Literature DB >> 7804988

Occupation and the risk of malignant melanoma.

I A Pion1, D S Rigel, L Garfinkel, M K Silverman, A W Kopf.   

Abstract

BACKGROUND: The incidence of malignant melanoma is increasing rapidly. The risk for development of malignant melanoma has been reported to be higher in persons of higher socioeconomic status.
METHODS: This case-control study explores the relation between occupation and malignant melanoma relative risk through analysis of data collected by the American Cancer Society. A total of 1.2 million people were enrolled in a study of lifestyles and environmental factors in relation to mortality from cancer and other diseases. A total of 2780 persons had a history of malignant melanoma when the study began or developed malignant melanoma during the 6-year study follow-up period. The controls were matched for age, sex, race, and geographic location on an approximately 1:3 basis to persons selected from the remaining people enrolled.
RESULTS: In men, malignant melanoma risk was significantly higher in high-paying versus low-paying occupations (odds ratio [OR], = 1.58; P < 0.001) and in white-collar versus blue-collar occupations (OR = 1.33; P < 0.001). No significant conclusions could be drawn for women. No significant difference in risk was noted between those with indoor versus outdoor occupations. Among specific occupational exposures, only exposure to X-rays significantly raised malignant melanoma risk (OR = 1.37; P = 0.002).
CONCLUSION: Upper pay scale and white-collar occupations significantly increase the risk for development of malignant melanoma.

Entities:  

Mesh:

Year:  1995        PMID: 7804988     DOI: 10.1002/1097-0142(19950115)75:2+<637::aid-cncr2820751404>3.0.co;2-#

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  13 in total

1.  Trends in the diagnosis and clinical features of melanoma in situ (MIS) in US men and women: A prospective, observational study.

Authors:  Erin X Wei; Abrar A Qureshi; Jiali Han; Tricia Y Li; Eunyoung Cho; Jennifer Y Lin; Wen-Qing Li
Journal:  J Am Acad Dermatol       Date:  2016-07-16       Impact factor: 11.527

2.  The frequency of self-skin examination and full body skin examination in dermatologists.

Authors:  Peter Saitta; David E Cohen; Darrell Rigel; Steven K Grekin; Ronald Brancaccio
Journal:  J Clin Aesthet Dermatol       Date:  2011-06

3.  Skin cancer prevention: a time for action.

Authors:  S A Everett; G A Colditz
Journal:  J Community Health       Date:  1997-06

4.  Incidence of cancer among commercial airline pilots.

Authors:  V Rafnsson; J Hrafnkelsson; H Tulinius
Journal:  Occup Environ Med       Date:  2000-03       Impact factor: 4.402

5.  A Prospective Study of Toenail Trace Element Levels and Risk of Skin Cancer.

Authors:  Natalie H Matthews; Michelle Koh; Wen-Qing Li; Tricia Li; Walter C Willett; Meir J Stampfer; David C Christiani; J Steven Morris; Abrar A Qureshi; Eunyoung Cho
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-06-19       Impact factor: 4.254

6.  Cutaneous melanoma: hints from occupational risks by anatomic site in Swedish men.

Authors:  B Perez-Gomez; M Pollán; P Gustavsson; N Plato; N Aragonés; G López-Abente
Journal:  Occup Environ Med       Date:  2004-02       Impact factor: 4.402

7.  Risk factors for cutaneous malignant melanoma among aircrews and a random sample of the population.

Authors:  V Rafnsson; J Hrafnkelsson; H Tulinius; B Sigurgeirsson; J Hjaltalin Olafsson
Journal:  Occup Environ Med       Date:  2003-11       Impact factor: 4.402

8.  Socio-economic level, farming activities and risk of cancer in small areas of Southern Spain.

Authors:  Ricardo Ocaña-Riola; Carmen Sánchez-Cantalejo; Jorge Rosell; Emilio Sánchez-Cantalejo; Antonio Daponte
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

9.  Influence of family size and birth order on risk of cancer: a population-based study.

Authors:  Melanie Bevier; Marianne Weires; Hauke Thomsen; Jan Sundquist; Kari Hemminki
Journal:  BMC Cancer       Date:  2011-05-09       Impact factor: 4.430

Review 10.  Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

Authors:  Julia Höhn; Achim Hekler; Eva Krieghoff-Henning; Jakob Nikolas Kather; Jochen Sven Utikal; Friedegund Meier; Frank Friedrich Gellrich; Axel Hauschild; Lars French; Justin Gabriel Schlager; Kamran Ghoreschi; Tabea Wilhelm; Heinz Kutzner; Markus Heppt; Sebastian Haferkamp; Wiebke Sondermann; Dirk Schadendorf; Bastian Schilling; Roman C Maron; Max Schmitt; Tanja Jutzi; Stefan Fröhling; Daniel B Lipka; Titus Josef Brinker
Journal:  J Med Internet Res       Date:  2021-07-02       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.