Space-Time Clustering and Seasonality in Diagnosing Skin Cancers in Wallonia (South-East Belgium)
Background: In Westernized populations, the number of diagnosed cases of primary cutaneous cancers, particularly malignant melanomas and basal cell carcinomas (BCC), has been previously shown to fluctuate during specific periods of the year. Objective and Method: The aim of the present 6-year study...
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| Veröffentlicht in: | Dermatology (Basel) 2008-01, Vol.217 (1), p.48-51 |
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| description | Background: In Westernized populations, the number of diagnosed cases of primary cutaneous cancers, particularly malignant melanomas and basal cell carcinomas (BCC), has been previously shown to fluctuate during specific periods of the year. Objective and Method: The aim of the present 6-year study was to explore the seasonality if any in skin cancer detection in Wallonia (south-east Belgium). Results: For both malignant melanomas and BCC late spring/early summer and mid-autumn were the periods of highest diagnosis prevalence irrespective of gender. The amplitude of this bimodal evolution remained within the range of 2 standard deviations around the monthly means. Similar seasonal variations were also found in non-neoplastic controls consisting of laboratory samplings of onychomycoses and non-infectious onychodystrophies. Conclusion: There is reason to believe that this timing and rhythm is unrelated to any specific cancer chronomics. Rather, the present findings suggest unspecific seasonality in diagnosing skin disorders including malignancies. A variable patient awareness of changing aspects of the skin according to seasons probably represents the major influence of the described space-time clustering of skin cancer diagnosis. |
| doi_str_mv | 10.1159/000121853 |
| format | Article |
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Objective and Method: The aim of the present 6-year study was to explore the seasonality if any in skin cancer detection in Wallonia (south-east Belgium). Results: For both malignant melanomas and BCC late spring/early summer and mid-autumn were the periods of highest diagnosis prevalence irrespective of gender. The amplitude of this bimodal evolution remained within the range of 2 standard deviations around the monthly means. Similar seasonal variations were also found in non-neoplastic controls consisting of laboratory samplings of onychomycoses and non-infectious onychodystrophies. Conclusion: There is reason to believe that this timing and rhythm is unrelated to any specific cancer chronomics. Rather, the present findings suggest unspecific seasonality in diagnosing skin disorders including malignancies. A variable patient awareness of changing aspects of the skin according to seasons probably represents the major influence of the described space-time clustering of skin cancer diagnosis.</description><identifier>ISSN: 1018-8665</identifier><identifier>ISSN: 1421-9832</identifier><identifier>EISSN: 1421-9832</identifier><identifier>DOI: 10.1159/000121853</identifier><identifier>PMID: 18367841</identifier><language>eng</language><publisher>Basel, Switzerland: Karger</publisher><subject>Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Belgium - epidemiology ; Biological and medical sciences ; Chronobiology Phenomena ; Clinical and Laboratory Studies ; Dermatologie ; Dermatology ; Epidemiology ; Female ; General aspects ; Human health sciences ; Humans ; Male ; Medical diagnosis ; Medical sciences ; Melanoma - diagnosis ; Melanoma - epidemiology ; Melanoma/diagnosis/epidemiology ; Middle Aged ; Nail Diseases - diagnosis ; Nail Diseases - epidemiology ; Nail Diseases/diagnosis/epidemiology ; Neoplasms, Basal Cell - diagnosis ; Neoplasms, Basal Cell - epidemiology ; Neoplasms, Basal Cell/diagnosis/epidemiology ; Prevalence ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Regions ; Retrospective Studies ; Sciences de la santé humaine ; Seasons ; Sex Factors ; Skin cancer ; Skin Neoplasms - diagnosis ; Skin Neoplasms - epidemiology ; Skin Neoplasms/diagnosis/epidemiology ; Space-Time Clustering ; Tumors of the skin and soft tissue. Premalignant lesions</subject><ispartof>Dermatology (Basel), 2008-01, Vol.217 (1), p.48-51</ispartof><rights>2008 S. Karger AG, Basel</rights><rights>2008 INIST-CNRS</rights><rights>Copyright 2008 S. Karger AG, Basel.</rights><rights>Copyright (c) 2008 S. 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Objective and Method: The aim of the present 6-year study was to explore the seasonality if any in skin cancer detection in Wallonia (south-east Belgium). Results: For both malignant melanomas and BCC late spring/early summer and mid-autumn were the periods of highest diagnosis prevalence irrespective of gender. The amplitude of this bimodal evolution remained within the range of 2 standard deviations around the monthly means. Similar seasonal variations were also found in non-neoplastic controls consisting of laboratory samplings of onychomycoses and non-infectious onychodystrophies. Conclusion: There is reason to believe that this timing and rhythm is unrelated to any specific cancer chronomics. Rather, the present findings suggest unspecific seasonality in diagnosing skin disorders including malignancies. A variable patient awareness of changing aspects of the skin according to seasons probably represents the major influence of the described space-time clustering of skin cancer diagnosis.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Belgium - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Chronobiology Phenomena</subject><subject>Clinical and Laboratory Studies</subject><subject>Dermatologie</subject><subject>Dermatology</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Human health sciences</subject><subject>Humans</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical sciences</subject><subject>Melanoma - diagnosis</subject><subject>Melanoma - epidemiology</subject><subject>Melanoma/diagnosis/epidemiology</subject><subject>Middle Aged</subject><subject>Nail Diseases - diagnosis</subject><subject>Nail Diseases - epidemiology</subject><subject>Nail Diseases/diagnosis/epidemiology</subject><subject>Neoplasms, Basal Cell - diagnosis</subject><subject>Neoplasms, Basal Cell - epidemiology</subject><subject>Neoplasms, Basal Cell/diagnosis/epidemiology</subject><subject>Prevalence</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Regions</subject><subject>Retrospective Studies</subject><subject>Sciences de la santé humaine</subject><subject>Seasons</subject><subject>Sex Factors</subject><subject>Skin cancer</subject><subject>Skin Neoplasms - diagnosis</subject><subject>Skin Neoplasms - epidemiology</subject><subject>Skin Neoplasms/diagnosis/epidemiology</subject><subject>Space-Time Clustering</subject><subject>Tumors of the skin and soft tissue. 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Objective and Method: The aim of the present 6-year study was to explore the seasonality if any in skin cancer detection in Wallonia (south-east Belgium). Results: For both malignant melanomas and BCC late spring/early summer and mid-autumn were the periods of highest diagnosis prevalence irrespective of gender. The amplitude of this bimodal evolution remained within the range of 2 standard deviations around the monthly means. Similar seasonal variations were also found in non-neoplastic controls consisting of laboratory samplings of onychomycoses and non-infectious onychodystrophies. Conclusion: There is reason to believe that this timing and rhythm is unrelated to any specific cancer chronomics. Rather, the present findings suggest unspecific seasonality in diagnosing skin disorders including malignancies. A variable patient awareness of changing aspects of the skin according to seasons probably represents the major influence of the described space-time clustering of skin cancer diagnosis.</abstract><cop>Basel, Switzerland</cop><pub>Karger</pub><pmid>18367841</pmid><doi>10.1159/000121853</doi><tpages>4</tpages></addata></record> |
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| subjects | Adolescent Adult Age Factors Aged Aged, 80 and over Belgium - epidemiology Biological and medical sciences Chronobiology Phenomena Clinical and Laboratory Studies Dermatologie Dermatology Epidemiology Female General aspects Human health sciences Humans Male Medical diagnosis Medical sciences Melanoma - diagnosis Melanoma - epidemiology Melanoma/diagnosis/epidemiology Middle Aged Nail Diseases - diagnosis Nail Diseases - epidemiology Nail Diseases/diagnosis/epidemiology Neoplasms, Basal Cell - diagnosis Neoplasms, Basal Cell - epidemiology Neoplasms, Basal Cell/diagnosis/epidemiology Prevalence Public health. Hygiene Public health. Hygiene-occupational medicine Regions Retrospective Studies Sciences de la santé humaine Seasons Sex Factors Skin cancer Skin Neoplasms - diagnosis Skin Neoplasms - epidemiology Skin Neoplasms/diagnosis/epidemiology Space-Time Clustering Tumors of the skin and soft tissue. Premalignant lesions |
| title | Space-Time Clustering and Seasonality in Diagnosing Skin Cancers in Wallonia (South-East Belgium) |
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