Causes of widening life expectancy inequalities in Quebec, Canada, 1989-2004.
Adam-Smith, Jessica ; Harper, Sam ; Auger, Nathalie 等
There is an increasingly recognized relationship between health and
the socio-economic context in which people live. Material deprivation of
areas, whether measured for census tracts, neighbourhoods or regions,
has been associated with increased mortality, even after adjusting for
individual-level socioeconomic differences. (1) In the province of
Quebec, Canada, socioeconomic inequalities in health outcomes have been
demonstrated at several geographic scales. (2-5) Neighbourhood
characteristics may shape social and economic opportunities and
health-related behaviours. Socio-economic context may also influence
health more directly through stress, psychosocial factors, food
availability, crowding or pollution. (1,6)
Recent studies in several industrialized settings, including
Quebec, have found that inequalities in life expectancy between affluent
and deprived areas have grown. (7-9) Understanding which causes of death
are contributing to the growth of these inequalities is important for
public health initiatives aiming to equitably improve mortality rates.
(10) Potential for these initiatives to succeed is enhanced when there
are clear targets for intervention. The objective of this study was to
evaluate the age- and cause-specific components contributing to trends
in life expectancy inequality between the most- and least-deprived areas
in Quebec.
METHODS
Death information was extracted from vital statistics of the Quebec
health ministry, which provided age, sex, cause of death, and place of
residence of decedents. We analyzed three periods: 1989-1992, 1995-1998
and 2001-2004. Population counts were obtained from census projections
for the central year of each period, adjusted for under-enumeration.
(11)
We ranked areas of Quebec into deciles of material deprivation and
calculated estimates of life expectancy at birth for each decile and
period. Areas of analysis were territories of the Local Community
Service Areas (CLSCs). Material deprivation level was based on a widely
used composite index developed for Quebec. (12) Further details about
area classification are indicated in Appendix 1. Life expectancy was
calculated using standard life tables (13) with 20 age groups (<1,
1-4, 5-9.... 85-89, 90+ years).
Examination of trends in life expectancy revealed that the most
striking inequality was present between the most- and least-deprived
deciles (Table 1b), and that life expectancy in the leastdeprived decile
was well above the life expectancy in other deciles in every period. To
avoid masking this difference, data were not aggregated into quintiles.
Inequality in life expectancy was defined as the absolute difference
between life expectancy of the least- and most-deprived deciles. We used
Arriaga's decomposition method to calculate the contribution of age
group and cause of death to the change in inequality over time. (14,15)
This method uses differences in all-cause and cause-specific mortality
rates within each age group to estimate the contribution of each
age-cause group to the total inequality in life expectancy at birth
between two populations. For any given period, the total inequality in
life expectancy at birth between the first and tenth deciles is the sum
of the age-cause specific components. The total contribution of a
particular age group to the inequality in life expectancy is the sum of
its contributions across all causes of death, and the contribution of a
particular cause of death is the sum of its contributions across age
groups.
We analyzed ten leading causes of death for men and women in
Quebec. (16) Important cancers (prostate, lung, breast, colorectal),
motor vehicle accidents, and causes of infant mortality were analyzed
separately. Human immunodeficiency virus (HIV) was included as a
separate category because HIV incidence and mortality peaked in Canada
during the period under study. (17) We used the primary cause of death,
defined as "the disease or injury which initiated the train of
events leading directly to death, or the circumstances of the accident
or violence which produced the fatal injury." (18) Appendix 2 lists
the International Classification of Diseases codes.
Statistical analyses were performed using R and Microsoft Excel.
Research ethics approval requirement was waived by the institutional
review board of the University of Montreal Hospital Centre.
RESULTS
Life expectancy increased in all deciles between 1989-92 and
20012004, but the increase was larger for the least-deprived decile
(Table 1b). It is notable that Quebec does not experience a strictly
stair-stepped gradient in life expectancy by material deprivation. For
example, some of the middle deciles (e.g., decile 5) enjoyed higher life
expectancies than less-deprived deciles. However, the least-deprived
decile consistently had a higher life expectancy than any other, and the
difference between the least- and most-deprived deciles constituted the
largest inequality.
Between 1989-92 and 1995-98, the life expectancy gap between the
most- and least-deprived deciles increased by 19% (0.44 years) for women
and 21% (0.76 years) for men (Table 2). Between 199598 and 2001-04,
inequality among females grew by a further 7%, to 3.0 years. Among
males, on the other hand, life expectancy inequality decreased very
slightly.
Contributions to life expectancy inequality in each period by cause
of death and age
Among males, cancer made the largest contribution to inequality in
each period (Table 2). Lung cancer alone accounted for 16-18% of the
total gap. Among females, the contribution of cancer, which was only
5.6% in the first period, became the second-largest component of
inequality (15.4%) in 2001-04. This was largely due to lung cancer
mortality, which rose more among women in the most-deprived decile.
During the first period, breast cancer mortality was higher in the
least-deprived decile, making inequality between the most- and
least-deprived deciles 0.13 years smaller than it would have been
otherwise. In the second and third periods, this difference decreased,
reflecting slower reductions in breast cancer mortality among women in
the most-deprived decile than in the least-deprived.
Heart disease contributed a large share to life expectancy
inequality in each period (women 24-32%, men 15-18%). Unintentional
injuries (primarily motor vehicle accidents) were also major
contributors (men 17-24%, women 7-13%).
Mortality attributable to HIV among men was higher in the
least-deprived decile than in the most-deprived in 1989-92, thereby
reducing the life expectancy gap. By 1995-98, however, HIV no longer had
a 'reverse' socio-economic gradient, and in 2001-04, HIV
contributed positively to inequality between the most- and least
deprived decile. Other important components of inequality among males
were heart disease and suicide. In the first period, deaths in
middle-aged men (45-64 years) made the largest contribution, accounting
for 38% of life expectancy inequality (Table 3). By the third period,
however, deaths in men 65 years and over made the largest contribution
(40%). The share of inequality resulting from deaths in the 15-44 age
category was relatively stable over time.
Among females, mortality in the over 65 age group was the largest
contributor to life expectancy inequality. The share of inequality due
to deaths in this age group increased over time from 48% to 60%. The
proportion of inequality due to deaths in middle age (45-64 years) also
rose over time. The contribution to inequality in life expectancy from
15-44 year olds was much lower among females than it was among males,
and fell over the three periods.
Change in life expectancy inequality over time by cause of death
Roughly 25% of the increase in inequality among males from 198992
to 1995-98 was due to reductions in HIV mortality that favoured males in
the least-deprived decile (Figure 1). Among females, the growth of
inequality over time was largely driven by increases in lung cancer
mortality in the most-deprived decile. Lung cancer increased life
expectancy inequality by 0.17 years from 1989-92 to 1995-98, and again
by 0.20 years from 1995-98 to 2001-04. Unintentional injuries reduced
inequality over time for both men and women, due to greater reductions
in mortality from motor vehicle accidents in the most- than in the
least-deprived decile.
Between 1995-98 and 2001-04, the total inequality in life
expectancy among males marginally decreased due to offsetting trends for
different causes of death.
DISCUSSION
Our analysis indicates that the widening life expectancy gap
between advantaged and disadvantaged areas in Quebec from 19892004 was
driven by relatively few causes of death. Among men, HIV was an
important cause of the growth in inequality. Among women, lung cancer
drove the steady increase in inequality between the most- and
least-deprived areas. Heart disease accounted for a sizeable portion of
inequality among both sexes in each period. Inequality among both sexes
was reduced by a decrease in mortality from unintentional injuries.
Contrary to the findings of a previous Canada-wide study, most causes of
life expectancy inequality were amenable to public health intervention
rather than medical care. (19)
Since 1989, heart disease mortality decreased more among people
living in the least-deprived decile compared to the most deprived, which
is consistent with data linking heart disease with area-level
socio-economic status in several contexts. (1) Rurality of the
most-deprived decile (Table 1a) may also play a role in the continued
contribution of heart disease mortality to life expectancy inequality.
Other Canadian studies have found that risk factors for heart disease
such as smoking and obesity are higher in rural areas, (20,21) but a
Quebec study found that mortality rates from heart disease were actually
lower in rural areas than urban centres. (22) Thus, socio-economic
differences in risk factors and access to specialized services may be
more important to ongoing inequality in heart disease mortality.
Although heart disease did not play a major role in widening inequality
over time, it was a large component of inequalities among both sexes in
each period. This suggests that heart disease would be a useful target
for interventions seeking to reduce inequality between the most- and
least-deprived areas in Quebec.
Growing inequality among Quebec women has primarily been driven by
lung cancer mortality. This finding is consistent with previous research
showing that differences in lung cancer mortality between the most- and
least-deprived women in Quebec grew over the 1990s.4 Lung cancer
mortality in Quebec is rising among all women, but decreasing among men.
These mortality trends may reflect historical changes in smoking
behaviour. Whereas smoking began to decline among men in Quebec in the
mid-1960s, the percentage of women who smoked did not decrease until the
early 1980s. (4) Growth in female life expectancy inequality from lung
cancer mortality, and the ongoing contribution made by lung cancer to
inequality among males in each period, suggest that smoking trends have
differed between the most- and least-deprived areas. It is possible that
public health measures and changing social norms that encouraged a
decline in tobacco consumption had a greater impact on the population
living in least-deprived areas than in the most-deprived. (23,24)
Geographic patterns of smoking behaviour may have also contributed to
the increasing discrepancies in lung cancer mortality we observed.
Surveys in Quebec in the late 1980s and early 1990s found higher smoking
rates in mid-sized cities, small towns and rural areas compared to urban
centres. (4) Screening for lung cancer is unlikely to explain
inequalities as it has not been reliably shown to reduce lung cancer
mortality. (25) In recent years, the prevalence of smoking among women
in Quebec has not fallen as much as for men. Among those aged 15-24,
more females than males are current smokers. (26) Considering these
trends, rising mortality from lung cancer among women in Quebec and
disparities between women in the most- and least-deprived areas seem
likely to continue.
HIV mortality worsened inequality between men in the most- and
least-deprived areas. This was surprising because HIV is a relatively
uncommon cause of death. Deprived areas are primarily rural (although
some are located in Montreal and Quebec City), and HIV in Quebec has
been concentrated in urban centres. (27) Subanalyses indicated that
growing inequality due to HIV among men reflected the high concentration
of HIV mortality in urban deprived areas (data not shown). In Quebec, as
in other industrialized countries, HIV mortality peaked in the mid-1990s
and then rapidly declined following the introduction of highly active
antiretroviral treatment. (28) However, mortality fell more among men in
the most-affluent areas than among those in deprived urban
neighbourhoods. Poverty and deprivation may place people in vulnerable
positions that constrain opportunities for protection from infection or
treatment, even in the context of universal publicly-funded health
insurance. (29,30)
Several limitations of this study should be mentioned. Previous
research has shown that results of area-level analyses often differ
depending on spatial unit. (1,6) It is possible that alternative area
boundaries in Quebec could produce different results. In particular,
analyses based on smaller, more homogenous areal units would come closer
to capturing the inequalities that exist at an individual level. (31)
Nonetheless, we chose to analyze CLSCs because they are meaningful
administrative units with an important role in implementing policies and
delivering health and social services that may reduce health
disparities. However, analyses based on smaller geographical units may
give different results. Another limitation for the interpretation of
results is the rural/urban composition of deprivation deciles. The
most-deprived decile is primarily rural, but includes some urban CLSCs
in Montreal and Quebec City. The least-deprived decile is almost
exclusively urban. Thus, differences between the most- and
least-deprived deciles also reflect rural-urban differences, but we view
the fact that rural areas are more materially deprived as an important
feature of socio-economic disparities in Quebec. The exclusion of four
northern CLSCs--primarily First Nations and Inuit settlements--due to
incomplete census data could have led to underestimates of the magnitude
of life expectancy inequalities since Aboriginal Canadians experience
poorer health outcomes than the non-indigenous population. (32,33)
Finally, we could not account for the change in mortality coding from
ICD-9 to ICD-10 in year 2000, which could have influenced results.
However, any systematic error introduced by the coding shift would have
had to be different between the advantaged and disadvantaged areas to
seriously affect our results. Given that mortality coding is performed
at a provincial rather than a regional level, this seems unlikely. (34)
Absolute inequalities in life expectancy at birth between the
least- and most-deprived areas of Quebec have increased over time,
particularly among women. Much of the increase in inequality was driven
by diseases best addressed by preventive public health measures. Public
health initiatives that do not widen inequalities by disproportionately
benefiting the most well off are necessary to reverse this trend.
Appendix 1.
Population statistics and death counts are available for each CLSC
in Quebec, facilitating the calculation of CLSC-specific mortality
rates. These areas also represent useful, coherent divisions that
capture the geographical pattern of deprivation in Quebec. Resembling
the Townsend index in methodology and concept, the deprivation index
uses census measures of employment, average income, and persons without
a high school diploma. (1) It is available for 1996 census enumeration
areas. Four northern CLSCs were excluded due to missing census data. The
remaining 162 CLSCs were classified into deciles of material deprivation
using the deprivation index of enumeration areas to calculate a
population-weighted index for each CLSC. (2) The deprivation index based
on census data from 1996 (the central year of the data being considered)
was used for all study periods, under the assumption that the
geographical distribution of deprivation in Quebec has been stable over
the short time period considered here. This is a reasonable assumption
given that another analysis found that the geographic pattern of
material deprivation in Quebec was the same whether the deprivation
index was calculated using 1991 Census data or 2001 Census data. (3)
Work in other industrialized countries, such as Britain and the United
States, has also found little change in the geography of material
deprivation over time. (4-6)
REFERENCES
(1.) Townsend P. Deprivation. J Soc Policy 1987;16(2):125-46.
(2.) Auger N, Alix C, Zang G, Daniel M. Sex, age, deprivation and
patterns in life expectancy in Quebec, Canada: A population-based study.
BMC Public Health 2010;10(1):161.
(3.) Pampalon R, Hamel D, Gamache P. Recent changes in the
geography of social disparities in premature mortality in Quebec. Soc
Sci Med 2008;67:1269-81.
(4.) Dorling D, Mitchell R, Shaw M, Orford S, Smith GD. The ghost
of Christmas past: Health effects of poverty in London in 1896 and 1991.
BMJ 2000;321(7276):1547-51.
(5.) Singh G, Siahpush M. Widening socioeconomic inequalities in US
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Appendix 2. ICD Codes for Cause of Death Categories
ICD-9 ICD-10
All Cancers 140-208 C00-C97
Lung Cancer 162 C33-C34
Breast Cancer 174 C50
Prostate Cancer 185 C61
Colorectal Cancer 153-154 C18-C21
Heart Disease 390-398, 402, 404, I00-I09, I11,
410-429, 115, I13, I20-I51
999.1, 093.81,
098.83, 093.21,
032.82, 130.3,
093.22, 093.23,
093.24, 093.20,
093.82
Unintentional Injury E800-E869, E880-E929 V01- X59, Y85-Y86
Motor Vehicle Accidents E810-E825 V02-V04, V09.0,
V09.2, V12-V14,
V19.0-V19.2,
V19.4-V19.6, V20
V79,V80.3-V80.5,
V81.0-V81.1,
V82.0-V82.1,
V83-V86,
V87.0-V87.8,
V88.0-V88.8,
V89.0, V89.2
Falls E880-E888 W00-W19
Suicide E950-E959 X60-X84, Y87.0
Cerebrovascular Diseases 430-434, 436-438 I60-I69
Chronic Lower Respiratory 490-494 J40-J47
Diseases
HIV 42-44 B20-B24
Diabetes 250 E10-E14
Influenza and Pneumonia 480-487 J10-J18
Alzheimer's 331.0 G30
Nephritis, Nephrosis, 580-583, 584-586, N00- N07, N17-N19,
Nephritic Syndrome 588-589 N25-N27
Homicide 960-968, 904, 969.08 X85-Y09, Y87.1
Infant Mortality
Congenital Anomalies 740-759 Q00-Q99
Other Major Causes 761, 763-763.4, P01, P02, P03,
763.6-763.9, 762, R95, P07
798.0, 765
Conflict of Interest: None to declare.
Received: October 20, 2010
Accepted: March 24, 2011
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Jessica Adam-Smith, MSc, [1] Sam Harper, PhD, [1] Nathalie Auger,
MD, MSc, FRCPC [2-4]
Author Affiliations
[1.] Department of Epidemiology, Biostatistics and Occupational
Health, McGill University, Montreal, QC
[2.] Institut national de sante publique du Quebec, Montreal, QC
[3.] Department of Social and Preventive Medicine, Universite de
Montreal, Montreal, QC
[4.] Centre de recherche du Centre hospitalier de l'Universite
de Montreal, Montreal, QC
Correspondence: Jessica Adam-Smith, Department of Epidemiology,
Biostatistics and Occupational Health, McGill University, Purvis Hall,
1020 Pine Ave West, Room 17B, Montreal, QC H3A 1A2, Tel: 514-398-5805,
Fax: 514-398-4503, E-mail: jessica.adam-smith@mcgill.ca
Table 1a. Descriptive Characteristics of Local Community
Service Centres (CLSCs), Quebec
Least Deprived Most Deprived
(Decile 1) (Decile 10)
Population, Male
1989-1992 340,329 376,361
1995-1998 347,685 381,197
2001-2004 358,817 381,537
Population, Female
1989-1992 364,761 373,138
1995-1998 374,038 374,833
2001-2004 385,345 373,733
Number of Deaths, Male
1989-1992 9406 14,239
1995-1998 9636 14,467
2001-2004 9758 13,979
Number of Deaths, Female
1989-1992 9130 10,351
1995-1998 10,260 11,625
2001-2004 11,116 12,233
Average Population per CLSC
Mean 62,430 19,326
Range 31,541-107,905 2540-52,099
Proportion of Rural CLSCs
All rural 0 72.2
Some rural 9.1 13.9
No rural 90.9 13.9
Proportion of Aboriginal CLSCs 0 19.4
All Deciles
Population, Male
1989-1992 3,464,734
1995-1998 3,575,749
2001-2004 3,682,658
Population, Female
1989-1992 3,569,497
1995-1998 3,685,014
2001-2004 3,781,985
Number of Deaths, Male
1989-1992 107,152
1995-1998 111,919
2001-2004 111,198
Number of Deaths, Female
1989-1992 88,041
1995-1998 101,668
2001-2004 109,508
Average Population per CLSC
Mean 42,212
Range 1355-133,475
Proportion of Rural CLSCs
All rural 30.2
Some rural 31.5
No rural 30.2
Proportion of Aboriginal CLSCs 17.9
Table 1b. Life Expectancy at Birth According to Time Period and
CLSC Deprivation Decile, Quebec
Life Expectancy at Birth (years)
Males
Decile 1989-1992 1995-1998 2001-2004
1 (least deprived) 75.9 77.6 79.8
2 74.2 75.4 77.8
3 73.9 75.1 77.2
4 73.1 74.4 76.4
5 74.4 75.7 77.7
6 73.1 74.2 76.5
7 73.2 74.6 76.4
8 72.8 74.0 76.2
9 72.5 73.3 75.6
10 (most deprived) 72.3 73.3 75.6
Life Expectancy at Birth (years)
Females
Decile 1989-1992 1995-1998 2001-2004
1 (least deprived) 82.4 83.2 84.4
2 81.2 81.2 82.3
3 80.7 80.9 82.0
4 80.3 80.5 81.8
5 81.1 81.3 82.5
6 80.6 81.0 81.9
7 80.5 80.6 81.8
8 80.2 80.9 82.2
9 80.4 80.5 81.3
10 (most deprived) 80.0 80.4 81.4
Table 2. Contribution of Major Causes of Death to Inequality
in Life Expectancy Between the Bottom and Top
Area-Socio-economic Deciles in Each Period, Quebec
Males
Cause of Death 1989-1992 1995-1998
Cancer 0.91 (25.5) 0.98 (22.5)
Lung 0.66 (18.5) 0.68 (15.7)
Breast 0 0
Colorectal 0.04 (1.0) 0.01 (0.3)
Prostate 0.02 (-0.5) 0.03 (0.6)
Other cancers 0.23 (6.5) 0.26 (5.9)
Heart Disease 0.65 (18.2) 0.78 (17.8)
Cerebrovascular diseases 0.17 (4.8) 0.05 (1.1)
Chronic lower respiratory 0.27 (7.6) 0.35 (8.0)
diseases
Diabetes 0.04 (1.0) 0.06 (1.4)
Nephritis, Nephrosis, 0.02 (-0.7) 0.03 (0.8)
Nephritic syndrome
Alzheimer's 0.006 (0.2) 0.03 (0.7)
Unintentional Injury 0.87 (24.2) 0.91 (21.0)
Motor vehicle accidents 0.54 (15.2) 0.60 (13.8)
Falls 0.03 (1.0) 0.02 (0.5)
Other unintentional injuries 0.29 (8.0) 0.29 (6.6)
Suicide 0.40 (11.3) 0.51 (11.8)
Homicide 0.004 (-0.1) 0.01 (0.2)
HIV 0.23 (-6.3) -0.03 (-0.7)
Influenza and Pneumonia 0.001 (0.03) 0.05 (1.0)
Infant Mortality 0.03 (0.8) 0.10 (2.3)
Congenital anomalies 0.02 (-0.6) 0.03 (0.8)
Other causes 0.05 (1.5) 0.07 (1.6)
Residual 0.48 (13.4) 0.53 (12.1)
Total 3.60 (100) 4.36 (100)
Males Females
Cause of Death 2001-2004 1989-1992
Cancer 1.10 (25.8) 0.13 (5.6)
Lung 0.69 (16.3) 0.06 (2.7)
Breast -0.001 (-0.03) -0.13 (-5.7)
Colorectal 0.07 (1.7) 0.07 (2.8)
Prostate 0.04 (0.9) 0
Other cancers 0.30 (6.9) 0.13 (5.7)
Heart Disease 0.63 (14.8) 0.76 (32.2)
Cerebrovascular diseases 0.09 (2.1) 0.21 (8.8)
Chronic lower respiratory 0.38 (8.8) 0.11 (4.8)
diseases
Diabetes 0.12 (2.7) 0.12 (5.2)
Nephritis, Nephrosis, 0.03 (0.7) 0.07 (2.8)
Nephritic syndrome
Alzheimer's 0.001 (0.03) 0.03 (1.3)
Unintentional Injury 0.73 (17.1) 0.32 (13.4)
Motor vehicle accidents 0.50 (11.7) 0.30 (12.8)
Falls 0.05 (1.1) 0.004 (0.2)
Other unintentional injuries 0.18 (4.3) 0.01 (0.4)
Suicide 0.47 (11.1) 0.03 (1.4)
Homicide 0.01 (0.3) 0.0004 (0.02)
HIV 0.04 (0.9) 0.006 (0.2)
Influenza and Pneumonia 0.05 (1.3) 0.004 (0.2)
Infant Mortality 0.07 (1.6) 0.14 (5.7)
Congenital anomalies 0.05 (1.2) 0.04 (1.7)
Other causes 0.02 (0.5) 0.10 (4.0)
Residual 0.54 (12.6) 0.43 (18.4)
Total 4.25 (100) 2.37 (100)
Females
Cause of Death 1995-1998 2001-2004
Cancer 0.43 (15.4) 0.60 (19.9)
Lung 0.24 (8.5) 0.44 (14.7)
Breast 0.02 (-0.7) -0.03 (-0.9)
Colorectal 0.05 (1.8) 0.05 (1.8)
Prostate 0 0
Other cancers 0.16 (5.8) 0.14 (4.3)
Heart Disease 0.80 (28.4) 0.71 (23.7)
Cerebrovascular diseases 0.07 (2.4) 0.22 (7.3)
Chronic lower respiratory 0.14 (5.0) 0.18 (6.0)
diseases
Diabetes 0.15 (5.3) 0.18 (6.0)
Nephritis, Nephrosis, 0.04 (1.5) 0.09 (3.0)
Nephritic syndrome
Alzheimer's 0.06 (2.1) 0.08 (2.8)
Unintentional Injury 0.29 (10.2) 0.22 (7.3)
Motor vehicle accidents 0.24 (8.5) 0.17 (5.7)
Falls 0.02 (0.7) -0.01 (-0.3)
Other unintentional injuries 0.03 (1.0) 0.06 (1.9)
Suicide 0.06 (2.2) 0.07 (2.2)
Homicide 0.003 (-0.1) -0.02 (-0.5)
HIV 0.01 (0.5) 0.01 (0.4)
Influenza and Pneumonia 0.06 (2.1) 0.07 (2.3)
Infant Mortality 0.07 (2.6) 0.07 (2.3)
Congenital anomalies 0.01 (0.4) -0.01 (-0.4)
Other causes 0.06 (2.2) 0.08 (2.7)
Residual 0.63 (22.3) 0.52 (17.3)
Total 2.81 (100) 3.01 (100)
Table 3. Contribution of Age Groups to Inequality in Life Expectancy
Between the Bottom and Top Area-Socio-economic Deciles in Each
Period, Quebec
Inequality in Life Expectancy, Years (%)
Males
Age Group 1989-1992 1995-1998 2001-2004
<1 0.1 (2.6) 0.16 (3.7) 0.08 (1.92)
1-14 0.1 (2.7) 0.22 (5.1) 0.11 (2.5)
1-4 0.01 (0.2) 0.09 (2.1) 0.04 (0.9)
5-9 0.05 (1.5) 0.07 (1.6) 0.04 (1.0)
10-14 0.04 (1.0) 0.07 (1.5) 0.03 (0.6)
15-44 0.94 (25.9) 1.17 (27.0) 1.03 (24.2)
15-19 0.17 (4.6) 0.15 (3.5) 0.17 (3.9)
20-24 0.22 (6.1) 0.31 (7.1) 0.21 (4.8)
25-29 0.21 (5.8) 0.21 (4.8) 0.13 (3.1)
30-34 0.11 (3.0) 0.16 (3.6) 0.11 (2.6)
35-39 0.13 (3.6) 0.14 (3.3) 0.19 (4.3)
40-44 0.10 (2.8) 0.20 (4.6) 0.23 (5.4)
45-64 1.38 (38.0) 1.49 (34.4) 1.34 (31.5)
45-49 0.31 (8.4) 0.27 (6.3) 0.24 (5.6)
50-54 0.31 (8.7) 0.39 (8.9) 0.32 (7.4)
55-59 0.39 (10.7) 0.44 (10.1) 0.35 (8.1)
60-64 0.37 (10.3) 0.39 (9.1) 0.44 (10.3)
[greater than 1.12 (30.7) 1.30 (29.9) 1.70 (39.9)
or equal to] 65
65-69 0.38 (10.6) 0.33 (7.5) 0.45 (10.6)
70-74 0.22 (6.0) 0.28 (6.5) 0.39 (9.1)
75-79 0.25 (6.9) 0.29 (6.8) 0.29 (6.7)
80-84 0.13 (3.5) 0.20 (4.5) 0.27 (6.5)
85-89 0.04 (1.1) 0.12 (2.8) 0.15 (3.6)
[greater than 0.10 (2.6) 0.07 (1.7) 0.15 (3.4)
or equal to] 90
Total 3.60 (100) 4.36 (100) 4.25 (100)
Inequality in Life Expectancy, Years (%)
Females
Age Group 1989-1992 1995-1998 2001-2004
<1 0.20 (8.5) 0.10 (3.4) 0.08 (2.7)
1-14 0.12 (4.9) 0.11 (3.9) 0.04 (1.3)
1-4 0.08 (3.2) 0.09 (3.1) 0.02 (0.7)
5-9 0.04 (1.7) -0.01 (-0.5) -0.01 (-0.3)
10-14 -0.001 (-0.05) 0.04 (1.3) 0.03 (0.9)
15-44 0.35 (14.6) 0.41 (14.5) 0.25 (8.4)
15-19 0.01 (0.4) 0.05 (1.6) 0.05 (1.7)
20-24 0.08 (3.3) 0.08 (2.9) 0.01 (0.3)
25-29 0.01 (0.5) -0.002 (-0.08) 0.003 (0.08)
30-34 0.07 (3.0) 0.09 (3.2) 0.03 (0.9)
35-39 0.07 (3.1) 0.11 (4.0) 0.09 (3.0)
40-44 0.10 (4.2) 0.08 (2.8) 0.07 (2.4)
45-64 0.58 (24.5) 0.73 (26.1) 0.83 (27.7)
45-49 0.04 (1.7) 0.16 (5.8) 0.15 (5.1)
50-54 0.11 (4.8) 0.18 (6.5) 0.23 (7.5)
55-59 0.22 (9.4) 0.18 (6.4) 0.26 (8.7)
60-64 0.20 (8.6) 0.21 (7.4) 0.20 (6.5)
[greater than 1.13 (47.6) 1.47 (52.1) 1.81 (59.9)
or equal to] 65
65-69 0.15 (6.2) 0.17 (6.2) 0.26 (8.6)
70-74 0.15 (6.4) 0.20 (7.2) 0.23 (7.7)
75-79 0.20 (8.5) 0.34 (12.2) 0.23 (7.6)
80-84 0.17 (7.0) 0.20 (7.1) 0.31 (10.3)
85-89 0.20 (8.4) 0.24 (8.6) 0.35 (11.7)
[greater than 0.26 (11.0) 0.30 (10.6) 0.42 (14.0)
or equal to] 90
Total 2.37 (100) 2.81 (100) 3.01 (100)
Figure 1. Contribution of each cause of death to the change
in inequality in life expectancy between the bottom and top
area-socio-economic deciles over time
Males
1989-92 to 1995-98 (Total Change: +0.76 y)
Change in Life Expentancy Gap (years)
Reduced Increased
Inequality Inequality % of total change
Cancer
Lung 2.9
Breast 0
Colorectal -3.0
Prostate 5.8
Other 2.6
Heart Disease 16.7
Cerebrovascular -16.3
CLRD 10.1
Diabetes 3.1
Kidney Diseases 7.6
Alzheimer's 3.3
Unintentional Injury
MVAs 7.7
Falls -1.5
Other 0.1
Suicide 14.1
Homicide 1.7
HIV 25.7
Flu/Pneumonia 5.8
Infant Mortality
Congenital Anomalies 7.4
Other Causes 0.2
Residual 6.0
1995-98 to 2001-04 (Total Change: -0.11 y)
Change in Life Expentancy Gap (years)
Reduced Increased
Inequality Inequality % of total change
Cancer
Lung -8.5
Breast 1.5
Colorectal -62.5
Prostate -14.4
Other -42.6
Heart Disease 156.9
Cerebrovascular -44.3
CLRD -29.2
Diabetes -58.9
Kidney Diseases 6.9
Alzheimer's 32.2
Unintentional Injury
MVAs 110.5
Falls -23.4
Other 112.3
Suicide 42.6
Homicide -4.5
HIV -74.5
Flu/Pneumonia -10.1
Infant Mortality
Congenital Anomalies -16.5
Other Causes 37.5
Residual -11.0
Females
1989-92 to 1995-98 (Total Change: +0.76 y)
Change in Life Expentancy Gap (years)
Reduced Increased
Inequality Inequality % of total change
Cancer
Lung 38.3
Breast 25.1
Colorectal -3.5
Prostate
Other 8.8
Heart Disease 8.3
Cerebrovascular -31.2
CLRD 6.3
Diabetes 5.4
Kidney Diseases -5.1
Alzheimer's 6.1
Unintentional Injury
MVAs -13.7
Falls 3.3
Other 3.8
Suicide 6.5
Homicide -0.8
HIV 1.6
Flu/Pneumonia 12.4
Infant Mortality
Congenital Anomalies -6.4
Other Causes -7.1
Residual 42.1
1995-98 to 2001-04 (Total Change: -0.11 y)
Change in Life Expentancy Gap (years)
Reduced Increased
Inequality Inequality % of total change
Cancer
Lung 99.9
Breast -4.2
Colorectal 2.2
Prostate -14.8
Other -42.9
Heart Disease 76.0
Cerebrovascular 19.0
CLRD 16.1
Diabetes 23.4
Kidney Diseases 12.4
Alzheimer's 32.2
Unintentional Injury
MVAs 34.1
Falls -14.5
Other 15.2
Suicide 2.0
Homicide -6.2
HIV -0.1
Flu/Pneumonia 5.2
Infant Mortality
Congenital Anomalies -11.2
Other Causes 8.9
Residual -52.0
Note: Table made from bar graph.