5 resultados para industrial hygiene
em DigitalCommons@The Texas Medical Center
Resumo:
Objective. The goal of this study is to characterize the current workforce of CIHs, the lengths of professional practice careers of the past and current CIHs.^ Methods. This is a secondary data analysis of data compiled from all of the nearly 50 annual roster listings of the American Board of Industrial Hygiene (ABIH) for Certified Industrial Hygienists active in each year since 1960. Survival analysis was performed as a technique to measure the primary outcome of interest. The technique which was involved in this study was the Kaplan-Meier method for estimating the survival function.^ Study subjects: The population to be studied is all Certified Industrial Hygienists (CIHs). A CIH is defined by the ABIH as an individual who has achieved the minimum requirements for education, working experience and through examination, has demonstrated a minimum level of knowledge and competency in the prevention of occupational illnesses. ^ Results. A Cox-proportional hazards model analysis was performed by different start-time cohorts of CIHs. In this model we chose cohort 1 as the reference cohort. The estimated relative risk of the event (defined as retirement, or absent from 5 consecutive years of listing) occurred for CIHs for cohorts 2,3,4,5 relative to cohort 1 is 0.385, 0.214, 0.234, 0.299 relatively. The result show that cohort 2 (CIHs issued from 1970-1980) has the lowest hazard ratio which indicates the lowest retirement rate.^ Conclusion. The manpower of CIHs (still actively practicing up to the end of 2009) increased tremendously starting in 1980 and grew into a plateau in recent decades. This indicates that the supply and demand of the profession may have reached equilibrium. More demographic information and variables are needed to actually predict the future number of CIHs needed. ^
Resumo:
The objective of this dissertation was to design and implement strategies for assessment of exposures to organic chemicals used in the production of a styrene-butadiene polymer at the Texas Plastics Company (TPC). Linear statistical retrospective exposure models, univariate and multivariate, were developed based on the validation of historical industrial hygiene monitoring data collected by industrial hygienists at TPC, and additional current industrial hygiene monitoring data collected for the purposes of this study. The current monitoring data served several purposes. First, it provided information on current exposure data, in the form of unbiased estimates of mean exposure to organic chemicals for each job title included. Second, it provided information on homogeneity of exposure within each job title, through the use of a carefully designed sampling scheme which addressed variability of exposure both between and within job titles. Third, it permitted the investigation of how well current exposure data can serve as an evaluation tool for retrospective exposure estimation. Finally, this dissertation investigated the simultaneous evaluation of exposure to several chemicals, as well as the use of values below detection limits in a multivariate linear statistical model of exposures. ^
Resumo:
The topic of occupational health and safety (OHS) has been investigated for many years and continues to be a concept often researched today. Generally speaking OHS research has been centered around food safety, construction safety, transportation safety, fire safety, drug and alcohol testing, health and medical management, and industrial hygiene to name a few. However, the concept of OHS concerning female commercial sex workers (FCSWs) has rarely been investigated, often neglected, seldom discussed and is lacking in sound research. Although regarded as the "oldest profession", commercial sex work (CSW) has consistently been ignored, disregarded and under-researched due to the illegality and stigmatization of prostitution. This paper reviews occupational safety and health issues faced by FCSWs in Tema and Accra, Ghana, through in-depth interviews, visits to women's homes, field work, informal conversations and participant observations with FCSWs over a period of two months. Facets of OHS that emerged among FCSWs included sexually transmissible infections, risks associated with harassment and violence from police and clients, alcohol and drug use, irregular hospital visits and/or lack of hospital visits, immigration issues, legal and policing risks. We argue that CSW be viewed as an occupation in great need of interventions to reduce workplace risks and improve the health and safety of FCSWs^
Resumo:
Accurate quantitative estimation of exposure using retrospective data has been one of the most challenging tasks in the exposure assessment field. To improve these estimates, some models have been developed using published exposure databases with their corresponding exposure determinants. These models are designed to be applied to reported exposure determinants obtained from study subjects or exposure levels assigned by an industrial hygienist, so quantitative exposure estimates can be obtained. ^ In an effort to improve the prediction accuracy and generalizability of these models, and taking into account that the limitations encountered in previous studies might be due to limitations in the applicability of traditional statistical methods and concepts, the use of computer science- derived data analysis methods, predominantly machine learning approaches, were proposed and explored in this study. ^ The goal of this study was to develop a set of models using decision trees/ensemble and neural networks methods to predict occupational outcomes based on literature-derived databases, and compare, using cross-validation and data splitting techniques, the resulting prediction capacity to that of traditional regression models. Two cases were addressed: the categorical case, where the exposure level was measured as an exposure rating following the American Industrial Hygiene Association guidelines and the continuous case, where the result of the exposure is expressed as a concentration value. Previously developed literature-based exposure databases for 1,1,1 trichloroethane, methylene dichloride and, trichloroethylene were used. ^ When compared to regression estimations, results showed better accuracy of decision trees/ensemble techniques for the categorical case while neural networks were better for estimation of continuous exposure values. Overrepresentation of classes and overfitting were the main causes for poor neural network performance and accuracy. Estimations based on literature-based databases using machine learning techniques might provide an advantage when they are applied to other methodologies that combine `expert inputs' with current exposure measurements, like the Bayesian Decision Analysis tool. The use of machine learning techniques to more accurately estimate exposures from literature-based exposure databases might represent the starting point for the independence from the expert judgment.^
Resumo:
This study (1) established comedogenicity dose response curves for the pure compounds of 3,3$\sp\prime$,4,4$\sp\prime$-tetrachloroazobenzene (TCAB) and 3,3$\sp\prime$,4,4$\sp\prime$-tetrachloroazoxybenzene (TCAOB) individually and as a couple-compound using a rabbit ear model; (2) used a rabbit ear model to establish comedogenicity potential for TCAB and TCAOB as they existed in a given industrial herbicide manufacture process; (3) evaluated actual environmental contamination in a herbicide industrial setting by air monitoring and wipe sampling; (4) biologically monitored potentially exposed workers for alterations in follicular orifice size as an index of actual exposure to chloracnegenic compounds; and (5) biologically monitored potentially exposed workers for changes in weight, cholesterol, triglycerides and blood sugar.^ A silastic monomer mold (an objective measure) was used to measure change in follicular orifice size over time. This required taking impressions of (1) skin of the forehead and right and left malar crescents of workers and (2) the skin of the external ear of the rabbit. Molds were stained using a solution of hematoxylin and digitized using a Nikon UFX microscope (magnification 300 X), a drawing tube and a digitizing tablet attached to an IBM Personal Computer. Comedogenicity assays were used to establish dose-response curves for TCAB, TCAOB and the couple-compound TCAB + TCAOB.^ No evidence of chloracne or toxicity was observed in any of the workers. Nor, was there a statistically significant increase in size of follicular orifice means measured over time. This was attributed to extensive personal and environmental hygiene programs along with teaching the workers about chloracne, its cause and its prevention. These programs may have been the greatest factor in preventing the development of chloracne in this group of workers. Monitoring of the plant environment showed relatively high concentrations of the couple-compound (TCAB + TCAOB). Comedogenicity assays showed a linear dose-response relationship over time for TCAB, TCAOB and the couple-compound. An antagonistic action was found for the TCAB/TCAOB of the couple-compound; such action may provide some protection to workers in this type of setting. It is speculated that the observed antagonistic action may be due to the difference in binding affinities of TCAB/TCAOB for receptor sites. ^