Relapse and maintenance issues for smoking cessation

This article reviews short-term (6 months) and longer term (12-24 months) maintenance of cessation and relapse in adult smokers and the factors and treatments that affect these outcomes. MedLine and PsycLIT searches were done for research published in English between 1988 and 1998 meeting a defined set of criteria. Intensive intervention, telephone counseling, and use of pharmacotherapy were found to improve outcomes; however, compared with public health approaches, they reach relatively few smokers. Brief interventions during medical visits are cost-effective and could potentially reach most smokers but are not consistently delivered. Predictors of relapse include slips, younger age, nicotine dependence, low self-efficacy, weight concerns, and previous quit attempts. Potential areas for research, recommendations for longer follow-up assessments, and standard definitions for slip, relapse, and long-term maintenance are discussed.

Behavioral risk factors among women presenting for genetic testing

Considerable research attention has been given to the impact of genetic testing on psychological outcomes. Participation in genetic testing also may impact on health behaviors that increase the risk of cancer and other chronic diseases. The purpose of this study is to describe behavioral cancer risk factors of women who requested genetic testing for breast and ovarian cancer susceptibility (BRCA1, BRCA2). Before participation in a genetic testing program, 119 women completed a series of questionnaires designed to assess their health behaviors, perception of risk, and depressive symptomatology. Eight percent of participants were current smokers, 27% did not engage in at least moderate exercise, 46% did not regularly protect themselves from the sun, 39% did not consume at least five servings of fruits and vegetables per day, and 9% drank at least one alcoholic beverage per day. Poisson regression analysis revealed that age was the only predictor of behavioral risk profiles, with older women having fewer cancer risk behaviors. These patients who presented for genetic testing generally had better health behaviors than the general population. However, given their possible high-risk status, these patients should consider further improving their preventable cancer risk factors and, in particular, their diet, sun protection, and physical activity levels. Inclusion of behavioral risk factor counseling in the context of the genetic testing process may be an important opportunity to reach this at-risk population.

Smoking cessation and tobacco control: an overview

Cigarette smoking is an intractable public health problem and the single largest risk factor for a variety of malignancies, including lung cancer. Worldwide, about 3 million people die each year of smoking-related disease, and this is expected to increase to > 10 million deaths per year. The Agency for Health Care Policy and Research has published a clinical practice guideline detailing available outcome data for various smoking cessation strategies. In particular, it has been recommended that all patients be screened for smoking status on every health-care visit, and that all patients who smoke be strongly advised to quit and offered assistance to do so. Health-care providers play a vital role in the effort to reduce the prevalence of smoking by delivering smoking cessation advice, supporting community-based efforts to control tobacco, and becoming involved in the tobacco control debate.

The Working Healthy Project: a worksite health-promotion trial targeting physical activity, diet, and smoking

Worksites are a key channel for delivery of interventions designed to reduce chronic disease among adult populations. Although some evaluations of worksite physical-activity interventions have been conducted, to date very few randomized trials of worksite health promotion have included the goal of increasing physical-activity levels as part of a comprehensive multiple risk factor approach to worksite health promotion. This article presents the results regarding behavior change found among the cohort of 2055 individuals who completed three health-behavior assessments as part of their worksites' participation in The Working Healthy Project (WHP), a multiple risk factor intervention implemented in 26 manufacturing worksites. In this study, a randomized matched-pair design was used. Fifty-one percent (n = 2,761) of the employees who completed the baseline assessment also completed the interim survey. Eighty-three percent of those who completed the interim assessment also completed the final survey. The WHP intervention targeted smoking, nutrition, and physical activity. At baseline, 38% of the sample reported engaging in regular exercise, and subjects reported consuming an average of 2.7 servings of fruits and vegetables per day, 7.9 grams of fiber per 1000 kilocalories, and 35.4% calories from fat per day; 28% of the sample were smokers. By the time of both the interim (intervention midpoint) and final (end of intervention) assessments, participants in the intervention condition had significantly increased their exercise behavior, compared with the control condition. There was also increased consumption of fruits and vegetables and fiber in the intervention condition by the time of the final assessment, compared with the control condition. No differences by condition were found with regard to percentage of calories from fat consumed or smoking cessation. These results suggest that among a cohort of participants in a worksite health promotion study, there were significant health behavior changes across two risk factors over time. These data suggest that further investigation of multiple risk factor worksite health promotion is warranted, particularly with a focus on ways to increase participation in these programs and to diffuse intervention effects throughout the entire workforce.

Do processes of change predict smoking stage movements? A prospective analysis of the transtheoretical model

The transtheoretical model (TTM) posits that processes of change and the pros and cons of smoking predict progressive movement through the stages of change. This study provides both a cross-sectional replication and a prospective test of this hypothesis. As part of a larger study of worksite cancer prevention (the Working Well Trial), employees of 26 manufacturing worksites completed a baseline and 2 annual follow-up surveys. Of the 63% of employees completing baseline surveys, 27.7% were smokers (N = 1,535), and a cohort of these smokers completed the 2-year follow-up. Cross-sectional results replicated previous studies with virtually all the processes of change and the cons of smoking increasing in linear fashion from precontemplation to preparation (all ps < .00001), and the pros of smoking decreasing (p < .01). However, contrary to the hypothesis, the baseline processes of change and the pros and cons of smoking failed to predict progressive stage movements at either the 1- or the 2-year follow-ups. Possible explanations for these findings and concerns about the conceptual internal consistency of the TTM are discussed.

A qualitative evaluation of the Harvard Cancer Risk Index

There is an extensive amount of information in the popular press about cancer risk factors. The volume and sometimes contradictory nature of this information makes it difficult for individuals to understand their own level of risk or how one risk factor compares with another. The Harvard Cancer Risk Index (HCRI) was developed by an interdisciplinary working group of epidemiologists and behavioral scientists to educate the public about the major risk factors associated with the 11 most common forms of cancer in the United States. Following the development and validation of the HCRI, we initiated a qualitative research study to obtain initial feedback on the wording and presentation of the index and to elicit information regarding the meaning of risks, perception of cancer, and interpretation of the HCRI results. The results indicated that the HCRI was well received by participants and that they highly regarded the inclusion of information related to the latest risks for cancer and the description of the mechanisms by which these factors impact on risk. Personalization of the risk score helped participants to focus on behaviors that they could change. However, dissatisfaction with the HCRI was noted by some participants because exposures they believed to be important were not included (e.g., poverty, toxic waste, air pollution). Evaluation of the impact of the index on intention to change provided preliminary evidence that this may be an effective toll for helping mobilize individuals toward change across a number of risk factors. Further quantitative evaluation of the HCRI is planned.

Characteristics of patients adhering to a hospital's no-smoking policy

OBJECTIVES

The purpose of this paper is to examine the characteristics of smokers who adhere to a hospital smoking ban, compared to those who do not.

DESIGN

The data presented in this paper are baseline and discharge survey data collected among hospitalized smokers.

SETTING

This study was conducted in two teaching hospitals in a northeastern city.

PATIENTS/PARTICIPANTS

The subjects were 358 smokers who participated in a larger smoking intervention trial.

MAIN RESULTS

Seventy-six percent of the subjects reported adhering to the smoke-free policy during their hospital stay. In a multivariate model, demographic factors that predicted adherence included being older, having shorter length of stay, not reporting recreational drug use in the previous 12 months, and not having alcohol-related problems. Smoking history variables that predicted adherence included having had at least 24 h of abstinence in the 7 days prior to hospitalization; self-efficacy variables (e.g., confidence in ability to quit smoking in 1 month and less anticipated difficulty refraining from smoking during hospitalization) also predicted adherence.

CONCLUSIONS

Understanding the factors that predict adherence to health care policies can provide useful information for health promotion interventions in a medical setting. The implications of these findings are discussed.

Factors influencing nutrition education for patients with low literacy skills

Although there has been increasing attention to cancer prevention among low-income and minority populations, only a few nutrition interventions have addressed the special needs of people with low literacy skills. To determine the best provider and the most effective format for a nutrition intervention targeting patients with low literacy skills, we conducted interviews with literacy experts and health care providers and focus groups with members of adult basic education classes. Thirty-five literacy experts and health-center-based physicians, nurses, and nutritionists in Boston, Mass, were interviewed. In addition, 50 volunteer clients from 4 Boston-based adult basic education programs participated in 6 focus groups. Results suggested that health care providers consider nutrition to be a fundamental health education topic, but that its successful inculcation in patients with limited literacy skills is hindered mostly by insufficient provider time. Almost all providers agreed that patients need to be referred to nutritionists for nutrition education. Although most providers and patients acknowledged that patients perceive physicians to be the authorities on health, patients with low literacy skills turned first to family members and friends for health information. These results suggest that effective nutrition interventions must build on patients' social networks; appear in a visually based, interactive format; and be culturally appropriate.

Evaluation of motivationally tailored vs. standard self-help physical activity interventions at the workplace

PURPOSE

This study compares the efficacy of a self-help intervention tailored to the individual's stage of motivational readiness for exercise adoption with a standard self-help exercise promotion intervention.

DESIGN

Interventions were delivered at baseline and 1 month; assessments were collected at baseline and 3 months.

SETTING

Eleven worksites participating in the Working Healthy Research Trial.

SUBJECTS

Participants (n = 1559) were a subsample of employees at participating worksites, individually randomized to one of two treatment conditions.

INTERVENTION

Printed self-help exercise promotion materials either (1) matched to the individual's stage of motivational readiness for exercise adoption (motivationally tailored), or (2) standard materials (standard).

MEASURES

Measures of stage of motivational readiness for exercise and items from the 7-Day Physical Activity Recall.

RESULTS

Among intervention completers (n = 903), chi-square analyses showed that, compared to the standard intervention, those receiving the motivationally tailored intervention were significantly more likely to show increases (37% vs. 27%) and less likely to show either no change (52% vs. 58%) or regression (11% vs. 15%) in stage of motivational readiness. Multivariate analyses of variance showed that changes in stage of motivational readiness were significantly associated with changes in self-reported time spent in exercise.

CONCLUSIONS

This is the first prospective, randomized, controlled trial demonstrating the efficacy of a brief motivationally tailored intervention compared to a standard self-help intervention for exercise adoption. These findings appear to support treatment approaches that tailor interventions to the individual's stage of motivational readiness for exercise adoption.

Predictors of smoking among US college students

OBJECTIVES

This study explored predictors of smoking among a large, representative national sample of students enrolled in American 4-year colleges.

METHODS

A sample of undergraduate students, randomly selected from 140 colleges, was sent a detailed questionnaire that included questions about smoking status.

RESULTS

The 30-day smoking prevalence was 22.3%; 25% of the participants were former smokers. Multivariate analyses suggested that, among college students, men are less likely to smoke than women. In addition, high-risk behaviors (e.g., marijuana use) and lifestyle choices (e.g., nonparticipation in athletics) increased the likelihood of being a smoker.

CONCLUSIONS

This study's findings have important implications for health education and promotion among college populations.

Tobacco control: a brief review of its history and prospects for the future

Smoking prevalence among American adults is at its lowest point in the last 30 years, and there is unprecedented popular support for tobacco control measures. The financial resources to carry on the battle for tobacco control are still heavily stacked in favor of the industry, which by current estimates is worth $45 billion, including $6 billion spent each year on advertising and promotion alone. Nonetheless, industry executives must realize that, even if they can win individual battles, they are losing the war. This article has discussed key events in the history of tobacco control, as well as some of the most innovative strategies currently being used for tobacco control. Although it is important that tobacco control efforts be disseminated widely and through novel channels, the challenge facing public health advocates in the next several decades will be to anticipate the industry's response to key initiatives, as well as to launch organized and strategic counterattacks against efforts to dissuade acceptance of such initiatives. The history of tobacco control demonstrates that public health advocacy resources should be strategically focused in precisely the areas in which the industry feels most vulnerable (e.g., nicotine addiction, regulation of nicotine, environmental tobacco smoke), rather than in areas in which the industry maintains a vocal presence for the purposes of public relations (e.g., youth access). Through its lobbying efforts and financial clout, the tobacco industry has played a key role in the development of public health policy. Although it is no secret that the tobacco industry regularly makes campaign contributions to both Republicans and Democrats, the impact of these donations on public policy making have only recently begun to be quantified and documented. Moore et al found that the more tobacco money a politician received, the less likely he or she was to support tobacco control legislation. Similar distortional effects of tobacco money have been demonstrated at the state level. The political expenditure of 12 tobacco firms increased 10-fold in California after the implementation of Proposition 99 in California--from $790,050 in the 1985-1986 election, to $7,615,091 in the 1991-1992 election. In an analysis of the behavior of the California legislature between 1991 and 1992, a statistically significant relationship was found between members' receipt of tobacco money and their likelihood of opposing tobacco control measures. Tobacco control advocates as well as health professionals in general have an important role to play in holding their legislators accountable for developing public health policy that reflects the concerns of their constituencies, not of the tobacco lobby. Public health advocates should pay particular attention to the recent regulations placed on cigarettes as a key tobacco control strategy for the next several decades. For the first time in the history of the United States, a President has introduced legislation that will allow a governmental agency to regulate tobacco. The FDA has faced relentless attacks by the tobacco industry, and it will continue to be a target. Public health advocates and health care providers have a critical role to play in the FDA's efforts to bring this issue to fruition. If the public health community fails to support this initiative and create an active and forceful opposition to the industry's efforts to derail it, it is likely that the impact on tobacco control efforts will be resounding and far-reaching.

Cognitive-behavioral mediators of changing multiple behaviors: smoking and a sedentary lifestyle

BACKGROUND

A significant percentage of the U.S. population has multiple poor health behaviors. Understanding the relationship among these behavioral risk factors is important for designing effective multiple risk factor interventions. While there is some evidence suggesting that participation in physical exercise may have a positive impact on smoking cessation, there is much to be learned about the relationships between cognitive-behavioral (self-efficacy, decisional-balance) and motivational mechanisms (stage of change) which have been shown to mediate changes in both exercise and smoking behavior.

METHODS

The sample comprised 332 smokers employed at two workplaces-a government agency and a medical center-recruited as part of a larger worksite health promotion project and who completed questionnaires on their smoking and exercise behaviors.

RESULTS

The results revealed significant relationships between smoking variables and exercise variables. Smokers who rated as important the positive benefits of smoking also rated as important the costs associated with increased physical activity. Similarly, the negative consequences of smoking were significantly associated with the positive benefits of physical activity. Self-efficacy for one behavior was significantly associated with self-efficacy for the other. Significant differences by exercise and smoking stage of change were found on the cross-behavior sets of variables (self-efficacy, pros, cons). Smokers who were contemplating a more active lifestyle reported the negative consequences of smoking to be significantly more important to them than smokers who were not considering adoption of a more active lifestyle. Smokers who were exercising regularly reported significantly more confidence in their ability to refrain from smoking than smokers not exercising regularly. Finally, smokers preparing for quitting reported less confidence in their ability to exercise than smokers who had already taken action to change their smoking behavior.

CONCLUSIONS

The cognitive mechanisms associated with changes in smoking behavior are related to the cognitive variables which have been shown to predict changes in exercise behavior. Significant relationships in mediating mechanisms including decisional balance and self-efficacy between smoking and exercise provide preliminary information on how change in one risk behavior may relate to change in another. These associations have implications for future intervention research and for methods research on multiple risk factors interactions.

Respiratory response to cigarette smoking among adolescent smokers: a pilot study

BACKGROUND

Because cigarette smoking affects the respiratory system earlier than many other systems of the human body, an attempt was made to identify objective and subjective respiratory problems among adolescent smokers.

METHODS

Two studies based on a pulmonary function test (PFT), respiratory symptom assessment, and other smoking-related variables were undertaken. Study 1 involved cigarette smokers (N = 18, 22% males, mean age 18.7 years) from a freshman college class who participated in an acute smoking experiment that involved performing a PFT before and after smoking a single cigarette. Study 2 was performed on a combined group of vocational-technical high school students and freshman college students (N = 44, 48% males, mean age 17.8 years) where PFT parameters, respiratory symptoms, and smoking-related health vulnerability were assessed among smokers vs nonsmokers.

RESULTS

In Study 1, the average reduction across PFT parameters was 4.4% and the mean estimated lung age increased from 27.15 to 29.84 years. In Study 2, a consistent trend toward reduction of PFT values among smokers vs nonsmokers was observed; the mean forced expiratory volume in 1 sec/forced vital capacity ratio (90.51% vs 94.59%), peak expiratory flow rate (80.32% vs 92.06%), and flow rate of 50% of forced vital capacity (88.39% vs 102.81%) differed significantly. Significant differences in respiratory symptoms were also observed among smokers vs nonsmokers.

CONCLUSIONS

The beginning of respiratory health disorders can be identified among adolescent smokers. These findings might provide important clues on how to improve outcomes from health care provider-based adolescent smoking cessation counseling.

Use of a 24-hour recall diary to assess exposure to environmental tobacco smoke

Methods to assess exposure to environmental tobacco smoke need to be valid and relatively easy to use. We therefore explored the use of a 24-h environmental tobacco smoke exposure-recall diary by comparing data from the 24-h diary with questionnaire responses and levels of salivary cotinine--a biochemical marker of environmental tobacco smoke exposure. A total of 875 nonsmokers at five Rhode Island worksites participated in the study. Twenty-five percent of the participants lived with smokers, and 96% had regular exposure to environmental tobacco smoke at work. Individuals who lived with smokers reported more exposures in the 24-h diary, both outside of work and during work hours, compared with those who had no smokers in their household. The correlation between saliva cotinine concentrations and the exposures recorded in the diary was weak (r = .10). Brief instruments for assessment of environmental tobacco smoke should be viewed cautiously, and use of this 24-h recall diary is not recommended.

Distribution of smokers by stage in three representative samples

OBJECTIVES

A key variable for the design of individual and public health interventions for smoking cessation is Stage of Change, a variable which employs past behavior and behavioral intention to characterize an individual's readiness to change. Reactively recruited samples distort estimates of the stage distribution in the population because such samples attract a disproportionate number of late-stage participants. Three representative samples are described which provide accurate estimates of the stage distribution in the population. These samples are of adequate size to permit within-sample comparisons with respect to sex, age, Hispanic or non-Hispanic origin, race, and education level. The implications of using stage distribution as a tool for planning intervention is discussed.

METHOD

The first sample of 4,144 smokers was from the state of Rhode Island and involved a random-digit-dial survey. The second sample of 9,534 smokers was from the state of California and involved a stratified random-digit-dial survey. The third sample of 4,785 smokers was from a total of 114 worksites located in four different geographic locations.

RESULTS

The stage distributions were approximately identical across the three samples, with approximately 40% of the sample in Precontemplation, 40% in Contemplation, and 20% in Preparation. The stage distribution was generally stable across age groups with the exception of the 65 years and older group. Education level did affect the stage distribution with the proportion of the sample in Precontemplation decreasing as education level increased. In all three samples, minor differences in stage distribution were related to Hispanic origin and race, but the pattern was not consistent across the samples.

CONCLUSIONS

The pattern of stage distribution has important implications for the design of interventions. Existing interventions are most appropriate for the Preparation stage, but the majority of the three samples were in the first two stages, resulting in a likely mismatch between the smoker and the intervention. The stability of distribution across age suggests that interventions that are appropriately matched to stage can be applied across all age groups. The differences found with respect to education, Hispanic origin, and race can serve as a guide to the tailoring of intervention materials.

Dietary intake and exposure to environmental tobacco smoke in a worksite population

OBJECTIVES

Nonsmokers who live with smokers have poorer dietary habits than those who live in nonsmoking households. This relationship may be due to shared lifestyle patterns by spouses and family members. However, in order to fully understand the nature of this relationship, it is also important to examine the association between diet and exposure to environmental tobacco smoke (ETS) at the workplace. Further, blue collar workers' patterns of exposure to ETS both at work and at home have not been studied. The goal of this study is to examine the dietary intake of manufacturing workers as it relates to exposure to ETS at work and at home.

METHODS

The Working Well Trial surveyed 10,833 nonsmokers about a variety of health behaviors, including smoking, dietary behaviors, and ETS exposure.

RESULTS

Nonsmokers who had ETS exposure in their household had significantly lower intake of all target micronutrients, compared to those without household exposure. Exposure to ETS at the workplace was associated with lower intakes of vitamin C and fruits and vegetables, but not the other micronutrients examined.

CONCLUSIONS

Exposure to ETS was associated with poorer dietary habits. Household exposure was a stronger predictor of intake than was workplace exposure. Because of the antagonistic effects of many components of a healthful diet in relation to the harmful effects of tobacco smoke, these findings have relevance larger than either ETS exposure or diet considered singly.

Smoking at home: the impact of smoking cessation on nonsmokers' exposure to environmental tobacco smoke

Nonsmokers who live with smokers are at increased risk for chronic disease. This study evaluated the impact of eliminating smoking in the home on nonsmokers' environmental tobacco smoke (ETS) exposure. Nonsmokers participated in measurements of their ETS exposure before and after the smoker in their home quit smoking. A matched comparison group of nonsmokers from nonsmoking homes was also included. ETS exposure was assessed using passive nicotine monitors, an exposure diary, and a questionnaire. Nonsmokers from smoking homes had significantly higher exposure to ETS than those from nonsmoking homes. There was a 60% reduction in nicotine levels following smoking cessation by the household smoker. However, there were still detectable levels of nicotine measured at posttest. These results have important implications for individual risk reduction and public health policy.

Smoking at home: the impact of smoking cessation on nonsmokers' exposure to environmental tobacco smoke

Nonsmokers who live with smokers are at increased risk for chronic disease. This study evaluated the impact of eliminating smoking in the home on nonsmokers' environmental tobacco smoke (ETS) exposure. Nonsmokers participated in measurements of their ETS exposure before and after the smoker in their home quit smoking. A matched comparison group of nonsmokers from nonsmoking homes was also included. ETS exposure was assessed using passive nicotine monitors, an exposure diary, and a questionnaire. Nonsmokers from smoking homes had significantly higher exposure to ETS than those from nonsmoking homes. There was a 60% reduction in nicotine levels following smoking cessation by the household smoker. However, there were still detectable levels of nicotine measured at posttest. These results have important implications for individual risk reduction and public health policy.

Smoking interventions for patients with cancer: guidelines for nursing practice

PURPOSE/OBJECTIVES

To identify strategies for oncology nurses to assist patients with cancer in modifying their smoking behaviors.

DATA SOURCES

Published research articles, conference proceedings, Surgeon General Reports, and book chapters.

DATA SYNTHESIS

Cigarette smoking is associated with a variety of cancers, and persistent smoking following a cancer diagnosis contributes to increased morbidity and mortality. Smoking cessation affords numerous health benefits to patients with cancer, including improved respiratory functioning, increased activity tolerance, and a personal sense of accomplishment. To date, few smoking interventions have targeted patients with cancer.

CONCLUSIONS

Oncology nurses can become more actively involved in effective smoking interventions by incorporating current research findings and theoretical models of behavior change into daily practice.

NURSING IMPLICATIONS

Oncology nurses can more effectively help their patients who smoke by assessing smoking status and patients' readiness to quit; providing brief, supportive messages consistently over time; offering or referring patients to appropriate resources; and providing continued follow-up.

Mechanisms in multiple risk factor interventions: smoking, physical activity, and dietary fat intake among manufacturing workers. Working Well Research Group

BACKGROUND

Individuals who have multiple poor health behaviors account for a disproportionately large percentage of the preventable U.S. health care cost burden. Understanding the relationships between multiple risk factors is important for the design of both individual and public health interventions. There have been few efforts to examine the co-occurrence of psychosocial and motivational mechanisms that mediate smoking, dietary fat intake, and physical activity in a defined population of blue collar workers.

METHODS

The sample comprised 1,559 manufacturing workers who participated in a self-help physical activity intervention and who completed a computerized assessment battery about their smoking, dietary fat intake, physical activity, and demographic characteristics.

RESULTS

Twenty-six percent of the sample were smokers, 51% did not exercise regularly, and 35% consumed more than an estimated 40% of calories per day from fat. Almost half of the sample was in the later stages of readiness for physical activity and dietary fat intake, compared with only 3% for smoking. Only 12% of the smokers had smoking as their only risk factor. Smokers were significantly more likely to engage in poor dietary and physical activity behaviors, compared with nonsmokers. The relationship among smoking status and the other risk factors was apparent both in terms of dietary fat and physical activity behaviors, as well as mediators such as motivation for change. Lower dietary fat intake was associated with an absence of the other two risk factors.

CONCLUSIONS

The results suggest that there are important mediating mechanisms both within and among workers with one or more risk factors. Smokers are a particularly important target for health promotion interventions, and it may be possible to make initial contact with them through other health programs at the worksite. The role of other lifestyle changes as a gateway to smoking cessation has not yet been explored, but may have potential for reaching smokers who are very low in their motivational readiness to change. The implications of these findings for research and the design of multiple risk factor interventions are discussed.

Recruitment of work sites to a health promotion research trial. Implications for generalizability

The characteristics of companies that either accepted or declined participation in a 5-year randomized trial of a multirisk factor health promotion intervention were compared to investigate potential limitations on the generalizability of research findings. A representative sample of 151 manufacturing work sites in the northeast was recruited to participate. Sixty-four of the companies were determined to be eligible and 10 others, which refused to have an administrator interviewed, were presumed to be eligible. Of this group, 27 companies agreed to participate. Work force demographics, shift structure, and prior history of health promotion offerings were not significantly different in the two groups. However, participating companies employed fewer workers and had a more favorable financial outlook than did companies that declined to participate. Implications of these findings for research on work site health promotion are discussed.