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Volume 30, no. 1, December 2009

Images Long Descriptions

Article 1

Figure 1a
Adult obesity (BMI ≥ 30) prevalence by health region, age and sex standardized to the 2005 Canadian population (25-64 years), Canadian Community Health Survey, 2005

Rates of obesity varied by health region from a low of 8.90% to a high of 32.24%. The highest rates of obesity were observed in Saskatchewan, south central Manitoba and the east coast (Newfoundland, Labrador and New Brunswick) and the lowest in southern British Columbia, central Alberta, southern Ontario and Quebec. The major urban centers of Vancouver and lower mainland British Columbia, Calgary, Ottawa, Montreal and Toronto were included in the lowest rate regions.

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Figure 1b
Adult overweight/obesity (BMI ≥ 25) prevalence by health region, age and sex standardized to the 2005 Canadian population (25-64 years), Canadian Community Health Survey, 2005

Rates of overweight/obesity varied by health region from a low of 36.28% to a high of 71.11%. The highest rates of overweight/obesity were observed Saskatchewan, south central Manitoba and the east coast (Newfoundland, Labrador and New Brunswick) and the lowest in southern British Columbia, central Alberta, southern Ontario and Quebec. The major urban centers of Vancouver and lower mainland British Columbia, Calgary, Ottawa, Montreal and Toronto were included in the lowest rate regions.

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Figure 2a
Gini coefficient, adult (males and females, 25-64 years) obesity (BMI ≥ 30) by health region

The Lorenz curves show that in the case of geography (both genders), with a Gini coefficient of 0.153, only 18% of the cases of obesity are contained in the 10% of the geographically defined population having the highest risk of obesity.

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Figure 2b
Gini coefficient, adult (females 25-64 years) obesity (BMI ≥ 30), by income

The Lorenz curves show that in the case of income (both genders), with a Gini coefficient of 0.129, only 13% of the cases of obesity are contained in the 10% of the income classified population at highest risk of obesity.

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Article 3

Figure 1
Model estimated relative risk for baseline definition asthmatics

Figure 1 illustrates the model-predicted geographic distribution of baseline asthmatics in the study cohort. There is variation in the rate of asthma among the baseline asthmatics, with the relative risk highest in the city of Calgary where it was 22% higher than the provincial average. The Edmonton area had relative risk very close to the provincial average (0.3% higher than the provincial average). Rural areas of central and northern Alberta had the lowest prevalence of asthma in the cohort.

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Figure 2
Significant clusters under a null hypothesis of constant-risk

Statistically significant clusters under the two null hypotheses are mapped. Based on our null hypothesis of constant-risk, all test case-definitions of asthma with the exception of “B” were associated with a statistically significant most-likely cluster. Cluster “B”, though not statistically significant, was located in a similar region to cluster “D”.

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Figure 3
Significant clusters under a null hypothesis of constant case definition

The relative risk associated with each cluster is relatively small; in most cases, the study population located inside the cluster had a 25% higher risk of asthma than the study population located outside the cluster. The one exception corresponded to case definition “F”, for which the relative risk of asthma inside the cluster is more than double the risk outside the cluster. All mapped clusters represent regions where the likelihood of rejecting the null hypothesis of constant risk was highest for each of the case definitions.

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