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The data presented here was collected by the Canadian Community Health Survey (2007-2012). Participants were asked to indicate if they had a diagnosed mood disorder which was expected to last or had already lasted at least six months. Examples of mood disorders were described to participants as depression, bipolar disorder, mania, or dysthymia. The percentage of individuals in Windsor-Essex County who reported they had a mood disorder is presented below. The impact that age and sex, as well as various social variables have on rates is also presented.

Table 1: Percentage of Individuals Reporting a Mood Disorder by Year, Ages 12 and Older
  2007 2008 2009 2010 2011 2012
Percent (%) 8.5 9.3 6.8 E 5.8 E 7.4 E 7.6 E
95% CI 6.4-11.3 6.7-12.8 4.8-9.4 3.9-8.6 4.8-11.3 4.8-11.6

E Interpret with caution due to high sampling variability.

Table 2: Percentage of Individuals Reporting a Mood Disorder by Age and Sex, 2007-2012
  Male
Percent (95% CI)
Female
Percent (95% CI)
Total
Both Sexes
Age 12 to 19 4.3 E (2.2-8.0) NR 3.9 E (2.5-6.1)
Age 20 to 44 3.1 E (1.9-5.1) 10.9 (8.1-14.6) 7.0 (5.5-8.9)
Age 45 to 64 8.4 E (5.6-12.5) 11.0 E (7.9-15.2)  9.7 (7.5-12.5)
Age 65 and over 7.7 E (4.6-12.5) 7.4 E (4.9-11.1) 7.5 E (5.3-10.6)
Total All Ages 5.6 (4.3-7.2) 9.5 (7.8-11.5) 7.6 (6.5-8.7)

E Interpret with caution due to high sampling variability.
NR = not reportable due to high sampling variability.

When the percentage of individuals with a mood disorder is examined for both sexes by age, those aged 12 to 19 are significantly less likely to report a mood disorder than those in the 45 to 64 age group. When age is examined for men and women separately there is a significant difference in rates based on age for men. Significantly fewer males aged 20 to 44 report a mood disorder in comparison to males aged 45 to 64. There are no significant differences based on the available data for women. When men and women are compared to each other, significantly fewer men aged 20 to 44 report a mood disorder in comparison to women of the same age. There are no other significant differences between men and women.

Table 3: Percentage of Individuals Reporting a Mood Disorder by Income Quintile, Ages 12 and Older, 2007-2012
  Quintile 1
Lowest Income
Quintile 2 Quintile 3 Quintile 4 Quintile 5
Highest Income
Percent (%) 12.4 9.4 6.2 E 6.3 E 3.5 E
95% CI 9.2-16.5 7.1-12.3 4.2-9.1 4.2-9.3 2.2-5.3

E Interpret with caution due to high sampling variability.

When the percentage of individuals who report a mood disorder is examined by income quintile, those in the lowest quintile are significantly more likely to have a mood disorder compared to those in the third, fourth, and fifth income quintiles (these results are also found when results are age standardized, with even more distinction between the 95% confidence intervals).

Table 4: Percentage of Individuals Reporting a Mood Disorder by Education Level, Ages 12 and Older, 2007-2012
  Less Than
Secondary School
Secondary School
Graduate
Some
Post-Secondary 
Post-Secondary School Graduate
Percent (%) 9.1 10.3 E NR 6.3
95% CI 6.9-12.0 7.4-14.2 NR 5.1-7.8

E Interpret with caution due to high variability.
NR = not reportable due to high sampling variability.

When results are analyzed by education level, no significant differences are found. If results are age standardized however, in order to account for the relationship between age and illness, results do become significant. Those with less than a secondary school education are significantly more likely to report a mood disorder in comparison to people who are post-secondary graduates.

Table 5: Percentage of Individuals Reporting a Mood Disorder by Minority Status, Ages 12 and Older, 2007-2012
  White Minority
Percent (%) 7.7 4.1 E
95% CI 6.6-9.0 2.2-7.6

E Interpret with caution due to high variability.

There is no significant difference in the percentage of people who report a mood disorder based on minority status.

Table 6: Percentage of Individuals Reporting a Mood Disorder by Immigration Status, Ages 12 and Older, 2007-2012
  Born in Canada Immigrant
Percent (%) 8.1 6.1 E
95% CI 6.9-9.5 4.2-8.9

E Interpret with caution due to high variability. 

There is no difference in the percentage of people who report a mood disorder based on immigration status. 

Data Notes

  1. Data Source: Canadian Community Health Survey, [2007,2008,2009,2010,2011,2012], Share File, Ontario Ministry of Health and Long Term Care.
  2. The Canadian Community Health Survey (CCHS) collects data through participant self-report. Data collected through self-report can be biased due to inaccurate memory or because of social desirability. Social desirability happens when individuals answer questions in a manner that they think will be viewed favourably, and is more likely to occur when individuals are answering sensitive questions.
  3. Not Stated and Don’t Know responses were excluded from analysis.
  4. 95% CI = 95% confidence interval. The 95% confidence interval provides a range within which we are 95% confident that the true population proportion (%) falls. If a stated result percentage is 18% with a 95% CI of 15.0-21.0%, we can be 95% confident that the true percentage lies within the range of 15.0% to 21.0%. The wider the confidence interval, the more variability there is, and the less precise the estimate.
  5. Significant differences were determined based on non-overlapping confidence intervals.
  6. Understanding income quintiles used in this report: The Canadian Community Health Survey contains a variable that groups Windsor-Essex survey respondents into one of 10 income deciles. Each decile contains 10% of the sample population. So that the lowest or first decile contains the 10% of the population that has the lowest household income, and the highest or 10th decile contains the 10% of the sample population that has the highest household income. The calculation takes into account reported household income, low-income cut-off values, household size, and community size. For the purposes of this report, deciles were used to create quintiles for ease of analysis and interpretation (quintiles are fifths, and so each quintile contains 20% of the sample population). The lowest two deciles were combined to make the lowest quintile, the third and fourth deciles were combined to create the second lowest quintile, and so forth, with the two highest income deciles being combined to make the highest income quintile.
  7. A white ethnic background was defined as an individual who reported that their ethnicity was white. All other ethnicities were coded as minority.
  8. Immigrant was defined as someone who had ever immigrated to Canada.
  9. The geographical area of Windsor-Essex County represents the population of the entire county of Essex and includes all municipalities within the county.
  10. Age standardized statistics available upon request.