Jessica L King1, Beth A Reboussin2, John Spangler3, Jennifer Cornacchione Ross4, Erin L Sutfin5. 1. Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jlking@wakehealth.edu. 2. Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: brebouss@wakehealth.edu. 3. Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jspangle@wakehealth.edu. 4. Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jcornacc@wakehealth.edu. 5. Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: esutfin@wakehealth.edu.
Abstract
BACKGROUND: Individuals with mental health conditions represent a priority population for tobacco control. This population smokes cigarettes at disproportionately higher rates than the general population, but less is known about the relationship between non-cigarette tobacco use and mental health status. METHOD: In 2013, 2370 young adults recruited from 11 colleges in North Carolina and Virginia completed an online survey on tobacco use. We compared past 6-month self-reported mental health diagnosis, past 30-day depression score, and past 7-day stress score to past 30-day cigarette, e-cigarette, waterpipe, cigar, and smokeless tobacco use. Models adjusted for age, gender, race, ethnicity, and mother's education. Non-cigarette products were also adjusted for past 30-day cigarette use. RESULTS: Among participants, 249 (10.5%) reported a mental health diagnosis, most commonly depression (5.5%), ADHD/ADD (4.5%), and anxiety (0.8%). Those who reported a mental health diagnosis had greater odds of using cigarettes (AOR=1.55; CI=1.01, 2.27). Mean stress score was 16.0 (SD=6.9) of possible 40. Higher stress scale score was associated with increased odds of e-cigarette (AOR=1.03; CI=1.01, 1.05), waterpipe (AOR=1.04; CI=1.01, 1.06), and cigarette (AOR=1.02; CI=1.00, 1.04) use. Mean depression score was 7.2 (SD=5.6) of possible 33. Higher depression scale score was associated with increased odds for e-cigarette (AOR=1.04; CI=1.01, 1.08) and cigarette (AOR=1.03; CI=1.01, 1.06) use. CONCLUSION: Findings in this study provide further evidence of a potential relationship between non-cigarette tobacco products and mental health status. Tobacco control efforts aimed at reducing tobacco use disparities among mental health populations should focus on non-cigarette tobacco products in addition to cigarettes.
BACKGROUND: Individuals with mental health conditions represent a priority population for tobacco control. This population smokes cigarettes at disproportionately higher rates than the general population, but less is known about the relationship between non-cigarette tobacco use and mental health status. METHOD: In 2013, 2370 young adults recruited from 11 colleges in North Carolina and Virginia completed an online survey on tobacco use. We compared past 6-month self-reported mental health diagnosis, past 30-day depression score, and past 7-day stress score to past 30-day cigarette, e-cigarette, waterpipe, cigar, and smokeless tobacco use. Models adjusted for age, gender, race, ethnicity, and mother's education. Non-cigarette products were also adjusted for past 30-day cigarette use. RESULTS: Among participants, 249 (10.5%) reported a mental health diagnosis, most commonly depression (5.5%), ADHD/ADD (4.5%), and anxiety (0.8%). Those who reported a mental health diagnosis had greater odds of using cigarettes (AOR=1.55; CI=1.01, 2.27). Mean stress score was 16.0 (SD=6.9) of possible 40. Higher stress scale score was associated with increased odds of e-cigarette (AOR=1.03; CI=1.01, 1.05), waterpipe (AOR=1.04; CI=1.01, 1.06), and cigarette (AOR=1.02; CI=1.00, 1.04) use. Mean depression score was 7.2 (SD=5.6) of possible 33. Higher depression scale score was associated with increased odds for e-cigarette (AOR=1.04; CI=1.01, 1.08) and cigarette (AOR=1.03; CI=1.01, 1.06) use. CONCLUSION: Findings in this study provide further evidence of a potential relationship between non-cigarette tobacco products and mental health status. Tobacco control efforts aimed at reducing tobacco use disparities among mental health populations should focus on non-cigarette tobacco products in addition to cigarettes.
Authors: Stacey L Blase; Adrianne N Gilbert; Arthur D Anastopoulos; E Jane Costello; Rick H Hoyle; H Scott Swartzwelder; David L Rabiner Journal: J Atten Disord Date: 2009-05-27 Impact factor: 3.256
Authors: Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters Journal: Arch Gen Psychiatry Date: 2005-06
Authors: Thomas A Wills; James D Sargent; Frederick X Gibbons; Ian Pagano; Rebecca Schweitzer Journal: Tob Control Date: 2016-08-19 Impact factor: 7.552
Authors: Cheryl L Perry; MeLisa R Creamer; Benjamin W Chaffee; Jennifer B Unger; Erin L Sutfin; Grace Kong; Ce Shang; Stephanie L Clendennen; Suchitra Krishnan-Sarin; Mary Ann Pentz Journal: Nicotine Tob Res Date: 2020-06-12 Impact factor: 4.244
Authors: Jon E Grant; Katherine Lust; Daniel J Fridberg; Andrea C King; Samuel R Chamberlain Journal: Ann Clin Psychiatry Date: 2019-02 Impact factor: 1.567
Authors: David G Marsden; Alexandra Loukas; Baojiang Chen; Cheryl L Perry; Anna V Wilkinson Journal: Addict Behav Date: 2019-08-02 Impact factor: 3.913
Authors: Erin L Sutfin; Allison J Lazard; Kimberly G Wagoner; Jessica L King; Jennifer Cornacchione Ross; Kimberly D Wiseman; Elizabeth N Orlan; Cynthia K Suerken; David M Reboussin; Mark Wolfson; Seth M Noar; Beth A Reboussin Journal: Health Commun Date: 2021-11-15
Authors: Sam N Cwalina; Lauren R Pacek; Jessica L Barrington-Trimis; Alayna P Tackett; Mary Ann Pentz Journal: Subst Use Misuse Date: 2021-07-29 Impact factor: 2.362
Authors: Xiao Li; Jacob T Borodovsky; Erin Kasson; Nina Kaiser; Raven Riordan; Andrea Fentem; Patricia A Cavazos-Rehg Journal: Prev Med Date: 2021-08-04 Impact factor: 4.018