The developmental trajectories and predictors of peer support among multicultural adolescents using growth mixture models

2020 ◽  
Vol 31 (4) ◽  
pp. 191-222
Author(s):  
Boram No ◽  
Naya Choi
Author(s):  
Claire Deakin ◽  
Charalampia Papadopoulou ◽  
Muthana Al Obaidi ◽  
Clarissa Pilkington ◽  
Lucy Wedderburn ◽  
...  

Author(s):  
Asghar MohammadpourAsl ◽  
Nazanin Masoudi ◽  
Nasrin Jafari ◽  
Samane Yaghoubi ◽  
Farzaneh Hamidi ◽  
...  

2021 ◽  
Vol 14 (7) ◽  
Author(s):  
Gashtasb Mardani ◽  
Mahdiyeh Alikhani Faradonbeh ◽  
Zahra Fatahian Kelishadrokhi ◽  
Hadi Raeisi Shahraki

2016 ◽  
Vol 29 (3) ◽  
pp. 919-928 ◽  
Author(s):  
Michel G. Nivard ◽  
Gitta H. Lubke ◽  
Conor V. Dolan ◽  
David M. Evans ◽  
Beate St. Pourcain ◽  
...  

AbstractThis study sought to identify trajectories of DSM-IV based internalizing (INT) and externalizing (EXT) problem scores across childhood and adolescence and to provide insight into the comorbidity by modeling the co-occurrence of INT and EXT trajectories. INT and EXT were measured repeatedly between age 7 and age 15 years in over 7,000 children and analyzed using growth mixture models. Five trajectories were identified for both INT and EXT, including very low, low, decreasing, and increasing trajectories. In addition, an adolescent onset trajectory was identified for INT and a stable high trajectory was identified for EXT. Multinomial regression showed that similar EXT and INT trajectories were associated. However, the adolescent onset INT trajectory was independent of high EXT trajectories, and persisting EXT was mainly associated with decreasing INT. Sex and early life environmental risk factors predicted EXT and, to a lesser extent, INT trajectories. The association between trajectories indicates the need to consider comorbidity when a child presents with INT or EXT disorders, particularly when symptoms start early. This is less necessary when INT symptoms start at adolescence. Future studies should investigate the etiology of co-occurring INT and EXT and the specific treatment needs of these severely affected children.


PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0231525
Author(s):  
Kiero Guerra-Peña ◽  
Zoilo Emilio García-Batista ◽  
Sarah Depaoli ◽  
Luis Eduardo Garrido

Author(s):  
Claire T Deakin ◽  
Charalampia Papadopoulou ◽  
Liza J McCann ◽  
Neil Martin ◽  
Muthana Al-Obaidi ◽  
...  

Abstract Objectives Uncertainty around clinical heterogeneity and outcomes for patients with JDM represents a major burden of disease and a challenge for clinical management. We sought to identify novel classes of patients having similar temporal patterns in disease activity and relate them to baseline clinical features. Methods Data were obtained for n = 519 patients, including baseline demographic and clinical features, baseline and follow-up records of physician’s global assessment of disease (PGA), and skin disease activity (modified DAS). Growth mixture models (GMMs) were fitted to identify classes of patients with similar trajectories of these variables. Baseline predictors of class membership were identified using Lasso regression. Results GMM analysis of PGA identified two classes of patients. Patients in class 1 (89%) tended to improve, while patients in class 2 (11%) had more persistent disease. Lasso regression identified abnormal respiration, lipodystrophy and time since diagnosis as baseline predictors of class 2 membership, with estimated odds ratios, controlling for the other two variables, of 1.91 for presence of abnormal respiration, 1.92 for lipodystrophy and 1.32 for time since diagnosis. GMM analysis of modified DAS identified three classes of patients. Patients in classes 1 (16%) and 2 (12%) had higher levels of modified DAS at diagnosis that improved or remained high, respectively. Patients in class 3 (72%) began with lower DAS levels that improved more quickly. Higher proportions of patients in PGA class 2 were in DAS class 2 (19%, compared with 16 and 10%). Conclusion GMM analysis identified novel JDM phenotypes based on longitudinal PGA and modified DAS.


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