Letter to the Editor
Comment in: http://jmir.org/2024/1/e67749/
doi:10.2196/65929
Keywords
We are writing to express our appreciation for the recent publication of the study entitled, “Expectations and Preferences for Digital Cessation Treatment: Multimethods Study Among Older Adults Who Smoke Cigarettes” in the Journal of Medical Internet Research [
]. I commend the authors for their efforts in exploring smoking cessation treatments within the older adult population and appreciate their focus on this often-overlooked demographic group. However, as I perused the article, I had a few concerns and suggestions that I would like to share with the authors and the editorial team to aid in the enhancement of future research.First, the authors selected individuals aged 65 years and older as the focus of their study, specifically exploring their attitudes toward digital smoking cessation interventions. This choice is crucial, as older adults are at higher risk for tobacco-related health issues [
]. However, we believe that expanding the scope of the study to include younger populations, such as middle-aged adults, young adults, and adolescents, is equally important. Younger individuals also need effective smoking cessation tools, and their greater adaptability to digital technologies might allow them to benefit even more [ ]. Future research could consider comparing the effectiveness of digital smoking cessation treatments across different age groups to gain a more comprehensive understanding of their applicability in various populations.Moreover, for older adults with a long history of smoking, quitting can be an exceptionally challenging process. While digital smoking cessation tools offer convenience and accessibility, it remains to be seen whether these tools can effectively help older individuals overcome decades-long nicotine addiction. Future research might consider conducting long-term follow-ups to assess the sustained impact of digital cessation tools on older adults and explore whether they might benefit from additional support, such as in-person counseling or community-based programs, to enhance their chances of successfully quitting smoking.
Older adults in the process of quitting smoking require not only behavioral support but also emotional and social assistance. Whether digital smoking cessation tools can meet these more complex needs remains an open question. As a social worker, I believe that integrating more social and emotional support features into digital platforms, alongside traditional face-to-face counseling, could potentially offer a more comprehensive approach to smoking cessation support.
Overall, this article offers highly valuable insights into smoking cessation approaches for older adults, which can foster further exploration in the field of digital smoking cessation research. We would like to extend our gratitude once again to the authors for their efforts and to the editorial team for providing a platform to publish this important work.
Conflicts of Interest
None declared.
References
- Fahey MC, Carpenter MJ, O'Neal R, Pebley K, Schick MR, Ware E, et al. Expectations and preferences for digital cessation treatment: multimethods study among older adults who smoke cigarettes. J Med Internet Res. Aug 28, 2024;26:e52919. [FREE Full text] [CrossRef] [Medline]
- Schnack H, Griessen R, Lensink J, Wen H-H. Generalized inversion scheme for the determination of activation energies from flux-creep experiments in high-Tc superconductors. Phys Rev B Condens Matter. Nov 01, 1993;48(17):13178-13181. [CrossRef] [Medline]
- Rowley R, Phillips EN, Schroeder AL. The effects of ionizing radiation on DNA synthesis in eukaryotic cells. Int J Radiat Biol. Mar 1999;75(3):267-283. [CrossRef] [Medline]
Edited by T Leung, L Beri; This is a non–peer-reviewed article. submitted 29.08.24; accepted 28.10.24; published 18.11.24.
Copyright©Bin Wei, Xin Hu, XiaoRong Wu. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.11.2024.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.