Bamboo fibres and their unique properties

This paper collates the different properties of bamboo fibres as claimed by bamboo fibre and product manufacturers. The available information suggests that bamboo fibres have unique properties such as excellent appearance and feel, natural antibacterial, UV-shielding and moisture-controlling characteristics. Hence bamboo fibres provide a very promising alternative to other natural fibres by virtue of their novel properties. However, those properties may largely depend on the manufacturing process, which is not widely disclosed. Moreover, common manufacturing process may require the use of a large amount of chemicals and hence further process development may be required in order to make the product truly eco-friendly. It is identified that the data of those unique properties rarely appear in scientific journals and the validity of those claims can be speculative. Therefore, there is a strong need for non-biased scientific research and evaluation on the unique properties of bamboo fibres.

Scale matters : the need for a Bipolar Depression Rating Scale (BDRS)

Objective: To briefly review the clinical and biological distinctions between unipolar and bipolar depression critiquing in particular currently available depression rating scales and discuss the need for a new observer-rated scale tailored to bipolar depression.

Method: Relevant literature pertaining to the symptomatic differences between bipolar disorder and unipolar disorder as well as their measurement using existing assessment scales was identified by computerized searches and reviews of scientific journals known to the authors.

Results: Bipolar depression is distinct from unipolar depression in terms of phenomenology and clinical characteristics. These distinguishing features can be used to identify bipolarity in patients that present with recurrent depressive episodes. This is important because current self-report and observer-rated scales are optimized for unipolar depression, and hence limited in their ability to accurately assess bipolar depression.

Conclusion: The development of a specific bipolar depression rating scale will improve the assessment of bipolar depression in both research and clinical settings and assist the development of better treatments and interventions.

Review of the quality of studies on the economic effects of smoke-free policies on the hospitality industry

Objective: To compare the quality and funding source of studies concluding a negative economic impact of smoke-free policies in the hospitality industry to studies concluding no such negative impact.

Data sources: Researchers sought all studies produced before 31 August 2002. Articles published in scientific journals were located with Medline, Science Citation Index, Social Sciences Citation Index, Current Contents, PsychInfo, Econlit, and Healthstar. Unpublished studies were located from tobacco company websites and through internet searches.

Study selection: 97 studies that made statements about economic impact were included. 93% of the studies located met the selection criteria as determined by consensus between multiple reviewers.

Data extraction: Findings and characteristics of studies (apart from funding source) were classified independently by two researchers. A third assessor blind to both the objective of the present study and to funding source also classified each study.

Data synthesis: In studies concluding a negative impact, the odds of using a subjective outcome measure was 4.0 times (95% confidence interval (CI) 1.4 to 9.6; p = 0.007) and the odds of not being peer reviewed was 20 times (95% CI 2.6 to 166.7; p = 0.004) that of studies concluding no such negative impact. All of the studies concluding a negative impact were supported by the tobacco industry. 94% of the tobacco industry supported studies concluded a negative economic impact compared to none of the non-industry supported studies.

Conclusion: All of the best designed studies report no impact or a positive impact of smoke-free restaurant and bar laws on sales or employment. Policymakers can act to protect workers and patrons from the toxins in secondhand smoke confident in rejecting industry claims that there will be an adverse economic impact.

A consensus statement for safety monitoring guidelines of treatments for major depressive disorder

Objective: This paper aims to present an overview of screening and safety considerations for the treatment of clinical depressive disorders and make recommendations for safety monitoring.
Method: Data were sourced by a literature search using MEDLINE and a manual search of scientific journals to identify relevant articles. Draft guidelines were prepared and serially revised in an iterative manner until all co-authors gave final approval of content.
Results: Screening and monitoring can detect medical causes of depression. Specific adverse effects associated with antidepressant treatments may be reduced or identified earlier by baseline screening and agent-specific monitoring after commencing treatment.
Conclusion: The adoption of safety monitoring guidelines when treating clinical depression is likely to improve overall physical health status and treatment outcome. It is important to implement these guidelines in the routine management of clinical depression.

The effects of training on performance and performance-related states in individual elite athletes : a dynamic approach

There are difficulties undertaking controlled training studies with elite athletes. Thus, data from non-elite performers are often presented in scientific journals and subsequently used to guide general training principles. This information may not be transferable or specific enough to inform training practices in an individual elite athlete. However, the nature of athletic participation at elite levels provides the opportunity to collect training data, performance-related variables, and performance data of elite athletes over long periods. In this paper, we describe how dynamic linear models provide an opportunity to use these data to inform training. Data from an elite female triathlete collected over a 111-day training period were used to model the relationship between training and self-reported fatigue. The dynamic linear model analysis showed the independent effects of the three modes of triathlon training on fatigue, how these can change across time, and the possible influence of other unmeasured variables. This paper shows the potential for the use of dynamic linear models as an aid to planning training in elite athletes.