Related Experiment Video
Updated: Jul 25, 2025

Measuring Biophysical and Psychological Stress Levels Following Visitation to Three Locations with Differing Levels of Nature
Published on: June 19, 2019
Measuring Mental Health Service Preferences Amongst Illinois Dairy Producers
Michael Barrowclough1, Brianna Messman1, Daniel Lannin2
1Department of Agriculture, Illinois State University, Normal, IL, USA.
Objectives:
To mitigate mental health concerns of farmers, research is needed to investigate strategies that encourage help-seeking behavior in this population. This study attempts to identify those help-seeking strategies. Six mental health service options were examined.
Methods:
A survey, implementing a best-worst scaling choice experiment, was disseminated to members of the Illinois Milk Producers Association. Two methods of analysis were conducted. The first, a count-based method, employs a simple count-based approach to measure the relative preferences for the six mental health service options in question. The second is more complex and employs a latent-class logit regression model to measure individual preferences.
Results:
The mental-health service options, ranked in order from most preferred to least preferred were: 1) speak to family and friends, 2) keep it to myself, 3) utilize programs offered by agricultural organizations, 4) search online for self-help resources, 5) talk to a mental health professional, and 6) use "tele-health" support services.
Conclusion:
This study examined an important gap in the literature concerning help-seeking preferences of dairy farmers. It is the first to utilize a choice experiment approach to assess help-seeking preferences among this understudied population. Results provide important empirical evidence to support distinct categories of farmers who may be weighing options regarding how to best address their mental health concerns.
More Related Videos
12:08The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle
Published on: April 22, 2020
07:12Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
Published on: August 26, 2016