The purpose of this paper is to examine the performance of the newly available monofilament polypropylene suture (Surgipro) manufactured by U.S. Surgical and compare it with commercial Prolene sutures for determining the merit of this new suture. Two different sizes of Surgipro sutures were used. They were 4/0 and 0 sizes and were tested in terms of their fundamental properties: level of crystallinity, melting temperature, fiber morphology, and mechanical properties including knot strength and knot security. The effect of three different sterilization methods on the mechanical and fundamental properties of the new polypropylene (PP) sutures was also examined. In general, the new Surgipro sutures performed as good as Prolene sutures in terms of mechanical properties; but there were some differences in fundamental properties between these two types of PP sutures, particularly in finer size PP sutures. The major differences were in interior fiber morphology, level of crystallinity, and melting temperature. Surgipro suture fibers showed homogeneous interior morphology, while Prolene fibers exhibited two distinctive fiber morphologies. These two types of PP suture fibers also responded differently to the three sterilization methods tested. Surgipro sutures are less affected by different sterilization methods than the same size Prolene control. Except for the Co 60 gamma sterilization, Surgipro suture fibers did not exhibit statistically significant differences in tensile breaking strength between sterilized and control. Ethylene oxide and autoclave sterilized Prolene suture fibers, however, showed statistically (p less than 0.05) consistently lower tensile breaking strength than their unsterilized controls.(ABSTRACT TRUNCATED AT 250 WORDS)
Objectives Physical activity (PA) estimates obtained from recent accelerometer data reduction algorithms have not been compared in women of reproductive-age, a population more likely to engage in unstructured and intermittent PA (such as household cleaning, walking) than men. We investigated whether the accelerometer data from the Crouter, Sasaki and Santos-Lozano algorithms: 1) reported significantly different PA estimates; 2) interacted with weight and age to modify PA estimates; and 3) provided different prevalence of adults meeting PA guidelines. Methods At least four days of accelerometer data were collected from 29 women, ages 18 to 38 years, and processed through three algorithms using an Excel model that automatically removed non-wear data and simultaneously calculated PA estimates [i.e., wear minutes, metabolic equivalent minutes (MET-min)]. A combination of mixed-effects linear regression models and bivariate correlation analyses were used to examine associations between accelerometer data with weight, age, and clinical markers of metabolic status across algorithms. Results The Crouter algorithm estimated significantly more wear minutes in Moderate intensity compared to the Sasaki and Santos-Lozano algorithms [+384 (SE 33) and+356 (SE 33) minutes, respectively]. There were significant interactions between Crouter estimates of Sedentary/Light and Moderate wear minutes with weight and age (all Pinteraction ≤ 0.001, Santos-Lozano algorithm as the reference). Algorithm selection also provided inconsistent findings in the prevalence of adults meeting PA guidelines. Conclusions Recently proposed data reduction algorithms varied in their PA estimates in women of reproductive age. Algorithm selection interacted with weight and age to influence PA estimates and provided inconsistent classification of those who met PA guidelines. Thus, depending on the algorithm selected, behavior change recommendations might differ for each individual due to varying PA estimations. Larger sample sizes are needed to confirm these findings. Funding Sources This research is partially supported by the Cornell University Human Ecology Alumni Association. The first author is currently being supported by the National Institutes of Health.
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