Results 81 to 90 of about 2,061,437 (333)

BMI is a poor predictor of adiposity in young overweight and obese children

BMC Pediatrics, 2017
BackgroundThe body mass index (BMI) is a simple and widely utilized screening tool for obesity in children and adults. The purpose of this investigation was to evaluate if BMI could predict total fat mass (TFM) and percent body fat (%FAT) in a sample of ...
C. Vanderwall, R. Randall Clark, J. Eickhoff, A. Carrel   +3 more
semanticscholar   +1 more source

Microalbuminuria and BMI

Indian Journal of Nephrology, 2009
Sir, I read the recent publication by Chowta et al. with a great interest.[1] Chowta et al. reached the conclusion that “there is no effect of BMI and sex on the prevalence of microalbuminuria”.[1] Indeed, the correlation between BMI and microalbuminuria is widely discussed.
openaire   +2 more sources

Healthy lifestyles and body mass index as correlates of body image in primary schoolchildren [PDF]

, 2019
Background: Body image is a representation of the self that develops from an early age. Such representations are likely to be associated with lifestyle choices.Objective: The purpose of this study was to explore the relationships between health ...
Calmeiro, Luis, Pereira, Carlos
core   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

BMI and Seatbelt Use [PDF]

Obesity, 2007
AbstractObjective: Seatbelt use among obese persons may be reduced because seatbelts are uncomfortable. We investigated the association between obesity and seatbelt use with data from the 2002 Behavioral Risk Factor Surveillance System Survey.Research Methods and Procedures: Multivariable logistic regression was used to calculate odds ratios and 95 ...
David G, Schlundt, Nathaniel C, Briggs, Stephania T, Miller, Carlotta M, Arthur, Irwin A, Goldzweig   +4 more
openaire   +2 more sources

The effect of weight, body mass index, age, sex, and race on plasma concentrations of subcutaneous sumatriptan: a pooled analysis. [PDF]

, 2016
Objective/backgroundFactors such as body size (weight and body mass index [BMI]), age, sex, and race might influence the clinical response to sumatriptan. We evaluated the impact of these covariates on the plasma concentration (Cp) profile of sumatriptan
Fisher, Dennis M, Gautam, Anirudh, Munjal, Sagar, Rapoport, Alan M   +3 more
core   +3 more sources

Body mass index and age correlate with antioxidant supplementation effects on sperm quality: Post hoc analyses from a double-blind placebo-controlled trial [PDF]

, 2020
Spermatozoa are vulnerable to lack of energy and oxidative stress as a result of elevated levels of reactive oxygen species. Therefore, it is essential that appropriate nutrients are available during maturation.
Agarwal, Ashok, Busetto, Gian Maria, Chung, Benjamin I, De Berardinis, Ettore, Del Giudice, Francesco, Ferro, Matteo, Maggi, Martina, Porreca, Angelo, Sciarra, Alessandro, Virmani, Ashraf   +9 more
core   +1 more source

Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung, Florentin Steigerwald, Amy Romanello, Cathrin Kodde, Matthias Endres, Sandra Frank, Peter Heuschmann, Philipp Koehler, Stephan Krohn, Daniel Pape, Jens Schaller, Sophia Stöcklein, Istvan Vadasz, Janne Vehreschild, Martin Witzenrath, Thomas Zoller, Carsten Finke, on behalf of the NAPKON Study Group, Y. Ahlgrimm, C. Finke, J. Fricke, T. Keil, L. Krist, N. Lisewsky, M. Mittermaier, M. Mueller‐Plathe, C. Pley, S. Schmidt, A. Stege, F. Steinbeis, S. Steinbrecher, C. Wildberg, M. Witzenrath, E. Zessin, T. Zoller, C. Arendt, C. Bellinghausen, S. Cremer, A. Groh, A. Gruenewaldt, Y. Khodamoradi, S. Klinsing, G. Rohde, M. Vehreschild, T. Vogl, S. Frank, J. C. Hellmuth, M. Huber, S. Kaeaeb, O. T. Keppler, E. Khatamzas, C. Mandel, S. Mueller, M. Muenchhoff, L. Reeh, C. Scherer, H. Stubbe, M. von Bergwelt, L. Weiss, B. Zwissler, S. Cleef, M. E. Figuera Basso, J. Franzenburg, K. Franzpoetter, A. Friedrichs, A. Hermes, J. Heyckendorf, C. Kujat, I. Lehmann, C. Maetzler, S. Meier, D. Pape, S. Poick, L. Reinke, A. K. Russ, A. M. Scheer, D. Schunk, T. Tamminga, S. Bohnet, D. Droemann, K. F. Franzen, R. Hoerster, N. Kaeding, M. Nissen, P. Parschke, J. Rupp, S. Caesar, H. Einsele, S. Frantz, A. Frey, A. Grau, K. Haas, C. Haertel, K. G. Haeusler, G. Hein, J. Herrmann, A. Horn, R. Jahns, P. Meybohm, F. A. Montellano, C. Morbach, J. Schmidt, P. Schulze, S. Stoerk, J. Volkmann, T. Bahmer, A. Hermes, M. Krawczak, W. Lieb, S. Schreiber, T. Tamminga, B. Balzuweit, S. Berger, J. Fricke, M. Hummel, A. Krannich, L. Krist, F. Kurth, J. Lienau, R. Lorbeer, C. Pley, J. Schaller, S. Schmidt, C. Thibeault, M. Witzenrath, T. Zoller, I. Bernemann, T. Illig, M. Kersting, N. Klopp, V. Kopfnagel, S. Muecke, M. Kraus, B. Lorenz‐Depiereux, G. Anton, A. Kuehn‐Steven, S. Kunze, M. K. Tauchert, K. Appel, M. Brechtel, I. Broehl, K. Fiedler, R. Geisler, S. M. Hopff, K. Knaub, C. Lee, S. Nunes de Miranda, S. Raquib, G. Sauer, M. Scherer, J. J. Vehreschild, P. Wagner, L. Wolf, J. C. Hellmuth, K. Guenther, F. Haug, J. Haug, A. Horn, M. Kohls, C. Fiessler, P. U. Heuschmann, O. Miljukov, C. Nuernberger, J. P. Reese, L. Schmidbauer, I. Chaplinskaya, S. Hanss, D. Krefting, C. Pape, M. Rainers, A. Schoneberg, N. Weinert, T. Bahls, W. Hoffmann, M. Nauck, C. Schaefer, M. Schattschneider, D. Stahl, H. Valentin, P. Heuschmann, A. L. Hofmann, S. Jiru‐Hillmann, J. P. Reese, S. Herold, P. Heuschmann, R. Heyder, W. Hoffmann, T. Illig, S. Schreiber, J. J. Vehreschild, M. Witzenrath   +190 more
wiley   +1 more source

Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions

Frontiers in Radiology, 2022
Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing meaningful physical or chemical parameters, measured in physical units, with normative values ...
Elda Fischi-Gomez, Elda Fischi-Gomez, Gabriel Girard, Gabriel Girard, Gabriel Girard, Philipp J. Koch, Philipp J. Koch, Philipp J. Koch, Philipp J. Koch, Thomas Yu, Thomas Yu, Marco Pizzolato, Marco Pizzolato, Julia Brügger, Julia Brügger, Gian Franco Piredda, Gian Franco Piredda, Gian Franco Piredda, Tom Hilbert, Tom Hilbert, Tom Hilbert, Andéol G. Cadic-Melchior, Andéol G. Cadic-Melchior, Elena Beanato, Elena Beanato, Chang-Hyun Park, Chang-Hyun Park, Takuya Morishita, Takuya Morishita, Maximilian J. Wessel, Maximilian J. Wessel, Maximilian J. Wessel, Simona Schiavi, Simona Schiavi, Alessandro Daducci, Tobias Kober, Tobias Kober, Tobias Kober, Erick J. Canales-Rodríguez, Friedhelm C. Hummel, Friedhelm C. Hummel, Friedhelm C. Hummel, Jean-Philippe Thiran, Jean-Philippe Thiran, Jean-Philippe Thiran   +44 more
doaj   +1 more source

BMI control of a third arm for multitasking

Science Robotics, 2018
A brain-machine interface allowed participants to do a task with a robotic arm while performing a different task with their own arms. Brain-machine interface (BMI) systems have been widely studied to allow people with motor paralysis conditions to ...
Christian I. Penaloza, S. Nishio
semanticscholar   +1 more source