Abstract
Objective
This study investigated to what extent the prospective relationship between parental smoking cessation and child daily smoking is mediated by child cognitions about smoking.
Design
The study drew its sample from the 40 Washington State School districts involved in the Hutchinson Smoking Prevention Project. The predictor variable of parental smoking cessation was measured during third grade. The mediator measures, consistent with the Theory of Planned Behavior and Social Cognitive Theory, were measured during ninth grade and the smoking status outcome was measured during twelfth grade.
Main Outcome Measures
Smoking status at twelfth grade.
Results
Negative general attitudes toward smoking, attitude that cigarette smoke is bothersome, and tobacco refusal self-efficacy together significantly mediated 49% of the prospective relationship between parental smoking cessation and child daily smoking.
Conclusion
Parental smoking cessation before children reach third grade may lead children to develop more negative cognitions about smoking which, in turn, reduce their risk of smoking.
Keywords: smoking, mediation, cognitions, children, parents
Introduction
Within the past decade, research has identified an important factor that may contribute to the prevention of child daily smoking: parental smoking cessation (Bricker et al., 2003; Chassin, Presson, Rose, Sherman, & Prost, 2002; Farkas, Distefan, Choi, Gilpin, & Pierce, 1999; Jackson & Henriksen, 1997). For example, in a nine-year longitudinal study of 3,012 families, Bricker et al. (2003) found that, compared to parents who smoked, parents who quit smoking by the time their children were in third grade had children who were less likely to be daily smokers in the twelfth grade. Indeed, an overall summary of these results was that parents who quit smoking may reduce the risk their children will smoke by 30%. In order to understand the theoretical underpinnings of these results and develop more effective child smoking prevention programs, Chassin, Presson, & Sherman (2003) suggested that the “most important direction for future research is to identify mechanisms underlying parental smoking cessation effects.” To directly address this need, the purpose of this study is to examine several child cognitions about smoking that serve as mechanisms underlying the Bricker et al. finding of a prospective relationship between parent smoking cessation and their children’s smoking.
There is a substantial body of empirical literature suggesting that children’s negative attitudes toward smoking prospectively predict lower odds of smoking (Flay, Petraitis, Hu, 1999). We posit the mediational hypothesis that parents who quit smoking influence children’s negative attitudes towards smoking and that these negative attitudes will in turn, reduce the risk of children’s smoking. One way that parents who quit smoking may influence children’s attitudes toward smoking is by modeling non-smoking behavior (e.g., avoiding places where people smoke). Specifically, we speculate that parents who quit are especially motivated to engage in non-smoking behaviors both as away to avoid relapsing and as a way to protect their children from the harm that smoking has caused in their own lives.
Only one study has examined to what extent the relationship between parental smoking cessation and child smoking is mediated by child attitudes. Specifically, Chassin Presson Rose Sherman & Prost (2002) found that a child’s perception of their parents’ intolerance of smoking partially mediated the relationship between parental cessation and child smoking. However, the study found no statistically significant evidence of a mediating role of children’s attitudes towards smoking. Additionally, this study was limited by its cross-sectional design, modest sample size (N = 446), and young average age of the study sample (M = 12.8 years).
To our knowledge, only one other study has examined the potential underlying mechanisms of the relationship between parental smoking cessation and child smoking. Bricker, Leroux, Andersen, Rajan, & Peterson (2005) investigated the mediational role of several parent anti-smoking actions. For example, they found that parents’ tendencies to sit in non-smoking sections of public establishments (reported when the child was in eleventh grade) was a significant mediator of the relationship between parental cessation (reported when the child was in third grade) and child daily smoking (reported when the child was in twelfth grade). While valuable, the study did not examine any potential child mediators of parental cessation.
To examine the potentially important role of child attitudes, and build on the paucity of evidence to date, this paper examines the prospective mediational role of a specific kind of attitude, namely, child cognitions about smoking, on the relationship between parental smoking cessation and child daily smoking. We draw from several major health psychology theories to focus on child cognitions reflecting thoughts, beliefs, and attitudes children have toward smoking and the smoking behavior of others. Specifically, we posit that parental smoking cessation may influence a child to develop cognitions about smoking consistent with the Theory of Planned Behavior (TPB; Ajzen, 1991) and Social Cognitive Theory (SCT; Bandura, 1986). Specifically, the mediators consistent with TBP were: general attitudes toward smoking, intentions to smoke, and normative beliefs about smoking. Each of these mediators represents more general cognitions about the child’s own daily smoking and the smoking behavior of others. Consistent with SCT, the cognitive mediators were: tobacco refusal self-efficacy and negative expectations about smoking. Each of these mediators presents a more specific cognition about smoking behavior. By implementing measures that reflect both TBP and SCT, we were able to investigate a more comprehensive mediational model that examines both general and specific cognitions about smoking. Examining these child cognitions about smoking is aimed at deepening our understanding of the relationship between parental smoking cessation and child daily smoking.
To test these mediational hypotheses, the current paper presents the first prospective study examining the extent to which child cognitions about smoking consistent with the TPB (Ajzen, 1991) and SCT (Bandura, 1986) mediate the relationship between parental smoking cessation and child daily smoking. Identifying these mediators will help show why parental smoking cessation is prospectively associated with lower levels of child smoking (Bricker et al., 2003; Chassin et al., 2002; Farkas et al., 1999; Jackson & Henriksen, 1997). This evidence may lead to the development of intervention programs designed to specifically target child cognitions about smoking and thereby reduce the risk of child smoking.
Methods
Participants
Study participants were drawn from the students in the 40 Washington State school districts of the Hutchinson Smoking Prevention Project (HSPP)—a landmark 15-year randomized trial of school-based tobacco prevention in which 20 participating school districts were randomized to the intervention group and 20 districts were randomized to the control group (Peterson, Kealey, Mann, Marek, & Sarason, 2000). Participants were eligible for this study if (1) one or more of their parents were either a current smoker, or if one or more parents quit smoking (with no parents currently smoking) by the time the child was in third grade (4,074 participants) and (2) if these children were eligible to receive the mediator measures (2,656 participants). [Note that to reduce child participant response burden, only certain versions of surveys were designed to include measures for particular scientific questions (e.g., mediator measures)]. Eighty-six percent (2,293/2,656) of those children offered the opportunity to complete the ninth grade survey actually completed the child smoking mediator measures. Of those child participants, ninety-seven percent (2,230/2,293) self-reported their smoking status during the twelfth grade survey. Thus, the total sample size for this study was 2,230 participants. Of the 2,230 participants, 91% were Caucasian and 48% were female. The races and ethnicities of the study population were representative of students in the 40 school districts.
Procedures
Parental smoking status was obtained via a mailed or telephone survey when the child was in the third grade. Mediators were measured while the child was in ninth grade and the child smoking outcome was measured when the child was in the twelfth grade. All child measures were obtained via in-class, mailed-home, or telephone survey. To maximize retention, a comprehensive tracking system and follow-up procedure was applied to all members of the HSPP cohort. Standard tracking strategies and methods were applied meticulously (Call, Otto, & Spenner, 1982; Peterson, Kealey et al., 2000; Peterson, Mann, Kealey, & Marek, 2000; Pirie et al., 1989).
Measures
Parental smoking status when child was in the third grade
Parents were asked the question “Do you use cigarettes?” Those who responded with either “Yes, often” or “Yes, occasionally” were classified as current smokers while those who responded with “No, not anymore” were classified as those who quit smoking. The response option “No, Never” was also available. However, because this study focuses on the mediational role of child cognitions about smoking on parental smoking cessation, parents who were never smokers are not included in the study population. For each family who completed the survey, one parent self-reported his or her own smoking status and then gave a proxy report of the other parent’s smoking status. In our prior research (Bricker et al., 2003; Bricker et al., 2005), we found that the third grade measure of parent smoking status is reliable and that parental smoking status remains stable from third to eleventh grade. Additionally, previous investigations have demonstrated high concordance (86%–98%) rates between a parent’s self-report and their biochemically reported smoking status (Attebring, Herlitz, Berndt, Karlsson, & Hjalmarson, 2001; Murray, Connett, Lauger, & Voelker, 1993; Shaffer, Eber, Hall, & Vander Bilt, 2000). Proxy reports given by adults have also shown high concordance rates (86%–96%) with the household member’s self-report. (Hyland, Cummings, Lynn, Corle, & Gifeen, 1997; Nelson, Longstretch, Koepsell, Checkoway, & van Belle, 1994; Schnitzler, Olshan, Savitz, & Erikson, 1995). The parent study population was all those who were either a current smoker or who had quit smoking (with none currently smoking) by the time the child was in third grade. To be consistent with Bricker et al. (2005), we created a binary predictor variable of parental smoking cessation. Specifically, a “0” was assigned to families with at least one parent currently smoking while the child was in third grade and a “1” was assigned to families with at least one parent who quit smoking, and no parent currently smoking, while the child was in third grade. In our sample, 51.0% (n = 1,283) of the parents were former or current smokers when their child was in third grade.
Child cognitions about smoking at ninth grade
In order to maximize the retention rate of study participants, we kept our surveys brief with one or two item measures of child cognitions about smoking at ninth grade. The retention benefit of this approach brought with it the important limitation that the items had incalculable (in the case of one-item smoking cognition scales) or low alpha internal reliabilities (i.e. in the case of two-item smoking cognition scales). Nonetheless, we chose to utilize these cognitions about smoking items in order to conduct this important and novel study, and we are aware of no other data set that would make it possible to longitudinally examine child cognitions about smoking as mediators of parental smoking cessation.
To examine the prospective mediational role cognitions about smoking play in the relationship between parental smoking cessation and child daily smoking, we utilized constructs from both The Theory of Planned Behavior (TPB; Ajzen, 1991) and Social Cognitive Theory (SCT; Bandura, 1986). The first TPB mediator, global attitudes towards smoking, was measured with two-items “What is your overall feeling towards smoking?” and “Do you think cigarette smoking is bothersome?” The five response options ranged from “very negative” to “very positive” (Cronbach alpha = .49). The second TPB mediator, intentions to smoke, was measured with the item: “Do you think you will smoke cigarettes in the future?” The four response choices ranged from “no, definitely not” to “yes, definitely.” The third TPB mediator, normative beliefs, was measured with two items. A sample item was: “Most high-school students smoke.” Responses were “true” or “false” (Cronbach alpha = .60).
The first SCT mediator, self-efficacy to refuse tobacco, was measured with the item “I know how to get out of situations where others might want me to use tobacco.” The four response options ranged from “not like me at all” to “just like me.” The second SCT mediator, negative expectations about smoking, was measured with two-items. A sample item was: “Smoking hurts the way a person looks” (Cronbach alpha = .55). Due to the low alphas of two-item scales, we chose to utilize each item separately in the analyses. As shown in Table 1, the correlations between the mediators ranged from .04 to .45, with a mean coefficient of .18.
Table 1.
Cognitive Mediator | 1. | 2. | 3. | 4. | 5. | 6. | 7. | 8. |
---|---|---|---|---|---|---|---|---|
1. Feeling about smokinga | 3.26 (1.02) | |||||||
2. Smoke bothersomeb | 0.41**** | 1.73 (1.08) | ||||||
3. Smoking intentionsc | 0.28**** | 0.45**** | 2.75 (0.64) | |||||
4. Self-efficacy to refuse tobaccod | 0.33*** | 0.29**** | 0.33**** | 2.59 (0.82) | ||||
5. Hurts looksei | 0.29**** | 0.22**** | 0.17**** | 0.19**** | 0.80 (0.40) | |||
6. Causes wrinklesfi | 0.12**** | 0.08*** | 0.04 | 0.06** | 0.36**** | 0.66 (0.48) | ||
7. Most adults smokegi | −0.13**** | −0.11 **** | −0.08*** | −0.09**** | −0.09**** | −0.05* | 0.29 (0.45) | |
8. Most HS students smokehi | −0.18**** | −0.06** | −0.04 | −0.07** | −0.07** | 0-.06** | 0.36**** | 0.36 (0.48) |
Pearson correlation coefficients reported on the off-diagonal, mean (SD) along the diagonal.
”What is your overall feeling toward smoking” Responses “Very Negative” to “Very Positive”
”Does cigarette smoke bother you?” Responses “No, not at all” to “Yes, very much”
”Do you think you will smoke cigarettes in the future?” Responses “No, Definitely not” to “Yes, definitely”
“I know how to get out of situations where others might want me to use tobacco” Responses “Not like me at all” to “Just like me”
“Smoking hurts the way a person looks”
“Smoking causes premature wrinkles on the face”
“Most adults smoke”
“Most high School students smoke”
Responses were “True” or “False”
p < 0.05,
p < 0.01,
p < 0.001,
p < 0.0001
Child smoking status at twelfth grade
The primary endpoint for this study was whether or not the child was a daily smoker during twelfth grade. This endpoint is a generally accepted smoking measure for children in twelfth grade (Johnston, O’Malley, & Bachman, 1999; Peterson, Kealey et al., 2000) and child daily smokers are considerably more at risk for health problems and to continue to smoke throughout adulthood than children who smoke less than daily (Holmen, Barrett-Connor, Holmen, & Bjermer, 2000; Johnston et al., 1999). This paper used this endpoint because child daily smoking can lead to (1) tobacco dependence, (2) serious health consequences, and (3) is a stronger predictor of smoking dependence in adulthood than lower levels of child smoking (Chassin, Presson, Pitts, & Sherman, 2000; Patton, Coffey, Sawyer, Wakefield, 2006). Child smoking status was self-reported on an in-class survey. The question “How often do you currently smoke cigarettes?” was asked with answers being coded as “0” for the responses “I have never smoked cigarettes” to “More than once a week, but less than once a day” and classified as a “1” for the responses “One to three cigarettes per day” to “More than 20 cigarettes per day.” For those children who were unable to complete the in-class survey, a telephone questionnaire was conducted in which the question “Do you smoke one or more cigarettes per day?” was asked. If the participant answered “Yes,” then he or she was coded as a “1” (daily smoker). Since there is the possibility that the child will misrepresent their smoking status, twelfth grade participants were required to provide a saliva sample for cotinine analysis. An analysis of a random sample of 12.6% of the saliva samples provided evidence that self-reports were accurate. Only 1.2% of reported non-smokers had evidence of cotinine and only 1.5% of reported smokers showed no evidence of cotinine. In our sample, 30.6% (n = 683) children were daily smokers at twelfth grade.
Mediational Analysis
To examine the extent to which child smoking outcomes were mediated by the hypothesized child cognitions, a mediation analysis consisting of three regression models was conducted (MacKinnon, Lockwood, Hoffman, West, & Sheets, 2002). The first regression model examined the impact of the predictor variable of parental quitting (X) on child smoking status during twelfth grade (Y) [Model 1: E(Y) = γ1 + τX]. A second set of regression models, [Model 2i: E(Mi) = γ2 + αiX], examined the impact of the predictor variable X on each mediator Mi for mediators i=1,…,8. The third regression model examined the simultaneous impact of the predictor variable X and mediators M on the smoking cessation endpoint Y [Model 3: E(Y) = γ3 + τ'X + βˇM]. Finally, the statistical mediation effect is described as the change in the magnitude of the impact of the predictor variable on the outcome effect after the mediators are added into the model (τ − τ'). The Sobel method (Sobel, 1982; 1986) was used to calculate the standard error of the mediation effect and the total effect size for all mediators. The percentage of the total statistical effect of the predictor variable X on the smoking cessation endpoint Y explained by mediators M was calculated as [(τ − τ')/τ] (Kenny, Kashy, & Bolger, 1998).
The mediation analysis adjusted for an indicator of the condition (intervention or control) to which each adolescent was randomized. We used the INDIRECT SPSS macro, developed by Preacher and Hayes (2008), for all mediation analyses and to calculate the total amount of variance explained by all combined significant mediators (Kenny et al., 1988).
Results
The third to last row of Table 2 indicates an overall summary of the Bricker et al. (2003) results showing that children of parents who quit smoking (by the time they were in third grade) had a 30% lower odds of daily smoking at twelfth grade (τ path; OR=.700; 95% CI =.580–.840). As shown in the α̂ column of Table 2, parental smoking cessation by the time their children were in third grade had a significant prospective relationship with nearly all of the ninth grade cognitions: (1) overall negative feeling about smoking (α̂ = .175, p < .001), (2) stronger attitude that cigarette smoke is bothersome (α̂ = .223, p < .0001), (3) lower intentions to smoke (α̂ = .105, p <.001), (4) reduced normative belief that most adults smoke (α̂ = −.168, p < .0001), (5) reduced normative belief that most high school students smoke (α̂ = −.049, p < .05), (6) higher self-efficacy to refuse tobacco (α̂ = .145, p < .0001), and (7) higher negative expectation that smoking hurts the way a person looks: (α̂ = .052, p < .01).
Table 2.
Mediation path | Mediation effect (c) | |||
---|---|---|---|---|
Cognitive Mediator | α̂a | β̂b | Estimate | Standard errord |
Mediators from Theory of Planned Behavior | ||||
General Attitudes Toward smoking | ||||
Overall feeling about smoking | 0.175*** | −0.596**** | −0.104*** | 0.029 |
Cigarette smoke bothersome | 0.223**** | −0.182*** | −0.041* | 0.015 |
Intentions to smoke in future | 0.105*** | −0.106 | −0.011 | 0.010 |
Normative Beliefs | ||||
Most adults smoke | −0.168**** | 0.066 | −0.011 | 0.020 |
Most high-school students smoke | −0.049* | 0.238* | −0.012 | 0.008 |
Mediators from Social Cognitive Theory | ||||
Self-efficacy to refuse tobacco | 0.145**** | −0.202** | −0.029* | 0.012 |
Negative Expectations | ||||
Smoking hurts the way a person looks | 0.052** | 0.007 | 0.000 | 0.008 |
Smoking causes premature face wrinkles | 0.019 | −0.015 | −0.000 | 0.003 |
Effect of Parent’s Quitting on Smoking at 12th grade | Odds Ratio | 95% CI | p-value | |
Total Effect (τ path) | 0.700 | 0.584, 0.840 | <0.001 | |
Direct Effect (τ’ path) | 0.833 | 0.682, 1.019 | 0.075 | |
Total effect of all mediators | 48.9% |
Standardized regression coefficient for intervention effect on mediator.
Standardized coefficient for association between mediator and cessation outcome controlling for HS intervention.
Product of standardized α and β coefficients.
Standard error of the mediation effect.
p < .05.
p < .01.
p < .001.
p < .0001.
Regarding the relationship between ninth grade child smoking beliefs and lower levels of twelfth grade child daily smoking (shown in β̂ column of Table 2), there was a significant prospective relationship in four of the measures: (1) overall negative feeling about smoking (β̂ = −.596, p < .0001) and (2) stronger attitude that cigarette smoke is bothersome (β̂ = −.182, p < .001), (3) normative belief that most high-school students smoke (β̂ = .238, p < .05), and (4) higher self-efficacy to refuse tobacco (β̂ = −.202, p < .01).
Regarding mediation (shown in column of Table 2), the ninth grade cognitions of (1) overall negative feeling about smoking (, SE = 0.029, p < .001), (2) stronger attitude that cigarette smoke is bothersome (, SE = .015, p < .05), and (3) higher self-efficacy to refuse tobacco (, SE = .012, p < .05) each significantly mediated the prospective association between third grade parental smoking cessation and twelfth grade child smoking. Together, all three significant smoking cognition mediators accounted for 48.9% of the prospective relationship between parental smoking cessation and child smoking. When all the significant cognition mediators were combined into one statistical model, the observed association between parental smoking cessation and child smoking was attenuated and no longer statistically significant (τ’ path; OR = .833, p = .075).
Finally, to conservatively test for the possibility that ninth grade child cognitions about smoking may be a reflection of, rather than a prediction of, their twelfth grade daily smoking status, we repeated all analyses while adjusting for smoking status at ninth grade. This secondary analysis showed the same pattern of results. Indeed, the prospective relationship between parental smoking cessation and child daily smoking was again non-significant (τ’ path, OR = .880, p = .224) when the significant child cognitions were included in the model.
Discussion
This paper is the first to examine whether the relationship between parental smoking cessation and child daily smoking was mediated by child cognitions about smoking. The results of the study provide three key findings. First, parental smoking cessation by the time their children were in third grade had a direct prospective relationship with nearly all smoking mediators at ninth grade. Second, ninth grade measures of the overall feelings about smoking, the attitude that smoke is bothersome, and higher tobacco refusal self-efficacy had a negative relationship with child smoking while the ninth grade measure of the normative belief that most high school students smoke had a positive relationship with daily smoking at twelfth grade. Finally, ninth grade measures of two general attitudes toward smoking and tobacco refusal self-efficacy were significant mediators that accounted for 48.9% of the prospective relationship between parental smoking cessation by third grade and child daily smoking in twelfth grade. When these three significant mediators were included in the statistical model, the relationship between parental smoking cessation and child daily smoking became non-significant.
The finding that TPB-consistent general attitudes toward smoking were significant mediators of parental smoking cessation is generally consistent with our hypotheses. Parents who quit smoking may be especially motivated to engage in a variety of non-smoking behaviors and educate their children on numerous specific consequences of smoking. The amalgamation of these parenting behaviors may lead children to develop general negative attitudes toward smoking. These general attitudes may have a pervasive and enduring impact on children’s smoking behavior.
We also found it interesting that one SCT-consistent mediator, tobacco refusal self-efficacy, was a significant mediator. Parents who used to smoke may believe that their children are more susceptible to acquiring smoking. Therefore, they may educate their children about various strategies to refuse tobacco offers. Such strategies could be extrapolated from the Bricker et al. (2005) study where parents who asked others to not smoke around them accounted for 22% of the association between parental smoking cessation and child smoking. Children may also learn such strategies through observation and are able to apply them in situations where they are offered a cigarette. Knowing these different strategies may help the child be more confident in refusing tobacco. Future research should test these possibilities.
The results of this paper help fill the gaps left by the two prior investigations of parental cessation mediators. By addressing key limitations of the Chassin et al. (2002) study (e.g. cross-sectional design), we believe that this paper was able to provide evidence that child cognitions about smoking have a significant role in mediating the relationship between parental cessation and child daily smoking. The results of this study also complement the findings of the Bricker et al. (2005) study, which focused on parent anti-smoking actions, by suggesting that child general attitudes and refusal self-efficacy also have a mediating role in parental cessation.
Taken together, the significant findings from each of the three mediational studies to date (including this study) provide a hypothetical model of how parental cessation influences child smoking. The significant role of mothers’ implicit attitudes found in Chassin et al. (2002) may influence their actions toward smoking. Negative implicit attitudes may lead to the parent anti-smoking actions examined in Bricker et al (2005). These anti-smoking actions may socialize a child to develop more negative attitudes toward smoking thereby reducing their risk of smoking. Such an integration of the three studies’ findings could be empirically tested in future research.
Intervention Implications
The mediational role of the mediators in this study suggests several implications for child smoking prevention interventions. First, parent-targeted cessation programs that include the goal of preventing child smoking could teach parents who quit smoking to socialize their child to have a negative general attitude toward smoking and to develop confidence in their ability to refuse tobacco. Additionally, the results may help motivate parents to discuss the potential hazards of smoking or to teach their child different strategies to refuse tobacco and thereby build their confidence in using those skills.
Limitations
Key limitations of this study were the following. First, as we mention in the Methods, the measures of child cognitions were limited to one or two items, thereby reducing their precision. The fact that (1) parental smoking cessation was prospectively associated with nearly all of these child cognitions, (2) four of these cognitions were prospectively associated with child smoking, and that (3) three of the cognitions mediated parental smoking cessation suggests that these measures were nonetheless valuable and the results may have been even stronger with more precise measures. Second, strict causal influences cannot be drawn because the study only presents prospective associations. Third, the results of this study are only generalizable to children whose parents smoked previously. Additionally, caution should be used when generalizing from this study as 90% of the study participants were Caucasian. However, the study population was representative of Washington State.
Future Directions
The results from this study provide several directions for future investigations. First, future studies should utilize psychometrically-sound measures of cognition mediators. Second, cognition measures could be recorded at multiple time points to investigate when child cognitions most strongly mediate the impact of parental smoking cessation on child smoking. Third, future investigations could examine other cognitions, including: perceived behavioral control and subjective norms. Finally, future work could collect smoking cognition data from a more diverse study population.
Conclusion
This is the first prospective study to examine the extent to which children’s cognitions about smoking mediate the relationship between parental smoking cessation and child daily smoking. Two general smoking attitudes and tobacco refusal self-efficacy, measured during ninth grade, were important mediators that accounted for 48.9% of the prospective relationship between parental smoking cessation, measured during third grade, and child daily smoking, measured during twelfth grade.
Acknowledgments
The data for this paper were provided by the Hutchinson Smoking Prevention Project, a project funded by National Cancer Institute grant CA-38269. The data were collected with the approval of the Fred Hutchinson Cancer Research Center’s Institutional Review Board and with informed consent of the respondents. We thank the children and parents in the study who provided their survey data. The paper was written with the support of National Cancer Institute grant CA-109652.
We gratefully acknowledge Professor David Mackinnon for his consultation on the mediational analysis.
Footnotes
Publisher's Disclaimer: The following manuscript is the final accepted manuscript. It has not been subjected to the final copyediting, fact-checking, and proofreading required for formal publication. It is not the definitive, publisher-authenticated version. The American Psychological Association and its Council of Editors disclaim any responsibility or liabilities for errors or omissions of this manuscript version, any version derived from this manuscript by NIH, or other third parties. The published version is available at www.apa.org/pubs/journals/HEA
Declaration of Interest
Authors have no conflicts of interest.
Contributor Information
Christopher M. Wyszynski, Fred Hutchinson Cancer Research Center & Department of Psychology, University of Washington, Seattle, Washington
Jonathan B. Bricker, Fred Hutchinson Cancer Research Center & Department of Psychology, University of Washington
Bryan A. Comstock, Department of Biostatistics, University of Washington
References
- Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991;50:179–211. [Google Scholar]
- Attebring MF, Herlitz J, Berndt AK, Karlsson T, Hjalmarson A. Are patients truthful about their smoking habits? A validation of self-report about smoking cessation with biochemical markers of smoking activity among patients with ischaemic heart disease. Journal of Internal Medicine. 2001;249:145–151. doi: 10.1046/j.1365-2796.2001.00770.x. [DOI] [PubMed] [Google Scholar]
- Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall; 1986. [Google Scholar]
- Bricker JB, Leroux BG, Andersen M, Robyn R, Kumar B, Peterson AV., Jr Parental smoking cessation and children's smoking: Mediation by antismoking actions. Nicotine & Tobacco Research. 2005;7:501–509. doi: 10.1080/14622200500186353. [DOI] [PubMed] [Google Scholar]
- Bricker JB, Leroux BG, Peterson AV, Jr, Kealey KA, Sarason IG, Andersen MR, Marek PM. Nine-year prospective relationship between parental smoking cessation and children’s daily smoking. Addiction. 2003;98:585–593. doi: 10.1046/j.1360-0443.2003.00343.x. [DOI] [PubMed] [Google Scholar]
- Call VR, Otto LB, Spenner KI. Tracking respondents: A multi-method approach. Lexington, MA: Lexington Books; 1982. [Google Scholar]
- Chassin L, Presson CC, Pitts SC, Sherman SJ. The natural history of cigarette smoking from adolescence to adulthood in a midwestern community sample: Multiple trajectories and their psychosocial correlates. Health Psychology. 2000;19:223–231. [PubMed] [Google Scholar]
- Chassin L, Presson C, Rose J, Sherman SJ, Prost J. Parental smoking cessation and adolescent smoking. Journal of Pediatric Psychology. 2002;27:485–496. doi: 10.1093/jpepsy/27.6.485. [DOI] [PubMed] [Google Scholar]
- Chassin L, Presson CC, Sherman SJ. Parental smoking cessation and adolescent smoking: A commentary on Bricker et al. Addiction. 2003;98:598–599. doi: 10.1046/j.1360-0443.2003.t01-8-00396.x. [DOI] [PubMed] [Google Scholar]
- Farkas AJ, Distefan JM, Choi WS, Gilpin EA, Pierce JP. Does parental smoking cessation discourage adolescent smoking? Preventive Medicine. 1999;28:213–218. doi: 10.1006/pmed.1998.0451. [DOI] [PubMed] [Google Scholar]
- Flay BR, Petraitis J, Hu F. Psychosocial risk and protective factors for adolescent tobacco use. Nicotine and Tobacco Research. 1999;1 Suppl.:59–66. doi: 10.1080/14622299050011611. [DOI] [PubMed] [Google Scholar]
- Holmen TL, Barrett-Connor E, Holmen J, Bjermer L. Adolescent occasional smokers, a target group for smoking cessation? The Nord-Trøndelag Health Study, Norway, 1995–1997. Preventive Medicine. 2000;31:682–690. doi: 10.1006/pmed.2000.0750. [DOI] [PubMed] [Google Scholar]
- Hyland A, Cummings KM, Lynn WR, Corle D, Gifeen C. Effect of proxy-reported smoking status on population estimates of smoking prevalence. American Journal of Epidemiology. 1997;145:746–751. doi: 10.1093/aje/145.8.746. [DOI] [PubMed] [Google Scholar]
- Jackson C, Henriksen L. Do as I say: Parent smoking, antismoking socialization, and smoking onset among children. Addictive Behaviors. 1997;22:107–114. doi: 10.1016/0306-4603(95)00108-5. [DOI] [PubMed] [Google Scholar]
- Johnston LD, O’Malley PM, Bachman JG. National survey results on drug use from the Monitoring the Future Study, 1975–1998. Vol. 2. Rockville, MD: National Institute on Drug Abuse; 1999. pp. 30–35. NIH Publication No. 99-4661. [Google Scholar]
- Kenny DA, Kashy DA, Bolger N. Data analysis in social psychology. In: Gilbert D, Fiske S, Lindzey G, editors. The handbook of social psychology. 4th ed. Vol. 1. Boston, MA: McGraw-Hill; 1998. pp. 233–265. [Google Scholar]
- MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychological Methods. 2002;7:83–104. doi: 10.1037/1082-989x.7.1.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murray RP, Connett JE, Lauger GG, Voelker HT. Error in smoking measures: Effects of intervention on relations of cotinine and carbon monoxide to self-reported smoking. The Lung Health Study Research Group. American Journal of Public Health. 1993;83:1251–1257. doi: 10.2105/ajph.83.9.1251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nelson LM, Longstretch WT, Koepsell TD, Checkoway H, van Belle G. Completeness and accuracy of interview data from proxy respondents: Demographic, medical and life-style factors. Epidemiology. 1994;5:204–217. doi: 10.1097/00001648-199403000-00011. [DOI] [PubMed] [Google Scholar]
- Patton GC, Coffey C, Carlin JB, Sawyer SM, Wakefield M. Teen smokers reach their mid twenties. Journal of Adolescent Health. 2006;39:214–220. doi: 10.1016/j.jadohealth.2005.11.027. [DOI] [PubMed] [Google Scholar]
- Peterson AV, Jr, Kealey KA, Mann SL, Marek PM, Sarason IG. Hutchinson Smoking Prevention Project (HSPP): A long-term randomized trial in school-based tobacco use prevention. Results on smoking. Journal of the National Cancer Institute. 2000;92:1979–1991. doi: 10.1093/jnci/92.24.1979. [DOI] [PubMed] [Google Scholar]
- Peterson AV, Jr, Mann SL, Kealey KA, Marek PM. Experimental design and methods for school-based randomized trials: Experience from the Hutchinson Smoking Prevention Project (HSPP) Controlled Clinical Trials. 2000;21:144–165. doi: 10.1016/s0197-2456(99)00050-1. [DOI] [PubMed] [Google Scholar]
- Pirie PL, Thomson SJ, Mann SL, Peterson AV, Jr, Murray DM, Flay BR, et al. Tracking and attrition in longitudinal school-based smoking prevention research. Preventive Medicine. 1989;18:249–256. doi: 10.1016/0091-7435(89)90072-8. [DOI] [PubMed] [Google Scholar]
- Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods. 2008;40:879–891. doi: 10.3758/brm.40.3.879. [DOI] [PubMed] [Google Scholar]
- Schnitzler PG, Olshan AF, Savitz DA, Erikson JD. Validity of mother’s report of father’s occupation in a study of paternal occupation and congenital malformations. American Journal of Epidemiology. 1995;141:872–877. doi: 10.1093/oxfordjournals.aje.a117523. [DOI] [PubMed] [Google Scholar]
- Shaffer HJ, Eber GB, Hall MN, Vander Bilt J. Smoking behavior among casino employees: Self-report validation using plasma cotinine. Addictive Behavior. 2000;25:693–704. doi: 10.1016/s0306-4603(00)00076-9. [DOI] [PubMed] [Google Scholar]
- Sobel ME. Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhardt S, editor. Sociological Methodology 1982. Washington, DC: American Sociological Association; 1982. pp. 290–312. [Google Scholar]
- Sobel ME. Some new results on indirect effects and their standard errors in covariance structure models. In: Tuma N, editor. Sociological Methodology 1986. Washington, DC: American Sociological Association; 1986. pp. 159–186. [Google Scholar]