The economic benefits of risk factor reduction in Canada: tobacco smoking, excess weight and physical inactivity.
Krueger, Hans ; Turner, Donna ; Krueger, Joshua 等
Despite years of successful reduction in the prevalence of tobacco
smoking, (1,2) it remains the number one risk factor (RF) with respect
to the preventable disease burden in Canada and the United States. (3,4)
Recent trend information from the US suggests a convergence of relative
and absolute risk of death from smoking in men and women, resulting from
the convergence of smoking patterns between the sexes since the 1960s.
(5) Furthermore, the rate of death from chronic obstructive pulmonary
disease (COPD) appears to be increasing in both male and female smokers,
possibly due to design changes in cigarettes that promote deeper
inhalation of smoke. (5)
Excess weight is second on the list of RFs with respect to the
preventable disease burden in Canada and the US, (3) and yet this RF
continues to increase in prevalence. (6) Both excess weight and physical
inactivity have independently been implicated as RFs for a variety of
chronic diseases. Consequently, these RFs have joined tobacco smoking as
key prevention targets.
Estimations of the economic burden generated by such RFs have been
undertaken in many jurisdictions in the world, (7) including Canada
(8-12) and several Canadian provinces. (13,14) In addition to
understanding the costs related to a single RF, estimating the aggregate
economic burden generated by two or more RFs in a population is often of
interest. (15) This information can inform prevention strategies aimed
at more than one RF. There are, however, analytical challenges involved
with the estimation of the aggregate burden of multiple RFs in a
population. Certain costs (e.g., those generated by incident disease or
death) are, by definition, accrued only once. Thus, it is important to
account for the confounding effect of multiple RFs in the same
individual, and specifically to adjust for any increase in the
calculated economic burden due to double counting cases and costs. (16)
The purpose of this study is twofold: 1) to apply a recently
developed approach to address this issue of double counting in
estimating the combined economic burden of tobacco smoking, excess
weight and physical inactivity in Canada, and 2) to estimate the
economic benefits of long-term RF reduction in Canada. (16) This current
model has been updated to include economic data for the year 2012,
prevalence and relative risk information for tobacco smoking by
intensity and a flexible module, which can be used to estimate the
economic benefits of long-term RF reduction.
METHODS
The details of our base model have been previously published. (16)
In short, we used an approach based on population attributable fraction
(PAF) to estimate the economic burden associated with the various RFs.
PAF is a statistic that combines two facets of a RF and its impact on
disease: relative risk (RR) of the RF in reference to a particular
disease, and the prevalence of exposure to the RF in the population of
interest.
[FIGURE 1 OMITTED]
Relative risk
The sources for the RRs associated with excess weight and physical
inactivity remain the same as in the previously published model. (9,17)
The 2013 study on 1.3 million UK women was used as the source for RR
data associated with tobacco smoking. (2) RRs were adjusted for
geographic region, age, body mass index (BMI), socio-economic status,
current alcohol intake, weekly strenuous physical activity, height, oral
contraceptive use, menopausal status and menopausal hormone therapy use.
RRs are also presented by three levels of smoking intensity based on the
number of cigarettes smoked per day at the time of study recruitment,
namely <10, 10-19 or [greater than or equal to] 20.
The relative risk data for excess weight is specific to males and
females while the source of RR data for physical inactivity did not make
this distinction. An additional review of research for sex variations
associated with physical inactivity and the risk of stroke, (18) colon
(19) and rectal cancers, (20) supported the assumption that there is no
significant difference in RR between males and females for this RF. The
source of RR data for tobacco smoking is based on females only. Recent
information suggests a convergence in RR between females and males,
especially when adjusted for smoking intensity. (5) Even without
adjusting for smoking intensity, Jha and colleagues found no significant
differences between the sexes in adjusted hazard ratios for various
causes of death in current smokers, including cancers, vascular
diseases, respiratory diseases and all causes. (1) We therefore assumed
that the RRs by smoking intensity would be the same for males and
females by disease category.
The point estimates of the RRs are used for calculations in the
base model with the upper and lower bounds of the 95% confidence
intervals assessed in a sensitivity analysis.
Risk factor exposure
The other half of a PAF calculation depends on high-quality RF
prevalence data. (21) The analysis of Canada's population exposure
to tobacco smoking, physical inactivity and overweight/obesity began
with information drawn from the 2010 Canadian Community Health Survey
(CCHS). First, overweight and obese individuals were those with a BMI of
between 25 kg/[m.sup.2] and 30 kg/[m.sup.2] for overweight and 30
kg/[m.sup.2] or greater for obesity, calculated based on self-reported
height and weight. For youth aged 12 to 17, the Cole system of BMI was
used to determine overweight and obesity rates. (22) Second, tobacco
smokers were grouped into light (<10 cigarettes per day), moderate
(10-19 per day) and heavy ([greater than or equal to] 20 per day)
smokers based on additional details on the average number of cigarettes
smoked per day. (23) All current smokers who identified themselves as
occasional smokers were included in the "light" smoking
category. Third, physically inactive individuals were those categorized
in the CCHS as "inactive."
We made one adjustment to these base CCHS data, namely estimating
the rates of overweight, obesity and physical inactivity for children
aged less than 12 years based on the sex-specific rates for 12-14 year
olds in the CCHS. We assumed no smoking occurs in children younger than
12 years of age.
Multiple exposure levels
The most basic version of a PAF calculation, derived from the
prevalence of a single RF and the RR of a related disease, uses the
formula (E(RR-1)) / (E(RR-1)+ 1)), where E is the proportion of the
population exposed to the factor of interest and RR is the relative risk
of disease developing in the group exposed to the factor.
More sophisticated approaches are required to calculate PAF when a
polytomous RF is involved. (24) This is the case for both the excess
weight and the tobacco smoking RFs in the current model. Overweight and
obesity should be conceived as a trichotomous exposure to excess body
weight; i.e., 1) no excess weight, 2) intermediate excess or overweight
(prevalence [E.sub.OW]), and 3) more extreme excess or obesity
(prevalence [E.sub.OB]). The PAF calculation is as follows:
([E.sub.OW]([RR.sub.OW]-1) + [E.sub.OB]([RR.sub.OB]-1)) /
([E.sub.OW]([RR.sub.OW]-1) + [E.sub.OB]([RR.sub.OB]-1) + 1))
Tobacco smoking, on the other hand, should be conceived as a
tetrachotomous exposure; i.e., 1) non-smoker, 2) light smoker
(prevalence [E.sub.TSL]), 3) moderate smoker (prevalence [E.sub.TSM]),
and 4) heavy smoker (prevalence [E.sub.TSH]). The PAF calculation is as
follows:
([E.sub.TSL]([RR.sub.TSL]-1) + [E.sub.TSM]([RR.sub.TSM]-1) +
[E.sub.TSH]([RR.sub.TSH]-1)) / ([E.sub.TSL]([RR.sub.TSL]-1) +
[E.sub.TSM]([RR.sub.TSM]-1) + [E.sub.TSH]([RR.sub.TSH]-1) + 1))
Calculating and adjusting costs
We estimated the economic burden using a prevalence-based
cost-of-illness approach, and reported this in 2012 Canadian dollars. We
began calculating direct costs using the approach adopted by Anis et al.
(11) In short, direct costs, including hospital care, physician
services, other health care professionals (but excluding dental
services), drugs, health research and "other" health care
expenditures were extracted from the National Health Expenditure
Database for Canada. (25) All costs (except hospital care) were
allocated to each of the co-morbidity categories based on weights
published in the Economic Burden of Illness in Canada (EBIC) for 1998.
(26) Hospital costs were allocated to each co-morbidity based on the
proportion of total patient bed-days (based on data from the Canadian
Institute for Health Information (CIHI) Hospital Morbidity Database
2000/2001) (27) used in treating patients in Canada with that
co-morbidity. Estimated total direct costs were distributed between
males and females based on the proportion of hospital bed-days in
2000/2001 utilized by males and females for each of the co-morbidities.
Finally, the Canadian sex-specific costs by co-morbidity were multiplied
by the calculated sex- and comorbidity-specific PAF. We calculated
indirect costs (premature mortality, short- and long-term disability)
following the method used in EBIC, 1998 (a modified human-capital
approach).
Economic benefits of risk factor reduction
A number of key assumptions were made in modelling the economic
benefits associated with future RF reduction in the Canadian population.
First, population projections for the 20-year timeframe from 2012 to
2031 by sex and five-year age group were based on projections by
Statistics Canada. (28) Second, RF prevalence by sex and five-year age
group was calculated for 2010 using the CCHS 2010 Public Use Microdata
File. (23) Third, the base model uses a constant 1% relative annual
reduction in the RFs of tobacco smoking, physical inactivity and excess
weight. Current trends of decreasing smoking prevalence and increasing
weight and inactivity are not factored into the model. Fourth, constant
2012 dollars are used throughout the modelling process (i.e., no
adjustments are made for projected inflation) in order to clearly
identify changes in the economic burden associated with changing RF
prevalence, rather than confusing these results with inflationary
increases. Fifth, obese individuals move into the overweight category
while overweight individuals move into the healthy weight category.
Sixth, the benefits associated with physical activity and moving to a
healthier weight accrue within a year. (29) Last, the benefits of
smoking cessation accrue over time, as per Figure 1. (30)
RESULTS
Table 1 shows the fully adjusted prevalence of RF exposure, the
statistically significant RR data by sex and the calculated PAF of
disease incidence related to each RF. The PAF for all co-morbidities,
with the obvious exception of gynecological and breast cancers, vary by
sex. This type of detailed analysis has important implications in
determining direct and indirect costs.
Table 2 includes a summary of the adjusted estimates of the
prevalence of the chronic disease RFs, the absolute numbers of Canadians
with each RF and the fully adjusted economic results. The total annual
economic burden in Canada attributable to these RFs is $50.3 billion
($15.4/$34.9 billion in direct/indirect costs).
Figure 2 represents the RF-specific burden graphically, with
additional information on the components that constitute the indirect
costs. The indirect burden related to premature mortality dominates as
an outcome of tobacco smoking ($9.7 billion, or 68% of $14.3 billion in
total indirect costs for that RF) and is also marginally higher than
disability in the case of physical inactivity. The reverse is true for
excess weight, where the economic burden of disability ($8.1 billion)
outstrips the costs of premature mortality ($5.5 billion).
This analysis indicates that the disaggregated economic burden for
excess weight in Canada in 2012 at $19.0 billion remains lower than the
economic burden related to tobacco smoking at $21.3 billion.
It appears that cardiovascular diseases tend to dominate the
disease burden that is attributable to these RFs. Of the $50.3 billion
in annual economic burden, $21.0 billion (41.8%) is associated with
cardiovascular diseases, $9.8 billion (19.4%) with cancers, $9.3 billion
(18.5%) with musculoskeletal diseases, $6.6 billion (13.2%) with
respiratory diseases and $3.2 billion (6.4%) with diabetes (see Figure
3).
Table 3 provides a summary of the estimated number of individuals
in Canada with the RFs in 2012 and compares them to 2031 with either an
assumption of no change or a 1% relative annual reduction in RF
prevalence. With a 1% reduction, the proportion of Canadians who smoke
would decrease from 17.9% in 2012 to 13.6% in 2031. In terms of absolute
numbers of Canadians who smoke, the decrease would be from 6.2 million
in 2012 to 5.7 million in 2031. The proportion of Canadians with excess
weight would decrease from 42.9% to 38.7% while the proportion of
physically inactive Canadians would decrease from 44.3% to 37.5%.
The economic burden associated with these RFs in Canada would
increase from $50.3 billion in 2012 to $59.2 billion in 2031 (in
constant 2012 dollars), assuming no change in RF prevalence, i.e., based
solely on population growth (see Table 4). A 1% relative annual
reduction in each of the three RFs would result in this projected
economic burden of $59.2 billion decreasing to $50.8 billion (-$8.5
billion) in 2031. This reduction consists of $3.2, $3.1 and $2.1
billion, respectively, for decreases in excess weight, tobacco smoking
and physical inactivity (see Figure 4). Over the 20-year period from
2012 to 2031, a 1% relative annual reduction in these RFs would result
in an estimated cumulative reduction in economic burden of $78.0 billion
(consisting of $31.2, $26.4 and $20.3 billion, respectively, for
decreases in excess weight, tobacco smoking and physical inactivity).
Sensitivity analysis
The point estimates for RR are used in the base model results
presented above. We used the lower and upper bounds of the 95% CI for
the RR associated with each RF and disease in a sensitivity analysis.
Using the lower bounds resulted in a decrease in the total estimated
economic burden in 2012 from $50.3 billion to $41.6 billion (or -17.3%)
while applying the upper bounds increased the total economic burden to
$58.7 billion in 2012 (or +16.7%) (see Table 5).
DISCUSSION
The annual economic burden of the RFs of tobacco smoking, excess
weight and physical inactivity in Canada are estimated at $50.3 billion
in 2012 ($15.4/$34.9 billion in direct/indirect costs). Of this amount,
$21.3 billion is attributable to tobacco smoking ($7.0/$14.3 billion in
direct/indirect costs), $19.0 billion is attributable to excess weight
($5.4/$13.6 billion in direct/indirect costs), and $10.0 billion is
attributable to physical inactivity ($3.0/$7.0 billion in
direct/indirect costs).
Total health care expenditures in Canada in 2012 are estimated at
$207.4 billion. (25) The total direct health care costs attributable to
tobacco smoking, excess weight and physical inactivity of $15.4 billion
represents 7.4% of this total. Kaiserman estimated smoking attributable
health care costs in Canada in 1991 to be $2.5 billion, (12) or about
3.8% of the $66.3 billion total health care costs in Canada that year.
(25) Similarly, Rehm and colleagues estimated smoking attributable
health care costs in Canada in 2002 to be $4.4 billion, (31) or 3.8% of
the $115.1 billion total health care costs in Canada that year. (25) Our
finding of 3.4% ($7.0 of $207.4 billion) may be at least partially
attributable to a reduction in smoking prevalence from 25.9% to 19.9% of
the population aged 12 and over in Canada during the last decade (32) as
well as adjustments made to avoid double counting. Katzmarzyck and
Janssen estimated the direct health care costs attributable to physical
inactivity and obesity to be $1.6 billion each in 2001, (9) or 1.5% of
the $107.2 billion total health care costs in Canada that year. (25) Our
estimate of 2.6% for excess weight includes both overweight and obesity.
Including just obesity would reduce direct care costs to 1.7% ($3.5 of
$207.4 billion), or slightly higher than the 1.5% estimated by
Katzmarzyck and Janssen. Anis and colleagues estimated the combined
direct costs of overweight and obesity in Canada in 2006 to be $6.0
billion, or 4.0% of the $150.8 billion total health care costs in Canada
that year. (25) Of the $6.0 billion, approximately $4.0 billion (or 2.6%
of $150.8 billion) is attributable to obesity. Our estimate of 1.4%
($3.0 billion of $207.4 billion) attributable to physical inactivity is
somewhat lower than previous estimates of 1.5%. (9) Lower estimates of
the direct costs attributable to tobacco smoking, excess weight and
physical inactivity observed in the current study compared with previous
Canadian studies may be at least partially due to addressing double
counting when assessing the economic impact of multiple RFs within the
population. In addressing double counting, the aggregate economic burden
was 13.4% lower than the total that would be generated by crude
summation of costs generated by each of the three RFs.
Another important result, generated by having access to
sex-specific RF prevalence and RR data, is the difference between males
and females in contributing to the total economic burden. Of the $50.3
billion, $26.5 billion (52.8%) is attributable to males and $23.8
billion to females. The costs associated with tobacco smoking, however,
are higher for males ($13.0 billion) than for females ($8.3 billion),
which is a reflection of the continuing higher prevalence of tobacco
smoking among men (20.7% vs. 15.0% among women) and the fact that a
higher proportion of men are heavy smokers (6.5% vs. 3.0%). The overall
sex-specific distribution for the burden of key modifiable RFs has
important implications for prevention planning and public health
messaging.
[FIGURE 4 OMITTED]
Our analysis suggests that even a modest 1% annual relative
reduction in the RFs of tobacco smoking, excess weight and physical
inactivity can have a substantial health and economic impact over time
at the population level. Indeed, such a change could bend the cost curve
over a 20-year period to the point where the economic burden associated
with these RFs would remain essentially constant despite the projected
growth in Canada's population from 33 million in 2012 to 42 million
in 2031.
The analysis of the economic burden related to the RF system and
the individual RFs is the first phase of any attempt to project the
potential economic impact of applying known primary prevention
initiatives. A key question is whether a 1% annual relative reduction in
these RFs, as assumed in the current analysis, is achievable over the
long term. Between 2001 and 2011, smoking rates in Canada fell from
25.9% to 19.9% for the population aged 12 and over (32) (a 2.6% relative
annual reduction). There are also a number of promising approaches
worldwide which include addressing the RFs of excess weight and physical
inactivity, (33) such as the experience in North Karelia, Finland.
(34,35)
The quality of the results derived from a PAF analysis is
inevitably limited by the quality of the inputs, specifically RR and
prevalence data. A potential weakness in this study is the lack of RR
information based on Canadian data. A sensitivity analysis using the 95%
CI associated with each RR indicates the importance of using robust and
accurate RR estimates. The economic modelling also uses older data from
CIHI and the EBIC for cost allocation purposes, requiring the assumption
that the distribution of costs have not changed significantly for
specific cost categories over time. Similarly, the method of scaling up
from direct costs to indirect costs depends on the assumption that the
ratios of costs between different co-morbidities are the same for direct
and indirect costs.
Received: June 6, 2013 Accepted: January 28, 2014
Conflict of Interest: None to declare.
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Hans Krueger, PhD, [1,2] Donna Turner, PhD, [3,4] Joshua Krueger,
BA, [2] A. Elizabeth Ready, PhD [5]
Author Affiliations
[1.] School of Population and Public Health, University of British
Columbia, Vancouver, BC
[2.] H. Krueger & Associates Inc., Delta, BC
[3.] Department of Community Health Sciences, University of
Manitoba, Winnipeg, MB
[4.] CancerCare Manitoba, Winnipeg, MB
[5.] Faculty of Kinesiology and Recreation Management, University
of Manitoba, Winnipeg, MB
Correspondence: Hans Krueger, H. Krueger & Associates Inc.,
4554 48B Street, Delta, BC V4K 2R8, Tel: 604-946-5464, E-mail:
hans@krueger.ca
Table 1. Relative risk, prevalence of risk factors, and population
attributable fraction in Canada, 2010
Tobacco smoking
Light
Male
Prevalence of Risk Factor in Canada in 2010 8.3%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 10.83 21.4%
Lip, oral cavity, 140-149, 2.85 9.6%
pharynx, larynx 160,161
Urinary bladder 188 2.68 9.7%
Esophagus 150 2.17 7.1%
Pancreas 157 1.89 5.9%
Stomach 151 1.75 5.2%
Liver 155 1.42 3.1%
Kidney, other urinary 189 1.42 3.0%
Colorectal cancer 153, 154 1.20 1.6%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 3.87 12.7%
Coronary heart disease 410-414, 429 3.19 11.2%
Stroke/cerebrovascular 430-438 2.29 7.8%
disease
Venous thromboembolism 415,451-453 1.34 2.6%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 22.71 27.1%
493.2
Pneumonia, influenza 480-486 2.06 6.5%
Asthma 493
Diabetes
Type 2 diabetes 250.x0,
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 2.73 9.8%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Tobacco smoking
Light
Female
Prevalence of Risk Factor in Canada in 2010 7.0%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 10.83 21.0%
Lip, oral cavity, 140-149, 2.85 8.9%
pharynx, larynx 160,161
Urinary bladder 188 2.68 8.9%
Esophagus 150 2.17 6.5%
Pancreas 157 1.89 5.3%
Stomach 151 1.75 4.6%
Liver 155 1.42 2.7%
Kidney, other urinary 189 1.42 2.6%
Colorectal cancer 153, 154 1.20 1.4%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 3.87 12.1%
Coronary heart disease 410-414, 429 3.19 10.4%
Stroke/cerebrovascular 430-438 2.29 7.1%
disease
Venous thromboembolism 415,451-453 1.34 2.2%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 22.71 27.0%
493.2
Pneumonia, influenza 480-486 2.06 5.9%
Asthma 493
Diabetes
Type 2 diabetes 250.x0,
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 2.73 9.1%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Tobacco smoking
Moderate
Male
Prevalence of Risk Factor in Canada in 2010 5.9%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 22.03 26.6%
Lip, oral cavity, 140-149, 4.91 13.6%
pharynx, larynx 160,161
Urinary bladder 188 3.66 10.8%
Esophagus 150 2.99 8.5%
Pancreas 157 2.37 6.5%
Stomach 151 2.04 5.2%
Liver 155 1.56 3.0%
Kidney, other urinary 189 2.28 6.3%
Colorectal cancer 153, 154 1.22 1.2%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 7.18 17.8%
Coronary heart disease 410-414, 429 4.55 12.7%
Stroke/cerebrovascular 430-438 3.20 9.3%
disease
Venous thromboembolism 415,451-453 1.39 2.1%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 32.87 27.6%
493.2
Pneumonia, influenza 480-486 3.06 8.8%
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 1.86 4.6%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 3.34 9.6%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Tobacco smoking
Moderate
Female
Prevalence of Risk Factor in Canada in 2010 5.0%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 22.03 26.2%
Lip, oral cavity, 140-149, 4.91 12.6%
pharynx, larynx 160,161
Urinary bladder 188 3.66 9.9%
Esophagus 150 2.99 7.7%
Pancreas 157 2.37 5.7%
Stomach 151 2.04 4.5%
Liver 155 1.56 2.6%
Kidney, other urinary 189 2.28 5.5%
Colorectal cancer 153, 154 1.22 1.1%
Breast cancer 174, 175 1.15 0.7%
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 7.18 17.0%
Coronary heart disease 410-414, 429 4.55 11.8%
Stroke/cerebrovascular 430-438 3.20 8.4%
disease
Venous thromboembolism 415,451-453 1.39 1.8%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 32.87 27.4%
493.2
Pneumonia, influenza 480-486 3.06 7.9%
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 1.86 3.9%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 3.34 8.7%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Tobacco smoking
Heavy
Male
Prevalence of Risk Factor in Canada in 2010 6.5%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 36.00 33.3%
Lip, oral cavity, 140-149, 7.20 20.9%
pharynx, larynx 160,161
Urinary bladder 188 3.24 10.2%
Esophagus 150 4.62 15.5%
Pancreas 157 2.66 8.4%
Stomach 151 2.20 6.5%
Liver 155 1.54 3.2%
Kidney, other urinary 189 2.56 8.2%
Colorectal cancer 153, 154 1.39 2.4%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 8.09 21.1%
Coronary heart disease 410-414, 429 5.92 17.8%
Stroke/cerebrovascular 430-438 3.81 12.5%
disease
Venous thromboembolism 415,451-453 1.77 4.5%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 60.49 33.6%
493.2
Pneumonia, influenza 480-486 4.42 14.8%
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 2.17 6.7%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 3.97 12.8%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Tobacco smoking
Heavy
Female
Prevalence of Risk Factor in Canada in 2010 3.0%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162 36.00 26.5%
Lip, oral cavity, 140-149, 7.20 12.3%
pharynx, larynx 160,161
Urinary bladder 188 3.24 5.4%
Esophagus 150 4.62 8.5%
Pancreas 157 2.66 4.3%
Stomach 151 2.20 3.2%
Liver 155 1.54 1.5%
Kidney, other urinary 189 2.56 4.2%
Colorectal cancer 153, 154 1.39 1.1%
Breast cancer 174, 175 1.25 0.8%
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441 8.09 12.9%
Coronary heart disease 410-414, 429 5.92 10.2%
Stroke/cerebrovascular 430-438 3.81 6.7%
disease
Venous thromboembolism 415,451-453 1.77 2.2%
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405
Respiratory Diseases
Chronic lung disease 490-492, 60.49 28.8%
493.2
Pneumonia, influenza 480-486 4.42 8.1%
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 2.17 3.3%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,. 3.97 6.9%
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715
Chronic back pain 720-724
Excess weight
Overweight
Male
Prevalence of Risk Factor in Canada in 2010 34.7%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150 1.13 4.3%
Pancreas 157
Stomach 151
Liver 155
Kidney, other urinary 189 1.40 10.9%
Colorectal cancer 153, 154 1.51 13.2%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 1.29 4.7%
Stroke/cerebrovascular 430-438 1.23 6.9%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1 1.91 19.0%
Congestive heart failure 428
Hypertension 401-405 1.28 4.5%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493 1.20 6.1%
Diabetes
Type 2 diabetes 250.x0, 2.40 16.1%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715 2.76 27.9%
Chronic back pain 720-724 1.59 14.3%
Excess weight
Overweight
Female
Prevalence of Risk Factor in Canada in 2010 22.5%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150
Pancreas 157
Stomach 151
Liver 155
Kidney, other urinary 189 1.82 13.4%
Colorectal cancer 153, 154 1.45 8.5%
Breast cancer 174, 175
Postmenopausal breast 174, 175 1.08 1.7%
cancer
Endometrial cancer 179, 181, 1.53 9.3%
182
Ovarian cancer 183 1.18 3.8%
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 1.80 8.6%
Stroke/cerebrovascular 430-438 1.15 3.1%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1 1.91 14.2%
Congestive heart failure 428
Hypertension 401-405 1.65 7.3%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493 1.25 5.0%
Diabetes
Type 2 diabetes 250.x0, 3.92 21.0%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575 1.44 5.2%
Osteoarthritis 715 1.80 13.5%
Chronic back pain 720-724 1.59 10.3%
Excess weight
Obesity
Male
Prevalence of Risk Factor in Canada in 2010 16.0%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150
Pancreas 157 2.29 17.1%
Stomach 151
Liver 155
Kidney, other urinary 189 1.82 10.4%
Colorectal cancer 153, 154 1.95 11.6%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 1.72 8.6%
Stroke/cerebrovascular 430-438 1.51 7.0%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1 3.51 22.7%
Congestive heart failure 428 1.79 11.2%
Hypertension 401-405 1.84 9.9%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493 1.43 6.1%
Diabetes
Type 2 diabetes 250.x0, 6.74 35.4%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575 1.43 5.7%
Osteoarthritis 715 4.20 25.0%
Chronic back pain 720-724 2.81 18.8%
Excess weight
Obesity
Female
Prevalence of Risk Factor in Canada in 2010 12.8%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150
Pancreas 157 1.60 7.1%
Stomach 151
Liver 155
Kidney, other urinary 189 2.64 14.9%
Colorectal cancer 153, 154 1.66 7.2%
Breast cancer 174, 175
Postmenopausal breast 174, 175 1.13 1.6%
cancer
Endometrial cancer 179, 181, 3.22 19.3%
182
Ovarian cancer 183 1.28 3.3%
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 3.10 18.7%
Stroke/cerebrovascular 430-438 1.49 5.6%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1 3.51 20.2%
Congestive heart failure 428 1.78 9.0%
Hypertension 401-405 2.42 13.9%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493 1.78 8.5%
Diabetes
Type 2 diabetes 250.x0, 2.41 43.9%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575 2.32 13.4%
Osteoarthritis 715 1.96 9.7%
Chronic back pain 720-724 2.81 16.4%
Physical
inactivity
Male
Prevalence of Risk Factor in Canada in 2010 41.1%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150
Pancreas 157
Stomach 151
Liver 155
Kidney, other urinary 189
Colorectal cancer 153, 154 1.41 14.4%
Breast cancer 174, 175
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 1.45 15.6%
Stroke/cerebrovascular 430-438 1.60 19.8%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405 1.30 11.0%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 1.50 17.0%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715 1.59 19.5%
Chronic back pain 720-724
Physical
inactivity
Female
Prevalence of Risk Factor in Canada in 2010 47.5%
All ages
Cancers ICD-9 Code RR PAF
Trachea, bronchus, lung 162
Lip, oral cavity, 140-149,
pharynx, larynx 160,161
Urinary bladder 188
Esophagus 150
Pancreas 157
Stomach 151
Liver 155
Kidney, other urinary 189
Colorectal cancer 153, 154 1.41 16.3%
Breast cancer 174, 175 1.31 12.8%
Postmenopausal breast 174, 175
cancer
Endometrial cancer 179, 181,
182
Ovarian cancer 183
Cardiovascular Diseases
Aortic aneurysm 441
Coronary heart disease 410-414, 429 1.45 17.6%
Stroke/cerebrovascular 430-438 1.60 22.2%
disease
Venous thromboembolism 415,451-453
Pulmonary embolism 415.1
Congestive heart failure 428
Hypertension 401-405 1.30 12.5%
Respiratory Diseases
Chronic lung disease 490-492,
493.2
Pneumonia, influenza 480-486
Asthma 493
Diabetes
Type 2 diabetes 250.x0, 1.50 19.2%
250.x2
Other
Cirrhosis of alcoholic 571.0,.1,.2,.
liver 3,.5,.6,.9
Gallbladder disease 574, 575
Osteoarthritis 715 1.59 21.9%
Chronic back pain 720-724
ICD = International Classification of Disease; RR = Relative Risk;
PAF = Population Attributable Fraction.
Table 2. Estimated prevalence of RFs, total economic burden
for multifactorial system, and disaggregated costs by RF
Canada, 2012, by sex, adjusted for multiple RFs in one individual
% #
Population Individuals
with RF with RF
Males
Smokers
Light 8.3% 1,435,035
Moderate 5.9% 1,024,846
Heavy 6.5% 1,129,249
Subtotal--Male Smokers 20.7% 3,589,130
Excess Weight
Overweight 34.7% 6,046,660
Obese 16.0% 2,773,601
Subtotal--Male Excess Weight 50.7% 8,820,261
Inactive 41.1% 7,149,313
Subtotal
Females
Smokers
Light 7.0% 1,227,115
Moderate 5.0% 867,893
Heavy 3.0% 530,887
Subtotal--Female Smokers 15.0% 2,625,894
Excess Weight
Overweight 22.5% 3,987,187
Obesity 12.8% 2,258,665
Subtotal--Female Excess Weight 35.3% 6,245,852
Inactive 47.5% 8,409,362
Subtotal
Both Sexes
Smokers
Light 7.6% 2,662,149
Moderate 5.4% 1,892,739
Heavy 4.8% 1,660,137
Subtotal--Smokers 17.9% 6,215,024
Excess Weight
Overweight 28.6% 10,033,847
Obesity 14.4% 5,032,267
Subtotal--Excess Weight 42.9% 15,066,113
Inactive 44.3% 15,558,675
Total
Direct Indirect
cost per cost per
individual individual
with RF with RF
($'s) ($'s)
Males
Smokers
Light $767 $1,598
Moderate $1,279 $2,669
Heavy $1,598 $3,283
Subtotal--Male Smokers $1,175 $2,434
Excess Weight
Overweight $156 $468
Obese $565 $1,384
Subtotal--Male Excess Weight $285 $756
Inactive $195 $422
Subtotal
Females
Smokers
Light $681 $1,366
Moderate $1,144 $2,315
Heavy $1,753 $3,562
Subtotal--Female Smokers $1,051 $2,124
Excess Weight
Overweight $256 $685
Obesity $842 $1,863
Subtotal--Female Excess Weight $468 $1,111
Inactive $191 $472
Subtotal
Both Sexes
Smokers
Light $727 $1,491
Moderate $1,217 $2,507
Heavy $1,648 $3,372
Subtotal--Smokers $1,122 $2,303
Excess Weight
Overweight $196 $554
Obesity $689 $1,599
Subtotal--Excess Weight $361 $903
Inactive $193 $449
Total
Total Total
cost per direct
individual cost of
with RF RF
($'s) (million $)
Males
Smokers
Light $2,365 $1,100
Moderate $3,948 $1,311
Heavy $4,881 $1,805
Subtotal--Male Smokers $3,609 $4,216
Excess Weight
Overweight $624 $945
Obese $1,949 $1,567
Subtotal--Male Excess Weight $1,041 $2,513
Inactive $618 $1,397
Subtotal $8,125
Females
Smokers
Light $2,047 $836
Moderate $3,459 $992
Heavy $5,315 $930
Subtotal--Female Smokers $3,174 $2,759
Excess Weight
Overweight $940 $1,020
Obesity $2,705 $1,901
Subtotal--Female Excess Weight $1,579 $2,921
Inactive $663 $1,603
Subtotal $7,282
Both Sexes
Smokers
Light $2,218 $1,936
Moderate $3,724 $2,303
Heavy $5,020 $2,735
Subtotal--Smokers $3,425 $6,974
Excess Weight
Overweight $750 $1,965
Obesity $2,288 $3,468
Subtotal--Excess Weight $1,264 $5,433
Inactive $642 $3,000
Total $15,408
Total Total
indirect cost of
cost of RF
RF (million $)
(million $)
Males
Smokers
Light $2,294 $3,394
Moderate $2,735 $4,046
Heavy $3,707 $5,512
Subtotal--Male Smokers $8,736 $12,952
Excess Weight
Overweight $2,827 $3,772
Obese $3,838 $5,406
Subtotal--Male Excess Weight $6,665 $9,178
Inactive $3,020 $4,417
Subtotal $18,422 $26,547
Females
Smokers
Light $1,676 $2,512
Moderate $2,009 $3,002
Heavy $1,891 $2,822
Subtotal--Female Smokers $5,577 $8,336
Excess Weight
Overweight $2,730 $3,750
Obesity $4,209 $6,109
Subtotal--Female Excess Weight $6,939 $9,859
Inactive $3,968 $5,571
Subtotal $16,484 $23,766
Both Sexes
Smokers
Light $3,970 $5,906
Moderate $4,744 $7,048
Heavy $5,599 $8,334
Subtotal--Smokers $14,313 $21,288
Excess Weight
Overweight $5,557 $7,522
Obesity $8,047 $11,515
Subtotal--Excess Weight $13,604 $19,037
Inactive $6,988 $9,988
Total $34,906 $50,313
RF = Risk factor.
Table 3. Projected risk factor prevalence, Canada,
2012 compared with 2031 (no change) & 2031 (1% reduction)
2012
% Population # Individuals
with RF with RF
Males
Smokers
Light 8.3% 1,435,035
Moderate 5.9% 1,024,846
Heavy 6.5% 1,129,249
Subtotal--Male Smokers 20.7% 3,589,130
Excess Weight
Overweight 34.7% 6,046,660
Obese 16.0% 2,773,601
Subtotal--Male Excess Weight 50.7% 8,820,261
Inactive 41.1% 7,149,313
Subtotal
Females
Smokers
Light 7.0% 1,227,115
Moderate 5.0% 867,893
Heavy 3.0% 530,887
Subtotal--Female Smokers 15.0% 2,625,894
Excess Weight
Overweight 22.5% 3,987,187
Obesity 12.8% 2,258,665
Subtotal--Female Excess Weight 35.3% 6,245,852
Inactive 47.5% 8,409,362
Both Sexes
Smokers
Light 7.6% 2,662,149
Moderate 5.4% 1,892,739
Heavy 4.8% 1,660,137
Subtotal--Smokers 17.9% 6,215,024
Excess Weight
Overweight 28.6% 10,033,847
Obesity 14.4% 5,032,267
Subtotal--Excess Weight 42.9% 15,066,113
Inactive 44.3% 15,558,675
2031 (No Change)
% Population # Individuals
with RF with RF
Males
Smokers
Light 7.6% 1,594,064
Moderate 5.6% 1,159,318
Heavy 6.1% 1,263,547
Subtotal--Male Smokers 19.3% 4,016,929
Excess Weight
Overweight 35.0% 7,306,670
Obese 15.6% 3,258,843
Subtotal--Male Excess Weight 50.7% 10,565,513
Inactive 41.6% 8,683,597
Subtotal
Females
Smokers
Light 6.5% 1,372,665
Moderate 4.7% 994,982
Heavy 2.9% 611,023
Subtotal--Female Smokers 14.0% 2,978,670
Excess Weight
Overweight 23.7% 4,927,711
Obesity 13.2% 2,754,174
Subtotal--Female Excess Weight 36.9% 7,681,885
Inactive 48.8% 10,358,354
Both Sexes
Smokers
Light 7.0% 2,966,729
Moderate 5.1% 2,154,300
Heavy 4.5% 1,874,569
Subtotal--Smokers 16.6% 6,995,599
Excess Weight
Overweight 29.4% 12,234,381
Obesity 14.4% 6,013,017
Subtotal--Excess Weight 43.8% 18,247,398
Inactive 45.2% 19,041,951
2031 (1% Reduction)
% Population # Individuals
with RF with RF
Males
Smokers
Light 6.3% 1,305,506
Moderate 4.6% 950,121
Heavy 5.0% 1,033,028
Subtotal--Male Smokers 15.8% 3,288,655
Excess Weight
Overweight 31.7% 6,605,100
Obese 12.9% 2,679,466
Subtotal--Male Excess Weight 44.5% 9,284,567
Inactive 34.5% 7,183,620
Subtotal
Females
Smokers
Light 5.3% 1,124,630
Moderate 3.8% 816,662
Heavy 2.4% 501,892
Subtotal--Female Smokers 11.5% 2,443,184
Excess Weight
Overweight 21.9% 4,556,455
Obesity 10.9% 2,271,475
Subtotal--Female Excess Weight 32.8% 6,827,931
Inactive 40.4% 8,585,838
Both Sexes
Smokers
Light 5.8% 2,430,136
Moderate 4.2% 1,766,783
Heavy 3.6% 1,534,920
Subtotal--Smokers 13.6% 5,731,839
Excess Weight
Overweight 26.8% 11,161,556
Obesity 11.9% 4,950,942
Subtotal--Excess Weight 38.7% 16,112,497
Inactive 37.5% 15,769,458
Table 4. Projected economic burden of smoking, excess weight and
physical inactivity, Canada, 2012 compared with 2031 (no change)
& 2031 (1% reduction), 2012 constant dollars
2012
Total Total Total
direct indirect cost of
cost of cost of RF (MS's)
RF (MS's) RF (MS's)
Males
Smokers
Light $1,100 $2,294 $3,394
Moderate $1,311 $2,735 $4,046
Heavy $1,805 $3,707 $5,512
Subtotal--Male Smokers $4,216 $8,736 $12,952
Excess Weight
Overweight $945 $2,827 $3,772
Obese $1,567 $3,838 $5,406
Subtotal--Male Excess Weight $2,513 $6,665 $9,178
Inactive $1,397 $3,020 $4,417
Subtotal $8,125 $18,422 $26,547
Females
Smokers
Light $836 $1,676 $2,512
Moderate $992 $2,009 $3,002
Heavy $930 $1,891 $2,822
Subtotal--Female Smokers $2,759 $5,577 $8,336
Excess Weight
Overweight $1,020 $2,730 $3,750
Obesity $1,901 $4,209 $6,109
Subtotal--Female Excess Weight $2,921 $6,939 $9,859
Inactive $1,603 $3,968 $5,571
Subtotal $7,282 $16,484 $23,766
Both Sexes
Smokers
Light $1,936 $3,970 $5,906
Moderate $2,303 $4,744 $7,048
Heavy $2,735 $5,599 $8,334
Subtotal--Smokers $6,974 $14,313 $21,288
Excess Weight
Overweight $1,965 $5,557 $7,522
Obesity $3,468 $8,047 $11,515
Subtotal--Excess Weight $5,433 $13,604 $19,037
Inactive $3,000 $6,988 $9,988
Total $15,408 $34,906 $50,313
2031 (No Change)
Total Total Total
direct indirect cost of
cost of cost of RF (MS's)
RF (MS's) RF (MS's)
Males
Smokers
Light $1,222 $2,548 $3,770
Moderate $1,483 $3,094 $4,577
Heavy $2,019 $4,148 $6,168
Subtotal--Male Smokers $4,724 $9,790 $14,515
Excess Weight
Overweight $1,142 $3,416 $4,558
Obese $1,842 $4,510 $6,352
Subtotal--Male Excess Weight $2,984 $7,926 $10,910
Inactive $1,696 $3,669 $5,365
Subtotal $9,405 $21,385 $30,789
Females
Smokers
Light $935 $1,875 $2,810
Moderate $1,138 $2,303 $3,441
Heavy $1,071 $2,177 $3,248
Subtotal--Female Smokers $3,144 $6,356 $9,499
Excess Weight
Overweight $1,261 $3,374 $4,634
Obesity $2,318 $5,132 $7,450
Subtotal--Female Excess Weight $3,578 $8,506 $12,084
Inactive $1,975 $4,888 $6,862
Subtotal $8,697 $19,749 $28,446
Both Sexes
Smokers
Light $2,157 $4,423 $6,580
Moderate $2,621 $5,397 $8,018
Heavy $3,090 $6,325 $9,416
Subtotal--Smokers $7,868 $16,146 $24,014
Excess Weight
Overweight $2,403 $6,790 $9,193
Obesity $4,159 $9,642 $13,801
Subtotal--Excess Weight $6,562 $16,432 $22,994
Inactive $3,671 $8,556 $12,227
Total $18,101 $41,134 $59,235
2031 (1% Reduction)
Total Total Total
direct indirect cost of
cost of cost of RF (MS's)
RF (MS's) RF (MS's)
Males
Smokers
Light $1,058 $2,211 $3,269
Moderate $1,285 $2,686 $3,971
Heavy $1,746 $3,596 $5,342
Subtotal--Male Smokers $4,089 $8,493 $12,582
Excess Weight
Overweight $1,033 $3,088 $4,121
Obese $1,514 $3,708 $5,222
Subtotal--Male Excess Weight $2,547 $6,796 $9,343
Inactive $1,403 $3,035 $4,438
Subtotal $8,039 $18,324 $26,363
Females
Smokers
Light $814 $1,634 $2,448
Moderate $992 $2,010 $3,002
Heavy $934 $1,901 $2,835
Subtotal--Female Smokers $2,740 $5,544 $8,285
Excess Weight
Overweight $1,166 $3,120 $4,285
Obesity $1,912 $4,233 $6,144
Subtotal--Female Excess Weight $3,077 $7,352 $10,429
Inactive $1,637 $4,051 $5,688
Subtotal $7,454 $16,948 $24,402
Both Sexes
Smokers
Light $1,872 $3,845 $5,717
Moderate $2,277 $4,696 $6,973
Heavy $2,681 $5,496 $8,177
Subtotal--Smokers $6,829 $14,038 $20,867
Excess Weight
Overweight $2,198 $6,208 $8,406
Obesity $3,426 $7,941 $11,367
Subtotal--Excess Weight $5,624 $14,148 $19,772
Inactive $3,040 $7,086 $10,126
Total $15,493 $35,272 $50,765
RF = Risk factor.
Table 5. Estimated total economic burden for multifactorial system,
and disaggregated costs by RF, Canada, 2012, by sex, sensitivity
analysis ($Millions)
Best Low Variance
Estimate Estimate
of RR of RR
Males
Smokers
Light $3,394 $3,014 -$380
Moderate $4,046 $3,908 -$138
Heavy $5,512 $5,259 -$253
Subtotal--Male Smokers $12,952 $12,181 -$771
Excess Weight
Overweight $3,772 $2,718 -$1,054
Obese $5,406 $3,919 -$1,487
Subtotal--Male Excess Weight $9,178 $6,638 -$2,541
Inactive $4,417 $3,504 -$913
Subtotal $26,547 $22,323 ($4,224)
Females
Smokers
Light $2,512 $2,234 -$278
Moderate $3,002 $2,874 -$128
Heavy $2,822 $2,677 -$145
Subtotal--Female Smokers $8,336 $7,785 -$551
Excess Weight
Overweight $3,750 $2,686 -$1,064
Obesity $6,109 $4,520 -$1,589
Subtotal--Female Excess Weight $9,859 $7,206 -$2,653
Inactive $5,571 $4,312 -$1,260
Subtotal $23,766 $19,303 ($4,463)
Both Sexes
Smokers
Light $5,906 $5,248 -$658
Moderate $7,048 $6,782 -$265
Heavy $8,334 $7,936 -$398
Subtotal--Smokers $21,288 $19,966 -$1,321
Excess Weight
Overweight $7,522 $5,405 -$2,117
Obesity $11,515 $8,439 -$3,076
Subtotal--Excess Weight $19,037 $13,844 -$5,193
Inactive $9,988 $7,816 -$2,172
Total $50,313 $41,626 ($8,687)
% Var. High
Estimate
of RR
Males
Smokers
Light -11.2% $3,770
Moderate -3.4% $4,177
Heavy -4.6% $5,762
Subtotal--Male Smokers -5.9% $13,710
Excess Weight
Overweight -27.9% $4,671
Obese -27.5% $6,850
Subtotal--Male Excess Weight -27.7% $11,521
Inactive -20.7% $5,309
Subtotal -15.9% $30,540
Females
Smokers
Light -11.1% $2,794
Moderate -4.3% $3,129
Heavy -5.1% $2,975
Subtotal--Female Smokers -6.6% $8,899
Excess Weight
Overweight -28.4% $4,757
Obesity -26.0% $7,766
Subtotal--Female Excess Weight -26.9% $12,524
Inactive -22.6% $6,735
Subtotal -18.8% $28,158
Both Sexes
Smokers
Light -11.1% $6,564
Moderate -3.8% $7,307
Heavy -4.8% $8,738
Subtotal--Smokers -6.2% $22,609
Excess Weight
Overweight -28.1% $9,428
Obesity -26.7% $14,617
Subtotal--Excess Weight -27.3% $24,045
Inactive -21.7% $12,045
Total -17.3% $58,698
Variance % Var.
Males
Smokers
Light $376 11.1%
Moderate $131 3.2%
Heavy $250 4.5%
Subtotal--Male Smokers $758 5.8%
Excess Weight
Overweight $898 23.8%
Obese $1,445 26.7%
Subtotal--Male Excess Weight $2,343 25.5%
Inactive $892 20.2%
Subtotal $3,993 15.0%
Females
Smokers
Light $282 11.2%
Moderate $128 4.3%
Heavy $154 5.4%
Subtotal--Female Smokers $563 6.8%
Excess Weight
Overweight $1,008 26.9%
Obesity $1,657 27.1%
Subtotal--Female Excess Weight $2,665 27.0%
Inactive $1,164 20.9%
Subtotal $4,392 18.5%
Both Sexes
Smokers
Light $658 11.1%
Moderate $259 3.7%
Heavy $404 4.8%
Subtotal--Smokers $1,321 6.2%
Excess Weight
Overweight $1,906 25.3%
Obesity $3,101 26.9%
Subtotal--Excess Weight $5,007 26.3%
Inactive $2,057 20.6%
Total $8,385 16.7%
RF = Risk factor; RR = Relative risk.
Figure 2. Estimated direct and indirect economic burden of
smoking, excess weight and physical inactivity, Canada, 2012
($000,000), adjusted for multiple risk factors in one individual
Smoking Excess Weight Physical
Inactivity
Indirect - S-T Disability $1,963 $762 $243
Indirect - L-T Disability $2,655 $7,349 $2,942
Indirect - Mortality $9,695 $5,493 $3,803
Direct Cost $6,974 $5,433 $3,000
S-T = Short-term; L-T = Long-term.
Figure 3. Estimated direct and indirect economic burden of
smoking, excess weight and physical inactivity by disease
category, Canada, 2012 ($000,000), adjusted for multiple
risk factors in one individual
Cancers Cardiovascular Respiratory
Diseases Diseases
Indirect - S-T Disability $119 $288 $1,896
Indirect - L-T Disability $657 $3,587 $766
Indirect - Mortality $7,257 $9,391 $1,281
Direct Cost $1,751 $7,761 $2,692
Diabetes Musculoskeletal Other
Diseases
Indirect - S-T Disability $48 $573 $45
Indirect - L-T Disability $759 $7,145 $31
Indirect - Mortality $942 $71 $50
Direct Cost $1,474 $1,502 $228
S-T = Short-term; L-T = Long-term.