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The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis

OBJECTIVE: Cancers are one of the most important public health problems in Iran. Because of the importance of cancers, the purpose of the current study was to the prediction of the future incidence of the most common cancers among Iranian military community (MC) by using the time series analysis dur...

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Autores principales: KHOSHDEL, A.R., ALIMOHAMADI, Y., ZIAEI, M., GHAFFARI, H.R., AZADI, S., SEPANDI, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore srl 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797883/
https://www.ncbi.nlm.nih.gov/pubmed/31650063
http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.3.1058
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author KHOSHDEL, A.R.
ALIMOHAMADI, Y.
ZIAEI, M.
GHAFFARI, H.R.
AZADI, S.
SEPANDI, M.
author_facet KHOSHDEL, A.R.
ALIMOHAMADI, Y.
ZIAEI, M.
GHAFFARI, H.R.
AZADI, S.
SEPANDI, M.
author_sort KHOSHDEL, A.R.
collection PubMed
description OBJECTIVE: Cancers are one of the most important public health problems in Iran. Because of the importance of cancers, the purpose of the current study was to the prediction of the future incidence of the most common cancers among Iranian military community (MC) by using the time series analysis during 2007 to 2019. METHODS: In the current cross-sectional study, all registered cancers among Iranian MC entered the study. To select the best model of prediction, various methods including autocorrelation function (ACF), partial autocorrelation function (PACF), and Akaike information criterion (AIC) statistics were used. All analysis was performed by using ITSM, stata14, and Excel2010 software. RESULTS: The most prevalent cancers among Iranian MC were breast, prostate, and colon cancers respectively. The time series analysis was shown that the trend of all mentioned cancers in Iranian MC will increase in the coming years. CONCLUSIONS: The trend of most prevalent cancers among Iranian MC was increasing but the different factors like the growth of population size and improving the registration system should be regarded.
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spelling pubmed-67978832019-10-24 The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis KHOSHDEL, A.R. ALIMOHAMADI, Y. ZIAEI, M. GHAFFARI, H.R. AZADI, S. SEPANDI, M. J Prev Med Hyg Original Article OBJECTIVE: Cancers are one of the most important public health problems in Iran. Because of the importance of cancers, the purpose of the current study was to the prediction of the future incidence of the most common cancers among Iranian military community (MC) by using the time series analysis during 2007 to 2019. METHODS: In the current cross-sectional study, all registered cancers among Iranian MC entered the study. To select the best model of prediction, various methods including autocorrelation function (ACF), partial autocorrelation function (PACF), and Akaike information criterion (AIC) statistics were used. All analysis was performed by using ITSM, stata14, and Excel2010 software. RESULTS: The most prevalent cancers among Iranian MC were breast, prostate, and colon cancers respectively. The time series analysis was shown that the trend of all mentioned cancers in Iranian MC will increase in the coming years. CONCLUSIONS: The trend of most prevalent cancers among Iranian MC was increasing but the different factors like the growth of population size and improving the registration system should be regarded. Pacini Editore srl 2019-09-30 /pmc/articles/PMC6797883/ /pubmed/31650063 http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.3.1058 Text en ©2019 Pacini Editore SRL, Pisa, Italy http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Article
KHOSHDEL, A.R.
ALIMOHAMADI, Y.
ZIAEI, M.
GHAFFARI, H.R.
AZADI, S.
SEPANDI, M.
The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title_full The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title_fullStr The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title_full_unstemmed The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title_short The prediction incidence of the three most common cancers among Iranian military community during 2007-2019: a time series analysis
title_sort prediction incidence of the three most common cancers among iranian military community during 2007-2019: a time series analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797883/
https://www.ncbi.nlm.nih.gov/pubmed/31650063
http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.3.1058
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