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Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis
BACKGROUND: Even though oral cavity cancer (OCC; ICD 10 codes C01, C02, C03, C04, C05, and C06) ranks eleventh among the world’s most common cancers, accounting for approximately 2 % of all cancers, a trend analysis of OCC in Hong Kong is lacking. Hong Kong has experienced rapid economic growth with...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513384/ https://www.ncbi.nlm.nih.gov/pubmed/26205649 http://dx.doi.org/10.1186/s12903-015-0074-y |
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author | Ushida, Keisuke McGrath, Colman P Lo, Edward C M Zwahlen, Roger A |
author_facet | Ushida, Keisuke McGrath, Colman P Lo, Edward C M Zwahlen, Roger A |
author_sort | Ushida, Keisuke |
collection | PubMed |
description | BACKGROUND: Even though oral cavity cancer (OCC; ICD 10 codes C01, C02, C03, C04, C05, and C06) ranks eleventh among the world’s most common cancers, accounting for approximately 2 % of all cancers, a trend analysis of OCC in Hong Kong is lacking. Hong Kong has experienced rapid economic growth with socio-cultural and environmental change after the Second World War. This together with the collected data in the cancer registry provides interesting ground for an epidemiological study on the influence of socio-cultural and environmental factors on OCC etiology. METHODS: A multidirectional statistical analysis of the OCC trends over the past 25 years was performed using the databases of the Hong Kong Cancer Registry. The age, period, and cohort (APC) modeling was applied to determine age, period, and cohort effects on OCC development. Joinpoint regression analysis was used to find secular trend changes of both age-standardized and age-specific incidence rates. RESULTS: The APC model detected that OCC development in men was mainly dominated by the age effect, whereas in women an increasing linear period effect together with an age effect became evident. The joinpoint regression analysis showed a general downward trend of age-standardized incidence rates of OCC for men during the entire investigated period, whereas women demonstrated a significant upward trend from 2001 onwards. CONCLUSIONS: The results suggest that OCC incidence in Hong Kong appears to be associated with cumulative risk behaviors of the population, despite considerable socio-cultural and environmental changes after the Second World War. |
format | Online Article Text |
id | pubmed-4513384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45133842015-07-25 Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis Ushida, Keisuke McGrath, Colman P Lo, Edward C M Zwahlen, Roger A BMC Oral Health Research Article BACKGROUND: Even though oral cavity cancer (OCC; ICD 10 codes C01, C02, C03, C04, C05, and C06) ranks eleventh among the world’s most common cancers, accounting for approximately 2 % of all cancers, a trend analysis of OCC in Hong Kong is lacking. Hong Kong has experienced rapid economic growth with socio-cultural and environmental change after the Second World War. This together with the collected data in the cancer registry provides interesting ground for an epidemiological study on the influence of socio-cultural and environmental factors on OCC etiology. METHODS: A multidirectional statistical analysis of the OCC trends over the past 25 years was performed using the databases of the Hong Kong Cancer Registry. The age, period, and cohort (APC) modeling was applied to determine age, period, and cohort effects on OCC development. Joinpoint regression analysis was used to find secular trend changes of both age-standardized and age-specific incidence rates. RESULTS: The APC model detected that OCC development in men was mainly dominated by the age effect, whereas in women an increasing linear period effect together with an age effect became evident. The joinpoint regression analysis showed a general downward trend of age-standardized incidence rates of OCC for men during the entire investigated period, whereas women demonstrated a significant upward trend from 2001 onwards. CONCLUSIONS: The results suggest that OCC incidence in Hong Kong appears to be associated with cumulative risk behaviors of the population, despite considerable socio-cultural and environmental changes after the Second World War. BioMed Central 2015-07-24 /pmc/articles/PMC4513384/ /pubmed/26205649 http://dx.doi.org/10.1186/s12903-015-0074-y Text en © Ushida et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ushida, Keisuke McGrath, Colman P Lo, Edward C M Zwahlen, Roger A Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title | Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title_full | Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title_fullStr | Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title_full_unstemmed | Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title_short | Oral cavity cancer trends over the past 25 years in Hong Kong: a multidirectional statistical analysis |
title_sort | oral cavity cancer trends over the past 25 years in hong kong: a multidirectional statistical analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513384/ https://www.ncbi.nlm.nih.gov/pubmed/26205649 http://dx.doi.org/10.1186/s12903-015-0074-y |
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