189 research outputs found
Effectiveness of three interventions for secondary prevention of low back pain in the occupational health setting - a randomised controlled trial with a natural course control
Background: We assessed the effectiveness of three interventions that were aimed to reduce non-acute low back pain (LBP) related symptoms in the occupational health setting. Methods: Based on a survey (n = 2480; response rate 71%) on LBP, we selected a cohort of 193 employees who reported moderate LBP (Visual Analogue Scale VAS > 34 mm) and fulfilled at least one of the following criteria during the past 12 months: sciatica, recurrence of LBP >= 2 times, LBP >= 2 weeks, or previous sickness absence. A random sample was extracted from the cohort as a control group (Control, n = 50), representing the natural course of LBP. The remaining 143 employees were invited to participate in a randomised controlled trial (RCT) of three 1:1:1 allocated parallel intervention arms: multidisciplinary rehabilitation (Rehab, n = 43); progressive exercises (Physio, n = 43) and self-care advice (Advice, n = 40). Seventeen employees declined participation in the intervention. The primary outcome measures were physical impairment (PHI), LBP intensity (Visual Analogue Scale), health related quality of life (QoL), and accumulated sickness absence days. We imputed missing values with multiple imputation procedure. We assessed all comparisons between the intervention groups and the Control group by analysing questionnaire outcomes at 2 years with ANOVA and sickness absence at 4 years by using negative binomial model with a logarithmic link function. Results: Mean differences between the Rehab and Control groups were - 3 [95% CI -5 to - 1] for PHI, - 13 [- 24 to - 1] for pain intensity, and 0.06 [0.00 to 0.12] for QoL. Mean differences between the Physio and Control groups were - 3 [95% CI -5 to - 1] for PHI, -13 [- 29 to 2] for pain intensity, and 0.07 [0.01 to 0.13] for QoL. The main effects sizes were from 0.4 to 0.6. The interventions were not effective in reducing sickness absence. Conclusions: Rehab and Physio interventions improved health related quality of life, decreased low back pain and physical impairment in non-acute, moderate LBP, but we found no differences between the Advice and Control group results. No effectiveness on sickness absence was observed.Peer reviewe
Biogeographic historical legacies in the net primary productivity of Northern Hemisphere forests
Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
A pressing problem for supersymmetry (SUSY) phenomenologists is how to
incorporate Large Hadron Collider search results into parameter fits designed
to measure or constrain the SUSY parameters. Owing to the computational expense
of fully simulating lots of points in a generic SUSY space to aid the
calculation of the likelihoods, the limits published by experimental
collaborations are frequently interpreted in slices of reduced parameter
spaces. For example, both ATLAS and CMS have presented results in the
Constrained Minimal Supersymmetric Model (CMSSM) by fixing two of four
parameters, and generating a coarse grid in the remaining two. We demonstrate
that by generating a grid in the full space of the CMSSM, one can interpolate
between the output of an LHC detector simulation using machine learning
techniques, thus obtaining a superfast likelihood calculator for LHC-based SUSY
parameter fits. We further investigate how much training data is required to
obtain usable results, finding that approximately 2000 points are required in
the CMSSM to get likelihood predictions to an accuracy of a few per cent. The
techniques presented here provide a general approach for adding LHC event rate
data to SUSY fitting algorithms, and can easily be used to explore other
candidate physics models.Comment: 20 pages, 7 figures, replaced to correct author contact detail
Probabilistic modeling and machine learning in structural and systems biology
This supplement contains extended versions of a selected subset of papers presented at the workshop PMSB 2007, Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, from June 17 to 18, 2006
Cost-effectiveness of providing patients with information on managing mild low-back symptoms in an occupational health setting
Background: Evidence shows that low back specific patient information is effective in sub-acute low back pain (LBP), but effectiveness and cost-effectiveness (CE) of information in early phase symptoms is not clear. We assessed effectiveness and CE of patient information in mild LBP in the occupational health (OH) setting in a quasi-experimental study. Methods: A cohort of employees (N = 312, aged Results: Compared to NC, the Booklet reduced HC costs by 196(sic) and SA by 3.5 days per year. In 81 % of the bootstrapped cases the Booklet was both cost saving and effective on SA. Compared to NC, in the Combined arm, the figures were 107(sic), 0.4 days, and 54 %, respectively. PHI decreased in both interventions. Conclusions: Booklet information alone was cost-effective in comparison to natural course of mild LBP. Combined information reduced HC costs. Both interventions reduced physical impairment. Mere booklet information is beneficial for employees who report mild LBP in the OH setting, and is also cost saving for the health care system.Peer reviewe
Prevalence of pelagic dependence among coral reef predators across an atoll seascape
1)Coral reef food webs are complex, vary spatially and remain poorly understood. Certain large predators, notably sharks, are subsidised by pelagic production on outer reef slopes, but how widespread this dependence is across all teleost fishery target species and within atolls is unclear.
2)North MalĂ© Atoll (Maldives) includes oceanic barrier as well as lagoonal reefs. Nine fishery target predators constituting ca. 55% of the local fishery target species biomass at assumed trophic levels 3â5 were selected for analysis. Data were derived from carbon (ÎŽ13C), nitrogen (ÎŽ15N) and sulfur (ÎŽ34S) stable isotopes from predator white dorsal muscle samples, and primary consumer species representing production source endâmembers.
3)Threeâsource Bayesian stable isotope mixing models showed that uptake of pelagic production extends throughout the atoll, with predatory fishes showing equal planktonic reliance between inner and outer edge reefs. Median plankton contribution was 65â80% for all groupers and 68â88% for an emperor, a jack and snappers.
4)Lagoonal and atoll edge predators are equally at risk from anthropogenic and climateâinduced changes which may impact the linkages they construct, highlighting the need for management plans that transcend the boundaries of this threatened ecosystem
Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods
Evidence accumulation models are a useful tool to allow researchers to investigate the latent cognitive variables that underlie response time and response accuracy. However, applying evidence accumulation models can be difficult because they lack easily computable forms. Numerical methods are required to determine the parameters of evidence accumulation that best correspond to the fitted data. When applied to complex cognitive models, such numerical methods can require substantial computational power which can lead to infeasibly long compute times. In this paper, we provide efficient, practical software and a step-by-step guide to fit evidence accumulation models with Bayesian methods. The software, written in C++, is provided in an R package: 'ggdmc'. The software incorporates three important ingredients of Bayesian computation, (1) the likelihood functions of two common response time models, (2) the Markov chain Monte Carlo (MCMC) algorithm (3) a population-based MCMC sampling method. The software has gone through stringent checks to be hosted on the Comprehensive R Archive Network (CRAN) and is free to download. We illustrate its basic use and an example of fitting complex hierarchical Wiener diffusion models to four shooting-decision data sets
Determinants of high residual post-PCV13 pneumococcal vaccine-type carriage in Blantyre, Malawi:a modelling study
Background
In November 2011, Malawi introduced the 13-valent pneumococcal conjugate vaccine (PCV13) into the routine infant schedule. Four to 7 years after introduction (2015â2018), rolling prospective nasopharyngeal carriage surveys were performed in the city of Blantyre. Carriage of Streptococcus pneumoniae vaccine serotypes (VT) remained higher than reported in high-income countries, and impact was asymmetric across age groups.
Methods
A dynamic transmission model was fit to survey data using a Bayesian Markov-chain Monte Carlo approach, to obtain insights into the determinants of post-PCV13 age-specific VT carriage.
Results
Accumulation of naturally acquired immunity with age and age-specific transmission potential were both key to reproducing the observed data. VT carriage reduction peaked sequentially over time, earlier in younger and later in older age groups. Estimated vaccine efficacy (protection against carriage) was 66.87% (95% CI 50.49â82.26%), similar to previous estimates. Ten-year projected vaccine impact (VT carriage reduction) among 0â9âyears old was lower than observed in other settings, at 76.23% (CI 95% 68.02â81.96%), with sensitivity analyses demonstrating this to be mainly driven by a high local force of infection.
Conclusions
There are both vaccine-related and host-related determinants of post-PCV13 pneumococcal VT transmission in Blantyre with vaccine impact determined by an age-specific, local force of infection. These findings are likely to be generalisable to other Sub-Saharan African countries in which PCV impact on carriage (and therefore herd protection) has been lower than desired, and have implications for the interpretation of post-PCV carriage studies and future vaccination programs.</p
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