Investigation of work-related disorders in truck drivers using RULA method.

A high incidence of spinal disorders is observed in professional drivers; in particular, back and neck pain result in high rates of morbidity and low retirement age. A sample of 77 drivers, of rubbish-collection vehicles who sit in a standard posture and of road-washing vehicles, who drive with the neck and trunk flexed, bent and twisted, was studied using RULA, a method for the evaluation of the exposure to risk factors associated with work-related upper-limb disorders. Results showed a significant association between trunk and neck scores and all self-reported pains, aches or discomforts in the trunk or neck regions in all subjects. In particular, the neck score was significant in both postures, reflecting high loading of the neck. Significantly different posture scores were also recorded for drivers using an adjustable vs. a non-adjustable seat. In this first RULA study of the working posture of professional truck drivers, the method proved to be a suitable tool for the rapid evaluation of the loading of neck and trunk.

Histological techniques and microscopic analysis of biological agents for preservation of human bone remains.

Microscopy and histology techniques can be applied to morphological study of fungi and bacteria contaminating ancient human osteological remains. Undecalcified samples are cut with a diamond rotary blade microtome and an original technique was applied using adhesive tape to prevent damage to the bone surface during sectioning. We used light microscopy, polarized light microscopy, and epi-illumination fluorescence systems. Common dyes can be applied to 80 microm sections using classic staining techniques to reveal the architecture of bone and the presence of infecting biological agents.

Effects of altitude, ethnicity-religion, geographical distance, and occupation on adult anthropometric characters of eastern Himalayan populations.

With a view to estimating the effect of altitude on body dimensions vis-à-vis ethnicity-religion, geographical distance, and occupation, a comprehensive multivariate statistical analysis was performed on data pertaining to 16 anthropometric characters collected from 1,103 individuals (643 males and 460 females) belonging to two ethnic groups-Sherpa and Lepcha. Samples were drawn from several locations in the eastern Himalayan region-Darjeeling and Kalimpong in West Bengal (India), and Nepal, situated at low (1,000-2,000 meters) and high (above 3,500 meters) altitudes. The individuals sampled practice different occupations and follow different religions. Significant age and sex effects were observed. The data were age-adjusted, and sexes were treated separately. A test of equality of mean vectors indicated heterogeneity among population groups. Almost all characters were found to contribute significantly to the ability to discriminate between the groups. The overall probability of correctly classifying an individual based on body dimensions into the group in which she or he actually belongs was high (between 0.64 and 0.77). Shape and size factors could be identified that explained about 50% of the total variance and yielded a reasonable separation of the groups. Results of four different types of multivariate statistical analyses were in agreement, and showed that altitude is most highly associated with body dimensions.

Anthropometry of Sherpa men.

On 109 male Sherpas, aged 18--85 years, 24 anthropometric measurements were performed, including weight, height, 18 bony measurements, 2 limb circumferences, and 4 skinfolds. From these data, upper and lower limb lengths, 12 indices, and total body fat were calculated. The Sherpas are of medium stature and body build, with Mongoloid cranial and facial characteristics and very little body fat. Their relatively large chests, long legs, and large calf muscles may be a racial adaptation to the high altitude at which they live and to the load-carrying, which is a feature of their life.