PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-25 (1807296)

Clipboard (0)
None

Related Articles

1.  The Correlation Between Lipid Profile and Stress Levels in Central Iran: Isfahan Healthy Heart Program 
ARYA Atherosclerosis  2010;6(3):102-106.
BACKGROUND
Previous studies suggest that mental status may influence serum lipid levels. This study was conducted on adult population living in rural and urban areas in Central Iran to assess the correlation between stress level and lipid profile disorders.
METHODS
Data was extracted from final evaluation of Isfahan Healthy Heart Program (IHHP) in 2008. Multistage and random cluster methods were used for sampling. The study population consisted of 9752 adults aged ≥19 years living in three districts namely Isfahan, Arak and Najaf Abad. Demographic data, age and sex were recorded. Blood samples were taken to determine the lipid levels including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), low levels of high-density lipoprotein cholesterol (HDL-C) and triglycerides. Stress levels were assessed using the General Health Questionnaire. Logistic regression and chi-square tests were used for statistical analysis.
RESULTS
The odds ratios of high stress in individuals with high levels of TC, LDL-C and low levels of HDL-C compared to normal individuals after adjustment for age and sex were as follows respectively: 1.05 (1.02,1.15), 1.06 (1.02,1.18), 1.06 (1.01,1.17).
CONCLUSION
Intervention activities towards reduction of stress levels at the community level may be useful as part of the strategy for cardiovascular disease prevention.
PMCID: PMC3347824  PMID: 22577424
Cholesterol; Triglycerides; Stress; Adult
2.  The association of active and secondhand smoking with oral health in adults: Japan public health center-based study 
Tobacco Induced Diseases  2015;13(1):19.
Background
Smoking is one of the major risk factors for oral diseases, and many studies have found that active smoking is closely associated with the prevalence or severity of periodontal disease and fewer remaining teeth. In contrast to the established association between active smoking and oral health, there have been very few studies investigating the effects of secondhand smoking on oral health, and whether secondhand smoking deteriorates oral health has not been fully clarified. The purpose of the present study was to examine whether active and secondhand smoking were associated with the prevalence of severe periodontal disease and number of teeth among Japanese adults.
Methods
Subjects were 1,164 dentate adults aged 55–75 years as of May 2005 who participated in both the Japan Public Health Center-Based Study Cohort I in 1990 and a dental survey in 2005. The dental survey was implemented in the Yokote health center jurisdiction, Akita Prefecture. Participating subjects completed a self-administered questionnaire and a clinical oral examination. The association of smoking status with prevalence of periodontal disease was analyzed using a logistic regression, and with number of teeth or functional tooth units of natural teeth (n-FTUs) using a generalized linear model.
Results
After adjusting for age, education level, history of diabetes, BMI, alcohol consumption, perceived mental stress, presence of a family dentist, and oral hygiene, the odds ratio (OR) of risk for periodontal disease in male subjects was significantly increased in non-smokers with secondhand smoking only at home (OR = 3.14, 95 % CI: 1.08−9.12, p = 0.036), non-smokers with secondhand smoking both at home and other places (OR = 3.61, 95 % CI: 1.33−9.81, p = 0.012) and current smokers (OR = 3.31, 95 % CI: 1.54−7.08, p = 0.002), compared to non-smokers without secondhand smoking. Further in men, current smokers had significantly fewer numbers of teeth (19.7 ± 6.82) and n-FTUs (4.92 ± 4.12) than non-smokers without secondhand smoking (22.2 ± 6.92, p = 0.014 and 6.56 ± 4.18, p = 0.007). Such significant relationships of smoking status with periodontal disease and dentition were not observed in women.
Conclusions
The present study indicates that active smoking as well as secondhand smoking may have harmful effects on periodontal health in men. Therefore, it is imperative for health and oral health professionals to enlighten people about the negative influence of smoking, not only on their own health but also on others’ health.
doi:10.1186/s12971-015-0047-6
PMCID: PMC4518564
Active smoking; Secondhand smoking; Periodontal disease; Dentition; Functional tooth units
3.  Better view on attitudes and perceived parental reactions behind waterpipe smoking among Iranian students 
Background:
Because of the increasing usage of waterpipe globally, we need to know more about the different factors related to waterpipe and cigarette smoking. Therefore, the present study aims at gaining more insight on waterpipe and cigarette smoking based on perceived parental reaction and appeal and repellent of smoking among adolescents.
Materials and Methods:
A cross-sectional survey entitled “Isfahan Tobacco Use Prevention Program” (ITUPP) was conducted among 5,500 adolescents in Isfahan Province, Iran in 2010 using a self-administered anonymous questionnaire. Demographic factors, cigarette and waterpipe smoking status, appeal and repellent of smoking, perceived parental reactions, and the main reasons behind the increase in waterpipe smoking were measured. Chi-square, univariate logistic regression, and multiple logistic regression were used. For all analyses, we defined statistical significance a priori with a two-tailed alpha of 0.05. Statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS) version 15.
Results:
50% of the sample was female and 89% lived in urban areas. The average age of the respondents was 14.37 ± 1. 70 years. While a majority of cigarette smokers (70.9%) were waterpipe smokers, only 35.7% of waterpipe smokers smoked cigarettes. The incidence of smoking was high in those who expected less extensive parental reaction with odds ratio (OR) = 1.89 [95% confidence interval (CI): 1.35-2.63] (P < 0.001) among cigarette smokers and OR = 2.75 (95% CI: 2.16-3.50) (P < 0.001) among waterpipe smokers. “Taste” was rated the most attractive feature by waterpipe and cigarette smokers 2.83-fold (95% CI: 2.06, 3.90) (P < 0.001). Most waterpipe smokers compared to nonsmokers believed that the main reason behind waterpipe popularity was habit.
Conclusion:
The factors related to waterpipe smoking were different from those in cigarette smoking; so we need to implement different interventions to overcome the surging usage of tobacco use.
doi:10.4103/1735-1995.172812
PMCID: PMC4755088  PMID: 26941805
Adolescents; attitude; Eastern Mediterranean Region (EMR); hookah; parent reaction; parents; perception; smoking; students; waterpipe
4.  Smoking and high-risk mammographic parenchymal patterns: a case-control study 
Breast Cancer Research  1999;2(1):59-63.
Current smoking was strongly and inversely associated with high-risk patterns, after adjustment for concomitant risk factors. Relative to never smokers, current smokers were significantly less likely to have a high-risk pattern. Similar results were obtained when the analysis was confined to postmenopausal women. Past smoking was not related to the mammographic parenchymal patterns. The overall effect in postmenopausal women lost its significance when adjusted for other risk factors for P2/DY patterns that were found to be significant in the present study, although the results are still strongly suggestive. The present data indicate that adjustment for current smoking status is important when evaluating the relationship between mammographic parenchymal pattern and breast cancer risk. They also indicate that smoking is a prominent potential confounder when analyzing effects of other risk factors such as obesity-related variables. It appears that parenchymal patterns may act as an informative biomarker of the effect of cigarette smoking on breast cancer risk.
Introduction:
Overall, epidemiological studies [1,2,3,4] have reported no substantial association between cigarette smoking and the risk of breast cancer. Some studies [5,6,7] reported a significant increase of breast cancer risk among smokers. In recent studies that addressed the association between breast cancer and cigarette smoking, however, there was some suggestion of a decreased risk [8,9,10], especially among current smokers, ranging from approximately 10 to 30% [9,10]. Brunet et al [11] reported that smoking might reduce the risk of breast cancer by 44% in carriers of BRCA1 or BRCA2 gene mutations. Wolfe [12] described four different mammographic patterns created by variations in the relative amounts of fat, epithelial and connective tissue in the breast, designated N1, P1, P2 and DY. Women with either P2 or DY pattern are considered at greater risk for breast cancer than those with N1 or P1 pattern [12,13,14,15]. There are no published studies that assessed the relationship between smoking and mammographic parenchymal patterns.
Aims:
To evaluate whether mammographic parenchymal patterns as classified by Wolfe, which have been positively associated with breast cancer risk, are affected by smoking. In this case-control study, nested within the European Prospective Investigation on Cancer in Norfolk (EPIC-Norfolk) cohort [16], the association between smoking habits and mammographic parenchymal patterns are examined. The full results will be published elsewhere.
Methods:
Study subjects were members of the EPIC cohort in Norwich who also attended the prevalence screening round at the Norwich Breast Screening Centre between November 1989 and December 1997, and were free of breast cancer at that screening. Cases were defined as women with a P2/DY Wolfe's mammographic parenchymal pattern on the prevalence screen mammograms. A total of 203 women with P2/DY patterns were identified as cases and were individually matched by date of birth (within 1 year) and date of prevalence screening (within 3 months) with 203 women with N1/P1 patterns who served as control individuals.
Two views, the mediolateral and craniocaudal mammograms, of both breasts were independently reviewed by two of the authors (ES and RW) to determine the Wolfe mammographic parenchymal pattern.
Considerable information on health and lifestyle factors was available from the EPIC Health and Lifestyle Questionnaire [16]. In the present study we examined the subjects' personal history of benign breast diseases, menstrual and reproductive factors, oral contraception and hormone replacement therapy, smoking, and anthropometric information such as body mass index and waist:hip ratio.
Odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated by conditional logistic regression [17], and were adjusted for possible confounding factors.
Results:
The characteristics of the cases and controls are presented in Table 1. Cases were leaner than controls. A larger percentage of cases were nulliparous, premenopausal, current hormone replacement therapy users, had a personal history of benign breast diseases, and had had a hysterectomy. A larger proportion of controls had more than three births and were current smokers.
Table 2 shows the unadjusted and adjusted OR estimates for Wolfe's high-risk mammographic parenchymal patterns and smoking in the total study population and in postmenopausal women separately. Current smoking was strongly and inversely associated with high-risk patterns, after adjustment for concomitant risk factors. Relative to never smokers, current smokers were significantly less likely to have a high-risk pattern (OR 0.37, 95% CI 0.14-0.94). Similar results were obtained when the analysis was confined to postmenopausal women. Past smoking was not related to mammographic parenchymal patterns. The overall effect in postmenopausal women lost its significance when adjusted for other risk factors for P2/DY patterns that were found to be significant in the present study, although the results were still strongly suggestive. There was no interaction between cigarette smoking and body mass index.
Discussion:
In the present study we found a strong inverse relationship between current smoking and high-risk mammographic parenchymal patterns of breast tissue as classified by Wolfe [12]. These findings are not completely unprecedented; Greendale et al [18] found a reduced risk of breast density in association with smoking, although the magnitude of the reduction was unclear. The present findings suggest that this reduction is large.
Recent studies [9,10] have suggested that breast cancer risk may be reduced among current smokers. In a multicentre Italian case-control study, Braga et al [10] found that, relative to nonsmokers, current smokers had a reduced risk of breast cancer (OR 0.84, 95% CI 0.7-1.0). These findings were recently supported by Gammon et al [9], who reported that breast cancer risk in younger women (younger than 45 years) may be reduced among current smokers who began smoking at an early age (OR 0.59, 95% CI 0.41-0.85 for age 15 years or younger) and among long-term smokers (OR 0.70, 95% CI 0.52-0.94 for those who had smoked for 21 years or more).
The possible protective effect of smoking might be due to its anti-oestrogenic effect [1,2,19]. Recently there has been renewed interest in the potential effect of smoking on breast cancer risk, and whether individuals may respond differently on the basis of differences in metabolism of bioproducts of smoking [20,21]. Different relationships between smoking and breast cancer risk have been suggested that are dependent on the rapid or slow status of acetylators of aromatic amines [20,21]. More recent studies [22,23], however, do not support these findings.
The present study design minimized the opportunity for bias to influence the findings. Because subjects were unaware of their own case-control status, the possibility of recall bias in reporting smoking status was minimized. Systematic error in the assessment of mammograms was avoided because reading was done without knowledge of the risk factor data. Furthermore, the associations observed are unlikely to be explained by the confounding effect of other known breast cancer risk factors, because we adjusted for these in the analysis. We did not have information on passive smoking status, however, which has recently been reported to be a possible confounder [5,6,21,24].
The present data indicate that adjustment for current smoking status is important when evaluating the relationship between mammographic parenchymal pattern and breast cancer risk. They also indicate smoking as a prominent potential confounder when analyzing effects of other risk factors such as obesity-related variables. It seems that parenchymal patterns may act as an informative biomarker of the effect of cigarette smoking on breast cancer risk.
PMCID: PMC13911  PMID: 11056684
mammography; screening; smoking; Wolfe's parenchymal patterns
5.  Work stress, life stress, and smoking among rural–urban migrant workers in China 
BMC Public Health  2012;12:979.
Background
Stimulated by rapid modernization and industrialization, there is massive rural–urban migration in China. The migrants are highly susceptible to smoking and mental health problems. This study examined the association between both perceived work stress and perceived life stress with smoking behavior among this group during the period of migration.
Methods
Participants (n = 1,595) were identified through stratified, multi-stage, systematic sampling. Smoking status separated non-smokers from daily and occasional smokers, and migration history, work stress, and life stress were also measured. Analyses were conducted using the Chi-square test and multiple logistic regression. Two models were utilized. The first was the full model that comprised sociodemographic and migration-related characteristics, as well as the two stress variables. In addressing potential overlap between life and work stress, the second model eliminated one of the two stress variables as appropriate.
Results
Overall smoking prevalence was 64.9% (95% CI: 62.4-67.2%). In the regression analysis, under the full model, migrants with high perceived life stress showed a 45% excess likelihood to be current smokers relative to low-stress counterparts (OR: 1.45; 95% CI: 1.05 – 2.06). Applying the second model, which excluded the life stress variable, migrants with high perceived work stress had a 75% excess likelihood to be current smokers relative to opposites (OR: 1.75; 95% CI: 1.26–2.45).
Conclusions
Rural–urban migrant workers manifested a high prevalence of both life stress and work stress. While both forms of stress showed associations with current smoking, life stress appeared to outweigh the impact of work stress. Our findings could inform the design of tobacco control programs that would target Chinese rural–urban migrant workers as a special population.
doi:10.1186/1471-2458-12-979
PMCID: PMC3584974  PMID: 23151299
Smoking; Work stress; Life stress; Rural–urban migrant workers
6.  Current and Former Smoking and Risk for Venous Thromboembolism: A Systematic Review and Meta-Analysis 
PLoS Medicine  2013;10(9):e1001515.
In a meta-analysis of 32 observational studies involving 3,966,184 participants and 35,151 events, Suhua Wu and colleagues found that current, ever, and former smoking was associated with risk of venous thromboembolism.
Please see later in the article for the Editors' Summary
Background
Smoking is a well-established risk factor for atherosclerotic disease, but its role as an independent risk factor for venous thromboembolism (VTE) remains controversial. We conducted a meta-analysis to summarize all published prospective studies and case-control studies to update the risk for VTE in smokers and determine whether a dose–response relationship exists.
Methods and Findings
We performed a literature search using MEDLINE (source PubMed, January 1, 1966 to June 15, 2013) and EMBASE (January 1, 1980 to June 15, 2013) with no restrictions. Pooled effect estimates were obtained by using random-effects meta-analysis. Thirty-two observational studies involving 3,966,184 participants and 35,151 VTE events were identified. Compared with never smokers, the overall combined relative risks (RRs) for developing VTE were 1.17 (95% CI 1.09–1.25) for ever smokers, 1.23 (95% CI 1.14–1.33) for current smokers, and 1.10 (95% CI 1.03–1.17) for former smokers, respectively. The risk increased by 10.2% (95% CI 8.6%–11.8%) for every additional ten cigarettes per day smoked or by 6.1% (95% CI 3.8%–8.5%) for every additional ten pack-years. Analysis of 13 studies adjusted for body mass index (BMI) yielded a relatively higher RR (1.30; 95% CI 1.24–1.37) for current smokers. The population attributable fractions of VTE were 8.7% (95% CI 4.8%–12.3%) for ever smoking, 5.8% (95% CI 3.6%–8.2%) for current smoking, and 2.7% (95% CI 0.8%–4.5%) for former smoking. Smoking was associated with an absolute risk increase of 24.3 (95% CI 15.4–26.7) cases per 100,000 person-years.
Conclusions
Cigarette smoking is associated with a slightly increased risk for VTE. BMI appears to be a confounding factor in the risk estimates. The relationship between VTE and smoking has clinical relevance with respect to individual screening, risk factor modification, and the primary and secondary prevention of VTE.
Please see later in the article for the Editors' Summary
Editors' Summary
Background
Blood normally flows throughout the human body, supplying its organs and tissues with oxygen and nutrients. But, when an injury occurs, proteins called clotting factors make the blood gel (coagulate) at the injury site. The resultant clot (thrombus) plugs the wound and prevents blood loss. Occasionally, a thrombus forms inside an uninjured blood vessel and partly or completely blocks the blood flow. Clot formation inside one of the veins deep within the body, usually in a leg, is called deep vein thrombosis (DVT) and can cause pain, swelling, and redness in the affected limb. DVT can be treated with drugs that stop the blood clot from getting larger (anticoagulants) but, if left untreated, part of the clot can break off and travel to the lungs, where it can cause a life-threatening pulmonary embolism. DVT and pulmonary embolism are collectively known as venous thromboembolism (VTE). Risk factors for VTE include having an inherited blood clotting disorder, oral contraceptive use, prolonged inactivity (for example, during a long-haul plane flight), and having surgery. VTEs are present in about a third of all people who die in hospital and, in non-bedridden populations, about 10% of people die within 28 days of a first VTE event.
Why Was This Study Done?
Some but not all studies have reported that smoking is also a risk factor for VTE. A clear demonstration of a significant association (a relationship unlikely to have occurred by chance) between smoking and VTE might help to reduce the burden of VTE because smoking can potentially be reduced by encouraging individuals to quit smoking and through taxation policies and other measures designed to reduce tobacco consumption. In this systematic review and meta-analysis, the researchers examine the link between smoking and the risk of VTE in the general population and investigate whether heavy smokers have a higher risk of VTE than light smokers. A systematic review uses predefined criteria to identify all the research on a given topic; meta-analysis is a statistical method for combining the results of several studies.
What Did the Researchers Do and Find?
The researchers identified 32 observational studies (investigations that record a population's baseline characteristics and subsequent disease development) that provided data on smoking and VTE. Together, the studies involved nearly 4 million participants and recorded 35,151 VTE events. Compared with never smokers, ever smokers (current and former smokers combined) had a relative risk (RR) of developing VTE of 1.17. That is, ever smokers were 17% more likely to develop VTE than never smokers. For current smokers and former smokers, RRs were 1.23 and 1.10, respectively. Analysis of only studies that adjusted for body mass index (a measure of body fat and a known risk factor for conditions that affect the heart and circulation) yielded a slightly higher RR (1.30) for current smokers compared with never smokers. For ever smokers, the population attributable fraction (the proportional reduction in VTE that would accrue in the population if no one smoked) was 8.7%. Notably, the risk of VTE increased by 10.2% for every additional ten cigarettes smoked per day and by 6.1% for every additional ten pack-years. Thus, an individual who smoked one pack of cigarettes per day for 40 years had a 26.7% higher risk of developing VTE than someone who had never smoked. Finally, smoking was associated with an absolute risk increase of 24.3 cases of VTE per 100,000 person-years.
What Do These Findings Mean?
These findings indicate that cigarette smoking is associated with a statistically significant, slightly increased risk for VTE among the general population and reveal a dose-relationship between smoking and VTE risk. They cannot prove that smoking causes VTE—people who smoke may share other unknown characteristics (confounding factors) that are actually responsible for their increased risk of VTE. Indeed, these findings identify body mass index as a potential confounding factor that might affect the accuracy of estimates of the association between smoking and VTE risk. Although the risk of VTE associated with smoking is smaller than the risk associated with some well-established VTE risk factors, smoking is more common (globally, there are 1.1 billion smokers) and may act synergistically with some of these risk factors. Thus, smoking behavior should be considered when screening individuals for VTE and in the prevention of first and subsequent VTE events.
Additional Information
Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001515.
The US National Heart Lung and Blood Institute provides information on deep vein thrombosis (including an animation about how DVT causes pulmonary embolism), and information on pulmonary embolism
The UK National Health Service Choices website has information on deep vein thrombosis, including personal stories, and on pulmonary embolism; SmokeFree is a website provided by the UK National Health Service that offers advice on quitting smoking
The non-profit organization US National Blood Clot Alliance provides detailed information about deep vein thrombosis and pulmonary embolism for patients and professionals and includes a selection of personal stories about these conditions
The World Health Organization provides information about the dangers of tobacco (in several languages)
Smokefree.gov, from the US National Cancer Institute, offers online tools and resources to help people quit smoking
MedlinePlus has links to further information about deep vein thrombosis, pulmonary embolism, and the dangers of smoking (in English and Spanish)
doi:10.1371/journal.pmed.1001515
PMCID: PMC3775725  PMID: 24068896
7.  Socioeconomic Disparities and Smoking Habits in Metabolic Syndrome: Evidence from Isfahan Healthy Heart Program 
Background
The metabolic syndrome (Mets) consists of major clustering of cardiovascular disease (CVD) risk factors. This study determines the association of socioeconomic determinants and smoking behavior in a population-based sample of Iranians with Mets.
Methods
This cross-sectional survey comprised 12600 randomly selected men and women aged ≥ 19 years living in three counties in central part of Iran. They participated in the baseline survey of a community-based program for CVD prevention entitled” Isfahan Healthy Heart Program” in 2000-2001. Subjects with Mets were selected based on NCEP- ATPIII criteria. Demographic data, medical history, lifestyle, smoking habits, physical examination, blood pressure, obesity indices and serum lipids were determined.
Results
The mean age of subjects with Mets was significantly higher. The mean age of smokers in both groups was higher than non-smokers but with lower WC and WHR. Marital status, age and residency were not significantly different in smokers with Mets and non-smokers with Mets. Smoking was more common in the middle educational group in the income category of Quartile 1-3. Mets was significantly related to age, sex and education. Middle-aged and elderly smokers were at approximately 4-5 times higher risk among Mets subjects. Low education decreased the risk of Mets by 0.48; similarly in non-smokers, 6-12 years of education decreased the risk of Mets by 0.72.
Conclusion
More educated persons had a better awareness and behavior related to their health and role of smoking. In the lower social strata of the Iranian population, more efforts are needed against smoking habits.
PMCID: PMC3371999  PMID: 22737524
Socioeconomic status; Smoking; Metabolic syndrome; Iran
8.  Factors Associated with Tobacco Smoking and Cessation among HIV-Infected Individuals under Care in Rio de Janeiro, Brazil 
PLoS ONE  2014;9(12):e115900.
Worldwide the prevalence of smoking among people living with HIV/AIDS is elevated compared to the general population. This probably reflects the cluster of individual characteristics that have shared risk factors for HIV infection and smoking. A cross-sectional study, enrolling a convenience sample from a Brazilian HIV clinical cohort was conducted to evaluate the prevalence of tobacco smoking and the factors associated with current smoking and abstinence. A total of 2,775 HIV-infected individuals were interviewed: 46.2% have never smoked, 29.9% were current smokers and 23.9% were former smokers. Current smokers had a higher prevalence of alcohol and illicit drug use when compared to the other two groups. A higher proportion of heterosexual individuals were former smokers or never smokers while among men who have sex with men (MSM) a higher proportion were current smokers. Former smokers had been more frequently diagnosed with high blood pressure, diabetes mellitus, cardiovascular diseases and depression, while for current smokers lung diseases were more frequent. Former smokers and current smokers were more likely to have had any hospital admission (42.0% and 41.2%, respectively) than participants who never smoked (33.5%) (p<0.001). Multivariate model results showed that current smokers (versus never smokers) were more likely to be less educated, to report the use of alcohol, crack and cocaine and to present clinical comorbidities. Former smokers (versus current smokers) were more likely to be older, to have smoked for a shorter amount of time and to have smoked >31 cigarettes/day. MSM (compared to heterosexuals) and cocaine users (versus non-users) had lower odds of being former smokers. Considering our results, smoking cessation interventions should be tailored to younger individuals, MSM and substance users.
doi:10.1371/journal.pone.0115900
PMCID: PMC4275249  PMID: 25536064
9.  Job Strain and Tobacco Smoking: An Individual-Participant Data Meta-Analysis of 166 130 Adults in 15 European Studies 
PLoS ONE  2012;7(7):e35463.
Background
Tobacco smoking is a major contributor to the public health burden and healthcare costs worldwide, but the determinants of smoking behaviours are poorly understood. We conducted a large individual-participant meta-analysis to examine the extent to which work-related stress, operationalised as job strain, is associated with tobacco smoking in working adults.
Methodology and Principal Findings
We analysed cross-sectional data from 15 European studies comprising 166 130 participants. Longitudinal data from six studies were used. Job strain and smoking were self-reported. Smoking was harmonised into three categories never, ex- and current. We modelled the cross-sectional associations using logistic regression and the results pooled in random effects meta-analyses. Mixed effects logistic regression was used to examine longitudinal associations. Of the 166 130 participants, 17% reported job strain, 42% were never smokers, 33% ex-smokers and 25% current smokers. In the analyses of the cross-sectional data, current smokers had higher odds of job strain than never-smokers (age, sex and socioeconomic position-adjusted odds ratio: 1.11, 95% confidence interval: 1.03, 1.18). Current smokers with job strain smoked, on average, three cigarettes per week more than current smokers without job strain. In the analyses of longitudinal data (1 to 9 years of follow-up), there was no clear evidence for longitudinal associations between job strain and taking up or quitting smoking.
Conclusions
Our findings show that smokers are slightly more likely than non-smokers to report work-related stress. In addition, smokers who reported work stress smoked, on average, slightly more cigarettes than stress-free smokers.
doi:10.1371/journal.pone.0035463
PMCID: PMC3391192  PMID: 22792154
10.  Impact of Scotland's Smoke-Free Legislation on Pregnancy Complications: Retrospective Cohort Study 
PLoS Medicine  2012;9(3):e1001175.
An analysis of pregnancy data for the whole of Scotland demonstrates a reduction in small-for-gestational-age births and preterm delivery since the introduction of legislation banning smoking in enclosed public spaces.
Background
Both active smoking and environmental tobacco smoke exposure are associated with pregnancy complications. In March 2006, Scotland implemented legislation prohibiting smoking in all wholly or partially enclosed public spaces. The aim of this study was to determine the impact of this legislation on preterm delivery and small for gestational age.
Methods and Findings
We conducted logistic regression analyses using national administrative pregnancy data covering the whole of Scotland. Of the two breakpoints tested, 1 January 2006 produced a better fit than the date when the legislation came into force (26 March 2006), suggesting an anticipatory effect. Among the 716,941 eligible women who conceived between August 1995 and February 2009 and subsequently delivered a live-born, singleton infant between 24 and 44 wk gestation, the prevalence of current smoking fell from 25.4% before legislation to 18.8% after legislation (p<0.001). Three months prior to the legislation, there were significant decreases in small for gestational age (−4.52%, 95% CI −8.28, −0.60, p = 0.024), overall preterm delivery (−11.72%, 95% CI −15.87, −7.35, p<0.001), and spontaneous preterm labour (−11.35%, 95% CI −17.20, −5.09, p = 0.001). In sub-group analyses, significant reductions were observed among both current and never smokers.
Conclusions
Reductions were observed in the risk of preterm delivery and small for gestational age 3 mo prior to the introduction of legislation, although the former reversed partially following the legislation. There is growing evidence of the potential for tobacco control legislation to have a positive impact on health.
Please see later in the article for the Editors' Summary
Editors' Summary
Background
The risks of smoking during pregnancy, both on mother and fetus, are well established: women who smoke during pregnancy are more likely to have a miscarriage. Smoking can cause placental problems, such as placental abruption, which can result in heavy bleeding during pregnancy, which is dangerous for both mother and baby. Other dangers of smoking during pregnancy include the baby being born too early (premature birth), the baby being below average weight (small for gestational age), birth defects, and infant death. Because of the serious damage to health caused by smoking, in 2005, under the auspices of the World Health Organization, countries adopted the Framework Convention on Tobacco Control to protect present and future generations from the devastating health, social, environmental, and economic consequences of tobacco consumption and exposure to tobacco smoke. Article 8 of the treaty obliges member states who have ratified the treaty—168 so far—to protect all people from exposure to tobacco smoke in indoor workplaces, public transport, and indoor public places. As a result, many countries around the world have banned smoking in public places.
Why Was This Study Done?
Scotland was the first country in the United Kingdom to ban smoking in public places, which was implemented as part of the Smoking, Health and Social Care (Scotland) Bill on 26 March 2006. Previous studies have shown that the introduction of the legislation led directly to a reduction in smoking and also a reduction in environmental tobacco smoke exposure in adults and children. Furthermore, the Scottish legislation has been accompanied by significant reductions in both cardiovascular and respiratory disease. Because of the known risks of smoking during pregnancy, the researchers wanted to investigate whether the change in policy on smoking in public places had positive benefits on the health of mothers and babies. They evaluated this by measuring the rates of preterm delivery and small for gestational age before and after the Scottish legislation went into effect.
What Did the Researchers Do and Find?
The researchers collected information on preterm delivery and small for gestational age in all single babies born live at 22–44 weeks gestation between 1 January 1996 and 31 December 2009 by using the Scottish Morbidity Record (SMR2), which collects relevant information on all women discharged from Scottish maternity hospitals, including maternal and infant characteristics and pregnancy complications. The researchers categorized preterm delivery into mild, moderate, and extreme depending on how much before 37 weeks the baby was born. They defined small for gestational age as the smallest 10% (below the 10th centile) for sex-specific birth weight at delivery, and very small for gestational age as the smallest 3% (below the 3rd centile), for all deliveries in Scotland over the study period. As some people may have stopped smoking in anticipation of the smoking ban, in their statistical model, the researchers included two possible breakpoints for the effect of the legislation—the actual date of implementation and 1 January 2006.
The researchers found that of the 716,968 pregnancies (the number eligible for inclusion in the study), 99.9% of women had their smoking status recorded, and among these 23.9% were current smokers, 57.6% never smokers, and 8.7% former smokers. However, following implementation of the legislation the researchers noted that there was a significant reduction in current smokers to 18.8%. In their statistical model, the researchers found that following 1 January 2006, there was a significant drop in overall preterm deliveries, which remained after adjustment for potential confounding factors. Likewise, there was a significant decrease in the number of infants born small, and very small, for gestational age after 1 January 2006. Furthermore, the researchers found that these significant reductions occurred in both mothers who smoked and those who had never smoked.
What Do These Findings Mean?
These findings suggest that the introduction of national, comprehensive smoke-free legislation in Scotland was associated with significant reductions in preterm delivery and babies being born small for gestational age. These findings are plausible and add to the growing evidence of the wide-ranging health benefits of smoke-free legislation, and support the adoption of such legislation in other countries that have yet to implement smoking bans.
Additional Information
Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001175.
More information is available on the World Health Organization's Framework Convention for Tobacco Control
More information on the Smoking, Health and Social Care (Scotland) Bill is available
The US Centers for Disease Control and Prevention has more information about the risks of smoking in pregnancy, as does the UK National Health Service's smokefree web page
NHS Health Scotland has a website that summarises all the studies to date evaluating the Scottish smoke-free legislation
doi:10.1371/journal.pmed.1001175
PMCID: PMC3295815  PMID: 22412353
11.  Characteristics and prevalence of hardcore smokers attending UK general practitioners 
BMC Family Practice  2006;7:24.
Background
Smoking remains a public health problem and although unsolicited GPs' advice against smoking causes between one and three percent of smokers to stop, a significant proportion of smokers are particularly resistant to the notion of stopping smoking. These resistant smokers have been called "hardcore smokers" and although 16% of smokers in the community are hardcore, little is known about hardcore smokers presenting to primary care physicians. Consequently, this study reports the characteristics and prevalence of hardcore smokers attending UK GPs.
Methods
A cross-sectional survey using data from two different research projects was conducted. Data for this analysis had been collected from surgery consultation sessions with 73 GPs in Leicestershire, England, (42 GPs from one project). Research assistants distributed pre-consultation questionnaires to 4147 adults attending GPs' surgery sessions. Questionnaires identified regular smokers, the proportion of hardcore smokers and their characteristics. Non-hardcore and hardcore smokers' ages, gender and nicotine addiction levels were compared.
Results
1170 regular smokers attended surgery sessions and, 16.1% (95% CI, 14.1 to 18.4) were hardcore smokers. Hardcore smokers had higher levels of nicotine addiction than others (p = 0.000), measured by the Heaviness of Smoking Index and were more likely to be male [50.5% hardcore versus 35.3% non-hardcore, (OR = 1.88, 95% CI = 1.4 to 2.6)] but no age differences were observed between groups.
Conclusion
A significant minority of the smokers who present in general practice are resistant to the notion of smoking cessation and these smokers are more heavily nicotine addicted than others. Although clinical guidelines suggest that GPs should regularly advise all smokers against smoking, it is probable that hardcore smokers do not respond positively to this and help to make up the 97%–99% of smokers who do not quit after being advised to stop smoking by GPs. General practitioners need to find approaches for raising the issue of smoking during consultations in ways that do not reinforce the negative opinions of hardcore smokers concerning smoking cessation.
doi:10.1186/1471-2296-7-24
PMCID: PMC1450291  PMID: 16571119
12.  The Economic Impact of Smoking and of Reducing Smoking Prevalence: Review of Evidence 
Tobacco Use Insights  2015;8:1-35.
BACKGROUND
Tobacco smoking is the cause of many preventable diseases and premature deaths in the UK and around the world. It poses enormous health- and non-health-related costs to the affected individuals, employers, and the society at large. The World Health Organization (WHO) estimates that, globally, smoking causes over US$500 billion in economic damage each year.
OBJECTIVES
This paper examines global and UK evidence on the economic impact of smoking prevalence and evaluates the effectiveness and cost effectiveness of smoking cessation measures.
STUDY SELECTION
Search methods
We used two major health care/economic research databases, namely PubMed and the National Institute for Health Research (NIHR) database that contains the British National Health Service (NHS) Economic Evaluation Database; Cochrane Library of systematic reviews in health care and health policy; and other health-care-related bibliographic sources. We also performed hand searching of relevant articles, health reports, and white papers issued by government bodies, international health organizations, and health intervention campaign agencies.
Selection criteria
The paper includes cost-effectiveness studies from medical journals, health reports, and white papers published between 1992 and July 2014, but included only eight relevant studies before 1992. Most of the papers reviewed reported outcomes on smoking prevalence, as well as the direct and indirect costs of smoking and the costs and benefits of smoking cessation interventions. We excluded papers that merely described the effectiveness of an intervention without including economic or cost considerations. We also excluded papers that combine smoking cessation with the reduction in the risk of other diseases.
Data collection and analysis
The included studies were assessed against criteria indicated in the Cochrane Reviewers Handbook version 5.0.0.
Outcomes assessed in the review
Primary outcomes of the selected studies are smoking prevalence, direct and indirect costs of smoking, and the costs and benefits of smoking cessation interventions (eg, “cost per quitter”, “cost per life year saved”, “cost per quality-adjusted life year gained,” “present value” or “net benefits” from smoking cessation, and “cost savings” from personal health care expenditure).
MAIN RESULTS
The main findings of this study are as follows: The costs of smoking can be classified into direct, indirect, and intangible costs. About 15% of the aggregate health care expenditure in high-income countries can be attributed to smoking. In the US, the proportion of health care expenditure attributable to smoking ranges between 6% and 18% across different states. In the UK, the direct costs of smoking to the NHS have been estimated at between £2.7 billion and £5.2 billion, which is equivalent to around 5% of the total NHS budget each year. The economic burden of smoking estimated in terms of GDP reveals that smoking accounts for approximately 0.7% of China’s GDP and approximately 1% of US GDP. As part of the indirect (non-health-related) costs of smoking, the total productivity losses caused by smoking each year in the US have been estimated at US$151 billion.The costs of smoking notwithstanding, it produces some potential economic benefits. The economic activities generated from the production and consumption of tobacco provides economic stimulus. It also produces huge tax revenues for most governments, especially in high-income countries, as well as employment in the tobacco industry. Income from the tobacco industry accounts for up to 7.4% of centrally collected government revenue in China. Smoking also yields cost savings in pension payments from the premature death of smokers.Smoking cessation measures could range from pharmacological treatment interventions to policy-based measures, community-based interventions, telecoms, media, and technology (TMT)-based interventions, school-based interventions, and workplace interventions.The cost per life year saved from the use of pharmacological treatment interventions ranged between US$128 and US$1,450 and up to US$4,400 per quality-adjusted life years (QALYs) saved. The use of pharmacotherapies such as varenicline, NRT, and Bupropion, when combined with GP counseling or other behavioral treatment interventions (such as proactive telephone counseling and Web-based delivery), is both clinically effective and cost effective to primary health care providers.Price-based policy measures such as increase in tobacco taxes are unarguably the most effective means of reducing the consumption of tobacco. A 10% tax-induced cigarette price increase anywhere in the world reduces smoking prevalence by between 4% and 8%. Net public benefits from tobacco tax, however, remain positive only when tax rates are between 42.9% and 91.1%. The cost effectiveness ratio of implementing non-price-based smoking cessation legislations (such as smoking restrictions in work places, public places, bans on tobacco advertisement, and raising the legal age of smokers) range from US$2 to US$112 per life year gained (LYG) while reducing smoking prevalence by up to 30%–82% in the long term (over a 50-year period).Smoking cessation classes are known to be most effective among community-based measures, as they could lead to a quit rate of up to 35%, but they usually incur higher costs than other measures such as self-help quit-smoking kits. On average, community pharmacist-based smoking cessation programs yield cost savings to the health system of between US$500 and US$614 per LYG.Advertising media, telecommunications, and other technology-based interventions (such as TV, radio, print, telephone, the Internet, PC, and other electronic media) usually have positive synergistic effects in reducing smoking prevalence especially when combined to deliver smoking cessation messages and counseling support. However, the outcomes on the cost effectiveness of TMT-based measures have been inconsistent, and this made it difficult to attribute results to specific media. The differences in reported cost effectiveness may be partly attributed to varying methodological approaches including varying parametric inputs, differences in national contexts, differences in advertising campaigns tested on different media, and disparate levels of resourcing between campaigns. Due to its universal reach and low implementation costs, online campaign appears to be substantially more cost effective than other media, though it may not be as effective in reducing smoking prevalence.School-based smoking prevalence programs tend to reduce short-term smoking prevalence by between 30% and 70%. Total intervention costs could range from US$16,400 to US$580,000 depending on the scale and scope of intervention. The cost effectiveness of school-based programs show that one could expect a saving of approximately between US$2,000 and US$20,000 per QALY saved due to averted smoking after 2–4 years of follow-up.Workplace-based interventions could represent a sound economic investment to both employers and the society at large, achieving a benefit–cost ratio of up to 8.75 and generating 12-month employer cost savings of between $150 and $540 per nonsmoking employee. Implementing smoke-free workplaces would also produce myriads of new quitters and reduce the amount of cigarette consumption, leading to cost savings in direct medical costs to primary health care providers. Workplace interventions are, however, likely to yield far greater economic benefits over the long term, as reduced prevalence will lead to a healthier and more productive workforce.
CONCLUSIONS
We conclude that the direct costs and externalities to society of smoking far outweigh any benefits that might be accruable at least when considered from the perspective of socially desirable outcomes (ie, in terms of a healthy population and a productive workforce). There are enormous differences in the application and economic measurement of smoking cessation measures across various types of interventions, methodologies, countries, economic settings, and health care systems, and these may have affected the comparability of the results of the studies reviewed. However, on the balance of probabilities, most of the cessation measures reviewed have not only proved effective but also cost effective in delivering the much desired cost savings and net gains to individuals and primary health care providers.
doi:10.4137/TUI.S15628
PMCID: PMC4502793  PMID: 26242225
smoking prevalence; economic impact; smoking cessation; effectiveness; cost effectiveness; cost–benefit analysis
13.  Current cigarette smoking among in-school American youth: results from the 2004 National Youth Tobacco Survey 
Background
Tobacco use is a leading cause of preventable morbidity and mortality. In the developed nations where the burden from infectious diseases is lower, the burden of disease from tobacco use is especially magnified. Understanding the factors that may be associated with adolescent cigarette smoking may aid in the design of prevention programs.
Methods
A secondary analysis of the 2004 United States National Youth Tobacco Survey was carried out to estimate the association between current cigarette smoking and selected smoking-related variables. Study participants were recruited from middle and high schools in the United States. Logistic regression analysis using SUDAAN software was conducted to estimate the association between smoking and the following explanatory variables: age, sex, race-ethnicity, peer smoking, living in the same household as a smoker, amount of pocket money at the disposal of the adolescents, and perception that smoking is not harmful to health.
Results
Of the 27727 respondents whose data were analysed, 15.9% males and 15.3% females reported being current cigarette smokers. In multivariate analysis, compared to Whites, respondents from almost all ethnic groups were less likely to report current cigarette smoking: Blacks (OR = 0.52; 95% CI [0.44, 0.60]), Asians (OR = 0.45; 95% CI [0.35, 0.58]), Hispanic (OR = 0.81; 95% CI [0.71, 0.92]), and Hawaii/Pacific Islanders (OR = 0.69; 95% CI [0.52, 0.93]). American Indians were equally likely to be current smokers as whites, OR = 0.98 [95% CI; 0.79, 1.22]. Participants who reported living with a smoker were more than twice as likely to smoke as those who did not live with a cigarette smoker (OR = 2.73; 95% CI [2.21, 3.04]). Having friends who smoked was positively associated with smoking (OR = 2.27; 95% CI [1.91, 2.71] for one friend who smoked, and OR = 2.71; 95% CI [2.21, 3.33] for two or more friends who smoked). Subjects who perceived that it was safe to smoke for one or two years were more likely to smoke than those who thought it was definitely not safe to do so. There was a dose-response relationship between age and the amount of money available to the respondents on one hand, and current smoking status on the other (p-value < 0.001).
Conclusion
We found that White non-Hispanic adolescents were as likely to be current smokers as American Indians but more likely to be smokers than all other racial/ethnic groups. Older adolescents, increase amounts of pocket money, and perception that smoking was not harmful to health. The racial/ethnic differences in prevalence of smoking among America youth deserve particular exploration.
doi:10.1186/1475-9276-8-10
PMCID: PMC2683170  PMID: 19344506
14.  The prevalence of household second-hand smoke exposure and its correlated factors in six counties of China 
Tobacco Control  2009;18(2):121-126.
Objective:
To study the prevalence of, and discuss factors contributing to, household second-hand smoke exposure in six counties in China, providing scientific support for the need to establish tobacco control measures in these areas.
Methods:
A cross-sectional survey was performed. Investigators conducted face-to-face interviews using a standardised questionnaire to collect information on demographics, passive smoking behaviours and knowledge, and attitudes towards tobacco control. The setting was six counties from the three provinces: Mianzhu and Xichong counties in Sichuan Province; Anyi and Hukou counties in Jiangxi Province; and Xinan and Yanshi counties in Henan Province. A total of 8142 non-smokers (aged 18–69) in 2004 were included in the data analysis. Household second-hand smoke exposure rate as defined as the proportion of household passive smokers in the non-smoker population was used as the measure of household second-hand smoke exposure.
Results:
The analysis of 8142 non-smokers revealed that, in these selected counties, the household second-hand smoke exposure rate was 48.3%. Respondents had positive attitudes towards tobacco control. Of 6972 respondents, 84.4% supported all the three tobacco control policies (banning smoking in public places, banning the selling of cigarettes to minors, banning all cigarette advertisements). In 3165 families with smokers, 87.2% of respondents reported that smokers would smoke in front of them. In 2124 families with smokers and children, 76.5% of respondents reported that smokers would smoke in front of children. As many as 42.1% of non-smokers would offer cigarettes to their guests, and only 46.8% of respondents would ask smokers to smoke outdoors. Only 6.3% of families completely forbade smoking at home. Multivariate logistic regression analysis revealed high second-hand smoke exposure for the following demographic groups: Jiangxi Province inhabitants, females, those with low education level, farmers and married respondents.
Conclusions:
Household second-hand smoke exposure rates in the selected counties were high. A high percentage of respondents reported that smokers would smoke in front of them and children. The pressure from non-smokers against smoking was relatively low, although offering cigarette was prevalent. Households that were completely smoking-free were rare, Further studies on these correlated factors could help us establish effective measures to reduce household second-hand smoke exposure.
doi:10.1136/tc.2008.024836
PMCID: PMC2655043  PMID: 19131456
15.  Social norms of cigarette and hookah smokers in Iranian universities 
ARYA Atherosclerosis  2013;9(1):45-50.
BACKGROUND
First experiences of tobacco use usually occur in adolescence. The recognition of social norms leading to youth smoking is hence necessary. We tried to assess the social norms among Iranian young cigarette and hookah smokers.
METHODS
This cross-sectional study was conducted on 451 girls and 361 boys aging 20-25 years old who entered Isfahan and Kashan Universities (Iran) in 2007. Demographic factors (age, gender, and age at smoking onset) cigarette and hookah smoking status, having a smoking father or smoking friends and four related social norms were recorded. Binary logistic regression analysis was used to separately determine associations between hookah and cigarette smoking and the four social norm variables.
RESULTS
Cigarette and hookah smokers had significant differences with nonsmokers in two social norms: “Perceived smoking by important characters” [odds ratio (OR) = 1.35 in cigarette smokers and 1.58 in hookah smokers; P < 0.001] and “smoking makes gatherings friendly” (OR = 3.62 in cigarette smokers and 6.16 in hookah smokers; P < 0.001). Furthermore, cigarette and hookah smoking were significantly associated with having smoking friends.
CONCLUSION
Highlighting the social norms leading to cigarette and hookah smoking may help policy makers develop comprehensive interventions to prevent smoking among adolescents.
PMCID: PMC3653255  PMID: 23696759
Cigarette; Hookah; Smoking; Social Norm
16.  Smoking cessation support in Iran: Availability, sources & predictors 
Background & objectives:
Smoking cessation advice is known as an important factor in motivating smokers to quit smoking. We investigated the extent, sources and predictors of receiving unsolicited advice and seeking active advice for smoking cessation in Iran.
Methods:
A cross-sectional study was performed as a part of Isfahan Healthy Heart Program (IHHP) on 9093 adult individuals (both men and women) in 2004-2005. Demographic characteristics, smoking status, sources and preferences for smoking cessation support were recorded.
Results:
In the studied population, 66.8 and 14.4 per cent had received and asked for cessation support, respectively. Smokers had received advice from family (92.2%), friends (48.9%), physician (27.9%) and other health care providers (16.2%). Smokers had asked for cessation help more frequently from family (64.5%) and friends (42.0%). Women (OR: 0.59, 95% CI: 0.37-0.94) and singles (OR: 0.51, 95% CI: 0.36-0.71) received less advice. Hookah smokers received (OR: 0.23; 95% CI: 0.14-0.38) and asked (OR: 0.21; 95% CI: 0.06-0.68) for cessation help less than cigarette smokers. Receiving advice increased the odds of seeking support (OR: 7.98; 95% CI: 4.37-14.57).
Interpretation & conclusions:
Smokers’ family and friends were more frequent sources for smoking cessation support. Tobacco control programmes can count on smokers’ family and friends as available sources for smoking cessation support in countries where smoking cessation counselling services are less available. However, the role of physicians and health care workers in the smoking cessation counselling needs to be strengthened.
PMCID: PMC3135990  PMID: 21727661
Cigarettes; hookah; Iran; smoking; smoking cessation
17.  Smoking Cessation for Patients With Chronic Obstructive Pulmonary Disease (COPD) 
Executive Summary
In July 2010, the Medical Advisory Secretariat (MAS) began work on a Chronic Obstructive Pulmonary Disease (COPD) evidentiary framework, an evidence-based review of the literature surrounding treatment strategies for patients with COPD. This project emerged from a request by the Health System Strategy Division of the Ministry of Health and Long-Term Care that MAS provide them with an evidentiary platform on the effectiveness and cost-effectiveness of COPD interventions.
After an initial review of health technology assessments and systematic reviews of COPD literature, and consultation with experts, MAS identified the following topics for analysis: vaccinations (influenza and pneumococcal), smoking cessation, multidisciplinary care, pulmonary rehabilitation, long-term oxygen therapy, noninvasive positive pressure ventilation for acute and chronic respiratory failure, hospital-at-home for acute exacerbations of COPD, and telehealth (including telemonitoring and telephone support). Evidence-based analyses were prepared for each of these topics. For each technology, an economic analysis was also completed where appropriate. In addition, a review of the qualitative literature on patient, caregiver, and provider perspectives on living and dying with COPD was conducted, as were reviews of the qualitative literature on each of the technologies included in these analyses.
The Chronic Obstructive Pulmonary Disease Mega-Analysis series is made up of the following reports, which can be publicly accessed at the MAS website at: http://www.hqontario.ca/en/mas/mas_ohtas_mn.html.
Chronic Obstructive Pulmonary Disease (COPD) Evidentiary Framework
Influenza and Pneumococcal Vaccinations for Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Smoking Cessation for Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Community-Based Multidisciplinary Care for Patients With Stable Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Pulmonary Rehabilitation for Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Long-term Oxygen Therapy for Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Noninvasive Positive Pressure Ventilation for Acute Respiratory Failure Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Noninvasive Positive Pressure Ventilation for Chronic Respiratory Failure Patients With Stable Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Hospital-at-Home Programs for Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Home Telehealth for Patients With Chronic Obstructive Pulmonary Disease (COPD): An Evidence-Based Analysis
Cost-Effectiveness of Interventions for Chronic Obstructive Pulmonary Disease Using an Ontario Policy Model
Experiences of Living and Dying With COPD: A Systematic Review and Synthesis of the Qualitative Empirical Literature
For more information on the qualitative review, please contact Mita Giacomini at: http://fhs.mcmaster.ca/ceb/faculty member_giacomini.htm.
For more information on the economic analysis, please visit the PATH website: http://www.path-hta.ca/About-Us/Contact-Us.aspx.
The Toronto Health Economics and Technology Assessment (THETA) collaborative has produced an associated report on patient preference for mechanical ventilation. For more information, please visit the THETA website: http://theta.utoronto.ca/static/contact.
Objective
The objective of this evidence-based analysis was to determine the effectiveness and cost-effectiveness of smoking cessation interventions in the management of chronic obstructive pulmonary disease (COPD).
Clinical Need: Condition and Target Population
Tobacco smoking is the main risk factor for COPD. It is estimated that 50% of older smokers develop COPD and more than 80% of COPD-associated morbidity is attributed to tobacco smoking. According to the Canadian Community Health Survey, 38.5% of Ontarians who smoke have COPD. In patients with a significant history of smoking, COPD is usually present with symptoms of progressive dyspnea (shortness of breath), cough, and sputum production. Patients with COPD who smoke have a particularly high level of nicotine dependence, and about 30.4% to 43% of patients with moderate to severe COPD continue to smoke. Despite the severe symptoms that COPD patients suffer, the majority of patients with COPD are unable to quit smoking on their own; each year only about 1% of smokers succeed in quitting on their own initiative.
Technology
Smoking cessation is the process of discontinuing the practice of inhaling a smoked substance. Smoking cessation can help to slow or halt the progression of COPD. Smoking cessation programs mainly target tobacco smoking, but may also encompass other substances that can be difficult to stop smoking due to the development of strong physical addictions or psychological dependencies resulting from their habitual use.
Smoking cessation strategies include both pharmacological and nonpharmacological (behavioural or psychosocial) approaches. The basic components of smoking cessation interventions include simple advice, written self-help materials, individual and group behavioural support, telephone quit lines, nicotine replacement therapy (NRT), and antidepressants. As nicotine addiction is a chronic, relapsing condition that usually requires several attempts to overcome, cessation support is often tailored to individual needs, while recognizing that in general, the more intensive the support, the greater the chance of success. Success at quitting smoking decreases in relation to:
a lack of motivation to quit,
a history of smoking more than a pack of cigarettes a day for more than 10 years,
a lack of social support, such as from family and friends, and
the presence of mental health disorders (such as depression).
Research Question
What are the effectiveness and cost-effectiveness of smoking cessation interventions compared with usual care for patients with COPD?
Research Methods
Literature Search
Search Strategy
A literature search was performed on June 24, 2010 using OVID MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations (1950 to June Week 3 2010), EMBASE (1980 to 2010 Week 24), the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane Library, and the Centre for Reviews and Dissemination for studies published between 1950 and June 2010. A single reviewer reviewed the abstracts and obtained full-text articles for those studies meeting the eligibility criteria. Reference lists were also examined for any additional relevant studies not identified through the search. Data were extracted using a standardized data abstraction form.
Inclusion Criteria
English-language, full reports from 1950 to week 3 of June, 2010;
either randomized controlled trials (RCTs), systematic reviews and meta-analyses, or non-RCTs with controls;
a proven diagnosis of COPD;
adult patients (≥ 18 years);
a smoking cessation intervention that comprised at least one of the treatment arms;
≥ 6 months’ abstinence as an outcome; and
patients followed for ≥ 6 months.
Exclusion Criteria
case reports
case series
Outcomes of Interest
≥ 6 months’ abstinence
Quality of Evidence
The quality of each included study was assessed taking into consideration allocation concealment, randomization, blinding, power/sample size, withdrawals/dropouts, and intention-to-treat analyses.
The quality of the body of evidence was assessed as high, moderate, low, or very low according to the GRADE Working Group criteria. The following definitions of quality were used in grading the quality of the evidence:
Summary of Findings
Nine RCTs were identified from the literature search. The sample sizes ranged from 74 to 5,887 participants. A total of 8,291 participants were included in the nine studies. The mean age of the patients in the studies ranged from 54 to 64 years. The majority of studies used the Global Initiative for Chronic Obstructive Lung Disease (GOLD) COPD staging criteria to stage the disease in study subjects. Studies included patients with mild COPD (2 studies), mild-moderate COPD (3 studies), moderate–severe COPD (1 study) and severe–very severe COPD (1 study). One study included persons at risk of COPD in addition to those with mild, moderate, or severe COPD, and 1 study did not define the stages of COPD. The individual quality of the studies was high. Smoking cessation interventions varied across studies and included counselling or pharmacotherapy or a combination of both. Two studies were delivered in a hospital setting, whereas the remaining 7 studies were delivered in an outpatient setting. All studies reported a usual care group or a placebo-controlled group (for the drug-only trials). The follow-up periods ranged from 6 months to 5 years. Due to excessive clinical heterogeneity in the interventions, studies were first grouped into categories of similar interventions; statistical pooling was subsequently performed, where appropriate. When possible, pooled estimates using relative risks for abstinence rates with 95% confidence intervals were calculated. The remaining studies were reported separately.
Abstinence Rates
Table ES1 provides a summary of the pooled estimates for abstinence, at longest follow-up, from the trials included in this review. It also shows the respective GRADE qualities of evidence.
Summary of Results*
Abbreviations: CI, confidence interval; NRT, nicotine replacement therapy.
Statistically significant (P < 0.05).
One trial used in this comparison had 2 treatment arms each examining a different antidepressant.
Conclusions
Based on a moderate quality of evidence, compared with usual care, abstinence rates are significantly higher in COPD patients receiving intensive counselling or a combination of intensive counselling and NRT.
Based on limited and moderate quality of evidence, abstinence rates are significantly higher in COPD patients receiving NRT compared with placebo.
Based on a moderate quality of evidence, abstinence rates are significantly higher in COPD patients receiving the antidepressant bupropion compared to placebo.
PMCID: PMC3384371  PMID: 23074432
18.  The effectiveness of stress management intervention in a community-based program: Isfahan Healthy Heart Program 
ARYA Atherosclerosis  2012;7(4):176-183.
BACKGROUND:
This study was designed to assess the effectiveness of stress management training in improving the ability of coping with stress in a large population.
METHODS:
Five cross-sectional studies using multistage cluster random sampling were performed on adults aged ≥ 19 years between 2000 to 2005 in Isfahan and Najafabad (Iran) as intervention cities and Arak, Iran as the control city within the context of Isfahan Healthy Heart Program. Stress management training was adapted according to age and education levels of the target groups. In a 45-minute home interview, demographic data, General Health Questionnaire (GHQ) and stress management questionnaires were collected. Data was analyzed by t-test, linear regression and general linear model.
RESULTS:
Trends of both adaptive and maladaptive coping skills and GHQ scores from baseline to the last survey were statistically significant in both intervention and reference areas (P < 0.001). While adaptive coping skills increased significantly, maladaptive coping skills decreased significantly in the intervention areas. Furthermore, stress levels decreased significantly in the intervention compared to the reference area.
CONCLUSION:
Stress management programs could improve coping strategies at the community level and can be considered in designing behavioral interventions
PMCID: PMC3413087  PMID: 23205052
Stress Management; Community; Intervention; Coping Strategies
19.  Smoking status and sex as indicators of differences in 2582 obese patients presenting for weight management 
Background
Smoking remains the most common preventable cause of death. Very little tobacco exposure can increase cardiovascular disease risk. The relationship between smoking, sex, and weight remains unclear.
Methods
Between September 1992 and June 2007, 2582 consenting patients starting the Ottawa Hospital Weight Management program were grouped by sex and smoking status. “Former smokers” (771 females, 312 males) had quit for at least 1 year. “Smokers” (135 females, 54 males) smoked > 9 cigarettes daily. There were 979 females and 331 males who never smoked. Using SAS 9.2 statistical software, the prevalence of coronary artery disease (CAD), type 2 diabetes (T2DM), major depressive disorder (MDD), and medication use among the groups was compared (Chi-square [χ2]). Anthropometric measurements, lipid, glucose and thyroid levels were compared using analysis of variance (ANOVA). Interactions were assessed using 2-way ANOVA analysis for continuous data, and logistic regression for discrete data.
Results
Smokers were more likely to have MDD (χ2), lower high-density lipoprotein levels and higher triglyceride levels than other groups. Former smokers had a greater prevalence of CAD, T2DM on pharmacotherapy, and impaired fasting glucose than other groups. They were also more likely to be taking lipid-lowering agents and antihypertensives (χ2). Never smokers had less MDD, CAD, and were less likely to be on antidepressants than the other groups. Males were more likely to have CAD and T2DM than females. Females were more likely to have MDD than males. Interactions between smoking status and sex were found for age, weight, fasting glucose and thyroid-stimulating hormone levels.
Conclusion
Obese never smokers suffer from the fewest chronic diseases. Obese former smokers have a greater prevalence of CAD, T2DM on pharmacotherapy, and impaired fasting glucose than other groups. Thus, clinicians and researchers should avoid combining former smokers with never smokers as “nonsmokers” in research and treatment decisions. The results of this study call for a longitudinal study comparing these groups over the weight management program.
doi:10.2147/VHRM.S30089
PMCID: PMC3363146  PMID: 22661896
smoking status; weight management; obesity
20.  Smoking in infertile women with polycystic ovary syndrome: baseline validation of self-report and effects on phenotype 
Human Reproduction (Oxford, England)  2014;29(12):2680-2686.
STUDY QUESTION
Do women with polycystic ovary syndrome (PCOS) seeking fertility treatment report smoking accurately and does participation in infertility treatment alter smoking?
SUMMARY ANSWER
Self-report of smoking in infertile women with PCOS is accurate (based on serum cotinine levels) and smoking is unlikely to change over time with infertility treatment.
WHAT IS KNOWN ALREADY
Women with PCOS have high rates of smoking and it is associated with worse insulin resistance and metabolic dysfunction.
STUDY DESIGN, SIZE, DURATION
Secondary study of smoking history from a large randomized controlled trial of infertility treatments in women with PCOS (N = 626) including a nested case–control study (N = 148) of serum cotinine levels within this cohort to validate self-report of smoking.
PARTICIPANTS/MATERIALS, SETTING, METHODS
Women with PCOS, age 18–40, seeking fertility who participated in a multi-center clinical trial testing first-line ovulation induction agents conducted at academic health centers in the USA.
MAIN RESULT(S) AND THE ROLE OF CHANCE
Overall, self-report of smoking in the nested case–control study agreed well with smoking status as determined by measure of serum cotinine levels, at 90% or better for each of the groups at baseline (98% of never smokers had cotinine levels <15 ng/ml compared with 90% of past smokers and 6% of current smokers). There were minor changes in smoking status as determined by serum cotinine levels over time, with the greatest change found in the smoking groups (past or current smokers). In the larger cohort, hirsutism scores at baseline were lower in the never smokers compared with past smokers. Total testosterone levels at baseline were also lower in the never smokers compared with current smokers. At end of study follow-up insulin levels and homeostatic index of insulin resistance increased in the current smokers (P < 0.01 for both) compared with baseline and with non-smokers. The chance for ovulation was not associated with smoking status, but live birth rates were increased (non-significantly) in never or past smokers.
LIMITATIONS, REASONS FOR CAUTION
The limitations include the selection bias involved in our nested case–control study, the possibility of misclassifying exposure to second hand smoke as smoking and our failure to capture self-reported changes in smoking status after enrollment in the trial.
WIDER IMPLICATIONS OF THE FINDINGS
Because self-report of smoking is accurate, further testing of smoking status is not necessary in women with PCOS. Because smoking status is unlikely to change during infertility treatment, extra attention should be focused on smoking cessation in current or recent smokers who seek or who are receiving infertility treatment.
STUDY FUNDING/COMPETING INTEREST(S)
Sponsored by the Eugene Kennedy Shriver National Institute of Child Health and Human Development of the U.S. National Institutes of Health.
CLINICAL TRIAL REGISTRATION NUMBERS
ClinicalTrials.gov numbers, NCT00068861 and NCT00719186.
doi:10.1093/humrep/deu239
PMCID: PMC4227579  PMID: 25324541
cigarette smoking; anovulation; hyperandrogenism; infertility; obesity
21.  Smoking prevalence, readiness to quit and smoking cessation in HIV+ patients in Germany and Austria 
Journal of the International AIDS Society  2014;17(4Suppl 3):19729.
Introduction
Due to the interaction between smoking and the virus and the antiretroviral therapy, the excess health hazard due to smoking is higher in HIV+ patients than in the general population. International studies suggest a higher prevalence of smoking in HIV+ subjects compared to the general population. It was the aim of the study to assess prevalence of smoking, to analyze determinants of smoking, and to evaluate readiness to quit in HIV+ patients in Germany and Austria.
Material and Methods
Consecutive patients with positive tested HIV status, smokers and non-smokers, who are treated in seven different HIV care centres in Austria and Germany were included. Nicotine dependence was assessed with the Fagerström Test for Nicotine Dependency (FTND), and stages of change by a standardized readiness to quit questionnaire. Self-reported smoking status was objectified by measuring exhaled carbon monoxide levels. Smokers who wanted to quit were offered a structured smoking cessation programme, and those who did not want to quit received a 1-minute consultation. After six months, the smoking status of all included subjects was reassessed.
Results
A total of 447 patients were included; the response rate was 92%. Prevalence of smoking was 49.4%. According to a multivariate logistic regression analysis, lower age, male sex, lower educational level, and smoking of the partner were significantly associated with the smoking status. According to the FTND, 25.3% showed a low (0–2 points), 27.6 a moderate (3–4 points) and 47.1% a high (5–10 points) dependency. Regarding stages of change, 15.4% of the smokers were in the stadium precontemplation, 48.4 in contemplation, 15.4 in preparation and 10.0 in the stadium action. 11.0% were not assignable in any stadium. Higher education level and lower grade of dependency were significantly associated with the wish to quit smoking. Six months after the baseline examination, smoking cessation visits (at least one session) was performed in 28.5% of the smokers. 13% of the smokers have quit smoking, 23% have reduced smoking and 63% did not change smoking habits positively 6 months after the first visit.
Conclusions
Prevalence rates for smoking in HIV+ subjects are higher than in the general population. Readiness to quit is, however, high, and 13% of smokers who have quit smoking after six months is a remarkable short-term success. This observation underlines the importance and feasibility of addressing smoking habits in HIV care.
doi:10.7448/IAS.17.4.19729
PMCID: PMC4225294  PMID: 25397475
22.  Smoking and mental illness: results from population surveys in Australia and the United States 
BMC Public Health  2009;9:285.
Background
Smoking has been associated with a range of mental disorders including schizophrenia, anxiety disorders and depression. People with mental illness have high rates of morbidity and mortality from smoking related illnesses such as cardiovascular disease, respiratory diseases and cancer. As many people who meet diagnostic criteria for mental disorders do not seek treatment for these conditions, we sought to investigate the relationship between mental illness and smoking in recent population-wide surveys.
Methods
Survey data from the US National Comorbidity Survey-Replication conducted in 2001–2003, the 2007 Australian Survey of Mental Health and Wellbeing, and the 2007 US National Health Interview Survey were used to investigate the relationship between current smoking, ICD-10 mental disorders and non-specific psychological distress. Population weighted estimates of smoking rates by disorder, and mental disorder rates by smoking status were calculated.
Results
In both the US and Australia, adults who met ICD-10 criteria for mental disorders in the 12 months prior to the survey smoked at almost twice the rate of adults without mental disorders. While approximately 20% of the adult population had 12-month mental disorders, among adult smokers approximately one-third had a 12-month mental disorder – 31.7% in the US (95% CI: 29.5%–33.8%) and 32.4% in Australia (95% CI: 29.5%–35.3%). Female smokers had higher rates of mental disorders than male smokers, and younger smokers had considerably higher rates than older smokers. The majority of mentally ill smokers were not in contact with mental health services, but their rate of smoking was not different from that of mentally ill smokers who had accessed services for their mental health problem. Smokers with high levels of psychological distress smoked a higher average number of cigarettes per day.
Conclusion
Mental illness is associated with both higher rates of smoking and higher levels of smoking among smokers. Further, a significant proportion of smokers have mental illness. Strategies that address smoking in mental illness, and mental illness among smokers would seem to be important directions for tobacco control. As the majority of smokers with mental illness are not in contact with mental health services for their condition, strategies to address mental illness should be included as part of population health-based mental health and tobacco control efforts.
doi:10.1186/1471-2458-9-285
PMCID: PMC2734850  PMID: 19664203
23.  Water-Pipe Smoking and Metabolic Syndrome: A Population-Based Study 
PLoS ONE  2012;7(7):e39734.
Water-pipe (WP) smoking has significantly increased in the last decade worldwide. Compelling evidence suggests that the toxicants in WP smoke are similar to that of cigarette smoke. The WP smoking in a single session could have acute harmful health effects even worse than cigarette smoking. However, there is no evidence as such on long term WP smoking and its impact on chronic health conditions particularly cardiovascular and metabolic conditions. Therefore, we conducted this study to investigate the relationship between WP smoking and metabolic syndrome (MetS). This was a cross-sectional study carried out in Punjab province of Pakistan using the baseline data of a population-based study – Urban Rural Chronic Diseases Study (URCDS). Information was collected by trained nurses regarding the socio-demographic profile, lifestyle factors including WP smoking, current and past illnesses. A blood sample was obtained for measurement of complete blood count, lipid profile and fasting glucose level. MetS was ascertained by using the International Diabetic Federation’s criteria. We carried out multiple logistic regressions to investigate the association between WP smoking and MetS. Final sample included 2,032 individuals – of those 325 (16.0%) were current WP smokers. Age adjusted-prevalence of MetS was significantly higher among current WP smokers (33.1%) compared with non-smokers (14.8%). Water-pipe smokers were three times more likely to have MetS (OR 3.21, 95% CI 2.38–4.33) compared with non-smokers after adjustment for age, sex and social class. WP smokers were significantly more likely to have hypertriglyceridemia (OR 1.63, 95% CI 1.25–2.10), hyperglycaemia (OR 1.82, 95% CI 1.37–2.41), Hypertension (OR 1.95, 95% CI 1.51–2.51) and abdominal obesity (OR 1.93, 95% CI 1.52–2.45). However, there were no significant differences in HDL level between WP smokers and non-smokers. This study suggests that WP smoking has a significant positive (harmful) relationship with MetS and its components.
doi:10.1371/journal.pone.0039734
PMCID: PMC3407230  PMID: 22848361
24.  Association of Socioeconomic Status and Life-style Factors with Coping Strategies in Isfahan Healthy Heart Program, Iran 
Croatian Medical Journal  2009;50(4):380-386.
Aim
To investigate the association between life-style and socioeconomic factors and coping strategies in a community sample in Iran.
Method
As part of a community-based study called Isfahan Healthy Heart Program, we studied 17 593 individuals older than 19 living in the central part of Iran. Demographic and socioeconomic factors (age, sex, occupation status, marital status, and educational level) and lifestyle variables (smoking status, leisure time physical activity, and psychological distress), and coping strategy were recorded. Data were analyzed by Pearson correlation and multiple linear regression.
Results
Not smoking (women β = -11.293, P < 0.001; men β = -3.418, P = 0.007), having leisure time physical activity (women β = 0.017, P = 0.046; men β = 0.005, P = 0.043), and higher educational level (women β = 0.344, P = 0.015; men β = 0.406, P = 0.008) were predictors of adaptive coping strategies, while smoking (women β = 11.849, P < 0.001; men β = 9.336, P < 0.001), high stress level (women β = 1.588, P = 0.000; men β = 1.358, P < 0.001), and lower educational level (women β = -0.443, P = 0.013; men β = -0.427, P = 0.013) were predictors of maladaptive coping strategies in both sexes. Non-manual work was a positive predictor of adaptive (β = 4.983, P < 0.001) and negative predictor of maladaptive (β = -3.355, P = 0.023) coping skills in men.
Conclusion
Coping strategies of the population in central Iran were highly influenced by socioeconomic status and life-style factors. Programs aimed at improving healthy life-styles and increasing the socioeconomic status could increase adaptive coping skills and decrease maladaptive ones and consequently lead to a more healthy society.
doi:10.3325/cmj.2009.50.380
PMCID: PMC2728387  PMID: 19673038
25.  Occasional tobacco use among young adult women: a longitudinal analysis of smoking transitions 
Tobacco Control  2007;16(4):248-254.
Objective
To describe prospective transitions in smoking among young adult women who were occasional smokers, and the factors associated with these transitions, by comparing sociodemographic, lifestyle and psychosocial characteristics of those who changed from occasional smoking to daily smoking, non‐daily smoking or non‐smoking.
Design
Longitudinal study with mailed questionnaires.
Participants/setting
Women aged 18–23 years in 1996 were randomly selected from the Medicare Australia database, which provides the most complete list of people in Australia.
Main outcome measures
Self‐reported smoking status at survey 1 (1996), survey 2 (2000) and survey 3 (2003), for 7510 participants who took part in all three surveys and who had complete data on smoking at survey 1.
Results
At survey 1, 28% (n = 2120) of all respondents reported smoking. Among the smokers, 39% (n = 829) were occasional smokers. Of these occasional smokers, 18% changed to daily smoking at survey 2 and remained daily smokers at survey 3; 12% reported non‐daily smoking at surveys 2 and 3; 36% stopped smoking and remained non‐smokers; and 33% moved between daily, non‐daily and non‐smoking over surveys 2 and 3. Over the whole 7‐year period, approximately half stopped smoking, one‐quarter changed to daily smoking and the remainder reported non‐daily smoking. Multivariate analysis identified that a history of daily smoking for ⩾6 months at baseline predicted reversion to daily smoking at follow‐up. Being single and using illicit drugs were also associated with change to daily or non‐daily smoking, whereas alcohol consumption was associated with non‐daily smoking only. Compared with stopping smoking, the change to daily smoking was significantly associated with having intermediate educational qualifications. No significant associations with depression and perceived stress were observed in the multivariate analysis.
Conclusions
Interventions to reduce the prevalence of smoking among young women need to take account of occasional smokers, who made up 39% of all smokers in this study. Targeted interventions to prevent the escalation to daily smoking and to promote cessation should allow for the social context of smoking with alcohol and other drugs, and social and environmental influences in vocational education and occupational settings.
doi:10.1136/tc.2006.018416
PMCID: PMC2598537  PMID: 17652240

Results 1-25 (1807296)