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Results of a Feasibility and Acceptability Trial of an Online Smoking Cessation Program Targeting Young Adult Nondaily Smokers

By Carla J. Berg and Gillian L. Schauer


Despite increases in nondaily smoking among young adults, no prior research has aimed to develop and test an intervention targeting this group. Thus, we aimed to develop and test the feasibility, acceptability, and potential effectiveness of an online intervention targeting college student nondaily smokers. We conducted a one-arm feasibility and acceptability trial of a four-week online intervention with weekly contacts among 31 college student nondaily smokers. We conducted assessments at baseline (B), end of treatment (EOT), and six-week followup (FU). We maintained a 100% retention rate over the 10-week period. Google Analytics data indicated positive utilization results, and 71.0% were satisfied with the program. There were increases (P < .001) in the number of people refraining from smoking for the past 30 days and reducing their smoking from B to EOT and to FU, with additional individuals reporting being quit despite recent smoking. Participants also increased in their perceptions of how bothersome secondhand smoke is to others (P < .05); however, no other attitudinal variables were altered. Thus, this intervention demonstrated feasibility, acceptability, and potential effectiveness among college-aged nondaily smokers. Additional research is needed to understand how nondaily smokers define cessation, improve measures for cessation, and examine theoretical constructs related to smoking among this population

Topics: Research Article
Publisher: Hindawi Publishing Corporation
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    1. (1997). Adult smokers who do not smoke daily,”
    2. (2009). American college health association-national collegehealthassessmentspring2008referencegroupdatareport (Abridged): the American college health association,”
    3. (1975). Attitude, Intention, and Behavior: An Introduction to Theory and Research,
    4. (2010). Defining ”smoker”: college student attitudes and related smoking characteristics,”
    5. (2010). Department of Health and Human Services, “How tobacco smoke causes disease: the biology and behavioral basis for smoking-attributable disease,”
    6. (2009). Disease Control and Prevention, “Vital signs: current cigarette smoking among adults aged ≥18 years— United States
    7. (2009). Health information seeking and media exposure among smokers: a comparison of light and intermittent tobacco users with heavy users,”
    8. (2008). Hypermnesia: a further examination of age differences between young and older adults,”
    9. (2008). Inc., “Tools of change for publishing,”
    10. (2009). L.C.An,C.J.Berg,C.M.Klattetal.,“Symptomsofcoughand shortness of breath among occasional young adult smokers,”
    11. (2009). Light and intermittent smoking: the road less traveled,”
    12. (2009). Monitoring web traffics o u r c ee ffectiveness with Google analytics: an experiment with time series,” Aslib Proceedings: New Information Perspectives,
    13. (1998). Nicotine replacement: a new approach to reducing tobacco-related harm,”
    14. Nondaily smokers versus nonsmokers and daily smokers: distinguishing characteristics and factors related to readiness to quit smoking,” Health Education Research.
    15. Nondaily smokers: a descriptive analysis,” NicotineandTobaccoResearch,vol.5,no.5,pp.755–759,2003.
    16. (2001). O k u y e m i ,J .S .A h l u w a l i a ,K .P .R i c h t e r
    17. Occam’s Razor. excellent analytics tip #11: measureeffectivenessofyourwebpages,”2007,http://www.kaushik .net/avinash/excellent-analytics-tip-11-measure-effectiveness-of-your-web-pages/.
    18. (2000). Occasional smoking increases total and cardiovascular mortality among men,”
    19. (1999). of Health and Human Services, Tobacco Control Section, California Tobacco Survey: 1999,C a n c e r Prevention and Control Unit,
    20. (2006). P´ erez-Stable, “Nondaily smokers should be asked and advised to quit,”
    21. (2005). Predicting smoking status in a college-age population,”
    22. (2004). Predictors of smoking cessation among African-Americans enrolled in a randomized controlled trial ofbupropion,”PreventiveMedicine,vol.38,no.4,pp.498–502,
    23. (2008). Prenatal psychosocial stress exposure is associated with insulin resistance in young adults,”
    24. (1984). Self change processes, self-efficacy and decisional balance across five stages of smoking cessation,”
    25. (2009). Smoker selfidentification versus recent smoking among college students,”
    26. (2004). Social smoking among US college students,”
    27. (1983). Stages and processes of self-change of smoking: toward an integrative model of8
    28. (2011). T i n d l ea n dS .S h i ffman, “Smoking cessation behavior among intermittent smokers versus daily smokers,”
    29. The development and validation of a scale assessing individual schemas used in classifyingasmoker:implicationsforresearchandpractice,”NicotineandTobaccoResearch,vol.13,no.12,pp.1257–1265,2011.
    30. (1984). The Health Belief Model: a decade later,”
    31. (1988). The precaution adoption process,”
    32. (2004). The psychological determinants of low-rate daily smoking,”
    33. (1998). The role of weight concern and self-efficacy in smoking cessation and weight gain among smokersinaclinic-basedcessationprogram,”AddictiveBehaviors,
    34. (2004). W etter ,S.L.K enfor d,S.K.W elschetal.,“P r evalenc eand predictors of transitions in smoking behavior among college students,”
    35. (2004). W.S.Choi,K.S.Okuyemi,H.Kaur,andJ.S.Ahluwalia,“Comparison of smoking relapse curves among African-American smokers,”

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