Iowa Workforce Monthly, June-July 2010, Issue 17

Highlights: * Iowa Workforce Development Director Elisabeth Buck and Deputy Director Joe Walsh recently visited a number of IowaWORKS offices in Eastern Iowa as part of a summer tour........................................pg. 2 * Amber Connolly was recently awarded the Iowa Association of Workplace Professionals (IAWP) individual award for Outstanding Specialized Customer Service...............pg. 2 * Iowa Workforce Development has partnered with Iowa’s Community Colleges to implement Iowa’s National Career Readiness Certificate (NCRC).................pg. 3 * O*NET is an occupational information network developed under the sponsorship of the U.S. Department of Labor/Employment and Training Administration.....................pg. 3

Changes in leisure time and occupational physical activity over 8 years: The Cornellà health Interview Survey Follow-Up Study

Aim: To describe changes in leisure time and occupational physical activity status in an urban Mediterranean population-based cohort, and to evaluate sociodemographic, health-related and lifestyle correlates of such changes. Methods: Data for this study come from the Cornellè Health Interview Survey Follow-Up Study, a prospective cohort study of a representative sample (n¿=¿2500) of the population. Participants in the analysis reported here include 1246 subjects (567 men and 679 women) who had complete data on physical activity at the 1994 baseline survey and at the 2002 follow-up. We fitted Breslow-Cox regression models to assess the association between correlates of interest and changes in physical activity. Results: Regarding leisure time physical activity, 61.6% of cohort members with ¿sedentary¿ habits in 1994 changed their status to ¿light/moderate¿ physical activity in 2002, and 70% who had ¿light/moderate¿ habits in 1994 did not change their activity level. Regarding occupational physical activity, 74.4% of cohort members who were ¿active¿ did not change their level of activity, and 64.3% of participants with ¿sedentary¿ habits in 1994 changed to ¿active¿ occupational physical activity. No clear correlates of change in physical activity were identified in multivariate analyses. Conclusion: While changes in physical activity are evident in this population-based cohort, no clear determinants of such changes were recognised. Further longitudinal studies including other potential individual and contextual determinants are needed to better understand determinants of changes in physical activity at the population level.

Occupational asthma in workers exposed to Mesalazine powder inhalation

Background: Due to complains of respiratory symptoms of some employees a pharmaceutical company asked in 2008 the occupational medical department of the Institute for Work and Health in Lausanne to evaluate the health status of their workers exposed to Mesalazine powder, which is the active agent of a drug used for the treatment of bowels inflammation. Therefore we examined the 21 workers exposed to Mesalazine powder. Method: After a visit of the pharmaceutical company in order to investigate the Mesalazine powder production, we performed an individual medical evaluation of the 21 workers. Our medical protocol was based on the safety data sheet of Mesalazine, the data found in the scientific literature and the «Compendium Suisse des Médicaments» and covered upper and lower respiratory tract as well as skin and eyes. Results: Sixty two percent (62%) of the exposed employees had symptoms of skin, eyes and throat irritation. Three employees reported respiratory symptoms such as dyspnoea, cough and expiratory wheezing, which appeared during the working hours. The Peak Flow series performed at the workplace was lowered in the three employees with lower respiratory tract symptoms. None of the three had consulted a physician, even though the symptoms had been present since some months. The pneumological evaluation confirmed for all three cases the asthma diagnoses. Conclusion: It is known that patients who are treated with drugs including Mesalazine can develop adverse health effect such as asthma. However occupational asthma in workers exposed to Mesalazine powder inhalation is until now not described in the literature. Immunologic investigations in order to know if the occupational asthma caused by Mesalazine is of allergic or mechanical irritation nature are still ongoing. Concerning the three workers with asthma, inability to work with Mesalazine was pronounced. Furthermore, the SUVA recognized the three patients with asthma as occupational respiratory diseases. Following our results and recommendations, the company undertook some measures to reduce the exposure to Mesalazine. A new health evaluation of the employees in the Mesalazine production is hence planned in 2009. As each year new causes of occupational asthma are described, the possible work relation of new asthma onset has to be carefully investigated as the consequences for the patient e.g. removal from exposure and for the exposed co-workers are of substantial importance.

Occupational respiratory exposures to irritating and sensitizing volatile compounds deriving from cleaning products

Recent findings suggest an association between exposure to cleaning products and respiratory dysfunctions including asthma. However, little information is available about quantitative airborne exposures of professional cleaners to volatile organic compounds deriving from cleaning products. During the first phases of the study, a systematic review of cleaning products was performed. Safety data sheets were reviewed to assess the most frequently added volatile organic compounds. It was found that professional cleaning products are complex mixtures of different components (compounds in cleaning products: 3.5 ± 2.8), and more than 130 chemical substances listed in the safety data sheets were identified in 105 products. The main groups of chemicals were fragrances, glycol ethers, surfactants, solvents; and to a lesser extent phosphates, salts, detergents, pH-stabilizers, acids, and bases. Up to 75% of products contained irritant (Xi), 64% harmful (Xn) and 28% corrosive (C) labeled substances. Hazards for eyes (59%), skin (50%) and by ingestion (60%) were the most reported. Monoethanolamine, a strong irritant and known to be involved in sensitizing mechanisms as well as allergic reactions, is frequently added to cleaning products. Monoethanolamine determination in air has traditionally been difficult and air sampling and analysis methods available were little adapted for personal occupational air concentration assessments. A convenient method was developed with air sampling on impregnated glass fiber filters followed by one step desorption, gas chromatography and nitrogen phosphorous selective detection. An exposure assessment was conducted in the cleaning sector, to determine airborne concentrations of monoethanolamine, glycol ethers, and benzyl alcohol during different cleaning tasks performed by professional cleaning workers in different companies, and to determine background air concentrations of formaldehyde, a known indoor air contaminant. The occupational exposure study was carried out in 12 cleaning companies, and personal air samples were collected for monoethanolamine (n=68), glycol ethers (n=79), benzyl alcohol (n=15) and formaldehyde (n=45). All but ethylene glycol mono-n-butyl ether air concentrations measured were far below (<1/10) of the Swiss eight hours occupational exposure limits, except for butoxypropanol and benzyl alcohol, where no occupational exposure limits were available. Although only detected once, ethylene glycol mono-n-butyl ether air concentrations (n=4) were high (49.5 mg/m3 to 58.7 mg/m3), hovering at the Swiss occupational exposure limit (49 mg/m3). Background air concentrations showed no presence of monoethanolamine, while the glycol ethers were often present, and formaldehyde was universally detected. Exposures were influenced by the amount of monoethanolamine in the cleaning product, cross ventilation and spraying. The collected data was used to test an already existing exposure modeling tool during the last phases of the study. The exposure estimation of the so called Bayesian tool converged with the measured range of exposure the more air concentrations of measured exposure were added. This was best described by an inverse 2nd order equation. The results suggest that the Bayesian tool is not adapted to predict low exposures. The Bayesian tool should be tested also with other datasets describing higher exposures. Low exposures to different chemical sensitizers and irritants should be further investigated to better understand the development of respiratory disorders in cleaning workers. Prevention measures should especially focus on incorrect use of cleaning products, to avoid high air concentrations at the exposure limits. - De récentes études montrent l'existence d'un lien entre l'exposition aux produits de nettoyages et les maladies respiratoires telles que l'asthme. En revanche, encore peu d'informations sont disponibles concernant la quantité d'exposition des professionnels du secteur du nettoyage aux composants organiques volatiles provenant des produits qu'ils utilisent. Pendant la première phase de cette étude, un recueil systématique des produits professionnels utilisés dans le secteur du nettoyage a été effectué. Les fiches de données de sécurité de ces produits ont ensuite été analysées, afin de répertorier les composés organiques volatiles les plus souvent utilisés. Il a été mis en évidence que les produits de nettoyage professionnels sont des mélanges complexes de composants chimiques (composants chimiques dans les produits de nettoyage : 3.5 ± 2.8). Ainsi, plus de 130 substances listées dans les fiches de données de sécurité ont été retrouvées dans les 105 produits répertoriés. Les principales classes de substances chimiques identifiées étaient les parfums, les éthers de glycol, les agents de surface et les solvants; dans une moindre mesure, les phosphates, les sels, les détergents, les régulateurs de pH, les acides et les bases ont été identifiés. Plus de 75% des produits répertoriés contenaient des substances décrites comme irritantes (Xi), 64% nuisibles (Xn) et 28% corrosives (C). Les risques pour les yeux (59%), la peau (50%) et par ingestion (60%) était les plus mentionnés. La monoéthanolamine, un fort irritant connu pour être impliqué dans les mécanismes de sensibilisation tels que les réactions allergiques, est fréquemment ajouté aux produits de nettoyage. L'analyse de la monoéthanolamine dans l'air a été habituellement difficile et les échantillons d'air ainsi que les méthodes d'analyse déjà disponibles étaient peu adaptées à l'évaluation de la concentration individuelle d'air aux postes de travail. Une nouvelle méthode plus efficace a donc été développée en captant les échantillons d'air sur des filtres de fibre de verre imprégnés, suivi par une étape de désorption, puis une Chromatographie des gaz et enfin une détection sélective des composants d'azote. Une évaluation de l'exposition des professionnels a été réalisée dans le secteur du nettoyage afin de déterminer la concentration atmosphérique en monoéthanolamine, en éthers de glycol et en alcool benzylique au cours des différentes tâches de nettoyage effectuées par les professionnels du nettoyage dans différentes entreprises, ainsi que pour déterminer les concentrations atmosphériques de fond en formaldéhyde, un polluant de l'air intérieur bien connu. L'étude de l'exposition professionnelle a été effectuée dans 12 compagnies de nettoyage et les échantillons d'air individuels ont été collectés pour l'éthanolamine (n=68), les éthers de glycol (n=79), l'alcool benzylique (n=15) et le formaldéhyde (n=45). Toutes les substances mesurées dans l'air, excepté le 2-butoxyéthanol, étaient en-dessous (<1/10) de la valeur moyenne d'exposition aux postes de travail en Suisse (8 heures), excepté pour le butoxypropanol et l'alcool benzylique, pour lesquels aucune valeur limite d'exposition n'était disponible. Bien que détecté qu'une seule fois, les concentrations d'air de 2-butoxyéthanol (n=4) étaient élevées (49,5 mg/m3 à 58,7 mg/m3), se situant au-dessus de la frontière des valeurs limites d'exposition aux postes de travail en Suisse (49 mg/m3). Les concentrations d'air de fond n'ont montré aucune présence de monoéthanolamine, alors que les éthers de glycol étaient souvent présents et les formaldéhydes quasiment toujours détectés. L'exposition des professionnels a été influencée par la quantité de monoéthanolamine présente dans les produits de nettoyage utilisés, par la ventilation extérieure et par l'emploie de sprays. Durant la dernière phase de l'étude, les informations collectées ont été utilisées pour tester un outil de modélisation de l'exposition déjà existant, l'outil de Bayesian. L'estimation de l'exposition de cet outil convergeait avec l'exposition mesurée. Cela a été le mieux décrit par une équation du second degré inversée. Les résultats suggèrent que l'outil de Bayesian n'est pas adapté pour mettre en évidence les taux d'expositions faibles. Cet outil devrait également être testé avec d'autres ensembles de données décrivant des taux d'expositions plus élevés. L'exposition répétée à des substances chimiques ayant des propriétés irritatives et sensibilisantes devrait être investiguée d'avantage, afin de mieux comprendre l'apparition de maladies respiratoires chez les professionnels du nettoyage. Des mesures de prévention devraient tout particulièrement être orientées sur l'utilisation correcte des produits de nettoyage, afin d'éviter les concentrations d'air élevées se situant à la valeur limite d'exposition acceptée.

Group 4: Career development for diverse and underserved populations

Globalization and diverse populations due to migration imply that counselors are expected to deliver career services to populations from a large array of cultural settings. Moreover, individuals belonging to minority or non-dominant groups may be underserved or misserved, thus decreasing their chances of finding employment opportunities through career counseling. To develop specific interventions minority or non-dominant groups, it seems important to understand their strength and weaknesses. These strengths and weaknesses will be presented in terms of risk and resilience factors, such as low future orientation and social support respectively. In the last two decades, several authors have made contributions to adapt and improve career services in order to best meet these minority groups' needs. A review of this literature identified thirteen keys to effective practice. For example, one key is to take responsibility for one's own biases and prejudices. Nonetheless, some underserved groups remain difficult to identify. Comparing some basic national demographic data with data from our counseling centers may be helpful in this context in identifying specific groups and assessing needs. One solution, in order to promote social justice across (all) cultural groups, is to encourage multiculturalism in both career counseling and society as a whole. A more inclusive society would allow each person in a minority or non-dominant group to contribute more effectively to the development and growth of this society.

Screening for occupational asthma by using a self-administered questionnaire in a clinical setting

OBJECTIVE: Because of its high prevalence, early screening for occupational asthma (OA) is crucial. We aimed to evaluate the screening performance of the Occupational Asthma Screening Questionnaire-11 items (OASQ-11) in a clinical setting. METHODS: Between January 2009 and December 2011, 169 workers referred for potential OA to our hospital completed the OASQ-11 and underwent workups to determine the final diagnosis. The discriminative abilities of the OASQ-11 as a whole and in relation to demographic and exposure parameters were determined by the area under the receiving operator characteristic curve (AUC). RESULTS: Model 1, consisting of the OASQ's items, showed fair discrimination (AUC, 0.69; 95% confidence interval, 0.58 to 0.80). Addition of age and exposure duration to model 1 improved discrimination (AUC, 0.80; confidence interval, 0.72 to 0.88). CONCLUSION: A simple model consisting of the OASQ-11's items, age, and exposure duration could well discriminate subjects with OA in a clinical setting.

Iowa Workforce Monthly, October 2010, Issue 18

Highlights: * Iowa Workforce Development Director Elisabeth Buck and Deputy Director Joe Walsh recently visited a number of IowaWORKS offices in Eastern Iowa as part of a summer tour........................................pg. 2 * Amber Connolly was recently awarded the Iowa Association of Workplace Professionals (IAWP) individual award for Outstanding Specialized Customer Service...............pg. 2 * Iowa Workforce Development has partnered with Iowa’s Community Colleges to implement Iowa’s National Career Readiness Certificate (NCRC).................pg. 3 * O*NET is an occupational information network developed under the sponsorship of the U.S. Department of Labor/Employment and Training Administration.....................pg. 3

Iowa Workforce Monthly, March 2010, Issue 14

Highlights: * Iowa Workforce Development Director Elisabeth Buck and Deputy Director Joe Walsh recently visited a number of IowaWORKS offices in Eastern Iowa as part of a summer tour........................................pg. 2 * Amber Connolly was recently awarded the Iowa Association of Workplace Professionals (IAWP) individual award for Outstanding Specialized Customer Service...............pg. 2 * Iowa Workforce Development has partnered with Iowa’s Community Colleges to implement Iowa’s National Career Readiness Certificate (NCRC).................pg. 3 * O*NET is an occupational information network developed under the sponsorship of the U.S. Department of Labor/Employment and Training Administration.....................pg. 3