Developmental trajectories of anxious and depressive problems during the transition from childhood to adolescence: Personality × Parenting interactions

2014 ◽  
Vol 26 (4pt1) ◽  
pp. 1077-1092 ◽  
Author(s):  
Peter Prinzie ◽  
Leanthe V. van Harten ◽  
Maja Deković ◽  
Alithe L. van den Akker ◽  
Rebecca L. Shiner
Keyword(s):  
Depressive Symptoms ◽  
Developmental Trajectories ◽  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Class Membership ◽  
Community Based ◽  
Mothers And Fathers ◽  
Growth Mixture ◽  
Personality Facets ◽  
Overreactive Parenting

AbstractThis study examined separate developmental trajectories of anxious and depressive symptoms from childhood to adolescence (9–15 years) in a community-based sample (N= 290). At three measurement points, mothers and fathers reported on their children's anxious and depressive symptoms, and at Time 1 they reported on lower order child personality facets and on their parenting. By means of growth mixture modeling, three developmental trajectories were identified for anxious symptoms: steady low (82%), moderate increasing–decreasing (5.9%), and high declining groups (12.1%). For depressive symptoms, two developmental trajectories were found: steady low (94.1%) and moderate increasing groups (5.9%). Higher shyness, irritability, and altruism predicted membership in more problematic anxious and depressive groups. The personality facets energy, optimism, compliance, and anxiety were unique predictors for class membership for anxious symptoms, and the effects of shyness, irritability, and compliance were moderated by overreactive parenting. Shyness and irritability increased the probability of following the moderate increasing–decreasing anxiety trajectory, but only in the context of high or average levels of overreactive parenting. Compliance increased the probability of following the moderate increasing–decreasing and high decreasing trajectories in the context of high overreactive parenting. Our results indicate that childhood personality facets differentiate trajectories of anxious and depressive symptoms in theoretically compelling ways.

scholarly journals Child personality facets and overreactive parenting as predictors of aggression and rule-breaking trajectories from childhood to adolescence

2015 ◽  
Vol 28 (2) ◽  
pp. 399-413 ◽  
Author(s):  
Andrik I. Becht ◽  
Peter Prinzie ◽  
Maja Deković ◽  
Alithe L. van den Akker ◽  
Rebecca L. Shiner
Keyword(s):  
Developmental Trajectories ◽  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Children At Risk ◽  
Mothers And Fathers ◽  
Time Points ◽  
Growth Mixture ◽  
Personality Facets ◽  
Rule Breaking ◽  
Overreactive Parenting

AbstractThis study examined trajectories of aggression and rule breaking during the transition from childhood to adolescence (ages 9–15), and determined whether these trajectories were predicted by lower order personality facets, overreactive parenting, and their interaction. At three time points separated by 2-year intervals, mothers and fathers reported on their children's aggression and rule breaking (N = 290, M age = 8.8 years at Time 1). At Time 1, parents reported on their children's personality traits and their own overreactivity. Growth mixture modeling identified three aggression trajectories (low decreasing, high decreasing, and high increasing) and two rule-breaking trajectories (low and high). Lower optimism and compliance and higher energy predicted trajectories for both aggression and rule breaking, whereas higher expressiveness and irritability and lower orderliness and perseverance were unique risk factors for increasing aggression into adolescence. Lower concentration was a unique risk factor for increasing rule breaking. Parental overreactivity predicted higher trajectories of aggression but not rule breaking. Only two Trait × Overreactivity interactions were found. Our results indicate that personality facets could differentiate children at risk for different developmental trajectories of aggression and rule breaking.

scholarly journals General Approaches to Analysis of Course: Applying Growth Mixture Modeling to Randomized Trials of Depression Medication

2011 ◽  
Author(s):  
Bengt Muthé N ◽  
Hendricks C. Brown
Keyword(s):  
Treatment Effects ◽  
Randomized Trials ◽  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Mixed Effects ◽  
Class Membership ◽  
Growth Mixture ◽  
Mixed Effects Modeling ◽  
Different Types ◽  
And Cluster Analysis

This chapter discusses the assessment of treatment effects in longitudinal randomized trials using growth mixture modeling (GMM) (Muthén & Shedden, 1999; Muthén & Muthén, 2000; Muthén et al., 2002; Muthén & Asparouhov, 2009). GMM is a generalization of conventional repeated measurement mixed-effects (multilevel) modeling. It captures unobserved subject heterogeneity in trajectories not only by random effects but also by latent classes corresponding to qualitatively different types of trajectories. It can be seen as a combination of conventional mixed-effects modeling and cluster analysis, also allowing prediction of class membership and estimation of each individual’s most likely class membership. GMM has particularly strong potential for analyses of randomized trials because it responds to the need to investigate for whom a treatment is effective by allowing for different treatment effects in different trajectory classes. The chapter is motivated by a University of California, Los Angeles study of depression medication (Leuchter, Cook, Witte, Morgan, & Abrams, 2002). Data on 94 subjects are drawn from a combination of three studies carried out with the same design, using three different types of medications: fluoxetine (n = 14), venlafaxine IR (n = 17), and venlafaxine XR (n = 18). Subjects were measured at baseline and again after a 1-week placebo lead-in phase. In the subsequent double-blind phase of the study, the subjects were randomized into medication (n = 49) and placebo (n = 45) groups. After randomization, subjects were measured at nine occasions: at 48 hours and at weeks 1–8. The current analyses consider the Hamilton Depression Rating Scale. Several predictors of course of the Hamilton scale trajectory are available, including gender, treatment history, and a baseline measure of central cordance hypothesized to influence tendency to respond to treatment. The results of studies of this kind are often characterized in terms of an end point analysis where the outcome at the end of the study, here at 8 weeks, is considered for the placebo group and for the medication group.

scholarly journals Trajectories of Postpartum Depression in Italian First-Time Fathers

2016 ◽  
Vol 11 (4) ◽  
pp. 880-887 ◽  
Author(s):  
Sara Molgora ◽  
Valentina Fenaroli ◽  
Matteo Malgaroli ◽  
Emanuela Saita
Keyword(s):  
Depressive Symptoms ◽  
Postpartum Depression ◽  
Edinburgh Postnatal Depression Scale ◽  
Depression Scale ◽  
Growth Mixture Modeling ◽  
Well Being ◽  
Mixture Modeling ◽  
Latent Growth ◽  
Growth Mixture ◽  
First Time

Paternal postpartum depression (PPD) has received little attention compared with maternal prenatal and postpartum depression, despite research reporting that paternal PPD concerns a substantial number of fathers. History of depression and antenatal depression have been identified as important PPD’s risk factors, underlining the continuity of depressive symptoms during the transition to parenthood. However, only few studies have focused on the evolution of depressive symptoms with longitudinal research design. The present study aims at analyzing the longitudinal trajectories of depressive symptoms from the third trimester of pregnancy to 1 year after childbirth. One hundred and twenty-six first-time fathers completed the Edinburgh Postnatal Depression Scale at four time points (7-8 months of pregnancy, 40 days, 5-6 months, and 12 months after childbirth). Data were analyzed throughout latent growth mixture modeling. Latent growth mixture modeling analysis indicated a three-class model as the optimal solution. The three-class solution included a trajectory of low, stable depressive symptoms across the four time points ( resilient, 52%); a trajectory of moderate, relatively stable depressive symptomatology ( distress, 37%); and a trajectory of emergent clinical depression following a pattern of high depressive symptoms ( emergent depression, 11%). This study allowed to identify different subpopulation within the sample, distinguishing among mental well-being, emotional distress, and high-risk conditions when—1 year after childbirth—fathers report the highest scores to the Edinburgh Postnatal Depression Scale. These results underline the importance to analyze fathers’ well-being over the time during the transition to fatherhood.

scholarly journals Outcomes of ADHD Symptoms in Late Adolescence: Are Developmental Subtypes Important?

2018 ◽  
Vol 24 (1) ◽  
pp. 113-125 ◽  
Author(s):  
Aja Louise Murray ◽  
Tom Booth ◽  
Bonnie Auyeung ◽  
Manuel Eisner ◽  
Denis Ribeaud ◽  
...  
Keyword(s):  
Age Of Onset ◽  
Late Onset ◽  
Developmental Trajectories ◽  
Behavioral Outcomes ◽  
Growth Mixture Modeling ◽  
Late Adolescence ◽  
Adhd Symptoms ◽  
Community Based ◽  
Symptom Trajectories ◽  
Growth Mixture

Objective: Substantial individual variation exists in the age of onset and course of ADHD symptoms over development. We evaluated whether, within this variation, meaningful developmental subtypes can be defined. Method: Using growth mixture modeling in a community-based sample ( N = 1,571), we analyzed ADHD symptom trajectories based on measures taken at ages 7, 8, 9, 10, 11, 13, and 15 years. We evaluated whether those showing developmental trajectories characterized by later onsets versus early onsets differed in terms of mental health and behavioral outcomes in late adolescence (age 17 years). Result: The late onset category was best conceptualized as a milder subtype than early onset. The former was, however, more similar in outcomes to the latter than to the unaffected category, suggesting that later onsets are still associated with impairment. Conclusion: Considering diagnoses for those affected by ADHD symptoms but who do not meet current age of onset criteria may be important for ensuring that they receive appropriate support.

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