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Leading
Causes of Death
Data definitions, limitations
& uses
• Data Sources
There were
close to 12,000 deaths among residents in Leeds,
Grenville and Lanark (LGL) between 1981 and 1996.
During this time period, the total death rate
increased steadily for both men and women. In
fact, the death rate for both men and women
increased consequently every year since 1981,
through to 1996 (see
figure 1). This
means that in LGL there are more people dying now,
per year, per person, than there were 15 years
ago. The
most likely reason for this trend is that the
average age of the population is increasing. When the age of
the population is accounted for the mortality rate
in LGL actually fell between 1981 and 1996 (see figure 2). The
age-standardized mortality rate fell substantially
in the early 1980's but appears to be increasing
again. The
age-standardized mortality rate increased from 746
deaths per person in 1990-1992 to 787 deaths per
person in 1994-1996.
Compared to
Ontario, mortality is high in LGL. Overall, and in
eleven of the sixteen major classifications of
disease (ICD Chapters), mortality was higher in
LGL than in Ontario between 1994-1996 (see
figure 3). Of these ICD Chapter categories of
diseases, three; circulatory diseases (39%),
cancers (27%) and respiratory diseases (10%)
accounted for about 75% of all deaths in LGL in
1996 (see figure 4).
Within these ICD chapter categories the specific
leading causes of death in LGL were similar for
both men (see figure
5) and women (see
figure 6). They included ischemic heart
disease, lung cancer and stroke.
Below are links to charts which show
the total mortality rates, and Standardized
Mortality Ratios and rates for selected causes of
death. In most, cases these have been described
elsewhere but appear here because they are leading
causes of disease in LGL.
| Standardized
Mortality Ratios |
| Men
|
| Women
|
| All
residents
|
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Life
Expectancy
Life expectancy has for many years been used as a
basic indicator to describe the overall health of
populations. Life expectancy is very useful
because it allows reliable comparisons over time
between different regions and communities. Based
on the current death patterns in LGL a child born
between 1992 and 1996 could expect to live to the
age of 77. The life expectancy would be higher for
women (80.1 years) (see
fig_lef) than men (74.1 years) (see fig_lem). These
life expectancies are slightly lower than those
for all of Ontario.
Leading
Causes of Hospitalizations
Data on hospitalization provides information on
the leading health problems that contribute to
morbidity (illness) requiring hospitalization.
Hospitalization data can be used to help local
health agencies focus prevention efforts on
illnesses that create the greatest burden in their
communities. Between 1994 and 1997 there was an
average of approximately 18,000 hospitalizations
per year, in Leeds, Grenville and Lanark (LGL).
This amounts to a rate of almost 13,000
hospitalizations per 100,000 people. The leading
causes of hospitalization were circulatory disease
(2055 hospitalizations per 100,000 people),
followed by pregnancy (1400 separation per 100,000
people) and digestive disease (1327
hospitalizations per 100,000 people) (see figure 19).
Overall, women living in LGL were more likely to
be hospitalized than men (14,588 women versus11339
men per 100,000 in1994 to 1997). Although, a large
proportion of this difference can be attributed to
hospitalizations due to pregnancy, women were more
likely to be hospitalized for cancer, some mental
disorders, digestive and genitourinary disease.
Men on the other hand, were more likely to have
been hospitalized for circulatory and respiratory
disease (see figure
20).
Below are links to charts which present total
hospitalization rates, and Standardized
Hospitalization Ratios (SIRs) for selected causes
of hospitalization. Many of these hospitalization
charts have been described elsewhere; however, it
was important to replicate them here because of
their obvious relevance to this section - leading
causes of hospitalization in LGL.
|
Crude
Hospitalization Rates |
Standardized
Hospitalization Ratios |
|
|
|
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Potential
Years of Life Lost (PYLL)
Potential Years of Life Lost (PYLL) is an
indicator used to illustrate premature mortality.
PYLL represents the number of years not lived
by an individual from birth to age 75. Thus, the
indicator gives greater weight to causes of death
occurring at a younger age than to those at later
ages. By emphasizing the loss of life at an early
age, PYLL focuses attention on the need to deal
with the major causes of early deaths like cancer,
injuries and cardiovascular disease.
In Leeds, Grenville and Lanark (LGL) there were
67.8 PYLL per 1000 persons 0 to 74 years old
in1996. That is, for every 1000 people living in
LGL between the ages of 0 to 74 in 1996, there
were approximately 67 years of life lost. This
ratio was higher among males than females (89.9
PYLL in men versus 45.9 PYLL in women per 1000
persons 0 to 74 years old see
figure. Cancers (33%), injuries (20%) and
circulatory diseases (20%) accounted for the
greatest proportion of all PYLL. Of these three,
only PYLL due to injuries and circulatory diseases
have decreased over time. In LGL, PYLL due to
motor vehicle collisions (MVCs) (see figure 40),
ishemic heart disease (IHD) (see figure 41), and
stroke (see figure
42) decreased substantially between 1981 and
1996. Contrary to the aforementioned, PYLL due to
lung (see figure 43),
breast (see figure
44) and prostate cancer (see figure 45)
either increased or stayed the same during this
same period.
Health
Related Quality of Life
Health means different things to different people.
Therefore, asking someone how healthy they are is
often one of the best ways to determine their
health status.
Self-rated
Health (self-perceived health)
Self-rated health (or self-perceived) health has
been known to correlate with more
"objective" measures of health status,
health care utilization and longevity. Self-rated
health summarizes physical and mental health as
experienced by the individual in the context of
their own individual values and beliefs. It is
useful in defining the health of a community
because it measures positive aspects of health,
not simply the absence of disease, as many of our
other health status indicators do.
In the combined regions of Leeds, Grenville and
Lanark, Kingston, Frontenac, Lennox and Addington,
and Hastings and Prince Edwards (LGL/KFLA/HPE),
most residents 12 and older (66%) felt their
health was either very good or excellent in 1996 (see figure 47). The
proportion of residents 12 and older in LGL/KFLA/HPE
rating their health as either very good or
excellent was similar among both males and females
(see figure 48)
. However, there were some differences observed in
this region with age. For example, older residents
were less likely to report very good or excellent
health. That is, 48% of residents in this region,
65 and older reported very good or excellent
health, compared to 74.8% of residents 12 to19
years of age.
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Prevalence
of Long-term Disability
The prevalence of long-term disability is another
indicator that attempts to summarize the health of
the population. This indicator focuses on the
impacts of health problems on peoples' everyday
activities. Like self-rated health, it provides a
personal perspective on the effects of health
problems. In the combined region of LGL/KFLA/HPE,
13% of all men 12 and older and 11% of all women
12 and older reported having a long term
disability in 1996. Not surprising, the prevalence
of a long-term disability was more common among
residents 65 and older (20%) than among 20 to 44
year old residents (8%). Both men and women in
this region had a higher prevalence of long-term
disability than in Ontario (see figure 49).
Data definitions, limitations
& uses
Leading Causes of Death
Potential Years of Life Lost
Standardized Mortality Ratio (SMR)
Total (Crude) Death Rate
Prevalence of long-term disability
Self-rated Health
Standardized Incidence, Hospitalization &
Mortality Ratios
Age-Standardized Mortality Rate
Data Sources
Population Estimates Database
Ontario Mortality Database
Provincial Health Planning Database
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