408
Views
11
CrossRef citations to date
0
Altmetric
Articles

Farmers’ Preventive Behavior Analysis Against Sunlight Using the Health Belief Model: A Study from Iran

, , &
Pages 110-118 | Published online: 28 Nov 2018
 

ABSTRACT

Agriculture is one of the major sources of employment and income in many countries, especially in developing countries. Farmers are exposed to numerous harmful factors such as sunlight and ultraviolet radiation. These factors contribute to multiple diseases including skin cancer. The aim of this study was to analyze the farmer’s preventive behavior against sunlight using the Health Belief Model (HBM). This descriptive study was conducted by survey methodology and a questionnaire. The population of the research was composed of farmers in Kermanshah Province (N = 126,900). The sample size was determined as 382 farmers using the Krejcie and Morgan table. The validity of the questionnaire was confirmed by relevant professors and experts, and the reliability was confirmed through a pilot study and the calculation of Cronbach’s alpha coefficient, which was estimated at 0.70–0.83. Findings showed that the HBM structures had a significant effect on the farmer’s preventive behavior, so that the perceived barriers, susceptibility, severity, benefits, self-efficacy, and cues to action have the strongest impact on the farmer’s preventive behavior against sunlight. The results illustrated that components of the HBM were appropriate predictors for farmers’ preventive behavior against sunlight.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 163.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.