Results 21 to 30 of about 79,128 (266)

Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review

Obesity Science & Practice, 2021
Background Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life ...
Vanessa De Rubeis, Alessandra T. Andreacchi, Isobel Sharpe, Lauren E. Griffith, Charles D. G. Keown‐Stoneman, Laura N. Anderson   +5 more
doaj   +1 more source

Trajectories of university adjustment in the United Kingdom: Emotion management and emotional self-efficacy protect against initial poor adjustment [PDF]

, 2013
Little is known about individual differences in the pattern of university adjustment. This study explored longitudinal associations between emotional self-efficacy, emotion management, university adjustment, and academic achievement in a sample of first ...
Austin, Austin, Baker, Bandura, Bandura, Beyers, Brackett, Christie, Cooke, Crombag, Dacre-Pool, Dacre-Pool, Dahmus, Davis, Duchesne, Duncan, Engelberg, Galatzer-Levy, Gall, Gerdes, Hu, Keefer, Keefer, Kirk, L. Barnes, L. Dacre-Pool, Little, Little, Lyons, MacCann, MacCann, Marsh, Mayer, McLachlan, Muthén, Muthén, Muthén, Muthén, Nagin, Nelis, P. Qualter, Parker, Parker, Petersen, Petrides, Petrides, Prillerman, Pritchard, Qualter, R.A. Harris, Radloff, Rickinson, Rickinson, Russell, S. Roberts, S.M. Nightingale, Saklofske, Schafer, Sennett, Soucy, Strahan, Swanson, Tao, Tariq, V. Tariq, van Rooijen, Vlaander, Weko, Y. Appleby   +68 more
core   +1 more source

Extracting Spurious Latent Classes in Growth Mixture Modeling With Nonnormal Errors [PDF]

Educational and Psychological Measurement, 2016
Growth mixture modeling is generally used for two purposes: (1) to identify mixtures of normal subgroups and (2) to approximate oddly shaped distributions by a mixture of normal components. Often in applied research this methodology is applied to both of these situations indistinctly: using the same fit statistics and likelihood ratio tests.
Kiero, Guerra-Peña, Douglas, Steinley
openaire   +2 more sources

Profiles of competence development in upper secondary education and their predictors.

PLoS ONE, 2021
This registered report protocol elaborates on the theory, methods, and material of a study to identify latent profiles of competence development in reading and mathematics among German students in upper secondary education.
Micha-Josia Freund, Ilka Wolter, Kathrin Lockl, Timo Gnambs   +3 more
doaj   +1 more source

The longitudinal interplay between negative and positive symptom trajectories in patients under antipsychotic treatment: a post hoc analysis of data from a randomized, 1-year pragmatic trial [PDF]

, 2013
BACKGROUND: Schizophrenia is a highly heterogeneous disorder with positive and negative symptoms being characteristic manifestations of the disease. While these two symptom domains are usually construed as distinct and orthogonal, little is known about ...
Ascher-Svanum, H, Chen, L, Johnston, JA, Kinon, BJ, Marques, TR, Stauffer, V, Succop, P   +6 more
core   +2 more sources

Mind the gap: A review and recommendations for statistically evaluating Dual Systems models of adolescent risk behavior

Developmental Cognitive Neuroscience, 2019
According to Dual Systems models (Casey et al., 2008; Luna and Wright, 2016; Steinberg, 2008), a rapidly-developing socioemotional system and gradually-developing cognitive control system characterize adolescent brain development.
Samuel N. Meisel, Whitney D. Fosco, Larry W. Hawk, Craig R. Colder   +3 more
doaj   +1 more source

Cognitive trajectories: exploring the predictive role of subjective cognitive decline and awareness of age-related changes for cognitive functioning

Frontiers in Psychiatry, 2023
BackgroundWe investigated whether aspects of subjective cognitive aging, including awareness of age-related gains and losses in cognition (AARC-gains, AARC-losses) and subjective cognitive decline (SCD), predict change in objective cognitive function as ...
Serena Sabatini, Stephanie Cosentino, Stephanie Cosentino, Silvia Chapman, Clive Ballard, Helen Brooker, Helen Brooker, Anne Corbett, Blossom C. M. Stephan, Blossom C. M. Stephan   +9 more
doaj   +1 more source

Latent classes of nonresponders, rapid responders, and gradual responders in depressed outpatients receiving antidepressant medication and psychotherapy [PDF]

, 2015
BackgroundWe used growth mixture modeling (GMM) to identify subsets of patients with qualitatively distinct symptom trajectories resulting from treatment. Existing studies have focused on 12-week antidepressant trials.
Bagby, Michael, De Bolle, Marleen, De Fruyt, Filip, Quilty, Lena, Rouillon, Frederic, Thibodeau, Michel   +5 more
core   +2 more sources

Evidence of associations between cytokine genes and subjective reports of sleep disturbance in oncology patients and their family caregivers. [PDF]

PLoS ONE, 2012
The purposes of this study were to identify distinct latent classes of individuals based on subjective reports of sleep disturbance; to examine differences in demographic, clinical, and symptom characteristics between the latent classes; and to evaluate ...
Christine Miaskowski, Bruce A Cooper, Anand Dhruva, Laura B Dunn, Dale J Langford, Janine K Cataldo, Christina R Baggott, John D Merriman, Marylin Dodd, Kathryn Lee, Claudia West, Steven M Paul, Bradley E Aouizerat   +12 more
doaj   +1 more source

Distinguishing Asthma Phenotypes Using Machine Learning Approaches. [PDF]

, 2015
Asthma is not a single disease, but an umbrella term for a number of distinct diseases, each of which are caused by a distinct underlying pathophysiological mechanism. These discrete disease entities are often labelled as asthma endotypes.
A Custovic, A Custovic, A Fraser, A Høst, A Pickles, A Simpson, A Wijga, Adnan Custovic, AJ Lowe, AV Berg, B Clarisse, BD Spycher, BD Spycher, BD Spycher, BG Toelle, BL Jones, BL Jones, C-M Chen, CA Figueiredo, CE Kuehni, CJ Lodge, CL Storr, D Barber, D Belgrave, D Caudri, D Nagin, DA Linzer, DC Belgrave, DC Belgrave, DCM Belgrave, DCM Belgrave, F Kauffmann, F Kauffmann, FD Martinez, FL Garden, FP Perera, G Bochenek, G Weinmayr, GB Marks, GP Anderson, J Hagenaars, J Henderson, J Lotvall, J Magidson, J Sunyer, J Winn, JA Smith, JK Vermunt, K Burnham, KE Wonderen Van, KL Nylund, L García-Marcos Álvarez, L Hunt, L Lowe, L Panico, LA Lowe, M Depner, M Herr, M Scott, Magnus Rattray, Mattia Prosperi, MJ Ege, ML Barreto, MM Hagendorens, MW Pijnenburg, N Lazic, NC Nicolaou, NG Papadopoulos, OE Savenije, P Burney, P Haldar, P Rzehak, P Rzehak, PD Sly, Q Chen, Q Vuong, Rebecca Howard, RJP Valk van der, RL Bergmann, RL Miller, RO Crapo, RT Stein, S American Thoracic, S Havstad, S Mihrshahi, S Rabe-Hesketh, S Stanojevic, SE Wenzel, SK Weiland, ST Lanza, ST Lanza, T Jung, T Minka, The European Community Respiratory Health Survey, V Siroux, WC Moore, X Robin, Y Lo   +97 more
core   +2 more sources