“
“Introduction: This study compares hair selleck screening library color and age in children tested for methamphetamine by hair analysis due to suspicion of exposure to the manufacture of methamphetamine by their caregivers.\n\nMethods: A retrospective analysis evaluated differences in hair drug testing results of 107

children less than 12 years of age tested due to clinical suspicion of having been exposed to the manufacture of methamphetamine. Results (confirmed by gas chromatography-mass spectroscopy) were compared for differences in likelihood of testing positive in relation to the subject’s age and having light or dark colored hair and reported with crude and adjusted odds ratios with 95% confidence intervals.\n\nResults: Of 107 children, 103 had a sufficient hair specimen for analysis. A third (36%) of the study population was less than 3 years of age. Almost half (45%) of the children tested positive for methamphetamine. 15% of the total study population tested positive for methamphetamine in combination with amphetamine indicating some degree of systemic exposure. No children were positive for amphetamine without also being positive for methamphetamine. Children less than 3 years of age were more likely

to test positive. check details Positive hair drug tests for the combination of methamphetamine and amphetamine occurred in children with both light and dark colored hair.\n\nDiscussion and conclusion: Children living in homes where methamphetamine is being manufactured can have drug identified in their hair regardless of hair color. This testing can aid in illuminating the child’s presence in an at-risk environment

and a family in need of services. (c) 2011 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved,”
“A common source of error when detecting heel-strike moments utilizing split force-plate treadmills is unwillingly stepping on contra-lateral force-plate. In this study, we quantified this error when heel-strike was detected based on such erroneous data and compared three methods to investigate how well the heel-strikes and stride-intervals were detected with erroneous data. Eleven subjects walked on a split force-plate treadmill for more than 20 min. We used 20 N and 50% body-weight thresholds to detect the heel-strike moments LY3023414 cost (HS20N and HS50%, respectively). Besides, we used linear approximation to estimate the unaffected force profile from affected force-plate data, and subsequently to detect the heel-strike moments (HSest). We used heel-strike moments detected by a foot-switch as a reference to compare accuracy of HS20N, HS50% and HSest. HS20N and HSest detected heel-strike moments accurately for unaffected force-plate data (median(max) errors for all subjects: 9(23) and 9(37) ms) but HS50% showed significantly larger errors (52(74) ms). Unlike HS50% and HSest, HS20N was considerably affected by the affected force-plate data (23(68) ms).