1. |
The table shows changes in smoking of the 1994/1995 household
population aged 12 and over every 2 years, at each cycle
of the National Population Health Survey. Population, age, sex, Canada and
province are based on the first survey cycle (cycle 1) in 1994/1995.
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2. |
The table excludes persons who died or who
were institutionalized after cycle 1 survey interview in 1994/1995.
Estimated number of persons who have died: 287 persons after cycle 2, 599 persons
after cycle 3, 957 persons after cycle 4, 1,279 persons
after cycle 5 and 1,640 persons after cycle 6. These
data are not all confirmed yet with the Canadian Vital Statistics Database.
Persons living in an institution are excluded because they are not asked certain
questions. Estimated number of persons who have been institutionalized: 62 persons
at cycle 2, 114 persons at cycle 3, 135 persons
at cycle 4, 161 persons at cycle 5 and 144 persons
at cycle 6. |
3. |
The table also excludes children under 12 and
non-response (missing values), that is, "not applicable", "don't know", "refusal"
and "not stated". |
4. |
No estimates for smoking are provided for 1994/1995;
what is shown instead are the changes in smoking. For estimates on smoking
in 1994/1995, please refer to Health Indicators CANSIM table 104-0027,
"Non-medical determinants of health, Health behaviours". |
5. |
Percentages are based on the population with
a specific characteristic (one category) in a given cycle as the numerator
divided by the total population in 1994/1995 having all possible
characteristics (all categories) as the denominator, excluding missing values.
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6. |
Bootstrapping techniques were used to produce
the coefficient of variation (CV) and 95% confidence intervals (CIs).
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7. |
Data with a coefficient of variation (CV) from 16.6%
to 33.3% are identified by an (E) and should be interpreted with caution.
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8. |
Data with a coefficient of variation (CV) greater
than 33.3% were suppressed (F) due to extreme sampling variability. |
9. |
Changes in smoking of the 1994/1995 population
in 1996/1997 are based on the 1996/1997 longitudinal full
data file. This file contains all panel members with a complete (full) response
in cycle 1 (1994/1995) and cycle 2 (1996/1997). Number
of respondents for this table (excluding missing values): 13,402. |
10. |
Changes in smoking of the 1994/1995 population
in 1998/1999 are based on the 1998/1999 longitudinal full
data file. This file contains all panel members with a complete (full) response
in cycle 1 (1994/1995), cycle 2 (1996/1997) and cycle 3 (1998/1999).
Number of respondents for this table (excluding missing values): 12,103.
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11. |
Changes in smoking of the 1994/1995 population
in 2000/2001 are based on the 2000/2001 longitudinal full
cycle 1 and cycle 4 subset of respondents (from 2000/2001 longitudinal
data file). This subset contains all panel members with a complete (full)
response in cycle 1 (1994/1995) and cycle 4 (2000/2001),
regardless of their response pattern in cycle 2 (1996/1997) and
cycle 3 (1998/1999). Number of respondents for this table (excluding
missing values): 11,366. |
12. |
Changes in smoking of the 1994/1995 population
in 2002/2003 are based on the 2002/2003 longitudinal full
cycle 1 and cycle 5 subset of respondents (from 2002/2003 longitudinal
data file). This subset contains all panel members with a complete (full)
response in cycle 1 (1994/1995) and cycle 5 (2002/2003),
regardless of their response pattern in cycle 2 (1996/1997), cycle 3 (1998/1999)
and cycle 4 (2000/2001). Number of respondents for this table (excluding
missing values): 10,302. |
13. |
Changes in smoking of the 1994/1995 population
in 2004/2005 are based on the 2004/2005 longitudinal full
cycle 1 and cycle 6 subset of respondents (from 2004/2005 longitudinal
data file). This subset contains all panel members with a complete (full)
response in cycle 1 (1994/1995) and cycle 6 (2004/2005),
regardless of their response pattern in cycle 2 (1996/1997), cycle 3 (1998/1999),
cycle 4 (2000/2001) and cycle 5 (2002/2003). Number of
respondents for this table (excluding missing values): 9,540. |
Note(s): |
When comparing estimates, it is important to use confidence intervals
to determine if differences between values are statistically significant.
Confidence intervals describe sampling variability and give an indication
of the precision of a given estimate. Please note that confidence intervals
and coefficient of variations are provided in the CANSIM tables. |
Source(s): |
Statistics Canada, National Population Health Survey, 1996/1997, 1998/1999, 2000/2001, 2002/2003 and 2004/2005 longitudinal
data files (CANSIM table 104-7006).
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