Results 11 to 20 of about 142,413 (298)

Frailty trajectory among community-dwelling middle-aged and older adults in Korea: evidence from the Korean Longitudinal Study of Aging

open access: yesBMC Geriatrics, 2022
Background There is no study on the frailty trajectory including both middle-aged and older people, and the understanding of the long-term frailty trajectory is insufficient.
Ah Ram Jang, Hae Sagong, Ju Young Yoon
doaj   +1 more source

Short-term trajectories of workplace bullying and its impact on strain: A latent class growth modeling approach [PDF]

open access: yes, 2020
The aim of this weekly diary study was (a) to identify trajectories of workplace bullying over time and (b) to examine the association of each cluster with strain indicators (i.e., insomnia and anxiety/depression).
Antino, Mirko   +4 more
core   +2 more sources

What methods are used to study the association between medication adherence trajectories, estimated with the group-based trajectory modeling (GBTM) method, and health-related outcomes?—a protocol for a systematic review

open access: yesSystematic Reviews, 2022
Background The group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time.
Victoria Memoli   +5 more
doaj   +1 more source

Great diversity in the utilization and reporting of latent growth modeling approaches in type 2 diabetes: A literature review

open access: yesHeliyon, 2022
Introduction: The progression of complications of type 2 diabetes (T2D) is unique to each patient and can be depicted through individual temporal trajectories.
Sarah O'Connor   +5 more
doaj   +1 more source

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

open access: yesEducational 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

Application of a Bayesian Network Learning Model to Predict Longitudinal Trajectories of Executive Function Difficulties in Elementary School Students

open access: yesJournal of Intelligence, 2022
Executive function is the mental ability to modulate behavior or thinking to accomplish a task. This is developmentally important for children’s academic achievements and ability to adjust to school.
Eun-Kyoung Goh, Hyo-Jeong Jeon
doaj   +1 more source

School climate and bullying victimization: A latent class growth model analysis. [PDF]

open access: yesSchool Psychology Quarterly, 2014
Researchers investigating school-level approaches for bullying prevention are beginning to discuss and target school climate as a construct that (a) may predict prevalence and (b) be an avenue for school-wide intervention efforts (i.e., increasing positive school climate).
Nicholas A, Gage   +2 more
openaire   +2 more sources

Determinants of depressive symptom trajectories in self-reported chronic obstructive pulmonary disease patients

open access: yesBMC Pulmonary Medicine, 2022
Background The depressive symptom trajectories of COPD individuals and its’ predictors remain to be established. Therefore, this study aimed to explore the trajectories of depressive symptoms and predictors thereof in COPD patients.
Cui Wang   +4 more
doaj   +1 more source

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

open access: yesObesity 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   +5 more
doaj   +1 more source

Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data [PDF]

open access: yesMultivariate Behavioral Research, 2011
Growth mixture models (GMMs) with nonignorable missing data have drawn increasing attention in research communities but have not been fully studied. The goal of this article is to propose and to evaluate a Bayesian method to estimate the GMMs with latent class dependent missing data.
Zhenqiu Laura, Lu   +2 more
openaire   +2 more sources

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