The independent role of prenatal and postnatal exposure to active and passive smoking on the development of early wheeze in children.

Maternal smoking during pregnancy increases childhood asthma risk, but health effects in children of nonsmoking mothers passively exposed to tobacco smoke during pregnancy are unclear. We examined the association of maternal passive smoking during pregnancy and wheeze in children aged ≤2 years.Individual data of 27 993 mother-child pairs from 15 European birth cohorts were combined in pooled analyses taking into consideration potential confounders.Children with maternal exposure to passive smoking during pregnancy and no other smoking exposure were more likely to develop wheeze up to the age of 2 years (OR 1.11, 95% CI 1.03-1.20) compared with unexposed children. Risk of wheeze was further increased by children's postnatal passive smoke exposure in addition to their mothers' passive exposure during pregnancy (OR 1.29, 95% CI 1.19-1.40) and highest in children with both sources of passive exposure and mothers who smoked actively during pregnancy (OR 1.73, 95% CI 1.59-1.88). Risk of wheeze associated with tobacco smoke exposure was higher in children with an allergic versus nonallergic family history.Maternal passive smoking exposure during pregnancy is an independent risk factor for wheeze in children up to the age of 2 years. Pregnant females should avoid active and passive exposure to tobacco smoke for the benefit of their children's health.

Methodological Report on Kaul and Wolf's Working Papers on the Effect of Plain Packaging on Smoking Prevalence in Australia and the Criticism Raised by OxyRomandie

This report contains a methodological assessment of two working papers by Ashok Kaul and Michael Wolf on the effect of plain packaging on smoking prevalence in Australia and the criticism raised against these working papers by OxyRomandie. First, the potential of the data used by Kaul and Wolf for identifying causal effects is discussed. Second, a reanalysis of the data is provided. Third, the criticism raised by OxyRomandie is commented.

Primary lung cancer after breast cancer: The role of radiation therapy and cigarette smoking

The magnitude of the interaction between cigarette smoking, radiation therapy, and primary lung cancer after breast cancer remains unresolved. This case control study further examines the main and joint effects of cigarette smoking and radiation therapy (XRT) among breast cancer patients who subsequently developed primary lung cancer, at The University of Texas M. D. Anderson Cancer Center (MDACC) in Houston, Texas. Cases (n = 280) were women diagnosed with primary lung cancer between 1955 and 1970, between 30–89 years of age, who had a prior history of breast cancer, and were U.S. residents. Controls (n = 300) were randomly selected from 37,000 breast cancer patients at MDACC and frequency matched to cases on age at diagnosis (in 5-year strata), ethnicity, year of breast cancer diagnosis (in 5-year strata), and had survived at least as long as the time interval for lung cancer diagnosis in the cases. Stratified analysis and unconditional logistic regression modeling were used to calculate the main and joint effects of cigarette smoking and radiation treatment on lung cancer risk. Medical record review yielded smoking information on 93% of cases and 84% of controls, and among cases 45% received XRT versus 44% of controls. Smoking increased the odds of lung cancer in women who did not receive XRT (OR = 6.0, 95%CI, 3.5–10.1) whereas XRT was not associated with increased odds (OR = 0.5, 95%CI, 0.2–1.1) in women who did not smoke. Overall the odds ratio for both XRT and smoking together compared with neither exposure was 9.00 (9 5% CI, 5.1–15.9). Similarly, when stratifying on laterality of the lung cancer in relation to the breast cancer, and when the time interval between breast and lung cancers was >10 years, there was an increased odds for both smoking and XRT together for lung cancers on the same side as the breast cancer (ipsilateral) (OR = 11.5, 95% CI, 4.9–27.8) and lung cancers on the opposite side of the breast cancer (contralateral) (OR= 9.6, 95% CI, 2.9–0.9). After 20 years the odds for the ipsilateral lung were even more pronounced (OR = 19.2, 95% CI, 4.2–88.4) compared to the contralateral lung (OR = 2.6, 95% CI, 0.2–2.1). In conclusion, smoking was a significant independent risk factor for lung cancer after breast cancer. Moreover, a greater than multiplicative effect was observed with smoking and XRT combined being especially evident after 10 years for both the ipsilateral and contralateral lung and after 20 years for the ipsilateral lung. ^

Determining acquisition and cessation antecedents to adolescent cigarette smoking for development of intervention strategies

Our national focus and emphasis on the promotion of healthy behavior choices regarding tobacco and other drugs continues to target adolescents. Multiple studies have shown that adolescence is the optimum period for the prevention of substance use initiation as life-long patterns of health behaviors are established during this critical developmental stage. Tobacco use is associated with an increase in morbid and mortal health conditions of which prevalence increases throughout the lifespan. Attention to the antecedents of preventable health conditions aims to modify the risks and identify health promotion factors. Modifying antecedent factors for tobacco initiation in youth and identifying protective factors for successful smoking cessation has major public health implications across the lifespan. Of foremost interest are those risk factors and resultant behaviors that predict a youth's probability of initiating cigarette use and their cessation of cigarette use. Specifically, this dissertation supports previous results identifying intervention variables on the initiation/cessation continuum model especially with the established predictors of smoking (decisional balance and susceptibility) and with more recently identified predictors of smoking (nicotine dependence and withdrawal symptoms) in current and former smokers in a sample of high school students in Austin and Houston, Texas. These results offer insight for the development of appropriate intervention program strategies for our youth. ^

Janissaire-Tschausch-Fourier d'une oda en Habit de Cérémonies

Croqué d'apres Nature p. le B. de G. ; gravé p. J. C. Kilian

Sociodemographic characteristics as predictors of successful smoking cessation among a group of Hispanic Spanish speaking smokers

Few studies have examined predictors of smoking abstinence among Hispanic groups. The purpose of this dissertation was to examine the relations of sociodemographic characteristics and smoking related factors with smoking abstinence among a group of Hispanic Spanish speaking smokers. This study utilized previously collected data from Hispanic Spanish-speaking smokers (N = 246) who participated in a study entitled Smoking Cessation Services for Hispanic Smokers in Texas. ^ The first study examined sociodemographic characteristics and smoking related mechanisms that predicted smoking abstinence among this group. Two of the characteristics were related to smoking abstinence, marital status and acculturation level. Being unmarried increased the likelihood of being abstinent at the 12 week assessment (OR = 1.80). Those in the high acculturation group were twice as likely to be abstinent (OR = 2.24). Of the smoking related mechanisms, those with higher positive reinforcement expectancies were less likely to be abstinent (OR = .86), as were those with a higher level of affiliative attachment (OR = .86), a higher level of craving (OR = .78) and a higher tolerance to the effect of smoking (OR = .74). The second study was to examine the relationship of objective measures of socioeconomic status (SES) (income, education, or employment) with smoking abstinence among this group. This study also compared the relationship of a subjective measure of SES (Social Status Ladder) to smoking abstinence. None of the objective measures of SES were related to smoking abstinence at the 12 week assessment. The subjective measure of SES did predict smoking abstinence (OR = 1.9) indicting that those that rated themselves ≤4 on the SES scale were more likely to be abstinent. ^ Although this group was recruited using various methods across the state of Texas, the fact that they preferred to interact with the counselor in Spanish may limit the study findings. The results of this study highlight the need for research to examine specific subgroups of people and understand the special circumstances that influence their health behaviors. Furthering our knowledge of the relations between sociodemographic characteristics and smoking cessation could lead to interventions that reduce disparities in smoking cessation. ^

Effect of maternal weight status on the relationship between prenatal smoking and infant birth weight

The purpose of this study was to assess the effect of maternal pre-pregnancy weight status on the relationship between prenatal smoking and infant birth weight (IBW). Prenatal cigarette smoking and maternal weight exert opposing effects on IBW; smoking decreases birth weight while maternal pre-pregnancy weight is positively correlated with birth weight. As such, mutual effect modification may be sufficiently significant to alter the independent effects of these two birth weight correlates. Finding of such an effect has implications of prenatal smoking cessation education. Perception of risk is an important determinant of smoking cessation, and reduced or low birth weight (LBW) as a smoking-associated risk predominates prenatal smoking counseling and education. In a population such as the US, where obesity is becoming epidemic, particularly among minority and low-income groups, perception of risk may be lowered should increased maternal size attenuate the effect of smoking. Previous studies have not found a significant interaction effect of prenatal smoking and maternal pre-pregnancy weight on IBW; however, use of self-reported smoking status may have biased findings. Reliability of self-reported smoking status reported in the literature is variable, with deception rates ranging from a low of 5% to as high as 16%. This study, using data from a prenatal smoking cessation project, in which smoking status was validated by saliva cotinine, was an opportunity to assess effect modification of smoking and maternal weight using biochemically determined smoking status in lieu of self report. Stratified by saliva cotinine, 151 women from a prenatal smoking cessation cohort, who were 18 years and older and had full-term, singleton births, were included in this study. The effect of smoking in terms of mean birth weight across three levels of maternal pre-pregnancy weight was assessed by general linear modeling procedures, adjusting for other known correlates of IBW. Effect modification was marginally significant, p = .104, but only with control for differential effects among racial/ethnic groups. A smaller than planned sample of nonsmokers, or women who quit smoking during the pregnancy, prohibited rejection of the null hypothesis of no difference in the effect of smoking across levels of pre-pregnancy weight. ^

The role of smoking status on postoperative complications and survival in lung cancer patients presenting to M.D. Anderson Cancer Center

It is estimated that 50% of all lung cancer patients continue to smoke after diagnosis. Many of these lung cancer patients who are current smokers often experience tremendous guilt and responsibility for their disease, and feel it might be too late for them to quit smoking. In addition, many oncologists may be heard to say that it is 'too late', 'it doesn't matter', 'it is too difficult', 'it is too stressful' for their patients to stop smoking, or they never identify the smoking status of the patient. Many oncologists feel unprepared to address smoking cessation as part of their clinical practice. In reality, physicians can have tremendous effects on motivating patients, particularly when patients are initially being diagnosed with cancer. More information is needed to convince patients to quit smoking and to encourage clinicians to assist patients with their smoking cessation. ^ In this current study, smoking status at time of lung cancer diagnosis was assessed to examine its impact on complications and survival, after exploring the reliability of smoking data that is self-reported. Logistic Regression was used to determine the risks of smoking prior to lung resection. In addition, survival analysis was performed to examine the impact of smoking on survival. ^ The reliability of how patients report their smoking status was high, but there was some discordance between current smokers and recent quitters. In addition, we found that cigarette pack-year history and duration of smoking cessation were directly related to the rate of a pulmonary complication. In regards to survival, we found that current smoking at time of lung cancer diagnosis was an independent predictor of early stage lung cancer. This evidence supports the idea that it is "never too late" for patients to quit smoking and health care providers should incorporate smoking status regularly into their clinical practice.^

Gene by smoking interaction in blood pressure

Hypertension (HT) is mediated by the interaction of many genetic and environmental factors. Previous genome-wide linkage analysis studies have found many loci that show linkage to HT or blood pressure (BP) regulation, but the results were generally inconsistent. Gene by environment interaction is among the reasons that potentially explain these inconsistencies between studies. Here we investigate influences of gene by smoking (GxS) interaction on HT and BP in European American (EA), African American (AA) and Mexican American (MA) families from the GENOA study. A variance component-based method was utilized to perform genome-wide linkage analysis of systolic blood pressure (SBP), diastolic blood pressure (DBP), and HT status, as well as bivariate analysis for SBP and DBP for smokers, non-smokers, and combined groups. The most significant results were found for SBP in MA. The strongest signal was for chromosome 17q24 (LOD = 4.2), increased to (LOD = 4.7) in bivariate analysis but there was no evidence of GxS interaction at this locus (p = 0.48). Two signals were identified only in one group: on chromosome 15q26.2 (LOD = 3.37) in non-smokers and chromosome 7q21.11 (LOD = 1.4) in smokers, both of which had strong evidence for GxS interaction (p = 0.00039 and 0.009 respectively). There were also two other signals, one on chromosome 20q12 (LOD = 2.45) in smokers, which became much higher in the combined sample (LOD = 3.53), and one on chromosome 6p22.2 (LOD = 2.06) in non-smokers. Neither peak had very strong evidence for GxS interaction (p = 0.08 and 0.06 respectively). A fine mapping association study was performed using 200 SNPs in 30 genes located under the linkage signals on chromosomes 15 and 17. Under the chromosome 15 peak, the association analysis identified 6 SNPs accounting for a 7 mmHg increase in SBP in MA non-smokers. For the chromosome 17 linkage peak, the association analysis identified 3 SNPs accounting for a 6 mmHg increase in SBP in MA. However, none of these SNPs was significant after correcting for multiple testing, and accounting for them in the linkage analysis produced very small reductions in the linkage signal. ^ The linkage analysis of BP traits considering the smoking status produced very interesting signals for SBP in the MA population. The fine mapping association analysis gave some insight into the contribution of some SNPs to two of the identified signals, but since these SNPs did not remain significant after multiple testing correction and did not explain the linkage peaks, more work is needed to confirm these exploratory results and identify the culprit variations under these linkage peaks. ^

The association between smoking marijuana and the occurrence of lung cancer

It is still unclear if an association exists between the smoking of marijuana and the occurrence of lung cancer although one clearly exists between cigarette smoking and lung cancer. The objective of this study was to systematically review the literature in order to assess the impact of marijuana smoking, which is increasingly becoming a significant public health issue, on the occurrence of the number one killing cancer, lung cancer. ^ Method. Selected studies in the English language conducted on humans that assess the impact of marijuana smoking on lung cancer were identified from EBSCO MEDLINE, PUBMED, and GOOGLE databases. The search keywords were marijuana, cannabis, hashish, kif, and lung cancer with selection criteria including studies in the English language identified from 1950 to April 2008. Excluded were non-research studies such as editorials, letters, and reviews. Also excluded were studies that did not involve humans with direct intentional marijuana smoking or in vivo studies with mice. Case report studies or case series studies involving less than 10 patients were also excluded as well as studies that did not examine lung conditions related to premalignant or cancerous changes. ^ Results. Ten studies met the selection criteria and were analyzed. The ten studies in this review overall offer biological evidence of the potential association between marijuana smoking and premalignant lung findings but no overwhelming conclusive evidence for the association between marijuana smoking and the occurrence of lung cancer. Two of the observational studies [1, 2] failed to demonstrate an association between marijuana and lung cancer, but the remaining studies supported an association between marijuana smoking and premalignant or malignant lung findings. ^ Conclusion. It must, therefore, be concluded that no convincing evidence exists, based on the existing data, for an association between marijuana smoking and the occurrence of lung cancer even though the few observational studies failing to report such an association may be due to certain limitations particularly the relative young age of the participants precluding sufficient lag time for the identification of lung cancer outcome as explained in other sections of this paper. ^ Further research is, therefore, necessary to better evaluate this critical issue, while recommendations against smoking marijuana because of its potential harmful effects, including the potential for premalignant lung changes as noted in this review, should continue to be made. ^ In the future, large prospective studies with study participants representing a much wider spectrum of ages, and longer follow-up periods, with detailed assessment of marijuana exposure and definitive pathologic diagnosis of lung cancer are necessary^

Factors associated with smoking cessation using the 2005 National Health Interview Survey

Objectives. The objective of this study is to compare the socio-demographic, behavioral, and access to care characteristics of smokers who have quit smoking for one or more years and current smokers who have made an attempt to quit smoking within the last year. ^ Methods. Data from the 2005 National Health Interview Survey (NHIS) were used to compare current smokers who have tried to quit (n=2747) and former smokers who have quit for one or more years (n=6194). The data was analyzed using STATA 9.0 to perform statistical calculations. ^ Results. Age, education, race and income were associated with smoking status. Respondents aged 65 and older were 36 times more likely to have quit smoking. Education and income had higher odds ratios among quitters (OR=1.27 and OR=1.21) and Non-Hispanic Whites were the most likely to have quit smoking compared to Hispanics and Blacks. Adults with health insurance coverage were 3.44 times more likely to have quit smoking. ^ Discussion. Existing research suggests that individual factors relating to demographics behavior and access to care can impact a smoker's ability to quit smoking. This paper discusses the factors that affect cessation and which populations would benefit from additional research and targeted smoking cessation programs. ^