In Thailand, agriculture is one of the major occupations; however, there is no comprehensive agricultural occupational health promotion and disease prevention model available. Objectives of this study were to empower farmers to study occupational health and safety situation in rice farming and to develop model to promote their health and prevent occupational health hazards among them. This participatory action research was performed in Tambol Klong 7, Klongluang district, Pathumthani, Thailand. The 24 rice farmers from 9 villages were voluntarily recruited as members of research team called farmer-leader research group. This group had a monthly meeting to discuss issues of agricultural occupational health and safety during 3 yr study period. At first stage, farmer-leader research group analyzed occupational health and safety during rice farming process. After we had results from situation analysis, farmer-leader research group decided which problems would be solved first. We developed model to solve those problems during the second stage. Finally, model was implemented to farmers in the study area. During first stage, results of questionnaires showed that there were 3 major occupational health and safety problems among these farmers; symptoms from pesticide exposure (65% of respondents), musculoskeletal problems during various process (16.6%-75.9%), and injuries during various process (1.1%-83.2%). From these results, farmer-leader research group decided to deal with pesticide problem. There was an experiment comparing using biofertilizers and bio pest-control with using chemical fertilizers and pesticides in the rice paddy. Results showed that the biological field produced the same amount of rice as the chemical field but cost less money than the chemical one. Benefits from using biofertilizers and bio pest-control were having higher profit, less exposure to chemicals, and good mental health from higher profit. After this experiment, biofertilizers and bio pest-control were disseminated to rice-farmers and students and teachers in local schools. At the end of study, we found that there were networks of farmers and networks of students-teachers using biological methods. This study showed that participation with farmers could create a real sustainable model to promote farmers' health and prevent them from occupational health hazards.

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The primary purpose is to do cancer risk assessment of toxaphene by using four steps of risk assessment proposed by the United States National Academy of Sciences/National Research Council (NAS/NRC). Four steps of risk assessment including hazard identification, dose-response relationship, exposure assessment, and risk characterization were used to evaluate cancer risk of toxaphene. Toxaphene was the most heavily used insecticide in many parts of the world before it was banned in 1982. It increased incidence of neoplasms of liver and uterus in mice and increased incidence of neoplasms of endocrine organs, thyroid, pituitary, adrenal, mammary glands, and reproductive systems in rats. From mice's and rats' study, slope factor for toxaphene is 0.8557 (mg/ kg/day) -1

Aims: The study objective was to develop a clinical risk score to assist occupational medicine physicians in diagnosing hospital workers’ occupational lower back pain (LBP). Settings and Design: A cross-sectional data collection design was conducted at Saraburi Hospital, Thailand. Methods and Materials: The sample consisted of 220 hospital workers who cared for patients and had LBP. They were assessed for the frequency of targeted activities (CPR, lifting, transferring patients) and other activities from work as well as ergonomic assessments, and diagnosed with LBP by three occupational medicine physicians. Statistical Analysis Used: Predicted factors of multivariable logistic regression were analysed to find clinical risk scores to help the diagnosis. Results: The physicians agreed on the diagnosis, based on ergonomic risk factors and their experiences that 86 persons have occupational LBP. A diagnostic assistant tool consists of six predictors: the duration of LBP, having LBP within the last 7 days, bending, twisting, lateral bending, and reaching. The scores predicted occupational LBP correctly with an AuROC of 90.0% (95% CI; 84.8–93.5%). The positive likelihood ratio for occupational LBP was 0 in the low risk category (<6 points) and 16.8 (95% CI; 8.0–35.6) in the high risk (>8 points). Conclusions: A diagnostic assistant tool is used to assist occupational medicine physicians in diagnosing hospital workers' occupational LBP.