Identification of Main Patterns in The Incidence of Gynecological Cancers Amongst the Provinces in Iran
Abstract
Introduction: Study of cancer incidence trends can provide better insight for decision-making and considering necessary interventions. The current study was focused on investigating the main patterns in the incidence of gynecological cancers among the provinces of Iran during the last decades.
Methods: We carried out an applied longitudinal study through the growth mixture model (GMM), with a concentration on the trajectory of incidence rates. Information about the rate of gynecological cancer incidence (per 100,000) in 31 provinces of Iran during the 1990-2016 period was extracted from the Data Visualization System. Taking into account the p-value of the likelihood ratio test (LRT), the number of main patterns was estimated by Mplus 7.4 software.
Results: Tehran province with the incidence of 2.00 per 100,000 was in the first rank in 1990, while in 2016 the highest rate was observed in Yazd province with 9.38 cases. Five main patterns were determined based on LRT. Tehran and Yazd provinces showed the sharpest rise, while Khuzestan, Fars, Esfahan, Semnan, East Azerbaijan, Razavi Khorasan, and Mazandaran provinces belonged to the pattern with a moderate-to-highrising trend. 10 provinces including Kerman, Kurdistan, Gilan, Lorestan, Alborz, Hamedan, Kermanshah, Markazi, Ardabil, and West Azerbaijan were on the other hand categorized in the moderate-rising trend. Sistan and Baluchestan and Hormozgan provinces had a slow-rising pattern, and finally, the remaining 10 provinces had the pattern with a slow-to-moderate upward trajectory.
Conclusion: Due to the considerable rising trend in most provinces in Iran, taking urgent and effective preventive actions seems necessary.
2. Almasi-Hashiani A, Farahmand M. Trend of incidence rate for female genital cancers based on cancer registry data in Fars province during 2003-2009. KAUMS Journal (FEYZ). 2012;16(4):353-60.
3. Momtahen S, Kadivar M, Kazzazi A, Gholipour F. Assessment of gynecologic malignancies: A multi-center study in Tehran (1995-2005). Indian journal of cancer. 2009;46(3):226.
4. Raei M, Schmid VJ, Moayyed M, Mahaki B. Spatio-temporal pattern of two common cancers among Iranian women: An adaptive smoothing model. JBUON. 2019(3):1268-75.
5. Vafaeinezhad Z, Kazemi Z, Mirmoeini M, Piroti H, Sadeghian E, Mohammad AliVajari M, et al. Trends in cervical cancer incidence in Iran according to national cancer registry. Journal of Mazandaran University of Medical Sciences. 2018;28(161):108-14.
6. Arab M, Khayamzadeh M, Tehranian A, Tabatabaeefar M, Hosseini M, Anbiaee R, et al. Incidence rate of ovarian cancer in Iran in comparison with developed countries. Indian journal of cancer. 2010;47(3):322.
7. Maliheh A, Noghabaei G. Comparison of age-standard incidence rate trends of gynecologic and breast cancer in Iran and other countries. Iranian journal of public health. 2014;43(10):1372.
8. Fattahi N, Azadnajafabad S, Mohammadi E, Aminorroaya A, Rezaei S, Ghasemi E, et al. Geographical, gender and age inequalities in non-communicable diseases both at national and provincial levels in Iran. Journal of Diabetes & Metabolic Disorders. 2021:1-7.
9. Bahabin Boroujeni M, Mehrabani K, Raeisi Shahraki H. Clustering Trend Changes of Lung Cancer Incidence in Europe via the Growth Mixture Model during 1990–2016. Journal of Environmental and Public Health. 2021;2021.
10. Mardani G, Faradonbeh MA, Kelishadrokhi ZF, Shahraki HR. Modeling trend changes of mean annual exposure to PM 2.5 particles in the Middle East countries via growth mixture models. Arabian Journal of Geosciences. 2021;14(7):1-6.
11. Mokhtari AM, Riahi S, Fathalipour M, Delam H, Hashemnejad M, Hassanipour S. The age-standardized rate of female genital cancers in Iran: a systematic review and meta-analysis. Journal of hayat. 2018;24(3):204-19.
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Issue | Vol 7 No 3 (2021) | |
Section | Original Article(s) | |
DOI | https://doi.org/10.18502/jbe.v7i3.7296 | |
Keywords | ||
Gynecological cancers Incidence Iran Trend |
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