Andrea H Weinberger1, Michael O Chaiton2, Jiaqi Zhu3, Melanie M Wall4, Deborah S Hasin5, Renee D Goodwin6. 1. Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York; Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York. 2. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 3. Department of Epidemiology & Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, New York. 4. Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York; Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York; New York State Psychiatric Institute, New York, New York. 5. Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York; New York State Psychiatric Institute, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York. 6. Department of Epidemiology & Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York. Electronic address: renee.goodwin@sph.cunuy.edu.
Abstract
INTRODUCTION: Cigarette smoking remains more common among individuals with depression. This study investigates whether cigarette quit ratios and cigarette use prevalence have changed differentially by depression status during the past decade. METHODS: National Survey on Drug Use and Health data (2005-2017) were analyzed in 2019. Respondents aged ≥12 years were included in analyses of smoking prevalence (n=728,691) and respondents aged ≥26 years were included in analyses of quit ratio (n=131,412). Time trends in smoking prevalence (current, daily, and nondaily) and quit ratio (former/lifetime smokers) were estimated, stratified by past-year depression. Adjusted analyses controlled for demographics. RESULTS: Smoking prevalence was consistently higher among those with depression than those without depression. From 2005 to 2017, nondaily smoking did not significantly change among individuals with depression (9.25% to 9.40%; AOR=0.995, 95% CI=0.986, 1.005), whereas it decreased from 7.02% to 5.85% among those without depression (AOR=0.986, 95% CI=0.981, 0.990). By contrast, daily smoking declined among individuals with (25.21% to 15.11%; AOR=0.953, 95% CI=0.945, 0.962) and without depression (14.94% to 9.76%; AOR=0.970, 95% CI=0.967, 0.973). The quit ratio increased among individuals with (28.61% to 39.75%; AOR=1.036, 95% CI=1.021, 1.052) and without depression (47.65% to 53.09%; AOR=1.013, 95% CI=1.009, 1.017), yet quit ratios were consistently lower for those with depression than those without depression. CONCLUSIONS: Quit ratios are increasing and smoking prevalence is decreasing overall, yet disparities by depression status remain significant. Disparities in quit ratio may be one contributing factor to the elevated prevalence of smoking among those with depression. Innovative tobacco control approaches for people with depression appear long overdue.
INTRODUCTION: Cigarette smoking remains more common among individuals with depression. This study investigates whether cigarette quit ratios and cigarette use prevalence have changed differentially by depression status during the past decade. METHODS: National Survey on Drug Use and Health data (2005-2017) were analyzed in 2019. Respondents aged ≥12 years were included in analyses of smoking prevalence (n=728,691) and respondents aged ≥26 years were included in analyses of quit ratio (n=131,412). Time trends in smoking prevalence (current, daily, and nondaily) and quit ratio (former/lifetime smokers) were estimated, stratified by past-year depression. Adjusted analyses controlled for demographics. RESULTS: Smoking prevalence was consistently higher among those with depression than those without depression. From 2005 to 2017, nondaily smoking did not significantly change among individuals with depression (9.25% to 9.40%; AOR=0.995, 95% CI=0.986, 1.005), whereas it decreased from 7.02% to 5.85% among those without depression (AOR=0.986, 95% CI=0.981, 0.990). By contrast, daily smoking declined among individuals with (25.21% to 15.11%; AOR=0.953, 95% CI=0.945, 0.962) and without depression (14.94% to 9.76%; AOR=0.970, 95% CI=0.967, 0.973). The quit ratio increased among individuals with (28.61% to 39.75%; AOR=1.036, 95% CI=1.021, 1.052) and without depression (47.65% to 53.09%; AOR=1.013, 95% CI=1.009, 1.017), yet quit ratios were consistently lower for those with depression than those without depression. CONCLUSIONS: Quit ratios are increasing and smoking prevalence is decreasing overall, yet disparities by depression status remain significant. Disparities in quit ratio may be one contributing factor to the elevated prevalence of smoking among those with depression. Innovative tobacco control approaches for people with depression appear long overdue.
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