The Prevalence of Occupational Injuries among Students and...

Title: The prevalence of Occupational injuries among UPM student employees CHAPTER 1: INTRODUCTION 1.1 General introduction Occupational injuries have been reported to be a burden to both employees and employers all over the world (Ou Thygerson, 2012). The Bureau of Labor Statistics reports that 3.1 million nonfatal workplace injuries occurred in private industry employers in 2010, with an incidence rate of 3.5 cases per 100 full-time employees). Injuries can be linked to risk factors such as stress, fatigue, repetition, and workload (Ou Thygerson, 2012). Injured workers are more likely to report a higher stressors frequency resulting in a monotonic dose-response relationship between stress reaction and injury (Lee et al.,†¦show more content†¦1.5 Instruments A structured survey was used to collect socio-demographic, behavioral characteristics and work-related injuries among workers in last twelve months. The pre-validated survey instrument was taken from the Youth Employment and School Study (YESS), and adapted for use by Frone (1998) for use with employed adolescents and was also adapted by Ou and Thygerson (2012) for use with university students. The YESS contained scales for the risk factors of interest. The risk factors used in the survey included exposure to workplace hazards workload, work-school conflict, supervisor relationship and boredom. 1.6 Participants The participants in this study will be 400 employees and postgraduate students at UPM, Malaysia. 1.7 Data analysis Results were analyzed using Statistical Package for Social Sciences (SPSS). The descriptive statistics will be used such as mean and frequency will be used for prevalence, occurrence and distribution of occupational injuries by demographic information such as age group, gender, education level and ethnicity. Results from the risk factor scales for workload, job boredom, supervisor relations, and work school conflict will be scored using as the key dictated by the instrument. Significant differences in risk factor scores were determined using t-tests. Stepwise logistic regression will be used to obtain odds ratios, controlling for age, sex, and job tenure. Missing will not beShow MoreRelatedFundamentals of Hrm263904 Words   |  1056 PagesThis online teaching and learning environment integrates the entire digital textbook with the most effective instructor and student resources With WileyPLUS: Students achieve concept mastery in a rich, structured environment that’s available 24/7 Instructors personalize and manage their course more effectively with assessment, assignments, grade tracking, and more manage time better study smarter save money From multiple study paths, to self-assessment, to a wealth of interactive visual