Online Program

332135
Green Collar Workers: Epidemiology of An Emerging Workforce


Wednesday, November 4, 2015

Laura A. McClure, MSPH, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, FL
David J. Lee, PhD, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
Lora Fleming, MD, PhD, European Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom
Kristopher L. Arheart, Ed.D., Department of Public Health Sciences, Division of Biostatistics, University of Miami Miller School of Medicine, Miami, FL
William G. LeBlanc, PhD, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
Charles Chen, BS, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
Kevin J. Moore, BA, MD/MPH (c), Medical Education and Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
Sharon Christ, PhD, Department of Human Development and Family Studies and Statistics, Purdue University, West Lafayette, IN
Cristina Fernandez, MSEd, Department of Public Health Sciences, University of Miami Miller School of Medicinne, Miami, FL
Manuel Cifuentes, MD, ScD, Department of Work Environment, University of Massachusetts Lowell, Lowell, MA
Alberto J. Caban-Martinez, DO, PhD, MPH, CPH, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
Background/Purpose: The Green collar workforce is a unique and growing field of workers in the US, comprised of jobs seeking to increase sustainability and decrease waste, energy use, and pollution. Little is known, however, about the sociodemographic, health, and employment characteristics of these workers.

Methods: Using pooled data from the 2004-2012 National Health Interview Survey, we conducted descriptive analyses at the National Center for Health Statistics Research Data Center. We compared the prevalence of sociodemographic variables, health conditions, and employment factors of Green (n=27,432) versus non-Green (n=115,914) collar workers. Estimates were weight-adjusted for the complex survey design.

Results/Outcomes: Compared to non-Green collar workers, Green collar workers were more often were male (75.7% vs. 48.3%), were in the 25-64y age group, compared to older or younger age groups (86.7% v.s 82.6%), were insured (83.9% vs. 82.0%), had hearing impairment (13.2% vs. 10.7%), were overweight (39.8% vs. 35.6%) or obese (28.7% vs. 25.7%), and were employed in medium sized companies (100-249 employees: 14.1% vs. 12.0%; 250-499 employees: 8.5% vs. 6.2%; 500-999 employees: 5.8% vs. 4.6%) and incorporated companies (34.5% vs. 29.6%). They less often had more than a high school education (57.3% vs. 64.9%) and more than one job (6.9% vs. 9.1%).

Conclusions: There are some notable sociodemographic, health, and employment differences between Green and non-Green collar workers. As the Green collar workforce grows in the US, it is critical that we expand our understanding of the unique characteristics of these workers and the occupational and environmental exposures they face. 

Learning Areas:

Occupational health and safety

Learning Objectives:
Describe the characteristics of US Green collar workers. Discuss the differences in sociodemographic and employment between Green and non-Green collar workers

Keyword(s): Occupational Health and Safety, Workforce

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am an osteopathic physician (DO) and doctoral trained epidemiologist (PhD) with board certification in public health (CPH). I conceptualized and supported the analyses conducted in this research project.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

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