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Dissertations / Theses on the topic 'Smoking affects'

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1

Artyshchuk, O. "Study at twins' convention helps clarify how smoking affects facial aging." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/45260.

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We all know that smoking is bad influence on human health. Smoking causes many diseases and premature aging. This is best seen in the twins. Study at Twins' Convention Helps Clarify How Smoking Affects Facial Aging. Taking advantage of the annual Twin Days Festival, held in Twinsburg, Ohio, the researchers identified pairs of identical twins who differed by smoking history. In each pair, either one twin smoked and the other did not, or one twin smoked at least five years longer. Scores on several measures of facial aging were significantly worse for the smokers. The smokers had more sagging of the upper eyelids, as well as more bags of the lower eyelids and under the eyes. Twins who smoked also had higher scores for facial wrinkles, including more pronounced nasolabial folds, wrinkling of the upper and lower lips and sagging jowls. Twins with a longer duration of smoking had worse scores for bags on the lower lids and under the eyes and lower lip wrinkles.
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2

Hudson, Laura. "Smoking and negative affect." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423568.

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3

Litvin, Erika B. "Testing impulsivity as a moderator of smoking motivation following exposure to negative affect and smoking cues." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002329.

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4

Greene, Preston Archer. "how and when implicit attitudes about smoking affect decision making in the personal process of smoking cessation." Thesis, University of Maryland, Baltimore County, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3637322.

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<p> Recent theories of attitudes and cognition have made a distinction between explicit attitudes that are conscious, deliberate judgments people make when asked to do so, and implicit attitudes, or those that are made automatically and without conscious effort (Greenwald and Banaji, 1995). This study integrated research and theory of implicit attitudes about smoking with the Transtheoretical Model's understanding of the process individuals go through as they quit smoking, to test the moderating effect of motivation to change on implicit smoking attitudes and to evaluate the indirect (mediated) effects of implicit smoking attitudes on cigarette demand through explicit smoking attitudes. Participants were <i>N</i>=283 daily smokers who completed an online survey that measured characteristics of their smoking, motivational Readiness to change, decisional balance considerations (Pros and Cons of smoking), and demand for cigarettes (Cigarette Purchase Task), before completing the Smoking Implicit Association Test. Results of multiple regression analyses indicated that as implicit attitudes about smoking became more positive, smokers reported on average more explicit positive attitudes (Pros of smoking) about smoking and less negative explicit attitudes (Cons of smoking) about smoking, beyond the effect Readiness for change had on those explicit smoking attitudes. Readiness to change did not moderate the effect of implicit smoking attitudes on decisional balance considerations. Decisional balance considerations were important predictors of smoker's responses on the smoking purchase task and accounted for the relationship between implicit smoking attitudes and choices on a hypothetical smoking purchase task. More positive implicit smoking attitudes indirectly predicted that smokers would purchase cigarettes at higher average prices before consumption dropped to zero, greater average maximum financial expenditure on cigarettes, and higher average price at which expenditure was maximized. These results may be useful for understanding how cigarette prices affect attitudes about smoking and increase the likelihood that people will quit.</p>
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5

Wang, Ling. "Retail Environment Features that Affect Smoking Behavior in Changsha, China." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437651533.

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6

Cane, James E. "Smoking Attentional bias : The Role of Automaticity, affect and cognitive control." Thesis, University of Kent, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509647.

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7

McCormick, Sean. "SOCIAL PROBLEM-SOLVING, NEGATIVE AFFECT, AND SMOKING URGE REACTIVITY DURING BASELINE CUE EXPOSURE." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/321190.

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Public Health<br>Ph.D.<br>Introduction: Despite advances in smoking cessation interventions, the majority of smokers who seek treatment will relapse. To better understand nicotine dependence, and relapse risk factors this study tested for potential relationships between social problem-solving, negative affect, and smoking urges during a baseline smoking cue exposure trial. Methods: aA part of a larger cessation study. 51 male and 50 female physically inactive, sedentary smokers with the intention to quit smoking, and bioverified smoking abstinence (CO < 11ppm) completed demographic questionnaires, the Social Problem-Solving Inventory-Revised: Short-Form, and questionnaires related to smoking history and demographic characteristics. In addition, participants completed a baseline 5-minute relaxation session followed by a 5-minute imaginal and in vivo smoking cue exposure trial. Participants completed pre and post cue exposure measures of urge and affect. Analysis: t-tests were used to validate the effect of cue exposure procedures on urge and negative affect. Multivariate linear regression models assessed the strength of possible relationships between social problem-solving, gender, negative affect, and urge to smoke. Results: Smoking urge and negative affect significantly increased from pre to post exposure. Women and men did not differ on any measure of social problem-solving, affect, or smoking urge. In regression models, the social problem-solving composite score was not statistically associated with post-cue exposure urge strength (as measured by the Questionnaire for Smoking Urges-Brief) when controlling for cigarettes per day or level of nicotine dependence. Greater pre-test negative problem orientation was significantly correlated with pre-post increases in negative affect (a predictor of relapse). In models with a gender and negative problem orientation interaction, negative problem orientation became a stronger predictor of negative affect, although the interaction term was non-significant. Impulsive-careless problem-solving styles and negative affect were also found to be significantly associated with post-exposure urge strength. Conclusions: A 5-minute smoking cue exposure trial produced a reliable increase in smoking urge and negative affect among treatment-seeking smokers who were abstinent for at least three hours. Future research of social problem-solving, stress and coping and negative affect within cue reactivity paradigms may provide insights for integrating cue exposure treatments and counseling-based smoking cessation interventions.<br>Temple University--Theses
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8

Memetovic, Jasmina. "The relationship between personality- and affect-related traits, gender and intention to try smoking." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44207.

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9

Marquinez, Nicole S. "Testing Individual Differences in Negative Affect Related to Smoking| The Role of Emotional Clarity." Thesis, University of South Florida, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1554184.

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<p> Negative affect plays a critical role in nicotine dependence. Smokers report feeling that negative affect is a primary motivation to keep smoking. This study examined the relationship between individual differences in emotional experience, in particular emotional clarity and differentiation (individuals' ability to understand, describe, and differentiate between emotions), and smoking motivation. We hypothesized that emotional clarity would be related to affect, craving, and smoking satisfaction. A second goal was to test the ability of an emotional-labeling intervention to reduce negative affect and smoking motivation resulting from a negative emotion induction. We also tested whether emotional clarity moderated the effect of the negative affect manipulation upon smoking-related variables. We hypothesized that emotional clarity would moderate the effect of the emotional-labeling manipulation upon affect, craving, and smoking satisfaction. A correlational and two-group between-subjects design was used. Participants (170 participants; 86 males) first completed baseline measures, then received a mood induction (via video). They then were randomized to one of two conditions (emotion labeling and writing control). Results indicate that emotional clarity was related to affect, craving, and smoking satisfaction ratings, such as those higher on emotional clarity reported more positive affect, less cravings, and having experienced aversive effects after smoking. We found no effect of the emotional labeling task. Although we replicated findings from previous studies showing a relationship between emotional clarity and mood, this study is the first to establish such a relationship with craving for a cigarette and aspects of smoking satisfaction.</p>
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10

Lucas, Kevin. "The relationship between beliefs, attitudes, negative affect and changes in smoking behaviour during pregnancy." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358177.

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11

Marquinez, Nicole. "Testing Individual Differences in Negative Affect Related to Smoking: The Role of Emotional Clarity." Scholar Commons, 2013. https://scholarcommons.usf.edu/etd/5067.

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Negative affect plays a critical role in nicotine dependence. Smokers report feeling that negative affect is a primary motivation to keep smoking. This study examined the relationship between individual differences in emotional experience, in particular emotional clarity and differentiation (individuals' ability to understand, describe, and differentiate between emotions), and smoking motivation. We hypothesized that emotional clarity would be related to affect, craving, and smoking satisfaction. A second goal was to test the ability of an emotional-labeling intervention to reduce negative affect and smoking motivation resulting from a negative emotion induction. We also tested whether emotional clarity moderated the effect of the negative affect manipulation upon smoking-related variables. We hypothesized that emotional clarity would moderate the effect of the emotional-labeling manipulation upon affect, craving, and smoking satisfaction. A correlational and two-group between-subjects design was used. Participants (170 participants; 86 males) first completed baseline measures, then received a mood induction (via video). They then were randomized to one of two conditions (emotion labeling and writing control). Results indicate that emotional clarity was related to affect, craving, and smoking satisfaction ratings, such as those higher on emotional clarity reported more positive affect, less cravings, and having experienced aversive effects after smoking. We found no effect of the emotional labeling task. Although we replicated findings from previous studies showing a relationship between emotional clarity and mood, this study is the first to establish such a relationship with craving for a cigarette and aspects of smoking satisfaction.
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12

Zhao, Zongmin. "Factors that Affect the Immunogenicity of Lipid-PLGA Nanoparticle-Based Nanovaccines against Nicotine Addiction." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/88033.

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Tobacco smoking has consistently been the leading cause of preventable diseases and premature deaths. Currently, pharmacological interventions have only shown limited smoking cessation efficacy and sometimes are associated with severe side effects. As an alternative, nicotine vaccines have emerged as a promising strategy to combating nicotine addiction. However, conventional conjugate nicotine vaccines have shown limited ability to induce a sufficiently strong immune response due to their intrinsic shortfalls. In this study, a lipid-poly(lactic-co-glycolic acid) (PLGA) nanoparticle-based next-generation nicotine vaccine has been developed to overcome the drawbacks of conjugate nicotine vaccines. Also, the influence of multiple factors, including nanoparticle size, hapten density, hapten localization, carrier protein, and molecular adjuvants, on its immunogenicity has been investigated. Results indicated that all these studied factors significantly affected the immunological efficacy of the nicotine nanovaccine. First, 100 nm nanovaccine was found to elicit a significantly higher anti-nicotine antibody titer than the 500 nm nanovaccine. Secondly, the high-density nanovaccine exhibited a better immunological efficacy than the low- and medium-density counterparts. Thirdly, the nanovaccine with hapten localized on both carrier protein and nanoparticle surface induced a significantly higher anti-nicotine antibody titer and had a considerably better ability to block nicotine from entering the brain of mice than the nanovaccines with hapten localized only on carrier protein or nanoparticle surface. Fourthly, the nanovaccines carrying cross reactive materials 197 (CRM197) or tetanus toxoid (TT) showed a better immunological efficacy than the nanovaccines using keyhole limpet hemocyanin (KLH) or KLH subunit as carrier proteins. Finally, the co-delivery of monophosphoryl lipid A (MPLA) and Resiquimod (R848) achieved a considerably higher antibody titer and brain nicotine reduction than only using MPLA or R848 alone as adjuvants. Collectively, the findings from this study may lead to a better understanding of the impact of multiple factors on the immunological efficacy of the hybrid nanoparticle-based nicotine nanovaccine. The findings may also provide significant guidance for the development of other drug abuse and nanoparticle-based vaccines. In addition, the optimized lipid-PLGA hybrid nanoparticle-based nicotine nanovaccine obtained by modulating the studied factors can be a promising candidate as the next-generation nicotine vaccine for treating nicotine addiction.<br>PHD
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13

Beadman, M. E. "A comparison of cognitive reappraisal, defusion and suppression as emotion regulation strategies in smokers : effects on smoking behaviour, craving and affect." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1448222/.

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Aim: To compare the effects of emotion regulation strategies that target smoking-related thoughts on behavioural, affective and subjective correlates of smoking. Method: Seventy-five participants were sequentially allocated to cognitive defusion (n=25), reappraisal (n=25) or suppression (n=25) conditions and applied these strategies to thoughts associated with smoking during a cue-induced craving procedure in a single experimental session. Dependent variables included smoking behaviour, behavioural approach/avoidance bias, and subjective measures of experiential avoidance, cue-induced craving, and affect. Results: Defusion and reappraisal were associated with restraint in smoking behaviour in the immediate post-session period and a reduction in smoking at seven day follow-up compared to suppression. Benefits for smoking behaviour were associated with a reduction in craving in the reappraisal condition and a greater reduction in experiential avoidance in the defusion condition. Those in the suppression condition exhibited the strongest approach bias for smoking related cues but also rating the strategy as having lower credibility and treatment expectancy relative to the two other conditions. Conclusion: Defusion and reappraisal resulted in similar benefits in terms of smoking-related behavioural outcomes. However, defusion and reappraisal were associated with distinctive experiential and affective outcomes. The results are considered in the context of lower credibility and expectancy ratings in the suppression condition and discussed with reference to the development of Cognitive Therapy and Acceptance and Commitment Therapy for addiction-related disorders.
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14

Ibrahim, Mariam. "Tobacco Smoke and Asthma among Adults at the National and State Levels: Do Smoke-Free Laws and Regulations Affect Smoking Rate among those with Asthma?" Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/iph_theses/297.

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ABSTRACT Background: Asthma is a chronic lung disease that inflames and narrows the airways. This results in recurrent episodes of coughing, wheezing, shortness of breath, and chest tightness. Although the causes of asthma are poorly understood, genetic and environmental factors have been implicated in the development and exacerbation of the disease. Among environmental risk factors, cigarette smoke is a well-known risk factor to trigger asthma symptoms. Exposure to secondhand smoke irritates the airways and may trigger an attack in adults with asthma. Smoke-free laws and regulations in the United States differ by state. The enforcement of smoke-free legislation has been related to asthma rates as it has been shown that they lead to a sustained drop in emergency hospital admission for asthma among adults. These laws and regulations are also necessary in reducing smoking rate and secondhand smoke exposure. Objective: The purpose of this thesis is to examine the association between tobacco smoke rates and asthma status among adults at the national and state levels and to evaluate the effects of state smoke-free laws and regulations on tobacco smoking rate among adults with asthma. Methods: The Centers for Disease Control and Prevention’s 2009–2010 Behavioral Risk Factor Surveillance System data was used for the analyses. SAS-callable SUDAAN (version 10.0.0, RTI International, NC) was utilized to account for the complex sampling design of the BRFSS, and sample weights were used to produce estimates that were generalizable to the state and U.S. adult population. In addition to calculating descriptive statistics, chi-square tests and multivariate logistic regression were used to test for group differences and association between variables of interest. State level smoking rates were ranked to identify states that are in the lower and upper 20th percentiles and compare them with states’ smoke-free laws and regulation status. Results were considered significantly different if 95% confidence intervals (CIs) did not overlap or if statistical testing at p<0.05 was applicable. Results: Asthma prevalence rates are higher among adults that smoke cigarettes (10.5%, [aPR] =1.2) compared to non-smokers (7.8%, [aPR] =1.0). Of the 869,519 adult respondents in the survey, 8.5% reported having asthma. Nearly one-fifth (17.2%) of adults without asthma smoked cigarettes, while (21.7 %) of adults with asthma smoked. Females (10.5%) had higher asthma prevalence rates than males (6.4%). Black persons (10.0%), persons of American Indian (13.0%) descent had higher, and those of Hispanic (6.7%) descent had lower asthma rates than white persons (8.6%). Adults with a high school education or less (9.1%) had higher asthma rates than those with an education level that was equivalent to a 4 year college or more (7.3%) , and those with low income (<$15,000) had higher rates (13.3%) than those with high income (6.8%). Percentage of male (23.4%) and females (20.7%) with asthma who smoke are higher than those that do not smoke (19.3% and 15.1%, respectively). Asthma prevalence rates and smoking rates vary by geographic location. Smoking rates among adults with asthma was highest in the South (LA, AL, SC, TN, OK, MS, AR, WV, KY) and a couple of Midwest states (OH, IN,). Evaluating the association between the 2008 State of Tobacco Control Report and smoking rate among adults with asthma by state showed a statistically significant relationship between smoking rate among adults with asthma and smoke-free policy and regulation at the state and national level. On average, states with the lowest smoking rate among persons with asthma (smoking rates less than 20th percentile) had significantly higher smoke-free policy grades (mean grade [sd]=7.2 [1.99]) than states with a high smoking rate (smoking rate of 80th percentile or more) (mean grade [sd]=2.0 [2.00]) (p-value < 0.00001). Conclusion: Although most U.S. state smoke-free policies and regulations are relatively new, it is evident that these laws are effective in promoting cessation among adults and reducing nonsmokers’ exposure to secondhand smoke. The study found that smoke-free laws may improve health by lowering asthma prevalence and smoking rates among adult smokers. Also, these policies in turn protect non-smokers from the harmful health effects of secondhand smoke.
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15

Minami, Haruka. "An ecological momentary assessment analysis of relations among coping, affect, and smoking lapse." 2010. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052132.

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16

De, Walque Damien. "How do education and information affect health decisions? : the cases of HIV/AIDS and smoking /." 2003. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3097096.

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