The Great Inca Rebellion
|  |
Student Handout
|
Bones: Growth Arrest Lines
Growth arrest lines, also known as Harris lines, show up
on X-rays of long bones as traverse lines (i.e. perpendicular to the long axis
of the bone). They mark points at which the bone's growth was resumed
after it had stopped; normally long bones grow continually through childhood
until the ends fuse. But when the child is malnourished and the body does not
have enough nutrients to go around, bones stop growing. When the crisis is over
bone starts to grow again. A line forms as the bone starts to lay down mineral
material again. Therefore, growth arrest lines point to short episodes of
malnutrition—caused either by infection, poor diet, or
starvation—followed by better conditions. An individual who is
chronically ill or malnourished would probably have fewer lines than someone
who suffered repeated short episodes of disease or starvation. Table 1 shows
the number of growth arrest lines seen on the tibias of the members of the two
populations.
The Indian Knoll community relied on hunting meat and
gathering fruits and nuts and other edible plants. If the Indian Knollers
couldn't find food in the winter, they likely suffered seasonal food
shortages. The Hardin Village community raised corn and other agricultural
crops and supplemented these products with meat. Because agricultural products
could be stored, the Hardin Villagers were more likely to have a regular supply
of food year-round.
Procedure
Review and graph the data.
Analyze the data for what it reveals about the health
of each community.
Use the information on this page and what you have
learned from the data to answer the questions listed.
Table 1:
Growth Arrest Lines
|
Indian Knoll
|
Hardin Village
|
Average
number growth arrest lines in lower leg bone (tibia)*
|
11.3
|
4.1
|
* Ages and sexes
are combined.
Questions
Write your
answers on a separate sheet of paper.
The skeletons
in both groups show growth arrest lines. What, if any, differences are there
between the occurrences of these lines in the two populations?
What conclusions could you draw from this data and the
information you have been given?
Write down
any other observations you have about this data set.
|