Naomi J. Anderson
United States Department of State
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American Journal of Industrial Medicine | 2012
Z. Joyce Fan; David K. Bonauto; Michael Foley; Naomi J. Anderson; Nanette L. Yragui; Barbara Silverstein
BACKGROUND Workers with depression and frequent mental distress (FMD) have lost work productivity. Limited systematic comparisons exist for the prevalence of depression and FMD across occupational groups. METHODS Using a state-added question for occupation coupled to measures of depression and FMD on the Washington State (WA) 2006 and 2008 Behavioral Risk Factor Surveillance System survey, we estimated the prevalence and odds ratios (ORs) among the 20,560 WA workers. RESULTS The prevalences of current depression and FMD were 5.2% and 7.5%, respectively. The prevalence varied considerably across occupations. Compared with Management occupation, Truck drivers had significantly increased odds for both current depression [OR = 6.18, 95% confidence interval (CI): 2.52-15.16] and FMD (OR = 1.85, 95% CI: 1.01-3.41). Cleaning/Building services (OR = 1.95, 95% CI: 1.11-3.40) and Protective services (OR = 1.97, 95% CI: 1.19-3.27) were associated with increased FMD. CONCLUSIONS These findings demonstrate the need for research on possible sources of the differences for current depression and FMD across occupations.
Journal of Asthma | 2011
Naomi J. Anderson; Carolyn Reeb-Whitaker; David K. Bonauto; Edmund Rauser
Objective. Asthma is a common and costly public health problem. Occupational exposures contribute to the burden of asthma. Identifying workplace exposures and industries and occupations at risk can lead to more effective prevention measures. Methods. Data from Washington State’s work-related asthma (WRA) surveillance program from October 2001 to December 2008 were analyzed. Workers’ compensation records, physician reports, and telephone interviews were used to describe the occurrence of WRA during this time, in order to identify contributing exposure sources and industries and occupations that are associated with WRA in Washington. Results. There were 1343 identified WRA cases in Washington State during this time. Of these, 1285 were workers’ compensation claims, with a total medical cost for State Fund claims of approximately
Journal of Occupational and Environmental Hygiene | 2013
Carolyn Reeb-Whitaker; Naomi J. Anderson; David K. Bonauto
3 million dollars. The top three sources identified were miscellaneous chemicals and materials, mineral and inorganic dusts, and plant material. Plant material claims proved to be widespread throughout various industries, were largely classified as new-onset asthma cases, and had higher median medical cost and higher median time loss days than cases associated with other exposure sources. Conclusions. Washington State has an abundance of plant-material-related WRA cases among US states conducting WRA surveillance. Washington State’s industry mix might explain the higher prevalence of cases, particularly its logging and wood processing industries and as a world leader in hops production. In Washington, further WRA prevention efforts should emphasize workplaces working with plant materials.
Journal of Occupational Medicine and Toxicology | 2014
Naomi J. Anderson; David K. Bonauto; Darrin Adams
Data from Washington States work-related asthma surveillance system were used to characterize isocyanate-induced asthma cases occurring from 1999 through 2010. Injured worker interviews and medical records were used to describe the industry, job title, work process, workers’ compensation cost, and exposure trends associated with 27 cases of isocyanate-induced asthma. The majority (81%) of cases were classified within the surveillance system as new-onset asthma while 19% were classified as work-aggravated asthma. The workers’ compensation cost for isocyanate-induced asthma cases was
Journal of Asthma | 2014
Naomi J. Anderson; Zihong Joyce Fan; Carolyn Reeb-Whitaker; David K. Bonauto; Edmund Rauser
1.7 million; this was 14% of the total claims cost for all claims in the asthma surveillance system. The majority of cases (48%) occurred from paint processes, followed by foam application or foam manufacturing (22%). Nine of the asthma cases associated with spray application occurred during application to large or awkward-shaped objects. Six workers who did not directly handle isocyanates (indirect exposure) developed new-onset asthma. Two cases suggest that skin contact and processes secondary to the isocyanate spray application, such as cleanup, contributed to immune sensitization. Surveillance data provide insight for the prevention of isocyanate-induced respiratory disease. Key observations are made regarding the development of work-related asthma in association with a) paint application on large objects difficult to ventilate, b) indirect exposure to isocyanates, c) exposure during secondary or cleanup processes, and d) reports of dermal exposure.
Public Health Reports | 2011
Z. Joyce Fan; Naomi J. Anderson; Michael Foley; Eddy Rauser; Barbara Silverstein
BackgroundThe Services Sector, as defined by the National Occupational Research Agenda (NORA), is comprised of a diverse industry mix and its workers face a variety of occupational exposures and hazards. The objective of this study was to identify high-risk industry groups within the Services Sector for prevention targeting.MethodsCompensable Washington State workers’ compensation claims from the Services Sector from 2002 through 2010 were analyzed. A “prevention index” (PI), the average of the rank orders of claim count and claim incidence rate, was used to rank 87 Services Sector industry groups by seven injury types: Work- Related Musculoskeletal Disorders (WMSDs), Fall to Lower Level, Fall on Same Level, Struck By/Against, Caught In/Under/Between, Motor Vehicle, and Overexertion. In the PI rankings, industry groups with high injury burdens appear higher ranked than industry groups with low counts or low rates of injury, indicating a need for prioritizing injury prevention efforts in these groups.ResultsIn the Services Sector, these 7 injury types account for 84% of compensable claims in WA. The industry groups highest ranked by PI across the injury types included: Services to Buildings and Dwellings; Executive, Legislative, and Other General Government Support; and Waste Collection. WMSDs had the highest compensable claims rates.ConclusionsServices is a large sector of the economy, and the substantial number, rate, and cost of occupational injuries within this sector should be addressed. Several Services Sector industry groups are at high risk for a variety of occupational injuries. Using a PI to rank industry groups based on their injury risk provides information with which to guide prevention efforts.
PLOS ONE | 2012
Naomi J. Anderson; David K. Bonauto; Z. Joyce Fan; June T. Spector
Abstract Objective: To estimate the prevalence of asthma in workers by occupation in Washington State. Methods: Data from the 2006–2009 Behavioral Risk Factor Surveillance System (BRFSS) and the BRFSS Asthma Call-Back Survey (ACBS) in Washington State (WA) were analyzed. Using state-added and coded Industry and Occupation questions, we calculated prevalence ratios (PRs) for 19 occupational groups. Results: Of the 41 935 respondents who were currently employed during 2006–2009, the prevalence of current asthma was 8.1% [95% confidence interval (CI) 7.8–8.5%] When compared with the reference group of executive, administration and managerial occupations, three occupational groups had significantly (p < 0.05) higher PRs of current asthma: “Teachers, all levels, and Counselors’ (PR 1.3, 95% CI 1.1–1. 6%); ‘Administrative Support, including Clerical” (PR 1. 5, 95% CI 1.2–1.9%); and “Other Health Services” (PR 1.5, 95% CI 1.2–1.9). Half of the 2511 ACBS respondent workers (55.1%) indicated that they believed exposure at work had caused or worsened their asthma, but only 10.7% had ever spoken with a health care professional about their asthma being work related. Conclusions: Some occupations have a higher prevalence of current asthma than other occupations. The systematic collection of industry and occupation data can help identify worker populations with a high burden of asthma and can be used to target disease prevention efforts as well as to aid clinician recognition and treatment. Workers indicated that work-related asthma exposures are not discussed with their health care provider and this communication gap has implications for asthma management.
American Journal of Industrial Medicine | 2010
Naomi J. Anderson; David K. Bonauto; Darrin Adams
Objectives. We examined the disparities in health-care coverage between low- and high-income workers in Washington State (WA) to provide support for possible policy decisions for uninsured workers. Methods. We examined data from the WA Behavioral Risk Factor Surveillance System 2003–2007 and compared workers aged 18–64 years of low income (annual household income <
Journal of Burn Care & Research | 2011
Naomi J. Anderson; David K. Bonauto; Darrin Adams
35,000) and high income (annual household income ≤
Morbidity and Mortality Weekly Report | 2015
Carolyn Reeb-Whitaker; Carly M. Eckert; Naomi J. Anderson; David K. Bonauto
35,000) on proportions and sources of health-care coverage. We conducted multivariable logistic regression analyses on factors that were associated with the uninsured. Results. Of the 54,536 survey respondents who were working-age adults in WA, 13,922 (25.5%) were low-income workers. The proportions of uninsured were 38.2% for low-income workers and 6.3% for high-income workers. While employment-based health benefits remained a dominant source of health insurance coverage, they covered only 40.2% of low-income workers relative to 81.5% of high-income workers. Besides income, workers were more likely to be uninsured if they were younger; male; Hispanic; less educated; not married; current smokers; self-employed; or employed in agriculture/forestry/fisheries, construction, and retail. More low-income workers (28.7%) reported cost as an issue in paying for health services than did their high-income counterparts (6.7%). Conclusion. A persistent gap in health-care coverage exists between low- and high-income workers. The identified characteristics of these workers can be used to implement policies to expand health insurance coverage.