Occupational Safety and Health Concerns in Logging: A Cross-Sectional Assessment in Virginia

Retrospective Risk Assessment of Injuries and Fatalities in the Forestry and Logging Workforce in the United States, 2003-2019

OBJECTIVES

The objectives of this study on the forestry and logging workforce are to: 1) Analyze causes of injuries/fatalities to inform future intervention studies focused on risk mitigation, 2) determine whether there are any trends or associations between work-related risk factors and workplace injuries/fatalities over a 16-year period (2003-2019), and 3) identify knowledge gaps related to injuries and fatalities for future studies to address.

METHODS

Data on fatalities, injuries, and illnesses of the forestry and logging workforce from the United States Bureau of Labor Statistics were analyzed. Correlation analysis (p < .05) was conducted to assess the relationship between causes of forestry and logging workforce fatalities by cause of fatality in the United States. Injury and fatality rates were calculated for each year (fatalities: 2003-2018; injuries: 2005-2019) and time span-specific incidence rates were calculated by cause.

RESULTS

Contact with objects and equipment was the primary cause of injuries and fatalities in the forestry and logging workforce during the study period. Transportation-related incidents ranked second as the cause of fatalities, while the category of falls, slips, and trips was the second leading cause of injuries.

CONCLUSION

Gaps in occupational health and safety identified by this study should be collaboratively addressed by researchers and the forestry industry.

Not Quite Out of the Woods: Overall Health and Chronic Disease Risk Factors among Maine Logging Workers

OBJECTIVE

This research reports on the health status, including chronic disease risk factors, among Maine loggers.

METHODS

Loggers completed a survey and health screenings were held across Maine, collecting data on a variety of health endpoints.

RESULTS

Seventy-five loggers participated. The majority were men (97.1%) with a median age of 46, and a mean BMI of 30.6 kg/m2 (SD 4.9). Nearly half of those screened (45.9%) had blood pressure at the level of stage II hypertension. Loggers with at least a single joint abnormality were 38.4%. The health screening cohort was similar to the non-health screening cohort for many attributes.

CONCLUSIONS

Future research should focus on tailored interventions to improve cardiovascular and musculoskeletal risk factors among loggers.

Health and safety in the Maine woods: Assemblage and baseline characteristics of a longitudinal cohort of logging workers

BACKGROUND

Logging remains one of the most hazardous industries in the United States, despite many safety improvements made in the last decades. Currently, we know little about regional trends in health conditions of logging workers, especially in the Northeast. However, the forest products industry is a critical component of the Northeast's economy, especially in the State of Maine.

METHODS

This paper reports on the baseline data of a longitudinal cohort study involving Maine loggers, aimed to assess the health and safety of the industry.

RESULTS

Three hundred twenty-five are included in these analyses, 246 mechanized loggers, and 79 conventional. On average mechanized loggers worked longer days (11.8 vs 9.7 hours) and had longer commutes from home to the woodlot (72.6 vs 40.7 minutes) than conventional loggers. For health factors, mechanized and conventional loggers had similar responses. Nearly two-thirds of both mechanized and conventional loggers had an annual physical in the previous year, and 36.3% had seen a health specialist during that same time period. The overall work-related injury and illness rate is 6.8 of 100 workers for this cohort.

CONCLUSIONS

These factors contribute to a need to work with the community on transforming logging into a safer and healthier profession for the current workforce, as well as the workforce of the future. This study provides the basis for an appropriate intervention, in collaboration with the loggers and industry stakeholders, to improve the lives of these vital workers.

Decomposing Differences in Poor Self-rated Health between Those in Agriculture and Natural Resource Occupations and the Rest of the Labor Force

Objective: Occupations in agriculture and natural resources persistently have some of the highest rates of injury and illness. Additionally, these fields are dominated by segments of the population known to demonstrate poorer health, such as those with less education, lower family income, and more irregular labor force participation. Thus, it is unclear if health disparities between those in these sectors and the rest of the labor force are unique to these occupations, or a reflection of their demographic composition. The objective of this study was to determine how much of the difference in self-rated health between those who work agriculture and natural resource occupations - meaning farming, forestry, fishing, hunting, and resource extraction - and the rest of the labor force was due to demographic characteristics versus unexplained factors unique to the occupations.Methods: Using the National Health Interview Survey from 2008 to 2017, a two-way Oaxaca-Blinder decomposition of linear probability models predicting poor self-rated health between those reporting agriculture and natural resource occupations and other working adults with sociodemographic characteristics was performed.Results: Results show more than the total difference in the probability of poor self-rated health between the two groups (0.0173) can be explained by demographic composition (0.0303). If the agriculture and natural resource workforce had the average demographic composition between them and the rest of the labor force, they would have lower rates of poor self-rated health than the broader labor force.Conclusion: While agriculture and natural resource occupations are hazardous, the prevalence of poor self-rated health in the labor force is not unique to these occupations, but appears common among all occupations dominated by those with low income and education.

Human Factors Affecting Logging Injury Incidents in Idaho and the Potential for Real-Time Location-Sharing Technology to Improve Safety

Human factors, including inadequate situational awareness, can contribute to fatal and near-fatal traumatic injuries in logging, which is among the most dangerous occupations in the United States. Real-time location-sharing technology may help improve situational awareness for loggers. We surveyed and interviewed professional logging contractors in Idaho to (1) characterize current perceptions of in-woods hazards and the human factors that lead to injuries; (2) understand their perspectives on using technology-based location-sharing solutions to improve safety in remote work environments; and (3) identify logging hazard scenarios that could be mitigated using location-sharing technology. We found production pressure, fatigue, and inexperience among the most-common factors contributing to logging injuries from the perspective of participants. Potential limitations of location-sharing technology identified included potential for distraction and cost. Contractors identified several situations where the technology may help improve safety, including (1) alerting workers of potential hand-faller injuries due to lack of movement; (2) helping rigging crews to maintain safe distances from yarded trees and logs during cable logging; and (3) providing a means for equipment operators to see approaching ground workers, especially in low-visibility situations.