Online Program

330208
Personal health and organizational support as reported by different occupations in small manufacturing businesses


Monday, November 2, 2015

Mary Kay Hunt, MPH, Community Health Research Consulting, Hudson, WI
Deborah Hennrikus, PhD, School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
Lisa Brosseau, ScD, CIH, School of Public Health, Environmental and Occupational Health Sciences, University of Illinois at Chicago, Chicago, IL
Claudia Egelhoff, MSPH, Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN
Marc Katz, MPH, Division of Environmental Health, Minnesota Department of Health, St. Paul, MN
Harry Lando, PhD, School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
Erika Pinsker, MPH, School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
Peter Hannan, MStat, School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
We examined characteristics of employees in six occupational categories:  managers, production managers, production workers, support staff, research and development/engineers, and sales in under-studied small, manufacturing businesses (20-150 employees). We analyzed survey data from 47 businesses (n=2577 employees; 86% response rate) and examined the relationship of job type to socio-demographic characteristics, personal health variables, and perceptions of organizational support. Analyses were adjusted for age and sex, and included company as a random effect. Smoking rates were highest for production workers (33%), production managers (27%), and support staff (28%) and lowest for managers (12%) (p=.0002). Job strain was higher for production workers and support staff than managers (p=<0.0001). A higher percentage of production workers consistently rated organizational support variables less positively than managers; importantly, they rated safety climate lower than any other job category (p=<0.0001). The differences in characteristics by occupation among employees in these manufacturing settings call for a comprehensive, integrated intervention model that targets lower occupational classes, leverages the influence of production managers, enhances organizational support for health, and incorporates strategies that are customized by occupation.

Learning Areas:

Administer health education strategies, interventions and programs
Implementation of health education strategies, interventions and programs
Occupational health and safety
Planning of health education strategies, interventions, and programs

Learning Objectives:
Describe personal health behaviors (e.g. smoking rates) for different occupations in small manufacturing businesses Discuss how and why job strain and organizational support varies by occupation in small manufacturing businesses

Keyword(s): Occupational Health and Safety, Prevention

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I was the co-Principal Investigator with Lisa Brosseau of the NIDA-funded project that is the subject of this abstract and I am an expert in tobacco control.
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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