THE ASSOCIATION BETWEEN SMOKING STATUS AND QUALITY OF LIFE- FACTORING IN LIFESTYLE VARIABLES

Author(s)

Brown B, Nduaguba SO, Rascati K, Ford K
The University of Texas at Austin, Austin, TX, USA

OBJECTIVES: Smoking status, which has been shown to be associated with quality of life (QoL), may be associated with other lifestyle factors. Yet, most studies assessing the relationship between smoking status and QoL fail to account for other health-related lifestyle factors. This study’s objectives were to assess 1) the relationship between smoking status and other health-related lifestyle factors (flu vaccination, alcohol use, and physical activity) and 2) how these factors affect model fit. METHODS: Data were extracted from the 2014 Behavioral Risk Factor Surveillance Survey dataset (N=332,680). Chi-square was used to address the first objective. For the second objective, quality of life, measured using eight domains (general health, physical health, mental health, activity limitations, pain, depressive symptoms, anxiety, and vitality) dichotomized into frequent positive (≥14 days/month) and negative (<14 days/month) experience was regressed on smoking status controlling for age, race, gender, education, marital status, income, employment, healthcare coverage, comorbidity, and body mass index (Model 1). Lifestyle factors were included in a second model. RESULTS: Compared to non-smokers and current smokers, former smokers were more likely to have at least one chronic condition (p<0.001) and get a flu vaccination (p<0.001). However, non-smokers were more likely to have avoided alcohol (p<0.001) and engaged in physical activity in the past month (p<0.001). For all eight QoL measures, Model 2 fit significantly better than Model 1 (p<0.001). The relationship between smoking status and QoL remained in model 2 with the odds of frequent positive experience being significantly lower for smokers on all QoL measures except vitality (p<0.001) and significantly lower on general, physical, and mental health for former smokers (p<0.05), compared to non-smokers. CONCLUSIONS: Further research is needed to determine if the decision to quit smoking coincides with the decision to make other lifestyle changes as this might suggest the need for more comprehensive smoking cessation programs.

Conference/Value in Health Info

2016-05, ISPOR 2016, Washington DC, USA

Value in Health, Vol. 19, No. 3 (May 2016)

Code

PRS46

Topic

Patient-Centered Research

Topic Subcategory

Patient-reported Outcomes & Quality of Life Outcomes

Disease

Multiple Diseases

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