Prediction of chronic disability in work-related musculoskeletal disorders: a prospective, population-based study

BACKGROUND: Disability associated with work-related musculoskeletal disorders is an increasingly serious societal problem. Although most injured workers return quickly to work, a substantial number do not. The costs of chronic disability to the injured worker, his or her family, employers, and society are enormous. A means of accurate early identification of injured workers at risk for chronic disability could enable these individuals to be targeted for early intervention to promote return to work and normal functioning. The purpose of this study is to develop statistical models that accurately predict chronic work disability from data obtained from administrative databases and worker interviews soon after a work injury. Based on these models, we will develop a brief instrument that could be administered in medical or workers' compensation settings to screen injured workers for chronic disability risk. METHODS: This is a population-based, prospective study. The study population consists of workers who file claims for work-related back injuries or carpal tunnel syndrome (CTS) in Washington State. The Washington State Department of Labor and Industries claims database is reviewed weekly to identify workers with new claims for work-related back injuries and CTS, and these workers are telephoned and invited to participate. Workers who enroll complete a computer-assisted telephone interview at baseline and one year later. The baseline interview assesses sociodemographic, employment-related, biomedical/health care, legal, and psychosocial risk factors. The follow-up interview assesses pain, disability, and work status. The primary outcome is duration of work disability over the year after claim submission, as assessed by administrative data. Secondary outcomes include work disability status at one year, as assessed by both self-report and work disability compensation status (administrative records). A sample size of 1,800 workers with back injuries and 1,200 with CTS will provide adequate statistical power (0.96 for low back and 0.85 for CTS) to predict disability with an alpha of .05 (two-sided) and a hazard ratio of 1.2. Proportional hazards regression models will be constructed to determine the best combination of predictors of work disability duration at one year. Regression models will also be developed for the secondary outcomes

E7 proteins from oncogenic human papillomavirus types transactivate p73: role in cervical intraepithelial neoplasia

In common with other E2F1 responsive genes such as p14ARF and B-myb, the promoter of p73 is shown to be positively regulated in cell lines and primary human keratinocytes by E7 proteins from oncogenic human papillomavirus (HPV) types 16, 18, 31 and 33, but not HPV 6. Mutational analysis revealed that transactivation of the p73 promoter by HPV 16E7 requires association with pRb. Expression of p73 in normal cervical epithelium is confined to the basal and supra-basal layers. In contrast, expression in neoplastic lesions is detected throughout the epithelium and increases with grade of neoplasia, being maximal in squamous cell cancers (SCC). Deregulation of expression of the N-terminal splice variant p73Δ2 was observed in a significant proportion of cancers, but not in normal epithelium. The frequent over-expression of p73Δ2, which has recognized transdominant properties, in malignant and pre-malignant lesions suggests a role in the oncogenic process in cervical epithelium

Is a history of work-related low back injury associated with prevalent low back pain and depression in the general population?

<p>Abstract</p> <p>Background</p> <p>Little is known about the role of prior occupational low back injury in future episodes of low back pain and disability in the general population. We conducted a study to determine if a lifetime history of work-related low back injury is associated with prevalent severity-graded low back pain, depressive symptoms, or both, in the general population.</p> <p>Methods</p> <p>We used data from the Saskatchewan Health and Back Pain Survey – a population-based cross-sectional survey mailed to a random, stratified sample of 2,184 Saskatchewan adults 20 to 69 years of age in 1995. Information on the main independent variable was gathered by asking respondents whether they had ever injured their low back at work. Our outcomes, the 6-month period prevalence of severity-graded low back pain and depressive symptoms during the past week, were measured with valid and reliable questionnaires. The associations between prior work-related low back injury and our outcomes were estimated through multinomial and binary multivariable logistic regression with adjustment for age, gender, and other important covariates.</p> <p>Results</p> <p>Fifty-five percent of the eligible population participated. Of the 1,086 participants who responded to the question about the main independent variable, 38.0% reported a history of work-related low back injury. A history of work-related low back injury was positively associated with low intensity/low disability low back pain (OR, 3.66; 95%CI, 2.48–5.42), with high intensity/low disability low back pain (OR, 4.03; 95%CI, 2.41–6.76), and with high disability low back pain (OR, 6.76; 95%CI, 3.80–12.01). No association was found between a history of work-related low back injury and depression (OR, 0.85; 95%CI, 0.55–1.30).</p> <p>Conclusion</p> <p>Our analysis shows an association between past occupational low back injury and increasing severity of prevalent low back pain, but not depression. These results suggest that past work-related low back injury may be an important risk factor for future episodes of low back pain and disability in the general population.</p

Performance studies of the CMS strip tracker before installation

Peer reviewe

Temporal Diffusion of PV Microgeneration Systems in a Rural Developing Community

An agent-based model (ABM) is developed in Netlogo as a tool for evaluating the impacts of socio-economic factors on the temporal diffusion of PV-based communal grids in a rural developing community. ABMs model individual entities within a complex system and the rules that govern the interactions of the entities within the system, to capture the overall effect of such interactions. The results show that introduction of a subsidy of $0.15/kWh would result in an increase of 249% in communal grid connections. The results also show that increasing the sensing radius from 1 km to 2 km would result in an increase of 118% in communal grid connections. Introduction of favourable government policies in the form of subsidies, coupled with increasing social acceptance, would therefore lead to increased PV installations and correspondingly to increased communal grid connections

A survey informed modelling of temporal diffusion of PV-based communal grids in a rural developing community

An agent-based model (ABM) is developed in Netlogo as a tool for evaluating temporal diffusion of PV-based communal grids in a rural developing community. ABMs model individual entities within a complex system and the rules that govern the interactions of the entities within the system, to capture the overall effect of such interactions. Results show that given various choices, small PV mircogeneration systems would emerge as the prefered source of electrification for many households. Also, with increasing power demands, many household would prefer communal grids to the national utility grid. Furthermore, introduction of favourable government policies in the form of subsidies and mircocredit facilities, coupled with increasing social acceptance, would lead to increased PV installations and correspondingly to increased communal grid connections. Specifically, introduction of a subsidy of $0.15/kWh would result in an increase of 249% in communal grid connections. Increasing the sensing radius from 1 km to 2 km would result in an increase of 118% in communal grid connections