219029 Factors related to cigarette smoking among building trades workers

Monday, November 8, 2010

Dal Lae Chin, RN, MSN , School of Nursing, University of California, San Francisco, San Francisco, CA
OiSaeng Hong, PhD, RN , School of Nursing, University of California, San Francisco, San Francisco, CA
Cassandra Okechukwu, ScD , Dept of Society, Human Development and Health, Harvard School of Public Health, Boston, MA
Background: Cigarette smoking creates greater challenges for blue-collar workers who smoke more heavily and are less successful in quitting. It is important to identify factors related to blue-collar workers' smoking to develop an effective intervention program to help them with quitting smoking. The purpose of this study is to estimate the contribution of related factors to current and heavy smoking among blue-collar workers. Methods: A total of 1,817 apprentices (mean age=29 years, 95% male) from 10 sites in Massachusetts Building Unions who completed self-reported questionnaires regarding smoking were included in the analysis. Data analysis included chi-square, t-test, and logistic regression analysis to fulfill the purpose of the study. Results: Approximately 40% of the participants reported current smoking; 66% reported heavy smoking (>10 cigarettes daily). Workers with low education (c2=14.61, p=.002) and low income (c2=8.73, p=.03) showed significantly higher prevalence of current smoking. Workers exposed to dust (c2=7.81, p=.05) and chemicals (c2=8.83, p=.01) at work reported higher rate of current smoking. Exposure to smoke from anyone who lives in their home (OR=2.13, 95%CI:1.63-2.78) and their friends/co-workers smoking (OR=1.67, 95%CI:1.34-2.07) were significant predictors of current smoking. These factors were also significantly related to heavy smoking (OR=2.02, 95%CI: 1.28-3.18, OR=1.52, 95%CI:1.04-2.24, respectively). Workers reported poor health were significantly more like to be current smoker (OR= 1.51, 95%CI:1.30-1.76). Workers reported starting to smoke at younger age were more like be heavy smoker (OR=1.08, 95%CI:1.02-1.15). Conclusion: Intervention strategy should incorporate these significant predictors of smoking behaviors to promote smoking cessation for blue-collar workers.

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
Public health or related nursing
Social and behavioral sciences

Learning Objectives:
1. Identify the related factors to smoking behaviors (current and heavy smoking) among blue-collar workers. 2. Discuss that blue-collar workers have the higher prevalence of cigarette smoking (40%), compared to white-collar workers (20.5%) and general population (19.8%). 3. Critically discuss future intervention strategy to develop effective intervention to promote smoking cessation for this blue-collar population.

Keywords: Smoking, Worksite

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I has over five years of research experience on prevention of work-related injuries and diseases among workers, and health promotion and risk reduction in vulnerable groups. I has a masterís degree in community health nursing focusing on smoking behaviors and had worked as an occupational health manager in the industry. Presently, I am a third year doctoral student in the Occupational & Environmental Health Nursing at the University of California, San Francisco (UCSF) School of Nursing, and has advanced to candidacy in Fall 2009. My area of interest is the smoking cessation in the workplace, specifically blue-collar workers.
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.