21 research outputs found
Gender differences in trajectories of depressive symptoms across childhood and adolescence: A multi-group growth mixture model
Background
This study sought to identify depression trajectories across childhood and to model a range of child and family predictors of whether a child may be on an increasing trajectory towards depressive disorder in adolescence.
Methods
Multi-group growth mixture modelling (MGMM) was used on a sample of 4983 children from the Longitudinal Study of Australia Children (LSAC). Depressive symptoms of these children were assessed over 10-years with six time-points, administered every second year commencing at 4 years via the parent report version of the Strength and Difficulties Questionnaire. Predictors of class membership were also examined.
Results
Four trajectories were found to be the best fitting model characterising low-stable (75%); decreasing (11%); increasing (9%); high and rising (6%) groups. Females were more likely to be in a trajectory of increasing depressive symptoms between 4 and 14 years of age than males. Reactive temperament and maternal depression at four and six years of age were consistent predictors of increasing and high trajectories while persistent temperament acts as a protective factor for females.
Limitations
The findings should be interpreted in the light of limitations due to common-method variance and the absence of diagnostic indicators of depressive disorder.
Conclusions
We conclude that there are gender differences in patterns of depressive symptoms from childhood to adolescence and meaningful predictors of these early developmental trajectories. Preventative interventions in childhood targeting parents with depression and children with temperamental difficulties may be indicated
Adolescent depressive symptoms in India, Australia and USA: Exploratory Structural Equation Modelling of cross-national invariance and predictions by gender and age
Background
The present study compares depressive symptoms in adolescents from three countries: Mumbai, India; Seattle, United States; and Melbourne, Australia measured using the Short Moods and Feelings Questionnaire (SMFQ). The study cross nationally compares SMFQ depressive symptom responses by age and gender.
Methods
Data from a cross-nationally matched survey were used to compare factorial and measurement characteristics from samples of students from Grade 7 and 9 in Mumbai, India (n=3268) with the equivalent cohorts in the Washington State, USA (n=1907) and Victoria, Australia (n=1900). Exploratory Structural Equation Modelling (ESEM) was used to cross-nationally examine factor structure and measurement invariance.
Results
A number of reports suggesting that SMFQ is uni-dimensional were not supported in findings from any country. A model with two factors was a better fit and suggested a first factor clustering symptoms that were affective and physiologically based symptoms and a second factor of self-critical, cognitive symptoms. The two-factor model showed convincing cross national configural invariance and acceptable measurement invariance. The present findings revealed that adolescents in Mumbai, India, reported substantially higher depressive symptoms in both factors, but particularly for the self-critical dimension, as compared to their peers in Australia and the USA and that males in Mumbai report high levels of depressive symptoms than females in Mumbai.
Limitations
the cross sectional study collected data for adolescents in Melbourne and Seattle in 2002 and the data for adolescents in Mumbai was obtained in 2010â2011
Conclusions
These findings suggest that previous findings in developed nations of higher depressive symptoms amongst females compared to males may have an important cultural component and cannot be generalised as a universal feature of adolescent development
Preparing Adolescence for Success in School and Life : Part of the PACE and Resilient Families Initiative
Associations between the physical and social environment and depressive symptomology among Australian adolescents
Depression is a significant public health issue among Australian adolescents. A number of family, school and community level factors have been identified as important determinants of adolescent\u27s health and well-being, including depression. This study examines associations between measures of the social and physical environment and adolescent mental health, specifically depressive symptomotology using data from the Healthy Neighbourhoods study, a large observational study carried out in 231 Australian schools stratified by socioeconomic quartiles and urban/non-urban geography, which focuses on adolescent health and well-being. Participants were 8256 year 6 and 8students (48% male), aged 11-16 years (M = 11.6, SD = 0.8 years) from schools across Victoria,Queensland and Western Australia who completed a comprehensive on-line survey. Data collected included the Short Mood and Feeling Questionnaire (SMFQL a tool for assessing depressive symptomotology in adolescents. Results showed that the mean total depression score (possible range 0-26 with total scores;:: 8 used as the cutoff for depression symptomotology) was 6.4 (SD = 5.9), with scores for females (M = 6.8, SD = 6.3) higher than those for males (M = 5.9, SD = 5.5), and scores for year 8 students (M = 6.7,SD = 6.1) higher than those for year 6 students (M = 6.2, SD = 5.8) (p < .001). Greater access to sporting and play equipment, local parks, and more functional neighbourhoods for walking and jogging reduced the odds for depressive symptomotology (p < .05L while increased levels of abandoned homes, and higher levels of fighting within the neighbourhood, and fewer scout/guide clubs, local teams to play sport, and adults in the neighbourhood to talk with, as well as reduced neighbourhood safety increased the odds for depressive symptomotology (p < .05). These findings support the important role of physical and social environments in influencing adolescent health and well-being. Modifications to particular aspects of these environments at the community level may assist in providing adolescents some protection from depression.<br /
A Multi-Family group intervention for adolescent depression: the BEST MOOD Program
Depression is the most common mental disorder for young people and it is associated with educational under-achievement self-harm, and suicidality. Current psychological therapies for adolescent depression are usually focused only on individual-level change and often neglect family or contextual influences. The efficacy of interventions may be enhanced with a broader therapeutic focus on family factors such as communication, conflict, support and cohesion. This paper describes a structured multi-family group approach to the treatment of adolescent depression: Behaviour Exchange Systems Training for adolescent depression (BEST MOOD). BEST MOOD is a manualized intervention that is designed to address both individual and family factors in the treatment of adolescent depression. BEST MOOD adopts a family systems approach that also incorporates psycho-education and elements of attachment theories. The program consists of eight multi-family group therapy sessions delivered over two hours per week, where parents attend the first four sessions and young people and siblings join from week five. The program design is specifically aimed to engage youth who are initially resistant to treatment and to optimize youth and family mental health outcomes. This paper presents an overview of the theoretical model, the session content, and evaluations to-date, and provides a case study to illustrate the approach
Review: Longitudinal trajectories of child and adolescent depressive symptoms and their predictors - a systematic review and meta-analysis
Background
With depression predicted to contribute to an increased disease burden in coming decades, prevention efforts have become increasingly important. In order to prevent depression it is valuable to identify and classify longitudinal patterns of depressive symptoms across development, ideally beginning early in childhood. To achieve this, longitudinal studies are increasingly using personâcentered dataâanalytic methods to model subgroups with similar developmental patterns (trajectories) of depressive symptoms.
Method
A search was completed for English language studies that longitudinally modeled depressive symptom trajectories in nonclinical populations with a baseline age of <19 years. Study characteristics were extracted, prevalence rates and risk factors were summarized, a randomâeffect metaâanalysis was undertaken, and risk of bias analysis completed.
Results
Twenty studies published between 2002 and 2015 were included. Participants were recruited at ages 4 through 17 (average age 12.34) and followed longitudinally for an average of 7.45 years. Between 3 and 11 trajectory subgroups were identified. A random pooled effect estimate identified 56% [95% Confidence Interval (CI) 46â65%] of the sampled study populations (N = 41,236) on âNo or lowâ depressive symptom trajectories and 26% (CI 14â40%) on a âModerateâ trajectory. âHighâ, âIncreasingâ, and âDecreasingâ depressive symptom subgroups were evident for 12% (CI 8â17%). Moderate symptoms were associated with poorer adjustment and outcomes relative to low symptom groups. âHighâ or âIncreasingâ trajectories were predominantly predicted by: female gender, low socioeconomic status, higher stress reactivity; conduct issues; substance misuse, and problems in peer and parental relationships.
Conclusions
The review highlighted consistent evidence of subgroups of children and adolescents who differ in their depressive symptom development over time. The findings suggest preventative interventions should evaluate the longer term benefits of increasing membership in low and moderate trajectories, while also targeting reductions in highârisk subgroups. Considerable betweenâstudy method and measurement variation indicate the need for future trajectory studies to use standardized methods
A randomized controlled trial of the impact of a Family-Based adolescent depression intervention on both youth and parent mental health outcomes
This paper presents findings from a multi-centre, double-blind, randomized controlled trial that tested the hypothesis that parent and youth mental health improvements would be superior in a family-based intervention for adolescent depression (BEST MOOD) compared to a treatment-as-usual supportive parenting program (PAST). Eligible participants were families with a young person aged between 12 and 18 years who met diagnostic criteria for a depressive disorder (major, minor or dysthymic). Participating families (N = 64; 73.4% of youth were female) were recruited in Victoria, Australia and allocated to treatment condition using a block randomization procedure (parallel design) with two levels of blinding. This paper reports on the trialâs secondary outcomes on youth and parent mental health. General linear mixed models were used to examine the longitudinal effect of treatment group on outcome. Data were analyzed according to intention-to-treat; 31 families were analyzed in BEST MOOD, and 33 families in PAST. Parents in the BEST MOOD group experienced significantly greater reductions in stress and depressive symptoms than parents in the PAST group at 3-month follow-up. A greater reduction in parental anxiety was observed in the BEST MOOD group (d = 0.35) compared with PAST (d = 0.02), although the between-group difference was not significant. Both groups of youth showed similar levels of improvement in depressive symptoms at post-treatment (d = 0.83 and 0.80 respectively), which were largely sustained at a 3-month follow-up. The family-based BEST MOOD intervention appeared superior to treatment-as-usual (PAST) in demonstrating greater reductions in parental stress and depression. Both interventions produced large reductions in youth depressive symptoms
Multi-level and modifiable factors that underlie community variation in child tobacco use
The aim of this study was to explore crosssectional predictors of tobacco smoking that may assist prevention strategies addressing individuals within their social context. Despite considerable success in tobacco use prevention, a high proportion of young Australians initiate smoking