Nervous Tension and Serum Cholesterol: Findings from the Chicago Coronary Prevention Evaluation Program

Abstract

Of 519 coronary-prone middle-aged men participating in the Chicago Coronary Prevention Evaluation Program, 416 reported their self-perceived state as one of no tension or tension at various periodic visits over years in the Program. Group mean serum cholesterol was significantly higher by about 4 mg/dl with tension vs. no tension (slight, moderate, or marked). This relationship was independent of weight change, intercurrent infection, use of medication, and month of year.     

Employee Stress Levels and the Intention to Participate in a Worksite Smoking Cessation Program

This study examines the nature and extent of the relationship between stress levels and intentions to participate in a worksite smoking cessation program among male current smokers (n = 220) employed in an automobile manufacturing plant. A plantwide survey was conducted which measured job stress, nonjob stress, smoking behavior, and intent to participate. The results of polychotomous logistic regressions suggest that among the current smokers in this plant, job and nonjob stress were positively associated with workers' intentions to participate in a worksite smoking cessation program. Thus, contrary to the popular notion that stress diminishes the motivation to quit, employees under high levels of stress may be most receptive to educational interventions intended to persuade smokers to commit to quitting.     

Delivering Tailored Smoking Cessation Support via Mobile Phone Text Messaging: A Feasibility and Acceptability Evaluation of the Quittext Program

Text messaging has emerged as a potentially useful tool to help smokers quit. This paper evaluates smokers' preferences for the Quittext program, which examines the feasibility and acceptability of delivering tailored smoking cessation advice via mobile phone text messaging. Thirty smokers completed a web‐based smoking behavior questionnaire and received 6 weeks of tailored text messages. Feedback was obtained via questionnaires and semistructured interviews. Smokers reported a preference for positive support, tailoring message content, and the ability to interact with the system. Delivering quitting advice by text message was considered feasible and acceptable. This research contributes to the literature; however, further intervention evaluation is warranted, with larger controlled studies needed to fully assess program feasibility and its effect on quit rates.     

Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Background

The QuitCoach, an “expert system” program of tailored advice for smoking cessation developed in Australia, has been publicly available since July 2003, albeit with limited promotion. The program is designed to be used on multiple occasions, guiding the user through the process of smoking cessation in the manner of a “life coach”. Email reminders are sent at scheduled intervals to prompt optimal and repeated use.

Objectives

The aims of this study were to characterize QuitCoach users and to determine what characteristics of smokers affect their participation over time. Of particular interest was whether users tend to return following a relapse and, thus, use the program as a tool for relapse prevention or recovery. We also explored patterns of change associated with returns to the site, whether prompted by reminder emails or not prompted at all.

Methods

Between July 2003 and June 2007, 28,247 individuals completed an initial assessment on the QuitCoach, of whom 83.7% (n = 23,656) registered. Data were collected during a 10-minute online questionnaire that all users completed in order to obtain tailored cessation advice. This included questions concerning basic demographic information, quitting history, current smoking status and cigarette consumption, stage of change, and use of pharmacotherapy.

Results

The median age of users was 34 years, and 62% were female. Most (96%) were current smokers. Overall, 91% were planning to quit in the next 30 days, and half (49.9%) had set a quit date. Those who had recently relapsed to smoking following a quit attempt made up 37%. Among registered users, 27% returned for a second visit, a median 9 days after their first. Overall, a third visit was completed by 11% and 2% returned within 2 days. Women, older smokers, those who had recently quit, and those using pharmacotherapy were more likely to return. From the second visit on, most people who completed an assessment had quit. Likelihood of responding to a prompt to return was largely unrelated to user characteristics or cessation outcome.

Conclusions

Internet-based programs have considerable potential to reach large numbers of smokers at low cost. The QuitCoach is attracting considerable use, with most using it to make a quit attempt and, for those who continue to use the QuitCoach, to help them stay quit. Nonetheless, most users only visited the site once, suggesting improved strategies are needed for encouraging repeated use.     

A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial

BackgroundDespite promising data in Western countries, there is a dearth of research into the efficacy of text messaging-based smoking cessation programs in other settings, including the Middle East, where smoking prevalence rates are higher.ObjectiveThis paper reports cessation rates observed in SMS Turkey, a text messaging-based smoking cessation program for adult smokers in Ankara, Turkey.MethodsThis study was a small-scale, parallel-group randomized controlled trial (RCT) conducted in Ankara, Turkey. Participants were adult daily smokers who were seriously thinking about quitting in the next 15 days and living in Ankara, Turkey. The text messaging intervention, SMS Turkey, provided 6 weeks of daily messages aimed at giving participants skills to help them quit smoking. Messages were sent in an automated fashion, except 2 days and 7 days after the initial quit day. On days 2 and 7, the research assistant manually assigned participants to content “paths” based on whether they were still not smoking or had relapsed. The control arm received a brochure that provided similar information about smoking cessation. The main outcome measure was self-reported 3-month sustained abstinence, verified by carbon monoxide (CO) readings. Neither participants nor researchers were blinded to arm assignment.ResultsThe 151 participants were randomly assigned to 1 of 2 groups: 76 to the SMS Turkey intervention group and 75 to the brochure control group. Using intention to treat, all 151 participants were included in analyses. Three-month cessation trends were not significantly higher in the intervention group: 11% intervention vs 5% control had quit (χ² ₁=1.4, P=.24; R²=2.0, 95% CI 0.62-6.3). When the sample was stratified by sex, female intervention participants (14%, n=5) were significantly more likely to have quit at 3 months than female control participants (0%, n=0; χ² ₁=3.7, P=.05). Among light smokers (ie, those smoking less than 20 cigarettes per day), intervention participants (17%, n=5) also were significantly more likely to have quit compared to control participants (0%, n=0; χ² ₁=5.3, P=.02). We noted no difference in cessation rates for males or heavy smokers. Participants experienced significant technology problems during the study. Some participants received duplicate text messages at least once during the trial; others failed to receive some program messages. Neither receiving duplicate messages (χ² ₁=0.12, P=.73), or missing 5 or more program messages (χ² ₁=0.75, P=.39) negatively affected quitting rates.ConclusionsAlthough the study was not powered to detect statistically significant differences, as the primary aim was to provide estimates of effect size that could be used to better inform a power analysis for a larger trial, findings provide optimism that SMS Turkey may be able to affect quitting rates in environments with high smoking prevalence, such as Ankara, Turkey. The SMS Turkey software program did not work as well as it did 2 years previous. The system will need to be updated to maintain software compatibility with ongoing technology evolution.

Trial Registration

Clinicaltrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00912795","term_id":"NCT00912795"}}NCT00912795 http://clinicaltrials.gov/ct2/show/{"type":"clinical-trial","attrs":{"text":"NCT00912795","term_id":"NCT00912795"}}NCT00912795 (Archived by WebCite at http://www.webcitation.org/6Ch1cIA8l).     

Psychological Symptoms Following Smoking Cessation in Pregnant Smokers

This study examined the relationship between smoking status and psychological symptoms in pregnant women across pregnancy. Participants were 45 women who quit smoking early in pregnancy (early quitters), 22 who quit later in pregnancy (later quitters), and 84 who smoked throughout pregnancy (never quitters). Assessments of smoking status and psychological symptoms (Brief Symptom Inventory and Beck Depression Inventory) occurred near first prenatal visit, second visit, and end of pregnancy. Results indicated that scores on the Global Severity Index of the Brief Symptom Inventory, several Brief Symptom Inventory subscales, and on the Beck Depression Inventory were highest among never quitters, lowest among early quitters, and intermediate for later quitters. Scores decreased across pregnancy, especially between first and second assessments. We found no evidence that quitting smoking increased psychological symptoms either in the immediate post-withdrawal period or later in pregnancy. These findings should temper concerns that quitting smoking may have detrimental psychological consequences during pregnancy.     

A Mobile App to Aid Smoking Cessation: Preliminary Evaluation of SmokeFree28

Background

Little is known about the effectiveness of mobile apps in aiding smoking cessation or their validity for automated collection of data on smoking cessation outcomes.

Objective

We conducted a preliminary evaluation of SF28 (SF28 is the name of the app, short for SmokeFree28)—an app aimed at helping smokers to be smoke-free for 28 days.

Methods

Data on sociodemographic characteristics, smoking history, number of logins, and abstinence at each login were uploaded to a server from SF28 between August 2012 and August 2013. Users were included if they were aged 16 years or over, smoked cigarettes at the time of registration, had set a quit date, and used the app at least once on or after their quit date. Their characteristics were compared with data from a representative sample of smokers trying to stop smoking in England. The percentage of users recording 28 days of abstinence was compared with a value of 15% estimated for unaided quitting. Correlations were assessed between recorded abstinence for 28 days and well-established abstinence predictors.

Results

A total of 1170 users met the inclusion criteria. Compared with smokers trying to quit in England, they had higher consumption, and were younger, more likely to be female, and had a non-manual rather than manual occupation. In total, 18.9% (95% CI 16.7-21.1) were recorded as being abstinent from smoking for 28 days or longer. The mean number of logins was 8.5 (SD 9.0). The proportion recording abstinence for 28 days or longer was higher in users who were older, in a non-manual occupation, and in those using a smoking cessation medication.

Conclusions

The recorded 28-day abstinence rates from the mobile app, SF28, suggest that it may help some smokers to stop smoking. Further evaluation by means of a randomized trial appears to be warranted.     

Response of Subgingival Bacteria to Smoking Cessation

It has been demonstrated that smoking cessation alters the subgingival microbial profile; however, the response of individual bacteria within this ecosystem has not been well studied. The aim of this investigation, therefore, was to longitudinally examine the effect of smoking cessation on the prevalence and levels of selected subgingival bacteria using molecular approaches for bacterial identification and enumeration. Subgingival plaque was collected from 22 smokers at the baseline and 12 months following periodontal nonsurgical management and smoking cessation counseling. The prevalence and abundance of selected organisms were examined using nested PCR and multiplexed bead-based flow cytometry. Eleven subjects successfully quit smoking over 12 months (quitters), while 11 continued to smoke throughout (smokers). Smoking cessation led to a decrease in the prevalence of Porphyromonas endodontalis and Dialister pneumosintes at 12 months and in the levels of Parvimonas micra, Filifactor alocis, and Treponema denticola. Smoking cessation also led to an increase in the levels of Veillonella parvula. Following nonsurgical periodontal therapy and smoking cessation, the subgingival microbiome is recolonized by a greater number of health-associated species and there are a significantly lower prevalence and abundance of putative periodontal pathogens. The results indicate a critical role for smoking cessation counseling in periodontal therapy for smokers in order to effectively alter the subgingival microbiome.It is established that bacterial consortia within the subgingival microbiome play a critical role in the etiology of chronic periodontitis. Although tobacco smoking has been shown to preferentially enrich this microbiome for pathogenic species (26, 29), it is not known if smoking cessation is capable of reversing this pathogenic colonization, since current evidence is based only on cross-sectional comparisons of former and current smokers (10, 25). A longitudinal examination of subgingival bacteria following smoking cessation would allow us to determine how the individual bacteria within this ecosystem respond to smoking cessation.We have previously shown, using a cultivation-independent, open-ended approach, that smoking cessation results in a shift in the subgingival microbial profile during recolonization following periodontal therapy (7). In order to identify the individual organisms that contributed to this compositional shift, it is necessary to use a targeted, sensitive, and quantitative approach to measure the levels of these species.Bead-based flow cytometry has recently been used to measure the abundance of target organisms in complex bacterial communities (24, 28). This cultivation-independent approach is capable of simultaneously measuring the levels of several organisms, both cultivated and uncultivated. It also has a wide dynamic range; that is, it is capable of quantifying both the less numerous and the numerically dominant members of a microbial community.The goals of the present investigation were to identify the effects of smoking cessation on the prevalence and abundance of selected bacteria using a novel method for the simultaneous quantification of cultivated and uncultivated organisms.     

Acculturation and Cigarette Smoking Among African Americans: Replication and Implications for Prevention and Cessation Programs

We report a replication of a 1996 study on the role of acculturation in smoking among African American adults. Results with the current sample were nearly identical to the prior ones: smokers tended to be traditional and nonsmokers acculturated, with nearly 70% of Black smokers in both studies being highly traditional in their cultural orientation. Given that coming from a highly traditional Black family was a strong predictor of smoking in both studies, we suggest that new smoking prevention and cessation programs might be culturally tailored for Blacks by focusing on smoking as a familywide issue.     

Mediation of Smoking Consumption on the Association of Perception of Smoking Risks with Successful Spontaneous Smoking Cessation

Background

The perception of smoking risks has positive and smoking consumption has negative effects on successful smoking cessation, but no information is now available for what is the role of smoking consumption on the relationship between perception of smoking risks and successful smoking cessation.

Purpose

To assess the mediation of smoking amount on the association of perception of smoking risks with successful spontaneous smoking cessation.

Method

A community-based case-control study was conducted with 294 adult spontaneous successful smoking quitters who have been quitting smoking consecutively for more than 2 years as the cases, and 347 adult failed spontaneous smoking quitters who quitted but relapsed or have been quitting smoking continuously equal to or less than 2 years as the controls. The smoking amount was evaluated by pack-year that was categorized into tertiles and scored inversely. The score of perception of smoking risks was also categorized into tertiles. Propensity score as the covariate in the regression model was used to adjust the potential confounding. The total effect was decomposed into direct effect and indirect (mediating) effect by using logistic regression based on the KHB method proposed by Karlson, Holm, and Breen. The proportion of mediating effect among the total effect is calculated as the indirect effect divided by the total effect.

Results

After adjusting age, profession, education, marital status, and reasons for quitting smoking by using propensity score, the small mediating effect of smoking amount on the association of perception of smoking risks with successful spontaneous smoking cessation was observed, and the mediating effect of smoking amount was 23.75 % among the total effect. The dose-response analysis showed that the mediating effect of smoking amount in the groups with middle and high score of perception of smoking risks were 10.15 and 37.84 % among their total effect, respectively.

Conclusion

This study reveals that smoking amount has only small mediating effect among the total effect of perception of smoking risks on the successful spontaneous smoking cessation; enhancing the smokers' perception of smoking risks could promote their attempt to reduce smoking, so as to increase the probability of successful smoking cessation.     

Effects of a Guided Web-Based Smoking Cessation Program With Telephone Counseling: A Cluster Randomized Controlled Trial

Background

Preliminary findings suggest that Web-based interventions may be effective in achieving significant smoking cessation. To date, very few findings are available for primary care patients, and especially for the involvement of general practitioners.

Objective

Our goal was to examine the short-term effectiveness of a fully automated Web-based coaching program in combination with accompanied telephone counseling in smoking cessation in a primary care setting.

Methods

The study was an unblinded cluster-randomized trial with an observation period of 12 weeks. Individuals recruited by general practitioners randomized to the intervention group participated in a Web-based coaching program based on education, motivation, exercise guidance, daily short message service (SMS) reminding, weekly feedback through Internet, and active monitoring by general practitioners. All components of the program are fully automated. Participants in the control group received usual care and advice from their practitioner without the Web-based coaching program. The main outcome was the biochemically confirmed smoking status after 12 weeks.

Results

We recruited 168 participants (86 intervention group, 82 control group) into the study. For 51 participants from the intervention group and 70 participants from the control group, follow-up data were available both at baseline and 12 weeks. Very few patients (9.8%, 5/51) from the intervention group and from the control group (8.6%, 6/70) successfully managed smoking cessation (OR 0.86, 95% CI 0.25-3.0; P=.816). Similar results were found within the intent-to-treat analysis: 5.8% (5/86) of the intervention group and 7.3% (6/82) of the control group (OR 1.28, 95% CI 0.38-4.36; P=.694). The number of smoked cigarettes per day decreased on average by 9.3 in the intervention group and by 6.6 in the control group (2.7 mean difference; 95% CI -5.33 to -0.58; P=.045). After adjustment for the baseline value, age, gender, and height, this significance decreases (mean difference 2.2; 95% CI -4.7 to 0.3; P=.080).

Conclusions

This trial did not show that the tested Web-based intervention was effective for achieving smoking cessation compared to usual care. The limited statistical power and the high drop-out rate may have reduced the study’s ability to detect significant differences between the groups. Further randomized controlled trials are needed in larger populations and to investigate the long-term outcome.

Trial Registration

German Register for Clinical Trials, registration number DRKS00003067; http://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ ID=DRKS00003067 (Archived by WebCite at http://www.webcitation.org/6Sff1YZpx).     

Smoking Cessation: Significance and Implications for Children

A number of people in the USA who are still current smokers remain a staggering figure. Although this number continues to decrease, there is still a considerable amount of second-hand smoke. More importantly and for the purpose of this review, the detrimental effects of passive smoke in children is significant. We will not review the specific health effects of passive smoke, but for pediatricians, in particular, it is important to place in perspective programs that are available to influence the parents of children to stop smoking. Indeed, approximately 25% of all children aged 3–11 live in a household with at least one smoker. Despite the increasing number of communities in the states that have instituted restrictions or complete bans on smoking in the workplace and in many public areas, the principal site of smoking remains the home.     

Efficacy of Team-Based Financial Incentives for Smoking Cessation in the Workplace

Worksite smoking cessation programs offer accessibility of the target population, availability of occupational health support, and the potential for peer pressure and peer support. The purpose of this study was to identify the efficacy of the financial incentives given to various teams in the workplace. St. Paul''s Hospital''s employees were enrolled. Each team of employees consisted of smoking participants and non-smoking fellow workers from the same department. The financial incentive of 50000 won (about $45) was rewarded to the team for each successful participant-not to individual members-after the first week and then after one month. If the smokers in the team remained abstinent for a longer time period, the team was given an incentive of 100000 won for each successful participant after 3 and 6 months. A total 28 smoking participants and 6 teams were enrolled. Self-reported abstinence rates validated by urinary cotinine test at 3, 6, and 12 months after the initial cessation were 61%, 54%, and 50%, respectively. Smokers with high nicotine dependence scores or those who began participation 1 month after enrollment initiation had a lower abstinence rate at 3 months, but not at 6 and 12 months. Participants who succeeded at smoking cessation at 12 months were more likely to be older and have a longer smoking duration history. The financial incentives given to teams could be promising and effective to improve long-term rates of smoking cessation. This approach could use peer pressure and peer support in the workplace over a longer period.     

Health Events and the Smoking Cessation of Middle Aged Americans

This study investigates the effect of serious health events including new diagnoses of heart attacks, strokes, cancers, chronic lung disease, chronic heart failure, diabetes, and heart disease on future smoking status up to 6 years postevent. Data come from the Health and Retirement Study, a nationally representative longitudinal survey of Americans aged 51–61 in 1991, followed every 2 years from 1992 to 1998. Smoking status is evaluated at each of three follow-ups, (1994, 1996, and 1998) as a function of health events between each of the four waves. Acute and chronic health events are associated with much lower likelihood of smoking both in the wave immediately following the event and up to 6 years later. However, future events do not retrospectively predict past cessation. In sum, serious health events have substantial impacts on cessation rates of older smokers. Notably, these effects persist for as much as 6 years after a health event.     

"因特网辅助耳穴戒烟"对青少年戒烟的成效

目的探讨一套以计算机因特网辅助耳穴戒烟方案对青少年戒烟之成效.方法以实验研究设计收案77位高中职学生,以非随机分配至因特网辅助耳穴戒烟组及耳穴戒烟组.分别提供不同介入措施,但皆以血清尼古丁浓度、自我效能作为戒烟成效之指标.研究数据以SPSS 10.0版软件包进行数据分析.结果以血清尼古丁检定戒烟率,因特网辅助耳穴组(15.78%)明显高于耳穴组(2.5%).两组均能有效增进自我效能.普遍而言,研究对象认为因特网辅助耳穴戒烟对戒烟有具体的帮助.结论可提供相关单位做为青少年戒烟方式之参考,建议未来研究者在本研究的基础下,进一步以更严谨的研究设计探讨耳穴的适用范围及成效.     

Comparing Two Web-Based Smoking Cessation Programs: Randomized Controlled Trial

Background

Smoking cessation remains a significant public health problem. Innovative interventions that use the Internet have begun to emerge that offer great promise in reaching large numbers of participants and encouraging widespread behavior change. To date, the relatively few controlled trials of Web-based smoking cessation programs have been limited by short follow-up intervals.

Objective

We describe the 6-month follow-up results of a randomized controlled trial in which participants recruited online were randomly assigned to either a Web-based smoking cessation program (Quit Smoking Network; QSN) or a Web-based exercise enhancement program (Active Lives) adapted somewhat to encourage smoking cessation.

Methods

The study was a two-arm randomized controlled trial that compared two Web-based smoking cessation programs: (1) the QSN intervention condition presented cognitive-behavioral strategies, and (2) the Active Lives control condition provided participants with guidance in developing a physical activity program to assist them with quitting. The QSN condition provided smoking cessation information and behavior change strategies while the Active Lives condition provided participants with physical activity recommendations and goal setting. The QSN condition was designed to be more engaging (eg, it included multimedia components) and to present much greater content than is typically found in smoking cessation programs.

Results

Contrary to our hypotheses, no between-condition differences in smoking abstinence were found at 3- and 6-month follow-up assessments. While participants in the QSN intervention condition spent more time than controls visiting the online program, the median number of 1.0 visit in each condition and the substantial attrition (60.8% at the 6-month follow-up) indicate that participants were not as engaged as we had expected.

Conclusions

Contrary to our hypothesis, our test of two Web-based smoking cessation conditions, an intervention and an attention placebo control, failed to show differences at 3- and 6-month assessments. We explored possible reasons for this finding, including limited engagement of participants and simplifying program content and architecture. Future research needs to address methods to improve participant engagement in online smoking cessation programs. Possible approaches in this regard can include new informed consent procedures that better explain the roles and responsibilities of being a research participant, new program designs that add more vitality (changing content from visit to visit), and new types of reminders pushed out to participants to encourage return visits. Simplifying program content through a combination of enhanced tailoring and information architecture also merits further research attention.     

Smoking Cessation Apps for Smartphones: Content Analysis With the Self-Determination Theory

Background

Smartphones are increasingly receiving attention from public health scholars and practitioners as a means to assist individuals’ health management. A number of smartphone apps for smoking cessation are also available; however, little effort has been made to evaluate the content and functions of these apps employing a theoretical framework.

Objective

The present study aims to analyze and evaluate the contents of smoking cessation apps available in South Korea employing the self-determination theory (SDT) as a theoretical framework for analysis. This study analyzes the extent to which smoking cessation apps have features that satisfy the basic needs identified in the SDT, which stimulate autonomous motivation. The type of motivational goal content manifested in the apps and how the goal content was framed are also explored. By assessing the features of smoking cessation apps based on the SDT, this study aims to offer direction for improvement for these apps.

Methods

Out of 309 apps identified from the iTunes store and Google Play (excluding 27 duplications), 175 apps were randomly drawn and analyzed. The coding scheme was drafted by the authors based on the SDT and gain/loss framing theory and was further finely tuned through the process of coder training and by establishing intercoder reliability. Once the intercoder reliability was established, the coders divided up the rest of the sample and coded them independently.

Results

The analysis revealed that most apps (94.3%, 165/175) had at least one feature that tapped at least 1 of the 3 basic needs. Only 18 of 175 apps (10.3%) addressed all 3 basic needs. For goal content, money (53.7%, 94/175) showed the highest frequency, followed by health (32.0%, 56/175), time (7.4%, 13/175), and appearance (1.1%, 2/175), suggesting that extrinsic goals are more dominantly presented in smoking cessation apps. For the framing of goal content, gain framing appeared more frequently (41.7%, 73/175).

Conclusions

The results suggest that these smoking cessation apps may not sufficiently stimulate autonomous motivation; a small number of apps addressed all 3 basic needs suggested by the SDT (ie, autonomy, competence, and relatedness). The apps also tended to present extrinsic goal content (primarily in terms of money) over intrinsic ones (ie, health) by primarily adopting gain framing. Implications of these findings for public health practitioners and consumers are discussed.