Taneisha S Scheuermann1, Nicole L Nollen2, Lisa Sanderson Cox2, Lorraine R Reitzel3, Carla J Berg4, Hongfei Guo5, Ken Resnicow6, Jasjit S Ahluwalia7. 1. Department of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, KS, USA. Electronic address: tscheuermann@kumc.edu. 2. Department of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, KS, USA. 3. College of Education, Department of Educational Psychology, University of Houston, Houston, TX, USA. 4. Department of Behavioral Sciences and Health Education, Emory University School of Public Health, Atlanta, GA, USA. 5. Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA. 6. Department of Health Behavior & Health Education, University of Michigan, School of Public Health, Ann Arbor, MI, USA. 7. Department of Medicine and Center for Health Equity, University of Minnesota Medical School, Minneapolis, MN, USA.
Abstract
OBJECTIVES: The Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multi-dimensional smoking dependence measure that assesses primary dependence motives (PDM; e.g., core dependence marked by tolerance, craving) and secondary dependence motives (SDM; e.g., auxiliary dependence motives such as cognitive enhancement, weight control). However, the relationship between PDM, SDM, and smoking level remains unclear. Thus, we examined these scales across smoking levels in a diverse sample of smokers. METHODS: Participants were 2376 African American, Latino, and non-Hispanic White smokers recruited using an online panel research company. The sample included 297 native nondaily smokers (never smoked daily), 297 converted nondaily smoker (previously smoked daily for ≥six months), 578 light daily smokers (≤10 cigarettes per day [cpd]), and 597 moderate to heavy daily smokers (>10cpd). METHODS: Results of a multinomial logistic regression showed that for each unit increase in SDM, after controlling for PDM, the odds of being a native nondaily, converted nondaily or light smoker vs. moderate to heavy smoker increased by 29% to 56% (ps<0.001). In the model, higher PDM scores were associated with lower odds of being a native nondaily, converted nondaily, or light smoker vs. a moderate to heavy daily smoker (ps<0.001). CONCLUSION: Nondaily and light smokers endorse higher secondary dependence motives relative to their primary dependence motives. Smoking cessation trials for nondaily and light smokers might address these secondary motives within the context of counseling intervention to enhance abstinence.
OBJECTIVES: The Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multi-dimensional smoking dependence measure that assesses primary dependence motives (PDM; e.g., core dependence marked by tolerance, craving) and secondary dependence motives (SDM; e.g., auxiliary dependence motives such as cognitive enhancement, weight control). However, the relationship between PDM, SDM, and smoking level remains unclear. Thus, we examined these scales across smoking levels in a diverse sample of smokers. METHODS:Participants were 2376 African American, Latino, and non-Hispanic White smokers recruited using an online panel research company. The sample included 297 native nondaily smokers (never smoked daily), 297 converted nondaily smoker (previously smoked daily for ≥six months), 578 light daily smokers (≤10 cigarettes per day [cpd]), and 597 moderate to heavy daily smokers (>10cpd). METHODS: Results of a multinomial logistic regression showed that for each unit increase in SDM, after controlling for PDM, the odds of being a native nondaily, converted nondaily or light smoker vs. moderate to heavy smoker increased by 29% to 56% (ps<0.001). In the model, higher PDM scores were associated with lower odds of being a native nondaily, converted nondaily, or light smoker vs. a moderate to heavy daily smoker (ps<0.001). CONCLUSION: Nondaily and light smokers endorse higher secondary dependence motives relative to their primary dependence motives. Smoking cessation trials for nondaily and light smokers might address these secondary motives within the context of counseling intervention to enhance abstinence.
Authors: Megan E Piper; Thomas M Piasecki; E Belle Federman; Daniel M Bolt; Stevens S Smith; Michael C Fiore; Timothy B Baker Journal: J Consult Clin Psychol Date: 2004-04
Authors: Lisa Sanderson Cox; Nicole L Nollen; Matthew S Mayo; Won S Choi; Babalola Faseru; Neal L Benowitz; Rachel F Tyndale; Kolawole S Okuyemi; Jasjit S Ahluwalia Journal: J Natl Cancer Inst Date: 2012-01-25 Impact factor: 13.506
Authors: Megan E Piper; Danielle E McCarthy; Daniel M Bolt; Stevens S Smith; Caryn Lerman; Neal Benowitz; Michael C Fiore; Timothy B Baker Journal: Nicotine Tob Res Date: 2008-06 Impact factor: 4.244
Authors: Timothy B Baker; Megan E Piper; Danielle E McCarthy; Daniel M Bolt; Stevens S Smith; Su-Young Kim; Suzanne Colby; David Conti; Gary A Giovino; Dorothy Hatsukami; Andrew Hyland; Suchitra Krishnan-Sarin; Raymond Niaura; Kenneth A Perkins; Benjamin A Toll Journal: Nicotine Tob Res Date: 2007-11 Impact factor: 4.244
Authors: Jessica M Powers; Emily L Zale; Alexa G Deyo; Dana Rubenstein; Ellen L Terry; Bryan W Heckman; Joseph W Ditre Journal: J Racial Ethn Health Disparities Date: 2022-09-28
Authors: Lisa Sanderson Cox; Nicole L Nollen; Matthew S Mayo; Babalola Faseru; Allen Greiner; Edward F Ellerbeck; Ron Krebill; Rachel F Tyndale; Neal L Benowitz; Jasjit S Ahluwalia Journal: JAMA Date: 2022-06-14 Impact factor: 157.335
Authors: Nicole L Nollen; Lisa Sanderson Cox; Matthew S Mayo; Edward F Ellerbeck; Sheshadri Madhusudhana; Jasjit S Ahluwalia Journal: Contemp Clin Trials Date: 2018-05-19 Impact factor: 2.226