Generalizability of Total Worker Health^® Online Training for Young Workers

Young workers (under 25-years-old) are at risk of workplace injuries due to inexperience, high-risk health behaviors, and a lack of knowledge about workplace hazards. Training based on Total Worker Health® (TWH) principles can improve their knowledge of and ability to identify hazards associated with work organization and environment. In this study, we assessed changes to knowledge and behavior following an online safety and health training between two groups by collecting information on the demographic characteristics, knowledge, and self-reported behaviors of workplace health and safety at three different points in time. The participants’ age ranged from 15 to 24 years. Age adjusted results exhibited a significant increase in knowledge immediately after completing the training, although knowledge decreased in both groups in the follow-up. Amazon Marketplace Mechanical Turk (MTurk) participants demonstrated a greater increase in knowledge, with a significantly higher score compared to the baseline, indicating retention of knowledge three months after completing the training. The majority of participants in both groups reported that they liked the Promoting U through Safety and Health (PUSH) training for improving health and safety and that the training should be provided before starting a job. Participants also said that the training was interactive, informative and humorous. The participants reported that the PUSH training prepared them to identify and control hazards in their workplace and to communicate well with the supervisors and coworkers about their rights. Training programs based on TWH improves the safety, health and well-being of young workers

Neurological and mental health outcomes among conventional and organic farmers in Indiana, USA

Introduction: Every farming method, whether conventional or organic, has been associated with some sort of risky behaviors leading to health issues among farmers. Substantial evidence is not available in the literature to determine whether the magnitudes of health outcomes vary between conventional and organic farmers. The study investigated whether self-reported neurological and mental health symptoms differ between conventional and organic farmers living in Indiana, USA. Material and methods: A self-reported questionnaire survey collected information from 200 conventional and 157 organic farmers of Indiana on demographic characteristics, depression and neurological symptoms. Statistical analyses were conducted to observe the differences in self-reported symptoms by groups of farmers. Results: It was observed that the conventional farmers had significantly higher age-adjusted mean neurological symptom score (p<0.01) than the organic farmers. Regression models revealed positive and significant associations of conventional farming with total (β =1.34; p=0.02), sensory (β =0.83; p=0.001) and behavioural (β =0.09; p=0.03) symptoms after accounting for age, income, education and years in farming. Positive but non-significant associations were also observed in conventional farmers with cognitive and motor symptoms, and with all subscales of depression symptoms in the adjusted models. Conclusions: The findings obtained suggest the importance of a larger study to further explain the difference in mental and neurological health effects in these two categories of farmers