Daily music listening to reduce work-related stress: a randomized controlled pilot trial.

BACKGROUND: Literature shows that music can reduce stress conditions. This pilot study investigated the effects of music listening on work-related stress and well-being in healthcare professionals. METHOD: A total of 45 subjects were randomly assigned to three treatment groups: No Music, Individualized Music and Melomics-Health Listening. Music groups experienced a daily 30-min-playlist listening for 3 weeks at home. The Maugeri Stress Index-Revised (MASI-R) and the Psychological General Well-Being Index (PGWBI) were administered at baseline, after 3 weeks and after 7 weeks (follow-up). Longitudinal data were analyzed by means of a nested ANOVA model, testing the main effects of time and treatment and the interaction between them. RESULTS: MASI-R scores showed a positive trend in music groups and a worsening in the control group. Only the interaction time/treatment emerged as supporting a trend toward statistical significance (P = 0.07). PGWBI showed a stability in music groups and a clear decline in controls, without significant effects. CONCLUSIONS: Results from the study support the need for a larger clinical trial: it is suggested that daily music listening could be implemented to reduce work-related stress and that the effects may be related, not only to individual musical preferences and familiarity, but also to specific music structures and parameters.

The SonicHand Protocol for Rehabilitation of Hand Motor Function: A Validation and Feasibility Study.

Musical sonification therapy is a new technique that can reinforce conventional rehabilitation treatments by increasing therapy intensity and engagement through challenging and motivating exercises. The aim of this paper is to evaluate the feasibility and validity of the SonicHand protocol, a new training and assessment method for the rehabilitation of hand function. The study was conducted in 15 healthy individuals and 15 stroke patients. The feasibility of implementation of the training protocol was tested in stroke patients only, who practiced a series of exercises concurrently to music sequences produced by specific movements. The assessment protocol evaluated hand motor performance during pronation/supination, wrist horizontal flexion/extension, and hand grasp without sonification. From hand position data, 15 quantitative parameters were computed evaluating mean velocity, movement smoothness, and angular excursions of hand/fingers. We validated this assessment in terms of its ability to discriminate between patients and healthy subjects, test-retest reliability and concurrent validity with the upper limb section of the Fugl-Meyer scale (FM), the functional independence measure (FIM), and the Box and Block Test (BBT). All patients showed a good understanding of the assigned tasks and were able to correctly execute the proposed training protocol, confirming its feasibility. A moderate-to-excellent intraclass correlation coefficient was found in 8/15 computed parameters. The moderate-to-strong correlation was found between the measured parameters and the clinical scales. The SonicHand training protocol is feasible and the assessment protocol showed good to excellent between-group discrimination ability, reliability, and concurrent validity, thus enabling the implementation of new personalized and motivating training programs employing sonification for the rehabilitation of hand function.

Partition coefficients of methyl tert-butyl ether (MTBE).

The knowledge of the partition coefficients between the air and arterial blood and between the blood and the different physiological compartments of the body are essential to the mathematical modelling of the respiratory uptake and elimination of toxic vapours. Partition coefficients of methyl tertbutyl ether (MTBE) in saline, olive oil, urine and human blood, and various rat tissues were calculated after gas-chromatographic quantification of MTBE in the air phase. The blood/air, urine/air saline/air, fat/air and oil/air partition coefficients (lambda) are respectively: 20.0, 15.6, 15.3, 142.0 and 138.