The effect of gender, on
lifespan of humans born before 1900, buried in Prairie Home Cemetery, Waukesha,
Wisconsin.
Diane Roethel
Abstract
I tested whether females who were born prior to the year
1900, and buried in Prairie Home Cemetery, Waukesha, Wisconsin, lived longer
than males born during this time. My
study showed that being female did not cause an increase in the overall
lifespan of females buried in Prairie Home Cemetery, Waukesha, Wisconsin, who
were born prior to 1900 (P = 0.44).
Keywords: female, lifespan
Introduction
There has been an increase in the
length of life, with the eradication of some diseases. Shortly after the year 1900, the total
lifespan for both males and females sharply increased, from forty years to
sixty years, in 1930 (Wiehl, 1933). I
hypothesized that females born before the year 1900 and buried at Prairie Home
Cemetery lived longer than males with these same criteria. I hypothesized females would have lived
longer because it was the man who worked and went to war in these years.
Materials and Methods
On October 12, 2011, at 1000, I conducted my study at
Prairie Home Cemetery, Waukesha, Wisconsin.
The starting point for my data was determined by spinning a map of the
cemetery, and I placed a pen on it while my eyes were closed. I collected birth years and death years on
100 females and 100 males, who were
born before the year 1900.
This data was then separated into ten different age categories with a
range of ten years in each category, beginning with birth-year. Data was entered into an Excel spreadsheet on
life expectancy, created by Rebecca Burton, Ph. D., at Alverno College,
Milwaukee, Wisconsin. I graphed and analyzed
the data using a one tail, type three, T-test, on Excel© for Windows
2007©.
Results
There was no difference between being female
and lifespan (Fig. 1, P =0.44). The mean
of the lifespan of a female born before 1900 and buried at Prairie Home
Cemetery was 30.34 years, with a standard deviation of 23.12. The mean of the lifespan of a male born
before 1900 and buried at Prairie Home Cemetery was 31.78 years with a standard
deviation of 22.68.

Figure 1. Mean (+/- S.D.) of age in females and males.
Discussion
My data refuted the hypothesis that females would have
lived longer than males born before 1900 and buried in Prairie Home Cemetery,
Waukesha, Wisconsin. My data was similar
to the findings of Thatcher (1999), who found that males and females have an
equal chance of dying at any age. This
may be because for there to be an increase in life expectancy at any age, there
needs to be a decrease in the number of people dying in the age groups past
fifty years old (Wiehl, 1933). In the Massachusetts research, from 1789 to
1929, females lived slightly longer than males (Wiehl, 1933). Overall, the difference in lifespan between
males and females in the Massachusetts study, from 1789 to 1929, was two years
difference (Wiehl, 1933). This evidence is also similar to my data.
There were some limitations to my study, including which
subjects to include, as they were buried in two sections of the cemetery. This limited how random my sample size could
be. There were also a couple of outliers
in my research; they lived well into their nineties or to be past one hundred years old. If I were to repeat this study, I would get
data from more than one cemetery in the area. This is a sample of 100 females and 100 males
from one cemetery. The additional cemeteries would need to be ones that have
been in practice since the 1800s and have had at least 100 male and 100 female burials
since that time.
Several of
the tombstones of the people included in my research fought in the
Spanish-American war or assisted those fighting in the war, during
1898-1902. It was during these years,
and in places where mosquitoes were prevalent that the then deadly disease,
yellow fever, spread (Lusted, 2010). Prior
to eliminating the disease, yellow fever was more of a concern to people in the
war than a human enemy (Lusted, 2010).
There also was the widespread flu, during 1918. This virus killed more people, regardless of
age, sex or race than any war or disease before, or since (Lusted, 2010).
It would also be interesting to study the flu epidemic of
1918 to find out how it impacted life expectancy in the greater Milwaukee
metropolitan area.
LITERATURE CITED
Lusted,
M.A. (2010). Epic Epidemics. Cobblestone.
31(7), :20. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=khh&AN=53478595&site=ehost-live
Thatcher,
A.R. (1999). The Long-Term Pattern of Adult Mortality and the Highest Attained
Age. Journal of the Royal Statistical
Society. Series A (Statistics in Society).
162(1), :5-63. Retrieved from
http://www.jstor.org/stable/2680465.
Wiehl,
D. G. (1933). Trends in Mortality and
Life Expectancy. The Milbank Memorial Fund
Quarterly Bulletin. 11(1), :61-72. Retrieved from
http://www.jstor.org/stable/3347524.