Health inequalities, deprivation, immigration and aboriginality in Canada: a geographic perspective.
Pampalon, Robert ; Hamel, Denis ; Gamache, Philippe 等
The presence of social inequalities in health is well documented in
Canada. For several health outcomes, many studies report strong
relationships with people's socio-economic conditions, whether
these are measured through income, education or deprivation indices.
(1-6) Such relationships can be found everywhere in Canada, from East to
West, in urban and rural areas. (5-12) However, it appears that the
magnitude of social inequalities in health can vary greatly between
regions and metropolitan areas, and within the countryside. Hence,
premature mortality gaps according to a deprivation index are higher in
the Western regions, namely the Prairies and British Columbia, than in
the rest of Canada. (13) Similarly, the census metropolitan area (CMA)
of Vancouver exhibits higher premature mortality discrepancies than
those found in the CMA of Toronto. (13) Finally, in the countryside, as
we move from areas bordering urban centres to the outermost fringes of
Canada, inequalities in survival according to deprivation increase. (14)
Such differences in the magnitude of health inequalities according
to deprivation across Canada might be associated with other social
determinants of health, namely immigration and aboriginality.
Since 1990, nearly 250,000 individuals have moved to Canada each
year and have mainly settled in large cities such as Toronto, Vancouver
and Montreal. (15) As of 2006, immigrants accounted for 46%, 40% and 21%
of these cities' populations, respectively. Most immigrants are
educated, married or living with a common-law partner, and have
professional skills. (15) However, since 1990, new-comers have
experienced higher unemployment and lower income than Canadian-born
individuals (16,17) and are over-represented in the most
multiply-deprived urban neighbourhoods. (18) Research in Canada also
reveals that immigrants, especially recent arrivals, enjoy better health
than their counterparts born in the country. (19,20) Hence, because
immigrants can be simultaneously socio-economically disadvantaged and
healthy, their presence might mitigate the relationship observed between
deprivation and health in some parts of the country, especially where
immigrants represent a fair share of the population.
There are more than 1 million people of Aboriginal ancestry in
Canada, the highest concentrations being in the North, the remote
hinterland, the Prairies and, to a lesser degree, British Columbia.
(21,22) Research reveals that the socio-economic conditions and health
status of Aboriginals living on or off reserve are generally lower than
those of non-Aboriginal Canadians. (21,23,24) Therefore, as with
immigration, the presence of Aboriginal peoples in some parts of the
country might have an impact on the relationship between deprivation and
health.
In this study, we explore the contribution of deprivation,
immigration and Aboriginality to survival in various parts of Canada.
Until now, these social determinants have been scrutinized
separately for Canada as a whole or for particular areas. More
specifically, we formulate the following hypotheses:
1) Immigration and Aboriginality have a significant impact on
survival, above and beyond that of deprivation, everywhere in Canada.
Immigration increases survival, while being Aboriginal reduces it.
2) Immigration and Aboriginality are confounding factors
influencing the relationship between deprivation and survival in parts
of the country where high proportions of such peoples are found, namely
in the remote hinterland, Western Canada (Prairies and British
Columbia), Toronto and Vancouver.
Overall, we hypothesize that differences in the magnitude of
survival inequalities according to deprivation across Canada are
attenuated when immigration and Aboriginal status are accounted for.
METHODS
This study made use of a recent file linking the 1991 Canadian
census and a follow-up of mortality from June 4, 1991 to December 31,
2001.25 The file constitutes a 15% sample of the non-institutionalized
population aged 25 and older. It includes all socio-economic variables
drawn from the census long-form questionnaire and data on the underlying
cause and date of death. In this study, people aged 25-74 at baseline
(1991) and all-cause mortality are considered.
Geography
In accordance with previous findings on the variability of health
inequalities related to deprivation in Canada, three sets of geographic
areas are examined: the Canadian regions (the Atlantic provinces,
Quebec, Ontario, the Prairies and British Columbia); the largest CMAs
(Montreal, Toronto and Vancouver); and the metropolitan influenced zones
(MIZs) (strong MIZs, moderate MIZs and weak or no MIZs), (26) which
cover small towns and rural areas (population <10,000) and extend
gradually from the periphery of large urban centres (strong MIZs) to the
outermost fringes of Canada (weak or no MIZs).
Deprivation
This study is based on a Canadian deprivation index. (13,14,27)
This index is inspired by Peter Townsend's proposal to distinguish
material and social deprivation, the former referring to the goods and
conveniences of everyday life and the latter to the fragility of social
networks, from family to the community.
This study is based on the individual version of the deprivation
index. (27) The index includes six indicators from the 1991 census,
namely having a high school diploma; being employed; personal income;
living alone; being separated, divorced or widowed; and being a member
of a lone-parent family. Indicators are in binary form except for
income, which is continuous. These indicators were grouped along two
separate deprivation dimensions: a material dimension (education,
employment and income) and a social dimension (marital status, living
alone and lone-parent families), based on the standardized scoring
coefficients derived from area-based principal component analyses
carried out in every geographic setting considered here. For the
material dimension, the population was distributed into quintiles, from
the least (Q1) to the most deprived group (Q5). For the social
dimension, as the three indicators were binary and some combinations
impossible, only two groups were differentiated: least (Q1 to Q4) and
most (Q5) deprived.
In this study, the two deprivation dimensions are considered
separately and jointly, by combining extreme groups (most favoured
group: material Q1 and social Q1Q4; most deprived group: material Q5 and
social Q5).
Immigration and Aboriginality
Immigration is based on declared place of birth in the 1991 census,
and all permanent residents born outside Canada are considered
immigrants. Aboriginal peoples in Canada include three groups: First
Nations (North American Indians), Metis (descendants from European and
Indian unions) and Inuit. In the 1991 census, Aboriginal status is
derived from responses to questions on ethnic origin (ancestry),
registered treaty Indian status and Band or First Nations membership.
Survival
Survival is modelized through proportional hazard ratios, using Cox
regression. (28) This ratio expresses the relative risk of mortality
between the various deprivation quintiles and the most favoured one
(material Q1 and/or social Q1Q2Q3Q4), which is the reference group.
Models are produced for every geographic setting and are adjusted for
age, sex and the other form of deprivation. Models for Canadian regions
are also adjusted for large geographic areas, namely the three major
CMAs, other CMAs, midsize cities (population between 100,000 and
10,000), small towns and rural areas. To test our hypotheses, two models
were calculated: Model 1, with deprivation only; and Model 2, with
deprivation, immigration and Aboriginality, simultaneously.
[FIGURE 1 OMITTED]
RESULTS
This study is based on more than 2.5 million individuals and
168,000 deaths (Table 1). As expected, high proportions of immigrants
can be found in Ontario and British Columbia, especially in the CMAs of
Toronto and Vancouver. Also, high proportions of Aboriginal people
characterize the Prairies (9%) and more specifically the outermost parts
of Canada, the weak-no MIZ category (19%).
In Canada as a whole, the relative risk of mortality increases
gradually with deprivation quintile for material and social deprivation
(Figure 1). Between the extreme quintiles of material and social
deprivation (Q5 and Q5 versus Q1 and Q1-Q4), the relative risk of
mortality (hazard ratio-HR) is nearly 3. Regionally, the risk of
mortality between extreme groups of deprivation is higher in the
Prairies (HR: 3.34) and, to a lesser degree, in British Columbia than
elsewhere in Canada (Figure 2). In the CMAs, this risk is higher in
Vancouver (HR: 2.81) whereas in the countryside, it goes up steadily as
we move from the surroundings of urban centres (strong MIZ) to the
remote hinterland (weak-no MIZ).
When introduced in the models, immigration and Aboriginal status
exert a significant impact on the risk of mortality above and beyond
that of deprivation, and this is true everywhere in Canada (Table 2).
Immigrants have a lower mortality risk and Aboriginal peoples a higher
mortality risk than other Canadians. The only exception is in the CMA of
Montreal, where Aboriginality is not associated with mortality. However,
in the CMA of Montreal more than elsewhere, being an immigrant reduces
the risk of mortality, above and beyond deprivation (HR: 0.61).
Conversely, in the CMA of Vancouver, being Aboriginal has the highest
impact on mortality after controlling for deprivation (HR: 1.74).
Adding immigration and Aboriginal status in the models reduces the
risk of mortality associated with deprivation. In some places, however,
their confounding effect is substantial. This is true in the Prairies
(HR: 3.34 to 2.95) and the remote hinterland (weak-no MIZs; HR: 3.01 to
2.55). Conversely, the risk of mortality related to deprivation is
slightly but not significantly increased in the CMA of Toronto. Still,
throughout Canada, the contribution of deprivation to survival is
significant and substantially higher than that of immigration and
Aboriginal status.
DISCUSSION
This study shows that survival (or risk of mortality) in Canada
results from the independent contribution of deprivation, immigration
and Aboriginal status and that this generally holds true no matter the
region, major CMA or area within the countryside. These conclusions are
in agreement with previous studies that considered these determinants
separately with various health outcomes for Canada as a whole or for a
specific geographic area. (2,3,6,8-11,19-21,23-25) Indeed, this study
demonstrates the "healthy immigrant effect" and the poor
health conditions of Aboriginal peoples.
Differences in the magnitude of survival inequalities related to
deprivation across Canada are in accordance with previous studies,
(13,14) with higher gaps in the Prairies, British Columbia and the
remote hinterland and lower disparities in Eastern regions and the CMA
of Toronto. However, after accounting for immigration and Aboriginal
status, those differences are attenuated. Hence, survival disparities
related to deprivation are significantly reduced in the Prairies and the
outermost fringes of Canada (weak-no MIZ) where large native populations
are settled. Conversely, such disparities are slightly (but not
significantly) increased in the CMA of Toronto, where immigrants account
for about half of the population. Overall, after accounting for
immigration and Aboriginal status, differences in the magnitude of
survival inequalities related to deprivation are attenuated across
Canada, but they are not completely eliminated. High disparities remain
in the Prairies and, to a lesser degree, in British Columbia and the CMA
of Vancouver.
[FIGURE 2 OMITTED]
All models presented here were also calculated with the area-based
version of the Canadian deprivation index. Apart from the size of
survival inequalities according to deprivation (which is smaller than
with the individual version of the index), no noticeable difference was
found. For the CMA models, recent immigration (less than 10 years) was
also considered and led to lower risks of mortality than those obtained
for all immigrants (as shown in Table 2). However, these lower risks did
not change the magnitude of inequalities related to deprivation.
Finally, Aboriginal status is derived from responses to three questions,
including ethnic origin (ancestry). A study based on the 1996 census
shows that more than 94% of those persons declaring Aboriginal ancestry
also identify themselves as Aboriginals. (29) Therefore, there is no
reason to believe that confining our analyses to self-identified
Aboriginals would produce different results.
As far as we know, this study represents a first attempt to
disentangle the role of deprivation, immigration and Aboriginal status
on health inequalities observed in various locations across Canada. It
explores the contribution of compositional factors associated with the
individuals living in those locations. It does not consider contextual
factors whose impact on health is well known and may differ according to
where one lives.30 These contextual factors are related to the physical
environment (namely climate, air or water pollution, area size), the
built environment (housing, urban design, local infrastructures, etc.),
cultural dimensions (beliefs about health) and access to medical and
health services. Future research should consider these compositional and
contextual factors simultaneously.
Received: March 8, 2010 Accepted: June 28, 2010
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Robert Pampalon, PhD, Denis Hamel, MSc, Philippe Gamache, BSc
Author Affiliations
Institut national de sante publique du Quebec, Quebec, QC
Correspondence: Dr. Robert Pampalon, Institut national de sante
publique du Quebec, 945, rue Wolfe, 3e etage, Quebec, QC G1V 5B3, Tel:
418-650-5115, ext. 5719, Fax: 481-643-5099, E-mail:
robert.pampalon@inspq.qc.ca
Conflict of Interest: None to declare.
Table 1. Population Aged 25-74 in 1991 and Deaths From 1991 to 2001 by
Immigration and Aboriginal Status, Region, Census Metropolitan Area
(CMA) and Metropolitan Influenced Zone (MIZ), Canada
Population
Total Immigration Aboriginal Status
N N % N %
Region
Atlantic 209,200 9200 4.4 5800 2.8
Quebec 654,200 70,700 10.8 14,600 2.2
Ontario 934,900 288,400 30.8 21,100 2.3
Prairies 436,200 69,000 15.8 37,500 8.6
British Columbia 305,400 86,800 28.4 17,000 5.6
CMA
Montreal 298,000 62,600 21.0 3800 1.3
Toronto 351,000 175,000 49.9 2800 0.8
Vancouver 146,400 56,400 38.5 3200 2.2
MIZ
Strong MIZ 134,000 13,100 9.8 3200 2.4
Moderate MIZ 222,500 14,200 6.4 12,800 5.8
Weak-no MIZ 240,400 14,000 5.8 46,000 19.1
Canada 2,562,800 526,500 20.5 105,400 4.1
Deaths
Total Immigration Aboriginal Status
N N % N %
Region
Atlantic 14,265 645 4.5 352 2.5
Quebec 42,995 3716 8.6 702 1.6
Ontario 62,910 18,002 28.6 1130 1.8
Prairies 27,142 4398 16.2 2520 9.3
British Columbia 19,906 5581 28.0 1048 5.3
CMA
Montreal 19,308 3213 16.6 153 0.8
Toronto 20,252 9156 45.2 142 0.7
Vancouver 8846 3130 35.4 197 2.2
MIZ
Strong MIZ 9064 1119 12.3 183 2.0
Moderate MIZ 16,718 1298 7.8 835 5.0
Weak-no MIZ 16,716 1193 7.1 3005 18.0
Canada 168,077 32,445 19.3 6209 3.7
Source: The Canadian census mortality follow-up study, 1991-2001.
Table 2. Mortality Hazard Ratio (HR) and Its 95% Confidence Interval
(CI) Between Extreme Quintiles of Deprivation * for Deprivation Alone
and for Deprivation, Immigration and Aboriginal Status, Simultaneously,
by Region, Census Metropolitan Area (CMA) and Metropolitan Influenced
Zone (MIZ), Canada, 1991-2001
Deprivation Alone Deprivation
HR 95% CI HR 95% CI
Region
Atlantic 2.81 2.55-3.09 2.69 2.45-2.96
Quebec 2.65 2.51-2.78 2.63 2.49-2.76
Ontario 2.75 2.63-2.88 2.75 2.63-2.88
Prairies 3.34 3.13-3.56 2.95 2.76-3.15
British Columbia 2.97 2.77-3.19 2.86 2.67-3.07
CMA
Montreal 2.64 2.43-2.87 2.62 2.41-2.84
Toronto 2.55 2.38-2.73 2.72 2.54-2.91
Vancouver 2.81 2.52-3.12 2.80 2.52-3.11
MIZ
Strong MIZ 2.66 2.36-2.98 2.58 2.30-2.90
Moderate MIZ 2.81 2.59-3.04 2.66 2.45-2.88
Weak-no MIZ 3.01 2.77-3.26 2.55 2.34-2.77
Canada 2.88 2.81-2.95 2.79 2.72-2.85
Immigration Aboriginal Status
HR 95% CI HR 95% CI
Region
Atlantic 0.76 0.71-0.83 1.58 1.42-1.76
Quebec 0.62 0.60-0.64 1.20 1.11-1.29
Ontario 0.73 0.72-0.74 1.27 1.20-1.35
Prairies 0.82 0.79-0.85 1.61 1.54-1.68
British Columbia 0.78 0.76-0.81 1.49 1.40-1.59
CMA
Montreal 0.61 0.58-0.63 1.07 0.91-1.26
Toronto 0.68 0.66-0.70 1.34 1.13-1.58
Vancouver 0.75 0.72-0.79 1.74 1.51-2.01
MIZ
Strong MIZ 0.84 0.79-0.90 1.53 1.32-1.77
Moderate MIZ 0.81 0.76-0.86 1.45 1.35-1.56
Weak-no MIZ 0.88 0.83-0.93 1.44 1.38-1.50
Canada 0.74 0.73-0.75 1.41 1.38-1.45
* Material Q5 & Social Q5 / Material Q1 & Social Q1Q4
Source: The Canadian census mortality follow-up study, 1991-2001.