Journal of Preventive Medicine and Public Health
- Volume 26 Issue 3 Serial No. 43
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- Pages.321-331
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- 1993
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- 1975-8375(pISSN)
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- 2233-4521(eISSN)
The Epidemiologic Study of Farmers' Syndrome in Chonnam Province
전남지역주민의 농부증에 관한 역학적 연구
- Moon, Gang (Department of Preventive Medicine, School of Medicine, Chonnam University) ;
- Choi, Jin-Su (Department of Preventive Medicine, School of Medicine, Chonnam University) ;
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Sohn, Seok-Joon
(Department of Preventive Medicine, School of Medicine, Chonnam University) ;
- Kim, Byong-Woo (Department of Preventive Medicine, School of Medicine, Chonnam University)
- 문강 (전남대학교 의과대학 예방의학교실) ;
- 최진수 (전남대학교 의과대학 예방의학교실) ;
-
손석준
(전남대학교 의과대학 예방의학교실) ;
- 김병우 (전남대학교 의과대학 예방의학교실)
- Published : 1993.09.01
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 than 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.