Premature mortality due to social and material deprivation in Nova Scotia, Canada
© Saint-Jacques et al.; licensee BioMed Central Ltd. 2014
Received: 7 July 2014
Accepted: 7 October 2014
Published: 25 October 2014
Inequalities in health attributable to inequalities in society have long been recognized. Typically, those most privileged experience better health, regardless of universal access to health care. Associations between social and material deprivation and mortality from all causes of death´ a measure of population health, have been described for some regions of Canada. This study further examines the link between deprivation and health, focusing on major causes of mortality for both rural and urban populations. In addition, it quantifies the burden of premature mortality attributable to social and material deprivation in a Canadian setting where health care is accessible to all.
The study included 35,266 premature deaths (1995-2005), grouped into five causes and aggregated over census dissemination areas. Two indices of deprivation (social and material) were derived from six socioeconomic census variables. Premature mortality was modeled as a function of these deprivation indices using Poisson regression.
Premature mortality increased significantly with increasing levels of social and material deprivation. The impact of material deprivation on premature mortality was similar in urban and rural populations, whereas the impact of social deprivation was generally greater in rural populations. There were a doubling in premature mortality for those experiencing a combination of the most extreme levels of material and social deprivation.
Socioeconomic deprivation is an important determinant of health equity and affects every segment of the population. Deprivation accounted for 40% of premature deaths. The 4.3% of the study population living in extreme levels of socioeconomic deprivation experienced a twofold increased risk of dying prematurely. Nationally, this inequitable risk could translate into a significant public health burden.
KeywordsSocioeconomic factors Premature mortality Small-area analysis Deprivation index Public health surveillance Health equity
Inequities in health are entrenched in society, often reflecting disparities in the conditions in which people live, work, and play -. In 1980´s, Townsend  articulated this concept as "deprivation": "an observable and demonstrable disadvantage relative to the local community or the wider society or nation to which the individual, family or group belong". Deprivation is, therefore, a measure made relative to some privileged group or social norm, a norm which can differ between places and change over time. Townsend distinguished two forms of deprivation: material deprivation which relates to the access of goods and conveniences and; social deprivation which refers to disadvantages related to social position.
The influences of social and material deprivation on health are many and their magnitude and direction differ between health outcomes -. Mortality, a measure of population health, is often lower amongst privileged individuals or communities; a pattern observed across and within many countries, including those offering universal health coverage -. Recent trends for widening socioeconomic inequalities may further increase inequity in mortality rate-in particular, the rate of premature mortality -. From a societal view point, the cost of premature mortality (PM) can be measured directly through the increased burden of health care or, indirectly through the premature loss of individuals´ contributions to society over their lifetime . PM is thought to be avoidable and, therefore unacceptable . In Canada, the impact of social and material deprivation on PM from all causes varies by geographic area, despite universal access to health care . However, the relationship between social and material deprivation and major causes of premature death, as well as the overall magnitude of their effects, has yet to be reported, either at the national or provincial levels.
Compared to other provinces in Canada, Nova Scotia (NS) has high mortality rates and the second to lowest gross income per capita . Further, NS has a high proportion of rural residents who in general have lower income and may experience a disproportionate burden of material and social deprivation. It is, therefore, an ideal location to examine the links between PM and socioeconomic deprivation. This study evaluates the relationship between social and material deprivation and PM in NS using a recently validated index . It also quantifies the number and proportion of premature deaths directly attributable to socioeconomic deprivation, were the association considered to be causal. The results of this study will inform public health programs and policies aimed at addressing health inequities resulting from socioeconomic disparities.
Area-based deprivation indices were developed in the UK ,, as a tool for investigating socio-economic variations in health and as a surrogate indicator of individual-level socioeconomic status. They have since been modified to reflect the local reality and data availability of various populations around the world -. For this study, two indices of deprivation were constructed following the methodology detailed by Pampalon and colleagues  developed to measure socioeconomic deprivation within a Canadian context. The indices were composed of six variables from the 2001 Canadian census known to have utility as geographic proxies of socioeconomic conditions ,,,. For people age 15years and over, these variables were: the proportion of people with no high school diploma, the individual average income, the employment rate, the proportion of separated, divorced or widowed, the proportion of single-parent families (lone parent), and the proportion of persons living alone. The first three indicators reflect the material dimension of deprivation; the others reflect its social aspect. All variables, with the exception of the proportion of single-parent families, were adjusted to the age and sex structure of the 2001 NS population aged 15years and older, using indirect standardization . Transformations (log" for continuous variables, arcsin of square root" for proportional indicators) were applied to normalize the indicators. Variables were combined using a Principal Component Analysis (PCA), a standard factorial approach that recognizes the interlinked nature of variables by accounting for their correlation and co-variation . Following a varimax rotation, two independent components with eigenvalues exceeding 1.0 were retained for interpretation. These components were defined as `material index´ and `social index´ of deprivation, respectively.
The indices were constructed at the smallest unit of census geography, the dissemination area (DA), which comprises generally a population of 400-700 persons but which can be as low as 40 persons in rural NS and as high as 3,600 in urban NS. DAs were defined as urban when in proximity to a census metropolitan area with a population density of 400 or more people per square kilometer as outlined in Du Plessis et al. . In the 2001 census, NS was covered by 515 urban and 771 rural DAs (excluding First Nations reserves, for which details of population and census variables were incomplete). PCA produced factor scores for all 1,286 DAs. The DAs were ranked according to their factor scores and grouped into weighted population quintiles, one distinct set of quintiles for each level of geography (i.e. urban, rural, NS as a whole). This was done to account for differences in the range of factor scores by level of geography. In all instances, quintile 1 (Q1) represented the most privileged segment of the population and quintile 5 (Q5), the least. This process was carried out separately for each of the deprivation indices.
Premature mortality (PM)
Mortality data coded ICD-9 (1995 - 1999) or ICD-10 (2000-2005) for NS residents who died between 1995-2005 were obtained from NS Vital Statistics. Deaths were grouped into five categories: cancer (ICD9-140-208; ICD10-C00-C97), circulatory system (ICD9-390-459; ICD10-I00-I99), external causes (ICD9-800-999; ICD10-V01-Y98), other causes and all causes. PM was defined as deaths occurring prior to the median age at death (75 for men, 81 for women) observed in this period. Age 75 is often used as a fixed upper threshold age for the calculation of PM, however, an older cut-off was used for females as to reflect their longer life expectancy. Residential postal code at death was used to assign each death to a DA using the Statistics Canada Postal Code Conversion program (PCCF+, version 5G). There were 87,484 deaths over the 11-year period. Of these, 74,610 deaths had postal code information and 73,088 (98%) were successfully geo-referenced to a DA. Two percent of deaths occurred before age 15 and these were excluded. PM rates were based on a total of 35,266 premature deaths and calculated using the 2001 NS population aged 15years plus, obtained from Statistics Canada. An aggregated dataset of premature death counts was used to estimate PM rates for each quintile of material and social deprivation, from the most (Q1) to the least privileged (Q5), and for groups experiencing extreme socioeconomic conditions, including those materially and socially most privileged (Q1material-Q1social; Q1 & Q1) which accounted for 7.0% of the NS population aged 15years and older, and those materially and socially least privileged (Q5material-Q5social; Q5 & Q5) which accounted 4.3%.
The influence of deprivation on PM was modeled with Poisson regression. In Model 1, quintiles of material and social deprivation were used as categorical variables and so accounted for the main effects of the two indices. In Model 2, for every combination of material and social deprivation quintiles, mean material and social deprivation scores were calculated and modeled with their interaction with population location (urban/rural). PM rate ratios and absolute excess mortality were also examined. Rate ratios (rate for the least privileged (Q5material-Q5social) divided by the rate for the most privileged (Q1material-Q1social), and corresponding 95% confidence intervals were derived from a Poisson regression model. The excess mortality measure estimated the absolute number of premature deaths for any subgroup that could be potentially avoided if the whole population had the same PM rate as that of the most privileged group. Data analyses were performed using SAS 9.1 and R 2.13.0. The study received ethics approval from Capital Health and IWK Health Centre Research Ethics Boards.
Characteristics of study population age 15years and older, by quintile of material and social deprivation, and those of the most and least materially and socially privileged population groups, Nova Scotia a
No high school diploma %
Employment rate %
Individual average income $
Living alone %
Separated divorced widowed %
Lone parent %
ALL of Nova Scotia: Material and social
Q1 & Q 1
Q5 & Q5
RURAL Nova Scotia: Material and social
Q1 & Q 1
Q5 & Q5
URBAN Nova Scotia: Material and social
Q1 & Q 1
Q5 & Q5
Socioeconomic deprivation and premature mortality
Population counts, premature death counts, crude premature death rates a and associated 95% confidence interval by geographic areas b , quintiles of social and material deprivation, and major causes of mortality, Nova Scotia 1995-2005
Material and Social
Q1 & Q1
Q5 & Q5
Rate ratio in premature mortality for the most and least materially and socially privileged population groups (Q5 & Q5 vs Q1 & Q1), Nova Scotia 1995-2005
Percent change in premature mortality (PM) associated with social and material deprivation by cause of death a , Nova Scotia 1995-2005
Cause of death
% change in PM per quintilebURBAN
% change in PM per quintile RURAL
Pr > ChiSqc
Considering the distribution of mean material and social deprivation scores for urban and rural populations, there is a greater distribution gap between the most and least privileged in urban NS. With regards to material wealth, those most privileged in urban areas (i.e. u1 [Q1 urban]; Figure22) were comparatively better off than their rural counterpart (r1 [Q1 rural]; Figure22). With regards to social wealth, those least privileged in urban areas (i.e. u5 [Q5 urban; Figure22) were comparatively worse off than their rural counterparts (r5 [Q5 rural]; Figure22). These differences observed between comparable quintiles in urban and rural populations, were not associated with a significant health advantage in those most materially privileged; nor with a significant health disadvantage in those most socially deprived.
Population attributable risk
Excess premature deaths a due to the independent and combined effect of material and social deprivation, by cause of death, urban and rural Nova Scotia 1995-2005
URBAN NOVA SCOTIA
Independent effect of material deprivation
Independent effect of social deprivation
Material and Social deprivation combined b
RURAL NOVA SCOTIA
Independent effect of material deprivation
Independent effect of social deprivation
Material and Social deprivation combined b
Summary of findings
The study revealed substantial inequalities in socioeconomic conditions in NS, Canada. Similar disparities, although of varying magnitude, have been observed for other regions of the country . For example, in British Columbia the ratios of the least to the most privileged persons were 2.5, 1.4, and 5.3 for the proportion of people without high school diploma, lower employment rate and number of single-parent families; compared to 4.1, 1.7, and 6.1 for Nova Scotia, respectively . While these data indicate greater discrepancies between the `rich and the poor´ in NS, the gap in average income between the least and most privileged groups was greater in the larger metropolitan areas of both Toronto ($32.8K) and Vancouver ($28.9K) compared to Nova Scotia as a whole ($23.8K).
Inequalities in mortality were not confined to differences between the `rich´ and the `poor´ or between the most and least socially or materially deprived, but rather, were observed over the entire socioeconomic spectrum, thus affecting every segment of the population. PM rates decreased monotonically from the most to the least disadvantaged quintile for both major and all causes mortality, with the exception of cancer and all causes mortality for which social deprivation resulted in higher PM rates in Q4. Socioeconomic inequalities were associated with more than a doubling in PM rates (i.e. 2.5 time higher) for the approximate 32,000 Nova Scotians (i.e. 4.3% of the population) experiencing a combination of the most extreme levels of material and social deprivation. Inequalities of similar magnitude have also been reported for Canada as a whole ) and Scotland . However, in Scotland, the ratio in PM rate between the most and least privileged, increased from 2.2 in 1981 to 4.3 in 2001 for all causes premature deaths. This widening gap was attributed to a sharp decline in PM in those most privileged at a time of increased PM in those most deprived.
The impact of material deprivation on PM was similar for urban and rural populations, whereas the impact of social deprivation on PM rates was significantly higher for those living in rural areas. The exception was PM due to external causes, which was higher in the most materially deprived rural populations and for which the impact of social deprivation on PM rate were similar in urban and rural populations. The mechanisms contributing to these overall differences are not well understood. With regards to external causes, some studies have reported increased mortality due to external causes with increasing material and social deprivation ; others have reported higher mortality due to external causes in rural populations ,; but few have examined the impact of the interaction between urban and rural status, socioeconomic indices and external causes of PM.
This study showed that about 40% (14,696 deaths) of premature deaths over an 11year-period were attributable to socioeconomic inequalities and thus, potentially avoidable. Of these, more than half were associated with social deprivation alone, a factor seldom accounted for in estimates of health risk in Canada. Due to varying study methodologies and limited research reporting on social disparities in premature mortality, it is difficult to compare these results to other studies. Nonetheless, a recent study indicates that up to 30% of excess deaths (all deaths) reported in sixteen European cities could be attributable to socioeconomic disparities . This figure is somewhat lower than that reported here, but may reflect a greater impact of socioeconomic inequalities on premature mortality in comparison to its impact on all deaths. Thus, the magnitude of the burden of PM due to social and material inequalities has far-reaching implications worldwide. Inequalities are undesirable; they affect everyone in terms of loss of potentially productive members of society, and represent added costs for the health care system and public sector ,.
Strengths and limitations
This study was based on 11years of provincial vital statistics data of which 98% was successfully geo-referenced, enabling deaths to be linked to census-derived deprivation scores. Other strengths include the use of validated composite measures of deprivation , which provide a more complete representation of the variability in deprivation relevant to health than do single indicator variables such as income ,,. In addition, the weight assigned to each variable included in the construction of the material and social indices of deprivation is determined based on the correlation structure that exists among the variables at the geographic level of interest, rather than being determined a priori.
A limitation of this study is the lower population densities of rural areas which can result in unstable modeled results -. Also, DAs can cover larger areas in rural NS, possibly resulting in more heterogeneous population profiles. In addition, as demonstrated earlier, the distribution in material and social wealth varied between urban and rural populations. Each of these factors could have reduced the estimated inequalities in PM rates due to the social and material deprivation in rural populations. A second limitation is that area-based indices can be prone to ecological fallacy when inferences are generalized to the individual level . They are also affected by the modifiable areas unit problem (MAUP), which affects the inference of the results from one scale of observation to another . Third, this study did not account for spatial dependency between DAs. Spatially correlated random effect terms are often used to account for this dependency; however, data provided for the study was aggregated by quintile of social and material deprivation and urban/rural regions and so did not permit such an analysis. Failure to account for spatial dependency may have artificially narrowed the confidence intervals for the β coefficients and resulted in an underestimation of the type I error rate. Finally, when calculating a population attributable fraction one assumes a causal relationship between the risk factors and health outcome of interest and independence of the considered risk factors from other factors that influence risk . However, it is unlikely that factors contributing to social and material deprivations are completely independent of other factors linked to PM, thus resulting in a possible overestimation in the overall attributable fraction.
Local and global perspective
Overall findings of a pervasive impact of socioeconomic deprivation on PM rates in NS are consistent with findings reported in other regions of Canada as well as in the United Kingdom, United States, Australia and elsewhere ,,,,,,,. Poor health outcome was not confined to the most disadvantaged. Socioeconomic inequity affected everyone; a pattern highlighted by the World Health Organization (WHO) not only for the most disadvantaged countries, but for countries of all income levels . The estimated twofold difference in PM rate between the least and most privileged population segments of NS is comparable to the 2.3 fold difference in PM rates seen between lower and higher income countries .
Canada acknowledges that raising the health status of people with the greatest need would have a major impact on overall health and could also improve the nation´s productivity, as suggested by the WHO Commission´s report on health equity. Using a recently validated index of deprivation, our study demonstrates the feasibility of identifying and quantifying, at a small area-level, social and material factors that contribute to PM and health inequity. It is likely that the overall impact of social and material inequalities on health will continue to increase as the difference in wealth between the rich and the poor continues to grow . Provincial and Federal governments in Canada and elsewhere have a responsibility to acknowledge and address these serious and growing issues that impact on health equity. Part of the effective delivery and evaluation of such policy changes must be the compilation of small area-level measures of health inequity and their determinants.
In NS, approximately 32,000 people aged 15years and older live in areas with extreme levels of deprivation, resulting in a doubling of their likelihood of dying prematurely. In this study, deprivation accounted for approximately 40% of premature deaths between 1995 and 2005, despite universal health care in Canada. The significant increases in PM with decreasing levels of social and material wealth observed in NS may reflect a small picture of what is happening at the national level and could translate into a serious public health burden. Also, while PM rates in those most privileged have been reported to be declining in recent years, those in the lower socioeconomic groups have either experienced slower proportional mortality decline or exhibited continued increase in PM. Part of this widening in health inequity may be due to a combination of individual characteristics and the environmental demands and constraints that affects the likelihood of adopting health-promoting behaviours. However, it could be argued that this growing inequity in health is rooted in greater societal inequities. Addressing the key factors that contribute to deprivation (e.g. employment, education, living arrangement), may suggest a form of intervention that would enable the individual to act on decisions that improve their health, which in turns would not only improve the health outcomes of Nova Scotians, but simultaneously reduce the health costs and burdens associated with an unnecessary and premature loss of life. Future studies should be designed to explore sex and age-specific patterns of socioeconomic deprivation on health. Analyses of age at death would allow the quantification of the number of potential years of life lost due to material and social deprivation. Based on a median age at death of 75years, a person dying at 15years of age results in the loss of 60 potential years of life, while that of a person aged 74years results in the loss of only 1 potential years of life. Such quantification would allow the assessment of the absolute impact of socioeconomic disparity on health and provide a more focused profile of the global burden of health inequity.
This work was supported by the Canadian Cancer Society [19889 to L.P.]; the Nova Scotia Health Research Foundation [MED SRA 009 5524 to N.S.J.]; and the Canadian Institute for Health Research [201010GSD-249658-164753 to N.S.J.]. The authors would like to thank Philippe Gamache and Robert Pampalon from l´Institut national de sant´ publique du Qu´bec; and Patrick Brown from the University of Toronto for their invaluable guidance and support.
- Marmot MG: Understanding social inequalities in health. Perspect Biol Med. 2003, 46 (3 Suppl): S9-S23. 10.1353/pbm.2003.0056.PubMedView ArticleGoogle Scholar
- Pickett KE, Pearl M: Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Commun H. 2001, 55: 111-122. 10.1136/jech.55.2.111.View ArticleGoogle Scholar
- Kawachi I, Berkman L: Neighborhoods and Health. 2003, Oxford University Press, New YorkView ArticleGoogle Scholar
- Townsend P: Deprivation. Int Soc Pol. 1987, 16: 125-146.Google Scholar
- Adler NE, Ostrove JM: Socioeconomic status and health: what We know and what We Don´t. Ann NY Acad Sci. 1999, 896: 3-15. 10.1111/j.1749-6632.1999.tb08101.x.PubMedView ArticleGoogle Scholar
- Adler NE, Rehkopf DH: U.S. Disparities in health: descriptions, causes, and mechanisms. Annu Rev Publ Health. 2008, 29: 235-252. 10.1146/annurev.publhealth.29.020907.090852.View ArticleGoogle Scholar
- Clegg LX, Reichman ME, Miller BA, Hankey BF, Singh GK, Lin YD, Goodman MT, Lynch CF, Schwartz SM, Chen VW, Bernstein L, Gomez SL, Graff JJ, Lin CC, Johnson NJ, Edwards BK: Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study. Cancer Causes Control. 2009, 20: 417-435. 10.1007/s10552-008-9256-0.PubMedView ArticleGoogle Scholar
- Sidorchuk A, Agardh EE, Aremu O, Hallqvist J, Allebeck P, Moradi T: Socioeconomic differences in lung cancer incidence: a systematic review and meta-analysis. Cancer Cause Control. 2009, 20: 459-471. 10.1007/s10552-009-9300-8.View ArticleGoogle Scholar
- Smith LK, Budd JLS, Field DJ, Draper ES: Socioeconomic inequalities in outcome of pregnancy and neonatal mortality associated with congenital anomalies: population based study. BMJ. 2011, 343: d4306-d4306. 10.1136/bmj.d4306.PubMed CentralPubMedView ArticleGoogle Scholar
- Wu SH, Woo J, Zhang X-H: Worldwide socioeconomic status and stroke mortality: an ecological study. Int J Equity Health. 2013, 12: 42-10.1186/1475-9276-12-42.PubMed CentralPubMedView ArticleGoogle Scholar
- Feinstein JS: Relationship between socioeconomic status and health: A review of the litterature. Millbank Q. 1993, 71: 279-322. 10.2307/3350401.View ArticleGoogle Scholar
- Veugelers PJ, Yip AM: Socioeconomic disparities in health care use: Does universal coverage reduce inequalities in health?. J Epidemiol Commun H. 2003, 57: 424-428. 10.1136/jech.57.6.424.View ArticleGoogle Scholar
- Hayward K, Colman R: The Tides of Changes. Adressing inequity and chronic disease in Atlantic Canada, a discussion paper. Health Canada; 2003.Google Scholar
- Pampalon R, Hamel D, Gamache P, Raymond G: A deprivation index for health planning in Canada. Chronic Dis Can. 2009, 29: 178-191.PubMedGoogle Scholar
- Mackenbach JP: The persistence of health inequalities in modern welfare states: The explanation of a paradox. Soc Sci Med. 2012, 75: 761-769. 10.1016/j.socscimed.2012.02.031.PubMedView ArticleGoogle Scholar
- Eames M, Ben-Shlomo Y, Marmot MG: Social deprivation and premature mortality: regional comparison across England. BMJ. 1993, 307: 1097-1102. 10.1136/bmj.307.6912.1097.PubMed CentralPubMedView ArticleGoogle Scholar
- Exeter DJ, Boyle PJ, Norman P: Deprivation (im)mobility and cause-specific premature mortality in Scotland. Soc Sci Med. 2011, 72: 389-397. 10.1016/j.socscimed.2010.10.009. [13th International Medical Geography Symposium]PubMedView ArticleGoogle Scholar
- Borrell C, Marí-Dell´olmo M, Palència L, Gotsens M, Burström BO, Dominguez-Berjón F, Rodriguez-Sanz M, Dzúrová D, Gandarillas A, Hoffmann R, Kovacs K, Marinacci C, Martikainen P, Pikhart H, Corman D, Rosicova K, Saez M, Santana P, Tarkiainen L, Puigpinós R, Morrison J, Pasarin MI, Diez : Socioeconomic inequalities in mortality in 16 European cities. Scand J Public Health. 2014, 42: 245-254. 10.1177/1403494814522556.PubMedView ArticleGoogle Scholar
- Kawachi I, Kennedy BP, Lochner K, Prothrow-Stith D: Social capital, income inequality, and mortality. Am J Public Health. 1997, 87: 1491-10.2105/AJPH.87.9.1491.PubMed CentralPubMedView ArticleGoogle Scholar
- Mackenbach JP, Bos V, Andersen O, Cardano M, Costa G, Harding S, Reid A, Hemström , Valkonen T, Kunst AE: Widening socioeconomic inequalities in mortality in six Western European countries. Int J Epidemiol. 2003, 32: 830-837. 10.1093/ije/dyg209.PubMedView ArticleGoogle Scholar
- Marmot M, Wilkinson RG: Social Determinants of Health. Second. 2008, Oxford University Press, Great BritainGoogle Scholar
- Mikkonen J, Raphael DL: Social Determinants of Health: The Canadian Facts. 2010, York University School of Health Policy and Management, TorontoGoogle Scholar
- Menzin J, Marton JP, Menzin JA, Willke RJ, Woodward RM, Federico V: Lost productivity due to premature mortality in developed and emerging countries: an application to smoking cessation. BMC Med Res Methodol. 2012, 12: 87-10.1186/1471-2288-12-87.PubMed CentralPubMedView ArticleGoogle Scholar
- CSDH: Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health. Final Report of the Commission on Social Determinants of Health. 2008, World Health Organization, Geneva, SwitzerlandGoogle Scholar
- Human Resources and Skills Development Canada: Health - Mortality from leading diseases. 2012, [www4.hrsdc.gc.ca/.3ndic.1t.4r@-eng.jsp?iid=5]
- Pampalon R, Hamel D, Gamache P, Simpson A, Philibert D: Valdiation of a deprivation index for public health: a complex exercise illustrated by the Quebec index. Chronic Dis Can. 2014, 34: 12-22.Google Scholar
- Jarman B: Identification of underprivileged areas. Br Med J (Clin Res Ed). 1983, 287: 130-131. 10.1136/bmj.287.6385.130-c.View ArticleGoogle Scholar
- Morris R, Carstairs V: Which deprivation? A comparison of selected deprivation indexes. J Public Health. 1991, 13: 318-326.Google Scholar
- Benach J, Yasui Y: Geographical patterns of excess mortality in Spain explained by two indices of deprivation. J Epidemiol Commun H. 1999, 53: 423-431. 10.1136/jech.53.7.423.View ArticleGoogle Scholar
- Salmond C, Crampton P, Sutton F: NZDep91: A New Zealand index of deprivation. Aust N Z J Public Health. 1998, 22: 835-837. 10.1111/j.1467-842X.1998.tb01505.x.PubMedView ArticleGoogle Scholar
- Niggebrugge A, Haynes R, Jones A, Lovett A, Harvey I: The index of multiple deprivation 2000 access domain: a useful indicator for public health?. Soc Sci Med. 2005, 60: 2743-2753. 10.1016/j.socscimed.2004.11.026.PubMedView ArticleGoogle Scholar
- Bell N, Schuurman N, Oliver L, HAYES MV: Towards the construction of place-specific measures of deprivation: a case study from the Vancouver metropolitan area. Can Geogr-Géogr can. 2007, 51: 444-461. 10.1111/j.1541-0064.2007.00191.x.View ArticleGoogle Scholar
- Pampalon R, Hamel D, Gamache P, Philibert MD, Raymond G, Simpson A: An area-based material and social deprivation index for public health in Qu´bec and Canada. Can J Public Health. 2012, 103 (8 Suppl 2): S17-S22.PubMedGoogle Scholar
- Testi A, Ivaldi E: Material versus social deprivation and health: a case study of an urban area. Eur J Health Econ. 2009, 10: 323-328. 10.1007/s10198-008-0136-z.PubMedView ArticleGoogle Scholar
- Windenberger F, Rican S, Jougla E, Rey G: Spatiotemporal association between deprivation and mortality: trends in France during the nineties. Eur J Public Health. 2012, 22: 347-353. 10.1093/eurpub/ckr029.PubMed CentralPubMedView ArticleGoogle Scholar
- Panczak R, Galobardes B, Voorpostel M, Spoerri A, Zwahlen M, Egger M: A Swiss neighbourhood index of socioeconomic position: development and association with mortality. J Epidemiol Commun H. 2012, 66: 1129-1136. 10.1136/jech-2011-200699.View ArticleGoogle Scholar
- Torres-Cintrón M, Ortiz A, Ortiz-Ortiz K, Figueroa-Vallés N, Pérez-Irizarry J, Diaz-Medina G: Using a Socioeconomic Position Index to Assess Disparities in Cancer Incidence and Mortality, Puerto Rico, 1995-2004. Prev Chronic Dis. 2012, 9: 1-10. PMC3298767Google Scholar
- Pampalon R, Raymond G: A deprivation index for health and welfare planning in Quebec. Chronic Dis Can. 2000, 21: 104-113.PubMedGoogle Scholar
- Blackweel DL: Family structure and children´s health in the United States: findings from the National Health Interview Survey, 2001-2007. Vital Health Statistics. 2010, 246: 1-166. [Data from the National Health Survey Interview Survey]Google Scholar
- Remes H, Martikainen P, Valkonen T: The effects of family type on child mortality. Eur J Public Health. 2011, 21: 688-693. 10.1093/eurpub/ckq159.PubMedView ArticleGoogle Scholar
- Oleckno B: Essential Epidemiology: Principles and Applications. 2002, Waveland Press, Inc., USAGoogle Scholar
- Legendre P, Legendre L: Numerical Ecology. 1998, Elsevier, Amsterdam, NetherlandsGoogle Scholar
- Du Plessis V, Beshiri R, Bollman RD, Clemenson H: Rural and Small Town Canada. Government, 17: Statistics Canada. 2001Google Scholar
- Cubbin C, LeClere FB, Smith GS: Socioeconomic status and injury mortality: individual and neighbourhood determinants. J Epidemiol Commun H. 2000, 54: 517-524. 10.1136/jech.54.7.517.View ArticleGoogle Scholar
- Liu Q, Zhang L, Li J, Zuo D, Kong D, Shen X, Guo Y, Zhang Q: The gap in injury mortality rates between urban and rural residents of Hubei province. China. BMC Public Health. 2012, 12: 180-10.1186/1471-2458-12-180.View ArticleGoogle Scholar
- Alexandrescu R, O´Brien SJ, Lecky FE: A review of injury epidemiology in the UK and Europe: some methodological considerations in constructing rates. BMC Public Health. 2009, 9: 226-10.1186/1471-2458-9-226.PubMed CentralPubMedView ArticleGoogle Scholar
- Woodward A, Kawachi I: Why reduce health inequalities?. J Epidemiol Commun H. 2000, 54: 923-929. 10.1136/jech.54.12.923.View ArticleGoogle Scholar
- Richardson EA, Mitchell R, Shortt NK, Pearce J, Dawson TP: Developing summary measures of health-related multiple physical environmental deprivation for epidemiological research. Environ Plann A. 2010, 42: 1650-1668. 10.1068/a42459.View ArticleGoogle Scholar
- Chronic Diseases and Injuries in Canada - Validation of a deprivation index for public health: a complex exercise illustrated by the Quebec index - Public Health Agency of Canada. [http://www.phac-aspc.gc.ca/publicat/cdic-mcbc/34-1/ar-03-eng.php]
- Pampalon R, Hamel D, Gamache P: Health inequalities in urban and rural Canada: Comparing inequalities in survival according to an individual and area-based deprivation index. Health Place. 2010, 16: 416-420. 10.1016/j.healthplace.2009.11.012.PubMedView ArticleGoogle Scholar
- Haynes R, Gale S: Deprivation and poor health in rural areas: inequalities hidden by averages. Health Place. 2000, 6: 275-285. 10.1016/S1353-8292(00)00009-5.PubMedView ArticleGoogle Scholar
- Pampalon R, Hamel D, Gamache P: A comparison of individual and area-based socio-economic data for monitoring social inequalities in health. Health Report. 2009, 20: 85-94. [No. 82-003-X]Google Scholar
- Openshaw S: The modifiable areal unit problem. Norwick: Geo Books. OCLC 12052482; 1984. ISBN 0860941345.Google Scholar
- Rockhill B, Newman B, Abernathy C: Use and misuse of population attributable fractions. Am J Public Health. 1998, 88: 15-19. 10.2105/AJPH.88.1.15.PubMed CentralPubMedView ArticleGoogle Scholar
- Doubeni C, Schootman M, Major JA, Laiyemo A, Yikyung P, Min L, Messer L, Graubard B, Sinha R, Hollenbeck A, Schatzkin A: Health status, neighborhood socioeconomic context, and premature mortality in the united states: the national institutes of health-AARP diet and health study. Am J Public Health. 2012, 102: 680-688. 10.2105/AJPH.2011.300158.PubMed CentralPubMedView ArticleGoogle Scholar
- Turrell G, Mathers C: Socioeconomic inequalities in all-cause and specific-cause mortality in Australia: 1985-1987 and 1995-1997. Int J Epidemiol. 2001, 30: 231-239. 10.1093/ije/30.2.231.PubMedView ArticleGoogle Scholar
- World Development Indicators | The World Bank. [http://wdi.worldbank.org/table/2.21]
- CPHA: Canadian Public Health Association response to the World Health Organization (WHO) Commissions´s Report-Closing the gap in a generation: Health Equity through action on the social determinants of health. 2008.Google Scholar
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