Estimates of smoking-attributable mortality and hospitalization in BC, 2002-2007.
Tu, Andrew W. ; Buxton, Jane A. ; Stockwell, Tim 等
Tobacco use is a growing worldwide epidemic; it is estimated that
tobacco use will kill over 8 million people annually by 2030. (1,2)
Today, it is a risk factor of six of the eight leading causes of death
worldwide and is estimated to cause 1 in 10 deaths. (1) In Canada,
results from the Canadian Tobacco Use Monitoring Survey (CTUMS) have
shown a decline in the prevalence of current smokers from 25% in 1999 to
18% in 2008. (3) However, this decline varied by region, age group, and
sex. It is unclear how this trend has affected the burden of smoking on
mortality and morbidity.
A number of countries, including Canada, have used attributable
fractions (AFs) to estimate the number of deaths caused by smoking, more
often referred to as smoking-attributable mortality (SAM). (4-9) AFs
describe the fraction of deaths an exposure is responsible for or
alternatively, the proportion of disease that would not occur if the
exposure were removed. Some of these countries have extended this
methodology to hospitalization data to estimate smoking-attributable
hospitalization (SAH). (4,8,10) The Cost of Substance Abuse in Canada
report (CSAC) estimated that smoking was responsible for over 37
thousand deaths and 339 thousand hospitalizations in 2002 (estimates for
British Columbia: SAM 4,616; SAH 34,501). (4) In comparison, it was
estimated that alcohol was responsible for over 4 thousand deaths and
almost 200 thousand hospitalizations, and illicit drug use accounted for
1,700 deaths and over 60 thousand hospitalizations.
In British Columbia (BC), a comprehensive substance use monitoring
project (www.aodmonitoring.ca) is being undertaken with the goal of
building a system to provide timely data on risky patterns of substance
use and related harms as a means of supporting more effective
policy-making, facilitating research on substance use and informing
public debate. (11) One component of the project is tracking alcohol-,
drug-, and smoking-attributable mortality and hospitalization. This
component is currently using the AFs that were used in the CSAC report.
This allows for estimates by health region, age, gender, and disease
condition.
Given that the AFs used in the CSAC report were based on 2003
smoking prevalence estimates of the Canadian population (4) (current
smoker prevalence = 23%), the availability of annual BC smoking
prevalence from the Canadian Tobacco Use Monitoring Survey (CTUMS)
presents an opportunity to more accurately estimate SAM and SAH in BC.
BC has the lowest prevalence of current smokers among all provinces in
Canada, so use of the Canadian prevalence would likely overestimate SAM
and SAH. In addition, using a static set of AFs to estimate SAM and SAH
over time does not take into account changes in prevalence over time.
The prevalence of current smokers in BC has decreased from 20% in 2000
to 14% in 2007. (3)
Using current smoking data for BC, the objectives of this study are
to:
1) adjust the AFs used in the CSAC report for each year of BC
smoking prevalence data from 2002 to 2007;
2) apply the adjusted AFs to the respective annual BC mortality and
hospitalization data to calculate the number of SAM and SAH;
3) and calculate standardized rates of SAM and SAH by gender,
health region and disease category.
METHODS
Data sources
Mortality and Hospital Data
Mortality and hospital data by 5-year age group, sex, geographic
health region, and ICD-10 code were obtained from BC Vital Statistics
and the BC Ministry of Health, respectively, for 2002-2007.
Attributable Fractions and Calculation of SAM
Smoking AFs for chronic diseases were calculated using the formula:
AF= [[[summation].sup.k.sub.i=1]
[P.sub.i]([RR.sub.i]-1)]/[[summation].sup.k.sub.i=0]
[P.sub.i]([RR.sub.i]-1) + 1]
Where:
k = total levels of exposure
i = exposure category with baseline exposure or no exposure i=0
RR(i) = relative risk at exposure level i compared to no
consumption
P(i) = prevalence of the ith category of exposure.
AFs were calculated by age groups and sex. The age- and
sex-specific AFs were then multiplied with the mortality and
hospitalization data to estimate SAM and SAH.
The AF for fire injury was calculated using direct estimates of
smoking involvement. (12) This number was used for all estimates.
Prevalence of Smoking
BC smoking prevalence was taken from Canadian Tobacco Use
Monitoring Survey (CTUMS) by gender and age groups. In BC, about 2,000
adults 15 years of age and older were sampled per year from 1999
onwards. The sample was weighted prior to calculating prevalence.
Because of the low number of survey participants in the higher age
groups, a 3-year moving average was calculated for 2002 to 2007 (e.g.,
to calculate the smoking prevalence in 2002, the weighted average of the
2001, 2002, and 2003 smoking prevalence was used). Categories of smoking
prevalence included current, former and never-smokers. Current smoker
was further broken down into occasional smoking or daily smoking
categories. Detailed smoking definitions can be found in the CSAC
report.
[FIGURE 1 OMITTED]
Relative Risks
Relative risks were taken from the CSAC report. Briefly, a list of
causal health conditions attributable to smoking was compiled (Table 1).
A comprehensive search of meta-analyses was performed for each disease
category and its risk relationship with smoking. Where possible, the
most detailed dose-response relative risks were used.
Rate Calculation
Rates were age- and sex-standardized using the direct method and
the 2001 age 15 and over BC population as the standard.
RESULTS
Among active smoking adults 15 years of age and older, there were
an estimated 4,851 deaths and 25,314 hospitalizations attributed to
smoking in BC in 2007 (Tables 2 and 3). Males accounted for over 60% of
those deaths and hospitalizations. In 2007, 15.6% of all deaths and 3.4%
of all hospitalizations in BC were attributed to smoking.
The mortality rates attributable to smoking have hovered around 120
deaths per 100,000 adults over the six-year period from 2002-2007. In
the most recent two years of that period, the rates have dropped below
that benchmark. From 2002 to 2005, hospitalization rates attributable to
smoking increased from 640 to 663 hospitalizations per 100,000,
respectively; but like mortality, SAH declined in the subsequent two
years to 632 per 100,000 in 2007.
Geographically, the Northern health authority (HA) has consistently
held the highest rates of SAM and SAH over the course of the study
period, while Vancouver Coastal HA had the lowest. With the largest
population, Fraser HA has the largest number of SAM and SAH, with about
5 times more deaths and 4 times more hospitalizations than the Northern
HA. Figure 1 displays the SAM and SAH rates by BC health services
delivery area (HSDA) in 2006. The areas of high SAM rates generally
correspond with areas of high SAH rates. The metro areas of Vancouver
and Victoria have among the lowest rates of SAM and SAH.
Almost half of the deaths in 2007 were from cancer (47.8%), with
lung cancer accounting for 75% of all smoking-related cancer deaths.
Mortality rates by condition can be found in Table 1. Respiratory
diseases accounted for 26.6% and cardiovascular disease accounted for
24.8% of smoking-related deaths. The top causes of SAM in 2007 were lung
cancer (1,727 deaths), chronic obstructive pulmonary disease (COPD)
(1,079), ischemic heart disease (526), and cerebrovascular disease
(312). Together, these conditions accounted for 75% of all SAM.
In 2007, smoking caused 263 cardiovascular, 194 respiratory, and
146 cancer hospitalizations per 100,000 adults (Table 1). COPD, ischemic
heart disease, bladder cancer, lung cancer and cardiac arrhythmia were
the top five causes of SAH, accounting for 70% of all SAH.
DISCUSSION
Despite the decrease of current smokers from 2002 to 2007 in BC,
the harms associated with tobacco smoking have not shown the same
dramatic decrease. In fact, only since 2006 have there been signs that
the rates of SAM and SAH have started to decrease. This is likely due to
the latency between smoking and health outcome. (13) In Canada, smoking
prevalence has declined since the late 1960s; however, lung cancer rates
did not start declining until about 1990. (14) The timeframe of this
study is too short to determine which stage of the epidemic curve BC is
currently at; however, with continuous monitoring, this will become
clear over several years. Another contributing factor to the discrepancy
was the increase in the number of 'experimental' users, those
who tried a few cigarettes and then for whatever reason stopped. These
users moved from being never-smokers to former smokers, artificially
increasing their risk of smoking-related harms. A study found that
redefining former smokers as having smoked at least 100 cigarettes in a
lifetime could decrease SAM estimates by 5%. (15) It has not been
determined which definition would produce the most accurate measurement.
In comparison with the SAM estimates produced by BC Vital
Statistics in their annual reports, (16) our SAM estimates were 21-26%
lower each year over the six-year period for the same age range. The
relative risks used by BC Vital Statistics were taken from the American
Cancer Society's Cancer Prevention Study II (CPS II). The CPS II
has been criticized for not having a nationally representative sample
and for not adjusting for potential confounding factors. (17,18) Studies
that estimated SAM using relative risks derived from a more
representative US sample found that their estimates were between 16% and
40% lower than those derived from using the CPS II. (17) Our estimates
are also based on more detailed exposure and relative risk
categorization.
There were considerable differences in SAM and SAH rates between
health regions in BC, with the Northern HA having over 40% more deaths
and 70% more hospitalizations than Vancouver Coastal HA. Northern HA has
the highest prevalence of current smokers compared with the other HAs.
(19) The high rates in Northern HA are not confined to one HSDA, nor are
the low rates in Vancouver Coastal HA. Thompson Cariboo Shuswap HSDA of
Interior HA and Fraser East of Fraser HA both have noticeably higher SAM
and SAH rates than the other HSDA areas in their respective region.
Limitations
Although AFs can be used to theoretically determine the number of
deaths and hospitalizations caused by smoking, there is currently no way
to determine whether these estimates hold in real life. We cannot
directly link smoking as a causal factor solely on the basis of
diagnostic codes. There are other methodological issues that can impact
SAM and SAH estimates, such as changes in exposure measurement, exposure
and relative risk categorization, or relative risk estimates. (15)
However, our methodology is consistent with past Canadian studies of the
same nature. The study does not include the harms related to second-hand
smoke (passive smokers) or to maternal smoking. Both make up a
relatively small fraction of SAM and SAH. Although AFs were adjusted
using BC smoking prevalence, there are regional variations of smoking
prevalence within BC. The SAM and SAH estimates would be an overestimate
in low smoking prevalence regions and an underestimate in high smoking
prevalence regions.
Despite potential issues with the methodology, these estimates play
an important role in public health. They inform the public of the harms
associated with smoking, help researchers identify high-risk areas and
evaluate smoking reduction programs, and provide policy-makers with
evidence of the effectiveness of policies. The methods are adaptable to
other provinces and only require administrative data. Using attributable
fractions adjusted for annual smoking prevalence to estimate SAM has
been shown to be comparable to estimates derived from physician reports
of tobacco-contributing deaths. (20)
CONCLUSION
Smoking still presents a substantial human and economic burden in
BC and in Canada. There is some indication that the recent trend is
downwards, but with the long latency period between smoking and health
outcome, long-term and ongoing follow-up is needed to see if this trend
is sustained. The presence of the BC Alcohol and Other Drug Monitoring
Project will allow for continued surveillance of emerging trends. Areas
in BC with higher rates should be targeted for appropriate tobacco
prevention and cessation programs. This methodology can be used by other
provinces to allow comparisons between provinces and to observe trends
over time by demographic and geographic characteristics.
Acknowledgements: The authors thank Kate Vallance and Gina Martin
for their work on the BC Alcohol and Other Drug Monitoring Project.
Sources of Support: This study is funded by the Alcohol and Other
Drug Monitoring Project.
Conflict of Interest: None to declare.
Received: October 25, 2011
Accepted: January 21, 2012
REFERENCES
(1.) Mathers CD, Loncar D. Projections of global mortality and
burden of disease from 2002 to 2030. PLoS Med 2006;3(11):e442.
(2.) Murray CJ, Lopez AD. Alternative projections of mortality and
disability by cause 1990-2020: Global Burden of Disease Study. Lancet
1997;349(9064):1498-504.
(3.) Health Canada. Canadian Tobacco Use Monitoring Survey.
Available at http://www.hc-sc.gc.ca/hc-ps/tobac-tabac/research-recherche/stat/ index-eng.php (Accessed October 20, 2011).
(4.) Rehm J, Baliunas D, Brochu S, Fischer B, Gnam W, Patra J, et
al. The cost of substance abuse in Canada 2002. Ottawa, ON: Canadian
Centre on Substance Abuse, 2006.
(5.) Groenewald P, Vos T, Norman R, Laubscher R, van Walbeek C,
Saloojee Y, et al. Estimating the burden of disease attributable to
smoking in South Africa in 2000. S Afr Med J 2007;97(8 Pt 2):674-81.
(6.) Wen CP, Tsai SP, Chen CJ, Cheng TY, Tsai MC, Levy DT. Smoking
attributable mortality for Taiwan and its projection to 2020 under
different smoking scenarios. Tob Control 2005;14(Suppl 1):i76-i80.
(7.) Zorrilla-Torras B, Garcia-Marin N, Galan-Labaca I,
Gandarillas-Grande A. Smoking attributable mortality in the community of
Madrid: 1992-1998. Eur J Public Health 2005;15(1):43-50.
(8.) English DR, Holman CDJ, Milne E, Winter MJ, Hulse GK, Codde
JP, et al. The quantification of drug caused morbidity and mortality in
Australia 1995. Canberra, Australia: Commonwealth Department of Human
Services and Health, 1995.
(9.) State-specific smoking-attributable mortality and years of
potential life lost--United States, 2000-2004. MMWR Morb Mortal Wkly Rep
2009;58(2):29-33.
(10.) Rodriguez TR, Bueno CA, Pueyos SA, Espigares GM, Martinez
Gonzalez MA, Galvez VR. [Morbidity, mortality and the potential years of
life lost attributable to tobacco]. Med Clin (Barc) 1997;108(4):121-27.
(11.) Stockwell T, Buxton J, Duff C, Marsh D, Macdonald S, Michelow
W, et al. The British Columbia Alcohol and Other Drug Monitoring System:
Overview and early progress. Contemporary Drug Problems
2009;36(3-4):459-84.
(12.) Kashaninia Z. Fire deaths in British Columbia, 1986 to 1998.
Victoria, BC: British Columbia Vital Statistics, 1999.
(13.) Lopez AD, Collishaw NE, Piha T. A descriptive model of the
cigarette epidemic in developed countries. Tob Control 1994;3:242-47.
(14.) National Cancer Institute of Canada. Canadian Cancer
Statistics 1991. Toronto, ON: NCIC, 1991.
(15.) Tanuseputro P, Manuel DG, Schultz SE, Johansen H, Mustard CA.
Improving population attributable fraction methods: Examining
smoking-attributable mortality for 87 geographic regions in Canada. Am J
Epidemiol 2005;161(8):787-98.
(16.) British Columbia Vital Statistics Agency. Selected vital
statistics and health status indicators: One hundred and thirty-sixth
annual report 2007. Victoria, BC: British Columbia Vital Statistics
Agency, 2007.
(17.) Malarcher AM, Schulman J, Epstein LA, Thun MJ, Mowery P,
Pierce B, et al. Methodological issues in estimating
smoking-attributable mortality in the United States. Am J Epidemiol
2000;152(6):573-84.
(18.) Sterling TD, Rosenbaum WL, Weinkam JJ. Risk attribution and
tobacco related deaths. Am J Epidemiol 1993;138(2):128-39.
(19.) Ipsos Reid, BC Ministry of Health. Smoking prevalence in
British Columbia: Final Report. Victoria, BC: BC Ministry of Health,
2003.
(20.) Thomas AR, Hedberg K, Fleming DW. Comparison of physician
based reporting of tobacco attributable deaths and computer derived
estimates of smoking attributable deaths, Oregon, 1989 to 1996. Tob
Control 2001;10(2):161-64.
Andrew W. Tu, MSc, [1] Jane A. Buxton, MBBS, [1] Tim Stockwell, PhD
[2]
Author Affiliations
[1.] British Columbia Centre for Disease Control, Vancouver, BC
[2.] Centre for Addictions Research of BC, University of Victoria,
Victoria, BC
Correspondence: Andrew Tu, British Columbia Centre for Disease
Control, 655 West 12th Ave., Vancouver, BC V5Z 4R4, Tel: 604-707-2557,
Fax: 604-707-2516, E-mail:
[email protected]
Table 1. Health Conditions and the Corresponding ICD-10 Codes
Attributable to Smoking
Condition
2007 2007
Mortality Hospitalization
ICD-10 Rates * Rates *
Active Smoking
Malignant neoplasms 56.5 146.2
Oropharyngeal C00-C14, D00.0 2.1 6.8
cancer
Oesophageal cancer C15, D00.1 2.8 5.7
Stomach cancer C16, D00.2 0.7 2.2
Pancreatic cancer C25, D01.9 1.8 2.2
Laryngeal cancer C32, D02.0 0.7 3.4
Trachea, bronchus C33, C34 42.3 52.8
and lung cancers
Cervical cancer C53, D06 0.4 7.5
Urinary tract C64-C68 0.3 2.0
cancer
Renal cell C64 0.7 2.2
carcinoma
Bladder cancer C67, D09.0 4.2 60.2
Acute myeloid C92.0 0.5 1.3
leukaemia
Cardiovascular 29.9 263.1
diseases
Ischaemic heart I20-I25 12.8 125.7
disease
Pulmonary I26-I28 2.2 22.2
circulatory disease
Cardiac I47-I49 1.0 36.1
arrhythmias
Heart failure; I50-I51 1.7 19.0
complications and
ill-defined
descriptions of
heart disease
Cerebrovascular I60-I69 8.0 27.3
diseases
Atherosclerosis I70-I79 4.3 32.8
Respiratory diseases 31.3 194.1
Pneumonia and J10-J18 5.1 27.1
influenza
Chronic J40-J44 26.2 167.0
obstructive
pulmonary disease
Other diseases 0.9 29.3
Mental and F17 0.1 0
behavioural
disorders due to
use of tobacco
Toxic effects of T65.2 0 0
tobacco
Ulcers K25-K28 0.6 28.4
Fires X00-X09 0.2 0.9
Total 118.7 632.8
* Rates per 100,000 adults age 15+; numbers may not add up due to
rounding.
Table 2. Smoking-attributable Mortality Rates (per 100,000),
2002-2007, and Smoking-attributable Mortality, 2007 for BC
Population Age 15+
Mortality Rate (per 100,000)
2002 2003 2004 2005 2006 2007
Sex *
Male 152 152 149 147 142 146
Female 94 92 98 95 90 95
Health Authority ([dagger])
Interior 129 134 140 130 120 128
Fraser 116 121 123 122 115 119
Vancouver Coastal 110 104 102 105 100 99
Vancouver Island 127 117 122 120 115 122
Northern 164 149 151 135 155 163
British Columbia ([dagger]) 121 120 122 120 114 119
Smoking-attributable
Mortality, 2007.
([double dagger])
Sex *
Male 2948
Female 1903
Health Authority ([dagger])
Interior 1049
Fraser 1479
Vancouver Coastal 954
Vancouver Island 1052
Northern 317
British Columbia ([dagger]) 4851
* Rates are age-standardized.
([dagger]) Rates are age- and sex-standardized.
(double dagger]) Calculated using relative risks found in the Cost of
Substance Abuse in Canada, 2002 report.
Table 3. Smoking-attributable Hospitalization Rate (per 100,000),
2002-2007, and Smoking-attributable Morbidity, 2007 for BC Population
Age 15+
Hospitalization Rate (per 100,000)
2002 2003 2004 2005 2006 2007
Sex *
Male 834 855 851 863 847 819
Female 464 459 463 480 457 462
Health Authority ([dagger])
Interior 729 741 749 763 733 735
Fraser 677 689 682 693 676 675
Vancouver Coastal 499 500 513 531 519 483
Vancouver Island 609 589 584 599 566 555
Northern 872 911 901 935 922 909
British Columbia ([dagger]) 640 646 648 663 643 632
Smoking-attributable
Hospitalization,
2007 ([double dagger])
Sex *
Male 16,208
Female 9106
Health Authority ([dagger])
Interior 5735
Fraser 8450
Vancouver Coastal 4575
Vancouver Island 4439
Northern 1982
British Columbia ([dagger]) 25,314
* Rates are age-standardized.
([dagger]) Rates are age- and sex-standardized.
([double dagger]) Calculated using relative risks found in the Cost
of Substance Abuse in Canada, 2002 report.