2011
DOI: 10.1016/j.healthpol.2010.07.018
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Diabetes prevalence and income: Results of the Canadian Community Health Survey

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Cited by 122 publications
(92 citation statements)
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“…42,43 A comprehensive primary care model has been suggested to enhance the effectiveness of primary care providers and degree of collaboration between primary care providers and eye care services providers. 44 Our finding that known clinical risk factors such as sex, age, and duration of diabetes are associated with visual impairment is in line with other epidemiologic studies, [45][46][47][48][49][50] which indirectly validates the other conclusions of the study. Well-established clinical evidence indicates that the risk for eye disease such as DR, glaucoma, and cataract increases in both prevalence and severity in older age groups.…”
Section: Resultssupporting
confidence: 90%
See 1 more Smart Citation
“…42,43 A comprehensive primary care model has been suggested to enhance the effectiveness of primary care providers and degree of collaboration between primary care providers and eye care services providers. 44 Our finding that known clinical risk factors such as sex, age, and duration of diabetes are associated with visual impairment is in line with other epidemiologic studies, [45][46][47][48][49][50] which indirectly validates the other conclusions of the study. Well-established clinical evidence indicates that the risk for eye disease such as DR, glaucoma, and cataract increases in both prevalence and severity in older age groups.…”
Section: Resultssupporting
confidence: 90%
“…In contrast, there is evidence from previous studies that health is generally influenced by income and is shaped over time by the SES imposed on individuals at different stages of life. 22,50 The greater prevalence of visual impairment in Ontario and British Columbia compared with Atlantic Canada is difficult to explain. Although we controlled for age, sex, income, and duration of diabetes, other factors not adequately controlled in our model might account for some of the difference, also called residual confounding.…”
Section: Resultsmentioning
confidence: 99%
“…For example, strong associations have been observed between poverty, low education and type 2 diabetes among African–American women27 28 and among White women and men in the USA 29. Similarly, a study from Canada described an inversely graded SES–diabetes association with an OR of 1.9 for men (95% confidence interval (CI) 1.6 to 2.4) and 2.8 (95% CI 2.2 to 3.4) for women for the lowest versus highest income groups 30. A recent meta-analysis of 23 case–control and cohort studies and 43 measures of SES–diabetes association revealed an overall increased risk for type 2 diabetes for low SES groups based on education, occupation and income 31.…”
Section: Introductionmentioning
confidence: 92%
“…People living in poverty had a 41% higher likelihood of developing type 2 diabetes [22,23]. Similarly, Diabetes UK [3] also reported that women in England in the most deprived areasare four times more likely to have diabetes than those who live in the most affluent area.…”
Section: Discussionmentioning
confidence: 99%