Construction safety is a challenging issue in construction industry all around the world. For the construction works, regular monitoring and supervision are the important parameters. After the massive Gorkha Earthquake of April 25th, 2015 (Nepal), large number of schools have been affected hence to enhance repair, maintenance, rehabilitation and improve of this situation a large number of retrofitting projects have been added to the list of construction projects of Nepal especially school buildings .With the increase in construction projects, a large number of accidents have also been increased tremendously. Safety legislation for construction industry in developing countries is not sufficient in order to make construction a safe industry as well as prevailing rules and regulations were not properly implemented at construction sites because of poor civic awareness, knowledge regarding safety, training, and workshop. It was found that training, education and experience of workers had a slightly minor role in decreasing the possibility of occurrence of accidents at site. Management shall also focus on accident record keeping and safety meeting with safety audit as no such records was maintained at the sites visited.
Abstract The extent to which long-term individual-oriented flexibility in working hours is associated with working beyond retirement age is not known. The aims of the present study were to identify trajectories of worktime control (WTC) and to examine whether the membership of WTC trajectories was associated with working beyond individual's pensionable age. A total of 1,953 older employees participated in the study and had data up to 16 years before pensionable age. Group-based latent trajectory modeling was used to identify WTC trajectories and Cox proportional hazard regression models were used to examine the associations of WTC trajectories with duration of employment. Seven trajectories described WTC: "Stable very low" (7%), "Stable low" (21%), "Declined" (12%), "Stable mid-low" (28%), "Improved" (10%), "Stable high" (16%), and "Stable very high" (5%). When compared with the lowest WTC trajectory groups, trajectories of "Stable high/very high" (hazard ratio [HR] 1.34, 95% confidence interval [CI] 1.17–1.54) and "Improved" WTC (HR 1.49, 95% CI 1.25–1.78) were associated with longer duration of employment. Although the memberships of the "Stable high/very high" and "Improved" WTC trajectories correlated with gender, marital status, occupational position, and self-rated health, the association between WTC and duration of employment was not fully confounded or mediated by these factors. These findings support the hypothesis that having improved or constantly high control over working times from midlife to retirement age may prolong working lives at retirement age.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. ; Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. ; Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163). ; Peer reviewed