Introduction: Weight gain and concerns about weight can influence a smoker's ability to successfully quit, and young adults are a subgroup of smokers who are particularly concerned about the impact of quitting on their body weight. This study explored the associations between body mass index, weight perceptions, and smoking status among young adults. Methods: The sample consisted of 4027 young adults between the ages of 18 and 29 who participated in a randomized control trial of the National Cancer Institute's SmokefreeTXT program. Multivariable logistic regression models were used to examine the associations between weight related variables and smoking status. Results: Obese participants had a 0.72 lower odds (95% CI: 0.62, 0.85) of reporting smoking at the end of the program than participants of normal weight, and this difference persisted over time. Weight perceptions were also associated with smoking status. Those who perceived themselves to be slightly underweight/underweight were more likely to report smoking than those who reported being just about the right weight (OR: 1.53, 95% CI: 1.20, 1.95), and those who strongly disagreed that smoking cigarettes helps people keep their weight down were less likely to report smoking at the end of treatment than those who neither agreed nor disagreed with this statement (OR: 0.69, 95% CI: 0.54, 0.87). Conclusions: Weight related factors assessed at baseline predicted smoking status at the end of treatment and through long term follow-up. Smoking cessation programs that tailor content to addresses the specific needs of weight concerned smokers may enhance effectiveness. Implications: This study explores the association between weight related factors and smoking status among young adults, a priority population for smoking cessation efforts. This study demonstrates that both actual weight and weight perceptions (eg, perception of body weight, perception of associations between smoking and weight) are associated with smoking outcomes, and thus need to be a considered in the development of smoking cessation programs.
RCT Entities:
Introduction: Weight gain and concerns about weight can influence a smoker's ability to successfully quit, and young adults are a subgroup of smokers who are particularly concerned about the impact of quitting on their body weight. This study explored the associations between body mass index, weight perceptions, and smoking status among young adults. Methods: The sample consisted of 4027 young adults between the ages of 18 and 29 who participated in a randomized control trial of the National Cancer Institute's SmokefreeTXT program. Multivariable logistic regression models were used to examine the associations between weight related variables and smoking status. Results: Obese participants had a 0.72 lower odds (95% CI: 0.62, 0.85) of reporting smoking at the end of the program than participants of normal weight, and this difference persisted over time. Weight perceptions were also associated with smoking status. Those who perceived themselves to be slightly underweight/underweight were more likely to report smoking than those who reported being just about the right weight (OR: 1.53, 95% CI: 1.20, 1.95), and those who strongly disagreed that smoking cigarettes helps people keep their weight down were less likely to report smoking at the end of treatment than those who neither agreed nor disagreed with this statement (OR: 0.69, 95% CI: 0.54, 0.87). Conclusions: Weight related factors assessed at baseline predicted smoking status at the end of treatment and through long term follow-up. Smoking cessation programs that tailor content to addresses the specific needs of weight concerned smokers may enhance effectiveness. Implications: This study explores the association between weight related factors and smoking status among young adults, a priority population for smoking cessation efforts. This study demonstrates that both actual weight and weight perceptions (eg, perception of body weight, perception of associations between smoking and weight) are associated with smoking outcomes, and thus need to be a considered in the development of smoking cessation programs.
Authors: Matthew M Clark; Paul A Decker; Kenneth P Offord; Christi A Patten; Kristin S Vickers; Ivana T Croghan; J Taylor Hays; Richard D Hurt; Lowell C Dale Journal: Addict Behav Date: 2004-11 Impact factor: 3.913
Authors: Matthew M Clark; Richard D Hurt; Ivana T Croghan; Christi A Patten; Paul Novotny; Jeff A Sloan; Shaker R Dakhil; Gary A Croghan; Edward J Wos; Kendrith M Rowland; Albert Bernath; Roscoe F Morton; Sachdex P Thomas; Loren K Tschetter; Stewart Garneau; Philip J Stella; Larry P Ebbert; Donald B Wender; Charles L Loprinzi Journal: Addict Behav Date: 2005-08-30 Impact factor: 3.913
Authors: Michele D Levine; Kenneth A Perkins; Melissa A Kalarchian; Yu Cheng; Patricia R Houck; Jennifer D Slane; Marsha D Marcus Journal: Arch Intern Med Date: 2010-03-22
Authors: Bonnie Spring; Dorothea Howe; Mark Berendsen; H Gene McFadden; Kristin Hitchcock; Alfred W Rademaker; Brian Hitsman Journal: Addiction Date: 2009-06-22 Impact factor: 6.526
Authors: Linda Squiers; Derick Brown; Sarah Parvanta; Suzanne Dolina; Bridget Kelly; Jill Dever; Brian G Southwell; Amy Sanders; Erik Augustson Journal: JMIR Res Protoc Date: 2016-06-27