PubMed · 14101456
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H W MCINTOSH, M SERAGLIA, I UHLEMANN, R KORE. 1963-12-28. TONSILLECTOMY AND ADENOIDECTOMY.. https://pubmed.ncbi.nlm.nih.gov/14101456/
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This study tested a 3-month ankle-strengthening and walking program designed to improve or maintain the fall-related outcomes of balance, ankle strength, walking speed, risk of falling, fear of falling, and confidence to perform daily activities without falling (falls efficacy) in elderly nursing home residents. Nursing home residents (N = 81) between the ages of 64 and 100 years participated in the study. Two of the fall-related outcomes, balance and fear of falling, were maintained or improved for the exercise group in comparison to the control group.
This paper starts by presenting a conceptualization of indicators, criteria and accidents' causes that can be used to describe traffic safety. The paper provides an assessment of traffic safety conditions for rural roads in Egypt. This is done through a three-step procedure. First, deaths per million vehicle kilometers are obtained and compared for Egypt, three other Arab countries and six of the G-7 countries. Egypt stands as having a significantly high rate of deaths per 100 million vehicle kilometers. This is followed by compiling available traffic and accident data for five main rural roads in Egypt over a 10-year period (1990-1999). These are used to compute and compare 13 traffic safety indicators for these roads. The third step for assessing traffic safety for rural roads in Egypt is concerned with presenting a detailed analysis of accident causes. The paper moves on to develop a number of statistical models that can be used in the prediction of the expected number of accidents, injuries, fatalities and casualties on the rural roads in Egypt. Time series data of traffic and accidents, over a 10 years period for the considered roads, is utilized in the calibration of these predictive models. Several functional forms are explored and tested in the calibration process. Before proceeding to the development of these models three ANOVA statistical tests are conducted to establish whether there are any significant differences in the data used for models' calibration as a result of differences among the considered five roads.