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[A case-control study for assessing the relation between the incidence of malignant lymphomas and environmental
Cai-Gang Xu1, Su-Ping Zheng, Jie Huang
1Department of Clinical Epidemiology and Hematology, Huaxi Hospital, Sichuan University, Chengdu 610041, China.
Objective:
To evaluate the relationships of malignant lymphoma (ML) and exposure factors, including environmental, drug using, socioeconomic level and life style etc.
Methods:
(1) Hospital-based case-control study with 1:2 matching was used; (2) 150 cases of ML and 300 controls were resulted; (3) logistic regression was used.
Results:
(1) Adjust odds ratios (aOR) regarding contact to organic solvents were: benzene aOR = 2.78, P = 0.001;banana oil aOR = 2.28, P = 0.043; paint aOR = 1.96, P = 0.023; (2) aOR on pesticides contact: organic phosphorus aOR = 1.98, P = 0.034; chrysanthester aOR = 2.57, P = 0.013; organic nitride aOR = 2.55, P = 0.003; (3) aOR of using aspirin was 2.36, P = 0.005; (4) dog-raising: aOR = 1.76, P = 0.034; (5) the aORs of interval-term exposure to small dosage X-ray was 0.49, P = 0.015, and frequently catching cold was 0.67, P = 0.024; (6) the P-value of different occupations was more than 0.05; cigarette smoking OR = 1.01, P = 0.897; giving up smoking OR = 1.17, P = 0.073; alcohol-drinking aOR = 1.01, P = 0.414; hair-dyes OR = 1.06, P = 0.850; hair-perms OR = 1.26, P = 0.438; socioeconomic level OR = 1.00, P = 1.000 and with introversive character OR = 1.26, P = 0.266.
Conclusions:
(1) Factors that might increase the risk of suffering from malignant lymphomas would include direct contact to organic solvents and some pesticides (organic phosphorus, chrysanthester and organic nitride), intake of aspirin, as well as dog-raising. (2) Regular exposure to small dosage X-ray and frequently catching cold seemed to decrease the risk of suffering from ML. (3) Occupation, smoking, giving up smoking, alcohol-drinking, hair-dyes, hair-perms, socioeconomic level and introversive character showed no significant relations to the risk of suffering from ML in this study.
