjects factors and yogurt
type as the only within-subject factor. Again, there was a signif-
icant effect of yogurt type (F11�.,, = 9.72, P < 0.004), with no
other significant effects or interactions. The main effect of re-
straint was nearly significant (F11��1 = 3.85, P = 0.056), such
that. overall, satiating efficiencies tended to be higher in the un-
restrained normal-weight groups than in the restrained normal-
weight groups. Comparison of the overall satiating efficiency of
the preloads across the six groups revealed no significant differ-
ences.
Visual-analog-scale ratings
Analysis of baseline hunger ratings (VAS #1 ) across the six
conditions and between groups revealed no significant effects or
interactions, showing that the subjects did not differ systemati-
cally from condition to condition, nor were there any differences
attributable to sex, weight group, or restraint; all groups started
at the same degree of hunger in each of the six sessions. Within
groups, absolute ratings of hunger. thirst, fullness, desire to eat,
prospective consumption, and nausea did not differ significantly
across the five preload conditions. As expected, there was a sig-
nificant effect of time in each of these analyses (P < 0.05), with
the exception of nausea (which remained unchanged), showing
that the subjects, including the obese females, are responsive to
the consumption of preloads and test meals with respect to hun-
ger, thirst, etc. When absolute hunger ratings throughout each
condition were analyzed between groups by using MANOVA,
there were no significant effects or interactions, with the excep-
tion of time. The effect of time was significant in both analyses:
in the normal-weight groups with sex and restraint as factors
(F1,,,71 57.07, P < 0.0()l ) and in the females with restraint and
weight-group as factors (F11.1521 = 64.29. P < 0.()01 ). Again, this
demonstrates that all groups responded similarly with respect to
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MALES FEMALES
C’)
0)
-3
normal-wel ht normal-weight normal.wel ht normal-weight obese obese
unrestraln..d restrained unrestrain..d restrained unrestrained restrained
ROLLS ET AL 483
Co0
C.)
0)
Co0
FIG 2. Total intake across all conditions. A: Absolute intake; B: intake adjusted for body weight to the three-fourths
power (kJ/kg314). Means with same letters are significantly different. P < 0.05. � ± SEM: n 12 per group.
the consumption of the preloads and test meals, regardless of
condition (Fig 4).
Comparisons of the ratings of the five yogurt preloads pro-
vided evidence that the different yogurts were similar hedoni-
cally. The only statistically significant difference found was in
the rating of the creaminess of the yogurt; paradoxically. normal-
weight restrained males rated the creaminess of the high-carbo-
hydrate yogurt (76 mm) significantly higher than that of the high-
fat yogurt (61 mm) (P < 0.05). No differences among yogurts
were found in any of the ratings of the other five subject groups.
These data confirm that the energy and macronutrient manipu-
lations were not systematically detected by the subjects.
Debriefing
Subject responses to the debriefing questionnaire showed that,
whereas many subjects believed that intake after yogurt was be-
ing examined, none were able to determine that the yogurts van-
ied in energy and macronutrient contents. Consequently. no sub-
ject was able to state correctly the purpose of the study.
Discussion
The most remarkable finding in this study was the accurate
energy compensation after preloads shown by the normal-weight,
unrestrained men. This confirms and extends our previous study
in which we found that a similar group of young men accurately
adjusted their lunch energy intake 30 mm after both high-fat and
high-carbohydrate yogurts without a change in macronutnient in-
take. The intriguing question is how subjects are able to adjust
their lunch intake so soon after the preloads. The VAS ratings
indicate that the subjects could not distinguish the yogurts on the
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Normal-weight Nonnal-weight Normal-weight Normal-weight Overweight OverweightUnrestrained Restrained Unrestrained Restrained Unrestrained Restrained
484 FAT. CARBOHYDRATE. AND SATIETY
TAI3I.E 4
Macronutrient i ntake from lunch’
Condition
Norrnal-wei gIlt males Nortnal-weig fit females Overweigh t females
Unrestrained Restrained Utirestrai tied Restrained tJnrestrai tied Restrained
F�tt
No load 45 + 2 47 :t I 46 ii 2 50 t I 54 if I 49 ± 2
Control 48 � 2 41 � 4 49 it 3 50 � 3 53 � I SI � 2
Medium carbohydrate 48 � 2 43 It 2 44 �t 2 49 t 2 51 � I 48 � 2
Mediurnfat 44’2 46t2 SOit2 52t2 54i�i2 50±3
High carbohydrate 49 � 3 42 ± 3 45 ± 2 47 ± 3 52 ± 2 50 ± 3
High fat 45 :� 3 46 ± I 46 ± 3 53 ± 3 50 ± 2 51 ± 3
Carbohydrate
Noload 39�2 37±1 39±3 35±2 27±2 34�2
Control 36 t 3 47 ± 6 36 ± 4 33 ± 3 30 ± 2 27 ± 3
Medium carbohydrate 34 ± 3 40 ± 2 40 ± 3 37 ± 3 31 it 2 32 ± 2
Medium fat 41 ± 4 38 ± 4 35 ± 3 30 ± 3 29 ± 2 29 ± 4
Highcarbohydrate 33i�3 45±5 37±2 35±4 31±2 28±4
Highiat 38if4 35±3 39±4 30±3 34±2 28±3
‘ j: � SEM: ii = I 2 per group. Protein intake stayed relatively constant regardless of condition.
basis of the sensory properties. In addition, the yogurt preloads
were all the same volume and had similar protein contents. Thus,
these results indicate that these subjects have mechanisms for the
rapid detection of the energy content of foods.
We (29) recently completed a study that shows that some mdi-
viduals have preabsorptive satiety mechanisms that respond rapidly
to both carbohydrate and fat. When infused intraga.stnically over 15
mm with 2()92 Id (500 kcal, the same amount as the preloads in the
present study) of either fat (Liposyn: Abbott Laboratories, Abbott
Park, IL) or carbcthydrate (dextrose) and offered lunch after 30 mm,
young, normal-weight. unrestrained male subjects accurately com-
pensated for the energy in the infusate. Compensation was less ac-
curate when the nutrients were infused at a slower rate intragastni-
cally (over 3.5 h), and no compensation was seen when the nutrients
were infused intravenously (30). Similar results showing accurate
energy compensation after carbohydrate or fat gastric preloads have
been seen in other species (31).
We hypothesize, based on the present study and previous find-
ings ( 10, 32), that there are multiple mechanisms for satiety that
may be active at different times after food intake. One set of
mechanisms is engaged rapidly. ie, 20-30 mm after the start of
eating. and therefore likely depends on preabsorptive changes.
These preahsorptive mechanisms, including gastric distension,
gastric emptying. and nutrient stimulation of the gastrointestinal
tract, may account for the results in this study. In many preload-
ing studies food was not offered this soon after a preload and
consequently there was no opportunity to observe rapid satiety.
In general. in studies in which food was offered 30 mm or sooner
after a preload to normal-weight, unrestrained males. energy
compensation was observed (10. 33, 34). Many other studies of-
fered food between I and 4 h after the preload and in these studies
poor energy compensation is observed (35-37). Furthermore,
depending on when subsequent food is offered, late satiety also may
not be recorded. For example. in a previous study in which the
C.)Ca)0
Lu
C
Co
COC/)
FIG 3. Satiating efficiencies of yogurts with various carbohydrate (U) contents compared with the satiatingefficiencies of yogurts with various fat (0) contents for each subject group. 5� ± SEM: n = 12 per group.
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A. Normal-Weight Unrestrained Males B. Normal-Weight Restrained Males
100
90
80
70
60
0 10 20b.aclirie �x..L.yog�at
Time (mm)
C. Normal-Weight Unrestrained Females
20 30 40 50 60
Time (mm)
D. Normal-Weight Restrained Females
EE
C
CCC
E
CCC
C’CCC
EE
CCC
.=
‘C� 40
CCC
� 30
20
10
100
90
80
70
60
so
40
30
20
EE
C
IVDCC
EE
CC0
aI..a.C’DCC
EE
DCC
a
VDCC
Time (mm) Time (mm)
FIG 4. Mean visual analog scale hunger ratings (mm) for each of the five preload conditions: control, -4-- : medium
carbohydrate, -0-- ; medium fat, -U-- ; high carbohydrate, -0-- ; and high fat, ---- . Ratings are at four timepoints: baseline, or before preload; after preload; before lunch; and after lunch. ii 12 per group.
Time (mm)
E. Obese Unrestrained Females
10
Time (mm)
F. Obese Restrained Females
10 20 30 40 50 60 10 20 30 40 50 60
ROLLS ET AL 485
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486 FAT, CARBOHYDRATE, AND SATIETY
energy manipulation was at breakfast, compensation was not ob-
served at lunch, 3.5 h later. but was observed at dinner, 7 h later:
thus, because no meal was offered shortly after breakfast, rapid sa-
tiety was missed, but compensation was observed in the evening
meal (32). Had this study not offered an evening meal, this corn-
pensation may have been missed altogether. The effects on foodintake at these later times probably depend on ingested foods or
nutrients becoming metabolic fuel. Oxidation ofthe fuel by the liver
may be one mechanism involved in this type of satiety (38).
An important feature of the present study was that the dose-
response preloading paradigm allowed the relative satiating ef-
ficiencies of the yogurts that varied in fat and carbohydrate con-
tent to be calculated. The normal-weight, unrestrained males re-
sponded similarly to the variations in fat or carbohydrate,
supporting the conclusion reached in our previous studies ( 10-
1 2) that the two nutrients do not differ in their effects on satiety.
However, when analyses were performed over all the groups to-
gether, fat in the yogurt was significantly less satiating than car-
bohydrate. In the restrained and overweight subjects there was a
tendency for the satiating efficiency of fat in yogurt to be < I .0,
indicating that in these groups there is some insensitivity to the
satiating effect of fat. It is possible that individuals who are over-
weight or concerned with their weight have different physiolog-
ical responses to fat in foods than do normal-weight unrestrained
individuals. In view of the importance of dietary fat in obesity
( 14). this preliminary observation requires confirmation.
Although we saw compensation for the different energy con-
tent of the preloads in some groups, there was no evidence that
the macronutrient composition of the lunch was adjusted in re-
lation to the composition of the preloads. The percentage of fat
or carbohydrate in the lunches did not vary significantly across
conditions. Thus, if subjects consumed the high-fat preload, the
overall proportion of fat in the preload and lunch combined was
higher than in the other conditions. These results confirm previ-
ous findings (10- 1 2, 32) and indicate that the consumption of
reduced-fat foods instead of the full-fat versions can help to re-
duce the daily percentage of energy from fat. Note, however, that
these results are in response to covert manipulation of fat content;
information about the fat content of foods may affect intake. In
a recent study the perception of the fat content of the test food
was manipulated (15). Normal-weight women who received yo-
gurt labeled as low fat consumed more energy during a subse-
quent lunch than after an isoenergetic yogurt labeled as high fat.
Thus, the benefit of consuming low-fat foods will depend on the
motivation of the consumers; if they use the consumption of a
low-fat food as an excuse to eat other high-fat foods, there may
be no overall reduction in fat intake.
Failure to separate subjects according to sex, dietary restraint,
and body weight could be part of the explanation for inconsis-
tencies among prior studies. None of the other groups tested
showed the orderly energy compensation observed in the normal-
weight, unrestrained men. The accurate energy compensation
shown by the young. normal-weight, unrestrained men confirms
our findings with similar subjects after other experimental ma-
nipulations of the energy and macronutnient contents of preloads
or meals (10- 1 2, 32). Thus, if the goal of an experiment is to
study the normal physiology underlying intake regulation, this
group of subjects is the optimal choice. It is of interest that, even
as children, boys show better energy compensation after preloads
than do girls (39). Future studies will determine whether sex dif-
ferences persist throughout the aging process.
In this study the quantity of yogurt administered to subjects
was dependent on the subject’s sex because in our laboratory
females typically consume 70�Yc of the energy intakes of males.
Thus, the preloads were adjusted for sex by that amount. As we
have seen previously. the normal-weight unrestrained and re-
strained females consumed �70% of the amount consumed by
the equivalent group of males in the no-load condition. This re-
lationship also held for the obese restrained group, but obese
unrestrained females ate almost as much as did unrestrained
males. Thus, this group received less energy in the preloads in
relation to their baseline intakes than the other groups. It is pos-
sible that female groups showed less precise energy compensa-
tion than unrestrained males because the energy differences be-
tween the preloads were smaller, although clearly this argument
would not apply to the restrained males.
The restrained subjects in this study ate similar amounts at
lunch regardless of the content of the preloads. We obtained a
similar result in a previous preloading study in which females
actively dieting to lose weight ate the same amount at lunch re-
gardless of the content of the preloads (33). Many studies have
indicated that individuals with high dietary restraint may impose
rules on their eating behavior that override physiological cues
about appropriate amounts to eat (40). Another possibility that
should be investigated is that restrained individuals, or those ac-
tively dieting, impose such rules about the amount they should
eat as a way of coping with impaired hunger mechanisms.
Categorizing subjects according to their degrees of dietary re-
straint yielded data that suggested different eating responses
within the normal-weight males and within the obese females,
which may have been obscured if dietary restraint had not been
taken into consideration. Restrained males have not been inves-
tigated previously but should be included in future studies be-
cause they showed poor energy compensation in contrast to the
unrestrained males. Note that this group was difficult to recruit
because young, normal-weight males tend to be unrestrained. We
found it even more difficult to recruit both unrestrained and re-
strained obese males and thus were unable to run these subjects
in this study. Obese women are not usually categorized according
to their restraint score, but this study indicates that restrained and
unrestrained obese women do behave differently; unrestrained
obese women ate more food at lunch and were significantly heav-
ier than the restrained obese women. Unrestrained obese females
appeared to show better energy compensation than the restrained
group, but this may in part be due to differences in their baseline
intakes. Note that many of the restrained and unrestrained obese
women were African Americans, which probably reflects their
greater cultural acceptance of obesity (4 1).
A major challenge in studies of food intake is to understand
why some individuals show better regulation than others. This
study indicates some characteristics of subjects that should be
considered when assessing energy compensation; these include
sex and dietary restraint. A clear effect of body weight indepen-
dent of restraint was not seen in this study.
In summary, this study shows that some individuals (ie, nor-
mal-weight. unrestrained males) can show accurate energy corn-
pensation after preloads that vary in fat and carbohydrate con-
tents. This compensation is seen 30 mm after the start of eating
the preloads and therefore probably depends primarily on preab-
sorptive satiety mechanisms or receptors in the gastrointestinal
tract. Further studies are needed to define the mechanisms in-
volved in this rapid, accurate energy compensation. The other
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ROLLS ET AL 487
groups tested showed less precise energy compensation and ap-
peared to have a relative insensitivity to the satiety value of fat.
Some investigators have suggested that dietary fat has only a
weak effect on satiety (6). Although the results of this study
indicate that in some individuals fat had a significantly lower
satiating efficiency than carbohydrate, this effect was small and
does not suggest that energy from fat is undetected by satiety
mechanisms. It will be important to determine whether this rel-
ative insensitivity to fat is associated with the overconsumption
of fat and energy and whether it could be important in the eti-
ology or maintenance of obesity. 0
We thank Stephen P Kaufman and Yoplait Research & Development
of General Mills. Inc. for their assistance in the development of the yo-
gurt preloads. We also thank David J Shide for his assistance in writing
the text and Jane Gamer. Paul Pirraglia. and Amy McNelis for their
assistance in data collection.
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