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    Biomechanical risk in two dairy industries with different levels of mechanisation

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    Risks of biomechanical overload of the upper limbs and of altered posture are not well investigated in dairy industry. This study carries out an evaluation of ergonomic and postural risk in two cheese factories in North Sardinia, characterized by a different level of automation, in order to point out at the more dangerous activities for biomechanical overload and to check possible improvements determined by mechanization. Ergonomic analysis has been performed by using NIOSH and OSHA check-lists, and then using the Strain Index method for repetitive movements. Results show that mechanization has a great importance in reducting ergonomic risk, mainly in the salting phase, where SI was lowered from 40.5 to 4.5, and in the cheese shaping (SI 9 vs. 36). Some simple ergonomic solutions and preventive measures have been suggested. © PI-ME, Pavia 200

    Carpal tunnel syndrome among ewe dairy farmers in Sardinia, Italy

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    BACKGROUND: The region of Sardinia, Italy is known internationally for the production of cheeses made from ewe's milk. Although the use of automated milking equipment is available in ewe dairy operations, traditional hand milking is still performed on many ewe farms. The purpose of this study was to evaluate the prevalence of carpal tunnel syndrome (CTS) among farmers that manually milk ewes. METHODS: Worker demographics, upper limb symptoms, and electrophysiologic studies were obtained on 76 ewe farmers recruited from a random sample of 109 in northern Sardinia. Characteristic hand symptoms and electrophysiologic studies were used in the case definition of CTS. RESULTS: Of the 76 farmers evaluated, 42 (55.3%) fit the case definition of CTS in at least one hand. Assuming that all non-respondents did not have CTS, the CTS prevalence ratio would have been 38.5% (42/109) among the randomized sample of ewe farmers. CONCLUSIONS: These findings suggest that CTS is a significant occupational health issue for ewe farmers that continue the traditional methods of manual milking. The recent trend in automated ewe milking machines may help reduce the prevalence of CTS among the next generation of Italian ewe farmers. Am. J. Ind. Med. © 2012 Wiley Periodicals, Inc

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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