A Cognitive-Behavioral Weight Control Program Improves Eating and Smoking Behaviors in Weight-Concerned Female Smokers

Sallit, Jennifer; Ciccazzo, Michele; Dixon, Zisca

doi:10.1016/j.jada.2009.05.009

Cited by 30 publications

(25 citation statements)

References 58 publications

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“…This is consistent with prior findings that greater smoking expectancies were correlated with perceived barriers to quitting (Asher et al, 2003) and lower motivation to quit (Hendricks, Peters, Thorne, Delucchi, & Hall, 2014) among substance-using smokers. This finding on weight-control expectancies was also a notable result in our all-male sample, given that studies on smoking-related weight concerns and applicable interventions have often focused on female smokers (Fulkerson & French, 2003; Sallit, Ciccazzo, & Dixon, 2009). Our study suggests male smokers with greater weight-control expectancies also have greater difficulty in reducing their smoking.…”

Section: Discussionsupporting

confidence: 59%

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Worley

Isgro

Heffner

et al. 2018

Addictive Behaviors

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Smokers with AD can achieve large reductions in smoking quantity during treatment, and factors that predict smoking outcomes in the general population also predict greater smoking reductions in AD smokers. Treatment providers can use severity of nicotine dependence and AD, motivation to quit, smoking-related cognitions, and severity of depression to guide treatment and improve outcomes among AD smokers.

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Section: Discussionsupporting

confidence: 59%

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Worley

Isgro

Heffner

et al. 2018

Addictive Behaviors

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“…Control group participants in all trials were assessed at baseline and follow up; and at least one additional assessment was conducted in almost one third of studies (n = 26, 31%). In all but one trial [18], weight was measured objectively in a clinical setting.…”

Section: Resultsmentioning

confidence: 99%

Weight change in control group participants in behavioural weight loss interventions: a systematic review and meta-regression study

Waters

George

Chey

et al. 2012

BMC Med Res Methodol

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BackgroundUnanticipated control group improvements have been observed in intervention trials targeting various health behaviours. This phenomenon has not been studied in the context of behavioural weight loss intervention trials. The purpose of this study is to conduct a systematic review and meta-regression of behavioural weight loss interventions to quantify control group weight change, and relate the size of this effect to specific trial and sample characteristics.MethodsDatabase searches identified reports of intervention trials meeting the inclusion criteria. Data on control group weight change and possible explanatory factors were abstracted and analysed descriptively and quantitatively.Results85 trials were reviewed and 72 were included in the meta-regression. While there was no change in control group weight, control groups receiving usual care lost 1 kg more than control groups that received no intervention, beyond measurement.ConclusionsThere are several possible explanations why control group changes occur in intervention trials targeting other behaviours, but not for weight loss. Control group participation may prevent weight gain, although more research is needed to confirm this hypothesis.

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“…The health care provider can use or refer the patient to strength-building approaches, such as motivational interviewing, that support patients in their decision to adopt a healthy behaviour and then to build or maintain the motivation to meet their goals. Building on the self-efficacy achieved for one behaviour, other behaviours can then be targeted [33,34]. …”

Section: Discussionmentioning

confidence: 99%

Lifestyle factors and multimorbidity: a cross sectional study

et al. 2014

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BackgroundLifestyle factors have been associated mostly with individual chronic diseases. We investigated the relationship between lifestyle factors (individual and combined) and the co-occurrence of multiple chronic diseases.MethodsCross-sectional analysis of results from the Program of Research on the Evolution of a Cohort Investigating Health System Effects (PRECISE) in Quebec, Canada. Subjects aged 45 years and older. A randomly-selected cohort in the general population recruited by telephone. Multimorbidity (3 or more chronic diseases) was measured by a simple count of self-reported chronic diseases from a list of 14. Five lifestyle factors (LFs) were evaluated: 1) smoking habit, 2) alcohol consumption, 3) fruit and vegetable consumption, 4) physical activity, and 5) body mass index (BMI). Each LF was given a score of 1 (unhealthy) if recommended behavioural targets were not achieved and 0 otherwise. The combined effect of unhealthy LFs (ULFs) was evaluated using the total sum of scores.ResultsA total of 1,196 subjects were analyzed. Mean number of ULFs was 2.6 ± 1.1 SD. When ULFs were considered separately, there was an increased likelihood of multimorbidity with low or high BMI [Odd ratio (95% Confidence Interval): men, 1.96 (1.11-3.46); women, 2.57 (1.65-4.00)], and present or past smoker [men, 3.16 (1.74-5.73)]. When combined, in men, 4-5 ULFs increased the likelihood of multimorbidity [5.23 (1.70-16.1)]; in women, starting from a threshold of 2 ULFs [1.95 (1.05-3.62)], accumulating more ULFs progressively increased the likelihood of multimorbidity.ConclusionsThe present study provides support to the association of lifestyle factors and multimorbidity.

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A Cognitive-Behavioral Weight Control Program Improves Eating and Smoking Behaviors in Weight-Concerned Female Smokers

Cited by 30 publications

References 58 publications

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Weight change in control group participants in behavioural weight loss interventions: a systematic review and meta-regression study

Lifestyle factors and multimorbidity: a cross sectional study

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