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Smoking prevalence and risk factors for smoking in a population of United States Air Force basic trainees
  1. C Keith Haddocka,
  2. Robert C Klesgesb,
  3. Gerald W Talcottc,
  4. Harry Landod,
  5. Risa J Steine
  1. aDepartment of Psychology, College of Arts and Sciences, University of Missouri-Kansas City, Missouri, USA, bUniversity of Memphis Prevention Center, Memphis, Tennessee, cWilford Hall Medical Center, Lackland Air Force Base, Texas, dUniversity of Minnesota, Minneapolis, Minnesota, eRockhurst College, Kansas City, Missouri
  1. Dr CK Haddock, Department of Psychology, College of Arts and Sciences, University of Missouri-Kansas City, 5100 Rockhill Road, Kansas City, Missouri 64110–2499, USA.chaddock{at}cctr.umkc.edu

Abstract

OBJECTIVE To provide a comprehensive assessment of smoking prevalence and risks for smoking in an entire population of United States Air Force (USAF) military basic trainees (n = 32 144).

DESIGN Population-based survey with every individual entering the USAF enlisted force from August 1995 to August 1996.

SETTING USAF Basic Military Training (BMT) facility at Lackland Air Force Base, Texas. All trainees were assessed during the first week of BMT.

MAIN OUTCOME MEASURES A 53-item questionnaire was developed to assess four domains: demographics, smoking history, risk factors for smoking, and other health behaviours.

RESULTS Approximately 32% of the trainees smoked regularly before basic training and a small percentage of the trainees (7.6%) described themselves as ex-smokers. Men, Euro-Americans, and those from lower educational backgrounds were more likely to smoke than other trainees. On average, smokers had smoked for approximately four years and had low nicotine dependence scores. Individuals who had smoked before BMT were more likely to use other drugs (such as alcohol, binge drinking, smokeless tobacco), and were less physically active than never-smokers. These findings were particularly strong for those who smoked up to basic training but were also evident for ex-smokers.

CONCLUSIONS Smoking is a prevalent risk factor among individuals entering the USAF. Furthermore, smoking was related to other risk factors believed to lower military readiness, including alcohol use and decreased physical activity. Comprehensive tobacco control policies aimed at reducing smoking among military trainees are needed.

  • military trainees
  • smoking prevalence
  • United States

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There are now tens of thousands of studies linking cigarette smoking to increased morbidity and mortality from cardiovascular diseases, various forms of cancer, and chronic obstructive pulmonary disease.1 It is estimated that annually in the United States, smoking is causally related to 170 000 deaths from cardiovascular disease, 130 000 deaths from cancer, and 50 000 deaths from chronic obstructive pulmonary disease.2 Given the severe health effects of smoking, the United States military has become increasingly concerned about the rate of smoking among its personnel. Smoking and its related health problems cost the military nearly $1 billion each year among active duty personnel alone and clearly impacts the health and safety of combat troops.3

Unfortunately, comprehensive studies of the smoking patterns and predictors of tobacco use among those recruited for military service are lacking. The purpose of this study is to provide a comprehensive assessment of smoking prevalence and risk factors for smoking in an entire population (n >32 000) of United States Air Force (USAF) basic military trainees. A comprehensive examination of tobacco use among young adults entering military service should provide important data for military tobacco control efforts.

Methods

SUBJECTS, DEFINITIONS, AND PROCEDURE

A total of 32 144 individuals who completed basic military training (BMT) from August 1995 to August 1996 were included in the study. Because a smoking cessation programme was incorporated as part of BMT, it became a part of the instructional mission of the Air Force and therefore was a required training experience. The human subjects protocol for this project was reviewed by the Air Force Surgeon General’s Office CID (Clinical Investigations Directorate), the granting institute, and the university receiving funding (University of Memphis), and was approved as exempt by all three. Because of a comprehensive ban on tobacco use during BMT, all participants were abstinent during the study. Table 1 presents demographic data for this population, stratified by gender.

Table 1

Population demographics

A 53-item questionnaire, developed for use in this study, was administered in the first week of basic training in a group setting in “flights” of approximately 50 basic trainees. All questionnaires were checked for thoroughness before the flight departing. The measure collected information from four general domains: demographic information, history of tobacco use, factors though to be associated with smoking onset/relapse, and other health risk factors. Because data sets collected on military personnel could be seized or subpoenaed, we did not want to collect data that could potentially endanger the participants’ careers. Thus, opinions regarding drug use (and other illegal behaviours) were assessed. Due to numerous quality control checks and the fact that the questionnaire was given as part of BMT, there were virtually no missing data. A six-week test/retest reliability assessment was performed on all items using a randomly selected subgroup of basic trainees (n = 7080). Considering the relatively long lag between assessments and the unusually stressful nature of this time period (basic military training), the questionnaire demonstrated surprisingly strong stability. The median test/retest Pearson correlation was 0.73.

For the purposes of this study, “never-smoker” refers to those airmen who reported never regularly smoking cigarettes (“I never smoked a cigarette before Basic Military Training” or “I smoked on one or two occasions, but never regularly (at least one per day) before Basic Military Training”). “Ex-smokers” refers to those airmen who reported smoking at least one cigarette each day before BMT, but who quit smoking before training (“I smoked regularly (at least one per day), but quit before Basic Military Training”). “Smokers” refers to trainees who smoked continually up to entry into the Air Force (“I smoked regularly (at least one per day) and smoked right up to the point I entered Basic Military Training”).

Because of the very large sample size and the impracticality of collecting biochemical data in basic training, self-reports of smoking were collected. Research on self-reports of smoking indicate that they are highly accurate for virtually all assessment and intervention studies.4 Further, the smoking status of all subjects was considered confidential information and the Air Force did not penalise smokers in any manner solely because of their smoking status.

APPROACH TO DATA ANALYSIS

In the analyses testing predictors of smoking status, two logistic regression models were constructed. The first model compared never-smokers with ex-smokers whereas the second contrasted never-smokers with smokers.5 The following approach was used to select predictors of smoking status. First, variables believed to be theoretically important determinants of smoking status were identified. These factors included social influences on smoking (percentage of friends who smoke, predicted percentage of Air Force personnel who smoke, rating of the social attractiveness of smoking), health behaviours and substance use (self-rated physical activity level, total alcohol use, frequency of binge drinking, smokeless tobacco use, attitudes toward illicit drug use, level of concern about body weight, frequency of dieting to lose weight), and measures of risk taking and rebelliousness (enjoyment of taking safety risks, frequency of seatbelt use, self-rated level of rebelliousness). Next, a careful examination of the univariate relationship between the dependent variable and potential independent variables was conducted. Also, the correlation matrix of potential predictors was explored to eliminate redundancy among predictors (suppressor variables).6Variables retained after these screening procedures were entered into a logistic regression model along with demographic factors. Finally, given the interest in gender as a moderating variable in substance abuse research and as a factor in military training, interactions between gender and significant predictors of smoking status were tested. Due to the large sample size of this data set and the corresponding high statistical power, a 99% confidence interval was used as the statistical significance criterion throughout the variable selection process.

Results

PREVALENCE OF SMOKING

Basic trainees who smoked regularly before BMT comprised 32.5% (n = 10 440) of the population. A small percentage of the basic trainees (7.6%; n = 2442) reported having quit smoking before BMT. A large percentage of basic trainees (46%) indicated having never smoked a cigarette whereas 22% said they had experimented with smoking but never smoked regularly (at least one per day). Smokers (those who smoked up to BMT; n = 7998) reported that they had smoked for an average of 4.13 years (SD = 2.88).

Table 2 presents tobacco use characteristics for smokers. Outcomes from the Fagerström Test for Nicotine Dependence7 indicated that smokers typically had low addiction scores. Most smokers in this population smoked one pack or less each day, and preferred either regular or light cigarette brands. Although most smokers were undecided as to whether they could remain abstinent following BMT, more agreed (35.9%) than disagreed (19.1%) that they could remain abstinent after training. Compared with male smokers, female smokers generally reported smoking fewer cigarettes per day, being less dependent, and being more likely to use light or ultralight cigarettes.

Table 2

Tobacco use characteristics for current smokers

RISK FACTORS FOR SMOKING

Never-smokers vs ex-smokers

A logistic regression model was developed which attempted to separate basic trainees who were never-smokers from those who had quit smoking before BMT. As can be seen in table 3, five of the six demographic factors distinguished never-smokers from ex-smokers. Ex-smokers tended to be older, Euro-American, married, and to have less education than basic trainees who had never regularly smoked. As the percentage of friends who smoked increased, participants were 89% more likely to be an ex-smoker than a never-smoker. Similarly, as the participants’ rating of the social attractiveness of smoking increased, they were 2.2 times more likely to be an ex-smoker than a never-smoker. Finally, increases in two measures of substance use—total alcohol use and smokeless tobacco use—were significantly related to increases in the likelihood of being an ex-smoker compared with a never-smoker. Gender did not significantly moderate the relationship between any of the predictors and smoking status.

Table 3

Logistic regression model comparing never-smokers to ex-smokers

Never-smokers vs current smokers

The final logistic regression model was developed to separate basic trainees who were never-smokers from those who were regular smokers up to BMT. As can be seen in table 4, older basic trainees, men, Euro-Americans, individuals with less education, those from higher income households, and those who were married were more likely to be smokers. As the percentage of friends who smoked increased, basic trainees were nearly 2.7 times more likely to smoke. In contrast, smokers predicted that the percentage of Air Force personnel who smoke was less than that predicted by never-smokers. The strongest predictor of smoking status was the participant’s rating of the social attractiveness of smoking. As ratings of the social attractiveness of smoking increased, participants were 3.6 times more likely to be smokers.

Table 4

Logistic regression model comparing never-smokers to smokers

Several substance use and health behaviour factors significantly predicted smoking status. Smokers reported drinking more alcohol and had more frequent binge-drinking episodes than never-smokers. Smokers also characterised themselves as less physically active, engaging in less dieting, and having weight concerns less frequently than never-smokers. However, three of these factors interacted with gender in the relationship to smoking status. Follow-up analyses indicated that physical activity level was more strongly related to smoking status for men (odds ratio (OR) = 0.77; 99% confidence interval (CI) = 0.74 to 0.80) than for women (OR = 0.90; 99% CI = 0.84 to 0.95). In contrast, frequency of binge drinking was more strongly related to smoking status for women (OR = 2.67; 99% CI = 2.43 to 2.98) than for men (OR = 2.07; 99% CI = 1.98 to 2.16). Finally, although frequency of weight concerns lowered the likelihood of smoking in men (OR = 0.80; 99% CI = 0.76 to 0.85), it was associated with a higher likelihood of smoking in women (OR = 1.14; 99% CI = 1.06 to 1.22).

Discussion

The results of this study suggest that smoking is a prevalent health risk behaviour among USAF enlistees. Overall, 32.5% of basic trainees smoked regularly before BMT and a small percentage (7.6%) of basic trainees described themselves as ex-smokers. Further, this study found that among basic trainees, individuals from minority ethnic backgrounds were far less likely to smoke than Euro-Americans. The latter finding is consistent with recent surveys that suggest that young minorities have a lower prevalence of smoking than non-minorities. However, this is confusing in that the national rates of smoking are higher in some minority groups, especially among African-American and Hispanic-American men.8 This raises the possibility of late-onset smoking, which has been documented in some ethnic groups such as African-Americans. Future studies should examine whether minorities are at risk for late-onset smoking and, if so, should determine factors leading to late smoking initiation.

Consistent with surveys of civilian populations, male gender and a lower educational background increased the likelihood of smoking.9-12 However, the finding that smokers tended to be from households with higher incomes than never-smokers is inconsistent with previous research.13 It is possible that young adults from higher income families who nonetheless decide to join the enlisted ranks of the military represent a unique group in terms of health and safety habits. The relationship between household income and the likelihood of smoking deserves attention in future research with military populations.

The strongest predictors of smoking status among USAF basic trainees were social. Specifically, having more friends who smoke and viewing smoking as more socially attractive significantly increased one’s risk of smoking. These findings are consistent with studies demonstrating the potent impact of social factors on smoking onset and maintenance among young adults.14-16 Given that USAF basic trainees form new friendships upon entering the military and that smoking is increasingly viewed negatively by the armed services, BMT provides a unique setting to address social influences on smoking.

This study adds to a growing literature that suggests that smokers often engage in a cluster of unhealthy behaviours. Specifically, basic trainees who had smoked before basic training were more likely to use other drugs—for example, alcohol, binge drinking, smokeless tobacco—and were less physically active. These finding were particularly strong for those who smoked up to basic training but were also evident for ex-smokers. Given that the military has identified substance abuse and lack of physical activity as barriers to military readiness, this study suggests that smokers may be less fit for military duty.17-19 Future studies examining the relationship between smoking and actual military performance and discharge rates are needed.

The nature of the USAF BMT population may limit the generalisability of the findings. Specifically, this population consisted entirely of young adults who had volunteered for military service and was well represented with ethnic minorities. Population-based research examining smoking prevalence and risks for smoking in similar cohorts (such as other military services) is needed to validate the results of this study.

Acknowledgments

This study was supported by a National Institutes of Health grant (HL-53478). The views expressed in this article are the authors and do not necessarily reflect the official position of USAF Basic Training, the Department of Defense, or the United States Government.

References

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