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Multi-approach model for improving agrochemical safety among rice farmers in Pathumthani, Thailand

Overview of attention for article published in Risk Management and Healthcare Policy, July 2012
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1 tweeter

Citations

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37 Mendeley
Title
Multi-approach model for improving agrochemical safety among rice farmers in Pathumthani, Thailand
Published in
Risk Management and Healthcare Policy, July 2012
DOI 10.2147/rmhp.s30749
Pubmed ID
Authors

Buppha Raksanam, Taneepanichskul, Mark G. Robson, Wattasit Siriwong

Abstract

The large-scale use of agrochemicals has raised environmental and human health concerns. A comprehensive intervention strategy for improving agrochemical safety among rice farmers in Thailand is lacking. The objective of this study is to develop a model in order to improve farmers' health and prevent them from being exposed to agrochemical hazards, in addition to evaluating the effectiveness of the intervention in terms of agrochemical safety. This study was conducted between October 2009 and January 2011. It measures changes in the mean scores of agrochemical knowledge, health beliefs, agrochemical use behaviors, and in-home pesticide safety. Knowledge of agrochemical use constitutes a basic knowledge of agrochemicals and agrochemical safety behaviors. Health beliefs constitute perceived susceptibility, severity, benefits, and barriers to using agrochemicals. Agrochemical use behaviors include self-care practices in terms of personal health at specific times including before spraying, while spraying, during storage, transportation, waste management, and health risk management. Fifty rice farmers from Khlong Seven Community (study group) and 51 rice farmers from Bueng Ka Sam community (control group) were randomly recruited with support from community leaders. The participants were involved in a combination of home visits (ie, pesticide safety assessments at home) and community participatory activities regarding agrochemical safety. This study reveals that health risk behaviors regarding agrochemical exposure in the study area are mainly caused by lack of attention to safety precautions and the use of faulty protective gear. After 6 months, the intervention program showed significant improvements in the overall scores on knowledge, beliefs, behaviors, and home pesticide safety in the study group (P < 0.05). Therefore, this intervention model is effective in improving agrochemical safety behaviors among Khlong Seven Community rice farmers. These findings demonstrate that a multi-approach model for improving agrochemical safety behaviors can lead to sustainable prevention of agrochemical hazards for farmers.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 6 16%
Researcher 3 8%
Lecturer 2 5%
Other 2 5%
Other 10 27%
Unknown 6 16%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Environmental Science 8 22%
Engineering 3 8%
Agricultural and Biological Sciences 3 8%
Business, Management and Accounting 2 5%
Other 6 16%
Unknown 7 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2012.
All research outputs
#2,018,549
of 3,636,226 outputs
Outputs from Risk Management and Healthcare Policy
#23
of 43 outputs
Outputs of similar age
#33,926
of 72,116 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#6
of 13 outputs
Altmetric has tracked 3,636,226 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 43 research outputs from this source. They receive a mean Attention Score of 3.4. This one scored the same or higher as 20 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 72,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.