Srisookkum Taweewun, Sapbamrer Ratana
Department of Public Health, School of Medicine, University of Phayao, Maekha Subdistrict, Mueang Phayao, 56000 Thailand.
Faculty of Medicine, Chiang Mai University, Sriphum, Mueang, Chiang Mai, 50200, Thailand.
Iran J Public Health. 2020 Nov;49(11):2095-2102. doi: 10.18502/ijph.v49i11.4725.
We aimed to explain health symptoms and health literacy on the use of pesticides, investigate predicting factors and to formulate the health literacy model for the appropriate use of pesticides by cornfield farmers in the northern of Thailand.
The reliability and validity from 246 samples were selected by proportional stratified random sampling. Data were collected through a questionnaire in 2016 in Phayao province and were analysed by descriptive statistics and logistic regression.
All of samples exposed from paraquat, the mean years of farm experience were 14.1 yr and five groups of health symptoms from pesticides were muscle and skeleton, epithelial/mucosal, neurobehavioral, gastrointestinal and endocrine group. The predicting factors had influenced the health literacy of cornfield farmers regarding the use of pesticides were as following: 1) attitude on pesticides exposure (OR= 1.43, CI=1.26-1.64), 2) prevention of the practice of pesticides exposure(OR= 1.03, CI=1.01-1.05) 3) outcome of the expectation on the prevention of pesticides exposure (OR= 0.584, CI=0.41-0.82), 4) the number of secondary occupation(OR= 0.58, CI=0.38-0.89). These affecting factors were considered for the construction of a health literacy model on the use of pesticides. It could predict the model at 42.5%. The health literacy model could be equal to constant (6.85) + attitude on pesticides exposure (0.36) + behavior on the prevention of pesticides exposure (0.03) - outcome expectation on the prevention of pesticides exposure (0.54)- frequency of secondary occupation (0.53).
We recommend intervention of attitude, practice, outcome expectation and occupation to set up policy for health services among cornfield farmers.
我们旨在解释健康症状和健康素养对农药使用的影响，调查预测因素，并为泰国北部玉米田农民正确使用农药制定健康素养模型。
通过按比例分层随机抽样选取246个样本，以评估其信效度。2016年在帕夭府通过问卷调查收集数据，并进行描述性统计和逻辑回归分析。
所有样本都接触过百草枯，平均务农年限为14.1年，农药导致的五组健康症状分别为肌肉骨骼、上皮/黏膜、神经行为、胃肠道和内分泌组。影响玉米田农民农药使用健康素养的预测因素如下：1）对农药接触的态度（OR=1.43，CI=1.26-1.64），2）预防农药接触的行为（OR=1.03，CI=1.01-1.05），3）预防农药接触的预期结果（OR=0.584，CI=0.41-0.82），4）第二职业数量（OR=0.58，CI=0.38-0.89）。考虑这些影响因素构建了农药使用健康素养模型。该模型的预测准确率为42.5%。健康素养模型等于常数（6.85）+对农药接触的态度（0.36）+预防农药接触的行为（0.03）-预防农药接触的预期结果（0.54）-第二职业频率（0.53）。
我们建议针对态度、行为、预期结果和职业进行干预，为玉米田农民制定健康服务政策。
