This paper is in the following e-collection/theme issue:

Demographics of Users, Social & Digital Divide (738) mHealth for Wellness, Behavior Change and Prevention (2865) Smoking Cessation (554) Use and User Demographics of mHealth (335)

Published on in Vol 19, No 8 (2017): August

Smartphone Ownership Among US Adult Cigarette Smokers: 2014 Health Information National Trends Survey (HINTS) Data

Smartphone Ownership Among US Adult Cigarette Smokers: 2014 Health Information National Trends Survey (HINTS) Data

Smartphone Ownership Among US Adult Cigarette Smokers: 2014 Health Information National Trends Survey (HINTS) Data

Authors of this article:

Jaimee L Heffner1 Author Orcid Image ;   Kristin E Mull1 Author Orcid Image
Article Authors Cited by (23) Tweetations (11) Metrics

Journals

  1. Hong Y, Cho J. Assessment of eHealth behaviors in national surveys: a systematic review of instruments. Journal of the American Medical Informatics Association 2018;25(12):1675 View
  2. Bricker J, Watson N, Heffner J, Sullivan B, Mull K, Kwon D, Westmaas J, Ostroff J. A Smartphone App Designed to Help Cancer Patients Stop Smoking: Results From a Pilot Randomized Trial on Feasibility, Acceptability, and Effectiveness. JMIR Formative Research 2020;4(1):e16652 View
  3. Navarro M, O’Brien E, Hoffman L. Cigarette and smokeless tobacco company smartphone applications. Tobacco Control 2019;28(4):462 View
  4. Ali S, Kovatch K, Hwang C, Bohm L, Zopf D, Thorne M. Assessment of Application-Driven Postoperative Care in the Pediatric Tonsillectomy Population. JAMA Otolaryngology–Head & Neck Surgery 2019;145(3):285 View
  5. Heffner J, Watson N, Serfozo E, Mull K, MacPherson L, Gasser M, Bricker J. A Behavioral Activation Mobile Health App for Smokers With Depression: Development and Pilot Evaluation in a Single-Arm Trial. JMIR Formative Research 2019;3(4):e13728 View
  6. Danan E, Fu S, Clothier B, Noorbaloochi S, Hammett P, Widome R, Burgess D. The Equity Impact of Proactive Outreach to Smokers: Analysis of a Randomized Trial. American Journal of Preventive Medicine 2018;55(4):506 View
  7. Heffner J, Catz S, Klasnja P, Tiffany B, McClure J. Development of a Mobile Health Intervention with Personal Experiments for Smokers Who Are Ambivalent About Quitting: Formative Design and Testing. JMIR Formative Research 2020;4(8):e21784 View
  8. Shan R, Ding J, Plante T, Martin S. Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS). Journal of the American Heart Association 2019;8(24) View
  9. Calixte R, Rivera A, Oridota O, Beauchamp W, Camacho-Rivera M. Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2020;17(18):6856 View
  10. Vereen R, Westmaas J, Bontemps-Jones J, Jackson K, Alcaraz K. Trust of Information about Tobacco and E-Cigarettes from Health Professionals versus Tobacco or Electronic Cigarette Companies: Differences by Subgroups and Implications for Tobacco Messaging. Health Communication 2020;35(1):89 View
  11. Al-Ansari A, El Tantawi M, Mehaina M, Alhareky M, Sadaf S, AlHumaid J, AlAgl A, Al-Harbi F. Regional caries data availability in Saudi Arabia: Impact of socioeconomic factors and research potential. The Saudi Dental Journal 2019;31(2):157 View
  12. Shuter J, Kim R, An L, Abroms L. Feasibility of a Smartphone-Based Tobacco Treatment for HIV-Infected Smokers. Nicotine & Tobacco Research 2020;22(3):398 View
  13. O’Brien E, Navarro M, Hoffman L. Mobile website characteristics of leading tobacco product brands: cigarettes, smokeless tobacco, e-cigarettes, hookah and cigars. Tobacco Control 2019;28(5):532 View
  14. Keller P, Lachter R, Lien R, Klein J. Online Versus Telephone Registration: Differences in Quitline Participant Characteristics. American Journal of Preventive Medicine 2021;60(3):S136 View
  15. Lepore S, Collins B, Killam H, Barry B. Supportive Accountability and Mobile App Use in a Tobacco Control Intervention Targeting Low-Income Minority Mothers Who Smoke: Observational Study. JMIR mHealth and uHealth 2021;9(7):e28175 View
  16. Heffner J, Watson N, Serfozo E, Kelly M, Reilly E, Kim D, Baker K, Scout N, Karekla M. An Avatar-Led Digital Smoking Cessation Program for Sexual and Gender Minority Young Adults: Intervention Development and Results of a Single-Arm Pilot Trial. JMIR Formative Research 2021;5(7):e30241 View
  17. Elkefi S, Choudhury A, Strachna O, Asan O. Impact of Health Perception and Knowledge on Genetic Testing Decisions Using the Health Belief Model. JCO Clinical Cancer Informatics 2022;(6) View
  18. Xin M, Mo P, Li J, Liu X, Jiang H, Chen Y, Ma L, Lau J. Smartphone non-users experience disproportionately higher psychological distress than their counterparts: Mediations via psychosocial resources in a large sample of college students in China. Journal of Affective Disorders 2022;296:41 View
  19. Qin L, Zhang X, Wu A, Miser J, Liu Y, Hsu J, Shia B, Ye L. Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study. Journal of Medical Internet Research 2021;23(8):e26395 View
  20. Kim S, Couper M. Feasibility and Quality of a National RDD Smartphone Web Survey: Comparison With a Cell Phone CATI Survey. Social Science Computer Review 2021;39(6):1218 View
  21. Ogbuabor D, Ogbuabor A, Igwe M. Determinants of cigarette smoking and smoking frequency among women of reproductive age in Nigeria: evidence from a nationwide cross-sectional survey. Substance Abuse Treatment, Prevention, and Policy 2023;18(1) View

Books/Policy Documents

  1. Ghorai K, Ray P. Technology Entrepreneurship and Sustainable Development. View