Literature DB >> 8828746

HIV/AIDS mortality in Canada: evidence of gender, regional and local area differentials.

R S Hogg1, K V Heath, S A Strathdee, J S Montaner, M V O'Shaughnessy, M T Schechter.   

Abstract

OBJECTIVE: To assess the impact of HIV infection and AIDS on mortality patterns in Canada with specific reference to gender and regional differentials and to other leading causes of death.
DESIGN: Descriptive, population-based study.
SETTING: Canada. PATIENTS: All persons for whom HIV/AIDS [ninth revision of the International Classification of Diseases (ICD-9) 042-044] was recorded as the underlying cause of death as reported to Statistics Canada between 1987 and 1992. For comparative purposes data was obtained on five other leading underlying causes of death including coronary heart disease (ICD-9 410-414), motor vehicle accidents (ICD-9 E810-E819), and suicides (ICD-9 E950-E959) in men and women, lung cancer (ICD-9 162) in men and breast cancer (ICD-9 174) in women. Population figures were obtained from Statistics Canada estimates. MAIN OUTCOME MEASURES: Age and cause-specific mortality rates, standardized mortality ratios (SMR), potential years of life lost (PYLL) before age 65 years, and life expectancy lost due to a select underlying cause of death.
RESULTS: Over the period 1 January 1987 to 31 December 1992, 5546 deaths attributed to HIV/AIDS (5229 in men and 317 in women) were recorded in Canada. SMR for men were significantly higher than the national average in the cities of Vancouver, Toronto and Montreal, whereas those for women were significantly greater only in Montreal. Deaths from HIV/AIDS accounted for 3.6% of PYLL in men and 0.4% of PYLL in women. In 1992, HIV/AIDS was the third leading cause of male PYLL surpassing lung cancer. In the cities of Montreal, Toronto, and Vancouver HIV/AIDS was the leading cause of PYLL and was responsible for significant decrease in life expectancy at birth in men over the study period.
CONCLUSIONS: HIV/AIDS has had considerable impact on mortality within Canada, principally among men and particularly in the cities of Toronto, Vancouver and Montreal.

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Year:  1996        PMID: 8828746

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  8 in total

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Authors:  E Wood; S Low-Beer; K Bartholomew; M Landolt; D Oram; M V O'Shaughnessy; R S Hogg
Journal:  Can J Public Health       Date:  2000 Mar-Apr

2.  Regional and temporal changes in HIV-related mortality in British Columbia, 1987-2006.

Authors:  Viviane D Lima; Katherine J Lepik; Wendy Zhang; Katherine A Muldoon; Robert S Hogg; Julio S G Montaner
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Review 3.  HIV/AIDS mortality in trends in Canada, 1987-1998.

Authors:  Dena L Schanzer
Journal:  Can J Public Health       Date:  2003 Mar-Apr

4.  HIV infection and risk behaviours among young gay and bisexual men in Vancouver.

Authors:  S A Strathdee; S L Martindale; P G Cornelisse; M L Miller; K J Craib; M T Schechter; M V O'Shaughnessy; R S Hogg
Journal:  CMAJ       Date:  2000-01-11       Impact factor: 8.262

5.  Morbidity and mortality related to human immunodeficiency virus in Canadian men and women, 1987-94.

Authors:  A E Weber; R S Hogg
Journal:  Can J Public Health       Date:  1999 Mar-Apr

6.  Increases in CD4+ T-cell count at antiretroviral therapy initiation among HIV-positive illicit drug users during a treatment-as-prevention initiative in Canada.

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Journal:  Antivir Ther       Date:  2017-02-24

7.  Shifting sands: changing regional and gender-specific patterns of HIV/AIDS mortality in Canada, 1987 to 2008.

Authors:  Lindsay M Belvedere; Caroline L Miller; Robert S Hogg
Journal:  Can J Public Health       Date:  2012 May-Jun

8.  Changes in mortality rates and causes of death in a population-based cohort of persons living with and without HIV from 1996 to 2012.

Authors:  Oghenowede Eyawo; Conrado Franco-Villalobos; Mark W Hull; Adriana Nohpal; Hasina Samji; Paul Sereda; Viviane D Lima; Jeannie Shoveller; David Moore; Julio S G Montaner; Robert S Hogg
Journal:  BMC Infect Dis       Date:  2017-02-27       Impact factor: 3.090

  8 in total

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