Factors Related to the Self Perceived Health Status of Farmers
10.5393/JAMCH.2023.48.3.178
- Author:
Beomseok KO
1
;
Sangchul ROH
;
Jeongbae RHIE
;
Min-Gi KIM
;
Young-Sun MIN
Author Information
1. Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea
- Publication Type:Original Articles
- From:Journal of Agricultural Medicine & Community Health
2023;48(3):178-188
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objective:Self perceived health status dose not only reflects an individual's perception of their overall well-being but is also known to be influenced by various aspects of life. Rural areas tend to have relatively lower quality of life compared to urban areas. Therefore, this study aims to investigate factors related to Self perceived health status among farmers.
Methods:In the subjective health status questionnaire, responses of "very healthy" and "healthy" are classified as ‘good’, whereas "average", "unhealthy" or "very unhealthy" are classified as indicative of a 'poor' subjective health status. Logistic regression analysis was conducted to calculate odds ratios(OR), aiming to investigate factors related to self perceived health status.
Results:The OR for self perceived health status as poor was statistically significant for females at 2.32(95% CI 1.47-3.67), for individuals working in greenhouses at 1.43(95% CI 1.01-1.98), for current smoker at 1.50(95% CI 1.02-2.08), and for those who experienced symptoms after pesticide exposure at 1.74(95% CI 1.13-2.67). An annual income of 50 million won or more had a statistically significant OR of 0.51(95% CI 0.28-0.91), education level of high school and above had an OR of 0.45(95% CI 0.32-0.63), and engaging in physical exercise had an OR of 0.61(95% CI 0.42-0.89).
Conclusions:The factors related to self perceived health status were identified as sex, smoking, cultivation type, presence of symptoms after pesticide exposure, annual income, education level, and exercise status. The significance of this study lies in providing foundational data for the development of health management programs for farmers.
