Classification of child BMI trajectories identified by latent class growth analysis: Differences in socio-emotional development

2019 ◽  
Vol 66 ◽  
pp. 135-157
Author(s):  
Sunmin Eun ◽  
Youngah Park ◽  
Chungil Kim ◽  
Kangyi Lee
Keyword(s):  
Emotional Development ◽  
Growth Analysis ◽  
Latent Class ◽  
Latent Class Growth Analysis ◽  
Bmi Trajectories ◽  
Child Bmi ◽  
Latent Class Growth

scholarly journals Course trajectories of unipolar depressive disorders identified by latent class growth analysis

2011 ◽  
Vol 42 (7) ◽  
pp. 1383-1396 ◽  
Author(s):  
D. Rhebergen ◽  
F. Lamers ◽  
J. Spijker ◽  
R. de Graaf ◽  
A. T. F. Beekman ◽  
...  
Keyword(s):  
Growth Analysis ◽  
Depressive Disorders ◽  
Latent Class ◽  
Age Of Onset ◽  
Childhood Adversity ◽  
Unipolar Depression ◽  
Dysthymic Disorder ◽  
Latent Class Growth Analysis ◽  
Latent Class Growth

BackgroundCurrent classification of unipolar depression reflects the idea that prognosis is essential. However, do DSM categories of major depressive disorder (MDD), dysthymic disorder (Dysth) and double depression (DD=MDD+Dysth) indeed adequately represent clinically relevant course trajectories of unipolar depression? Our aim was to test DSM categories (MDD, Dysth and DD) in comparison with empirically derived prognostic categories, using a prospectively followed cohort of depressed patients.MethodA large sample (n=804) of out-patients with unipolar depression were derived from a prospective cohort study, the Netherlands Study of Depression and Anxiety (NESDA). Using latent class growth analysis (LCGA), empirically derived 2-year course trajectories were constructed. These were compared with DSM diagnoses and a wider set of putative predictors for class membership.ResultsFive course trajectories were identified, ranging from mild severity and rapid remission to high severity and chronic course trajectory. Contrary to expectations, more than 50% of Dysth and DD were allocated to classes with favorable course trajectories, suggesting that current DSM categories do not adequately represent course trajectories. The class with the most favorable course trajectory differed on several characteristics from other classes (younger age, more females, less childhood adversity, less somatic illnesses, lower neuroticism, higher extraversion). Older age, earlier age of onset and lower extraversion predicted poorest course trajectory.ConclusionsMDD, Dysth and DD did not adequately match empirically derived course trajectories for unipolar depression. For the future classification of unipolar depression, it may be wise to retain the larger, heterogeneous category of unipolar depression, adopting cross-cutting dimensions of severity and duration to further characterize patients.

scholarly journals The course of social media use problems in secondary school adolescents: A latent class growth analysis

2021 ◽  
Author(s):  
Maartje Boer ◽  
gonneke stevens ◽  
Catrin Finkenauer ◽  
Regina van den Eijnden
Keyword(s):  
Social Media ◽  
Secondary School ◽  
Growth Analysis ◽  
Latent Class ◽  
Media Use ◽  
Latent Class Growth Analysis ◽  
Social Media Use ◽  
Immigrant Background ◽  
Low Levels ◽  
Latent Class Growth

Little is known about how addiction-like social media use (SMU) problems evolve over time. Using four waves of longitudinal data collected in 2015-2019 from 1,414 adolescents (Mage = 12.5, 46.0% girl, 21.9% immigrant background), this study aimed to identify adolescents’ trajectories of SMU problems in parallel with their trajectories of SMU intensity. Latent class growth analysis identified two subgroups with persistently high levels of SMU problems, of which one with high (24.7%) and one with average SMU intensity (14.8%), and two subgroups with persistently low levels of SMU problems, of which one with low (22.3%) and one with high SMU intensity (38.2%). Compared to the largest subgroup, the two subgroups with high levels of SMU problems showed more problematic profiles.

scholarly journals Symptom Trajectories in Children Receiving Treatment for Leukemia: A Latent Class Growth Analysis With Multitrajectory Modeling

2017 ◽  
Vol 54 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Marilyn J. Hockenberry ◽  
Mary C. Hooke ◽  
Cheryl Rodgers ◽  
Olga Taylor ◽  
Kari M. Koerner ◽  
...  
Keyword(s):  
Growth Analysis ◽  
Latent Class ◽  
Latent Class Growth Analysis ◽  
Symptom Trajectories ◽  
Latent Class Growth

A Longitudinal, Latent Class Growth Analysis of the Association of Aggression and Special Education in an Urban Sample

2017 ◽  
Vol 22 (2) ◽  
pp. 135-147
Author(s):  
Shelley R. Hart ◽  
Rashelle J. Musci ◽  
Tal Slemrod ◽  
Emily Flitsch ◽  
Nicholas Ialongo
Keyword(s):  
Special Education ◽  
Growth Analysis ◽  
Latent Class ◽  
Latent Class Growth Analysis ◽  
Urban Sample ◽  
Latent Class Growth

Constructive, illusory, and distressed posttraumatic growth among survivors of breast cancer: A 7-year growth trajectory study

2018 ◽  
Vol 25 (13-14) ◽  
pp. 2233-2243 ◽  
Author(s):  
Chih-Tao Cheng ◽  
Samuel MY Ho ◽  
Yi-Chen Hou ◽  
Yihuan Lai ◽  
Ging-Long Wang
Keyword(s):  
Breast Cancer ◽  
Posttraumatic Growth ◽  
Growth Analysis ◽  
Breast Cancer Survivors ◽  
Latent Class ◽  
Growth Trajectory ◽  
Latent Class Growth Analysis ◽  
Frequent Use ◽  
Trajectory Pattern ◽  
Latent Class Growth

A total of 84 breast cancer survivors completed a package of psychological inventories in 2009 (Time 1), 2012 (Time 2), and 2016 (Time 3). Latent class growth analysis revealed three posttraumatic growth trajectory patterns: distressed posttraumatic growth ( n = 5, 6.7%), illusory posttraumatic growth ( n = 42, 56.0%), and constructive posttraumatic growth ( n = 28, 37.3%). Women with more frequent use of helplessness–hopelessness coping and lower depression levels at Time 1 were more likely to display an illusory than a constructive posttraumatic growth trajectory pattern. Illusory posttraumatic growth might represent a form of coping rather than authentic positive changes. Researchers and clinicians should understand different patterns of posttraumatic growth.

Mood fluctuation in Antarctic expeditioners: does one size fit all?

Polar Record ◽  
2019 ◽  
Vol 55 (2) ◽  
pp. 93-101
Author(s):  
Clare Hawkes ◽  
Kimberley Norris ◽  
Jeff Ayton ◽  
Douglas Paton
Keyword(s):  
Growth Analysis ◽  
Quantitative Methods ◽  
Latent Class ◽  
Well Being ◽  
Latent Class Growth Analysis ◽  
Traditional Group ◽  
Latent Class Growth Model ◽  
Mood Fluctuation ◽  
Latent Class Growth ◽  
Insight Into

AbstractIt has long been argued that mood fluctuation patterns in Antarctic expeditioners are largely homogeneous. This research investigated mood fluctuation patterns throughout all the stages of Antarctic deployment using latent class growth analysis. Utilising advanced statistical methods, such as latent class growth analysis, can greatly help in identifying if mood fluctuation patterns experienced by Antarctic expeditioners are homogenous, and provide insight into mood fluctuation patterns, which was not possible with traditional group-based quantitative methods. Gaining a greater insight into mood fluctuation patterns in Antarctic expeditioners can assist with the development, and implementation of, strategies to assist with expeditioner well-being. The analysis was conducted on 423 expeditioner from the Australian Antarctic program between the 2005-2009 Antarctic deployment seasons. The results supported the notion that mood fluctuation patterns in expeditioners within the Australian-Antarctic programme were largely homogeneous, as a 1-class cubic latent class growth model was identified as being the optimal fit for the dataset. Theoretical and practical implications are discussed in relation to research and prevention and intervention strategies.

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