Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution
Background: Socioeconomic status (SES) is an important determinant of health and potential modifier of the effects of environmental contaminants. There has been a lack of comprehensive indices for measuring overall SES in Canada. Here, a more comprehensive SES index is developed aiming to support fu...
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ftborealisdata:doi:10.7939/DVN/TCZRUP 2023-05-15T17:22:54+02:00 Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution Chan, Emily Serrano, Jesus Chen, Li Steib, David M. Jerrett, Michael Osornio-Vargas, Alvaro Osornio-Vargas, Alvaro https://doi.org/10.7939/DVN/TCZRUP English eng Borealis https://doi.org/10.7939/DVN/TCZRUP Socioeconomic data were analyzed from the Canadian Census 2006. For our evaluation, we extracted Census data from CANSIM, Canada’s socioeconomic database which provides free access to a range of the latest statistics. The Census was completed on May 16, 2006 and 32.5 million people were included. One in every five households received a long questionnaire with 53 questions in comparison to 8 for the short form. Here, we used data from the long questionnaire forms. These data cover all of Canada’s dissemination areas (DAs), which are small regions consisting of 400 to 700 people. Canada has 52974 DAs, ranging from 34 for Nunavut to 18923 for Ontario. Earth and Environmental Sciences Medicine Health and Life Sciences Social Sciences Socioeconomic status Environment Health Mail Questionnaire ftborealisdata https://doi.org/10.7939/DVN/TCZRUP 2022-10-10T05:52:23Z Background: Socioeconomic status (SES) is an important determinant of health and potential modifier of the effects of environmental contaminants. There has been a lack of comprehensive indices for measuring overall SES in Canada. Here, a more comprehensive SES index is developed aiming to support future studies exploring health outcomes related to environmental pollution in Canada. Methods: SES variables (n=22, Census Canada 2006) were selected based on: cultural identities, housing characteristics, variables identified in Canadian environmental injustice studies and a previous deprivation index (Pampalon index). Principal component analysis with a single varimax rotation (factor loadings=¦60¦) was performed on SES variables for 52974 census dissemination areas (DA). The final index was created by averaging the factor scores per DA according to the three components retained. The index was validated by examining its association with preterm birth (gestational age<37 weeks), term low birth weight (LBW, <2500 g), small for gestational age (SGA, <10 percentile of birth weight for gestational age) and PM2.5 (particulate matter=2.5 µm) exposures in Edmonton, Alberta (1999–2008). Results: Index values exhibited a relatively normal distribution (median=0.11, mean=0.0, SD=0.58) across Canada. Values in Alberta tended to be higher than in Newfoundland and Labrador, Northwest Territories and Nunavut (Pearson chi-square p<0.001 across provinces). Lower quintiles of our index and the Pampalon’s index confirmed know associations with a higher prevalence of LBW, SGA, preterm birth and PM2.5 exposure. Results with our index exhibited greater statistical significance and a more consistent gradient of PM2.5 levels and prevalence of pregnancy outcomes. Conclusions: Our index reflects more dimensions of SES than an earlier index and it performed superiorly in capturing gradients in prevalence of pregnancy outcomes. It can be used for future research involving environmental pollution and health in Canada. These metadata ... Other/Unknown Material Newfoundland Northwest Territories Nunavut Borealis Canada Newfoundland Northwest Territories Nunavut |
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Open Polar |
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Borealis |
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English |
topic |
Earth and Environmental Sciences Medicine Health and Life Sciences Social Sciences Socioeconomic status Environment Health |
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Earth and Environmental Sciences Medicine Health and Life Sciences Social Sciences Socioeconomic status Environment Health Chan, Emily Serrano, Jesus Chen, Li Steib, David M. Jerrett, Michael Osornio-Vargas, Alvaro Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
topic_facet |
Earth and Environmental Sciences Medicine Health and Life Sciences Social Sciences Socioeconomic status Environment Health |
description |
Background: Socioeconomic status (SES) is an important determinant of health and potential modifier of the effects of environmental contaminants. There has been a lack of comprehensive indices for measuring overall SES in Canada. Here, a more comprehensive SES index is developed aiming to support future studies exploring health outcomes related to environmental pollution in Canada. Methods: SES variables (n=22, Census Canada 2006) were selected based on: cultural identities, housing characteristics, variables identified in Canadian environmental injustice studies and a previous deprivation index (Pampalon index). Principal component analysis with a single varimax rotation (factor loadings=¦60¦) was performed on SES variables for 52974 census dissemination areas (DA). The final index was created by averaging the factor scores per DA according to the three components retained. The index was validated by examining its association with preterm birth (gestational age<37 weeks), term low birth weight (LBW, <2500 g), small for gestational age (SGA, <10 percentile of birth weight for gestational age) and PM2.5 (particulate matter=2.5 µm) exposures in Edmonton, Alberta (1999–2008). Results: Index values exhibited a relatively normal distribution (median=0.11, mean=0.0, SD=0.58) across Canada. Values in Alberta tended to be higher than in Newfoundland and Labrador, Northwest Territories and Nunavut (Pearson chi-square p<0.001 across provinces). Lower quintiles of our index and the Pampalon’s index confirmed know associations with a higher prevalence of LBW, SGA, preterm birth and PM2.5 exposure. Results with our index exhibited greater statistical significance and a more consistent gradient of PM2.5 levels and prevalence of pregnancy outcomes. Conclusions: Our index reflects more dimensions of SES than an earlier index and it performed superiorly in capturing gradients in prevalence of pregnancy outcomes. It can be used for future research involving environmental pollution and health in Canada. These metadata ... |
author2 |
Osornio-Vargas, Alvaro |
format |
Other/Unknown Material |
author |
Chan, Emily Serrano, Jesus Chen, Li Steib, David M. Jerrett, Michael Osornio-Vargas, Alvaro |
author_facet |
Chan, Emily Serrano, Jesus Chen, Li Steib, David M. Jerrett, Michael Osornio-Vargas, Alvaro |
author_sort |
Chan, Emily |
title |
Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
title_short |
Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
title_full |
Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
title_fullStr |
Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
title_full_unstemmed |
Chan SES: Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
title_sort |
chan ses: development of a canadian socioeconomic status index for the study of health outcomes related to environmental pollution |
publisher |
Borealis |
url |
https://doi.org/10.7939/DVN/TCZRUP |
geographic |
Canada Newfoundland Northwest Territories Nunavut |
geographic_facet |
Canada Newfoundland Northwest Territories Nunavut |
genre |
Newfoundland Northwest Territories Nunavut |
genre_facet |
Newfoundland Northwest Territories Nunavut |
op_source |
Socioeconomic data were analyzed from the Canadian Census 2006. For our evaluation, we extracted Census data from CANSIM, Canada’s socioeconomic database which provides free access to a range of the latest statistics. The Census was completed on May 16, 2006 and 32.5 million people were included. One in every five households received a long questionnaire with 53 questions in comparison to 8 for the short form. Here, we used data from the long questionnaire forms. These data cover all of Canada’s dissemination areas (DAs), which are small regions consisting of 400 to 700 people. Canada has 52974 DAs, ranging from 34 for Nunavut to 18923 for Ontario. |
op_relation |
https://doi.org/10.7939/DVN/TCZRUP |
op_doi |
https://doi.org/10.7939/DVN/TCZRUP |
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1766109807079587840 |