Statistics Canada - Government of Canada
Accessibility: General informationSkip all menus and go to content.Home - Statistics Canada logo Skip main menu and go to secondary menu. Français 1 of 5 Contact Us 2 of 5 Help 3 of 5 Search the website 4 of 5 Canada Site 5 of 5
Skip secondary menu and go to the module menu. The Daily 1 of 7
Census 2 of 7
Canadian Statistics 3 of 7 Community Profiles 4 of 7 Our Products and Services 5 of 7 Home 6 of 7
Other Links 7 of 7

Warning View the most recent version.

Archived Content

Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please "contact us" to request a format other than those available.

No module menu; go to content. Highlights Online catalogue Measured Obesity Data tables New releases in The Daily More information About the CCHS - Nutrition How to access National Population Health Survey (NPHS) data Guide to Health Statistics Previous issues

Limitations

For various reasons, 42.5% of respondents who participated in the 2004 CCHS did not have their weight and height directly measured. This level of non-response might bias estimates if these people differed systematically from those for whom measurements were obtained. A special technique was employed to reduce the possibility of such bias (see Data sources and analytical techniques).

Reasons for not measuring a respondent’s height and weight were: refusal (13.6%); measuring equipment unavailable (9.0%); too tall for interviewer to measure (7.1%); interview conducted by telephone (4.5%); interview setting a problem (3.5%); respondent’s physical condition (1.8%); and other (3.0%). Overall, men had a lower response rate than women: 54% versus 61%.

Percentage distribution of respondents, by provision of directly measured data and reason for non-response

  Total % Men % Women %
Total
100
100
100
Measured
57.5
54.4
60.6
Not measured
42.5
45.6
39.4
Refusal
13.6
13.0
14.2
Measuring equipment
9.0
8.6
9.3
Too tall for interviewer to measure
7.1
11.5
2.8
Telephone interview
4.5
4.5
4.4
Interview setting
3.5
4.2
2.8
Physical condition
1.8
1.4
2.1
Other
3.0
2.3
3.8

Men’s response rates differed significantly by age, province, and household income; women’s, by province, fruit and vegetable consumption, marital status, and household income.

Response rates to directly measured height and weight, by selected characteristics

  Men % Women %
Total
54 61
Age group
18-24
57 64
25-34
52 61
35-44
56 58
45-54
49 2 61
55-64
56 62
65-74
59 59
75+
57 60
Marital status (age 25+)
Married
54
62 1
Widowed
54
60
Separated/Divorced
55
57
Never married
53
56
Education (aged 25 to 64)
Less than secondary graduation
53 57
Secondary graduation
56 65
Some postsecondary
47 56
Postsecondary graduation
53 60
Household income
Lowest
47
70 1
Lower-middle
54
65
Middle
60 1
63
Upper-middle
57
65 1
Highest
53
58
Missing
41 2
43 2
Province
Newfoundland and Labrador
67 1
73 1
Prince Edward Island
59
72 1
Nova Scotia
65 1
69 1
New Brunswick
43 2
63
Quebec
62 1
67 1
Ontario
48 2
53 2
Manitoba
66 1
69 1
Saskatchewan
51
64
Alberta
57
62
British Columbia
53
64
Fruit/Vegetable consumption
Less than 2 times a day
54
60
2 to less than 5 times a day
54
59
5 or more times a day
56
63 1
Leisure time
Active
57 59
Moderately active
56 61
Sedentary
53 61
High blood pressure
Yes
56 60
No
54 61
Diabetes
Yes
50 63
No
55 61
Heart disease
Yes
53 58
No
55 61
1. Significantly above overall rate
2. Significantly below overall rate
Data source: 2004 Canadian Community Health Survey: Nutrition

Although body mass index (BMI) classifications using data from the 1978/79 Canada Health Survey (CHS), the 1986 to 1992 Canadian Heart Health Surveys (CHHS), the 1999-2002 National Health and Nutrition Examination Survey (NHANES) and the 2004 Canadian Community Health Survey (CCHS) were based on directly measured height and weight, the surveys did not have the same collection methods. For example, for the 2004 CCHS, field interviewers used portable electronic scales to weigh respondents in their homes; for the 1999-2002 NHANES, health professionals measured respondents in mobile laboratories.

BMI has a number of limitations. It does not measure the distribution of body fat, which is important because excess fat in the abdominal areas is associated with increased health risks.5 BMI may misclassify young adults who have not reached full growth, people who are naturally very lean or very muscular, people who are very tall or very short, and certain ethnic or racial groups.13

BMI should not calculated for pregnant women.5 However, pregnancy status was not asked in the 1978/79 CHS, the 1985 and 1990 Health Promotion Surveys, and the 1986 to 1992 Canada Heart Health Surveys.

In the 2004 CCHS, variables other than height and weight were self-reported. The degree to which these variables accurately reflect a person’s health status/characteristics (fruit and vegetable consumption, presence of a chronic condition) is not known.

Respondents were asked about their leisure-time physical activities over the past three months. The results may have been affected by recall problems. Moreover, because physical activity at school and work were excluded, leisure time may not reflect overall physical activity.

The questions on fruit and vegetable consumption pertain to the number of times a day fruit and vegetables are consumed, not the amounts consumed. Because portion size is not specified, compliance with daily intake recommendations, such as the Canada Food Guide, cannot be assessed.

Rather than weight itself, factors associated with weight such as physical activity, body composition, visceral adiposity, physical fitness or dietary intake might be responsible for some or all of the associations of weight with high blood pressure, diabetes and heart disease.27 As well, some diseases cause weight loss, while others are associated with weight gain. This analysis does not take into account recent weight gain/loss, which may be independently associated with poor health.

Type 1, type 2 and gestational diabetes cannot be differentiated in this analysis. Since the risk factors for the various forms of the disease are not the same, the strength of the relationship between BMI and the prevalence of “adult onset” diabetes (type 2) may have been diluted.

Because the CCHS is cross-sectional, no causality between obesity and a health behaviour or outcome can be inferred.


Home | Search | Contact Us | Français Top of page
Date modified: 2005-07-06 Important Notices