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Sökning: WFRF:(Ooi C) > (2010-2014)

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  • Ooi, Esther M. M., et al. (författare)
  • Association of apolipoprotein M with high-density lipoprotein kinetics in overweight-obese men
  • 2010
  • Ingår i: Atherosclerosis. - : Elsevier BV. - 1879-1484 .- 0021-9150. ; 210:1, s. 326-330
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: The aim of this study was to investigate associations between plasma apoM concentration and HDL apoA-I and apoA-II kinetics in 60 overweight-obese, insulin resistant men. Methods: Plasma apoM concentration was determined using a sandwich ELISA with two monoclonal antibodies (CV < 5%). The kinetics of HDL apoA-I and apoA-II were measured using intravenous administration of D-3-leucine, gas chromatography-mass spectrometry and multi-compartmental modeling. Results: Plasma apoM was inversely associated with body mass index and positively associated with plasma total cholesterol, LDL cholesterol and HDL cholesterol (p < 0.05). There were no associations between plasma apoM and plasma triglyceride, NEFA, insulin, glucose, HOMA score or adiponectin concentrations. Plasma apoM was positively associated with both apoA-I and apoA-II concentrations (r = 0.406, p < 0.01 and r = 0.510, p < 0.01, respectively) and negatively associated with HDL apoA-I and apoA-II fractional catabolic rate (FCR) (r = -0.291, p = 0.03 and r = -0.291, p = 0.026, respectively). No significant associations were observed between plasma apoM and HDL apoA-I and apoA-II production rate. In multivariate regression models, both plasma apoM and triglycerides were significant, independent predictors of HDL apoA-I FCR (adjusted R-2 = 16%, p < 0.01) and HDL apoA-II FCR (adjusted R-2 = 14%, p < 0.01). Conclusion: ApoM may be a significant, independent predictor of HDL apoA-I and apoA-II catabolism in overweight-obese, insulin resistant men. Crown Copyright (C) 2009 Published by Elsevier Ireland Ltd. All rights reserved.
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  • Rescorla, Leslie, et al. (författare)
  • International Epidemiology of Child and Adolescent Psychopathology II: Integration and Applications of Dimensional Findings From 44 Societies
  • 2012
  • Ingår i: Journal of the American Academy of Child and Adolescent Psychiatry. - : Elsevier BV. - 0890-8567. ; 51:12, s. 1273-1283
  • Forskningsöversikt (refereegranskat)abstract
    • Objective: To build on Achenbach, Rescorla, and Ivanova (2012) by (a) reporting new international findings for parent, teacher, and self-ratings on the Child Behavior Checklist, Youth Self-Report, and Teacher's Report Form; (b) testing the fit of syndrome models to new data from 17 societies, including previously underrepresented regions; (c) testing effects of society gender, and age in 44 societies by integrating new and previous data; (d) testing cross-society correlations between mean item ratings; (e) describing the construction of multisociety norms; (f) illustrating clinical applications. Method: Confirmatory factor analyses (CFAs) of parent, teacher, and self-ratings, performed separately for each society; tests of societal, gender, and age effects on dimensional syndrome scales, DSM-oriented scales, Internalizing, Externalizing, and Total Problems scales; tests of agreement between low, medium, and high ratings of problem items across societies. Results: CFAs supported the tested syndrome models in all societies according to the primary fit index (Root Mean Square Error of Approximation [RMSEA]), but less consistently according to other indices; effect sizes were small-to-medium for societal differences in scale scores, but very small for gender, age, and interactions with society; items received similarly low, medium, or high ratings in different societies; problem scores from 44 societies fit three sets of multisociety norms. Conclusions: Statistically derived syndrome models fit parent, teacher, and self-ratings when tested individually in all 44 societies according to RMSEAs (but less consistently according to other indices). Small to medium differences in scale scores among societies supported the use of low-, medium-, and high-scoring norms in clinical assessment of individual children. J. Am. Acad. Child Aclolesc. Psychiatry; 2012; 51(12):1273-1283.
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