The Health Effects Of Pesticides In Floriculture Farmers

Objective: Using epidemiological method and a medical check-up to study the health effect of pesticides in floriculture farmers, including routine hematological, haemato-biochemical, immunological and endocrine function.Method: A survey was conducted in one village of Kunming Area, and then the population was divided into exposure group and control group according to the use of pesticides. The exposure are those who had used pesticides for 1 years at least, while the control had not used pesticides for 5 years at least. The both groups had lived for more than 5 years in the village. At last, 144 people in exposure group and 44 people in control group accepted to collect blood samples in vein in order to check some health index. There are 78 men and 66 women in the exposure group, the average age was 39.26±8.71 years; and there are 16 men and 28 women in the control group with the average age of 44.11±10.68 years.AChE activities could reflect the level of pesticides exposure, so the exposure group was divided into three levels: low, middle and high, according to the AChE activities. As a result, the total population was divided into four groups: control(44), low exposure(48), middle exposure(48) and high exposure(48).The whole blood was to be measured the Routine hematological parameters: White blood cell(WBC), Lymphocyte(LYM), Neutrophile Granmulocyte(GRAN), Red blood cell(RBC), Haemoglobin(HB), Haematocrit(HCT) and Platelet(PLT). The serum was to measure the Haemato-biochemical parameters: Total Protein(TP), Albumin(ALB), Globulin(GB), Alanine aminotransferase(ALT), Aspartate aminotransferase(AST), Total bilirubin(TBiL), Direct bilirubin(DBIL) and Indirect bilirubin(JBIL); immune parameters: IgG, IgA and IgM level; thyroid hormone Triiodothyronine(T₃), Tetraiodothyronine(T₄) and Thyroid stimulating hormone(TSH); genital hormone Luteinizing Hormone(LH), Follicle Stimulating Hormone(FSH), Estradiol(E₂) and Testosterone(T).Statictical methods: The multivariate ANOVA General linear model and logistic regression were applied for data analysis.