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E ffect s of Expectancies and Coping on Pain Induced Motivation to Smoke by Joseph W. Ditre A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of P sychology College of Arts and Scienc es University of South Florida Major Professor: Thomas H. Brandon, Ph.D. Paul B. Jacobsen, Ph.D. David J. Drobes, Ph.D Mark S. Goldman, Ph.D. Jamie Lynn Goldenberg, Ph.D. Date of Approval: November 6, 2009 Keywords: smoking experimental pain craving tobacco social cognitive theory Copyright 2009, Joseph W. Ditre
i Table of Contents List of Tables i v List of Figures v Abstract vi Intr oduction 1 Smoking related outcome expectancies 4 Coping behaviors 4 Coping self efficacy and outcome expectancies 5 Method 7 Participants 8 Design 8 Measures 8 Apparatus 1 1 Cold pressor 1 1 Manipulations 1 1 Coping Enhancement 1 1 Expectancy Challenge 1 2 Procedure 1 3 Results 1 6 Baseline Measures 1 6 Manipulation Checks 1 6 Expectancy Challenge 1 6 Coping Enhancement 1 6 Primary Analyses 1 7 Self reported urge to sm oke 1 7 Latency to smoke 1 8 Number of puffs taken and total time spent smoking 1 9 Additional Analyses 2 0 Impression management 2 0 Affect 2 0 Mediation 2 1 Pain and cold pressor tolerance 2 1
ii Table of Contents (Continued) Discussion 2 2 Pain coping behaviors 2 3 Expectancies for pain coping/reduction via smoking 2 4 References 2 9 Appendices 3 7 Appendix A: Questionnaire of Smoking Urge s Brief 3 8 Appendix B: Pain and Smoking Expectancies Measure 3 9 Appendix C: Perceived Self Efficacy to Manage Pain 4 0 Appendix D: Positive a nd Negative Affect Schedule 4 3 App endix E: Balanced Inventory of Desirable Responding IM 4 4 Appendix F: Bogus Personality Measure 4 5 Appendix G: Numerical Rating Scale 4 6 Appendix H: Smoking Status Questionnaire 4 7 Appendix I : Demographic Questionnaire 4 8 About the Author End Page
iii List of Tables Table 1 Means (Standard Errors) for Post Pain Induction Measures of Smoking Motivation 2 0
iv List of Figures Figure 1 Covariate adjusted mean urge ratings (and standard errors) as a function of the Expectancy Challenge x Coping Enhancement interaction 1 8 Figure 2 Conceptualized causal relationship between pain and motivation to smoke as a function of smoking related outcome expectancies a nd use of pain coping behaviors 2 3
v E ffect s of Expectancies and Coping on Pain Induced Motivation to Smoke Joseph W. Ditre ABSTRACT The prevalence of tobacco smoking among persons with recurrent pain is approximately twice that observed in the general population S moking has been associated with the development and exacerbation of several ch ronically painful conditions. Conversely, there is both experimental and cross sectional evidence that pain is a potent motivator of smoking. A recent study provided the first evidence that laboratory induced pain could elicit increased craving and produce shorter latencies to smoke (Ditre & Brandon, 2008). To further elucidate interrelations between pain and smoking, and to identify potential targets for intervention, the current study tested whether several constructs derived from social cognitive theory influence the causal pathway between pain and increased motivation to smoke. Smokers ( N = 132) were randomly assigned to one of four conditions in this 2 X 2 between subjects experimental design. Results indicated that manipulations designed to (a) challen ge smoking related outcome expectancies for pain reduction, and (b) enhance pain related coping each produced decreased urge ratings and increased latencies to smoke, relative to controls.
1 I ntroduction Cigarette smoking remains the leading preventable cause of morbidity and mortality in the United States, accounting for more than 435,000 deaths each year and an estimated $193 billion in annual medical expenses and lost productivity (CDC, 2008a, Practice Guidelines for Treating Tobacco Dependence identified smokers with comorbid medical conditions as important targets for tobacco cessation (Fiore et al., 2008) We have further proposed that some medical conditions and their associated symptoms (i.e., pain) may also serve to increase, reinforce, or prolong tobacco dependence (Ditre & Brandon, 2008) Pain and smoking have been linked in both the clinical and empirical literature for decades. In fact, the prevalence of smoking among individuals who live with pain has been estimated to be greater than twice that of the general population (e.g., Jamison, Stetson, & Parris, 1991; Michna et al., 2004) Studies of interrelat ionships between pain and smoking can be usefully dichotomized into investigations of either the effects of smoking on pain (e.g., smoking causing, increasing, or inhibiting pain), or the effects of pain on smoking (e.g., pain increasing smoking motivation ), with the latter direction having received far less empirical attention (for a comprehensive review of these topics see Ditre & Brandon, under review ).
2 Tobacco smoking has been associated with the occurrence, protraction, and exacerbation of several chr onically painful conditions including musculoskeletal pain, rheumatoid arthritis, oral pain, headache activity, and fibromyalgia (e.g., Aamodt, Stovner, Hagen, Brathen, & Zwart, 2006; Albano, Santana Sahagun, & Weisman, 2001; Eriksen, Brage, & Bruusgaard, 1997; Palmer, Syddall, Cooper, & Coggon, 2003; Payne et al., 1991; Riley, Tomar, & Gilbert, 2004) However, consistent with experimental evidence of acute smoking related analgesia (e.g., Girdler et al., 2005; Jamner, Girdler, Shapiro, & Jarvik, 1998) th ere is reason to believe that some smokers may be motivated to use tobacco in response to pain. Indeed, researchers have proposed that the avoidance, relief, or both, of pain may be a powerful behavioral reinforcer and an important mechanism in the mainten ance of smoking (Fertig, Pomerleau, & Sanders, 1986; Jarvik, Caskey, Rose, Herskovic, & Sadeghpour, 1989; Pomerleau, 1986; Silverstein, 1982). Support for the hypothesis that pain may promote smoking can be derived from cross sectional studies which have demonstrated that smokers experiencing chronic or intermittent pain are more likely to be current tobacco users and to be diagnosed as nicotine dependent (Zvolensky, McMillan, Gonzalez, & Asmundson, 2009). These individuals also tend to report greater moti vation to smoke (Jamison et al., 1991) and increased cigarette consumption (Hahn, Rayens, Kirsh, & Passik, 2006). Positive c orrelations between pain severity and smoking rates have also been reported (e.g., Davidson, Davidson, Tripp, & Borshch, 2005; Ditre et al., under review; Fishbain et al., 2007; Waldie, McGee, Reeder, & Poulton, 2008) It is important to note, however, that
3 tobacco to cope with pain, the contribution of smoking to the occurrence or aggravation of painful conditions, or both. Therefore to address the issue of causality Ditre and Brandon (2008) conducted an experimental investigation to test the effect of situational pain on motivation to smoke tobacco. Ditre and Brandon (2008) hypothesized that laboratory induced cold pressor pain would increase urges to smoke and immediate smoking behavior. In that between subjects design, 132 smokers were randomly assigned to either pain (cold pressor test, 0 o pain (room temperature water) conditions. Following the pain manipulation, all participants completed measures of mood and desire to smoke, and were given the opportunity to smoke one of their own cigarettes. As hypothesized, participants who underwent p ain induction reported significantly greater urges to smoke and demonstrated quicker latenc ies to light a cigarette than participan ts who did not experience pain. In addition, the effect of pain on craving to smoke was partially mediated by pain induced ne gative affect This study provided the first experimental evidence that situational pain is a causal motivator of smoking. To better understand interrelationships between pain and smoking, and to identify important targets for in tervention there is a need to examine theory driven mechanisms that may underlie the causal relation between situational pain and increased motivation to smoke. In examining the respective pain and smoking literature, several s ocial cognitive constructs (Bandura, 1977, 1986) were o bserved as particularly salient across these domains (i.e., smoking related outcome expectancies, coping behaviors, and coping self efficacy/outcome expectancies).
4 Smoking Related Outcome Expectancies Cognitive processes, including drug and alcohol outcom e expectancies, are prominent among theories of addiction motivation (Brandon, Herzog, Irvin, & Gwaltney, 2004). Such expectancies may be conceptualized as dynamic memory based information templates that become part of anticipatory automatic behavioral s equences leading to the use of substances, including tobacco (Goldman, 1999, 2002). Indeed, many theoretical models have incorporated outcome expectancies into the causal chain that leads to drug use and relapse (e.g., Brandon, Wetter, & Baker, 1996; Coope r, Russell, & George, 1988; Marlatt & Gordon, 1985) S moking related outcome expectancies have been associated with multiple indices of smoking motivation, and there is clear evidence that heavier, more dependent smokers hold more positive expectancies abo ut the consequences of smoking than do lighter smokers or nonsmokers (Brandon, Juliano, & Copeland, 1999) There is also evidence that smoking related outcome expectancies, particularly those related to negative affect reduction, can be experimentally chal lenged and successfully manipulated (Copeland & Brandon, 2000) C oping Behaviors Coping behaviors represent a vast collection of cognitive and behavioral strategies that individuals use to deal with or manage specific stressors such as pain For example, several cognitive strategies (e.g., cognitively transforming noxious stimulation and utilizing distraction) appear to be effective for reducing experimental pain (Devine & Spanos, 1990; Rokke, Fleming Ficek, Siemens, & Hegstad, 2004). T obacco and other sub stances have been hypothesized to help people cope with stress by regulating affect
5 (Brandon et al., 1996; Kassel, Stroud, & Paronis, 2003) facilitating distraction (Brandon & Baker, 1991; Steele & Josephs, 1990), or enhancing performance (Heishman, 1999) One such model posits that people become psychologically reliant on substances they use to cope with stressors (Wills & Hirky, 1996). Using substances to cope may hinder the development of superior coping strategies and lead to greater dependence (Cooper et al., 1988) Coping Self Efficacy and Outcome Expectancies According to social learning theory, effective pain coping is likely a function of both believing that the behavior can be successfully executed (i.e., coping self efficacy), and that engageme nt of the coping response will lead to amelioration of pain (i.e., coping outcome expectancy). Indeed, research has demonstrated that using a coping strategy (particularly when enhanced with positive self efficacy feedback) can effectively reduce ratings of pain severity in both clinical and experimental settings (e.g., Devine & Spanos, 1990; Haythornthwaite, Menefee, Heinberg, & Clark, 1998; Jensen, Turner, & Romano, 1991; Keefe et al., 1997; Marino, Gwynn, & Spanos, 1989; Rosenstiel & Keefe, 1983). The main goal of the current study was to test experimentally, these s ocial cognitive constructs Specifically, w e hypothesize d that manipulations designed to (a) challenge smoking related outcome expec tancies for pain coping/reduction (herein referred to as the Expectancy Challenge), and (b) introduce and enhance pain related coping (herein referred to as the Coping Enhancement) would each reduce post pain induction motivation to smoke ( as indexed by s elf reported urge to smoke and immediate smoking
6 behavior), when compared with control conditions. The Expectancy Challenge was designed to manipulate a construct that has been shown in the smoking literature to influence craving and smoking behavior (e.g. Brandon et al., 1999; Copeland & Brandon, 2000) whereas the Coping Enhancement was designed to manipulate variables (i.e., coping, coping self efficacy, and pain related outcome expectancies) that have been shown in the pain literature to predict variou s indices of pain reactivity (e.g., Devine & Spanos, 1990; Rokke et al., 2004) Thus, the current study sought to integrate empirical literature from the domains of smoking and pain, respectively. This study was also intended to serve as an analogue test o f variables that may merit further investigation for their capacity to influence the development of interventions for persons with comorbid pain and addiction disorders Indeed, the current experiment represents the second step in a programmatic line of re search designed to address both internal and external validity requirements in a cumulative fashion. The ultimate goals of this work are to better understand the relationship between pain and smoking, and to develop smoking prevention, cessation, and relap se prevention interventions for tobacco dependent smokers who live with pain.
7 Method Participants Newspaper advertisements were used to recruit 132 smokers (50% female). The effects at the two screened for the following inclusion criteria: between 18 and 65 years of age ( M = 39.58 ; SD = 9.91 ), smoke at least 15 cigarettes per day ( M = 24.76 ; SD = 13.23 ), and have a pre session expired carbon monoxide concentration of at least 8ppm ( M = 25.86; SD = 10.97). Prospective participants were also screened for the following exclusion criteria: the presence of contraindicative medical conditions (i.e., acute pain, chronic pain, diabetes, epilepsy, and recent injury), and use of prescription medications for pain management, anxiety, heart problems, or blood circulation problems. Individuals who failed to meet all of the inclusion criteria or endorsed any of the excl usion criteria were not enrolled in the study. Fagerstrm Test for Nicotine Dependence (FTND; Heatherton, Kozlowski, Frecker, & Fagerstrom, 1991) scores indicated that the current sample was moderately to highly dependent on tobacco ( M = 6.68; SD = 2.06). Participants were predominantly Caucasian (65.9%) and African American (32.6%), with 1.5% identifying as American Indian or Alaskan Native. Of the full sample, 11.4% were Hispanic/ Latino.
8 Design Participants were randomly assigned to one of four conditions stratified by gender, in this 2 (Expectancy Challenge) X 2 ( Coping Enhancement ) crossed factorial between subjects design. Thus, 33 participants were randomized to each experimental condition. Dependent measures included self reported urge to smoke and o bservation of immediate smoking behavior. Participants were compensated $30 for approximate ly 1.5 hours of their time. Measures Questionnaire of Smoking Urges Brief (QSU B; Cox, Tiffany, & Christen, 2001). The QSU B is a widely used 10 item measure of imme diate urge or craving to smoke a cigarette. Participants were asked to indicate how strongly they agreed or disagreed with each item by completing a Likert type scale that ranged from 0 ( strongly disagree ) to 6 ( strongly agree ), with higher scores indicati ng stronger smoking urges. In the current study, the QSU B demonstrated excellent internal consistency ( = .95). Smoking behavior. As a behavioral index of smoking motivation, participants were given an opportunity to smoke following pain induction. Smoki ng was recorded with a discrete digital video camera and independently scored by two trained raters. Measures of primary interest included latency to light a cigarette, number of puffs taken, and total time spent smoking Kappa statistic s were computed to determine consistency among raters I nterrater reliability for all three measures of smoking behavior was excellent ( K s > 0 96 ). This procedure demonstrated construct validity in our previous study of pain related smoking (Ditre & Brandon, 2008).
9 Pain and Smoking Expectancies Measure (PSE). Developed for a previous study (Ditre & Brandon, 2008), this 5 will help them cope with and/or reduce pain. Participants rated how true each statement was for them b ), and served as a manipulation check for the Expectancy Challenge. Perceived Self Efficacy to Manage Pain (PSEMP; Bandura, Cioffi, Tay lor, & Brouillard, 1988). The PSEMP served as a check for the Coping Enhancement manipulation, and consisted of two scales. The first scale, designed to measure perceived self efficacy to withstand pain, included 22 items representing increasing lengths of cold pressor tolerance (from 5 seconds to 5 minutes), and participants were asked to rate their confidence (from 0 100%) in keeping their hand submerged for each duration of time. The second scale was developed to measure perceived self efficacy to reduce and/or cope with pain. Participants were asked to rate their confidence (from 0 100%) in executing three degrees of pain reduction/coping (i.e., small, moderate, or large) across four severities of pain (ranging from dull to excruciating), for a total of 12 items. Consistent with previous research, total scores for each of the scales were obtained by summing the individual confidence ratings and dividing by the number of scale items (e.g., Bandura et al., 1988). Each of the two PSEMP scales demonstrated ex cellent internal consistency ( = .97 and = .94, respectively). Positive And Negative Affect Schedule (PANAS; Watson, Clark, & Tellegen, 1988) The PANAS is comprised of two orthogonal mood scales (positive and negative),
10 each containing 10 items. Partic ipants were asked to rate their current mood on a 5 point mood scale were summed, with higher scores indicating stronger affect. Both the positive ( = .81) and ne gative ( = .84) affect scales demonstrated good reliability. Balanced Inventory of Desirable Responding Impression Management (Paulhus, Robinson, Shaver, & Wrightsman, 1991) The 20 item BIDR IM was included to test for potential associations between se lf report ratings and proclivity towards biased responding and impression management. This measure demonstrated adequate internal consistency ( = .74). Bogus Personality Measure (BPM). This 10 item adaptation of Byrne's (1961) Repression Sensitization sc ale was used as a bogus measure to provide purported feedback designed to enhance expectancies for successful pain coping, specifically with regard to their utilization of a distraction based coping strategy. The BPM was used for a similar pu rpose in a previous study of cold pressor pain induction (Marino et al., 1989) Numerical Rating Scale (NRS; Dworkin et al., 2005) The NRS is an 11 point numerical rating scale of pain intensity. Participants were asked to circle the number that best desc Smoking Status Questionnaire (SSQ). This form was used to assess smoking status, smoking history, and other smoking relate d variables. The SSQ also included the Fagerstrm Test for Nicotine Dependence, a reliable and valid measure of nicotine
11 dependence (Heatherton, Kozlowski, Frecker, & Fagerstrom, 1991). Demographic Questionnaire (DQ) The DQ assessed basic demographic info rmation, including gender, age, marital status, race, ethnicity, and household income. Exhaled Carbon Monoxide (CO). The measurement of exhaled CO level correlates closely with blood carboxyhaemoglobin concentration and provides an immediate, non invasive method of assessing smoking status. Apparatus Cold pressor This method of pain stimulation is believed to replicate some subjective qualities frequently observed in clinical pain patients, including the unpleasantness associated with chronically painful c onditions (Keogh, Hatton, & Ellery, 2000; Rainville, Feine, Bushnell, & Duncan, 1992). Participants were asked to immerse their non dominant hand into room temperature water for two minutes (to standardize limb temperature) prior to immersing the same hand into a cold water bath (0 until they felt it too uncomfortable to continue. The cold pressor used in the current study was developed by technicians at Moffitt Cancer Center and consisted of an insulated cooler unit with a perforated screen (to keep the water and ice separate) and a 12 volt bilge pump (to circulate the water). Manipulations Coping Enhancement Participants randomized to Coping Enhancement conditions were instruc ted to utilize a pain coping task and procedure that was previously demonstrated to influence subjective ratings of pain reactivity among participants undergoing cold pressor pain induction (Marino et al., 1989) This distraction based
12 coping task required participants to listen to and repeat aloud letters (i.e., letter sh adowing) at a rate of three letters every two seconds before (for 15 seconds) during, and after (for 15 seconds) submerging their hand into the cold pressor. The letters were presented in random order and participants were given a 30 second pre pain induc tion practice trial. To enhance self efficacy for coping and to increase e xpectancies for successful pain coping, participants received purported feedback ( ostensibly derived from responses to the BPM) that this strategy would be effective for them. Contro l participants (i.e., No Coping Enhancement ) were not instructed to utilize the distraction task during pain induction and received no BPM feedback. Expectancy Challenge We intended to reduce outcome expectancies that smoking can effectively help one cope with pain by utilizing a video based expectancy challenge. A similar video manipulation, previously developed within our lab, was shown to decrease participant expectancies that smoking is an effective means to cope with negative affect (Copeland & Brando n, 2000). For the purpose of the current study, two videos (each 5 minutes in length) were produced: one video designed to reduce expectancies for reducing or coping with pain via smoking ( Expectancy Challenge ), and one control content video (No Expectancy Challenge ). The Expectancy Challenge video consisted of an expert presenting information regarding demonstrated associations between smoking and pain (e.g., the relationship between smoking and the capacity to narrow attention so that one may be more likely to focus on the pain). The information portion of the video king was
13 not effective for pain coping. Lastly, the testi monials were followed by a brief quiz ( true/false ) to reinforce the video content. The No Expectancy Challenge video consisted of the same expert presenting information on the history of tobacco (e.g., the historical role of Columbus and other early explor ers in the proliferation of tobacco use). In similar reactions (e.g., that they were previously unaware of this information), and a brief quiz to reinforce the video co ntent. Procedure Trained operators screened prospective participants. Eligible participants were asked to refrain from using any non prescription pain medications for 24 hours prior to their appointment. Eligible participants were also asked to smoke one cigarette exactly one hour prior to their appointment and none thereafter (to standardize smoking behavior prior to the experiment). Upon arrival, informed consent and HIPAA authorization were obtained. Participants were then asked when they smoked their last cigarette. If participants reported that it had been less than 40 minutes or greater than 80 minutes since their last cigarette, they were excluded from the study. Upon study initiation, the experimenter collected participant cigarettes (to be returne d at the end of the study) and administered baseline measures (e.g., QSU B1, PANAS1, BPM; BIDR IM, DQ, SSQ). Once baseline measures were collected, participants were exposed to the cold pressor for 5 seconds (CP1) to provide a frame of reference for comple ting pre manipulation measures of pain intensity, perceived self
14 efficacy for managing pain, and expectancies for reducing or coping with pain via smoking (i.e., NRS1, PSEMP1, PSE1). Participants were then randomized to one of the four experimental condit ions The experimenter always administered the Expectancy Challenge (or No Expectancy Challenge) before administering the Coping Enhancement (or No Coping Enhancement). The order of administration was selected so that instructions and training for utilizin g the coping strategy would occur in close proximity to the full cold pressor test (CP2) Following the manipulations, participants completed the PSEMP2 and PSE2. Next, all smokers underwent the full cold pressor test (CP2). When participants indicated th at they were no longer able or willing to tolerate the cold pressor by removing their hand, they were asked to complete post pain induction measures of pain severity, urge to smoke, and affect (i.e., NRS2, QSUB2, PANAS2). Next, the behavioral measure of sm oking motivation was collected. Specifically, participants were informed that the experimenter had to leave the room for approximately 10 minutes to prepare for the next phase of the study. Participants were then told that during this time they were welcom e to smoke as much or as little of their one cigarette as they would like, but to please take at least one puff before the experimenter returned. The experimenter then placed down a ngle cigarette placed in a glass ashtray (both the lighter and cigarettes were collected at the beginning of the study). At this point, the experimenter left the room to observe smoking behavior via discrete video monitoring When the experimenter returned participants completed
15 some additional secondary measures (i.e., not central to the primary hypotheses) provided a second CO sample, and were debriefed and compensated.
16 Results Baseline Measures As expected, A nalysis of variance (ANOVA) revealed no sign ificant differences (all p demographics (DQ), smoking status (SSQ), urge to smoke (QSU B), negative affect (PANAS NA), positive affect (PANAS PA), and impression management (BIDR IM). Also as expected, we obser ved no differences (all p manipulation measures of expectancies for pain coping or reduction via smoking (PSE) and perceived self efficacy to manage pain (PSEMP). Manipulation Checks Expectancy Challenge. To examine the effect of the Expecta ncy Challenge on PSE scores, A nalysis of covariance (A NCOVA ; controlling for baseline PSE) was conducted. As expected, participants who viewed the experimental video reported significantly lower positive outcome expectancies for pain coping and reduction v ia smoking ( Expectancy Challenge : M = 5.40; SE = .94) than did participants who were randomized to view the control video (No Expectancy Challenge : M = 17.72; SE = .94), F (1, 127) = 86.45, p < .001. Coping Enhancement A similar ANCOVA was conducted to exa mine the effect of the Coping Enhancement on perceived self efficacy to withstand pain (PSEMP Scale 1) and perceived self efficacy to reduce and/or cope with pain (PSEMP Scale 2 ). Also as
17 expected, participants randomized to utilize a distraction based cop ing strategy during pain induction reported significantly greater confidence in their ability to tolerate [ F (1, 127) = 23 67 p < .001 f = .15] and reduce/cope with cold pressor pain [ F (1, 127) = 23 89 p < .001 f = .16] relative to those not instructed to cope during pain induction Primary Analyses Self reported urge to smoke Independent and synergistic effects of the Expectancy Challenge and the Coping Enhancement on post pain induction urge to smoke were tested via ANCOVA (controlling for baseline ur ge). Effect sizes, indexed as f were calculated for significant F tests. According to Cohen (1988), f values of .10, .25, and .40 can be considered small, medium, and large, respectively. Three extreme values (i.e., urge ratings greater than two SDs from the mean) were excluded. Analysis revealed main effects for both the Expectancy Challenge [ F (1, 124) = 26.09, p < .001 f = .43 ] and Coping Enhancement [ F (1, 124) = 8. 87 p < .01 f = .2 4 ]. As seen in Table 1, urge ratings were suppressed among participant s who viewed an experimental video designed to diminish positive outcome expectancies for pain coping via smoking ( Expectancy Challenge ), relative to those who viewed a control video (No Expectancy Challenge ). Urge ratings were also suppressed among partic ipants who were instructed to use a distraction based coping strategy during pain induction ( Coping Enhancement ), relative to those who were not instructed to cope (No Coping Enhancement ). As depicted in Figure 1, analysis also revealed a significant Expe ctancy Challenge x Coping Enhancement interaction [ F (1, 124) = 6.39, p = .01, f = .2 0 ]. Post hoc Fisher's LSD tests showed that urge ratings were highest for participants randomized to the No
18 Expectancy Challenge + No Coping Enhancement condition, relative to each of the other three experimental conditions (all p s < .001). None of the remaining pairwise comparisons reached significance (see Table 1). Thus, although the Expectancy Challenge and the Coping Enhancement were each sufficient to reduce craving to smoke, these manipulation effects were not additive. Figure 1. Covariate adjusted mean urge ratings (and standard errors) as a function of the Expectancy Challenge x Coping Enhancement interaction. Latency to smoke. ANOVA was conducted to examine effects of the Expectancy Challenge and the Coping Enhancement on post pain induction latency to light a cigarette. Scores for 11 extreme values (i.e., latencies greater than two SDs from the mean) and 8 participants who were off camera when they lit their cigarette were
19 excluded. Removal of extreme values resulted in substantially improved skewness ( S = 5.77 to S = 1.20) and kurtosis ( K = 35.65 to K = 1.50) statistics for the latency variable. Excluded participants were fairly eve nly distributed across conditions. As with urge, latency analysis revealed expected main effects for both the Expectancy Challenge [ F (1, 109) = 4.43, p = .04 f = .2 0 ] and the Coping Enhancement [ F (1, 109) = 5.82, p = .02 f = .2 3 ]. The Expectancy Challeng e x Coping Enhancement interaction was not significant ( p = .97). As seen in Table 1, smokers randomized to Expectancy Challenge and Coping Enhancement conditions demonstrated the longest latencies, with shorter latencies observed for those randomized to c ontrol conditions Number of puffs taken and total time spent smoking. Similar ANOVAs were performed to test for group differences on number of puffs taken and total time spent smoking. No extreme values were identified. Results indicated that smokers ra nd omized to Expectancy Challenge conditions took significantly fewer puffs [ F (1, 128) = 5.41, p = .02 f = .2 1 ] and spent less time smoking [ F (1, 128) = 5.53, p = .02 f = .2 1 ], relative to smokers randomized to No Expectancy Challenge conditions (see Table 1). Coping Enhancement effects were not significant for number of puffs [ F (1, 1 28 ) = 0.21, p = .65 f = 04 ] or time spent smoking [ F (1, 128) = 0.68, p = .41 f = 07 ], and no significant interactions were observed (both p s > .29).
20 Table 1 Means (Standard Errors) for Post Pain Induction Measures of Smoking Motivation Main Effects Expectancy Challenge No Expectancy Challenge Coping Enhancement No Coping Enhancement Craving 25.31 (1.66) 37.48 (1.70) ** 27.85 (1.66) 34.94 (1.70) Latency 5.90 (0.91 ) 3.19 (0.92) 6.10 (0.92) 2.99 (0.91) # Puffs 10.17 (0.68) 12.39 (0.68) 11.06 (0.68) 11.50 (0.68) ns Time Smoke 244.3 (16.1) 297.8 (16.1) 261.7 (16.1) 280.4 (16.1) ns Note. Craving = covariate adjusted urge ratings (controlling for baseline QSU B Total = 29.39). Latency = duration of time (in seconds) from when participants were given the opportunity to smoke until they lit their cigarette. # Puffs = total number of puffs taken. Time Smoke = total time spent smoking (in seconds). p < .05. ** p < .001. Additional Analyses Impression management. To test for potential bias in self report responding, BIDR IM scores were correlated with baseline, pre/post manipulation, and pre/post pain induction self report measures. No significant correlations were found between these measures when tested either within or across experimental conditions. Affect. To examine effects of the Expectancy Challenge and the Coping Enhancement on self reported positive and negative affect, separate ANCOVAs were conducted (co ntrolling for baseline PANAS scores). Analysis revealed that participants randomized to Coping Enhancement conditions reported greater post pain induction positive affect ( M = 31.02; SE = .79) than No Coping Enhancement participants (M = 28.47; SE = .79), F (1, 127) = 5.03, p = .02 f = 15 Conversely, there was no effect of the
21 Expectancy Challenge on positive affect ( p =.89). There was also no effect of either manipulation on negative affect (both p s > .60). Mediation. To follow up on our finding that Cop ing Enhancement participants reported greater post pain induction positive affect, mediation analyses were conducted to determine whether urge ratings were suppressed among Coping Enhancement participants due to increased positive affect. Formal significan ce tests of the indirect effect of positive affect on urge to smoke (see Preacher & Hayes, 2004) revealed no evidence of mediation. Pain and cold pressor tolerance. We expected that smokers randomized to Coping Enhancement conditions would report less pain and keep their hand in the cold water for longer than would smokers randomized to No Coping Enhancement conditions. Although we observed no differences in pain reporting ( M = 7.49; SE = .19; p = .48), analysis did indicate that Coping Enhancement particip ants ( M = 50.89; SE = 6.35) were able to keep their hand submerged for substantially longer (+21.01 seconds, p = .02) than their No Coping Enhancement counterparts ( M = 29.88; SE = 6.35).
22 Discussion The main goal of the current study was to determine wheth er the previously demonstrated causal pathway between situational pain and increased motivation to smoke (i.e., Ditre & Brandon, 2008) could be disrupted by invoking social learning theory based constructs known to influence smoking behavior and pain react ivity (i.e., s moking related outcome expectancies c oping behaviors and c oping self efficacy/outcome expectancies ). Furthermore, these constructs were selected for their potential to inform the conceptualization and development of interventions for person s with comorbid pain and tobacco dependence disorders As hypothesized, participants randomized to experimental conditions designed to (a) challenge expectancies that smoking may help one cope with or reduce pain ( Expectancy Challenge ), or (b) introduce an effective pain coping strategy enhanced with positive self efficacy and outcome expectancy feedback ( Coping Enhancement ), reported significantly lower smoking urges and demonstrated longer latencies to smoke following pain induction, relative to controls (No Expectancy Challenge or No Coping Enhancement respectively). Expectancy Challenge smokers also took fewer puffs and spent less time smoking than No Expectancy Challenge smokers. Results further revealed an unexpected Expectancy Challenge x Coping En hancement interaction for self reported urge to smoke. However, this interaction appears to be removable (i.e., a non crossover interaction). Pairwise comparisons were
23 significant only when the No Expectancy Challenge + No Coping Enhancement condition was compared with each of the other three experimental conditions. This finding is consistent with the observed main effects in that any permutation of the active manipulations effectively suppressed craving relative to controls. In other words, the manipulati on effects were not found to be additive or synergistic. Based on these findings, and extrapolating from the extant pain and smoking literature, we conceptualized the following relationship between the constructs under investigation and the causal relation between pain and motivation to smoke. Figure 2. Conceptualized causal relationship between pain and motivation to smoke as a function of smoking related outcome expectancies and use of pain coping behaviors. Pain C oping B ehaviors First, we pr opose that following the experience of situational pain, smokers who utilize effective pain coping behaviors and strategies may experience reduced pain reactivity, which could in turn, result in decreased motivation to smoke. The current results provide s ome support for this notion. For example, participants who were instructed to cope during pain induction were able to keep their hands submerged longer, reported suppressed craving, and demonstrated longer latencies to light a cigarette when given the oppo rtunity to smoke. Future studies should determine which specific coping Pain Pain Coping Pain Reactivity Motivation to Smoke Expectancies for Pain Coping/Reduction via Smoking
24 strategies are most helpful for reducing motivation to smoke in response to pain. Expectancies for Pain Coping/Reduction via Smoking Next, the model presented in Figure 2 indicates tw o points at which smoking related outcome expectancies may influence the casual pathway between pain and smoking motivation. First, among tobacco users, the initial utilization of pain coping behaviors may depend on the degree to which an individual believ es that smoking will sufficiently diminish pain reactivity. That is, tobacco users who believe that smoking will provide an adequate pain coping solution may not engage or develop more adaptive coping strategies Second, smok ers who neglect to utilize pain coping behaviors or are unsuccessful in their employment of coping to curtail pain reactivity could, subsequently, experience increased motivation to smoke. This may be especially true for those tobacco users who hold strong expectancies that smoking will help them cope with or reduce pain. The current study focused only on the second point of intervention (bolded arrow in Figure 2) because participants were randomly assigned to either Coping Enhancement or No Coping Enhancement conditions. Thus, the influ ence of smoking related outcome assessed because participants were not given the choice of whether or not to employ the distraction based coping strategy. Nonetheless, the cu rrent results do provide some support for the hypothesis that an intervention component designed to reduce positive outcome expectancies that smoking can effectively help one cope with or reduce pain may result in decreased motivation to smoke in response to situational pain Future
25 pain coping/reduction via tobacco smoking may moderate (a) their decision to engage a more adaptive pain coping strategy, and (b) which forms of coping are employed (e.g., active vs. passive or cognitive vs. behavioral). With regard to our expectation that smokers randomized to Coping Enhancement conditions would report less pain and keep their hand immersed in the cold water for longer than smoke rs randomized to No Coping Enhancement conditions, results indicated that only the latter hypothesis was supported. One explanation for these findings may be that pain ratings were equivalent across Coping Enhancement and No Coping Enhancement conditions b ecause Coping Enhancement participants endured the cold pressor for longer than No Coping Enhancement participants. That is, perhaps we would have observed expected group differences in pain ratings if not for the fact that Coping Enhancement smokers were exposed to the pain stimulus for significantly longer than No Coping Enhancement smokers (albeit as a function of the coping task). Future studies should examine the effect of coping on pain induced smoking motivation within the context of experimental pai n modalities that allow researchers to equate the duration and quality of pain exposure across conditions (e.g., mechanical electrical stimulation). The main limitation of the current study is that a lthough a controlled, laboratory based experim ent maximizes internal validity, there is a cost to external validity. Experimental pain is not equivalent to clinical pain, and the current design excluded smokers who suffer from chronic pain. Thus, these results may not generalize to smokers suffering f rom clinical pain disorders. However, we have no reason to believe that the theoretical inferences derived from the current study would be inapplicable to persons
26 suffering from chronic or intermittent pain. It is also not unreasonable to consider that mec hanisms similar to those studied herein might play an important role in the maintenance of tobacco smoking among clinical pain populations. These considerations notwithstanding, it is important to note that the current study represents a nascent step in a programmatic line of inquiry into pain as a motivator of smoking. Clearly, further research is needed to adequately address both internal and external validity requirements before drawing any firm conclusions. For example, the current experimental paradigm should be extended to persons living with chronically painful conditions. It would be important to determine whether pain patients have entrenched pain smoking expectancies that would be more resistant to a brief laboratory manipulation. Pain patients may also be less reactive to laboratory induced pain. It would also be useful to examine pain related motivation to smoke in naturalistic (i.e., real world) settings, perhaps using ecological momentary assessment (e.g., Stone & Shiffman, 1994). In addition, o ur brief manipulations are not equivalent to actual clinical interventions. For example, participants in the Coping Enhancement conditions utilize d a distracting task that require d them to listen to and repeat aloud letters presented through headphones. Al though this coping strategy may appear somewhat artificial, with limited potential for real world and clinical application, it did allow us to directly test a theoretical mechanism of interest (i.e., Does any form of coping influence the relationship betwe en pain and increased smoking motivation?). Future investigations may build upon these findings by determining which forms of coping are most effective and appropriate, and assessing whether pain coping strategies currently in use by individuals
27 with chron ic conditions may influence the proposed pain smoking association. A third limitation is the possibility that experimenter demand may have influenced the current results, particularly as they relate to the Expectancy Challenge. For example, Expectancy Chal lenge participants were required to watch a video designed to reduce outcome expectancies that smoking can effectively help one cope with or reduce pain Shortly thereafter, and following pain induction, participants were asked to rate their desire to smok e and were given an opportunity to smoke one of their own cigarettes. Although it is plausible that Expectancy Challenge participants may have recognized that post pain craving was hypothesized to decrease, we took several steps to mitigate and assess for potential demand. First, the experimental video presented only information for which there was empirical support. This approach is highly consistent with clinical psychoeducational interventions designed to improve patient understand ing and enhance motivat ion to modify behavior. Second, the experimental video referred to relations between pain (particularly chronic pain) and tobacco smoking, in general. There was not mention of potential or anticipated associations between experimentally induced acute pain and either smoking urge or smoking behavior. Third, relative to self reported craving, it is more difficult to attribute observed group differences on the more objective, behavioral indices of smoking motivation (i.e., latency to smoke, number of puffs tak en, and total time spent smoking) to demand effects. Finally, to determine whether participant tendencies towards impression management and desirable responding may have influenced the current findings, we reran our ANCOVAs with BIDR IM scores as an added covariate. Analyses revealed no evidence of association between BIDR IM
28 scores and any of the outcomes reported herein (all p s > .30). Future studies should (a) attempt to reduce the potential for demand in manipulating smoking related outcome expectancies (b) examine how long such expectancy effects may last, and (c) determine how to increase their duration and enhance generalizability. In summary, this study provides the first experimental evidence that constructs derived from social cognitive theory may represent important mechanisms underlying the causal relationship between pain and motivation to smoke. Specifically, manipulations intended to (a) reduce positive outcome expectancies that smoking can effectively help one cope with or reduce pain and (b ) employ a distraction based pain coping strategy enhanced with positive self efficacy and outcome expectancy feedback each resulted in reduced craving and increased latency to smoke, relative to controls. The primary str ength of the current study is that it was designed to serve as an analogue test of theoretical mechanisms (as extrapolated from both the pain and smoking literature) that have the potential to influence the development of clinical interventions for persons with comorbid pain and substance use disorders Like smoking, c hronic pain is a critical national health problem It has been estimated that up to 60 million Americans suffer from chronic pain (American Pain Society, 2003; Gallagher, 1999) and a recent nationwide survey revealed that mor e than half of all Americans experience either intermittent or chronic pain (Stanford University Medical Center, 2005). With future studies addressing both internal and external validity requirements, there is potential for the development of empirically g rounded interventions for smokers in pain.
29 References Aamodt, A. H., Stovner, L. J., Hagen, K., Brathen, G., & Zwart, J. (2006). Headache prevalence related to smoking and alcohol use. The Head HUNT Study. European Journal of Neurology, 13 (11), 1233 123 8. Albano, S. A., Santana Sahagun, E., & Weisman, M. H. (2001). Cigarette smoking and rheumatoid arthritis. Seminars in Arthritis and Rheumatism, 31 (3), 146 159. American Pain Society (2003). Principles of analgesic use in the treatment of acute pain and c ancer pain (5th ed.) Glenview, IL: Author. Bandura, A. (1977). Social Learning Theory New York: General Learning Press. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory Englewood Cliffs, NJ: Prentice Hall. Bandura, A., Cioffi, D., Taylor, C. B., & Brouillard, M. E. (1988). Perceived self efficacy in coping with cognitive stressors and opioid activation. Journal of Personality and Social Psychology, 55 (3), 479 488. Brandon, T. H., & Baker, T. B. (1991). The Smoking C onsequences Questionnaire: The subjective expected utility of smoking in college students. Psychological Assessment, 3 (3), 484 491. Brandon, T. H., Herzog, T. A., Irvin, J. E., & Gwaltney, C. J. (2004). Cognitive and social learning models of drug dependen ce: implications for the assessment of tobacco dependence in adolescents. Addiction, 99 Suppl 1 51 77.
30 Brandon, T. H., Juliano, L. M., & Copeland, A. C. (1999). Expectancies for tobacco smoking. In I. Kirsch (Ed.), How expectancies shape experience (pp. 2 63 299). Washington, DC: American Psychological Association. Brandon, T. H., Wetter, D. W., & Baker, T. B. (1996). Affect, expectancies, urges, and smoking: Do they conform to models of drug motivation and relapse? Experimental and Clinical Psychopharmacol ogy, 4 (1), 29 36. Byrne, D. (1961). The repression sensitization scale: rationale, reliability, and validity. Journal of Personality, 29 334 349. CDC (2008a). Cigarette Smoking Among Adults United States, 2007. Morbidity and Mortality Weekly Report, 57 ( 45), 1221 1226. Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5745a2.htm CDC (2008b). Smoking Attributable Mortality, Years of Potential Life Lost, and Productivity Losses United States, 2000 2004. Morbidity and Mortality Weekly Report, 57 (45 ), 1226 1228. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.) Hillsdale, NJ: Erlbaum. Cooper, M. L., Russell, M., & George, W. H. (1988). Coping, expectancies, and alcohol abuse: a test of social learning formulations. J ournal of Abnormal Psychology, 97 (2), 218 230. Copeland, A. L., & Brandon, T. H. (2000). Testing the causal role of expectancies in smoking motivation and behavior. Addictive Behaviors, 25 (3), 445 449.
31 Cox, L. S., Tiffany, S. T., & Christen, A. G. (2001). Evaluation of the brief questionnaire of smoking urges (QSU brief) in laboratory and clinical settings. Nicotine and Tobacco Research, 3 (1), 7 16. Davidson, M., Davidson, P., Tripp, D., & Borshch, Y. (2005). Cigarette smoking and chronic pain: Relationship to pain severity and affective distress. The Journal of Pain, 6 (3, Supplement 1), S61 S61. Devine, D. P., & Spanos, N. P. (1990). Effectiveness of maximally different cognitive strategies and expectancy in attenuation of reported pain. Journal of Personal ity and Social Psychology, 58 (4), 672 678. Ditre, J. W., & Brandon, T. H. (2008). Pain as a motivator of smoking: effects of pain induction on smoking urge and behavior. Journal of Abnormal Psychology, 117 (2), 467 472. Ditre, J. W., & Brandon, T. H. (under review). Pain, Nicotine, and Smoking: Research Findings and Theoretical Considerations. Ditre, J. W., Gonzalez, B. D., Simmons, V. N., Faul, L., Jacobsen, P. B., & Brandon, T. H. (under review). Associations between pain and smoking status among cancer pa tients. Dworkin, R. H., Turk, D. C., Farrar, J. T., Haythornthwaite, J. A., Jensen, M. P., Katz, N. P., et al. (2005). Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain, 113 (1 2), 9 19. Eriksen, W. B., Brage, S., & Bruus gaard, D. (1997). Does smoking aggravate musculoskeletal pain? Scandinavian Journal of Rheumatology, 26 (1), 49 54.
32 Fertig, J. B., Pomerleau, O. F., & Sanders, B. (1986). Nicotine produced antinociception in minimally deprived smokers and ex smokers. Addict ive Behaviors, 11 (3), 239 248. Fiore, M. C., Jaen, C. R., Baker, T. B., Bailey, W. C., Benowitz, N. L., Curry, S. J., et al. (2008). Treating Tobacco Use and Dependence: 2008 Update Clinical Practice Guideline. Rockville, MD: U.S. Department of Health and Human Services. Public Health Service. May 2008. Fishbain, D. A., Lewis, J. E., Cole, B., Cutler, R. B., Rosomoff, H. L., & Rosomoff, R. S. (2007). Variables associated with current smoking status in chronic pain patients. Pain Medicine, 8 (4), 301 311. Ga llagher, R. M. (1999). Primary care and pain medicine. A community solution to the public health problem of chronic pain. Medical Clinics of North America, 83 (3), 555 583, v. Girdler, S. S., Maixner, W., Naftel, H. A., Stewart, P. W., Moretz, R. L., & Ligh t, K. C. (2005). Cigarette smoking, stress induced analgesia and pain perception in men and women. Pain, 114 (3), 372 385. Goldman, M. S. (1999). Expectancy operation: Cognitive neural models and architectures. In I. Kirsch (Ed.), How expectancies shape exp erience (pp. 41 63). Washington, DC: American Psychological Association. Goldman, M. S. (2002). Expectancy and risk for alcoholism: the unfortunate exploitation of a fundamental characteristic of neurobehavioral adaptation. Alcoholism, Clinical and Experim ental Research, 26 (5), 737 746.
33 Hahn, E. J., Rayens, M. K., Kirsh, K. L., & Passik, S. D. (2006). Brief report: Pain and readiness to quit smoking cigarettes. Nicotine & Tobacco Research, 8 (3), 473 480. Haythornthwaite, J. A., Menefee, L. A., Heinberg, L. J., & Clark, M. R. (1998). Pain coping strategies predict perceived control over pain. Pain, 77 (1), 33 39. Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerstrom, K. O. (1991). The Fagerstrom Test for Nicotine Dependence: a revision of the Fager strom Tolerance Questionnaire. British Journal of Addiction, 86 (9), 1119 1127. Heishman, S. J. (1999). Behavioral and cognitive effects of smoking: relationship to nicotine addiction. Nicotine and Tobacco Research, 1 Suppl 2 S143 147; discussion S165 146. Jamison, R. N., Stetson, B. A., & Parris, W. C. (1991). The relationship between cigarette smoking and chronic low back pain. Addictive Behaviors, 16 (3 4), 103 110. Jamner, L. D., Girdler, S. S., Shapiro, D., & Jarvik, M. E. (1998). Pain inhibition, nicot ine, and gender. Experimental and Clinical Psychopharmacology, 6 (1), 96 106. Jarvik, M. E., Caskey, N. H., Rose, J. E., Herskovic, J. E., & Sadeghpour, M. (1989). Anxiolytic effects of smoking associated with four stressors. Addictive Behaviors, 14 (4), 379 386. Jensen, M. P., Turner, J. A., & Romano, J. M. (1991). Self efficacy and outcome expectancies: relationship to chronic pain coping strategies and adjustment. Pain, 44 (3), 263 269.
34 Kassel, J. D., Stroud, L. R., & Paronis, C. A. (2003). Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking. Psychological Bulletin, 129 (2), 270 304. Keefe, F. J., Kashikar Zuck, S., Robinson, E., Salley, A., Beaupre, P., Caldwell, D., et al. (1997). Pain coping strategies that pr edict patients' and spouses' ratings of patients' self efficacy. Pain, 73 (2), 191 199. Keogh, E., Hatton, K., & Ellery, D. (2000). Avoidance versus focused attention and the perception of pain: differential effects for men and women. Pain, 85 (1 2), 225 230 Marino, J., Gwynn, M. I., & Spanos, N. P. (1989). Cognitive mediators in the reduction of pain: the role of expectancy, strategy use, and self presentation. Journal of Abnormal Psychology, 98 (3), 256 262. Marlatt, G. A., & Gordon, J. R. (1985). Relapse P revention New York: Guilford Press. Michna, E., Ross, E. L., Hynes, W. L., Nedeljkovic, S. S., Soumekh, S., Janfaza, D., et al. (2004). Predicting aberrant drug behavior in patients treated for chronic pain: importance of abuse history. Journal of Pain an d Symptom Management, 28 (3), 250 258. Palmer, K. T., Syddall, H., Cooper, C., & Coggon, D. (2003). Smoking and musculoskeletal disorders: findings from a British national survey. Annals of the Rheumatic Diseases, 62 (1), 33 36.
35 Paulhus, D. L., Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measurement and control of response bias Measures of personality and social psychological attitudes. (pp. 17 59). San Diego, CA, US: Academic Press. Payne, T. J., Stetson, B., Stevens, V. M., Johnson, C. A., P enzien, D. B., & Van Dorsten, B. (1991). The impact of cigarette smoking on headache activity in headache patients. Headache, 31 (5), 329 332. Pomerleau, O. F. (1986). Nicotine as a psychoactive drug: anxiety and pain reduction. Psychopharmacology Bulletin, 22 (3), 865 869. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36 (4), 717 731. Rainville, P., Feine, J. S., Bushnell, M. C., & Duncan, G. H. (1992). A psychophysical comparison of sensory and affective responses to four modalities of experimental pain. Somatosensory and Motor Research, 9 (4), 265 277. Riley, J. L., 3rd, Tomar, S. L., & Gilbert, G. H. (2004). Smoking and smokeless tobacco: increased risk for oral pain. Journal of Pain, 5 (4), 218 225. Rokke, P. D., Fleming Ficek, S., Siemens, N. M., & Hegstad, H. J. (2004). Self efficacy and choice of coping strategies for tolerating acute pain. Journal of Behavioral Medicine, 27 (4) 343 360. Rosenstiel, A. K., & Keefe, F. J. (1983). The use of coping strategies in chronic low back pain patients: relationship to patient characteristics and current adjustment. Pain, 17 (1), 33 44.
36 Silverstein, B. (1982). Cigarette smoking, nicotine add iction, and relaxation. Journal of Personality and Social Psychology, 42 (5), 946 950. Stanford University Medical Center (2005). Physical Pain Aggravates Majority Of Americans, According To Poll Retrieved November 4, 2008, from http://www.sciencedaily.com/ releases/2005/05/050509171112.htm Steele, C. M., & Josephs, R. A. (1990). Alcohol myopia. Its prized and dangerous effects. American Psychologist, 45 (8), 921 933. Stone, A. A., & Shiffman, S. (1994). Ecological Momentary Assessment (EMA) in behavioral medi cine. Annals of Behavioral Medicine, 16 199 202. Waldie, K. E., McGee, R., Reeder, A. I., & Poulton, R. (2008). Associations between frequent headaches, persistent smoking, and attempts to quit. Headache, 48 (4), 545 552. Watson, D., Clark, L. A., & Telleg en, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54 (6), 1063 1070. Wills, T. A., & Hirky, A. E. (1996). Coping and substance abuse. In M. Zeidner & N. S. Endler (Eds.), Handbook of Coping: Theory, Research, and Applications (pp. 279 302). New York: Wiley. Zvolensky, M. J., McMillan, K., Gonzalez, A., & Asmundson, G. J. (2009). Chronic pain and cigarette smoking and nicotine dependence among a represen tative sample of adults. Nicotine and Tobacco Research
38 Appendix A: Questionnaire of Smoking Urges Brief Indicate how much you agree or disagree with each of the following statements by marking one of the circles between STRONGLY DISAGREE and STRONGLY AGREE. The closer you place your mark to one end or the other indicates the strength of your agreement or disagreement. We are interested in how you are thinking and feeling right now as you are filling out the questionnaire. 1. I have a desire for a cigarette right now. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 2. Nothing would be better than smoking a cigarette right now. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 3. If it were possible, I prob ably would smoke now. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 4. I could control things better right now if I could smoke. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 5. All I want right now is a cigarette. STRONGLY DIS AGREE O O O O O O O STRONGLY AGREE 6. I have an urge for a cigarette. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 7. A cigarette would taste good right now. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 8. I would do almost anything for a cigarette now. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 9. Smoking would make me less depressed. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE 10. I am going to smoke as soon as possible. STRONGLY DISAGREE O O O O O O O STRONGLY AGREE
39 Appendix B : Pain and Smoking Expectancies Measure INSTRUCTIONS: Below is a list of statements about smoking. Each statement contains a possible consequence of smoking. For each of the statements listed below, ple ase rate how LIKELY or UNLIKELY you believe each consequence is for you when you smoke. If the consequence seems UNLIKELY to you, mark a number from 0 4. If the consequence seems LIKELY to you, mark a number from 5 9. That is, if you believe that a conse quence would never happen, mark the 0; if you believe a consequence would happen every time you smoke, mark the number 9. Use the guide below to aid you further: 0 1 2 3 4 5 6 7 8 9 Completely Extremely Very Somewhat Little Little Somewhat Very Extremel y Completely UNLIKELY LIKELY 1. Smoking would ease my pain if I were hurting. 0 1 2 3 4 5 6 7 8 9 2. If I were to experience pain, a cigarette would help reduce it. 0 1 2 3 4 5 6 7 8 9 3. If I hurt myself, I would feel less pain if I could smoke. 0 1 2 3 4 5 6 7 8 9 4. When I feel pain, a cigarette can really help. 0 1 2 3 4 5 6 7 8 9 5. I feel like smoking would help me cope with pain. 0 1 2 3 4 5 6 7 8 9
40 Appendix C : Perceived Self Efficacy to Manage Pain Scale 1: Please indicate ho w confident you are that you will be able to keep your hand in the cold water for each amount of time listed below by circling any of the numbers between 100% confidence and 0% confidence. Please stop circling when you reach 0% confidence. TIME CONFIDENC E I think I will be able to keep my hand in the cold water for: Not Very Confident Somewhat Confident Highly Confident 5 seconds 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 10 seconds 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 15 seconds 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 30 seconds 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 45 seconds 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 minute 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 minute 15 se c 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 minute 30 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 minute 45 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2 minutes 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2 minutes 15 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2 minutes 30 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2 minutes 45 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 3 minutes 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 3 minutes 15 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 3 minutes 30 sec 0% 10% 2 0% 30% 40% 50% 60% 70% 80% 90% 100% 3 minutes 45 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 4 minutes 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 4 minutes 15 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 4 minutes 30 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 4 minutes 45 sec 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 5 minutes 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
41 Appendix C : (Continued) Scale 2: People sometimes do things to reduce (or cope with) their pain without taking me dication. Please indicate your degree of confidence to reduce (or cope with) the different types of pain you might feel from placing your hand in the cold water. CONFIDENCE TO REDUCE (OR COPE WITH) DIFFERENT TYPES OF PAIN Not Very Confident Somewhat C onfident Highly Confident If I felt a DULL PAIN least a small amount (some coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a moderate amount (moderate coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a large amount (excellent coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% If I felt an ACHING PAIN least a small amount (some coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a moderate amount (moderate coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a large amount (excellent coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% If I felt a PENETRATING PAIN I could reduce it by at least a small amount (some coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a moderate amount (moderate coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a large a mount (excellent coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
42 Appendix C : (Continued) If I felt an EXCRUCIATING PAIN least a small amount (some coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% y at least a moderate amount (moderate coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% least a large amount (excellent coping) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
43 Appendix D : Positive a nd Negative Affect Schedule This scale consists of a number of words that describe different feelings and emotions. Read each item and then mark the appropriate answer in the space next to that word. Indicate to what extent you feel this way at this moment Use the following scale to record your answers. 1 2 3 4 5 very slightly or not at all a little moderately quite a bit extremely ______interested ______irritable ______distressed ______alert ______excited ______ashamed ______upset ______inspired ______st rong ______nervous ______guilty ______determined ______scared ______attentive ______hostile ______jittery ______enthusiastic ______active ______proud ______afraid
44 Appendix E : Balanced Inventory of Desirable Responding IM I ndicate the extent to which you agree or disagree with the following statements using the scale below. 1 2 3 4 5 6 7 Not True Somewhat True Very True 1) I sometimes tell lies if I have to. 1 2 3 4 5 6 7 2) I never cover up my mistakes. 1 2 3 4 5 6 7 3) There have been occasions when I have taken advantage of someone. 1 2 3 4 5 6 7 4) I never swear. 1 2 3 4 5 6 7 5) I sometimes try to get even rather than forgive and forget. 1 2 3 4 5 6 7 6) ikely to get caught. 1 2 3 4 5 6 7 7) I have said something bad about a friend behind his or her back. 1 2 3 4 5 6 7 8) When I hear people talking privately, I avoid listening. 1 2 3 4 5 6 7 9) I have received too much change from a salesperso n without telling him or her. 1 2 3 4 5 6 7 10) I always declare everything at customs. 1 2 3 4 5 6 7 11) When I was young I sometimes stole things. 1 2 3 4 5 6 7 12) I have never dropped litter on the street. 1 2 3 4 5 6 7 13) I sometimes dr ive faster than the speed limit. 1 2 3 4 5 6 7 14) I never read sexy books or magazines. 1 2 3 4 5 6 7 15) 1 2 3 4 5 6 7 16) 1 2 3 4 5 6 7 17) I have taken sick leave from work or school even though I 1 2 3 4 5 6 7 18) I have never damaged a library book or store merchandise without reporting it. 1 2 3 4 5 6 7 19) I have some pretty awful habits. 1 2 3 4 5 6 7 20) 1 2 3 4 5 6 7
45 Appendix F : Bogus Personality Measure Listed below are a number of statements concerning personal attitudes and traits. Read each item and decide whether the statement is true or fals e as it pertains to you, personally. 1. T F My hardest battles are with myself. 2. T F I have several times given up doing a thing because I thought too little of my ability. 3. T F I am easily embarrassed. 4. T F I have had no difficulty in keeping my balance in walking. 5. T F I find it hard to keep my mind on a task or job. 6. T F I am apt to pass up something I want to do because others feel that I am not going abo ut it in the right way. 7. T F I believe I am no more nervous than most others. 8. T F I have more trouble concentrating than others seem to have. 9. T F I have few or no pains. 10. T F I do not tire quickly.
46 Appendix G : Numerical Rating Scale Please put a circle around the number that best describes your pain, at its worst, since placing your hand in the water. No pain 0 1 2 3 4 5 6 7 8 9 10 Pain as bad as you can imagine
47 Appendix H : Smoking Status Questionnaire 1. Date of Birth:______/______/______ Month Day Year 2. Sex: (check one) Male Female 3. Do you smoke cigarettes everyd ay? Yes No If No, stop here; If Yes, please continue 4. How many years have you been smoking daily?_________ 5. How many cigarettes do you smoke per day on average?_________ 6. Do you inhale? (circle one) NEVER SOMETIMES ALWAYS 7. Do you smoke more during the first two hours of the day than during the rest of the day? Yes No 8. How soon after you wake up do you smoke your first cigarette? Within 5 minutes 6 30 minutes 31 60 minutes After 60 minutes 9. Which of all the cigarettes you smoke would you most hate to give up? The first one in the morning The one with breakfast The one with lunch The one with dinner The las t cigarette before going to bed Other:_________________________ 10. Do you find it difficult to refrain from smoking in places where it is forbidden (eg. in church, at the library)? Yes No 11. Do you smoke if you are so ill that you are in bed most of the day?
48 Appendix I : Demographic Questionnaire The following questions are about yourself and your life situation. All answers will be kept confidential. 1. Gender: (check one) Male Female 2. What is your age? _________________ 3. Date of Birth:______/______/______ Month Day Year 4. What is your marital status? Single Married Separated Divorced Widowed 5. With which racial category do you most i dentify yourself? (please check one) American Indian/Alaska Native Asian Native Hawaiian or Other Pacific Islander Black or African American White 6. Are you Hispanic/Latino? Yes No 7. What is the highest grade level you have completed? Did not graduate high s chool High school graduate Some college Technical school/Associates degree 4 year college degree Some school beyond 4 year college degree Professional degree (e.g. MD, JD, PhD) 8. What is your total household income? Under $10,000 $10,000 $19,999 $20,000 $29,999 $30,000 $39,999 $40,000 $49,999 $50,000 $59,999 $60,000 $69,999 $70,000 $79,999 $80,000 $89,999 Over $90,000
About the Author University in 1998. He entered the Ph.D. program in Clinical Psychology at the University of South Florida in 2004. While in the Ph.D. program at the University of South Florida, Mr. Ditre participated in research activities at the Tobacco Research and Intervention Program, and served as a therapist in the Psychological Services Center. Under the supervision of his advisor, Dr. Thomas Brandon, he coauthored several publications and made many presentations at national conferences.
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Ditre, Joseph W.
Effects of expectancies and coping on pain-induced motivation to smoke
h [electronic resource] /
by Joseph W. Ditre.
[Tampa, Fla] :
b University of South Florida,
Title from PDF of title page.
Document formatted into pages; contains 48 pages.
Dissertation (Ph.D.)--University of South Florida, 2009.
Includes bibliographical references.
Text (Electronic dissertation) in PDF format.
ABSTRACT: The prevalence of tobacco smoking among persons with recurrent pain is approximately twice that observed in the general population. Smoking has been associated with the development and exacerbation of several chronically painful conditions. Conversely, there is both experimental and cross-sectional evidence that pain is a potent motivator of smoking. A recent study provided the first evidence that laboratory-induced pain could elicit increased craving and produce shorter latencies to smoke (Ditre & Brandon, 2008). To further elucidate interrelations between pain and smoking, and to identify potential targets for intervention, the current study tested whether several constructs derived from social-cognitive theory influence the causal pathway between pain and increased motivation to smoke. Smokers (N = 132) were randomly assigned to one of four conditions in this 2 X 2 between-subjects experimental design. Results indicated that manipulations designed to (a) challenge smoking-related outcome expectancies for pain reduction, and (b) enhance pain-related coping, each produced decreased urge ratings and increased latencies to smoke, relative to controls.
Mode of access: World Wide Web.
System requirements: World Wide Web browser and PDF reader.
Advisor: Thomas H. Brandon, Ph.D.
t USF Electronic Theses and Dissertations.