Search results
Income, race, social status, and education
- Factors such as income, race, social status, and education have the strongest effects on health equity. Recent studies have also shown that on average, the lowest-income Canadians get 11.3 fewer healthy years throughout their lifetime than the highest-income Canadians.
www.national.ca/en/perspectives/detail/health-equity-in-canada-why-is-it-so-important-and-how-can-we-drive-change/Health equity in Canada: Why is it so important and how can ...
People also ask
What factors affect health equity in Canada?
What factors affect health equity?
Why are health inequalities growing in Canada?
What is the key health inequalities in Canada report?
What are examples of health inequalities in Canada?
Why is health equity important in Canada?
Dec 14, 2021 · Factors such as income, race, social status, and education have the strongest effects on health equity. Recent studies have also shown that on average, the lowest-income Canadians get 11.3 fewer healthy years throughout their lifetime than the highest-income Canadians.
May 28, 2018 · The Key Health Inequalities in Canada report describes the degree and distribution of key health inequalities in Canada, a critical step in taking action to advance health equity.
Sep 8, 2020 · Inequities in access to education, income, employment, housing, and food security can drive inequities in health and wellbeing. Here, too, there are intergenerational effects, like the inability to transmit wealth, which can shape the life chances of each new generation.
The Health Inequalities Data Tool contains a large set of data on health inequalities in Canada by subgroups of the Canadian population, including by social, economic and demographic factors. For example, the size and impacts of health inequalities are available by Indigenous Peoples, Black Canadians, immigrants or Canadians living in rural ...
Jan 15, 2020 · This study uses the 1996 and 2011 Canadian Census Health and Environment Cohorts (CanCHECs), with a five-year mortality follow-up, to estimate the LE of the household population. It also incorporates information from two national health surveys to estimate health-adjusted life expectancy (HALE).
These underlying social and economic conditions affect who is more likely to be exposed to the virus (severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2) through working or living conditions, as well as their access to treatment and their likelihood of severe illness.
As cases of COVID-19 began to increase in Ontario, Canada, throughout 2020, early evidence from surveil-lance and media highlighted disproportionately higher rates of COVID-19 infection, hospitalization and mortality among racialized and low-income populations.