Smoking motivation: A factor-analytical study

Factor analyses were carried out on the responses of 115 cigarette smokers to the Smoking Questionnaire of Russell et al. (1974), to the Situational Smoking Questionnaire of Frith (1971) and to certain items of a biographical smoking questionnaire. In the analysis of Russell's questionnaire, a set of six factors was extracted, bearing some resemblance to the six factors found by the authors of the questionnaire, although the matching of factors was by no means perfect. However, the results did support Russell et al.'s finding of a major dimension of degree of dependence upon cigarettes, together with an orthogonal factor contrasting pharmacological with non-pharmacological dependence. The analysis of the Situational Smoking Questionnaire confirmed Frith's finding that the first principal component represented a general desire for cigarettes while the second contrasted desire to smoke in high- and low-arousal inducing (or stressful and relaxing) situations; and these two components corresponded fairly well with the first two components extracted from Russell's questionnaire, pharmacological dependence being associated with smoking in stressful situations.     

Predictors of smoking cessation in Taiwan: using the theory of planned behavior

This study aimed to explore the factors predicting the intention to quit smoking and the subsequent behavior 6 months later using the theory of planned behavior (TPB). Data were obtained from 145 smokers who attended a smoking cessation clinic in a community hospital. All participants completed a questionnaire which included demographic information, TPB-based items, perceived susceptibility and previous attempts to quit. The actual quitting behavior was obtained by follow-up phone calls 6 months later. The TPB constructs explained 34% of the variance in intention to quit smoking. By adding perceived susceptibility, the explained variance was significantly improved to 40%. The most important predictors were perceived behavior control and perceived susceptibility, followed by attitude. Subjective norm did not contribute to the prediction of intention. Attitude and perceived behavior control contributed to the prediction of actual quitting behavior, but intention, subjective norm and perceived susceptibility did not. Our findings support that the TPB is generally a useful framework to predict the intention to quit smoking in Taiwan. The inclusion of perceived susceptibility improved the prediction of intention. With regards to successfully quitting, attitude and perceived behavior control played more crucial roles than other TPB constructs. Smoking cessation promotion initiatives focusing on reinforcing cessation belief, enhancing a smoker’s perception of their capability to quit smoking, and persuading smokers that they can overcome cessation barriers to cessation could make subsequent interventions more effective.     

Negative mood regulation mediates the relationship between distraction and engagement in pleasurable activities among college smokers

Smoking for negative mood alleviation is a strong predictor of early smoking and early dependence among undergraduates. Little is known about whether adaptive cognitive coping processes (e.g., distraction) may help decrease the likelihood of student smoking for negative mood regulation. The present study tested the hypothesis that distraction would predict (a) greater engagement in adaptive pleasant pastimes and (b) lower rates of smoking behavior among undergraduates (n = 162, 41.9% female). We further assessed whether negative mood regulation expectations would explain both relationships. Results indicated that negative mood regulation fully mediated the relationship between distraction and engagement in pleasurable activities among college smokers. Although the relationships among distraction, negative mood regulation, and cigarette consumption were not significant, they were in the expected direction (negative). Results from the present study point to the importance of prevention efforts focused on enhancing cognitive coping skills in college smokers. Such a focus may lead to more frequent adaptive cognitive coping during negative mood states, presumably instead of smoking.     

Negative mood regulation mediates the relationship between distraction and engagement in pleasurable activities among college smokers

Smoking for negative mood alleviation is a strong predictor of early smoking and early dependence among undergraduates. Little is known about whether adaptive cognitive coping processes (e.g., distraction) may help decrease the likelihood of student smoking for negative mood regulation. The present study tested the hypothesis that distraction would predict (a) greater engagement in adaptive pleasant pastimes and (b) lower rates of smoking behavior among undergraduates (n = 162, 41.9% female). We further assessed whether negative mood regulation expectations would explain both relationships. Results indicated that negative mood regulation fully mediated the relationship between distraction and engagement in pleasurable activities among college smokers. Although the relationships among distraction, negative mood regulation, and cigarette consumption were not significant, they were in the expected direction (negative). Results from the present study point to the importance of prevention efforts focused on enhancing cognitive coping skills in college smokers. Such a focus may lead to more frequent adaptive cognitive coping during negative mood states, presumably instead of smoking.     

Development and psychometric evaluation of the Primary Appraisal of Smoking Cessation Inventory.

For this study, we developed and evaluated the psychometric properties of the Primary Appraisal of Smoking Cessation Inventory (PASCI), a self-report measure designed to assess the perceived gains and losses associated with quitting smoking based on the theoretical model of stress described by Lazarus and Folkman (1984). We administered the 26-item PASCI and two other questionnaires to 244 current smokers and to 30 ex-smokers. Item analyses indicated that two items on the PASCI should be deleted due to low item-total correlations. A principal components analysis of the remaining 24 items identified two separate and independent factors, Losses and Gains, and scores on the subscales of both factors were internally consistent and stable over repeated administrations. The validity of the PASCI was established by examining the relationship between smoking status and scores on the PASCI subscales and by finding significant correlations between the PASCI and the Decisional Balance Scale (Velicer, DiClemente, Prochaska, & Brandenburg, 1985), a measure conceptually similar to the construct measured by the PASCI. We concluded that the PASCI is reliable and valid and can be used to investigate the relationship between primary appraisal and smoking cessation.     

吸烟者感知吸烟社会规范与社交性吸烟行为的关系：身份认同和关系观的作用

考察吸烟者身份认同和关系观在感知吸烟社会规范与社交性吸烟行为关系中的作用。对1016名吸烟者进行问卷调查,结果表明：（1）感知吸烟社会规范显著正向预测社交性吸烟;（2）身份认同对感知吸烟社会规范和社交性吸烟关系起部分中介作用;（3）关系观正向调节感知吸烟社会规范和社交性吸烟的关系,而对感知吸烟社会规范和身份认同关系的调节不显著。研究支持了感知吸烟社会规范影响社交性吸烟的身份认同机制和文化价值观调节机制。     

The relationship between depression and smoking in adolescents

The literature suggests that smokers are more likely to be depressed, while people who are depressed are more likely to smoke. The purpose of the present study was to determine the strength of the relationship between smoking, depression, intention to smoke, and several psychosocial and environmental factors. The participants (98 high school and college students aged 16 to 19 years) completed a paper-and-pencil questionnaire consisting of the Multiscore Depression Inventory (MDI) and items regarding smoking behavior as well as psychosocial and environmental factors. Correlation, stepwise regression, and discriminant analyses were then conducted. It was found that participants were more likely to smoke if their parents smoked, if their scores on the MDI indicated instrumental helplessness and social isolation/withdrawal, or if they were older. Participants were more likely to state intention to smoke in the future if they had MDI scores indicating instrumental helplessness, if they were older, if their parents smoked, if their MDI scores indicated social intro-version, or if they resided with a guardian. Participants were also more likely to have smoked for more years if their parents smoked or if their scores on the MDI indicated instrumental helplessness. Further, participants were more likely to have scores on the MDI indicative of higher depression levels if they had low grades or if their parents smoked.     

Psychosocial risk factors at work as predictors of mobbing

This work analyses the way in which various psychosocial risk indicators may predict mobbing. A sample of 638 workers, 168 men and 470 women, from the fruit-and-vegetable sector was evaluated. An anonymous questionnaire was administered to all employees who were present on the evaluation days in the companies comprising the study. After analysing the data obtained with the mobbing questionnaire NAQ-RE (Sáez, García-Izquierdo, and Llor, 2003) and with the psychosocial risk factors evaluation method of the INSHT (Martín and Pérez, 1997), using canonical regression, we found that several psychosocial factors such as role definition, mental workload, interest in the workers, and supervision / participation predict two types of mobbing: personal mobbing and work-performance-related mobbing.     

A measure of perceived pain and tobacco smoking interrelations: pilot validation of the pain and smoking inventory

Mounting evidence indicates that pain can motivate cigarette smoking behavior, smokers have reliably endorsed the use of tobacco to cope with pain, and there is reason to suspect that pain may impede smoking cessation. Smoking-related outcome expectancies are among the best predictors of cigarette consumption and relapse, and the goal of this pilot study was to develop a standardized measure of how tobacco smokers perceive their pain and smoking behavior to be interrelated (i.e. pain as a motivator of smoking, expectancies for smoking as a means of coping with pain, and pain as a barrier to quitting). Participants (N = 75) completed an online survey that was designed to assess interrelations between pain and tobacco smoking. The nine-item Pain and Smoking Inventory (PSI) demonstrated excellent internal consistency (α = .95). As expected, PSI scores were higher among smokers with chronic pain (vs. no pain), and were positively associated with established indices of both pain and tobacco smoking dependence. These results corroborate the notion that smokers can effectively communicate perceptions of interrelations between their pain and smoking behavior. Future research is needed to establish reliability and validity of the PSI among larger, more diverse samples of smokers with varying levels of pain. Future work should also examine PSI scores as predictors of smoking cessation outcomes, and whether PSI data may usefully inform the development of tailored interventions for smokers in pain.     

社会榜样与青少年吸烟行为的关系

本研究对北京市1042名初一至高三学生进行问卷调查,以考察最要好同伴、父母、学校和大众媒体对青少年吸烟行为的影响。研究发现,各种社会因素与青少年吸烟行为有显著的关系;女生更多地受到最要好同伴吸烟行为、母亲吸烟行为和态度以及户外广告的影响;最要好同伴吸烟、学校对吸烟的态度对初中生的影响更大,而高中生更多地受到父亲吸烟行为和户外广告的影响;各种社会因素的影响大小依次为:最要好同伴吸烟、父亲吸烟行为、学校周围广告、母亲和学校对吸烟的态度。     

Motivation is not enough: prediction of risk behavior following diagnosis of coronary heart disease from the theory of planned behavior.

Perceived behavioral control (PBC) and intention, the proximal predictors from the theory of planned behavior (TPB), were used to predict cardiovascular risk behaviors in 597 patients 1 year after diagnosis with coronary heart disease. The outcome measures were self-report measures of exercise plus objective measures of fitness (distance walked in 6 min) and cotinine-confirmed smoking cessation. In multivariate analyses incorporating both PBC and intention, PBC predicted exercise, distance walked, and smoking cessation, but intention was not a reliable independent predictor of any health behavior measured. Thus, the effective theoretical component of the TPB was PBC. Similar predictions could derive from social-cognitive theory. In coronary patients, behavioral change needs to address issues of action implementation rather than motivational factors alone.     

Experimental evidence for a causal relationship between smoking lapse and relapse

In this study, the authors prospectively evaluated the impact of a smoking lapse on relapse probability. After 4 days of smoking abstinence, 60 smokers were randomly assigned to smoke 5 nicotine-containing or 5 denicotinized cigarettes, or to remain abstinent (no lapse) during a 4-hr time period. Afterward, smoking abstinence was encouraged with monetary incentives, and smoking behavior was tracked for 6 days. Relative to the no-lapse condition, exposure to either of the cigarette types more than doubled the probability of subsequent smoking. Smoking outcomes did not differ between nicotine-containing and denicotinized cigarettes. The data suggest that stimulus factors may play an important role in lapse to relapse processes.     

Development and validation of the Smoking Expectancy Scale for Adolescents

This study assessed the factor structure, internal consistency, and concurrent validity of the Smoking Expectancies Scale for Adolescents (SESA) using 717 Australian adolescents (87% nonsmokers, 11% current smokers, and 2% ex-smokers). Exploratory factor analysis of SESA yielded 8 factors. Confirmatory factor analysis indicated that the 8-factor model, and also a 2nd-order cost-benefit model, fit the data significantly better than 4 alternatives. Validation analyses revealed the 8-factor model explained 26% to 32% of the variance in adolescent cigarette use, smoking intentions, smoking subjective norms, and peer smoking. The 2nd-order model explained 12% to 17% of the variance in these same variables.     

The effects of self-modeling on cigarette smoking behavior

Two studies of self-modeling are described. Study 1 investigated whether self-modeling would inhibit cigarette smoking behavior. Fourteen cigarette smokers (four males and 10 females) served as subjects for a repeated-measures design. In the self-modeling condition, the subjects watched themselves on a television monitor while smoking; in the control condition, they watched a short cartoon film on the same monitor, also while smoking. The following were measured: (1) the amount of tobacco consumed, (2) the amount of time lit cigarettes were in contact with the subjects’ lips, and (3) the subjects’ physiological responses (GSRs). Study 2 investigated the role of cognitive factors in self-modeling. It followed much the same self-modeling procedures as Study 1. However, unlike Study 1, it incorporated a manipulated cognitive variable: attitudes toward cigarette smoking. Self-modeling reduced the amount of smoking relative to the control condition in Study 1. In Study 2 it was found that cognitive factors influenced the amount of smoking. Smoking increased in subjects supplied with information favorable to smoking, whereas it decreased in those supplied with information unfavorable to smoking. These findings and additional research on the efficacy of self-modeling relative to other procedures suggest the importance of cognitive factors in self-modeling.     

The relationship of body image dissatisfaction to cigarette smoking in college students

This study examined the association of cigarette smoking status and body image dissatisfaction as measured by the Multidimensional Body-Self Relations Questionnaire (MBSRQ), in 1575 young adult college students, 18–24 years of age. Respondents were current cigarette smokers (N = 482) or never tobacco users (N = 1093). Smoking status was found to be significantly associated with 5 of the 10 MBSRQ subscales, with current smokers having lower scores on Fitness Orientation, Health Evaluation and Health Orientation (all p < 0.001) and higher scores on Appearance Orientation (p = 0.01) and Overweight Preoccupation (p = 0.03) compared with never tobacco users. Furthermore, among current smokers, a higher number of days smoked in the last 30 days were associated with lower scores on all MBSRQ subscales, except Self-Classified Weight. In terms of clinical implications, interventions for smoking cessation among college students might benefit from inclusion of components for addressing body image dissatisfaction and improving health beliefs.     

Time perspective,optimistic bias,and self-control among different statuses of university smokers in China: a cross-sectional study

Risk behavior often seems ‘self-defeating’ to the observers. Most people understand the basic health-related knowledge, but some of them still choose to continue risk behaviors, especially for the young. This study aimed to examine time perspective, optimism bias and self control correlated with smoking behavior in Chinese college students. A cross-sectional survey enrolling 3016 university students in Chengdu City, Sichuan Province, China. Influence Factors were identified using multiple logistic regression analyses. Prevalence of current smoking was 20.92% (631 smokers), including 272 daily smokers (9.02%) and 359 non-daily smokers (11.90%). Future-oriented time perspective, general capacity for self-discipline, reliability and ethnicity were protective factors of smoking behavior. Possibility of self-suffering diseases and gender were risk factors of smoking behavior. Smoking in University of Chengdu, China is a severe problem. Results in this research have suggested that irrespective of the smoking level, improving health-related knowledge, time management awareness and self-control ability may contribute to reducing the prevalence of smoking behavior.     

The Reliability and Validity of a Brief Self-Report Questionnaire to Screen for Mental Health Problems: The Health Dynamics Inventory

Mental health problems are underrecognized in medical settings, leading to inadequate treatment. The present paper describes the development of the Health Dynamics Inventory (HDI), a brief, self-report questionnaire developed to evaluate mental health functioning. The HDI was written to evaluate the three aspects of mental disorders as described in the Diagnostic and Statistical Manual of Mental Disorders (DSM): (1) the experience of emotional or behavioral symptoms; (2) emotional distress; and (3) psychosocial impairment. This study evaluated the psychometric properties and construct validity of its items, scales, and subscales. Results indicated that the items distinguish patients from nonpatients, that the instrument's scales and subscales are reliable, and that the scales and subscales discriminates between persons with mental health concerns or diagnosable problems and those without such concerns or problems. The utility of the instrument for screening mental health problems in primary care settings is discussed.     

The relation of modelling and the perception of parental care with adolescent smoking: a cross-sectional study

The smoking of tobacco among adolescents is due to several influential factors, both individual and social. The present study aimed at comparing the effects of different variables on adolescent cigarette smoking, specifically, peer and parent modelling, self-regulatory efficacy, and parental degree of care as perceived by the adolescent. Data were collected by means of a self-report questionnaire administered to a sample of 229 secondary school students aged between 15 and 20 years (mean = 16.69, SD = 1.14). To test the influence of different variables, we performed a binary logistic regression analysis. Results indicated that the father is a key figure in that his care and affection can prevent adolescents from becoming a smoker and his modelling is a risk factor. The significant influence of friends was also confirmed and indicated that peer modelling is a strong predictor of adolescent cigarette smoking. Finally, the results revealed that self-regulatory efficacy is a relevant psychological variable capable of preventing smoking initiation during adolescence.     

Adolescent reasons for quitting smoking: initial psychometric evaluation.

Most adolescent smokers report intentions to quit, and the majority attempt cessation. However, little is known regarding the relationship between adolescent motives for cessation and smoking cessation efforts. To this end, the present study describes an initial evaluation of the psychometric characteristics of the Adolescent Reasons for Quitting scale (ARFQ), a measure of adolescent motives for smoking cessation. Participants were 109 current smoking high school students assessed at baseline and 6-month follow-up. The ARFQ item content and format was developed in a separate qualitative study with 36 high school students who had previously attempted to quit smoking. Exploratory factor analyses of ARFQ items yielded 3 subscales: Short-Term Consequences, Social Disapproval, and Long-Term Concerns. Validation analyses were conducted in relation to concurrent intentions to stop smoking and prospective smoking cessation attempts, providing evidence of concurrent, predictive, and discriminant validity. In particular, the Social Disapproval and Long-Term Concerns subscales significantly predicted subsequent cessation attempts. As such, the ARFQ may prove valuable for informing interventions to encourage adolescent smoking cessation.     

Immediate antecedents of cigarette smoking: an analysis of unrestricted smoking patterns

Theory suggests that cigarette smoking is under stimulus control and that affect is a key trigger for smoking. A previous study (S. Shiftman et al., 2002) showed little relationship between affect and smoking, but this relationship could have been suppressed by the impact of smoking restrictions. The study evaluated these associations in a 1988 sample that was subject to few smoking restrictions. Smokers (N = 28) not seeking treatment used palmtop computers to record context and affect prior to smoking (n = 2217 observations) and also at random times when not smoking (n = 2,380). Comparisons showed little relationship between smoking and affect. Smoking was associated with particular activities and locations. Urge to smoke was the strongest predictor of smoking. The results replicated the findings of S. Shiffman et al. (2002).