Literature DB >> 29650620

Relationship between income and mortality in a Canadian family practice cohort.

Murray Finkelstein1.   

Abstract

OBJECTIVE: To examine the relationship between household income and mortality in a primary care cohort while using personal information obtained from clinical records and administrative data linkages to adjust for confounders.
DESIGN: Survey and analysis of data from several administrative databases.
SETTING: Toronto, Ont. PARTICIPANTS: Patients of an urban academic family practice who were aged between 45 and 74 and who had made at least 3 visits to the clinic between 1996 and 1997. MAIN OUTCOME MEASURES: Patients' self-reported household income. Patients' personal information obtained from clinical records and linkages to administrative data to adjust for confounders; personal information was used to adjust for health factors as confounders of the relationship between income and mortality risk.
RESULTS: Of the 1064 patients who received surveys, 519 (49%) responded. There was no significant difference in the mortality rate between nonresponders and responders. Mortality rates were lower than those in the general population throughout follow-up. Within the patient cohort, mortality rates were elevated for smokers, those who had not consumed alcohol in the year before the survey, and those who had been diagnosed with diabetes, hypertension, or cancer before the survey. After all adjustments were made, mortality rates were lower among patients in the higher-income categories than among those with lower household incomes.
CONCLUSION: Universal health care does not eliminate income-related differentials in mortality. Differences in health-related behaviour factors are not sufficient to explain the socioeconomic mortality differences within an area. These data suggest that it is not solely personal choice related to health behaviour but that other explanations must be invoked to account for the relationship between lower household income and increased mortality rates. Copyright© the College of Family Physicians of Canada.

Entities:  

Mesh:

Year:  2018        PMID: 29650620      PMCID: PMC5897086     

Source DB:  PubMed          Journal:  Can Fam Physician        ISSN: 0008-350X            Impact factor:   3.275


  10 in total

1.  Socio-economic status and the utilisation of physicians' services: results from the Canadian National Population Health Survey.

Authors:  S Dunlop; P C Coyte; W McIsaac
Journal:  Soc Sci Med       Date:  2000-07       Impact factor: 4.634

2.  Do factors other than need determine utilization of physicians' services in Ontario?

Authors:  M M Finkelstein
Journal:  CMAJ       Date:  2001-09-04       Impact factor: 8.262

3.  Socioeconomic determinants of mortality in two Canadian provinces: multilevel modelling and neighborhood context.

Authors:  Leslie L Roos; Jennifer Magoon; Sumit Gupta; Dan Chateau; Paul J Veugelers
Journal:  Soc Sci Med       Date:  2004-10       Impact factor: 4.634

Review 4.  Review: a gentle introduction to imputation of missing values.

Authors:  A Rogier T Donders; Geert J M G van der Heijden; Theo Stijnen; Karel G M Moons
Journal:  J Clin Epidemiol       Date:  2006-07-11       Impact factor: 6.437

5.  The Canadian census mortality follow-up study, 1991 through 2001.

Authors:  Russell Wilkins; Michael Tjepkema; Cameron Mustard; Robert Choinière
Journal:  Health Rep       Date:  2008-09       Impact factor: 4.796

6.  Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm.

Authors:  Janet E Hux; Frank Ivis; Virginia Flintoft; Adina Bica
Journal:  Diabetes Care       Date:  2002-03       Impact factor: 19.112

7.  Multiple imputation using chained equations: Issues and guidance for practice.

Authors:  Ian R White; Patrick Royston; Angela M Wood
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

8.  The Association Between Income and Life Expectancy in the United States, 2001-2014.

Authors:  Raj Chetty; Michael Stepner; Sarah Abraham; Shelby Lin; Benjamin Scuderi; Nicholas Turner; Augustin Bergeron; David Cutler
Journal:  JAMA       Date:  2016-04-26       Impact factor: 56.272

9.  Validation of a case definition to define hypertension using administrative data.

Authors:  Hude Quan; Nadia Khan; Brenda R Hemmelgarn; Karen Tu; Guanmin Chen; Norm Campbell; Michael D Hill; William A Ghali; Finlay A McAlister
Journal:  Hypertension       Date:  2009-10-26       Impact factor: 10.190

10.  A cohort study of traffic-related air pollution and mortality in Toronto, Ontario, Canada.

Authors:  Michael Jerrett; Murray M Finkelstein; Jeffrey R Brook; M Altaf Arain; Palvos Kanaroglou; Dave M Stieb; Nicolas L Gilbert; Dave Verma; Norm Finkelstein; Kenneth R Chapman; Malcolm R Sears
Journal:  Environ Health Perspect       Date:  2009-01-05       Impact factor: 9.031

  10 in total
  1 in total

1.  The Effect of Neighborhood Deprivation on Mortality in Newly Diagnosed Diabetes Patients: A Countrywide Population-Based Korean Retrospective Cohort Study, 2002-2013.

Authors:  Kyoung-Hee Cho; Juyeong Kim; Young Choi; Tae-Hyun Kim
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 3.390

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.