Cigarette smoking and chronic low back pain in the adult population
Fahad Alkherayf MD, MBBS1,3,4
Charles Agbi MD, FRCS, FRCS Ed(SN)1,2,4
1 Division of Neurosurgery, Department of surgery, The Ottawa Hospital, Civic campus, Ottawa, ON
2 Division Spine Surgery, Department of surgery, The Ottawa Hospital, Civic campus, Ottawa, ON
3 Department of Clinical Epidemiology, University of Ottawa, Ottawa, ON
4 Division of Neurosurgery, Department of surgery, University of Ottawa, Ottawa, ON
Manuscript submitted 15th July, 2009
Manuscript accepted 5th September, 2009
Clin Invest Med 2009; 32 (5): E360-E367.
Abstract
Purpose: Chronic low back pain (LBP) is one of the main
causes of disability in the community. Although there have been studies
suggesting an association between smoking and LBP, these studies were limited
by the small numbers of patients, and they did not control for confounders. The
objective of this study was to determine whether cigarette smoking is
associated with an increased risk of chronic LBP among adults.
Methods: Using Canadian Community Health Survey (cycle
3.1) data, 73,507 Canadians aged 20 to 59 yr were identified. Self-reported
chronic LBP status, smoking habits, sex, age, height, weight, level of activity
and level of education were identified as well. Back pain secondary to fibromyalgia
was excluded. Multivariate logistic regression analysis was used to detect
effect modification and to adjust for covariates. Design effects associated
with complex survey design were taken into consideration.
Results: The prevalence of chronic LBP was 23.3% in
daily smokers and only 15.7% in non-smokers. Age and sex were found to be
effect modifiers (P < 0.0001), and the relationship between smoking and chronic LBP risk
was dependent on sex and age. The association between daily smoking and the
risk of chronic LBP was stronger among younger individuals. Occasional smoking
slightly increased the odds of having chronic LBP.
Conclusion: Daily smoking increases the risk of LBP among young adults, and this effect seems to be dose-dependent. Back pain treatment programs may benefit from integrating smoking habit modification. Further research is required to develop effective prevention strategies.
Low back pain (LBP) is a very common problem
among adults. Up to two-thirds of adults suffer from LBP at some time.1-3
It is estimated that, every year, between 2% to 5% of the population seeks
medical attention because of LBP.4,5 Many adults with LBP will
eventually develop Chronic LBP, which is one of the main causes of disability
in the community and has a huge economic impact.6-8 Back pain may
originate from many spinal structures, including facet joints, ligaments,
intervertebral discs, nerve roots, vertebral bodies and paravertebral muscles.
The onset of back pain most often occurs between the ages of 30 and 50 years.1,4,9
Studies have reported different risk factors for chronic LBP; these
include age, sex, genetics, education level, activities, socioeconomic status,
lifestyle and smoking.3,5,10,11 Unfortunately, most of these factors
are not easily changed by medical intervention. Nevertheless, lifestyle factors
such as smoking could be changed with some effective interventions.10,12
Animal models and biological studies support the association between
smoking and the health of intervertebral discs.13-15 In humans, some
studies have reported a possible link between cigarette smoking and chronic
LBP,16-18 while others did not.3,19 Goldberg et al.20
reviewed 38 studies that looked at the association between cigarette smoking
and the development of chronic LBP, but the results were inconsistent. This
might be because a large percentage of the studies did not account for possible
confounders, whereas the studies that accounted for confounders were heterogeneous
in their covariates. These authors also found that the most consistent
confounders were age, sex, body mass index, level of activity and level of education.
The prevalence of smoking among Canadians was recently reported to be
around 23%21 and, according to the latest reports from Health
Canada, about five million Canadians were smokers at the time of the survey.
The association between chronic LBP and smoking in the Canadian community
receives limited attention in the current literature.1,22,23
We hypothesised that there is an association between smoking and the risk of chronic LBP among adults aged 20 - 59 yr. In examining this association, we took into consideration the most likely covariates (age, sex, BMI, activity and education). We used a large sample size, which provides an opportunity to examine this association with good precision. This is the first study to assess the relationship between chronic LBP and smoking exposure among adults, based on a large sample size.
Materials and Methods
Study population
This study used data from the Canadian
Community Health Survey (CCHS) cycle 3.1.24 Conducted by Statistics
Canada in 2005, the CCHS 3.1 was a cross-sectional survey using multi-staged,
stratified random sampling procedures and targeting persons aged >12
yr who were living in privately occupied dwellings spanning 122 health regions
in the ten provinces and three territories of Canada. Individuals living on
Indian reserves, Crown Land or institutional residence, full-time members of
the Canadian armed forces and residents of certain remote regions were excluded
from the sampling frame.
The survey was conducted from January to December 2005 and had a 78.9%
national response rate, with 132,947 individuals responding. The survey
included questions related to health status, health care use and health determinants.
Interviews were conducted equally in person and over the phone. Interviewers
were trained, and computer-assisted interviewing was employed.
Participants aged 20 - 59 yr in the CCHS 3.1 database were identified.
Their exposure status and outcomes were also identified, as well as information
about possible confounders.
Exposure and Outcomes
The exposure of interest was smoking. Smoking status was determined
based on the following questions:
•
In
your lifetime, have you smoked a total of 100 or more cigarettes (about 4
packs)?
•
Have
you ever smoked a whole cigarette?
•
At
the present time, do you smoke cigarettes daily, occasionally or not at all?
•
Have
you ever smoked cigarettes daily?
Based on the answers to these questions, respondents were classified as
daily smokers (present or former), occasional smokers (present or former) or
non-smokers (Table 1).
The health outcome was chronic LBP, excluding LBP secondary to
fibromyalgia. The LBP should be diagnosed by a health care professional and
have a duration of at least six months. A dichotomous outcome variable was
created to classify individuals as either having chronic LBP or not, based on
their responses.
Participants’ age, sex, BMI, level of activity and education level were
identified and analysed. Subjects were grouped into four age groups (20-29,
30-39, 40-49 and 50-59 yr). BMI was calculated as weight (kg)/height (m).
Obesity status was then determined using the World Health Organisation (WHO)
classification whereby participants with a BMI of >30 considered
obese and those with a BMI < 30 are not. Participants were classified as
active if they participated in daily physical activity for at least 15 min. Based
on participants’ education level, two groups were identified: a higher
education group (participants who had been admitted to college or university
and those with a post-secondary school certificate or diploma) and a lower
education group (those who did not proceed beyond secondary education).
Analytical methods and strategy
Since the CCHS 3.1 involved a complex survey
design, in which selection probabilities had to be accounted for in all point
estimate- and variance-related calculations, we had to calculate the adjusted
weight. We achieve this by taking
into account the national average design effect and relative sampling weights.25
The point prevalences of chronic LBP according to smoking status, age,
sex, BMI, physical activity and level of education were calculated first. To
examine the relationship between smoking status and chronic LBP, univariate and
multivariate logistic regression analysis were used before and after adjustment
for covariates.
Using logistic regression analysis, odds ratios and their respective 95%
confidence intervals were calculated and used to express the relationship
between smoking status and chronic LBP; an odds ratio greater than one
signifies increased risk of chronic LBP compared with the referent group.
Since the relationship
between smoking status and the risk of chronic LBP may depend on participants’
age, sex or both, these covariates were assessed for effect modification by
including multiplicative interaction terms in each model.
Covariates were also assessed for potential confounding. Confounders
were identified if they resulted in a 10% change in the odds ratio for the
association. Effect modifiers, confounders and significant predictors of back
pain were included in all models. Model parameters were estimated by using the
method of maximum likelihood ratio and were tested if they were found to be statistically
significant using the Wald statistical test.
Data for the exposure, the outcome or any of the covariates were found to be missing in only 2.8% of participants. Because the percentage of participants with missing data was small, they were excluded from the analysis. All statistical analyses were conducted using the statistical software package SAS, version 9.1.26
Results
A total of 73,507 individuals were identified
and analysed (Table 2). Among
these, the overall prevalence of chronic LBP was 19.6%. About one-third of our
study population consisted of non–smokers, while 46.8% of participants were
current or former daily smokers; 51% of the participants were men, the majority
had some post-secondary education, only 16% were obese and about one-third
classified themselves as active persons.
All the included covariates had an association with the prevalence of
chronic LBP (Table 3). Obesity was associated with increased prevalence of
chronic LBP, and this increase in the prevalence was almost consistent
regardless of smoking status. As shown in Table 3, age was associated with a
consistent increase in the prevalence of chronic LBP. Individuals who had some
postsecondary education in general had less chronic LBP. Physical activity was
associated with a decreased prevalence of chronic LBP; this effect was minor.
The analysis based on individuals’ smoking status (Table 3) showed that
the prevalence of chronic LBP is different between daily smokers, occasional
smokers and non-smokers. Whereas 23.3% of daily smokers had chronic LBP, only
17.2% of occasional smokers and 15.7% of non-smokers had back pain. Daily
smokers showed an approximately 50% increase in the prevalence of chronic LBP
when compared to non–smokers, whereas occasional smokers had only a slightly
increased prevalence of chronic LBP.
Among daily smokers (Table 3), men had a slightly higher prevalence of
chronic LBP; the opposite was observed among occasional smokers and
non-smokers. We also noticed that daily smoking (Table 3) was associated with
an increased risk of chronic LBP. This association was dependent on
individuals’ age: daily smoking was associated with an approximately 80%
increase in the risk of chronic LBP among participants aged 20 to 29 years when
compared to non-smokers in the same age range, but the risk was only 24% higher
for daily smokers aged 50 - 59 yr compared with their non-smoking age
peers.
Univariate regression analyses demonstrated that smoking is a
significant predictor of lower back pain (P < 0.0001). In the multivariate analysis,
sex and age were found to be effect modifiers, BMI and education were found to
be confounders (P <
0.0001) and physical activity was found to be a marginally significant risk
factor (P = 0.054).
Multivariate analysis, which took into account the effect modifiers and
adjusted for risk factors (Table 4), demonstrated that, among men who are daily
smokers, the increase in the odds of having chronic LBP was dependent on age:
those who were aged 20 - 29 yr had an 87% (OR 1.87 with 95% CI 1.62-2.17)
increase in their odds of having chronic LBP compared with non-smokers in the
same age range, whereas the odds of daily smokers aged 30 - 39 yr increased by
only 46% (OR 1.46 with 95% CI 1.29-1.66). For older men who were daily smokers,
the increase in the odds of having chronic LBP ranged between 57% to 69% when
compared with non-smoking men in the same age range.
A similar pattern was found among women who were daily smokers (Table
4): those aged 20 - 29 yr had an 84% (OR 1.84 with 95% CI 1.60-2.11) increase
in their odds of having chronic LBP, whereas for women aged 30 - 49 yr the odds
increased by 36% (OR 1.36 with 95% CI 1.20-1.54) and for those aged 50 - 59 yr
the increase was only 17% (OR 1.17 with 95% CI 1.05-1.31), when compared with
non-smoking women in the same age range.
Occasional smokers (Table 4) did not differ much from non–smokers, and their risk of chronic LBP was still dependent on sex and age. One interesting finding was that among men who were occasional smokers, the increase in the odds of having chronic LBP was statistically significant only among those aged 40 - 59 yr when compared with non-smokers within the same age range. However, for women who were occasional smokers, the increase in the odds was statistically significant only in the younger groups (20 - 39 yr) when compared with non-smoking women in the same age range.
Discussion
In this study of more than 75,000 Canadian adults,
daily smoking was associated with increased odds of having chronic LBP; this is
consistent with the results of similar studies that were conducted in the USA.10,20
The exact mechanism behind this finding remains unclear, but there are several
theories that potentially explain it. Smoking reduces bone mineral content,
which increases the risk of osteoporosis and microfractures of the trabeculae
of the vertebral bodies, causing an increase in degenerative changes in the
spine.4, 13 Another theory is that smoking increases coughing,
leading to increased intradiscal and intra-abdominal pressure, predisposing patients
to disc herniation.27 Other theories focus on the fact that smoking
causes a reduction in blood flow to the discs and vertebral bodies, which in
turn affects the metabolic balance of the discs, leading to disc degeneration
that accelerates spinal degenerative processes and makes the spine more
susceptible to mechanical deformity and injury.28
We found that the relationship between smoking and the risk of chronic
LBP was dependent on the sex and age of the participants. This association is
receiving limited attention in the current literature.29 The
association was examined using multivariate analysis in which sex and age were
found to be effect modifiers.
The effect of smoking was
more obvious among daily-smoking men than in women. This observation may be related
to the fact that men who are daily smokers tend to smoke more heavily than
women and the observed dose-response relationship between smoking and back
pain. Deyo and Bass,30 in their study of the influence of smoking on
back pain, found that the prevalence of chronic LBP increased with increased
pack-years of cigarette smoking. Another theory is that this finding may be
related to hormonal differences; this theory should be studied in more detail.
Among daily smokers, the association between daily smoking and the risk
of chronic LBP was stronger in younger individuals, a finding that is
consistent with those of other studies.23, 30 This may reflect the
multifactor aetiology of chronic LBP. Since in younger individuals there are
few other risk factors for chronic LBP, daily smoking could be a major
initiating event, whereas in older individuals many other aetiologic factors
may be operating (e.g., degenerative spine changes, spinal stenosis, cumulative
trauma, tumours);5 thus, daily smoking alone would be a relatively
less important risk factor in older individuals. The appearance of many other
factors for chronic LBP with aging could explain the finding that, as age
increases, the prevalence of chronic LBP increases even among non-smokers.
There was a tendency for occasional smokers to have a lower odds ratio
of chronic LBP than daily smokers. It is not clear whether this constitutes a
sign of causality or whether it means that occasional smokers have a reduced
prevalence of chronic LBP for some other reason. This finding was also observed
in other studies.22,29 Since daily smokers tend to smoke more cigarettes
than occasional smokers, the dose-response relationship may actually explain
this finding. Deyo and Bass30 found that the prevalence of chronic
LBP increased with increased pack-years of cigarette smoking.
We found that occasional smoking increased the odds of chronic LBP among
women aged 20 - 39 yr but not in men in the same age range. This finding was
similar to what was observed in a prospective cohort study of adolescents.11
We do not think that there is a difference in the biological effects of smoking
between the two genders. One explanation is that women may report a higher
prevalence of chronic LBP due to their monthly period. Another explanation
could be that men misreport their smoking status.
Another interesting finding is that occasional smoking was associated
with an increase in the odds of chronic LBP in men aged 40 - 59 yr but not in women of the same age. Such
a finding has never been reported before. This finding could be related to the
variation in smoking consumption between the two groups; it should be addressed
in future studies before making a definitive conclusion.
Our study demonstrates that the overall point prevalence of back pain is
19.6% and this finding is consistent with the current literature.3,10,12
In our study, 46.7% of participants were classified as current or former
smokers. This high percentage is not surprising, knowing that smoking
prevalence was very high in previous decades. For example, the prevalence of
smoking among Canadians was 35% in 1990.21
Our study showed that obesity is associated with an increased prevalence
of chronic LBP, a finding similar to those previously reported.4,30
Obesity increases the load on the lumber spine, which in turn increases the
risk of degenerative changes to the spine, causing chronic LBP. We should keep
in mind that this association could be confounded by other unmeasured lifestyle
differences between obese and non-obese individuals.
There are few limitations to this study. Because it is a cross-sectional
study, the data did not provide information on whether or not smoking preceded
the development of chronic LBP. However, there is growing evidence supporting
the hypothesis that smoking actually causes chronic back pain.11,16
It is possible that our results were affected by recall bias. Given that
surveys were conducted by interview and also considering the size of our
sample, recall bias was less likely to have a significant impact on our
results. This study is based on self-reported data, which makes it vulnerable
to misclassification bias. In this case, smoking status misclassification would
most likely result in shifting some non-smokers or occasional smokers to the
daily smoker category, a misclassification that would shift the results towards
the null hypothesis. Thus, the finding that daily smoking increases the odds of
chronic LBP may actually underestimate the real effect of smoking.
In summary, this study demonstrates that smoking is associated with an increased risk of chronic LBP among adults; this risk was modified by age and sex. Also, this study suggests a positive relationship between smoking dose and risk of back pain. These findings suggest that smoking behaviour modification may contribute to reducing back pain in the adult population.
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Correspondence to:
Dr. Fahad Alkherayf
The Ottawa Hospital, Civic Campus/Neuroscience C2
1053 Carling Ave, Ottawa ON, K1Y 4E9
E-mail: Alkherayf@hotmail.com
|
TABLE 1. Smoking status classification |
|
|
Smoking Status |
Answers
|
|
Daily smoker (present or former) |
Q3 (Daily), Q3 (Occasionally) and Q4 (Yes), Q3 (Not at all)
and Q4 (Yes). |
|
Occasional smoker (present or former) |
Q3 (Occasionally) and Q4 (No), Q3 (Occasionally) and Q4
(No) and Q1 (Yes) or Q2 (Yes). |
|
Non-smoker |
Q3 (Not at all) and Q1, Q2, Q4 (No). |
|
TABLE 2. Characteristics of the study
population |
||
|
Characteristic |
No. |
%* |
|
Chronic Low back pain |
15,372 |
19.6 |
|
Smoking Status Daily smoker (present or former) Occasional smoker (present or former) Non-smoker |
37,905 13,160 22,442 |
46.7 18.9 34.4 |
|
Sex Male Female |
35,242 38,265 |
51.0 49.0 |
|
Age (Yr) 20-29 30-39 40-49 50-59 |
15,582 18,812 19,221 19,892 |
23.6 23.6 29.5 23.33 |
|
BMI Not obese Obese |
59,817 13,690 |
84.0 16.0 |
|
Education Secondary education or less Post-secondary education |
21,359 52,148 |
16.0 84.0 |
|
Activity Not active Active |
46,525 26,982 |
64.2 35.8 |
|
* Weighted to the Canadian population |
||
|
TABLE 3. Prevalence of chronic back pain
associated with smoking, age, sex, BMI, educational level and activity status |
|||||||||||||||||
|
|
Daily smokers (present or former) |
Occasional smokers (present or former) |
Non-smokers |
||||||||||||||
|
No. |
Cases |
%* |
No. |
Cases |
%* |
No. |
Cases |
%* |
|||||||||
|
Total |
37,905 |
9,199 |
23.3 |
13,160 |
2,392 |
17.2 |
22,442 |
3,760 |
15.7 |
||||||||
|
Sex Male Female |
19,108 18,797 |
4,653 4,546 |
23.8 22.7 |
6,511 6,649 |
1,144 1,248 |
16.2 18.2 |
9,634 12,808 |
1,507 2,253 |
14.7 16.7 |
||||||||
|
BMI Not obese Obese |
30,442 7,463 |
7,128 2,071 |
22.5 27.1 |
10,936 2,224 |
1,872 520 |
16.1 23.6 |
18,470 3,972 |
2,902 858 |
15.0 20.2 |
||||||||
|
Age (yr) 20-29 30-39 40-49 50-59 |
6,826 8,323 10,838 11,918 |
1,296 1,766 2,793 3,344 |
18.1 20.9 25.3 26.4 |
3,087 3,789 3,240 3,044 |
342 612 698 740 |
11.8 15.9 19.7 22.5 |
5,673 6,697 5,145 4,927 |
624 1,046 991 1,099 |
10.4 15.2 18.0 21.2 |
||||||||
|
Education Secondary education or less Post-secondary education |
13,479 24,426 |
3,439 5,760 |
24.8 22.6 |
2,861 10,299 |
568 1,824 |
18.0 17.0 |
5,004 17,348 |
940 2,820 |
18.2 15.1 |
||||||||
|
Activity Not active Active |
37,905 13,382 |
6,120 3,079 |
23.8 22.5 |
8,108 5,052 |
1,506 886 |
17.5 16.6 |
13,901 8,541 |
2,410 1,350 |
16.3 14.8 |
||||||||
|
* Weighted to the Canadian population |
|||||||||||||||||
|
TABLE 4. Unadjusted and adjusted (sex and
age) ORs and 95% CIs for chronic back pain in relation to smoking |
|||||||||||||||||
|
|
Daily smokers (present or former) |
Occasional smokers (present or former) |
|||||||||||||||
|
Unadjusted |
Adjusted* |
Unadjusted |
Adjusted* |
||||||||||||||
|
OR |
95% CI |
OR |
95% CI |
OR |
95% CI |
OR |
95% CI |
||||||||||
|
Men
Age (yr) 20-29 30-39 40-49 50-59 |
1.86 1.5 1.58 1.53 |
1.59-2.18 1.34-1.7 1.4-1.8 1.3-1.75 |
1.87 1.46 1.69 1.57 |
1.62-2.17 1.29-1.66 1.52-1.89 1.38-1.79 |
1.01 0.98 1.13 1.39 |
0.8-1.24 0.83-1.14 0.97-1.32 1.13-1.59 |
1.07 0.91 1.17 1.29 |
0.88-1.3 0.77-1.07 1.01-1.36 1.07-1.54 |
|||||||||
|
Women
Age (yr) 20-29 30-39
40-49 50-59 |
1.89 1.43 1.36 1.26 |
1.66-2.15 1.28-1.6 1.22-1.52 1.15-1.4 |
1.84 1.36 1.36 1.17 |
1.6-2.11 1.2-1.54 1.23-1.51 1.05-1.31 |
1.0 1.09 1.19 1.01 |
0.85-1.2 0.94-1.26 1.02-1.38 0.89-1.16 |
1.26 1.24 1.08 0.97 |
1.06-1.51 1.06-1.47 0.93-1.26 0.82-1.14 |
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|
* Adjusted for BMI, education and activity
status. |
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© 2007-2012 Canadian Society for Clinical Investigation.
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