Over the course of the last several issues we have examined three
nutritional tools that were created for the purpose of predicting
how the consumption of various foods may affect ones energy levels
throughout a typical day. Specifically, the ever-popular Glycemic
Index (GI),
the more practical Glycemic Load (GL)
and perhaps the most useful of all, albeit the most obscure of all,
Insulin Index (II)
have all been previously discussed.
In summary, the GI, used to
measure the rate at which blood glucose rises in response to 50
grams of a food item, clearly shows that the customary dichotomy
of “simple” vs. “complex” carbohydrates
is grossly inadequate. The GL multiplies the GI score by the number
of grams of total carbohydrates in a practical serving size, thereby
taking into account the actual volume of a given food item.
And
finally, the II, although research is relatively scant, reveals
the fallacies associated with the GI and assesses the rate at which
insulin is directly affected by the given food. This month we will
sink ravenous teeth into yet another potential resource for stabilizing
unwanted energy fluctuations and maintaining desirable bodyweights.
This resource is known as the Satiety Index (SI).

The Satiety Index
The Satiety Index is a means of measuring the degree of fullness that
a given food item provides following its consumption. The idea was
originally conceptualized by Dr. Susan B. Holt, a nutritionist working
at the University of Sydney in Australia. In short, the methodology
employed by Dr. Holt and her team of associates involved feeding
students a 240 calorie (1000 kjoules) portion of a given food. Following
intake of the given food, students were inquired about their feelings
of hunger every 15 minutes for a period of 2 hours.
These feelings
were rated along a Lickert scale of 1-10, with 1 being “not
hungry” and 10 being “very hungry”. At the end
of the two hour interval, the students were permitted to eat ad
libitum at a buffet while the team of researchers covertly observed
and recorded the quantities of food each one consumed. The purpose
was to see if the participants’ subjective ratings of hunger
paralleled their actual eating behaviors following the two hour
“fasting” period.
Indeed, the correlation was positive
and significant; higher ratings of hunger were associated with higher
consumptions of food at the buffet table. In regards to the food
items tested, there were some noteworthy findings in the received
scores.
In total, 38 food items were tested (the same items that
were tested in the II studies), which had been grouped into 6 broad
categories: Bakery Products, Snacks and Confectionary, Breakfast
Cereals and Milk, Carbohydrate-Rich Foods, Protein-Rich Foods, and
Fruits. (Please refer to the chart provided at the bottom of this
article.) As was the case in the GI and the II discussed previously,
white bread was used as a basis of comparison and assigned a value
of 100.
Foods that received scores higher than 100 were determined
to be proportionately more satisfying than white bread, whereas
foods that received scores lower than 100 were determined to be
less satisfying. So, for example, cheese and eggs, both receiving
a value of 150, would be considered 1.5 times as satisfying as white
bread. Ice cream, on the other hand, with a score of 96, would be
somewhat less satisfying.
The study showed some provocative and
head-turning results, especially when taking into account the GI’s
and II’s of these same foods. Of paramount importance, it
must be emphasized that despite the caveats concerning the flagrantly
flawed assumptions on which it stands (the topic of the last issue),
the GI nevertheless remains robust in predicting energy sways and
insulin responses to the 38 foods tested for the II!!

In Other Words
Although the underlying assumptions of the GI were shown to be violated,
and many foregone conclusions proved to be false, the GI and the
II are nevertheless statistically very highly and positively correlated.
Perhaps this fact alone suffices to allow the GI to save its battered
face and retain integrity in the “trainer’s toolbox”.
So is GI back in the house?? Well, that I guess is contingent upon
the Trainer’s Perspective…but I digress here.
Returning
now to the subject at hand, no significant correlation was shown
to exist between the GI and the SI or between the II and the SI!
Hence, the degree of satiety could not be reliably predicted by
either the glucose response or the insulin response of the consumed
food. This is very strange indeed; for it seems only natural that
a food that induces an increase in blood sugar should also induce
feelings of satiety. And yet the statistical analysis did not support
this anticipated response. There is yet another conundrum with which
to contend.
Despite the non-significant relationships existing between
GI and II with the SI, carbohydrates were nevertheless found to
be more satisfying than either protein or fat-laden food items.
This flies in the face of other data that have shown protein and
fat to be more satisfying than carbohydrates, due to the longer
length of time required for their digestion. Holt reasons that fat
is seen by the body as an emergency fuel, and it is therefore stored
in cells instead of being used for immediate energy.
Consequently,
the brain does not cut hunger signals, and the appetite rages on.
She argues further that carbohydrates are the opposite, since they
raise blood glucose levels. This conclusion, however, seems a non-sequitur,
since the GI and SI were not found to correlate! So we find ourselves
immersed in a hodgepodge that swallows up and corrodes our preconceived
notions of how things are supposed to work.
And the sizzling flames
of query only serve to thicken the stew as Holt goes on to note
that, although most high-SI food items were satisfying for the full
two-hours prior to the time of unrestrained eating, fruit and other
high-carbohydrate items such as rice were not.
Rather, these items
were satisfying for very short periods of time, probably due to
the combination of high overall volume and the fast gastric emptying
(since fruit is mostly water, fiber, and sugar). This leads one
to believe that all three macronutrients have definite roles in
the promotion of long-term satiety, but that the precise mechanisms
by which each one operates are convoluted and elusive. So, is there
anything that can be derived from this study that indicates or provides
a small taste of the foods that really satisfy?
In a nutshell, water,
fiber, and protein contents were all shown to correlate positively
with feelings of satiety. Fat, on the other hand, was shown to have
a significant negative correlation. So it appears as though sheer
volume has a greater bearing upon satiety than does calorie density.
Moreover, it appears that in the case of fat and refined high-caloric
foods, appetite really does come while eating!
Let us now briefly examine several of the specific food items
that have served to account for some of the equivocal statistical
analyses emerging from Dr. Holt’s investigations. First of
all, it is very surprising to note that potatoes, which score very
high on the GI and the II, are by far the most satisfying of the
foods tested. In fact, they are more than 3 times as satisfying
as white bread (SI = 323). French fries, on the other hand, are
much less satisfying (SI = 116).
The food with the lowest marker
of satiability is the croissant. The SI of 47 indicates that a croissant
is less than half as satisfying as the same amount of white bread!
Of the groups tested, Fruits proved to be most satisfying, with
an average SI of 170. However, it should be stressed that only four
fruits were tested (oranges, apples, grapes, bananas) and that there
was great variability in the scores among these items.
Within this
group, the SI’s correlated very well with the GI’s—in
a negative direction.
In other words, those items having the lower
GI’s (apples and oranges) were much more satisfying than those
with the higher GI’s (grapes and especially bananas). This
is in stark contrast to the “potato phenomenon” described
above, where the high-GI potato elicits a high SI response. (This
is an example of a positive correlation.) The SI’s of the
high-protein sources are also somewhat enigmatic.
Note that fish
is substantially more satisfying than beef, eggs, or cheese. Assuming
that the protein-to-fat ratios in these sources are similar, one
might speculate that the particular type of fat found in the sources
may be of relevance. It could be that many of the benefits ascribed
to the Omega-3 fatty acids found in fish spring from the very fact
that these essential fatty acids assist in producing feelings of
satiety.
The fact that yogurt (SI = 88) does not sufficiently satisfy
is somewhat disconcerting, given its high water and protein content.
It is another prime example of the apparent chaotic relationship
between the GI (upon which it registers low), II (it registers high),
and SI (it registers low). Other observations that deem highlighting
are that cornflakes, white pasta, and jelly beans all have equivalent
SI values.
However, Dr. Holt mentions that jellybeans (a very high-GI
food) in fact were not as satisfying, although the students tended
to munch afterwards as if they had been. She conjectures that the
jelly beans may have induced a feeling of nausea that prevented
the participants from fully indulging their appetites. In the Breakfast
Cereal and Milk group, it was discovered that porridge (oatmeal)
is more than twice as filling as Muesli.
Looking on at the Carbohydrate-Rich
Food group, one observes that whole grain breads are 50% more filling
than white bread.
and Confectionary category, popcorn
ranks twice that of either a candy bar or peanuts. And finally,
very surprisingly, among the Protein-Rich Food items, lentils do
not fair as well as baked beans; they in fact show a rather modest
SI value.

Recap
Whew! Alright Physio-Feasters, let us now briefly recap some of
the highlights that Dr. Holt heaped upon our plates. It is time
to step back from the table, pat our rounded bellies, and digest
the sustenance upon which we have just savagely overindulged!
- The Satiety Index (SI) is a means of measuring the degree of
satiety experienced following the consumption of 240 calories
of a given food item.
- The Glycemic Index (GI) is positively correlated with the Insulin
Index (II).
- The GI is not correlated with the SI.
- The II is not correlated with the SI.
- The most satisfying of the 6 groups on average was the Fruits
group.
- The least satisfying group was the Bakery Products group.
- Much variability exists amongst the SI’s of the food
items within any given group.
- Short-term satiety appears to be most influenced by the overall
volume of the food item.
- Water, fiber, and protein are all positively associated with
the SI.
- Fat is negatively associated with the SI.
- Carbohydrates, when consumed without fat and / or protein,
are filling, but only for a short time.
- Potatoes are more than three times as filling as white bread.
- Croissants are less than half as filling as plain white bread.
Okay! Deep breath! Hopefully by now it is strikingly clear that
the mechanisms that govern appetite and satiety are nearly incomprehensively
complex. However, several research projects directed at unearthing
these mechanisms have been undertaken over the years, and some valuable
insights have emerged from the sludge. So even though this discussion
has been a mere appetizer before the feast, this science scavenger
can’t possibly eat another bite!! Until next time—CHOW!!
For questions or general feedback on this article please feel free
to contact me at email: spikereinhard@aol.com.

The Satiety Index
Each of the following foods is rated by how much food people ate
after consuming them to satisfy their hunger.
All are compared to white bread, ranked as "100"
| Baker Products |
| Croissant |
47% |
| Cake |
65% |
| Doughnuts |
68% |
| Cookies |
120% |
| Crackers |
127% |
| |
|
| |
|
| |
|
| |
|
| |
|
| Snacks and Confectionary |
| Mars candy bar |
70% |
| Peanuts |
84% |
| Yogurt |
88% |
| Crisps |
91% |
| Ice cream |
96% |
| Jellybeans |
118% |
| Popcorn |
154% |
| |
|
| Breakfast Cereals
with Milk |
| Muesli |
100% |
| Sustain |
112% |
| Special K |
116% |
| Cornflakes |
118% |
| Honeysmacks |
132% |
| All-Bran |
151% |
| Porridge/Oatmeal |
209% |
|
|
| Carbohydrate-Rich
Foods |
| White bread |
100% |
| French fries |
116% |
| White pasta |
119% |
| Brown Rice |
132% |
| White rice |
138% |
| Grain bread |
154% |
| Wholemeal bread |
157% |
| Brown pasta |
188% |
| Potatoes, boiled |
323% |
| |
|
| Protein-Rich Foods |
Lentils |
133% |
Cheese |
146% |
Eggs |
150% |
Baked beans |
168% |
Beef |
176% |
Ling fish |
225% |
|
|
|
|
| Fruits |
Bananas |
118% |
| Grapes |
162% |
| Apples |
197% |
| Oranges |
202% |
|

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