Research Question: Are there significant differences between the different U.S. active duty military services reported health
status?
Introduction
Perception
can many times be reality. The self-report of health perception has been validated
as a form of determining health status. Active duty military members are some
of the most important components of protecting the United States against foreign aggressors.
In 1997-1998 the military health system queried a sample military service beneficiaries regarding various measures
of patient satisfaction. One of the question (17) asked the beneficiary what
was their perceived health status (1 = Poor thru 5 = Excellent). This paper is
a written representation analyzing the hypothesis that there are significant difference (alpha = .01) between active duty
military members (Army, Navy, and Air Force).
The literature suggests that there are differences in the health status of active duty members. One study identifies there are some significant differences in the dental health between active duty military
forces. The Army, Navy, and Marines (50-60% range) were significantly lower than
the Air Force (89.5%).
Methodology
Utilizing SPSS (version 11.5) syntax function
was utilized to select only active duty service member (i.e., no dependents / retirees).
The active duty (n= 4127) file was saved for further evaluation. To get
a good view of the data (e.g., dispersion, missing data point, frequencies) descriptive statistics were calculated for the
number of active duty. The mean health status (with SD) was computed for all
active duty services. Crosstab was then utilized to obtain the dispersion
of active duty by service and reported health status. Then the general linear
model was utilized to see if there were any significant differences in the services by agean ANOVA was utilized to test for
significance of the model. Health status (dependent variable) was tested for
significance as a function of branch of military service (A/F/N) and age category. Significant
differences were found between services. A post-hoc test was conducted (Sheffes)
to see where the significance existed. All supporting computations and graphs
are attached to the end of this report.
Results
There were 142 missing cases (no health status reported). Greater than
half of the active duty members reported their health status was very good or excellent.
The general linear model reported that there are significant differences in reported health status between the services. The post hoc test (Sheffe) indicated that there were significant differences between
all three active duty services. The Air Force (3.79) reported the highest mean
health status, followed by the Navy (3.66) then Army (3.43). The graph of the
three services health status by age revealed that the Army and the Navy were virtually the same at age 18 to 24 years and
the Navy was virtually the same as the Air Force at 35 to 44 years. In all other
age categories the Air Force had the highest mean health status followed respectively by the Navy and the Army.
The impact of the results of this study could be that further study is warranted to determine why the armed services
do not have relatively the same health status. Are the factors demographic or
possibly environmental. e.g., Air Force might have less demanding jobs or more access to health services/health
promotion services.
Limitations
There are not really any inferences that can be extended to all of the active duty forces. This study was performed utilizing the data from only one TRICARE Region and might be flawed or biased
because of it. There were significantly less Air Force members than Navy or Army
in the model. This model might not be representative of all active duty services
as a result. A random sample of all active duty members may produce a more valid
model.