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Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial
OBJECTIVES: The study objective was to test the effectiveness of a photoaging software (APRILAGE(©)) intervention based on personalized, vivid illustrations of “smoker's face” among smokers aged 18–24 years of age in Bhubaneswar city through a self-structured questionnaire. MATERIALS AND METHOD...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877435/ https://www.ncbi.nlm.nih.gov/pubmed/33623217 http://dx.doi.org/10.4103/ijcm.IJCM_56_20 |
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author | Jnaneswar, Avinash Jha, Kunal Barman, Diplina Singh, Arpita Pathak, Mona Kumar, Gunjan |
author_facet | Jnaneswar, Avinash Jha, Kunal Barman, Diplina Singh, Arpita Pathak, Mona Kumar, Gunjan |
author_sort | Jnaneswar, Avinash |
collection | PubMed |
description | OBJECTIVES: The study objective was to test the effectiveness of a photoaging software (APRILAGE(©)) intervention based on personalized, vivid illustrations of “smoker's face” among smokers aged 18–24 years of age in Bhubaneswar city through a self-structured questionnaire. MATERIALS AND METHODS: A total of 204 engineering college students were randomized into two groups: intervention and control. A self-structured questionnaire in the form of Google Form was distributed among the participants. The study group participants were photographed using Aprilage(®) Software. Follow-up data were collected using the same questionnaire at 1-month and 3-month intervals. Statistical Analysis was done using STATA 15 software. Descriptive statistics and the relation between the dependent and independent variables were done using the nonparametric tests of significance. The probability value was kept at 0.05. RESULTS: Significant reduction in nicotine dependency, was seen in 64.36% of the study population (P < 0.0001). There was a shift from severely dependent group to moderately or low dependence group in 33% of the study occupants. CONCLUSION: Aging software intervention is contemporary, congenial, and admissible and can be espoused to educate youngsters along with the conventional motivational methods. This method successfully delivers smoking cessation advice to young adults. This novel approach can be implemented in motivating young smokers to quit smoking. |
format | Online Article Text |
id | pubmed-7877435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-78774352021-02-22 Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial Jnaneswar, Avinash Jha, Kunal Barman, Diplina Singh, Arpita Pathak, Mona Kumar, Gunjan Indian J Community Med Original Article OBJECTIVES: The study objective was to test the effectiveness of a photoaging software (APRILAGE(©)) intervention based on personalized, vivid illustrations of “smoker's face” among smokers aged 18–24 years of age in Bhubaneswar city through a self-structured questionnaire. MATERIALS AND METHODS: A total of 204 engineering college students were randomized into two groups: intervention and control. A self-structured questionnaire in the form of Google Form was distributed among the participants. The study group participants were photographed using Aprilage(®) Software. Follow-up data were collected using the same questionnaire at 1-month and 3-month intervals. Statistical Analysis was done using STATA 15 software. Descriptive statistics and the relation between the dependent and independent variables were done using the nonparametric tests of significance. The probability value was kept at 0.05. RESULTS: Significant reduction in nicotine dependency, was seen in 64.36% of the study population (P < 0.0001). There was a shift from severely dependent group to moderately or low dependence group in 33% of the study occupants. CONCLUSION: Aging software intervention is contemporary, congenial, and admissible and can be espoused to educate youngsters along with the conventional motivational methods. This method successfully delivers smoking cessation advice to young adults. This novel approach can be implemented in motivating young smokers to quit smoking. Wolters Kluwer - Medknow 2020 2020-10-28 /pmc/articles/PMC7877435/ /pubmed/33623217 http://dx.doi.org/10.4103/ijcm.IJCM_56_20 Text en Copyright: © 2020 Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Jnaneswar, Avinash Jha, Kunal Barman, Diplina Singh, Arpita Pathak, Mona Kumar, Gunjan Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title | Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title_full | Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title_fullStr | Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title_full_unstemmed | Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title_short | Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial |
title_sort | software intervention in smoking cessation among engineering students in bhubaneswar city: a randomized controlled trial |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877435/ https://www.ncbi.nlm.nih.gov/pubmed/33623217 http://dx.doi.org/10.4103/ijcm.IJCM_56_20 |
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