Abstract

PURPOSE
This study was conducted to identify the relation between farmers' syndrome and the quality of life of residents in suburban areas.
METHODS
A total of 994 subjects were selected through simple random sampling. Data were collected from June 25 to August 31, 2007. Data analysis included frequency, chi2-test, Fisher's exact test, t-test, ANOVA, Duncan test, and Pearson's correlation coefficient using SPSS Win 12.0.
RESULTS
1. Analysis of farmers' syndrome showed that there were statistically significant differences according to age, gender, education, living with, family conversation, health security, monthly income, occupation, general health status, systolic blood pressure, and sleeping time. 2. Analysis of the quality of life showed that there were statistically significant differences according to age, education, religion, family conversation, health security, monthly income, occupation, and sleeping time. 3. Farmers' syndrome was in a significantly negative correlation with quality of life.
CONCLUSION
Considering the results above, we need to develop nursing interventions for decreasing hypertension, high blood sugar, and farmers' syndrome of residents in suburban area.