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dc.contributor.authorGhelichkhani, P
dc.contributor.authorBaikpour, M
dc.contributor.authorMohammad, K
dc.contributor.authorRahim Fattah, FH
dc.contributor.authorRezaei, N
dc.contributor.authorAhmadi, N
dc.contributor.authorDarvish Noori Kalaki, S
dc.contributor.authorGubari, MIM
dc.contributor.authorRafei, A
dc.contributor.authorKoohpayehzadeh, J
dc.contributor.authorGouya, MM
dc.contributor.authorYousefifard, M
dc.contributor.authorJones, ME
dc.contributor.authorHosseini, M
dc.coverage.spatialIran
dc.date.accessioned2022-09-01T09:29:41Z
dc.date.available2022-09-01T09:29:41Z
dc.date.issued2021-01-01
dc.identifier.citationArchives of Iranian Medicine, 2021, 24 (1), pp. 7 - 14en_US
dc.identifier.issn1029-2977
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5365
dc.identifier.eissn1735-3947
dc.identifier.eissn1735-3947
dc.identifier.doi10.34172/aim.2021.02
dc.description.abstractBACKGROUND: Current and daily smoking prevalence rates have been have investigated in several cross-sectional studies. However, analyses in terms of age-period-cohort (APC) have not been carried out. We assessed daily smoking dynamics over a 25-year period using the APC model. METHODS: In our analyses, we used data from 214,652 people aged 15 to 64 years, collected by national health surveys conducted in 1990-1991, 1999, 2005, 2007, 2011 and 2016. The Intrinsic Estimator model was used to analyze the impact of APC on daily smoking prevalence. RESULTS: Males were found to exhibit a higher prevalence of smoking compared to females (26.0% against 2.7%). Prevalence of smoking increased by age, peaking at the age groups of 40-44 in men and 45-49 in women, followed by a decreasing trend. The 1990 period had the highest prevalence in both genders, and the 2016 period had the lowest. The coefficients of birth cohort effects showed different patter19s of fluctuations in the two genders with the maximum and minimum coefficients for men calculated in the 1966-1970 and 1991-95 birth cohorts, and for females the 1931-1935 and 1971-1975 birth cohorts, respectively. CONCLUSION: We showed the impact of APC on daily tobacco smoking prevalence, and these factors should be considered when dealing with smoking.
dc.formatElectronic
dc.format.extent7 - 14
dc.languageeng
dc.language.isoengen_US
dc.publisherACAD MEDICAL SCIENCES I R IRANen_US
dc.relation.ispartofArchives of Iranian Medicine
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectAge-period-cohort analysis
dc.subjectIran
dc.subjectSmoking
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAge Distribution
dc.subjectFemale
dc.subjectHealth Surveys
dc.subjectHumans
dc.subjectIran
dc.subjectLongitudinal Studies
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectPrevalence
dc.subjectSex Distribution
dc.subjectTobacco Smoking
dc.subjectYoung Adult
dc.titleAge, Period and Cohort Analysis of Smoking Prevalence in Iranian Population over a 25-Year Period.en_US
dc.typeJournal Article
dcterms.dateAccepted2020-11-18
dc.date.updated2022-09-01T09:28:54Z
rioxxterms.versionVoRen_US
rioxxterms.versionofrecord10.34172/aim.2021.02en_US
rioxxterms.licenseref.startdate2021-01-01
rioxxterms.typeJournal Article/Reviewen_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33588562
pubs.issue1
pubs.notesGhelichkhani, Parisa Baikpour, Masoud Mohammad, Kazem Rahim Fattah, Fattah Hama Rezaei, Nazila Ahmadi, Naser Darvish Noori Kalaki, Simin Gubari, Mohammed I M Rafei, Ali Koohpayehzadeh, Jalil Gouya, Mohammad Mehdi Yousefifard, Mahmoud Jones, Michael E Hosseini, Mostafa eng Research Support, Non-U.S. Gov't Iran Arch Iran Med. 2021 Jan 1;24(1):7-14. doi: 10.34172/aim.2021.02. BACKGROUND: Current and daily smoking prevalence rates have been have investigated in several cross-sectional studies. However, analyses in terms of age-period-cohort (APC) have not been carried out. We assessed daily smoking dynamics over a 25-year period using the APC model. METHODS: In our analyses, we used data from 214,652 people aged 15 to 64 years, collected by national health surveys conducted in 1990-1991, 1999, 2005, 2007, 2011 and 2016. The Intrinsic Estimator model was used to analyze the impact of APC on daily smoking prevalence. RESULTS: Males were found to exhibit a higher prevalence of smoking compared to females (26.0% against 2.7%). Prevalence of smoking increased by age, peaking at the age groups of 40-44 in men and 45-49 in women, followed by a decreasing trend. The 1990 period had the highest prevalence in both genders, and the 2016 period had the lowest. The coefficients of birth cohort effects showed different patter19s of fluctuations in the two genders with the maximum and minimum coefficients for men calculated in the 1966-1970 and 1991-95 birth cohorts, and for females the 1931-1935 and 1971-1975 birth cohorts, respectively. CONCLUSION: We showed the impact of APC on daily tobacco smoking prevalence, and these factors should be considered when dealing with smoking.
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.publication-statusPublished online
pubs.volume24
icr.researchteamAetiological Epidemiologyen_US
dc.contributor.icrauthorJones, Michael
icr.provenanceDeposited by Mr Arek Surman on 2022-09-01. Deposit type is initial. No. of files: 1. Files: end.2009.0161.pdf


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