Evaluation of Individual and Community Factors Affecting Adolescents’ Mental Health: A Longitudinal Multilevel Analysis

Lee, Bohye; Choi, Myungsuk; Choi, Minsu

doi:10.1007/s11482-019-09808-y

Cited by 5 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies from different contexts also show the strength of these effects. For example, VPC estimates of approximately 47% of variation position within individuals, and 51% between individuals are observed for a longitudinal model of adolescent mental health in Korea [38]. Future research could utilise the technique showcased here to explore which other factors, beyond age and cohort, may have a more potent impact on explaining variation in mental ill-health.…”

Section: Plos Onementioning

confidence: 98%

Ageing and cohort trajectories in mental ill-health: An exploration using multilevel models

2020

View full text Add to dashboard Cite

Analyses of health over time must consider the potential impacts of ageing as well as any effects relating to cohort differences. The British Household Panel Survey (BHPS) and Understanding Society longitudinal studies are employed to assess trends in mental ill-health over a 26-year period. This analysis uses cross-classified multilevel models in an exploratory, nonparametric approach to evaluate age and cohort effects net of each other. Mental ill-health evidences an initial worsening trend as people age which then reverses and exhibits improvement in late-middle-age, before declining again in the latter stages of life. There were less defined cohort trends. The modelling technique also reveals the relative importance of the temporal contexts in relation to inter-and intra-individual effects on mental ill-health, demonstrating that the ageing and cohort dimensions explain little variation compared to these more dominant within and between influences. Ultimately, we suggest that researchers would benefit from wider use of this exploratory modelling strategy when evaluating underlying health trends and more research is now needed to explore potential explanations of these baseline trajectories.

show abstract

Section: Plos Onementioning

confidence: 98%

Ageing and cohort trajectories in mental ill-health: An exploration using multilevel models

2020

View full text Add to dashboard Cite

show abstract

“…The introduction of new policies is often top-down and as such can be opposed by health service providers and consumers [ 3 ]. This is also true in mental health, which is currently one of the top public health concerns that affects all aspects of individual lives, as well as the health and wellbeing of families and whole communities [ 4 , 5 , 6 ]. In particular, young people are the most vulnerable, as mental disorders and substance misuse affect at least 1 in 4 young people by the time they reach 25 years of age and are the leading causes of disability and premature death in this age group globally [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Participatory Systems Modelling for Youth Mental Health: An Evaluation Study Applying a Comprehensive Multi-Scale Framework

Lee

Hickie

Occhipinti

et al. 2022

IJERPH

View full text Add to dashboard Cite

The youth mental health sector is persistently challenged by issues such as service fragmentation and inefficient resource allocation. Systems modelling and simulation, particularly utilizing participatory approaches, is offering promise in supporting evidence-informed decision making with limited resources by testing alternative strategies in safe virtual environments before implementing them in the real world. However, improved evaluation efforts are needed to understand the critical elements involved in and to improve methods for implementing participatory modelling for youth mental health system and service delivery. An evaluation protocol is described to evaluate the feasibility, value, impact, and sustainability of participatory systems modelling in delivering advanced decision support capabilities for youth mental health. This study applies a comprehensive multi-scale evaluation framework, drawing on participatory action research principles as well as formative, summative, process, and outcome evaluation techniques. Novel data collection procedures are presented, including online surveys that incorporate gamification to enable social network analysis and patient journey mapping. The evaluation approach also explores the experiences of diverse stakeholders, including young people with lived (or living) experience of mental illness. Social and technical opportunities will be uncovered, as well as challenges implementing these interdisciplinary methods in complex settings to improve youth mental health policy, planning, and outcomes. This study protocol can also be adapted for broader international applications, disciplines, and contexts.

show abstract

Trajectories of Child Cognitive and Socioemotional Development and Associations with Adolescent Health in the UK Millennium Cohort Study

Black

Adjei

Strong

et al. 2023

The Journal of Pediatrics

View full text Add to dashboard Cite

Evaluation of Individual and Community Factors Affecting Adolescents’ Mental Health: A Longitudinal Multilevel Analysis

Cited by 5 publications

References 35 publications

Ageing and cohort trajectories in mental ill-health: An exploration using multilevel models

Ageing and cohort trajectories in mental ill-health: An exploration using multilevel models

Participatory Systems Modelling for Youth Mental Health: An Evaluation Study Applying a Comprehensive Multi-Scale Framework

Trajectories of Child Cognitive and Socioemotional Development and Associations with Adolescent Health in the UK Millennium Cohort Study

Contact Info

Product

Resources

About