Results 21 to 30 of about 306,960 (301)

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 Class Trajectory and Growth Mixture Models in the Study of Physical Resilience [PDF]

Innovation in Aging, 2020
Abstract After a stressor, individuals may experience different trajectories of function and recovery. One potential explanation for this variation is differing trajectories may be indicators of differing classes or levels of resilience to the stressor.
Pieper, Carl, Pendergast, Jane, Neely, Megan   +2 more
openaire   +1 more source

Marginal structural models with Latent Class Growth Modeling of Treatment Trajectories

, 2021
In a real-life setting, little is known regarding the effectiveness of statins for primary prevention among older adults, and analysis of observational data can add crucial information on the benefits of actual patterns of use. Latent class growth models (LCGM) are increasingly proposed as a solution to summarize the observed longitudinal treatment in ...
Diop, Awa, Sirois, Caroline, Guertin, Jason Robert, Talbot, Denis   +3 more
openaire   +2 more sources

Latent trajectory studies: the basics, how to interpret the results, and what to report [PDF]

European Journal of Psychotraumatology, 2015
Background: In statistics, tools have been developed to estimate individual change over time. Also, the existence of latent trajectories, where individuals are captured by trajectories that are unobserved (latent), can be evaluated (Muthén & Muthén, 2000)
Rens van de Schoot
doaj   +1 more source

The Developmental Impact of Two First Grade Preventive Interventions on Aggressive/Disruptive Behavior in Childhood and Adolescence: An Application of Latent Transition Growth Mixture Modeling [PDF]

, 2013
We examine the impact of two universal preventive interventions in first grade on the growth of aggressive/disruptive behavior in grades 1–3 and 6–12 through the application of a latent transition growth mixture model (LT-GMM).
Ialongo, Nick, Masyn, Katherine Elizabeth, Petras, Hanno   +2 more
core   +1 more source

Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease

Frontiers in Endocrinology, 2022
ObjectiveTo explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out.MethodA review of 2,928 diabetes mellitus (DM) patients admitted to the ...
Nana Wang, Zhenyu Lu, Wei Zhang, Yu Bai, Dongmei Pei, Ling Li   +5 more
doaj   +1 more source

Recovery Trajectories of Executive Functioning After Pediatric TBI: A Latent Class Growth Modeling Analysis [PDF]

Journal of Head Trauma Rehabilitation, 2017
Objective: To identify latent trajectories of executive functioning (EF) recovery overtime after childhood traumatic brain injury (TBI) and examine the predictive value of known risk factors within and across recovery trajectories using latent class growth modeling (LCGM). Method: A
Megan E, Narad, Amery, Treble-Barna, James, Peugh, Keith O, Yeates, H Gerry, Taylor, Terry, Stancin, Shari L, Wade   +6 more
openaire   +2 more sources

Trajectories of Adaptive Behaviors During Childhood in Females and Males in the General Population

Frontiers in Psychiatry, 2022
Little is known about the trajectory patterns and sex differences in adaptive behaviors in the general population. We examined the trajectory classes of adaptive behaviors using a representative sample and examined whether the class structure and ...
Tomoko Nishimura, Tomoko Nishimura, Takeo Kato, Takeo Kato, Akemi Okumura, Akemi Okumura, Taeko Harada, Taeko Harada, Toshiki Iwabuchi, Toshiki Iwabuchi, Md. Shafiur Rahman, Md. Shafiur Rahman, Tomoya Hirota, Tomoya Hirota, Michio Takahashi, Masaki Adachi, Hitoshi Kuwabara, Hitoshi Kuwabara, Shu Takagai, Yoko Nomura, Yoko Nomura, Nagahide Takahashi, Nagahide Takahashi, Atsushi Senju, Atsushi Senju, Kenji J. Tsuchiya, Kenji J. Tsuchiya   +26 more
doaj   +1 more source

Identification of Multivariate Responders and Non-Responders by using Bayesian Growth Curve Latent Class Models [PDF]

Journal of the Royal Statistical Society Series C: Applied Statistics, 2009
Summary We propose a multivariate growth curve mixture model that groups subjects on the basis of multiple symptoms measured repeatedly over time. Our model synthesizes features of two models. First, we follow Roy and Lin in relating the multiple symptoms at each time point to a single latent variable.
Benjamin E, Leiby, Mary D, Sammel, Thomas R, Ten Have, Kevin G, Lynch   +3 more
openaire   +2 more sources

Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [PDF]

Frontiers in Psychology, 2017
Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance and growth) assuming measurement invariance between latent classes. Considering that the assumption of
Kim, Eun Sook, Wang, Yan
openaire   +3 more sources