- Research article
- Open Access
- Open Peer Review
Association between high school students’ cigarette smoking, asthma and related beliefs: a population-based study
BMC Public Healthvolume 16, Article number: 913 (2016)
Smoking has a detrimental effect on the symptoms and severity of asthma, a common chronic disease among adolescents. The purpose of this study was to examine the association between asthma and smoking among high school students and assess provider-patient communication with asthmatic adolescents regarding smoking and adolescents’ beliefs about the harms of smoking.
In fall 2014, data from high school students, ages 14–18 years, completing the 2009-2010 Virginia Youth Tobacco Survey (N = 1796) were used in descriptive analyses and multivariable logistic regression models adjusting for model-specific confounders as appropriate.
Overall, an estimated 19 % of high school students in Virginia smoked and 16 % had asthma. Odds of smoking did not differ by asthma status; however, asthmatics had 1.5 times higher odds of being asked if they smoke (95 % CI 1.06–2.13) and being advised not to smoke by a health professional (95 % CI 1.10–2.14) compared to non-asthmatics. Asthmatics who believed second-hand smoke or smoking 1–5 cigarettes/day was not harmful had respectively 4.2 and 2.8 times higher odds of smoking than those who thought each was harmful. Further, asthmatics who thought smoking 1−2 years is safe had 3.4 times higher odds of smoking than those who did not (95 % CI 1.57–10.1).
While asthmatic adolescents are just as likely to smoke as non-asthmatics, less healthy beliefs about the risks of smoking increase the odds of smoking among asthmatics. Thus, targeted asthma-specific smoking prevention and education to change attitudes and beliefs could be an effective tool for adolescents.
Asthma is one of the most common chronic diseases among children and youth in the United States . Approximately 14 % of children aged 17 and under have ever been diagnosed with asthma  Among high school students, primarily ages 14–18 years, about 11 % currently have asthma . Asthma affects everyday activities, such as playing, exercise, school attendance, and sleeping, as well as emotional health; [1, 4] however, asthma is possible to manage and control with medication and behavior modification .
All asthma management guidelines state that patients should be strongly advised not to smoke . Adolescents with asthma are expected to avoid smoking because it might initiate or aggravate asthmatic symptoms . Further, asthmatics who smoke have more asthma attacks, worse pulmonary function and higher rates of hospitalization . In addition, smoking may reduce the effectiveness of daily control medicine . Overall, about 20 % of U.S. high school students  and Virginia high school students  smoke, which compromises their current and future health. While one study found that asthma in childhood reduces smoking initiation in male adolescents , the majority of previous studies assessing smoking among asthmatic adolescents show that they are more likely to smoke than non-asthmatic adolescents [11–15]. In addition, a cohort study of adolescents examined smoking and asthma and found a bidirectional relationship . Some studies have found that while the demographic and behavioral predictors of smoking could be the same for adolescents with and without asthma , some differences in motivation exist [16, 17]. Other research suggests that asthmatic adolescents may make a more active decision to start smoking than adolescents without asthma .
Little is known about how provider communication might impact adolescents’ smoking or what influences smoking behavior among asthmatics. Thus, to better inform intervention development and identify areas for education, the objectives of this study are to: (1) describe the prevalence of those with and without diagnosed asthma among Virginia high school students and the sub-group who smoked in the past 30 days, (2) examine the association between the prevalence of asthma and smoking, (3) evaluate provider-patient communication regarding smoking and examine adolescents’ beliefs about the harms of smoking by asthma status, and (4) examine the association between smoking and provider-patient communication regarding smoking and adolescents’ beliefs about the harms of smoking.
A two-stage cluster sample design was used to produce a representative sample of Virginia high school students (grades 9–12; majority are ages 14–18 years) for the Virginia Youth Tobacco Survey (Virginia YTS) . Stage one of the sampling included all Virginia public schools containing grades 9, 10, 11, or 12. Schools were selected with probability proportional to school enrollment size. Stage two consisted of systematic equal probability sampling (with a random start) of classes from each participating school. All second period classes in the selected schools were included in the sampling frame. All students in these selected classes were eligible to participate in the survey.
Seventy-two percent of randomly selected high schools agreed to participate (36 of 50) and the student response rate (completed questionnaires divided by total number of students) for students in the selected class periods in participating high schools was 81.9 % (N = 1827 of 2232) . The overall response rate was 58.9 % . This study includes respondents ages ≥14 years who answered the primary questions of interest (N = 1796; n = 16 students <14 years were excluded). This study was approved by the Virginia Commonwealth University Institutional Review Board.
The Virginia YTS is a self-administered, written questionnaire based on the validated Youth Tobacco Survey and Youth Risk Behavior Survey designed by the Centers for Disease Control and Prevention (CDC) [3, 9]. The survey, distributed in classrooms during the 2009 – 2010 academic year, included questions about tobacco use, tobacco-related psychosocial constructs, asthma, health care, and demographics.
Students were asked “During the past 30 days, on how many days did you smoke cigarettes?” Responses were combined to create a dichotomous variable indicating whether or not the student had smoked in the past 30 days. Students were also asked whether “a doctor or nurse ever told [them] that [they] have asthma?” Responses were coded to reflect three categories-Yes, and still have it now; Yes, but don’t have it anymore; and No.
Several questions measured smoking-related variables. Students provided information on whether “During the past 12 months, did any doctor, dentist, nurse, or other health professional ask you if you smoke?” and “During the past 12 months, did any doctor, dentist, nurse, or other health professional advise you not to smoke?” (“yes”, “no”, and “don’t know/not sure” were dichotomized as “yes” or “no”, which included “don’t know/not sure”). Students also answered knowledge/belief questions relating to the harms of smoking, with response options of “definitely yes”, “probably yes”, “probably not”, and “definitely not”, which were recoded as binary variables to reflect “yes” or “no” responses (i.e., “Do you think young people risk harming themselves if they smoke from 1 to 5 cigarettes per day?” “Do you think it is safe to smoke for only a year or two, as long as you quit after that?” and “Do you think the smoke from other people’s cigarettes is harmful to you?”) Students also provided information on gender and age as well as race (i.e., White, Black, and Other), whether they lived with a smoker, the disposable funds they had to spend in any way in the last 4 weeks (coded as none, $1–$10, $11–$20, $21–$50, and > $50), how many of their four closest friends smoke (coded as ≥1 or none), and rules about smoking in the home or car (coded as always/sometimes allowed or never allowed).
SAS 9.4 PROC SURVEYFREQ, PROC SURVEYREG, and PROC SURVEYLOGISTIC were used for data analysis with appropriate weights and strata given the sampling scheme of the Virginia YTS. Descriptive statistics were calculated for demographics of the overall sample and among those who smoked in the last 30 days and to determine the prevalence of asthma and smoking. Differences in smoking-related communication with health professionals and beliefs about the harms of smoking by asthma status were assessed. Logistic regression was used to assess both the association between asthma and smoking (dependent variable) among all students and the relationship between health professional communication about smoking and individual beliefs about the harms of smoking and smoking behavior (dependent variable) among asthmatics. We determined whether there was evidence of effect modification for age, race, or gender for all models. Possible confounders (i.e., student’s gender, age, race, whether they lived with a smoker, amount of disposable funds available to spend in any way in the last 4 weeks, friends’ smoking, rules about smoking in the home, and rules about smoking in the car) were assessed for the regression models using the 10 % change-in-estimate rule as conceptually appropriate . The final multivariable logistic regression models provide odds ratios (OR) and confidence intervals (CI) adjusted for model-specific confounders.
Table 1 provides the estimated demographic characteristics of Virginia high school students, ages ≥14 years. About half were female students and 36.4 % indicated that they live with someone who smokes. Approximately half (55.5 %) were white students and 26.8 % were Black students. Overall, 18.1 % of female and 20.5 % of male students had smoked one or more cigarettes in the past 30 days at the time of the survey. In addition, 16.2 % of the overall sample reported currently having asthma whereas 17.9 % of youth who smoked in the past 30 days reported currently having asthma.
No evidence of effect modification was found for age, race, or gender. Taking into account asthma status, students who lived with a smoker had 2.57 times higher odds of smoking (95 % CI 1.90–3.48) compared to those not living with a smoker (data not shown in Tables). The odds of smoking among students with current asthma or a previous diagnosis were not significantly different than those who were never diagnosed with asthma after adjusting for the confounder of living with a smoker.
In the past 12 months, a greater percentage of students with current asthma were asked by a health professional about whether they smoked (43.6 %, p-value = 0.049) and advised to not smoke (35.4 %, p-value = 0.087) compared to those without asthma (Table 2; unadjusted analyses as no evidence of confounding). In fact, after adjustment for model-specific confounders, students with asthma had 1.5 times higher odds of being asked by a health professional whether they smoked (95 % CI 1.06–2.13) and 1.5 times higher odds of being advised to not smoke (95 % CI 1.10–2.14) compared to those who had never had asthma (data not shown in Tables.) Students’ beliefs about the harms of smoking did not significantly vary by asthma status.
Table 3 provides estimates of the association between smoking status and health provider communication and students’ beliefs about smoking for asthmatic students (adjusted for model-specific confounders detailed in Table footnotes). Among students with asthma, smoking status was associated with health professionals asking students about their smoking. Specifically, asthmatics who were asked if they smoked had 2.46 higher odds of smoking than those who were not asked if they smoked (95 % CI: 1.04–5.81). Asthmatic students who thought it was safe to smoke for only 1–2 years had 3.97 times higher odds of smoking than those who did not believe it was safe (95 % CI 1.57–10.06).
This study assessed the association between asthma and smoking status as well as high school students’ reported communication about smoking risks with their clinicians, and the association between clinician advice and students’ beliefs about smoking harms and cigarette smoking among asthmatic high school students in Virginia. While several studies have shown that adolescents with asthma are more likely to smoke than those without asthma [11–15], we found asthmatic students were just as likely to smoke as their non-asthmatic peers. The odds of provider communication about smoking and the potential harms of smoking were higher for asthmatic high school students compared to non-asthmatic students. Less healthy beliefs about the actual risks of smoking increase the odds of smoking among asthmatics.
Smoking prevalence and beliefs about harms of smoking
Despite asthma management guidelines and negative effects of smoking on asthma symptoms, self-reported asthmatic high school students in Virginia are just as likely to smoke as those without asthma. This finding is divergent from the majority of studies that have reported asthmatic adolescents are more apt to smoke than non-asthmatic adolescents [11–15]. However, one previous study found asthma in childhood reduces smoking initiation in male adolescents . Further, a longitudinal cohort study of Dutch adolescents examined smoking and asthma and found a bidirectional relationship. Specifically, at 1-year follow-up, those with self-reported asthma were 1.91 times more likely to begin smoking than those without asthma and those who smoked were 2.86 times more likely to develop symptoms of asthma over the course of the study . These results suggest that adolescents with asthma are more willing to smoke regardless of the unpleasant experiences associated with smoking initiation and the consequences that smoking can induce. Also, differences in motivation exist by asthma status [16, 17]. For example, adolescents with asthma are 1.67 times more likely to report smoking initiation due to peer pressure and a greater proportion of asthmatics use smoking as a means of weight control compared to adolescents without asthma (18.8 % vs 13.1 %) . Evidence also exists that asthmatic adolescents may make a more active decision to start smoking than adolescents without asthma .
The vast majority of respondents (~9 out of 10) demonstrated accurate knowledge of the harms of tobacco smoke and smoking. This is a positive result and shows wide and accurate awareness of the harms of cigarettes among high school students, which could be the result of concerted efforts to prevent and reduce tobacco use among youth. For example, direct health promotion activities are underway in Virginia and multiple marketing campaigns reached 648,500 in 2009 with approximately 694,000 – 731,000 youth reached annually 2004 to 2008 . However, among asthmatic students, less healthy responses to questions about the knowledge and beliefs about the harms of smoking (i.e., second-hand smoke is not harmful, smoking 1–5 cigarettes a day is not harmful, smoking only a year or 2 years is safe) were positively associated with increased odds of smoking in the past 30 days; however, the only belief that had a statistically significant association was thinking that smoking for 1–2 years is safe. This finding likely reflects the belief among youth that it is not hard to quit smoking. While a general message that smoking is harmful can be received by all high school students, particular knowledge that smoking even for a relatively short period of time (only 1 or 2 years) is not safe and perhaps information about the reality of early nicotine dependence could discourage smoking initiation or occasional smoking, which could lead to regular smoking. This supports previous findings that low risk perception is a predictor of smoking among adolescents .
Overall, to realize the largest public health impact, targeted prevention efforts that make the short- and long-term consequences of smoking concrete and highlight how to combat peer pressure are needed to address smoking among adolescents with and without asthma. Engaging, age-appropriate materials and messages delivered through public schools, recreation centers, and faith-based institutions can effectively impact attitudes and ultimately lead to behavior change. For example, since the inception of statewide programming and partnering with the Virginia Department of Education on health promotion activities, the prevalence of smoking among Virginia high school students dropped from 28.6 % in 2001 to 8.2 % in 2015 . Previous research also suggests that gender should also be considered when developing prevention and cessation interventions for asthmatic adolescents .
Health professional communication
To date, no studies have assessed patient-provider communication about smoking with asthmatic adolescents. In this study, high school students with asthma had more communication with health professionals regarding smoking than those without asthma. While this is a positive result, in total, less than half of all students with asthma were asked if they smoke. Using the same smoking measure, 2011 National Youth Tobacco Survey data suggest that among students ages 15 years and older, the proportion of health care providers asking about smoking ranged from 35.3 to 69.9 depending on the student’s smoking history . Therefore, it appears that providers could continue to improve. Among asthmatic students, communication with a health professional regarding smoking had an inconsistent effect, as health professionals asking about smoking was significantly associated with increased odds of smoking, while advice about not smoking was not associated with smoking. The positive association between providers asking about smoking and behavior could be due to the fact that doctors are more apt to ask about smoking if they know the patient has a history of smoking and/or that smokers could be more likely to remember being asked. Previous research among adolescents from Tennessee found screening and advice about smoking from a healthcare provider had a positive impact on knowledge and quit attempts among smokers , which conflicts with the findings of this study. Given the high risk of smoking initiation during adolescence, smoking should continue to be addressed consistently by doctors and other providers treating adolescents with asthma. While laws exist to promote confidential discussions between medical providers and adolescent patients, one study found 64 % of adolescents seen in medical practice had documented alone time with a clinician  whereas another study reported almost 48 % of adolescents ages 15–17 years who had a preventive health visit did not have time alone with a clinician . Further, about one-third of parents disagree that providers should see an adolescent patient alone . Thus, if adolescents less than 18 years of age receive medical care with a parent present, discussing risky behaviors such as smoking may be sensitive and difficult to broach.
Then again, one of the most important aspects of asthma management is self-care, such as avoiding asthma triggers and complying with control medication. High school students are able to understand and remember self-care plans and they have enough independence to make decisions to avoid smoking. This study suggests that there are missed opportunities for health care professionals to communicate to adolescent patients with asthma the importance of being tobacco free and how it is essential in preventing acute episodes. In addition, some studies of smoking among asthmatic adolescents have found that poor medication adherence is associated with smoking . Taken together, these findings could indicate that a complete asthma management plan provided by a health professional would help address smoking as well as other aspects of self-care. Further studies could examine the relationship between patient-provider communication and asthma episode severity among adolescents as well as confidence to avoid irritants such as tobacco smoke, and self-efficacy in asthma management among adolescents.
These study findings should be considered in light of a few limitations. First, a self-report questionnaire, administered in school classrooms, was used for this study so misclassification could exist. Students could have inaccurately reported their asthma status or diagnosis; however, this is unlikely given asthmatic students generally take medications and see a primary care provider at least once a year once they are diagnosed . In addition, there could be a tendency toward socially desirable answers about smoking behavior by students. However, self-reported smoking by adolescents is similar to the prevalence given cotinine testing and is considered valid for population-level estimates [28–31]. Also, if present, under-reporting of smoking could mean there is an even greater public health impact than estimated in the current study. Importantly, the prevalence of current asthma and smoking in the last 30 days were assessed using the identical questions to that in the CDC’s Youth Tobacco Survey and Youth Risk Behavioral Surveillance (YRBS) survey, which reportedly have high reliability  and facilitate comparison to national data . Smoking, defined as having ≥1 cigarette in the past 30 days, was purposely coded to align with the U.S. Healthy People 2020 tobacco-related Leading Health Indicator goal to reduce the prevalence of adolescents smoking in the last 30 days . Second, because the high school students in the sample are from only one state in the U.S., findings may not be generalizable to all U.S. high school students. However, current cigarette smoking prevalence in this study was comparable to the identical contemporaneous measure from the national 2009 YRBS survey (19.2 %) . The prevalence of current asthma in our sample was higher than national averages from the 2005–2010 National Health and Nutrition Examination Survey (12.9 %) , however, Virginia is well-known for its asthma burden within the U.S. . Smoking prevalence among asthmatics in this study (17.9 %) was much lower than the prevalence of current smoking among asthmatic adolescents in the nationally representative longitudinal (48 %) . Participating schools were in urban, suburban, and rural communities and schools that declined to participate were not more likely to be inner city schools or schools with higher proportion of historically disadvantaged students (M. White, Virginia Foundation for Healthy Youth, personal communication, 2014). Additionally, school-based studies exclude drop-outs and these youth tend to engage in more risky health-related behaviors. Third, the study data are cross-sectional; thus, temporality regarding asthma diagnosis and smoking as well as doctors asking about or advising against smoking is not exactly known. Lastly, because this study involves secondary data analyses, potential confounders (e.g., socio-economic status, school-level health promotion activities, etc.) and associations of interest were limited by a function of the initial design and data collection.
While most high school students understand the harms of even occasional smoking, many of them still smoke, including students with asthma. In this cross-sectional study, among students with asthma, advice from health professionals does not appear to make a significant difference in the decision to smoke; however, importantly, personal beliefs and knowledge about the harms of smoking for only 1–2 years significantly increased the odds of smoking. Overall, this highlights the importance of school-based educational interventions among children and adolescents in the effort to prevent youth smoking. Both asthma and smoking remain a major health issue for adolescents in Virginia and in the U.S., and many young people are affected by both. In general, formal prevention education about the harms of smoking takes place mostly in the school , while patient education about asthma management takes place primarily in a clinical setting. Health education that currently focuses on either prevention or treatment/management should find an intersection, so that issues that affect the same population can be addressed. Helpful in this topic could be studies addressing provider-patient communication about smoking among adolescents with asthma and broader public health educational interventions targeting teens with asthma.
Centers for Disease Control and Prevention
National Center for Chronic Disease Prevention and Health Promotion. Healthy Youth! Asthma. Centers for Disease Control and Prevention. http://www.cdc.gov/healthyschools/asthma/index.htm. Accessed 6 Apr 2016. Updated June 17, 2015
Bloom B, Cohen RA, Freeman G. Summary health statistics for U.S. children: National Health Interview Survey, 2009. National Center for Health Statistics. Vital Health Stat. 2010;(10):247. http://www.cdc.gov/nchs/data/series/sr_10/sr10_247.pdf. Accessed 6 Apr 2016. Published December 2010.
Eaton DK, Kann L, Kinchen S, Shanklin S, Ross J, Hawkins J, et al. Youth Risk Behavior Surveillance - United States 2009. MMWR Surveill Summ. 2010;59(5):1–142.
McQuaid EL, Kopel SJ, Nassau JH. Behavioral adjustment in children with asthma: A meta-analysis. J Dev Behav Pediatr. 2001;22(6):430–9.
National Asthma Education and Prevention Program Expert Panel Report 3. Guidelines for the Diagnosis and Management of Asthma-Summary Report 2007. National Heart, Lung, and Blood Institue. U.S. Department of Health and Human Services. National Institutes of Health. http://www.nhlbi.nih.gov/guidelines/asthma/asthsumm.pdf. Accessed 6 Apr 2016. Published October 2007
Yoo S, Kim HB, Lee SY, Kim BS, Kim JH, Yu J, et al. Effect of active smoking on asthma symptoms, pulmonary function, and BHR in adolescents. Pediatr Pulmonol. 2009;44(10):954–61.
Eisner MD, Iribarren C. The influence of cigarette smoking on adult asthma outcomes. Nicotine Tob Res. 2007;9(1):53–6.
Livingston E, Thomson NC, Chalmers GW. Impact of smoking on asthma therapy: A critical review of clinical evidence. Drugs. 2005;65(11):1521–36.
Virginia Foundation for Healthy Youth. Tobacco Use Among Virginia’s Middle and High School Students. Results of the 2009 Youth Tobacco Survey: Including comparisons to the 2001, 2003, 2005, and 2007 survey results. Survey and Evaluation Research Laboratory, Virginia Commonwealth University. http://www.vfhy.org/sites/default/files/pdf/YTS09_report_final_0.pdf. Accessed 6 Apr 2016. Published 2010
Verlato G, Bortolami O, Accordini S, Olivieri M, Cappa V, Bugiani M, et al. Asthma in childhood reduces smoking initiation in subsequent teens among males. J Adolesc Health. 2011;48(3):253–8.
Zbikowski SM, Klesges RC, Robinson LA, Alfano CM. Risk factors for smoking among adolescents with asthma. J Adolesc Health. 2002;30(4):279–87.
Precht DH, Keiding L, Madsen M. Smoking patterns among adolescents with asthma attending upper secondary schools: A community-based study. Pediatrics. 2003;111(5 Pt 1):e562–8.
Hublet A, De Bacquer D, Boyce W, Godeau E, Schmid H, Vereecken C, et al. Smoking in young people with asthma. J Public Health. 2007;29(4):343–9.
Jones SE, Merkle S, Wheeler L, Mannino DM, Crossett L. Tobacco and other drug use among high school students with asthma. J Adolesc Health. 2006;39(2):291–4.
Van de Ven MO, Engels RC, Kerstjens HA, Van den Eijnden RJ. Bidirectionality in the relationship between asthma and smoking in adolescents: A population-based cohort study. J Adolesc Health. 2007;41(5):444–54.
Precht DH, Keiding L, Nielsen GA, Madsen M. Smoking among upper secondary pupils with asthma: Reasons for their smoking behavior: A population-based study. J Adolesc Health. 2006;39(1):141–3.
Van De Ven MO, Engels RC, Otten R, Van Den Eijnden RJ. A longitudinal test of the theory of planned behavior predicting smoking onset among asthmatic and non-asthmatic adolescents. J Behav Med. 2007;30(5):435–45.
Greenland S, Rothman KJ. Introduction to stratified analysis. In: Rothman KJ, Greenland S, Lash TL, editors. Modern Epidemiology. Philadelphia: Lippincott Williams and Wilkins; 2008. p. 261–2.
Virginia Foundation for Healthy Youth. Statistics Dashboard. http://vfhy.org/statistics. Accessed 11 July 2016. Published 2015
Van De Ven MO, Van Den Eijnden RJ, Engels RC. Smoking-specific cognitions and smoking behavior among adolescents with asthma. Psychol Health. 2006;21(6):699–716.
Guo SE, Ratner PA, Johnson JL, Okoli CT, Hassain S. Correlates of smoking among adolescents with asthma. J Clin Nurs. 2010;19(5-6):701–11.
Schauer GL, Agaku IT, King BA, Malarcher AM. Health care provider advice for adolescent tobacco use: results from the 2011 National Youth Tobacco Survey. Pediatrics. 2014;134(3):446–55.
Hum AM, Robinson LA, Jackson AA, Ali KS. Physician communication regarding smoking and adolescent tobacco use. Pediatrics. 2011;127(6):e1368–74.
Duncan RE, Vandeleur M, Derks A, Sawyer S. Confidentiality with adolescents in the medical setting: what do parents think? J Adolesc Health. 2011;49(4):428–30.
Edman JC, Adams SH, Park MJ, Irwin Jr CE. Who gets confidential care? Disparities in a national sample of adolescents. J Adolesc Health. 2010;46(4):393–5.
Hutchinson JW, Stafford EM. Changing parental opinions about teen privacy through education. Pediatrics. 2005;116(4):966–71.
Chua K, Schuster MA, McWilliams JM. Differences in health care access and utilization between adolescents and young adults with asthma. Pediatrics. 2013;131(5):892–901.
Dolcini MM, Adler NE, Lee P, Bauman KE. An assessment of the validity of adolescent self-reported smoking using three biological indicators. Nicotine Tob Res. 2003;5(4):473–83.
Patrick DL, Cheadle A, Thompson DC, Diehr P, Koepsell T, Kinne S. The validity of self-reported smoking: a review and meta-analysis. Am J of Public Health. 1994;84(7):1086–93.
Brener ND, Billy JO, Grady WR. Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature. J Adolesc Health. 2003;33(6):436–57.
Brener ND, Kann L, McManus T, Kinchen SA, Sundberg EC, Ross JG. Reliability of the 1999 Youth Risk Behavior Survey questionnaire. J Adolesc Health. 2002;31(4):336–42.
Healthy People 2020. 2020 Topics and Objectives. Tobacco Use-Objectives. 2010. https://www.healthypeople.gov/2020/topics-objectives/topic/tobacco-use/objectives. Accessed 5 July 2016. Published December 2
Kit BK, Simon AE, Bordy DJ, Akinbami LJ. US prevalence and trends in tobacco smoke exposure among children and adolescents with asthma. Pediatrics. 2013;131:407–14.
Asthma Allergy Foundation of America. Asthma Capitals. http://www.aafa.org/page/asthma-capitals.aspx. Accessed 6 Mar 2012. Published February 2011
Tercyak KP. Psychosocial risk factors for tobacco use among adolescents with asthma. J Pediatr Psychol. 2003;28(7):495–504.
U.S. Department of Health and Human Services. Centers for Disease Control and Prevention. Results from the School Health Policies and Practices Study 2012. Centers for Disease Control and Prevention. http://www.cdc.gov/healthyyouth/shpps/2012/pdf/shpps-results_2012.pdf. Accessed 6 Apr 2016. Published 2013
Study data are from the Virginia Youth Tobacco Survey, which is sponsored by the Virginia Foundation for Healthy Youth. The Survey and Evaluation Research Laboratory at Virginia Commonwealth University, with guidance from the Centers for Disease Control and Prevention (CDC), oversaw survey administration. The Youth Tobacco Survey was designed by the CDC as part of its Youth Tobacco Surveillance and Evaluation System.
Availability of data and materials
The data will not be shared as the authors obtained permission for a select dataset of Virginia Youth Tobacco Survey variables from the Virginia Foundation for Healthy Youth. Interested parties may request data from the Virginia Foundation for Healthy Youth.
RMJ was responsible for the concept, design, and interpretation of data. She directed the data analyses, drafted sections of the manuscript, and was responsible for all edits. KPW participated in discussions about analytic model development, performed analyses, and assisted with interpretation of the data. MK drafted sections of the manuscript, and performed analyses. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
Institutional Review Board approval was obtained for this study, which included de-identified, cross-sectional data.