Sedentary behaviours among adults across Canada.
Herman, Katya M. ; Saunders, Travis J.
Sedentary behaviours among adults across Canada.
Sedentary behaviour (SB) refers to any waking behaviour with a low
energy expenditure (<1.5 metabolic equivalents of task; METs) while
in a sitting or reclining posture. (1) SB is a distinct construct,
associated with negative health outcomes and mortality independently
from the health benefits of physical activity (PA). (2-4) Screen time
(ST), including TV viewing, video game playing and leisure time computer
use, is a common metric of SB; other behaviours include time spent
sitting, reading or in passive transportation. Rather than being
detrimental to health, some behaviours such as reading or other
productive or mentally-active SBs have shown no association or positive
associations with health outcomes. (5-7) Currently unknown is how much
time Canadians spend engaging in different SB modalities, or how these
behaviours differ by geographic region and sociodemographic and health
characteristics.
Data from the 2007 Canadian Community Health Survey (CCHS) showed
that 29% of Canadian adults aged 20-75+ watched >15 hours/week (>2
hours/day) TV, and 29% spent >5 hours/week using a computer. (8)
Socio-demographic correlates of TV and computer time were noted;
however, associations with health characteristics and behaviours were
not assessed. Further, total ST, non-screen SBs, and total SB time were
not described. Also from the 2007 data, significant associations were
reported among both TV viewing and computer use and obesity, but no
association with reading time, corroborating that SB modality is
relevant. (9) A recent systematic review described socio-demographic and
health correlates of SB among adults, highlighting the specificity of
behaviours and population-dependent differences. (10)
The 2011/2012 CCHS is the most recent cycle to include the SB
module for all provinces and territories, permitting a comprehensive
assessment of how these behaviours vary across Canada, and across
specific characteristics of the Canadian population. Our objectives were
to provide an updated characterization of SB among adults across Canada,
a) including measures of total ST, reading time, and total SB time, in
addition to TV/video viewing and computer use; and b) assessing a more
comprehensive list of potential correlates spanning sociodemographic,
health and health behaviour variables.
METHODS
Sample
The sample was from the CCHS 2011/2012 public use microdata file.
In-depth methodology is published elsewhere. (11) Briefly, the CCHS is a
cross-sectional survey conducted by Statistics Canada, collecting
information on health status, health determinants and health system
utilization for the Canadian population. Using computer-assisted
interviews (in-person, telephone), the CCHS targets persons >12 years
of age living in private dwellings in the 10 provinces and 3
territories, covering 98% of the population; individuals living on
Indian Reserves or Crown Lands, institutional residents, full-time
Canadian Forces members, and residents of certain remote regions are
excluded. The combined 2011/2012 response rate was 68.4% at the Canadian
population level: of 183,721 households selected, 144,000 responded (78%
household-level response rate), and of 144,000 individuals (one per
household) selected, 125,645 valid interviews were conducted (87%
person-level response rate). Informed consent was obtained by Statistics
Canada, in accordance with Canadian federal legislative requirements.
The current analytic sample included 92,918 respondents (50% female)
aged 20-75+ years with complete data for all study variables,
representing >22 million Canadians.
Measures
Sedentary Behaviours
The questions used to determine time spent in each SB modality, and
response categories available to participants, are listed in Table 1.
TV/Video Viewing Time and Total Screen Time were dichotomized at [less
than or equal to] 2 hours/day versus >2 hours/day as is common in the
literature. (3) In the absence of consistent norms in the literature,
Computer Time ([less than or equal to] 5 hours/week versus >5
hours/week), Video Game Playing Time (<1 hour/week versus [greater
than or equal to] 1 hour/week), Reading Time ([less than or equal to] 5
hours/week versus >5 hours/week), and Total SB (<5 hours/day
versus [greater than or equal to] 5 hours/day) were reduced to
dichotomous variables based on their distribution across categories,
striving for an approximately equal proportion of respondents above and
below the cut-offs. For video game playing, as the vast majority of
respondents outside of the youngest age group reported <2 hours/week,
the only feasible option for meaningful comparisons was to dichotomize
at <1 versus [greater than or equal to] 1 hour per week.
Socio-demographic, Health and Health Behaviour Correlates
Socio-demographic characteristics included Age; Marital status
(married, common law, widowed/separated/divorced, single/never married);
Education (<high school, high school graduate, some postsecondary,
post-secondary graduate); Occupation
(management/health/education/art/culture,
business/finance/administration, sales/service,
trades/transportation/equipment operating, primary
industries/processing/manufacturing); Income (<$40K, $40-80K,
[greater than or equal to] $80K); Province of residence; Immigrant
status (non- immigrant, 0-9 years, [greater than or equal to] 10 years);
and Race/Ethnicity (white, visible minority). Highest household
education described respondents aged 20-24, while highest respondent
education described those aged [greater than or equal to] 25.
Occupational group was included only for respondents aged 25-54 (n =
34,195 unweighted).
BMI was calculated as weight (kg) per height ([m.sup.2]) from
self-reported height and weight, and participant weight status was
classified as underweight, normal weight, overweight or obese. (12)
Perceived Weight Status was ascertained by asking respondents "Do
you consider yourself: (overweight, underweight or just about
right)?".
Physical Activity (PA) was assessed using an adaptation of the
Minnesota Leisure Time Physical Activity Questionnaire. (13) Respondents
were asked about their participation in 21 specified activities, plus up
to 3 additional volunteered activities, indicating participation
frequency in the past 3 months and average session duration. An estimate
of average daily energy expended during leisure time PA is calculated,
given in kilocalories per kilogram per day (KKD). The CCHS categorizes
respondents as active (>3.0 KKD), moderately active (1.5-2.9 KKD) or
inactive (<1.5 KKD), whereby 3.0 KKD reflects, on average, the
equivalent of 60 minutes/day of moderate-intensity activity. (14)
Smoking Status was assessed by asking respondents "At the
present time do you smoke cigarettes daily, occasionally or not at
all?" and classified into daily, occasional or never smokers.
Fruit and Vegetable Consumption: As an indicator of overall healthy
nutrition, fruit and vegetable consumption was assessed via a series of
food frequency questions. The CCHS pre-derives and categorizes total
consumption as <5/day, 5-10/day, and >10/day.
Analysis
Descriptive statistics were tabulated and weighted prevalences
calculated, estimating the proportion of Canadian adults reporting high
levels of SBs, according to socio-demographic, health and health
behaviour categories. Odds ratios (95% CIs) for high SB were determined
using multivariable logistic regression, including in the models all
significant correlates from the bivariate analysis. Analyses for
occupational category were restricted to respondents aged 24-54 (n =
34,195);all other analyses included all respondents ages [greater than
or equal to] 20 while excluding occupational category from the model.
Data were weighted to calculate Canadian population summary
statistics. To produce more reasonable 95% CIs taking into account the
unequal probabilities of selection, the provided weights were re-scaled
to a mean weight of one (1) as per Statistics Canada guidelines, (11)
using in the analysis a weight equal to the original weight divided by
the mean of the original weights for the sampled units (n = 92,918; n =
34,195 for occupational categories) contributing to the analysis.
Analyses were completed using IBM SPSS Statistics v. 21.0 (IBM,
Armonk, NY, USA).
RESULTS
Sample descriptive characteristics are shown in Table 2. Among
Canadian adults, 61% of males and 45% of females were classified as
overweight/obese by self-reported height and weight, and 1 in 4 adults
was classified as "active". With respect to SB modalities
(Figure 1), 44% of adults reported >5 hours/week leisure computer
use, 31% reported >2 hours/day TV/video viewing, 18% reported
[greater than or equal to] 1 hour/week video game playing, and 40%
reported >5 hours/week reading. Males were significantly more likely
than females to report high computer use and video game playing time,
while females were more likely than males to report high reading time;
no gender difference was present for TV viewing time. Over 60% of adults
reported >2 hours/day total ST, and 28% reported [greater than or
equal to] 5 hours/day total SB time.
Socio-demographic correlates of SB
In both bivariate and multivariate analyses (Tables 3 and 4), the
strongest correlate associated with all SBs was age (Figure 1). For
computer use, a clear diminishing trend by age was seen whereby 3.5
times more adults aged 20-24 used computers >5 hours/week compared to
those aged 75+. Higher computer use was also associated with male
gender, single/never married, higher education,
management/health/education/art/culture occupations, higher income, and
recent immigrant and visible minority statuses. Alberta and British
Columbia residents had the highest provincial prevalence of higher
computer use, and those residing in Quebec the lowest (note: sample age
distribution was similar across provinces). Higher video game playing
time was also substantially more common among younger adults, as well as
among males, single/ never married or common law,
business/finance/administration occupations, non-immigrants and Manitoba
and Alberta residents.
By contrast, TV viewing >2 hours/day was most likely among older
adults (e.g., ages 75+ had 5 times greater odds of reporting >2
hours/day vs. ages 20-24), and for single/never married or common law,
less educated, non-white-collar occupation, lower income and
non-immigrants. In bivariate analyses, females reported more TV viewing
than males, whites more than visible minorities, and the highest TV time
was among Nova Scotia, New Brunswick and Territory residents and lowest
among Alberta and British Columbia residents; however, these differences
did not hold up in multivariate analysis. Higher reading time was also
most likely among older adults (e.g., ages 75+ had 6 times greater odds
of reporting >5 hours/week vs. ages 20-24), and for females,
single/never married, higher educated, recent immigrants, and Prince
Edward Island, Ontario, British Columbia and Territory residents, and
least likely for blue-collar occupation and Quebec residents.
Health and health behaviour correlates of SB
BMI was most strongly associated with TV time. Compared to normal
weight individuals, the odds of reporting >2 hours/day TV viewing
were significantly lower in underweight individuals (OR: 0.86, 95% CI:
0.77-0.96) and significantly higher in individuals with overweight (OR:
1.15, 95% CI: 1.10-1.19) and obesity (OR: 1.30, 95% CI: 1.23-1.36). The
odds of accumulating >1 hour/week of video game time were also higher
among those with overweight (OR: 1.10, 95% CI: 1.04-1.15) and obesity
(OR: 1.25, 95% CI: 1.18-1.35), while the odds of accumulating >5
hours/week of reading were slightly lower among those with overweight
(OR: 0.94, 95% CI: 0.90-0.97), but not obesity (OR: 0.97, 95% CI:
0.92-1.02). Examining weight perceptions, individuals perceiving
themselves as overweight were more likely to report higher levels of all
behaviours, while those who perceived themselves as underweight were
more likely to report higher levels of video game playing and TV viewing
compared to those perceiving their weight as about right.
Compared to never-smokers, daily smokers were more likely to report
higher SBs, with the exception of lower computer use in multivariate
analysis. Adults consuming <5 servings/day of fruits and vegetables
were most likely to report higher computer use, video game playing and
TV viewing, while those consuming >10 servings/day were most likely
to report higher reading time. More active adults were more likely to
report higher reading time, while inactive adults were most likely to
report higher TV time. Total SB time was highest among inactive adults.
DISCUSSION
We comprehensively examined self-reported SB in a large
representative population sample of Canadian adults, including a broad
list of socio-demographic, health and health behaviour correlates. About
44% of Canadians report >5 hours/week computer use, over 30% report
>2 hours/day TV viewing, and almost 30% report [greater than or equal
to] 5 hours/day of total SB time. However, 40% of Canadians report >5
hours/week of reading time, a SB modality inversely associated with
overweight in the current study. These findings highlight the importance
of measuring a range of SB modalities, in addition to total SB time.
(15)
Our findings suggest that computer use has increased substantially
relative to the 2007 CCHS survey, when only 29% of Canadian adults
reported >5 hours/week computer use, compared to 44% five years
later. (8) In contrast, TV time has remained relatively stable. (8)
Comparison to a second study using the 2007 CCHS data, (9) though based
on a different age range, suggests that increases in computer time are
similar for men and women, a steady 6%-7% gap persisting of more men
than women reporting high computer use. Only the latter study reported
on reading time, whereby 29% of men and 38% of women reported >5
hours/week reading; however, comparison to the current results (33% M,
46% F) is difficult, as the earlier study was restricted to ages 20-64,
while our study includes older adults with twice the prevalence of high
reading time compared to younger adults.
Our results for total SB time appear lower than those using
objective accelerometer data which suggest that Canadian adults average
>9 hours/day (70% of waking hours) sedentary. (16) In addition to
inherent biases of social desirability and recall, the CCHS does not
focus on sitting per se, but on common behaviours done while sitting.
Self-reported behaviours provide context regarding modality (TV,
computer, reading, etc.) that accelerometer-based SB time measures
cannot provide. (15) This is important, given our findings that the
association with both sociodemographic correlates and health outcomes
varies according to modality.
SB and socio-demographic characteristics
In the earlier, less comprehensive analysis using the 2007 CCHS
data, (8) the likelihood of being a frequent TV viewer increased with
age, never married, lower education, lower income, and unemployed
status. The likelihood of frequent computer use was associated with male
gender, younger age, never married, and higher education, but not with
household income, immigrant status or employment status. Our update uses
more recent data, explores additional SBs in addition to TV and computer
time, and identifies additional correlates not previously identified in
the Canadian context.
SBs in this analysis were independently associated with numerous
socio-demographic characteristics, most strongly age, but also gender,
marital status, education, income, occupation category, immigrant
status, race/ethnicity and province of residence. Correlates of high TV
time identified in previous literature include male gender, (17)
employment status, (18-20) lower education, (18-21) and living in
regional areas or outside of capital cities (18,20) or in low
walkability neighbourhoods.19 Male gender, (17,22) and age and single
marital status (22) have previously been strongly associated with
computer time, similar to current results. To our knowledge, ours is the
first study to investigate socio-demographic correlates of reading time
in adults, showing that age, gender, education, occupation type, income,
immigrant status and race/ethnicity are not necessarily associated in
the same manner or direction as with computer or TV time.
SB and health and health behaviour outcomes
In the current study, weight status was positively associated with
both TV viewing and video game playing time. Previously, the 2007 CCHS
data showed that obesity prevalence was substantially lower in those who
watched TV [greater than or equal to] 5 hours/week compared to those who
watched >21 hours/week. (9) Elsewhere, TV viewing has frequently been
strongly associated with body fatness, weight status and odds of
developing obesity over time, independent of (5.6,17,20,23- 26)
association between video game playing time and BMI had also been
reported. (27) In limited prior research evaluating computer time, some
studies corroborate current results showing no relationship with weight
status, (5,6,9) while others report a positive association. (17,28)
Evidence for reading time is even more limited, but similar to our
findings has consistently shown that higher reading time is not
associated with increased risk of overweight or obesity. (5,6,9)
In our study, smokers were more likely to report higher TV viewing,
video game playing and reading time. Prior research corroborates these
results for TV viewing, (17,24) while likewise also showing no
association with computer time. (17) Overall sitting time has also
previously been associated with smoking, (21) though we found no
association for total SB time in our study.
Our results show all screen-based behaviours to be inversely
associated with fruit and vegetable consumption, while higher reading
time was positively associated with fruit and vegetable consumption
(perhaps explaining no association with total SB). Past literature has
focused primarily on TV time or total ST, demonstrating clear evidence
for an association between TV time and unhealthful dietary patterns,
including lower fruit and vegetable consumption. (9,24,29,30) A recent
study using objectively measured total SB found no association with
fruit and vegetable intake or overall diet quality, (31) suggesting the
importance of specific SB modality when examining links to
health-related dietary elements.
Finally, current results indicate TV time is most strongly
inversely associated with physical activity level, while PA was
positively associated with higher reading time. Past research has also
shown that passive TV and sitting time were associated with lower
moderate-to-vigorous physical activity (MVPA), (5,9,19,20) while
mentally active computer use and reading were associated with lower odds
of low MVPA. (5) A recent systematic review concluded that all SB
modalities were moderately to weakly inversely associated with lower PA
levels, with some evidence that SB displaces light intensity PA;
however, TV viewing and total SB time were most commonly studied, with
total sitting time, ST and occupational SB represented to a lesser
degree (and reading time in our study positively associated with PA--not
mentioned). (32)
Overall, these results highlight the fact that SB modalities differ
both in their demographic correlates, as well as their associations with
health behaviours and health outcomes. Reading was generally associated
with positive health behaviours and outcomes, while the opposite was
true for screen-based SBs. In the future, both practitioners and public
health interventions should clearly distinguish between beneficial and
deleterious SBs.
Strengths and limitations
Using a very large nationally representative population sample,
this analysis gives the first comprehensive profile of SB among Canadian
adults, including a broad range of socio-demographic, health and health
behaviour correlates. The cross-sectional data limit causal inference
between SB measures and the correlates examined, and reverse or
bi-directional relationships may exist. Further, the reliance on
self-reported data may lead to underestimates of SB and body weight, and
overestimates of PA, height and fruit/vegetable consumption due to
social desirability and recall biases. Future research should explore
trends over time in the evolving nature of sedentary behaviours.
CONCLUSION
Over 30% of Canadian adults report >2 hours/day TV viewing, 44%
report >5 hours/week computer use, and 40% report >5 hours/week
reading time; less than 20% report >1 hour/week video game playing.
Computer use has increased substantially compared to previously
published results using same-survey data just 5 years older, while TV
time and reading time have remained more stable. In general,
socio-demographic, health and health behaviour correlates differ across
SB modalities, though the strongest correlate across all SBs was age;
others include gender, marital status, education, occupation type,
income and immigrant status, as well as BMI, weight perceptions,
smoking, diet and PA. Public health interventions targeting SB should be
tailored both to the specific modality targeted and to the needs of the
specific population segment of interest.
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Received: March 11, 2016
Accepted: July 12, 2016
Katya M. Herman, PhD, [1] Travis J. Saunders, PhD [2]
Author Affiliations
[1.] Faculty of Kinesiology and Health Studies, University of
Regina, Regina, SK
[2.] Department of Applied Human Sciences, University of Prince
Edward Island, Charlottetown, PE
Correspondence: Katya M. Herman, PhD, Faculty of Kinesiology and
Health Studies, University of Regina, 3737 Wascana Parkway, Regina, SK
S4S 0A2, Tel: 306-337- 3187, E-mail: Katya.Herman@uregina.ca
Conflict of Interest: None to declare.
Table 1. Questions used to determine time spent in each SB
modality, and response categories available to participants,
Canadian Community Health Survey 2011-2012
Sedentary Question Response categories
behaviour
TV/video "In a typical week in the past 0-1, 1-2, 3-5, 6-10,
viewing time 3 months, how much time did 11-14, 15-20, 22-25,
you usually spend watching 26-30, >30
television or videos?" hours/week
Computer time "In a typical week in the past 0-1, 1-2, 3-5, 6-10,
3 months, how much time did 11-14, 15-20, >20
you usually spend on a hours/week
computer, including playing
computer games and using the
Internet? (not including time
spent at work or at school)?"
Video game "In a typical week in the past 0-1, 1-2, 3-5, 6-10,
playing time 3 months, how much time did 11-14, 15-20, >20
you usually spend playing hours/week
video games, such as XBOX,
Nintendo and Playstation?"
Reading time "In a typical week in the past 0-1, 1-2, 3-5, 6-10,
3 months, how much time did 11-14, 15-20, >20
you usually spend reading, not hours/week
counting at work or at school?
Include books, magazines,
newspapers, homework."
Total screen Pre-calculated and categorized <5, 5-9, 10-14,
time in the CCHS as the sum of all 15-19, 20-24, 25-29,
of TV/Video, Computer, and 30-34, 35-39, 40-44,
Video Game time. >45 hours/week
Total sedentary Pre-calculated and categorized <5, 5-9, 10-14,
behaviour in the CCHS as the sum of all 15-19, 20-24, 25-29,
of TV/Video, Computer, Video 30-34, 35-39, 40-44,
Game and Reading time. >45 hours/week
Table 2. Descriptive characteristics of the study sample,
weighted to be representative of the Canadian
population aged 20-75+
Characteristic Total Males Females
population (%) (%)
(%)
Age (years)
20-24 8.5 8.6 8.4
25-34 17.9 18.9 16.9
35-44 18.6 18.9 18.2
45-54 20.1 20.2 20.0
55-64 18.0 18.1 18.0
65-74 10.6 10.0 11.3
75+ 6.3 5.4 7.3
Marital status
Married 53.1 55.0 51.2
Common law 12.3 13.0 11.6
Widowed/separated/divorced 13.3 8.8 17.8
Single/never married 21.3 23.2 19.4
Education *
<Secondary 12.2 12.2 12.3
Secondary graduate 15.7 15.4 16.0
Some post-secondary 5.0 5.0 4.9
Post-secondary graduate 67.1 67.4 66.8
Occupation (age 25-54 only) ([dagger])
Management/health/education/ 39.9 35.6 45.0
art/culture
Business/finance/administration 18.9 11.9 27.1
Sales/service 19.0 16.3 22.2
Trades/transport/equipment 15.4 26.7 2.1
operation
Primary industry/processing/ 6.8 9.5 3.5
manufacturing
Annual income
<$40K 24.6 20.4 28.7
$40-80K 33.8 34.2 33.4
[greater than or equal to] $80K 41.6 45.3 37.9
Province
Newfoundland and Labrador 1.5 1.5 1.6
Prince Edward Island 0.4 0.4 0.4
Nova Scotia 2.9 2.8 3.0
New Brunswick 2.3 2.2 2.3
Quebec 23.8 23.7 23.9
Ontario 38.4 38.2 38.5
Manitoba 3.3 3.3 3.3
Saskatchewan 2.8 2.8 2.7
Alberta 10.8 11.2 10.4
British Columbia 13.6 13.6 13.5
Territories 0.3 0.3 0.3
Immigrant status
Non-immigrant 75.9 75.6 76.2
Recent immigrant (0-9 years) 6.3 6.5 6.1
Established immigrant (>10 years) 17.8 17.9 17.7
Race/ethnicity
White 79.2 78.9 79.4
Visible minority 20.8 21.1 20.6
BMI
Underweight 2.3 1.0 3.6
Normal weight 44.4 37.9 51.0
Overweight 34.5 41.5 27.5
Obese 18.8 19.6 18.0
Opinion of own weight
Underweight 3.8 4.9 2.6
About right 54.0 56.2 51.8
Overweight 42.2 38.9 45.5
Smoking status
Daily 16.8 18.9 14.7
Occasionally 4.9 5.5 4.4
Never 78.3 75.7 80.9
Fruits and vegetables consumption
<5/day 60.0 67.4 52.6
5-10/day 36.5 29.8 43.2
>10/day 3.5 2.8 4.2
Physical
Active 26.5 28.5 24.4
Moderately 26.1 25.6 26.6
Inactive 47.5 45.9 49.0
Note: Values represent proportions (%) of Canadians with
indicated characteristics.
* Highest household education used for respondents aged 20-24;
highest respondent education used for ages [greater than or equal
to] 25.
([double dagger]) Occupational group included for respondents
aged 25-54.
Table 3. Proportions (%) of Canadian adults aged 20-75+ who
report high sedentary behaviour time, according to demographic,
health and health behaviour characteristics
Characteristic Computer Video games
>5 hours/week [greater than
or equal to] 1
hour/week
Gender and age--See Figure 1
Marital status
Married 40.9 13.3
Common law 42.5 24.4
Widowed/separated/divorced 32.9 7.8
Single/never married 60.1 31.5
Education *
<Secondary 23.1 11.5
Secondary graduate 38.3 17.1
Some post-secondary 45.3 20.5
Post-secondary graduate 49.2 18.9
Occupation (age 25-54 ([dagger]))
Management/health/education/ 50.1 20.7
art/culture
Business/finance/administration 44.7 20.1
Sales/service 44.8 21.4
Trades/transport/equipment 38.0 27.3
operation
Primary industry/processing/ 39.2 21.1
manufacturing
Annual income
<$40K 39.2 14.6
$40-80K 44.6 17.8
[greater than or equal to] $80K 46.6 19.6
Province
Newfoundland and Labrador 39.6 16.1
Prince Edward Island 43.5 15.5
Nova Scotia 42.6 16.3
New Brunswick 41.3 17.5
Quebec 36.2 15.9
Ontario 46.1 18.0
Manitoba 41.4 20.6
Saskatchewan 43.2 19.5
Alberta 48.1 20.9
British Columbia 51.3 17.6
Territories 45.2 22.3
Immigrant status
Non-immigrant 42.8 19.2
Recent immigrant (0-9 years) 64.3 15.9
Established immigrant (>10 years) 42.4 12.3
Race/ethnicity
White 41.9 17.6
Visible minority 52.5 18.4
BMI
Underweight 48.4 17.7
Normal weight 44.3 17.4
Overweight 43.1 17.5
Obese 44.9 19.3
Opinion of own weight
Underweight 45.7 29.1
About right 46.9 17.5
Overweight 42.6 17.2
Smoking status
Daily 41.6 22.2
Occasionally 51.4 25.0
Never 44.2 16.4
Fruits and vegetables consumption
<5/day 45.2 19.1
5-10/day 42.7 15.7
>10/day 40.1 15.8
Physical activity
Active ([greater than or 46.2 20.3
equal to] 3 KKD)
Moderately active (1.5-2.9 KKD) 44.9 17.5
Inactive (<1.5 KKD) 42.5 16.5
Characteristic TV/video Screen time
>2 hours/day >2 hours/day
Gender and age--See Figure 1
Marital status
Married 30.5 59.1
Common law 31.0 60.6
Widowed/separated/divorced 41.6 62.7
Single/never married 27.0 68.5
Education *
<Secondary 50.9 64.0
Secondary graduate 38.1 64.8
Some post-secondary 36.4 67.2
Post-secondary graduate 25.7 60.2
Occupation (age 25-54 ([dagger]))
Management/health/education/ 16.9 53.8
art/culture
Business/finance/administration 21.0 55.3
Sales/service 25.7 57.3
Trades/transport/equipment 27.0 57.5
operation
Primary industry/processing/ 27.4 55.6
manufacturing
Annual income
<$40K 42.3 66.6
$40-80K 32.6 63.0
[greater than or equal to] $80K 23.6 57.9
Province
Newfoundland and Labrador 33.3 62.1
Prince Edward Island 31.8 62.1
Nova Scotia 36.9 66.4
New Brunswick 36.1 63.2
Quebec 33.1 58.2
Ontario 30.8 62.8
Manitoba 31.5 60.1
Saskatchewan 31.4 61.4
Alberta 29.2 62.8
British Columbia 28.5 63.4
Territories 34.3 63.1
Immigrant status
Non-immigrant 33.0 62.6
Recent immigrant (0-9 years) 17.0 60.7
Established immigrant (>10 years) 29.1 58.6
Race/ethnicity
White 33.0 61.8
Visible minority 24.9 61.6
BMI
Underweight 25.7 61.4
Normal weight 26.8 58.3
Overweight 33.3 62.7
Obese 38.7 68.4
Opinion of own weight
Underweight 33.4 67.1
About right 27.6 57.7
Overweight 35.7 66.5
Smoking status
Daily 39.4 67.6
Occasionally 25.3 61.8
Never 29.9 60.5
Fruits and vegetables consumption
<5/day 34.3 64.8
5-10/day 27.0 57.7
>10/day 24.6 52.9
Physical activity
Active ([greater than or 23.6 57.6
equal to] 3 KKD)
Moderately active (1.5-2.9 KKD) 29.3 61.0
Inactive (<1.5 KKD) 36.6 64.5
Characteristic Reading Total sedentary
>5 hours/week behaviour
[greater than
or equal to] 5
hours/day
Gender and age--See Figure 1
Marital status
Married 41.0 24.2
Common law 30.8 23.9
Widowed/separated/divorced 49.1 33.6
Single/never married 35.6 35.3
Education *
<Secondary 32.1 32.3
Secondary graduate 38.5 29.9
Some post-secondary 41.1 34.6
Post-secondary graduate 41.2 25.9
Occupation (age 25-54 ([dagger]))
Management/health/education/ 33.2 17.9
art/culture
Business/finance/administration 35.5 18.1
Sales/service 31.3 20.9
Trades/transport/equipment 20.4 17.6
operation
Primary industry/processing/ 22.0 17.9
manufacturing
Annual income
<$40K 41.8 36.5
$40-80K 40.1 28.9
[greater than or equal to] $80K 38.0 21.6
Province
Newfoundland and Labrador 35.5 26.7
Prince Edward Island 44.4 25.9
Nova Scotia 41.5 31.8
New Brunswick 38.3 29.2
Quebec 32.8 23.3
Ontario 42.9 29.7
Manitoba 40.6 26.6
Saskatchewan 38.2 26.4
Alberta 37.0 27.6
British Columbia 45.0 29.8
Territories 37.7 30.6
Immigrant status
Non-immigrant 39.5 27.9
Recent immigrant (0-9 years) 36.9 28.8
Established immigrant (>10 years) 41.4 26.7
Race/ethnicity
White 41.0 27.7
Visible minority 34.6 28.0
BMI
Underweight 40.0 30.2
Normal weight 39.9 25.5
Overweight 39.2 27.7
Obese 40.0 33.0
Opinion of own weight
Underweight 36.5 36.0
About right 37.7 24.5
Overweight 42.5 31.2
Smoking status
Daily 34.2 33.3
Occasionally 37.9 26.7
Never 41.0 26.7
Fruits and vegetables consumption
<5/day 36.5 29.7
5-10/day 44.4 24.8
>10/day 45.0 25.2
Physical activity
Active ([greater than or 42.2 23.9
equal to] 3 KKD)
Moderately active (1.5-2.9 KKD) 42.2 26.6
Inactive (<1.5 KKD) 36.9 30.6
* Highest household education for respondents aged 20-24; highest
respondent education for ages >25.
([dagger]) Occupational group included for respondents aged
25-54.
([double dagger]) KKD = kilocalories per kilogram per day.
Table 4. Multivariable logistic regression: Odds of reporting
high sedentary behaviour time among Canadian adults aged 20-75+
Computer
>5 hours/week
Gender
Male 1.00
Female 0.78 (0.75, 0.80)#
Age (years)
20-24 1.00
25-34 0.69 (0.65, 0.73)#
35-44 0.48 (0.45, 0.51)#
45-54 0.37 (0.34, 0.39)#
55-64 0.38 (0.35, 0.40)#
65-74 0.38 (0.35, 0.41)#
75+ 0.21 (0.19, 0.23)#
Marital status
Married 1.00
Common law 1.03 (0.98, 1.08)
Widowed/separated/divorced 1.02 (0.98, 1.07)
Single/never married 1.52 (1.46, 1.59)#
Education *
<Secondary 0.43 (0.41, 0.46)#
Secondary graduate 0.69 (0.66, 0.71)#
Some post-secondary 0.83 (0.78, 0.89)#
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 0.87 (0.81, 0.92)#
Sales/service 0.80 (0.75, 0.85)#
Trades/transport/equipment operation 0.52 (0.48, 0.56)#
Primary industry/processing/ 0.62 (0.56, 0.68)#
manufacturing
Annual income
<$40K 0.92 (0.89, 0.96)#
$40-80K 1.02 (0.99, 1.05)
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 1.24 (1.11, 1.39)#
Prince Edward Island 1.43 (1.16, 1.76)#
Nova Scotia 1.35 (1.24, 1.47)#
New Brunswick 1.35 (1.23, 1.49)#
Quebec 1.00
Ontario 1.42 (1.37, 1.48)#
Manitoba 1.19 (1.09, 1.29)#
Saskatchewan 1.32 (1.21, 1.44)#
Alberta 1.48 (1.41, 1.56)#
British Columbia 1.78 (1.70, 1.87)#
Territories 1.31 (1.01, 1.70)#
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 1.72 (1.61, 1.83)#
Established immigrant ([greater 1.03 (0.99, 1.07)
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 1.11 (1.06, 1.16)#
BMI
Underweight 1.08 (0.98, 1.19)
Normal weight 1.00
Overweight 0.95 (0.92, 0.99)
Obese 1.02 (0.97, 1.07)
Opinion of own weight
Underweight 1.00 (0.93, 1.08)
About right 1.00
Overweight 1.34 (1.29, 1.39)#
Smoking status
Daily 0.94 (0.90, 0.98)#
Occasionally 1.02 (0.95, 1.08)
Never 1.00
Fruits and vegetables consumption
<5/day 1.25 (1.16, 1.35)#
5-10/day 1.17 (1.08, 1.26)#
>10/day 1.00
Physical activity
Active 1.00
Moderately active 1.05 (1.01, 1.09)#
Inactive 1.02 (0.98, 1.05)
Video games
[greater than or equal to]
1 hour/week
Gender
Male 1.00
Female 0.41 (0.40, 0.43)#
Age (years)
20-24 1.00
25-34 0.64 (0.61, 0.68)#
35-44 0.36 (0.34, 0.39)#
45-54 0.16 (0.14, 0.17)#
55-64 0.10 (0.09, 0.10)#
65-74 0.08 (0.07, 0.09)#
75+ 0.06 (0.05, 0.07)#
Marital status
Married 1.00
Common law 1.20 (1.14, 1.28)#
Widowed/separated/divorced 0.86 (0.79, 0.93)#
Single/never married 1.18 (1.11, 1.24)#
Education *
<Secondary 0.94 (0.88, 1.01)
Secondary graduate 0.99 (0.93, 1.04)
Some post-secondary 0.96 (0.89, 1.05)
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 1.13 (1.04, 1.22)#
Sales/service 1.02 (0.94, 1.11)
Trades/transport/equipment operation 0.87 (0.80, 0.95)#
Primary industry/processing/ 0.77 (0.69, 0.87)#
manufacturing
Annual income
<$40K 0.99 (0.94, 1.05)
$40-80K 1.04 (0.99, 1.08)
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 1.03 (0.88, 1.20)
Prince Edward Island 0.97 (0.73, 1.31)
Nova Scotia 1.03 (0.91, 1.16)
New Brunswick 1.12 (0.99, 1.28)
Quebec 1.00
Ontario 1.18 (1.13, 1.25)#
Manitoba 1.33 (1.20, 1.48)#
Saskatchewan 1.22 (1.09, 1.37)#
Alberta 1.26 (1.19, 1.36)#
British Columbia 1.21 (1.13, 1.29)#
Territories 1.24 (0.89, 1.70)
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 0.51 (0.46, 0.55)#
Established immigrant ([greater 0.83 (0.78, 0.88)#
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 0.93 (0.88, 0.99)#
BMI
Underweight 0.89 (0.79, 1.02)
Normal weight 1.00
Overweight 1.10 (1.04, 1.15)#
Obese 1.25 (1.18, 1.35)#
Opinion of own weight
Underweight 1.56 (1.42, 1.70)#
About right 1.00
Overweight 1.23 (1.17, 1.29)#
Smoking status
Daily 1.17 (1.10, 1.22)#
Occasionally 0.99 (0.92, 1.07)
Never 1.00
Fruits and vegetables consumption
<5/day 1.29 (1.16, 1.44)#
5-10/day 1.20 (1.08, 1.34)#
>10/day 1.00
Physical activity
Active 1.00
Moderately active 1.00 (0.95, 1.05)
Inactive 0.98 (0.94, 1.03)
TV/video
>2 hours/day
Gender
Male 1.00
Female 0.98 (0.95, 1.01)
Age (years)
20-24 1.00
25-34 1.14 (1.06, 1.22)#
35-44 1.18 (1.09, 1.27)#
45-54 1.68 (1.56, 1.81)#
55-64 2.66 (2.47, 2.87)#
65-74 4.12 (3.80, 4.48)#
75+ 5.01 (4.58, 5.49)#
Marital status
Married 1.00
Common law 1.33 (1.26, 1.39)#
Widowed/separated/divorced 0.99 (0.94, 1.03)
Single/never married 1.25 (1.19, 1.31)#
Education *
<Secondary 1.48 (1.42, 1.63)#
Secondary graduate 1.35 (1.35, 1.47)#
Some post-secondary 1.26 (1.26, 1.43)#
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 1.19 (1.10, 1.28)#
Sales/service 1.47 (1.36, 1.59)#
Trades/transport/equipment operation 1.36 (1.25, 1.48)#
Primary industry/processing/ 1.43 (1.28, 1.59)#
manufacturing
Annual income
<$40K 1.57 (1.50, 1.64)#
$40-80K 1.27 (1.22, 1.32)#
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 0.86 (0.76, 0.97)#
Prince Edward Island 0.85 (0.68, 1.06)
Nova Scotia 1.10 (1.01, 1.20)#
New Brunswick 1.00 (0.91, 1.11)
Quebec 1.00
Ontario 1.06 (1.02, 1.10)#
Manitoba 0.97 (0.89, 1.06)
Saskatchewan 0.93 (0.84, 1.02)
Alberta 1.04 (0.99, 1.10)
British Columbia 0.96 (0.90, 1.01)
Territories 1.19 (0.90, 1.57)
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 0.63 (0.58, 0.68)#
Established immigrant ([greater 0.74 (0.70, 0.77)#
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 1.01 (0.97, 1.06)
BMI
Underweight 0.86 (0.77, 0.96)#
Normal weight 1.00
Overweight 1.15 (1.10, 1.19)#
Obese 1.30 (1.23, 1.36)#
Opinion of own weight
Underweight 1.19 (1.15, 1.24)#
About right 1.00
Overweight 1.22 (1.12, 1.32)#
Smoking status
Daily 1.39 (1.34, 1.45)#
Occasionally 1.03 (0.96, 1.11)
Never 1.00
Fruits and vegetables consumption
<5/day 1.27 (1.17, 1.39)#
5-10/day 1.00 (0.92, 1.09)
>10/day 1.00
Physical activity
Active 1.00
Moderately active 1.21 (1.16, 1.27)#
Inactive 1.48 (1.42, 1.54)#
Screen time
>2 hours/day
Gender
Male 1.00
Female 0.78 (0.76, 0.81)#
Age (years)
20-24 1.00
25-34 0.74 (0.70, 0.80)#
35-44 0.55 (0.52, 0.59)#
45-54 0.59 (0.56, 0.63)#
55-64 0.84 (0.78, 0.90)#
65-74 1.14 (1.06, 1.23)#
75+ 1.12 (1.03, 1.23)#
Marital status
Married 1.00
Common law 1.16 (1.11, 1.21)#
Widowed/separated/divorced 1.01 (0.97, 1.06)
Single/never married 1.40 (1.34, 1.46)#
Education *
<Secondary 0.90 (0.86, 0.95)#
Secondary graduate 1.09 (1.05, 1.14)#
Some post-secondary 1.14 (1.06, 1.21)#
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 1.07 (1.01, 1.14)
Sales/service 1.07 (1.00, 1.14)
Trades/transport/equipment operation 0.83 (0.77, 0.89)#
Primary industry/processing/ 0.88 (0.80, 0.96)#
manufacturing
Annual income
<$40K 1.23 (1.19, 1.29)#
$40-80K 1.13 (1.09, 1.16)#
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 1.08 (0.97, 1.21)
Prince Edward Island 1.11 (0.90, 1.37)
Nova Scotia 1.33 (1.22, 1.45)#
New Brunswick 1.15 (1.05, 1.27)#
Quebec 1.00
Ontario 1.27 (1.23, 1.32)#
Manitoba 1.05 (0.97, 1.13)
Saskatchewan 1.09 (1.00, 1.19)
Alberta 1.28 (1.22, 1.35)#
British Columbia 1.32 (1.26, 1.39)#
Territories 1.18 (0.91, 1.54)
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 0.94 (0.88, 1.01)
Established immigrant ([greater 0.80 (0.77, 0.84)#
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 1.10 (1.06, 1.15)#
BMI
Underweight 1.02 (0.93, 1.12)
Normal weight 1.00
Overweight 1.04 (1.00, 1.07)
Obese 1.21 (1.15, 1.27)#
Opinion of own weight
Underweight 1.20 (1.11, 1.29)#
About right 1.00
Overweight 1.40 (1.35, 1.45)#
Smoking status
Daily 1.29 (1.24, 1.35)#
Occasionally 1.03 (0.96, 1.10)
Never 1.00
Fruits and vegetables consumption
<5/day 1.38 (1.28, 1.48)#
5-10/day 1.16 (1.08, 1.25)#
>10/day 1.00
Physical activity
Active 1.00
Moderately active 1.14 (1.10, 1.19)#
Inactive 1.25 (1.20, 1.29)#
Reading
>5 hours/week
Gender
Male 1.00
Female 1.64 (1.59, 1.69)#
Age (years)
20-24 1.00
25-34 0.97 (0.91, 1.03)
35-44 1.12 (1.05, 1.19)#
45-54 1.47 (1.38, 1.57)#
55-64 2.61 (2.44, 2.79)#
65-74 4.28 (3.97, 4.62)#
75+ 5.94 (5.44, 6.48)#
Marital status
Married 1.00
Common law 0.98 (0.93, 1.03)
Widowed/separated/divorced 1.10 (1.05, 1.15)#
Single/never married 1.26 (1.20, 1.31)#
Education *
<Secondary 0.43 (0.41, 0.46)#
Secondary graduate 0.79 (0.76, 0.82)#
Some post-secondary 1.00 (0.94, 1.06)
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 1.08 (1.01, 1.15)
Sales/service 0.97 (0.90, 1.03)
Trades/transport/equipment operation 0.67 (0.62, 0.73)#
Primary industry/processing/ 0.71 (0.64, 0.80)#
manufacturing
Annual income
<$40K 0.99 (0.95, 1.03)
$40-80K 1.02 (0.98, 1.05)
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 1.19 (1.06, 1.33)#
Prince Edward Island 1.65 (1.34, 2.03)#
Nova Scotia 1.44 (1.32, 1.57)#
New Brunswick 1.32 (1.20, 1.45)#
Quebec 1.00
Ontario 1.65 (1.59, 1.72)#
Manitoba 1.49 (1.37, 1.61)#
Saskatchewan 1.34 (1.23, 1.46)#
Alberta 1.34 (1.27, 1.42)#
British Columbia 1.72 (1.63, 1.80)#
Territories 1.64 (1.25, 2.15)#
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 1.42 (1.33, 1.51)#
Established immigrant ([greater 0.95 (0.91, 0.99)#
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 0.83 (0.80, 0.87)#
BMI
Underweight 1.03 (0.93, 1.13)
Normal weight 1.00
Overweight 0.94 (0.90, 0.97)#
Obese 0.97 (0.92, 1.02)
Opinion of own weight
Underweight 1.08 (1.00, 1.17)
About right 1.00
Overweight 1.18 (1.14, 1.23)#
Smoking status
Daily 1.04 (1.00, 1.09)#
Occasionally 1.20 (1.12, 1.28)#
Never 1.00
Fruits and vegetables consumption
<5/day 0.73 (0.67, 0.78)#
5-10/day 0.91 (0.84, 0.98)#
>10/day 1.00
Physical activity
Active 1.00
Moderately active 0.96 (0.93, 1.00)
Inactive 0.77 (0.74, 0.80)#
Total sedentary
behaviour
[greater than or equal to]
5 hours/day
Gender
Male 1.00
Female 0.96 (0.93, 0.99)#
Age (years)
20-24 1.00
25-34 0.67 (0.63, 0.71)#
35-44 0.51 (0.48, 0.55)#
45-54 0.57 (0.53, 0.61)#
55-64 0.91 (0.85, 0.97)#
65-74 1.49 (1.38, 1.61)#
75+ 1.73 (1.59, 1.88)#
Marital status
Married 1.00
Common law 1.23 (1.17, 1.30)#
Widowed/separated/divorced 1.17 (1.12, 1.23)#
Single/never married 1.72 (1.64, 1.80)#
Education *
<Secondary 0.89 (0.85, 0.93)#
Secondary graduate 1.05 (1.00, 1.09)
Some post-secondary 1.21 (1.14, 1.30)#
Post-secondary graduate 1.00
Occupation (age 25-54 ([dagger]))
Management/health/education/ 1.00
art/culture
Business/finance/administration 0.96 (0.88, 1.04)
Sales/service 1.01 (0.93, 1.09)
Trades/transport/equipment operation 0.71 (0.65, 0.78)#
Primary industry/processing/ 0.80 (0.71, 0.90)#
manufacturing
Annual income
<$40K 1.50 (1.44, 1.57)#
$40-80K 1.26 (1.22, 1.31)#
[greater than or equal to] $80K 1.00
Province
Newfoundland and Labrador 1.17 (1.03, 1.33)
Prince Edward Island 1.10 (0.87, 1.39)
Nova Scotia 1.49 (1.36, 1.63)#
New Brunswick 1.31 (1.18, 1.45)#
Quebec 1.00
Ontario 1.52 (1.46, 1.59)#
Manitoba 1.22 (1.12, 1.34)#
Saskatchewan 1.20 (1.09, 1.33)#
Alberta 1.45 (1.37, 1.54)#
British Columbia 1.53 (1.45, 1.61)#
Territories 1.57 (1.18, 2.07)#
Immigrant status
Non-immigrant 1.00
Recent immigrant (0-9 years) 1.18 (1.10, 1.27)#
Established immigrant ([greater 0.87 (0.83, 0.91)#
than or equal to] 10 years)
Race/ethnicity
White 1.00
Visible minority 1.07 (1.02, 1.12)#
BMI
Underweight 0.99 (0.89, 1.09)
Normal weight 1.00
Overweight 1.05 (1.00, 1.09)
Obese 1.24 (1.18, 1.30)#
Opinion of own weight
Underweight 1.37 (1.27, 1.48)#
About right 1.00
Overweight 1.35 (1.30, 1.41)#
Smoking status
Daily 1.38 (1.32, 1.44)#
Occasionally 1.02 (0.95, 1.10)
Never 1.00
Fruits and vegetables consumption
<5/day 1.04 (0.95, 1.13)
5-10/day 0.91 (0.83, 0.99)
>10/day 1.00
Physical activity
Active 1.00
Moderately active 1.14 (1.09, 1.19)#
Inactive 1.27 (1.22, 1.32)#
Note: All listed variables included in multivariable regression
model. BMI = body mass index. Bold font indicates statistically
significant association with reporting high levels of each SB.
* Highest household education for respondents aged 20-24; highest
respondent education for ages [greater than or equal to] 25.
([dagger]) Occupational group included for respondents aged
25-54.
Note: Statistically significant association with
reporting high levels of each SB indicated with #.
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