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A Spatial Study of Head and Neck Cancer Incidence Rate in Fars Province (The South of Iran): 2007-2020 | ||
| Journal of Dentistry | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 23 تیر 1404 اصل مقاله (476.92 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.30476/dentjods.2025.103364.2444 | ||
| نویسندگان | ||
| Sara Maroufi1؛ Fahimeh Rezazadeh* 2؛ Sara Haghighat3؛ Naeimehossadat Asmarian4؛ Alireza Kheiri5؛ Hila Raeisi3؛ Mohammad Afifian3؛ Ardalan Banani3؛ Setare Valanik4 | ||
| 1Postgraduated Student, Dept. of Oral and Maxillofacial Medicine, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
| 2Oral & Dental Disease Research Center, Dept. of Oral and Maxillofacial Medicine, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
| 3Student Research Committee, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
| 4Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
| 5Student research committee, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran | ||
| چکیده | ||
| Background: Head and neck cancers (HNCs) are among the top ten most common cancers globally. There is a clear geographical bias in the prevalence of HNCs. More than two-thirds of HNC cases worldwide occur in low- and middle-income countries. Due to the high prevalence of HNCs in Fars province. Purpose: The purpose of this study was to assess the spatial pattern of HNC incidence rates by modeling both the effects of spatial dependence between neighboring regions and risk factors in a Bayesian Poisson model (BYM). Materials and Method: From the Center of Cancer Registry in Fars province, data was collected from 1,821 patients diagnosed with HNC. The effects of spatial structure were modeled in a Bayesian spatiotemporal hierarchical model to determine the relative risk and trend of HNC incidence rates. The maps were created geographical variations of HNCs incidence across the 29 counties of the province with classical Standardized Incidence Rate (SIR), BYM model, and spatiotemporal model. Results: The highest crude incidence rates were 0.55 and 0.16 cases per 1,000-person population for HNC and squamous cell carcinoma (SCC), respectively. Spatially, the highest relative risks for HNC and SCC were estimated at 1.36 and 1.34, respectively, in the county of Shiraz, the capital of Fars province. The lowest relative risks for HNC and SCC were estimated at 0.39 and 0.46 per 1,000 persons, respectively, in Gerash County in southern Fars. The findings showed an increasing trend in the HNC incidence rate and a decreasing trend in SCC incidence in this province. Conclusion: Spatial analysis of HNCs revealed a high incidence rate in the northern and northeastern parts of Fars province, which may be attributed to the effects of lifestyle factors and certain pollutants in the region's cold air. | ||
| کلیدواژه‌ها | ||
| Spatio-temporal analysis؛ Head and neck cancers؛ Incidence؛ Epidemiology؛ Squamous cell carcinoma؛ Iran | ||
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آمار تعداد مشاهده مقاله: 3 |
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