ESTIMATING PREVALENCE OF CARPAL TUNNEL SYNDROME AND SEVERITY USING BOSTON CARPAL TUNNEL SYNDROME QUESTIONNAIRE AMONG DEXTEROUS POPULATION

Objective: The study was designed to estimate the prevailing percentage of Carpal Tunnel Syndrome (CTS) using Boston Carpal tunnel syndrome questionnaire (BCTSQ) in the dexterous population and to assess its severity. Study Design: This was a Cross-sectional survey. Study Settings and Participants: The study setting was Karachi where 226 Dexterous workers including; musicians, typist, dentists, butchers office workers, working for more than 1 year were recruited using non-probability convenience sampling. Outcome Measures: Boston Carpal Tunnel Syndrome Questionnaire. Results: This study enrolled 226 participants, 140 (61.9%) of which were males and 86 (38.1%) were females with mean age of 34.05±10.93. Out of the total 25 were diagnosed with CTS in which, 10 (40%) were males and 15 (60%) were females with mean age of 37.60±14.41. Hence, the prevalence of CTS among dexterous population was found to be 11.06%.                                                                            Conclusion: The results of our study revealed that CTS is a prevalent neuromuscular disorder among dexterous population. The severity level varies among the population. More epidemiological studies are required to get the approximate value to promote ergonomic awareness.

Some Wavelet Schemes for Nonlinear Differential Equations

This work is devoted to the study of wavelet schemes for solving nonlinear differential equations. Most of the scientific and engineering phenomena can be represented in the form of nonlinear differential equations. Over the past few decades, nonlinear differential equations have been the core of research for many researchers and scientists. Owing to the non-availability of exact solutions in many nonlinear physical problems representing complex phenomena, various analytical and non-analytical schemes have been evolved. One of the most recent families of schemes developed for finding solutions of differential equations is Wavelet schemes. These newly revolutionized schemes have few shortcomings, while dealing with nonlinear differential equations. The existing wavelets schemes are being modified and enhanced in this study to overcome these shortcomings. In this study, techniques such as Picard’s Iteration Method, Quasilinearization Method and Method of Steps have been merged with different wavelet schemes, which proved to be very proficient, reliable and effective in handling a large number of nonlinear mathematical problems representing nonlinear differential equations and their systems. These wavelet schemes have been extended for fractional nonlinear differential equations also.