Thesis (Ph.D.)--University of Wisconsin--Madison, 2006 / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 125-129).

Thesis (B.A. (Hons.)) - University of Queensland, 2005. / Includes bibliography.

Thesis (M. CM)--Hong Kong Baptist University, 2006. / Dissertation submitted to the School of Chinese Medicine. Includes bibliographical references (leaves 24-26).

Thesis (Ph.D.)--University of Wisconsin--Madison, 2006 / Includes bibliographical references (p. 125-129). Also available on the Internet.

Background: Throughout industrialized countries, tobacco consumption is seen as the predominant driver of both the trend and the extent of gender differences in life expectancy. However, several factors raise doubts to this generalization. We hypothesize that the impact of smoking on the gender gap is context-specific and differs between populations. Methods: We decompose the gender differences in life expectancy into fractions caused by smoking and other non-biological factors for 53 industrialized countries and the period 1955-2009 to assess the significance of smoking among the causes that can be influenced by direct or indirect interference. Results: The trend of the gender gap can indeed be attributed to smoking in most populations of the western world. However, with regard to the overall extent of male excess mortality, smoking is the main driver only in the minority of the studied populations. While the impact of smoking to gender differences in life expectancy declines in all populations, the contribution of other non-biological factors is in most cases higher at the end than at the beginning of the observation period. Conclusions: Over-generalized statements suggesting that smoking is the main driver of the gender gap in all populations can be misleading. The results of this study demonstrate that - regardless of the prevailing effect of smoking - many populations have still remarkable potentials to further narrow their gender gaps in life expectancy. Although measures to further reduce the prevalence of tobacco consumption must be continued, more attention should be directed to the growing importance of other non-biological factors.

Class of 2005 Abstract / Objectives: Describe the prevalence of alcohol and tobacco use in college women who use emergency contraception (EC) or oral contraceptives. Methods: This study was a descriptive, retrospective study that utilized patient charts to obtain clinical data including emergency contraception utilization, hormonal contraception utilization, alcohol and tobacco use. The primary dependent variables were smoking status and alcohol use. The overall prevalence of alcohol and tobacco use was calculated by counting the total number and percentage for each substance. Determining if descriptive variables vary according to type of contraception, groups were compared using a t-test for independent groups and a Chi square, respectively. The a priori alpha level is 0.05. Results: The most important finding in this study is students that obtained EC reported drinking alcohol at a significantly higher level than students who used hormonal contraception. 49% of students who used EC reported drinking 5 or more drinks a week. The data for the alcohol use was the only data that was found to be statistically significant (p<0.05). In this study 22% of students who requested EC had unprotected sex. A positive result seen in this study was that only 2% of the EC students requested EC more than once in the spring semester. Freshman composed 54% of the students that used EC during this study. Other data that was of interest was that 33% of students that used EC were currently using oral contraception but only 25% claimed that oral contraception incompliance was the reason for EC utilization. Implications: Prevalence of alcohol use is significantly higher in students who use EC than students who used hormonal contraception. This leads to the conclusion that students that use alcohol are more likely to engage in unprotected sex and therefore request EC. This study also has shown that nurses and physicians need to get more accurate information from students regarding tobacco and alcohol use.

This dissertation 1) described prevalence and correlates of poly-tobacco use among US youth and young adults; 2) addressed positive and negative transitions of e-cigarettes among US youth and adults and 3) examined the 2-year transition of dual e-cigarette/cigarette use among US adults in relation to nicotine dependence (ND) symptoms, interest in quitting, and cardiovascular disease (CVD) factors. Data from 2013-2016 of the Population Assessment of Tobacco and Health Study were used. In the first study, 3.6% of youth (12-17years) and 18.3% of young adults (18-34years) were current poly-tobacco users between 2013-2014. Common poly-tobacco products combination was cigarettes and e-cigarettes for youth and young adults. Among youth, heavy drinking was associated with higher odds of poly-tobacco use. Factors associated with higher odds of poly-tobacco use among young adults included males, younger adults (18-24years), those with lower levels of educational attainment, residing in the South, heavy drinking, and marijuana use. In the second study, between 2013-2016, e-cigarette use increased only in youth. Young e-cigarette users were more likely to be never cigarette smokers compared to older users. Among youth e-cigarette users at each wave, the proportion of never cigarette smokers rose from 24.1% in Wave 1 to 42.6% in Wave 3 (p=0.0001 for trends). Among adult e-cigarette dual users in Wave 1, 8.8% transitioned to no tobacco use at Wave 3, 6.2% to mono e-cigarette use, while 85% either relapsed to cigarettes (53.5%) or continued dual use (31.5%). In the final study, among 1,870 adult dual tobacco users from Wave 1, 25·8% (95% CI 23·5-28·3) remained dual users 2 years later, 11·9% (95% CI 10·5-13·5) reported no tobacco use (cessation transition), 7·0% (95% CI 5·5-8·7) reported e-cigarette mono use (harm reduction transition), and 55·3% (95% CI 52·6-58·0) reported cigarette mono use (relapse transition). In the adjusted regression analysis, ND severity was associated with lower odds of cessation (OR 0·36; 95% CI 0·15-0·88) and harm reduction (OR 0·18; 95% CI 0·04-0·82) transitions. Interest in quitting and CVD factors were not associated with cessation or harm reduction. Collectively, our study findings emphasize the need for stricter tobacco regulatory policies to prevent another tobacco epidemic.

The prevalence of tobacco use among blue-collar workers such as construction artisans is disproportionately higher than in the general population, yet very limited studies have been conducted about such workers in Nigeria, the most populous country in sub-Sahara African (SSA). Therefore, this study aims to assess the prevalence and the associated risk factors of tobacco use among construction artisans in Ekiti State, Nigeria. This cross-sectional study employed a multi-stage stratified sampling technique to select participants (carpenters and bricklayers) artisans, journeymen, and their apprentices who were working in Ekiti State. Chi-square and logistic regression were conducted to delineate factors that are associated with tobacco use in this population. The results show that the prevalence of ever-smoke amongst respondents was 19.3%, and multivariate analysis showed that artisans who were within the age range 31-40 years were four times more likely to use tobacco (aOR=3.410; CI=1.476-7.878), compared with those that are less than 20 years. Additionally, being in school (aOR 2.007; CI= 1.026-3.927) and divorced/separated (aOR4.240; CI=1.307-13.759) were associated with tobacco use, compared with the respective populations. The increased prevalence of tobacco use among construction artisans is noteworthy, and few self-reported cases of addiction amongst users demand action from communities and government at all levels. There is need to improved access of artisans to accurate information and tailored messages on dangers of tobacco use. Moreover, smoking and worksite regulations and policies would be needed to curtail the smoking tendencies of these workers

Student. understanding and use of tobacco was studied under the following specific areas: specific knowledge as it relates to smoking and health; student opinions and attitudes toward smoking; smoking experience; and the influence of certain factors on smoking status. About 1155 students were sampled with the use of a questionnaire. It was found that there was no significant difference in the scores of boys and girls. The senior high students were better informed than the ninth grade or junior high students. The majority (81 percent) of all students surveyed were of the opinion that the pleasure derived from smoking was not worth the price a person has to pay in terms of health and expense. Five percent of the students indicated that their mothers smoked, and 69 percent indicated that their parents did not approve of their smoking. There were 6 percent of the students who smoked regularly (at least once a week) with another 34 percent smoking occasionally. The ninth grade percentage wise, smoke heavier (one-half pack or more daily) than any of the other groups.

Indiana University-Purdue University Indianapolis (IUPUI) / The smoking rate of low-income pregnant women is almost 4 times the rate for higher-income women. A better understanding of smoking within the low-income population is needed. The purpose of this dissertation was to study smoking and related factors for pregnant and postpartum women living in poverty. The first component used Rodger’s evolutionary concept analysis method and uncovered three attributes, four antecedents, and three consequences for smoking cessation. The second (N = 1,554) and third (N = 71,944) components were a secondary data analysis of first-pregnancy Medicaid-eligible women enrolled in the Nurse-Family Partnership program from 2011-2016. The second component explored patterns of smoking and depression and their associations. Eight distinct patterns of smoking and depression were found. Smokers were more likely than nonsmokers to have depressive symptoms at the end of pregnancy (OR = 1.37 [1.04, 1.81] and 12 months post-delivery (OR = 1.93 [1.47, 2.51]. The third component investigated covariates present during early pregnancy and their relationships with smoking status and sought to find best fitting predictive models. Multivariable logistic regression showed cigarette use in the 3 months prior to pregnancy and at program intake were significant predictors for smoking status at the end of pregnancy and 12 months post-delivery. Interactive Matrix Language, Structured Query Language, and iterations of logistic regression identified 5 covariates (high school education, cigarette use prior to pregnancy, smoking status at pregnancy baseline, depression, and self-mastery) for the best fitting model at the end of pregnancy and three additional covariates (post-secondary education, marital status, and race) for the 12 months post-delivery model. The area under the receiver operator characteristic curve was 0.9681 for the end of pregnancy model and 0.9269 for 12 months post-delivery model, indicating excellent prediction ability of the models. Results can be integrated in smoking prevention education, screening, and cessation intervention programs.