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Construction workers are frequently exposed to safety hazards on sites. Wearable sensing systems (e.g. wearable inertial measurement units (WIMUs), wearable insole pressure system (WIPS)) have been used to collect workers' gait patterns for distinguishing safety hazards. However, the performance of measuring WIPS-based gait parameters for identifying safety hazards as compared to a reference system (i.e. WIMUs) has not been studied. Therefore, this study examined the validity and reliability of measuring WIPS-based gait parameters as compared to WIMU-based gait parameters for distinguishing safety hazards in construction.

Five fall-risk events were conducted in a laboratory setting, and the performance of the proposed approach was assessed by calculating the mean difference (MD), mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE) and intraclass correlation coefficient (ICC) of five gait parameters.

Comparable results of MD, MAE, MAPE and RMSE were found between WIPS-based gait parameters and the reference system. Furthermore, all measured gait parameters had validity (ICC = 0.751) and test-retest reliability (ICC = 0.910) closer to 1, indicating a good performance of measuring WIPS-based gait parameters for distinguishing safety hazards.

Overall, this study supports the relevance of developing a WIPS as a noninvasive wearable sensing system for identifying safety hazards on construction sites, thus highlighting the usefulness of its applications for construction safety research.

This is the first study to examine the performance of a wearable insole pressure system for identifying safety hazards in construction.

The construction industry contributes significantly to national economic growth and offers substantial opportunities for job creation; however, the industry has continually been plagued by workplace accidents. Moreover, employers may not realize the economic magnitude of workplace injury and ill health arising from construction activities. These accidents represent a considerable economic and social burden to employers, employees and to the society as a whole. Despite governments and organisations worldwide maintaining an ongoing commitment towards establishing a working environment free of injury and disease, a great deal of construction accidents continues to frequent our society. The purpose of this study is to conduct an analysis of a sample of 100 construction accident reports to establish, as far as practically reasonable, the total costs of limited types of construction accidents. Costs attributable to each of these accidents were classified either as direct or indirect costs. Through an exhaustive and time-consuming investigation of all available records from various sources and/or kept in various departments, the individual costs were correlated to the various direct and indirect categories.

This particular study is a combination of explanatory and collective case study approaches, whereby causal effects are determined or a course of events is examined from multiple cases. The preferred form of data collection is left to the researcher to decide (Yin, 2003). When a researcher is considering “how” or “why” questions, a contemporary set of events using primary and secondary documents, over which the researcher has little or no control, the case study approach is feasible (Yin, 2009).

The costs of construction accidents for the same sample of 100 construction analysed in this study has been estimated at a staggering R32,981,200. Of this total, R10,087,350 has been attributed to direct costs and R22,893,850 has been attributed to indirect costs. The costs of construction accidents are based on four cost components: sick pay, administrative costs, recruitment costs and compensation and insurance costs. It should be noted that the estimates of the costs to employers presented in this study are reflective of the activities and incidents of the reviewed organisation and may not necessarily represent another organisation. The costs of construction accidents values presented in this study reveal that construction accidents present a substantial cost to employers and to the society at large, inclusive of both the direct and indirect costs. It is therefore in the best interest of the employer to identify progressive and advanced approaches to more effectively manage construction health and safety, consequently society at large will benefit tremendously.

Given the high rate of construction accidents experienced, employers are not entirely mindful of the actual costs of construction accidents, especially when considering the hidden or indirect costs of accidents. Various safety research efforts have attempted to quantify the true costs of worker injuries; however, localised systematic information on cost of construction accidents at work is not readily available from administrative statistical data sources; therefore, this study was carried out to estimate the costs, like lost workdays or lost income, are clearly visible and can readily be expressed in monetary value; for a large part,0 however, economic consequences of accidents are somewhat hidden.

The purpose of this paper is to seek to extend the work of Robson (1991, 1992) by exploring the accounting implications of the way in which subsets of non-financial accounting numbers are constructed. In particular, the study investigates whether the different procedures for organising subsets of a set of accounting data may lead to different conclusions about (the same) reality.

The empirical analysis focuses on the procedures by which organisations translate work-related injury outcomes to accounting numbers. First, existing procedures are problematised within their institutional context. This highlights complementary elements of translation and neo-institutional theory that together explain how institutional factors might operate to constrain the problematising process. An empirical analysis of workers’ compensation data covering a ten year period is then conducted to calculate and contrast performance using two competing logics of accounting for injury.

The findings demonstrate that different representations of reality may result not only from accounting choices as to “what” is measured, but also from accounting choices as to “how subsets of measured data are organised”. Specifically, different ways of organising injury data into subsets led to different representations of the reality of overall injury performance. The evidence further suggests taken-for-granted assumptions and institutionalised practices may prevent adequate problematisation of the underpinning logic that guides the procedures for organising translations of work-related injury and illness to accounting numbers.

The results suggest the existing logic of accounting for injury fails to recognise the financial or non-financial complexity of non-fatal injury outcomes. “Lost time injury” measures are revealed as neither valid nor reliable measures of injury (or safety) and therefore inappropriate for informing the occupational health and safety (OHS) decisions of managers, boards and external stakeholders. These findings reveal an urgent need for change in injury accounting practice and, in turn, raise serious concerns about the increasingly institutionalised global template for external disclosure of OHS performance information.

This paper takes a novel look at the construction of social performance measures and suggests further attention to the construction of accounting subsets is warranted. In demonstrating serious problems in accounting logic that underpin existing, and deeply institutionalised, measurement and reporting practices, the findings reinforce the need to routinely re-problematise accounting practices. Failure to critically review those accounting translations that underpin decision-making may prove a fatal mistake.

This systematic review paper aims to investigate seasonal ambient change’s impact on the incidence of falls among older adults.

The population, exposure, outcome (PEO) structured framework was used to frame the research question prior to using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework. Three databases were searched, and a total of 12 studies were found for inclusion, and quality appraisal was carried out. Data extraction was performed, and narrative analysis was carried out.

Of the 12 studies, 2 found no link between seasonality and fall incidence. One study found fall rates increased during warmer months, and 9 of the 12 studies found that winter months and their associated seasonal changes led to an increase in the incidence in falls. The overall result was that cooler temperatures typically seen during winter months carried an increased risk of falling for older adults.

Additional research is needed, most likely examining the climate one lives in. However, the findings are relevant and can be used to inform health-care providers and older adults of the increased risk of falling during the winter.

Falling was distinguished as leading cause of fatal and non-fatal injuries among elderly; there is a lack of information regarding the falling risk factors in developing countries. The purpose of this paper is to investigate the falling risk and correlated factors in community-dwelling elderly.

This cross-sectional study was performed on 280 elderly using a multi-sectional questionnaire in Karaj, Iran. The simple stratified random sampling was used. Adult who were over the age of 60, living independently, able to ambulate independently and safely, no cognition problem and speaking in Persian entered in the study. Exclusion criteria were residing in assisted living facility or unwilling to participate. Several statistical tests including logistic regression analysis were used to analyse the data.

The mean age of participants was 69.55±8.82 and 51 per cent of them were female. The results showed that there are significant differences between low-, medium- and high-risk groups regarding age, marital status, diabetes, blood pressure and osteoarthritis (p<0.05). Due to finding, the main predictors to higher chance of falling were age (OR=1.61; 95% CI 1.025–1.097), marital status (OR=1.485; 95% CI 1.170–1.279), vision acuity (OR=1.603; 95% CI 1.297–2.223), activities of daily living (OR=2.10; 95% CI 1.047–3.859), heart disease (OR=1.448; 95% CI 1.268–1.728), osteoarthritis (OR=1.238; 95% CI 1.711–2.127), falling history (OR=1.026; 95% CI 1.015–1.089) and medication (OR=5.975; 95% CI 1.525–23.412).

Better understanding of falling risk factors can lead to the implementation of effective preventive intervention, thus reducing public health expenditure, and improving the quality of life.

This study was conducted for the first time to assess the risk of falling in older people in Iran.

The purpose of this paper is to identify key tasks, tools, and equipment associated with maintenance and repair injuries at US mines and to provide some mitigation strategies to reduce these types of injuries.

This study analyzed incidents resulting in injuries reported to the US Mine Safety and Health Administration from 2002 to 2011. Incident reports were limited to those occurring at mining plants, shops, yards, and aboveground locations. Incident reports were analyzed to determine which activities contributed to injuries and were due to machine maintenance and repair, non-powered hand tools, and powered hand tools. An in-depth analysis of the root causes of these injuries was then performed.

Maintenance and repair in mining is associated with a significant number of hand and finger injuries with a range of severities and averaging over 20 amputated fingers, 180 fractured hands and fingers, and 455 hand and finger lacerations per year. Many of these injuries are caused by hands being struck by or caught in tools and equipment. Back and shoulder strains are found to be associated with the most days lost from work and are mostly attributed to materials handling.

Occupational injuries and fatalities still occur with high incidences in the mining sector. The mission of the Office of Mine Safety and Health Research (OMSHR; part of the National Institute for Occupational Safety and Health, NIOSH) is to “eliminate mining fatalities, injuries, and illnesses through research and prevention.” As part of this work, OMSHR acquires surveillance data from MSHA to quantify the types and sources of injuries at US mining facilities. The authors evaluated maintenance- and repair-related injuries at US mining sites (excluding underground coal mines). Results of this study suggest a need for improved design of machine guarding, improved hand protection through gloves and equipment design/redesign, and manual materials handling solutions.

The findings indicate that maintenance and repair in mining include occupational risks that may be managed through modifications to machines, proper usage of hand tools and hand protection, and improved manual materials handling processes.

The purpose of this paper is to examine the situational and individual officer characteristics of officer-involved vehicle collisions that result in fatality, injury, and non-injury outcomes.

Data on 35,840 vehicle collisions involving law enforcement officers in California occurring between January 2000 and December 2009 are examined. A descriptive analysis of collision characteristics is presented.

There were 39 officers killed by collisions over this study period and 7,684 officers who received some type injury. Incidents involving officers on motorcycles represented 39 percent of officer fatalities and 39 percent of severe injuries. In the case of fatalities, 33 percent of officers were reported as wearing seatbelts, 38 percent were not wearing a seatbelt, and seatbelt use was not stated in 29 percent of car fatalities.

The findings only represent one state and the analysis is based on an estimated 86 percent of collisions that occurred during the study period due to missing data. Nonetheless, the results are based on a robust sample and address key limitations in the existing literature.

During the study period in California the estimated financial impact of collisions reached into the hundreds of millions of dollars when considering related fatality, injury, and vehicle damage costs combined. These impacts highlight the need for the law enforcement community to give greater attention to this issue.

At the time of this writing there was no published independent research that compares the situational and officer characteristics across fatality, injury, and non-injury outcomes in these events. The findings reported here will help inform emerging interest in this issue within the law enforcement, academic, and policy-making communities.