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Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?

BACKGROUND & OBJECTIVE: In the local setting, the prevalence of smoking among adolescents varies, as it is based only on self-reporting without biomarker validation. The objective of the present study was to determine the accuracy of self-reported smoking among adolescents as compared to that of...

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Autores principales: Manan, Norfazillah Ab, Nawi, Azmawati Mohammed, Ahmad, Norfazilah, Hassan, Mohd Rohaizat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: King Faisal Specialist Hospital and Research Centre 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335823/
https://www.ncbi.nlm.nih.gov/pubmed/32642541
http://dx.doi.org/10.1016/j.ijpam.2019.08.001
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author Manan, Norfazillah Ab
Nawi, Azmawati Mohammed
Ahmad, Norfazilah
Hassan, Mohd Rohaizat
author_facet Manan, Norfazillah Ab
Nawi, Azmawati Mohammed
Ahmad, Norfazilah
Hassan, Mohd Rohaizat
author_sort Manan, Norfazillah Ab
collection PubMed
description BACKGROUND & OBJECTIVE: In the local setting, the prevalence of smoking among adolescents varies, as it is based only on self-reporting without biomarker validation. The objective of the present study was to determine the accuracy of self-reported smoking among adolescents as compared to that of the urine cotinine strip test. METHODS: We performed a cross-sectional study of 314 adolescents aged 16 years from February 2015 to April 2015 in Putrajaya, Malaysia. The accuracy of self-reporting was assessed using a data collection sheet and was validated by the urine cotinine strip test. Three schools were chosen by the simple random method, where all Form 4 students constituted the sample unit. The kappa statistic was used for determining agreement between self-reporting and urine cotinine strip testing. RESULTS: There was a substantial agreement between self-reporting and the urine cotinine strip test (kappa = 0.757, 95% confidence interval [CI]: 0.63, 0.88); there was 95.86% overall agreement. The prevalence of self-reported smoking was 8% (95% CI: 7.47, 8.53) and that of urine cotinine strip testing was 10.8% (95% CI: 10.20, 11.41). There was a discrepancy with the results of the urine cotinine strip test in 8% of self-reported smokers and 3.8% of self-reported nonsmokers. Self-reporting had 67.6% sensitivity and 99.3% specificity as compared to those of urine cotinine strip testing and had 92% positive predictive value and 96.2% negative predictive value. CONCLUSION: Self-reporting can be used to assess smoking status but should be used with care among adolescents. Urine cotinine strip test validation of self-reporting enables the measurement of the true prevalence of smoking among adolescents.
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spelling pubmed-73358232020-07-07 Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test? Manan, Norfazillah Ab Nawi, Azmawati Mohammed Ahmad, Norfazilah Hassan, Mohd Rohaizat Int J Pediatr Adolesc Med Article BACKGROUND & OBJECTIVE: In the local setting, the prevalence of smoking among adolescents varies, as it is based only on self-reporting without biomarker validation. The objective of the present study was to determine the accuracy of self-reported smoking among adolescents as compared to that of the urine cotinine strip test. METHODS: We performed a cross-sectional study of 314 adolescents aged 16 years from February 2015 to April 2015 in Putrajaya, Malaysia. The accuracy of self-reporting was assessed using a data collection sheet and was validated by the urine cotinine strip test. Three schools were chosen by the simple random method, where all Form 4 students constituted the sample unit. The kappa statistic was used for determining agreement between self-reporting and urine cotinine strip testing. RESULTS: There was a substantial agreement between self-reporting and the urine cotinine strip test (kappa = 0.757, 95% confidence interval [CI]: 0.63, 0.88); there was 95.86% overall agreement. The prevalence of self-reported smoking was 8% (95% CI: 7.47, 8.53) and that of urine cotinine strip testing was 10.8% (95% CI: 10.20, 11.41). There was a discrepancy with the results of the urine cotinine strip test in 8% of self-reported smokers and 3.8% of self-reported nonsmokers. Self-reporting had 67.6% sensitivity and 99.3% specificity as compared to those of urine cotinine strip testing and had 92% positive predictive value and 96.2% negative predictive value. CONCLUSION: Self-reporting can be used to assess smoking status but should be used with care among adolescents. Urine cotinine strip test validation of self-reporting enables the measurement of the true prevalence of smoking among adolescents. King Faisal Specialist Hospital and Research Centre 2020-06 2019-08-10 /pmc/articles/PMC7335823/ /pubmed/32642541 http://dx.doi.org/10.1016/j.ijpam.2019.08.001 Text en © 2019 Publishing services provided by Elsevier B.V. on behalf of King Faisal Specialist Hospital & Research Centre (General Organization), Saudi Arabia. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Manan, Norfazillah Ab
Nawi, Azmawati Mohammed
Ahmad, Norfazilah
Hassan, Mohd Rohaizat
Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title_full Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title_fullStr Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title_full_unstemmed Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title_short Self-reported smoking among adolescents: How accurate is it with the urine cotinine strip test?
title_sort self-reported smoking among adolescents: how accurate is it with the urine cotinine strip test?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335823/
https://www.ncbi.nlm.nih.gov/pubmed/32642541
http://dx.doi.org/10.1016/j.ijpam.2019.08.001
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