Differential Efficacy of Nicotine Replacement Among Overweight and Obese Women Smokers

Strong, David R.; David, Sean P.; Johnstone, Elaine; Aveyard, Paul; Murphy, Michael; Munafò, Marcus R.

doi:10.1093/ntr/ntu256

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…Also, there are different approaches for assessing susceptibility to smoking. [44][45][46] In the present study, we indexed propensity to smoke with three different indicators and results were consistent across measures, but other approaches should be tested and compared. We did not assess level of nicotine dependence and the follow-up interval of 1 year was relatively short.…”

Section: Discussionmentioning

confidence: 68%

E-cigarette use is differentially related to smoking onset among lower risk adolescents

et al. 2016

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Objective E-cigarette use has been linked to onset of cigarette smoking among adolescents but some commentators have suggested that this simply reflects high-risk adolescents being more likely to use e-cigarettes and to smoke. We tested whether the effect of e-cigarette use for smoking onset differs for youth who are lower vs. higher on propensity to smoke. Methods School-based survey with a longitudinal sample of 1,136 students (9th – 11th graders, mean age 14.7 years) in Hawaii, initially surveyed in 2013 (T1) and followed up 1 year later (T2). We assessed e-cigarette use, propensity to smoke based on three psychosocial factors known to predict smoking (rebelliousness, parental support, and willingness to smoke), and cigarette smoking status. Analyses based on T1 never-smokers tested the relation of T1 e-cigarette use to T2 smoking status for participants lower vs. higher on T1 propensity to smoke. Results The relation between T1 e-cigarette use and T2 smoking onset was stronger among participants with lower levels of rebelliousness and willingness and higher levels of parental support. A multiple logistic regression analysis with T2 smoking as the criterion tested the cross-product of T1 e-cigarette use and T1 smoking propensity score; the interaction (OR = 0.88, p = .01) indicated a significantly larger effect for smoking onset among lower-risk youth. Conclusions The results indicate e-cigarette use is a risk factor for smoking onset, not just a marker of high risk for smoking. This study provides evidence that e-cigarettes are recruiting lower-risk adolescents to smoking, which has public health implications.

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Section: Discussionmentioning

confidence: 68%

E-cigarette use is differentially related to smoking onset among lower risk adolescents

et al. 2016

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“…A study of methylphenidate to aid smoking cessation in smokers with attention deficit hyperactivity disorder reported in a post‐hoc analysis an effect only in those smokers with more severe symptoms 20. A post‐hoc analysis of two RCTs of NRT found reduced efficacy in overweight women 21. It has been proposed that female smokers may not respond as well to NRT or bupropion as male smokers 22.…”

Section: Introductionmentioning

confidence: 99%

Factors associated with the efficacy of smoking cessation treatments and predictors of smoking abstinence in EAGLES

et al. 2018

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AimsTo assess (1) how far the efficacies of front‐line smoking cessation pharmacotherapies vary as a function of smoker characteristics and (2) associations between these characteristics and success of smoking cessation attempts.DesignProspective correlational study in the context of a double‐blind randomized trial. The outcome was regressed individually onto each covariate after adjusting for treatment, and then a forward stepwise model constructed. Treatment moderator effects of covariates were tested by treatment × covariate interactions.SettingHealth service facilities in multiple countries.ParticipantsData came from 8120 smokers willing to make a quit attempt, randomized to varenicline, bupropion, nicotine replacement therapy (NRT) or placebo in Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES) between 30 November 2011 and 13 January 2015.MeasurementsSmoker characteristics measured at baseline were country, psychiatric history, sex, age, body mass index (BMI), ethnic group, life‐time suicidal ideation/behaviour, anxiety, depression, aggression, psychotropic medication, history of alcohol/substance use disorder, age of starting smoking, cigarette dependence [Fagerström Test for Cigarette Dependence (FTCD)] and prior use of study medicines. Outcome was biochemically confirmed continuous abstinence at weeks 9–24 from start of treatment.FindingsNo statistically significant treatment × covariate interactions were found. Odds of success were associated independently positively with age [odds ratio (OR) = 1.01; 95% confidence interval (CI) = 1.00, 1.01], BMI (1.01; 95% CI = 1.00, 1.02) and age of starting smoking (1.03; 95% CI = 1.02, 1.04). Odds were associated independently negatively with US (versus non‐US) study site (0.53; 95% CI = 0.46, 0.61), black (versus white) ethnic group (0.57; 95% CI = 0.45, 0.72), mood disorder (0.85; 95% CI = 0.73, 0.99), anxiety disorder (0.71; 95% CI = 0.55, 0.90) and psychotic disorder (0.73; 95% CI = 0.50, 1.07), taking psychotropic medication (0.81; 95% CI = 0.68, 0.95), FTCD (0.89; 95% CI = 0.87, 0.92) and previous use of NRT (0.78; 95% CI = 0.67, 0.91).ConclusionsWhile a range of smoker characteristics—including psychiatric history, cigarette dependence and prior use of nicotine replacement therapy (NRT)—are associated with lower cessation rates, they do not substantially influence the efficacy of varenicline, bupropion or NRT.

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“…In an unexpected finding, significantly more normal BMI men smoked than any other category, although there are studies showing increased nicotine thermogenesis during light physical activity in men (40), but not women (41). Then, while women are reported to be less responsive to nicotine (20), their cigarette consumption, stratified by sex and BMI classification, showed differences in daily use amounting to 2 or fewer cigarettes. Though there was a statistically significant sex effect, this finding is more related to sample size than utility.…”

Section: Discussionmentioning

confidence: 94%

“…Women show poorer response to nicotine patch and smoking cessation interventions (18)(19)(20). They metabolize nicotine more rapidly (21,22) self-regulate, its intake less closely (23), and show less interoceptive dose discrimination when nicotine dose is controlled (24).…”

Section: Introductionmentioning

confidence: 99%

Body Weight Does Not Associate with Smoking Prevalence or Cigarette Consumption in Adult Women

Alshehri

Hawk

et al. 2022

clinhp

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Introduction Women are reported to smoke more in association with body weight effects than nicotine dependence, findings that may support including sex-specific dietary interventions in smoking cessation programs. To evaluate this proposition, we examined the influence of sex and BMI classification on adult smoking prevalence and nicotine dependence (measured as cigarette consumption). Method National Longitudinal Study of Adolescent and Adult Health (Add Health) data were filtered to US adults reporting smoking histories 10-15 years prior. Binary logistic regression modeling tested associations of sex and BMI classification (Normal, Overweight, Obese) with adult smoking status (former smoker versus smoker). Linear regression modeling tested the influence of sex and BMI classification on cigarette consumption in adult smokers. Results In 4,472 adults [Age x̅ (SD) = 37.89 (1.88) years)], significant sex-by-BMI classification interaction on smoking status was observed [Wald X2 = 257.2 on 8 df, p < 0.0001]. Normal BMI men smoked at the highest rates overall. No other pairwise comparisons showed between-or within-sex relationships. Median differences in cigarette consumption in persisting adult smokers, disaggregated by sex and BMI classification, amounted to no more than 2 cigarettes daily. Conclusion Adult women show no greater smoking prevalence or cigarette consumption in association with body weight. Sex-specific interventions do not appear to be indicated. Implications for multiple health behavior approaches are discussed.

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Differential Efficacy of Nicotine Replacement Among Overweight and Obese Women Smokers

Cited by 5 publications

References 27 publications

E-cigarette use is differentially related to smoking onset among lower risk adolescents

E-cigarette use is differentially related to smoking onset among lower risk adolescents

Factors associated with the efficacy of smoking cessation treatments and predictors of smoking abstinence in EAGLES

Body Weight Does Not Associate with Smoking Prevalence or Cigarette Consumption in Adult Women

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