The epidemiologic study of farmers' syndrome in Chonnam province.
- Author:
Gang MOON
1
;
Jin Su CHOI
;
Seok Joon SOHN
;
Byong Woo KIM
Author Information
1. Department of Preventive Medicine, School of Medicine, Chonnam University, Korea.
- Publication Type:Original Article
- Keywords:
farmers' syndrome
- MeSH:
Surveys and Questionnaires;
Education, Medical;
Epidemiologic Studies*;
Family Characteristics;
Female;
Humans;
Jeollanam-do*;
Logistic Models;
Male;
Occupations;
Prevalence;
Surveys and Questionnaires
- From:Korean Journal of Preventive Medicine
1993;26(3):321-331
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
This survey was conducted to investigate Farmers' Syndrome and its related factors in Chonnam province. 5,920(men 6,148, women 6,722) persons in urban area and 12,870(men 6148, women 6,722) persons in rural area were selected in stratified cluster sampling manner, and interviewed individually with structured questionnaire in April, 1992. The results were summarized as follows: 1. In rural area of Chonnam province, the prevalence of Farmers' syndrome positive was 283 per 1,000 persons(203 in male, 355 in female). In urban area of Chonnam province, control area, the prevalence of Farmers' syndrome positive was 113(72 in male, 145 in female). The prevalence of Farmers' syndrome positive in rural area was 2.5 times higher that of urban area, and the prevalence in female was 1.7 times higher than that of male. The prevalence in total respondents was 256. 2. In rural area of Chonnam province, the age standardized prevalence of Farmers' syndrome positive was 209 per 1,000 persons(140 in male, 267 in female). In urban area of Chonnam province, control area, the age standardized prevalence of Farmers' syndrome positive was 122(79 in male, 158 in female). The age standardized prevalence in total respondents was 194. 3. The associated factors with Farmers' syndrome in univariate analysis were having illness during recent 15 days ,age, sex, occupation, area, monthly income, education, medical security status, family size and duration of farming. 4. When applying multiple logistic regression for Farmers' syndrome, the significant variables were having illness during recent 15 days, area, sex, age, education, medical security status, family size and duration of farming.
