Background: Pranayama (yogic breathing) has demonstrated numerous beneficial health effects. At present, there are no systematic reviews evaluating the beneficial health effects of pranayama alone as a practice. Aim: The aim of this study is to perform a systematic review about the beneficial health effects of pranayama. Methods: Data were obtained using a stepwise search process by searching the online PubMed, Web of Science, and SciVerse Scopus databases using keywords. Controlled clinical trials in humans, using “Pranayama” as an intervention with an appropriate control group and evaluating health-related outcomes were selected for inclusion. Results: Initial database searching indicated 669 potentially eligible articles, of which 18 studies satisfying the inclusion/exclusion criteria were selected. All were controlled trials, of which 13 were randomized and 1 was a crossover study. Number of participants ranged from 16 to 160, and the duration of pranayama practice varied from 4 days to 6 months. Studies demonstrated a significant effect on cardiorespiratory functions, in patients with bronchial asthma, with the improvement of pulse rate, systolic blood pressure, and respiratory function measurements. Furthermore, reduction in the frequency of attacks, severity, and medication requirement was also observed, with improved quality of life (QOL). In patients with chronic obstructive pulmonary disease, symptom, activity, and impact scores were improved. QOL improvement was also noted in cancer patients. Conclusions: Available evidence on pranayama indicates physiological and psychological benefits. Beneficial effects were mostly observed in patients with respiratory diseases such as bronchial asthma. It also helped those with cancer and cardiovascular disease. However, further high-quality randomized trials are required to provide definitive evidence.

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Gating of sensory information can be assessed using an auditory conditioning-test paradigm which measures the reduction in the auditory evoked response to a test stimulus following an initial conditioning stimulus. Recording brainwaves from specific areas of the brain using multiple electrodes is helpful in the study of the neurobiology of sensory gating. In this paper, we use such technology to investigate the role of cannabinoids in sensory gating in the CA3 region of the rat hippocampus. Our experimental results show that application of the exogenous cannabinoid agonist WIN55,212-2 can abolish sensory gating. We have developed a phenomenological model of cannabinoid dynamics incorporated within a spiking neural network model of CA3 with synaptically interacting pyramidal and basket cells. Direct numerical simulations of this model suggest that the basic mechanism for this effect can be traced to the suppression of inhibition of slow GABA B synapses. Furthermore, by working with a simpler mathematical firing rate model we are able to show the robustness of this mechanism for the abolition of sensory gating.

Tendency to falling in older people, with and without cognitive impairment, living in an elderly home was assessed. A descriptive analytical study was carried out with 50 elderly people (25 males) aged between 60 - 85 years. Timed Up and Go (TUG) test and, Five Times Sit to Stand Test (FTSST) were used to determine risk of falling and functional lower extremity strength of each participant. The Folstein Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to assess cognition.The cognitive scores were significantly lower in fallers compared to non-fallers (p=0.0001). Fallers demonstrated significantly poor lower extremity strength (p=0.0001). Older people with cognitive impairment demonstrated poor functional lower extremity strength than those without cognitive impairement (p=0.002). The difference in falling tendency between males and females was not statistically significant.

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(2006) The role of cannabinoids in the neurobiology of sensory gating: a firing rate model study. Neurocomputing, 70 (10/12). pp. 1902-1906. ISSN 0925-2312 Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/421/1/CNS06_preprint.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the University of Nottingham End User licence and may be reused according to the conditions of the licence. For more details see: http://eprints.nottingham.ac.uk/end_user_agreement.pdf A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.

Aims: To identify risk factors for falls in older people with diabetes mellitus (DM) and to develop a low-cost fall risk screening tool.Methods: Older adults with DM (n=103; age=61.6+6.0years) were recruited from diabetic clinics. Demographic, DM specific factors, lower limb strength and sensation, cognition, fear of falling, hand reaction time, balance, mobility and gait parameters were assessed using validated methods. Falls were prospectively recorded over six months.Results: Past falls and female gender were identified as significant predictors of falls: history of falls and female gender increased fall rates by 4.62 (95% CI = 2.31 to 9.27) and 2.40 (95% CI = 1.04 to 5.54) respectively. Fall rates were significantly associated with Diabetic Neuropathy scores, HbA1c level, contrast sensitivity, quadriceps strength, postural sway, tandem balance, stride length and Timed Up and Go Test times. A multi-variable fall risk tool derived using five measures, revealed that absolute risk for multiple falls increased from 0% in participants with zero or one factor to 83% in participants with all five risk factors. Conclusions:Simple screening items for fall risk in people with DM were identified, with parsimonious explanatory risk factors. These findings help guide tailored interventions for preventing falls in DM.