Effect of nano-ceramic fibers on fracture toughness of In-Ceram Alumnina ceramics
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Objectives: To determine factors influencing the Framingham Risk Score (FRS) and SF-12 including duration in HealthLink program by comparing earlier to newer recruited community individuals and to examine the differences in utilization of screening services as evaluated using FRS and SF- 12 scores of community individuals compared to physician-referred individuals. Methods: This is a secondary data analysis whose data was collected through the HealthLink Wellness program after integrating HealthLink Wellness data with the information from the primary care practice. It is a cross-sectional study with two sources of data, a self-administered questionnaire (SF-12) and derived from medical screening data, a FRSexpressed as relative risk. The study has been approved by the Institutional Review Board at Boston University (study reference number is 30365). The dataset was provided as a Microsoft Excel file and was imported into SAS Statistical Software version 9.1.3. Descriptive statistics, bivariate analysis, and multivariate linear regression analysis were performed. Results: The study sample consisted of 473 subjects with 974 total screenings. Descriptive analysis of aim1 sample showed that 54 (23%) newer community individuals were recruited in the Period ([less than or equal to]24 months) and 167 (71%) earlier community individuals were recruited in the period of ([less than or equal to] 72 months). Bivariate analysis showed that there were no statistica11y significant differences between newer and earlier community individuals in their FRSand SF-12 PCS and MCS. Since newer and earlier community members are statistically equivalent, a service-based multiple regression analysis was performed. There was a statistical difference between community and office recruited members for the SF-12 PCS (P[less than]0.001) and FHS risk assessment(P=0.04) but not for SF-12 MCS. Multivariate analysis of SF-12 PCS indicates that age and BMI exhibited a statistical diffeence (P[less than] 0.001). Descriptive analysis of aim 2 sample showed that there were234 community recruited individuals and 239 office recruited individuals. Bivariate analysis showed that there was no statistically significant difference between community individuals and physician-referred individuals in their FHS risk assessment. However, there was a statistically significant difference between those groups in their SF-12 PCS score (P-Value [less than] 0.001) and borderline (P-Value =0.06) in SF-12 MCS score. Multivariate analysis showed a statistical difference between community and office recruited members on individuals-level for the SF-12 PCS (P[less than] 0.001) and for SF-12 MCS (P-Value= 0.05). Conclusion: Factors affecting the physical and well-being of individuals were determined such as recruitment locations, age and BMI. The duration in the program and follow up visit had no effect on the overall score. Recruitment through office was an extremely efficient way of outreach individuals. In a small period physicians were able to recruit many individuals. In addition, it raised a crucial point which is the importance of physician to participate in encouraging and referring their patients to attend and benefit from the program because of their need.
PLEASE NOTE: This work is protected by copyright. Downloading is restricted to the BU community: please click Download and log in with a valid BU account to access. If you are the author of this work and would like to make it publicly available, please contact firstname.lastname@example.org.Thesis (MSD)--Boston University, Goldman School of Dental Medicine, 2007 (Dept. of Restorative Sciences and Biomaterials; Division of Postdoctoral Prosthodontics).Includes bibliographical references: leaves 56-57.
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