Random amplified polymorphic DNA (RAPD) and isozyme electrophoresis (IE) techniques were used to estimate the level of genetic diversity in a sample of cacao germplasm existing at the International Cocoa Genebank, Trinidad. Twenty-six cocoa populations represented by 459 cocoa genotypes were analysed using IE and 22 populations represented by 353 cocoa genotypes were analysed using RAPD. Despite few differences in the classification of the populations, both techniques revealed three major groups: the indigenous trees, the cultivated Trinitario and the cultivated trees from Ecuador. Two-thirds of the partitioned diversity were found within populations and one-third between the populations, with both techniques.

Background: A ban on smoking in wholly or substantially enclosed public places has been in place in Scotland since 26 th March 2006. The impact of this legislation is currently being evaluated in seven studies, three of which involve direct observation of smoking in bars and other enclosed public places. While the ethical issues around covert observation have been widely discussed there is little practical guidance on the conduct of such research. A workshop was therefore convened to identify practical lessons learned so far from the Scottish evaluation.

Our findings suggest a possible role of occupational exposures in the development of both lymphoid and myeloid leukaemia. Exposure to benzene seemed to be associated with both acute and chronic myeloid leukaemia.

At present, the relationship between chronic exposure to static magnetic fields (SMF) and health effects is unclear. We developed a task-based deterministic model for estimating historical electromagnetic field exposure from the static B-field (B0) of magnetic resonance imaging (MRI) systems, for a cohort of employees working at an MRI systems development and production facility. Technical maps describing the spatial distribution of fringe fields of B0 surrounding different types of MRI systems of various core strengths were exploited to derive estimates of static B0 exposure as a function of distance from the bore of the MRI system. Detailed information on tasks performed per exposed job and other model determinants were acquired through face-to-face interviews and used to derive base estimates of most recent exposure (2009) for each job title. The model was partially validated with actual exposure measurements. The exposure estimates from the deterministic model were used to construct a job-exposure matrix that will enable estimation of cumulative exposures for each cohort member. The generic approach described for estimating chronic MRI-related SMF exposure makes it universally applicable in other studies investigating health effects of MRI-related SMF exposure.

The regulatory risk assessment of chemicals requires the estimation of occupational dermal exposure. Until recently, the models used were either based on limited data or were specific to a particular class of chemical or application. The EU project RISKOFDERM has gathered a considerable number of new measurements of dermal exposure together with detailed contextual information. This article describes the development of a set of generic task-based models capable of predicting potential dermal exposure to both solids and liquids in a wide range of situations. To facilitate modelling of the wide variety of dermal exposure situations six separate models were made for groupings of exposure scenarios called Dermal Exposure Operation units (DEO units). These task-based groupings cluster exposure scenarios with regard to the expected routes of dermal exposure and the expected influence of exposure determinants. Within these groupings linear mixed effect models were used to estimate the influence of various exposure determinants and to estimate components of variance. The models predict median potential dermal exposure rates for the hands and the rest of the body from the values of relevant exposure determinants. These rates are expressed as mg or microl product per minute. Using these median potential dermal exposure rates and an accompanying geometric standard deviation allows a range of exposure percentiles to be calculated.

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Heavy fuel oil (HFO) components are a group of heavy petroleum streams produced in oil refineries from crude oil. Due to its physicochemical properties, the dermal route is an important route of exposure. However, no information on dermal exposure levels for HFO has previously been published. A method for measuring dermal HFO levels was developed using wipe sampling and measuring phenanthrene and naphthalene as markers of HFO exposure. Measurement surveys were carried out in four different types of facilities: oil refineries, distribution terminals, energy providers, and an engine building and repair company. Dermal wipe samples were collected from different anatomical regions: neck, hands, and forearms. The frequency of tasks with potential for dermal HFO exposure was generally low at these facilities, with the exception of the distribution terminals and the engine building and repair site. The geometric mean (GM) dermal load on the hands was ∼0.1 μg cm(-2) for both left and right hand and 0.013 and 0.019 μg cm(-2) for the left and right forearm, respectively. With one exception, all results from the neck samples were below the limit of detection. The highest dermal loads for the hands and forearms were found in the engine building and repair facility (hands: GM = 1.6 μg cm(-2); forearms: GM = 0.41 μg cm(-2)). The tasks with the highest dermal loads were the maintenance (hands: GM = 1.7 μg cm(-2)) and cleaning tasks (hands: GM = 0.24 μg cm(-2)). Actual dermal loads were low when compared with workplace dermal exposure measurements reported by other researchers for similar scenarios with other substances. This may be explained by high compliance of gloves use by workers during HFO handling tasks and likely avoidance of contact with HFO due to its high viscosity and the requirement to keep HFO at elevated temperatures during storage, transport, and use.

Objectives In epidemiological studies, occupational exposure levels are often assigned through linkage of job histories with job-exposure matrices (JEMs). For a cohort where jobs were originally coded using a Dutch occupational coding system (CBS-84), jobs needed to be re-coded to to facilitate the application of several JEMs. The aim of this study was to investigate whether using a crosswalk to recode occupational codes would result in similar exposure estimates to those obtained when jobs were manually coded from questionnaires. Methods Crosswalks were developed and used to recode occupational codes from CBS-84 to ISCO-68 and ISCO-88. A subset of jobs (n=220) was also manually coded from questionnaires to ISCO-68 and ISCO-88. JEMs were applied to the occupational codes resulting from manual coding and from applying crosswalks. Ten occupational exposures were linked, among which chromium, asbestos, silica, pesticides, and electromagnetic fi elds. Estimated exposure levels for participants were compared between the manual coders and between coders and crosswalks. Results A moderate to high level of agreement on estimated exposures was observed between the two coders (Cohen's κ = 0.68 or higher). Estimated exposures based on the crosswalks showed a slightly lower agreement with those based on manual coding (Cohen's κ = 0.55 or higher). Conclusions Results of this study indicate that using crosswalks to recode occupational codes to the necessary occupational classifi cation results only in a limited loss in agreement of assigned exposures as compared to manual coding. Therefore, crosswalks could be an effi cient alternative to coding directly from questionnaires. on 2 May 2019 by guest. Protected by copyright.